Halogenases and dehalogenases: mechanisms, engineering, and applications
Jing
Luo
a,
Na
Li
a,
Jia
Wang
a,
Yaojie
Gao
a,
Hongzhi
Tang
*a,
Linquan
Bai
*a,
Sang Yup
Lee
*bcd and
Yaojun
Tong
*a aState Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic and Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China. E-mail: tanghongzhi@sjtu.edu.cn; bailq@sjtu.edu.cn; yaojun.tong@sjtu.edu.cn bMetabolic and Biomolecular Engineering National Research Laboratory, Department of Chemical and Biomolecular Engineering (BK21 Four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea. E-mail: leesy@kaist.ac.kr cBioProcess Engineering Research Center, KAIST, Daejeon 34141, Republic of Korea dGraduate School of Engineering Biology, KAIST, Daejeon 34141, Republic of Korea
Received
6th August 2025
First published on 3rd November 2025
Abstract
Halogenated organic compounds (HOCs) are essential building blocks in pharmaceuticals, agrochemicals, and advanced materials. However, their conventional chemical synthesis often relies on hazardous reagents and generates significant environmental waste. Harnessing nature's solutions, halogenases and dehalogenases offer selective, eco-friendly alternatives for the biosynthesis and degradation of HOCs. Halogenases, including electrophilic (e.g., haloperoxidases, flavin-dependent), radical (α-ketoglutarate-dependent), and nucleophilic (S-adenosylmethionine (SAM)-dependent) types, facilitate precise C–X bond formation under mild conditions. Recent advances in protein engineering, such as the modification of tryptophan halogenases and fluorinases, have greatly expanded the repertoire and efficiency of biocatalytic halogenation, enabling the production of new-to-nature compounds for synthetic biology applications. In parallel, dehalogenases, ranging from reductive to hydrolytic and oxidative enzymes, play crucial roles in removing halogens from persistent pollutants, thereby supporting effective bioremediation and environmental detoxification. This review summarizes recent progress in enzyme discovery, mechanistic elucidation, protein engineering, and applied synthetic biology, with a focus on the integration of halogenases and dehalogenases into scalable platforms for both biosynthetic and remediation. Continued research aimed at improving enzyme stability, substrate scope, and operational robustness will be critical to fully realizing the industrial and environmental potential of these versatile biocatalysts.
Jing Luo
Jing Luo completed her postdoctoral training at Shanghai Jiao Tong University, where her research centered on developing compact and high-efficiency, TnpB-based, STAGE genome editing tools for Streptomyces to advance synthetic biology and strain engineering. She obtained her PhD in Toxicology and Environmental Biology from the University of Strasbourg, focusing on microbial pathway for methyl halide degradation. Her research interests include genome editing, microbial metabolic engineering, enzymatic mechanisms of halogenated compound degradation, natural product biosynthesis, and environmental biotechnology.
Hongzhi Tang
Hongzhi Tang, awardee of National Science Fund for Distinguished Young Scholars, is an Tenured Professor at Shanghai Jiao Tong University. He is the vice dean of School of Life Sciences & Biotechnology and the vice director of State Key Laboratory of Microbial Metabolism. His laboratory focuses on microbial synthetic biology and environmental microbiology. He and co-workers has made outstanding achievements in areas such as exploration of microbial resources for refractory organic pollutants, characterization of the molecular mechanisms of catabolism, and construction of artificial multicellular systems. He has published more than 60 articles in Nature, Nat. Commun., and so on.
Linquan Bai
Linquan Bai, is a Senior Professor and Vice Director of the State Key Laboratory of Microbial Metabolism at Shanghai Jiao Tong University. He holds a Ph.D. degree in Biochemistry and Molecular Biology from Huazhong Agricultural University, Wuhan, China, with post-doctoral experience at University of Washington, Seattle, USA. His research interests include mining of natural products, understanding the biosynthetic and regulatory mechanisms of secondary metabolism, pathway engineering and synthetic biology, and functional genomics of antibiotic producers. He is coauthor of over 100 publications and patent applications in microbial natural products.
Sang Yup Lee
Sang Yup Lee is a Distinguished Professor and Senior Vice President for Research at KAIST. His research focuses on systems metabolic engineering, integrating metabolic engineering with synthetic biology, systems biology, and evolutionary engineering. He has received numerous awards and honors, including the Eni Award from the President of Italy and the Order of Science and Technology Merit – Changjo Medal, the highest distinction conferred by the Korean government. He is also an International Member of both the U.S. National Academy of Sciences and the National Academy of Engineering, and a foreign member of Royal Society UK and Chinese Academy of Engineering.
Yaojun Tong
Yaojun Tong, awardee of NSFC Excellent Young Scientists Fund (Overseas), is an Associate Professor at Shanghai Jiao Tong University. His laboratory focuses on microbial synthetic biology, with an emphasis on Streptomyces and other industrial microbes. He and co-workers have developed CRISPR-Cas and TnpB related genome editing platforms and multiplexed RNA regulation systems to enable rapid genome rewiring and pathway refactoring. He is an Associate Editor of Synthetic and Systems Biotechnology and actively serves the community through editorial and conference organizer roles. His current interests integrate AI-assisted protein design, programmable gene control, and living therapeutics for solid tumors.
1. Introduction
HOCs are carbon-containing molecules with halogen substituents (Cl, Br, I, and F). To date, approximately 8400 naturally occurring organohalogen compounds have been identified,1 including well-known bioactive molecules such as the anti-tumor agent rebeccamycin, and the antibiotics chloramphenicol and vancomycin. The vast majority are either chlorinated (∼50%) or brominated (∼45%), while iodinated (∼100 compounds) and fluorinated (only ∼5 compounds) metabolites remain comparatively rare.2,3 Because halogen substituents can fine-tune molecular bioactivity, bioavailability, and metabolic stability,4,5 HOCs are widely used across industrial, agrochemical, pharmaceutical, and materials sectors (Fig. 1). Notable examples include thiamethoxam, a novel neonicotinoid that has rapidly become one of the world's best-selling insecticides;6 Nirmatrelvir (trade name Paxlovid®), a fluorinated antiviral recently approved for the treatment of COVID-19;7 imidacloprid, a historically important insecticide; and loratadine (Claritin®), a popular chlorinated antihistamine.5,8 Reflecting their significance, halogenated compounds accounted for 96% of new herbicides, fungicides, insecticides, acaricides, and nematicides introduced to the market since 2010.5 Currently, most HOCs are synthesized through chemical reactions such as halogen addition, hydrohalogenation, nucleophilic substitution, and electrophilic aromatic substitution.5 However, these traditional halogenation processes often require toxic and hazardous reagents, harsh conditions, and environmentally damaging solvents.9 They frequently generate complex and harmful byproducts, lack regioselectivity,2 and are generally expensive, time-consuming, and inefficient. Moreover, the widespread use and persistence of HOCs have led to significant environmental risks due to their bioaccumulative properties and toxicity, which can adversely impact plants, animals, and humans. Given these challenges, developing eco-friendly strategies for both HOC synthesis and remediation has become an urgent priority. In this review, we summarize recent advances in halogenase and dehalogenase discovery, mechanistic understanding, protein engineering, and their growing potential for sustainable halogenation and dehalogenation in synthetic biology.
Fig. 1 Representative commercial organohalides. Structures of widely used halogenated compounds across agrochemical and pharmaceutical sectors: Imidacloprid (insecticide), Loratadine (pharmaceutical), Chlorothalonil (fungicide), Fipronil (insecticide), Ledipasvir (pharmaceutical), and Sofosbuvir (pharmaceutical). Halogen atoms are color-coded by type: chlorine (Cl) in bright magenta, fluorine (F) in red.
2. HOCs synthesis
A diverse set of enzymes mediate halogenation in nature, incorporating halogens into a wide array of molecular scaffolds.10 The introduction of halogens often has a profound impact on biological activity of natural products, including many antifungal agents. As a result, the structural and mechanistic diversity of halogenases has been the subject of extensive study over the last few decades, halogenases are broadly categorized into three classes: electrophilic, radical, and nucleophilic types2 (Fig. 2).
Fig. 2 Representative mechanisms of halogenation reactions classified by reaction pathway. (A) Electrophilic halogenation via haloperoxidases or FDHs (adapted from ref. 11), where halide ions are oxidized to electrophilic species (e.g., HOX) that react with electron-rich substrates. (B) Radical halogenation by non-heme Fe(II)/αKG-dependent enzymes, involving C–H bond activation and radical recombination with halides. Adapted from ref. 12. (C) Nucleophilic halogenation by SAM-dependent halogenases, where halide ions directly displace leaving groups in nucleophilic substitution reactions.
2.1 Electrophilic halogenation
Electrophilic halogenases represent the largest group of halogenating enzymes and are responsible for generating electrophilic halogen species via halogen oxidation.5 These enzymes predominantly catalyze the formation of C–Cl, C–Br, and C–I bonds through electrophilic pathways. Depending on their catalytic mechanisms and required cofactors, electrophilic halogenases can be further subdivided into two major categories.
2.1.1 Haloperoxidases. Haloperoxidases are a diverse group of oxidative enzymes that catalyze the halogenation of organic molecules using hydrogen peroxide (H2O2) and halide ions (Cl−, Br−, or I−) to generate hypohalous acids (HOX)5 (Fig. 2A and Table 1). As one of the earliest and most studied biological halogenating agents, haloperoxidases enabled halogen incorporation into organic scaffolds long before the discovery of flavin-dependent halogenases.2,13 Their catalytic versatility, selectivity, and ability to function under mild aqueous conditions make them valuable for synthesizing halogenated compounds with pharmaceutical, agricultural, and industrial applications.
Table 1Representative haloperoxidases recently discovered or characterized
Haloperoxidases are generally divided into vanadium-dependent (VHPOs) and heme-dependent types, based on their cofactors and mechanisms. VHPOs utilize a vanadate cofactor to form peroxovanadate intermediates that oxidize halides into HOX for subsequent halogenation of electron-rich substrates. These enzymes are widely distributed across marine macroalgae, bacteria, fungi, and cyanobacteria.14–16,19,20 Structural studies, such as those on NapH1 and NapH3 from Streptomyces, have revealed their role in regio- and stereoselective halogenation during the biosynthesis of meroterpenoids like napyradiomycin16 (Fig. 3A). Notably, key active-site residues and substrate-binding pockets shape both reactivity and selectivity, and post-translational modifications (for example, histidine phosphorylation in NapH3) can shift enzymatic function toward isomerization. In marine macroalgae, VHPOs are central to iodine metabolism and contribute to ecological processes such as halogenated metabolite production and embryo development. Genomic surveys in brown algae (e.g., Saccharina japonica) have revealed massive expansion and diversification of VHPO genes, likely driven by horizontal gene transfer and adaptive evolution, reflecting their role in environmental adaptation and chemical defense.17 Recently, haloperoxidases, particularly VHPOs, have gained significant attention for their ability to catalyze selective, late-stage halogenation of complex molecules. They have been used for regioselective bromination of indoles,21 site-selective halogenation of flavonoids,22 and functionalization of quorum sensing molecules such as alkyl quinolones.23 VHPOs also enable chemoenzymatic heterocycle formation,24 including the oxidative dimerization of thioamides to thiadiazoles, N-halogenation of benzamidines to 1,2,4-oxadiazoles,25 and even diazo compound formation from hydrazones via N–N bond oxidation,26 all with high chemo-, regio-, and stereoselectivity. Protein engineering and structure-guided mutagenesis have further broadened the substrate range and selectivity of haloperoxidases. For instance, point mutations in cyanobacterial VHPOs (e.g., AmVHPO R425S) have enabled switching between bromination and chlorination, with redesigned substrate-binding tunnels improving catalytic efficiency.14 Combined computational and experimental approaches, including molecular dynamics simulations, density functional theory (DFT), and AlphaFold modeling, have provided valuable insights for rational enzyme design.
Fig. 3 Vanadium- and heme-dependent haloperoxidases as versatile biocatalysts in natural product biosynthesis and selective halogenation. (A) The biosynthesis of napyradiomycin B1, highlighting VHPO-catalyzed transformations. Starting from 1,3,6,8-tetrahydroxynaphthalene (1), the biosynthesis of napyradiomycin B1 (9) proceeds through six enzyme-catalyzed steps, four of which are mediated by vanadium-dependent haloperoxidases (VHPOs). NapH1 catalyzes two key halofunctionalization reactions: an asymmetric arene chlorination (2 → 3) and a regio- and stereoselective alkene halocyclization (5 → 7 or 6 → 8). NapH4 facilitates a chloronium-induced diastereoselective cyclization of the geranyl side chain to yield the final product. In contrast, NapH3 catalyzes a vanadium-independent α-hydroxyketone rearrangement. The pathway integrates aromatic and terpene moieties derived from THN and geranyl diphosphate (GPP), respectively, showcasing the functional versatility of VHPO enzymes in meroterpenoid biosynthesis. Adapted from ref. 16. (B) Chloroperoxidase from Leptoxyphium fumago (LfCPO)-mediated in situ generation of hypochlorous acid (HOCl) for the electrophilic chlorination of thymol. Upon reaction with H2O2 and Cl−, CPO catalyzes the formation of HOCl, which selectively chlorinates the aromatic ring of thymol to yield mono- or dichlorinated products under mild aqueous conditions. Adapted from ref. 42.
Heme-dependent haloperoxidases catalyze similar HOX-generating reactions via a heme-iron center22,27 (Fig. 3B). Compared with VHPOs, they are less extensively studied, and most known examples were discovered more than two decades ago in fungi, algae, plants, mammals, and certain bacteria.28 Among them, chloroperoxidase (CPO) from Leptoxyphium fumago (formerly Caldariomyces fumago) remains the best-characterized representative. CPO exhibits mechanistic features of both peroxidases and cytochrome P450s, proceeding through compound I intermediates.27 Beyond halogenations, CPO catalyzes diverse oxidative reactions, including dehydrogenation, hydrogen peroxide disproportionation, and oxygen insertion,28 enabling applications such as oxidative halocyclization of allenes and chemoenzymatic cascades with palladium catalysts.29,30 Quantum chemical calculations and molecular dynamics simulations further indicate that substrate orientation relative to the heme plane governs enantio- and regioselectivity.31 Mechanistic analyses show that halide oxidation follows conserved Glu/His-mediated proton transfers,27 favoring iodination over bromination and chlorination due to redox potential differences, whereas fluorination is inaccessible under natural conditions.28
Despite their catalytic versatility, CPO and related enzymes are prone to peroxide-driven inactivation, mainly through heme destruction and oxidation of redox-sensitive residues.32,33 This fragility highlights the need for stabilization strategies, including protein engineering, directed evolution, and computational redesign, which have already begun to improve catalytic performance and oxidative resistance.34,35 Biomimetic catalysts, such as non-heme iron complexes and bismuth molybdate-based nanozymes, have also been developed to mimic CPO-like reactivity under mild conditions.36 Although natural heme-HPOs have not been shown to catalyze stereoselective fluorination, advances in non-heme metalloenzymes and photoenzymatic systems demonstrate that strategies such as substrate orientation control, second-sphere redesign, and distal-site mutations could, in principle, enable such reactivity.37–41
While haloperoxidases remain underused in industrial biocatalysis, ongoing discovery of new haloperoxidases from extremophilic fungi, red and brown algae, and diverse bacterial continues to expand the available repertoire. The unique advantages of VHPOs for selective C–X bond formation, combined with the mechanistic versatility of heme-dependent haloperoxidases, highlight their potential. Future efforts aimed at improving stability, broadening substrate range, and integrating computational design will be crucial for translating haloperoxidases into scalable applications across biocatalysis, green chemistry, and synthetic biology.
2.1.2 Flavin dependent halogenases (FDHs). Flavin-dependent halogenases (FDHs) are a well-characterized class of electrophilic halogenases that catalyze regioselective halogenation of electron-rich substrates, particularly aromatic rings, under mild conditions (Table 2 and Fig. 4). These enzymes use reduced flavin adenine dinucleotide (FADH2) and oxygen to generate a hypohalous acid (HOX)-like intermediate within a tightly controlled active site (Fig. 2A). HOX migrates through a conserved ∼10 Å tunnel and selectively halogenates the target molecule, while active-site residues ensure regioselectivity and suppress undesired reactions such as hydroxylation or HOX leakage.43 Recent genomic surveys of thousands of bacterial genomes have uncovered conserved FDH motifs (FAD-binding, halide-binding, substrate recognition) and revealed extensive misannotation in public databases.44 These findings have provided a framework for discovering and predicting new FDH activities. Structural and mechanistic studies show FDHs use FADH−-generated HOX delivered through a 10 Å tunnel, and targeted engineering (e.g., Thal-V82I) has reduced HOX escape and improved both thermostability and substrate scope.43
Table 2Overview of characterized flavin-dependent halogenases (FDHs), including their source organisms, substrate classes, halogenation positions, enzymatic variants (A: acting on free substrates; B: carrier protein-tethered), and key biochemical or engineering features
Fig. 4 The reactions catalyzed by representative flavin-dependent halogenases (FDHs). (A) FDHs catalyzing regioselective halogenation of tryptophan: C5-halogenation by PyrH (adapted from ref. 66 and 67) and AbeH (adapted from ref. 46); C6-halogenation by Thal (adapted from ref. 43) and SatH (adapted from ref. 70); and C7-halogenation by wild-type PrnA (adapted from ref. 62 and 63) and RebH (adapted from ref. 69). (B) Engineered RebH variant 10S (adapted from ref. 81), 8F (adapted from ref. 81), and Y445W (adapted from ref. 82) catalyzing at the C5, C6, C7 positions, respectively. (C) Bmp5 catalyzing halogenation of 4-hydroxybenzoic acid to yield 2,4-dibromophenol (adapted from ref. 52). (D) AoiQ-mediated gem-α,α-dichlorination of 1,3-diketone substrates at enolizable sp3 carbons (adapted from ref. 48). (E) JamD catalyzing terminal alkyne halogenation in lipopeptide scaffolds (adapted from ref. 57). Halogenation positions are indicated by color-coded solid circles.
FDHs are generally divided into two mechanistic variants: variant A, acts on free substrates, and variant B, requires substrates tethered to carrier proteins (ACPs). Among variant A enzymes, tryptophan halogenases (PrnA, RebH, Thal) are key examples, selectively chlorinating L-tryptophan at distinct positions to initiate the biosynthesis of natural products like pyrrolnitrin, rebeccamycin, and related alkaloids62,69,77 (Fig. 4). Other tryptophan halogenases (e.g., KtzR, SatH, Tar14, AfnX, AbeH, PyrH, and BorH) display distinct regioselectivities across different strains.46,58 In contrast, variant B FDHs drive multistep halogenation in complex polyketide and nonribosomal peptide biosynthetic pathways, as seen in PltA, Bmp2, and Mpy16.3,52,75 PrnC, although classified as variant A, uniquely chlorinates a pyrrolic intermediate, demonstrating FDH mechanistic diversity.65 Recent work has significantly broadened the substrate scope of FDHs. Enzymes like RadH can halogenate quinolines, benzothiophenes, and other non-tryptophan scaffolds, as revealed by structural studies at high resolution.78 Fungal FDHs such as Rdc2 and GsfI act on phenolic compounds, supporting biosynthesis of radicicol and griseofulvin, respectively.56,79
Functionally diverse FDHs have emerged from both natural evolution and protein engineering. Some (e.g., Bmp5 and PltM) accept a broader range of halides (including I−), and rare enzymes like VirX1 from cyanophages can catalyze iodination.4 Innovations such as FDR-XanH fusions and engineered photoenzymes (e.g., PyrH-W281F) have enhanced catalytic efficiency and enabled light-driven halogenation.67,80 Crystal structures of AetF in various states further clarify the structural basis for selectivity and reactivity.49 Continued advances in protein engineering have minimized HOX leakage, improved substrate scope, and enhanced overall enzyme performance. Examples include rational mutagenesis of tunnel residues, cofactor fusion, and photochemical regeneration systems. Current challenges include boosting turnover numbers, precisely predicting regioselectivity, and developing robust, scalable FDH platforms. Efforts in directed evolution, metagenomic mining, and computational design promise to further advance FDH applications in pharmaceutical and agrochemical synthesis.
2.2 Radical halogenation
Radical halogenases, mainly represented by non-heme Fe(II) and α-ketoglutarate (αKG)-dependent enzymes, catalyze the selective halogenation of unactivated aliphatic C–H bonds via a hydrogen atom transfer (HAT) mechanism (Fig. 2B). Unlike electrophilic or nucleophilic halogenases that act on activated centers, these enzymes generate carbon-centered radical through the oxidative decarboxylation of αKG, producing a high-valent Fe(IV)O intermediate that activates the substrate C–H bond.83–85 The resulting radical then reacts with halide (typically chloride or bromide) to form a new C–X bond, a process that directly competes with hydroxylation. The geometry of the active site and specific amino acid residues are crucial for steering the reaction toward halogenation over hydroxylation85,86 (Table 3). Early studies of this enzyme family include SyrB2, which catalyzes γ-chlorination of L-threonine bound to the carrier protein SyrB1 during syringomycin E biosynthesis in Pseudomonas syringae.87–90 Similar chemistries are observed in CytC3 from Streptomyces (acting on L-Aba or L-valine conjugated to CytC2)91 (Fig. 5A) and BarB1/BarB2, which trichlorinate L-leucine in the marine cyanobacterium Lyngbya majuscule during barbamide biosynthesis92 (Fig. 5B). In parallel, CurA and JamE, halogenase domains embedded within the biosynthetic machineries for curacin A and jamaicamide A, catalyze the chlorination of (S)-3-hydroxy-3-methylglutaryl-ACP (Fig. 5E). The resulting intermediates are subsequently dehydrated and cyclized by associated dehydratase and reductase domains, yielding cyclopropane or alkene structures within these complex natural products.83,93–95 Other notable examples include KthP and KtzD in kutzneride pathways (Fig. 5C and D) and CmaB in coronatine biosynthesis, where halogenation steps enable further cyclopropane or alkene formation within complex natural product scaffolds.83,96–101 Recent discoveries have revealed radical halogenases that do not require carriers. For example, WelO5, involved in welwitindolinone biosynthesis, catalyzes stereoselective chlorination of complex indole alkaloids and can also use bromide as a halogen source102,103 (Fig. 5F). AmbO5, a close homolog, demonstrates even broader substrate scope, efficiently halogenating multiple hapalindole derivatives at specific positions.104 These enzymes utilize solvent-exposed active sites and on C-terminal domains to recognize diverse substrates, as shown by domain-swapping experiments.83,104 Mechanistic studies have shown that protein structure is key to selectivity in radical halogenation. For instance, in BesD, QM/MM simulations indicate that equatorial Fe(III)–OH intermediates formed after HAT lower steric hindrance and favor halide rebound, stabilized by a conserved asparagine.85 In WelO5, Ser189 is crucial for orienting the Fe(IV)O intermediate to suppress undesired hydroxylation and promote halogenation selectivity.102
Table 3Representative radical halogenases involved in selective halogenation of unactivated aliphatic C–H bonds in natural product biosynthesis
Fig. 5 Representative reactions catalyzed by radical halogenases. (A) CytC3-mediated chlorination of L-Aba-S-CytC2 to yield mono- and dichlorinated L-Aba (adapted from ref. 91 and 109). (B) BarB1/BarB2-catalyzed trichlorination of L-Leu-S-BarA (adapted from ref. 92). (C) KtzP catalyzed chlorination of a piperazyl moiety tethered to a carrier protein during kutzneride 2 biosynthesis (adapted from ref. 98). (D) KtzD mediated chlorination of KtzC-tethered L-Ile (adapted from ref. 99 and 100). (E) CurA or JamE-catalyzed chlorination of (S)-3-hydroxy-3-methylglutaryl-ACP (adapted from ref. 83). (F) AmbO5/WelO5-catalyzed late-stage chlorination of the indole alkaloid 12-epi-fischerindole U to yield 12-epi-fischerindole G (adapted from ref. 102 and 110). Halogenation sites are indicated in magenta, and carrier protein domains are shown in boxes.
The synthetic potential of radical halogenases has inspired active protein engineering. Directed evolution, structure-guided mutagenesis, and machine learning-aided design have generated variants with expanded or altered halogenation profiles, including WelO5* mutants with improved activity on bulky substrates84,104,105 (Fig. 5B). Beyond iron enzymes, copper-dependent radical halogenases such as ApnU, capable of iterative halogenation and thiocyanation, are expanding the catalytic landscape of this family.111 Despite rapid advances, challenges remain in the discovery of new enzymes, fine control of reactivity, and expansion of substrate flexibility. Future priorities include large-scale genome mining for novel candidates,83 detailed mechanistic studies to refine halogenation selectivity,85 and the development of high-throughput engineering platforms.84 Together these efforts are expected to further expand the use of radical halogenases for selective C–H functionalization in the synthesis of complex pharmaceuticals and other valuable compounds.84,105
2.3 Nucleophilic halogenation
Compared to other types of halogenases, nucleophilic halogenases represent a rare and mechanistically distinct category, uniquely catalyzing halogenation via nucleophilic attack of halide ions (X−) on SAM (Fig. 2C). The electrophilic sulfonium center of SAM allows substitution at the 5′-carbon, enabling halide transfer reactions under mild conditions.2,112 All known nucleophilic halogenases are SAM-dependent. The best-characterized example is the fluorinase FlA from Streptomyces cattleya, which catalyzes the formation of a C–F bond, a chemically challenging transformation, during the biosynthesis of fluoroacetate and 4-fluoro-L-threonine. FlA converts SAM and fluoride ion into 5′-fluoro-5′-deoxyadenosine (5′-FDA) and L-methionine.113,114 A homologous enzyme, SalL, also from S. cattleya, produces 5′-chloro-5′-deoxyadenosine (5′-ClDA) from SAM and chloride, and can also accept bromide and iodide, but not fluoride115 (Fig. 6), indicating both the specificity and limitations of this enzyme family. In addition, SAM-dependent halide methyltransferases such as AtHOL1 (from Arabidopsis thaliana) and Pthtmt (from Phaeodactylum tricornutum) generate volatile methyl halides (e.g., CH3Cl, CH3Br, CH3I) using SAM as a methyl donor.116,117 Despite their unique mechanistic and synthetic promise, only 11 SAM-dependent fluorinases and 3 chlorinases have been identified to date, suggesting that this enzyme class remains largely unexplored.118 Recent protein engineering has shown that SAM-dependent enzymes can be repurposed for halogenation: for example, a study on hydroxide adenosyltransferase (HATase) from Thermotoga maritima demonstrated that, although the native enzyme uses water as a nucleophile, it can be rationally redesigned to accept halide ions.118 Through specific mutations (e.g., W8L and V71T), HATase variants capable of using Cl−, Br−, and I− as substrates were generated. Notably, the M4 variant retained thermostability and outperformed SalL in iodination at 80 °C. QM/MM simulations confirmed that these mutations optimized halide binding geometry, improving nucleophilic attack on SAM.
Fig. 6 Representative reaction catalyzed by nucleophilic halogenases. Fluorinase and SalL identified from Streptomyces cattleya and Salinispora tropica, respectively, catalyze the formation of a C–F or C–Cl bond via nucleophilic attack of a halide ion (fluoride or chloride) on the 5′-carbon of S-adenosyl-L-methionine (SAM), with concomitant displacement of L-methionine. These enzymes are involved in the biosynthesis of fluoroacetate by S. cattleya and the chlorinated unit of salinosporamide A by S. tropica. Adapted from ref. 113, 115 and 119.
2.4 Emerging and noncanonical halogenases
In addition to classical flavin-dependent, radical, and haloperoxidase-type halogenases, recent research has identified a growing number of noncanonical halogenating enzymes with unique structures and mechanisms. A notable example is ApnU, a copper-dependent halogenase discovered in actinobacteria. ApnU catalyzes iterative halogenation and thiocyanation during the biosynthesis of secondary metabolites containing alkyl thiocyanates and polyhalogenated motifs111 (Fig. 7). Unlike haloperoxidases or radical halogenases, ApnU does not require hydrogen peroxide, does not generate hypohalous acids (HOX), and does not rely on a high-valent iron–oxo intermediates. Instead, it uses a mononuclear copper center, though the detailed mechanism remains to be fully elucidated. ApnU is remarkable for its substrate flexibility, catalyzing C–H halogenation at multiple aliphatic positions and enabling enzymatic installation of thiocyanate (–SCN) groups, a transformation rarely seen in halogen biochemistry. Bioinformatic analyses indicate that ApnU homologs are widespread across actinobacteria and other soil-dwelling microbes, hinting at a broader, yet untapped, diversity of non-heme, non-iron halogenating enzymes in nature. From a synthetic perspective, ApnU and its relatives could expand biocatalytic strategies for C–H activation under mild, redox-neutral conditions.
Fig. 7 Halogenation of Atpenin B catalyzed by the copper-dependent halogenase ApnU. Adapted from ref. 111.
3. HOCs degradation
The extensive use of HOCs in agriculture and industry has resulted in their global distribution across air, soils, water, and even human tissues. Such pervasive presence poses significant environmental and health risks. For example, some halogenated volatile organic compounds (VOCs) contribute to global warming and ozone depletion,120 while others are associated with diseases ranging from oral infections to reproductive toxicity and organ damage.121 Fortunately, many bacteria can degrade HOCs by utilizing them as sole carbon and energy sources, playing a crucial role in natural attenuation of these contaminants. These microbes underpin bioremediation strategies that are safe, cost-effective, and environmentally friendly. Dehalogenases produced by HOC-degrading microorganisms mediate diverse dehalogenation reactions, including reductive, oxidative, hydrolytic, and dehydrohalogenation pathways (Fig. 8), enabling the breakdown and detoxification of a broad spectrum of halogenated pollutants.121
Fig. 8 Representative dehalogenation mechanisms. (A) Reductive dehalogenation: removal of a halogen atom (X) via electron transfer, typically catalyzed by reductive dehalogenases under anaerobic conditions, adapted from ref. 122. (B) Oxidative dehalogenation: incorporation of oxygen into the substrate, catalyzed by oxygenases, leading to hydroxylated products and halide release, adapted from ref. 122. (C) Hydrolytic dehalogenation: replacement of a halogen by a hydroxyl group through nucleophilic attack by water, often catalyzed by haloalkane or haloacid dehalogenases, adapted from ref. 122. (D) Dehydrohalogenation: base-catalyzed elimination of HX, resulting in the formation of a double bond. X represents a halogen atom.
3.1 Reductive dehalogenation
Organohalide-respiring bacteria (OHRB) are anaerobes that conserve energy by coupling the reductive dehalogenation of organohalides to grow, using these compounds as terminal electron acceptors.123,124 This metabolism underpins cost-effective and environmentally friendly strategies for the removal of highly halogenated pollutants, including polybrominated diphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs), chloroethenes, chlorophenols, and chlorobenzenes, especially in anoxic environments.125 Since the discovery of Desulfomonile tiedjei DCB-1 in 1984,126 OHRB have been identified across diverse Gram-positive and Gram-negative phyla. Although many reductive dehalogenases (RDases) are now known, their biochemical characterization remains challenging due to the slow growth of native OHRB, difficulties with heterologous expression, and poor solubility of recombinant forms. Tetrachloroethene (PCE) and trichloroethene (TCE) are among the most abundant anthropogenic organohalides, historically used as dry cleaning solvents and metal degreasing agents.124 Early studies focused on Sulfurospirillum multivorans, which dichlorinates PCE to cis-dichloroethene (cis-DCE).123 More recently, research has expanded our understanding of complete dechlorination pathways. For example, Dehalococcoides mccartyi strains FL2 and 195 utilize can convert vinyl chloride (VC) to ethene in the presence of vitamin B12, with this activity linked to expression of the TceA RDase.127 The recently isolated strain NIT01 encodes at least 19 rdhA genes, expressing several novel RDases and achieving quantitative TCE-to-ethene conversion even at high substrate loads128 (Fig. 9 and Table 4). Other organisms, such as Candidatus Dehalogenimonas etheniformans strain GP, can also fully dechlorinate VC.129 Innovative tools are improving our ability to track these processes. Metaproteomic RDase quantification and the Dehalochip microarray130 have enhanced in situ detection of dechlorination activity. Meanwhile, density functional theory (DFT) calculations suggest a proton-coupled two-electron transfer (PC-TET) mechanism mediated by cob(I)alamin and a B12-coordinated tyrosine, which helps predict aromatic-halide reactivity.131 Bioelectrochemical cultivation of D. mccartyi strain CBDB1 using cobalt chelates as electron shuttles offers a halogen-free route to sustain organohalide respiration.132 In Firmicutes, multi-omics analysis of the pceABCT operon in Dehalobacter restrictus and Desulfitobacterium hafniense indicates that a functional PceA2B complex forms with little or no PceC, challenging previous models of RDase membrane assembly.133 Comparative genomics of a newly enriched Dehalobacter consortium from North China Plain sediments has revealed versatile dechlorination of both aliphatic and aromatic halides, supported by syntrophic partners supplying corrinoids and hydrogen.134
Fig. 9 Genes and enzymes involved in the reductive dechlorination pathways of chlorinated ethenes. Pathways depict the sequential transformation of tetrachloroethene (PCE) through trichloroethene (TCE), dichloroethene (DCE, including cis-, trans-, and 1,1-DCE isomers), and vinyl chloride (VC) to ethene. Key enzymes catalyzing each step are indicated: PceA, TceA, VcrA, BvcA, and DcrA. Abbreviations: PCE, tetrachloroethene; TCE, trichloroethene; DCE, dichloroethene; VC, vinyl chloride.
Table 4Representative organohalide-respiring bacteria and biochemically characterized native reductive dehalogenases
Polybrominated diphenyl ethers (PBDEs), widely used as flame retardants since the 1960s, have become pervasive environmental pollutants, with bioaccumulation observed across many ecosystems, including human tissues.142,159 Although regulatory bans implemented in the early 2000s have reduced new PBDE inputs, their environmental persistence remains a major remediation challenge. Several bacterial genera, including Dehalococcoides, Dehalogenimonas, Dehalobacter, Desulfitobacterium, Sulfurospirillum, Acetobacterium and Geobacter, have demonstrated debromination potential.160,161 However, most isolates exhibit limited activity, and can only partially debrominate highly brominated congeners, resulting in intermediates that are more bioavailable and, in some cases, more toxic.159,162–165 A major breakthrough was the identification of Dehalococcoides mccartyi strain GY50, which is capable of fully debrominate tetra- and penta-BDEs to diphenyl ether within 12 days, using hydrogen as the electron donor.142 The genes pbrA1, pbrA2, and pbrA3 encode the associated RDases, which have been proposed as biomarkers for in situ PBDE debromination.142 Further studies have uncovered strains such as CG1, CG4, and 11a5, which harbor novel RDases (PbrA4, TceA, 11a5_e001) and can also achieve complete PBDE debromination.147 These discoveries demonstrate the widespread PBDE-degrading potential of Dehalococcoides populations. Some strains, like D. mccartyi MB and TZ50, display broad substrate specificity, catalyzing the debromination of penta-BDEs, the dichlorination of PCBs and PCE, and sequential debromination/dechlorination through multifunctional RDases.144,166
Polychlorinated biphenyls (PCBs), once widely used as industrial dielectric and coolant fluids, persist as organic pollutants (POPs) of global concern due to their high chemical stability, toxicity, and bioaccumulation.166–168 Despite regulatory bans, PCBs continue to contaminate ecosystems, including marine food webs where they impair apex predators such as Orcinus orca.125,168,169 Reductive dichlorination by OHRB, particularly Dehalococcoides mccartyi, is now a key bioremediation approach. Early studies showed that Dehalococcoides mccartyi 195 could reductively dechlorinate both chlorinated ethenes and certain PCB congeners.170–173 Subsequently work with other strains, including CBDB1, CG1–CG5, JNA, and MB, has extended the substrate range to higher chlorinated PCBs via strain-specific RDases such as MbrA.125,166,174–178 Microcosm experiments have shown that native Dehalococcoides populations can remove up to 70% of selected tetra- and penta-chlorinated PCBs under anaerobic incubations, even without added electron donors.179 The identification and enrichment of RDase genes such as rd14, pcbA5, and rd4/rd8 homologs highlight their use as biomarkers for in situ PCB dechlorination monitoring.179 Additional studies revealed that Dehalococcoides- and Dehalogenimonas-dominated consortia can carry out para- and meta-dechlorination in PCB180,180 mediated by distinct RDase clusters. The development of high-throughput in vitro dechlorination platforms such as HINVARD has enabled the systematic screening of PCB congeners and microbial consortia, uncovering how both congener structure and bacterial strain determine dechlorination specificity and efficiency.181
Recent studies have greatly broadened the known range of OHRB, RDases and degradable substrates, extending far beyond classical chloroethene dechlorination. Diverse microorganisms, such as Desulfoluna spongiiphila,182Pseudomonas sp. CP-1,183Dehalogenimonas,148,184,185 and deep-sea Peptococcaceae-affiliated strains,186 have been implicated in reductive dehalogenation processes. These discoveries reveal that the phylogenetic diversity of OHRB is much greater than previously recognized. Beyond expanding microbial diversity, new work continues to identify additional organohalide substrates. Polyfluorinated compounds,187 polybrominated flame retardants (e.g., TBBPA188), chlorinated aromatic fungicides (e.g., chlorothalonil derivatives184), and trihalopropanes,185 are now recognized as targets for microbial dehalogenation. In parallel, researchers are uncovering the importance of non-canonical habitats,189 auxiliary physicochemical processes,190–193 and stimulatory amendments190,194 in supporting or accelerating dehalogenation. For example, landfill leachates195 harbor previously uncharacterized Dehalococcoidia and facultative OHRB, with their dechlorination activities shaped by complex syntrophic interactions among sulfate reducers, fermenters, and methanogens. The dominance of Methanosarcina versus OHRB in these systems often follows acetate-competition thresholds and reflects energy optimization principles. In iron-rich river sediments, synergism between Fe(III) reduction and 2,4,6-trichlorophenol dechlorination is observed, with nano-hematite boosting electron-transfer gene expression and more than doubling dechlorination rates.190 Similarly, waste-activated sludge amendments can provide redox mediators, electron donors, and vitamins, substantially accelerating PCE and PCB dechlorination across different soils.194
In addition to biological processes, several abiotic or hybrid remediation technologies have gained traction. UV/sulfite advanced-reduction systems generate hydrated electrons that efficiently dechlorinate recalcitrant aromatic AOX (e.g., 2,5-dichloronitrobenzene) in saline wastewaters.191 Pd-nanoparticle membrane reactors can achieve >99% conversion of herbicides such as 2,4-dichlorophenoxyacetic acid (2,4-D) to less-toxic products under continuous-flow conditions.192 Environmental factors also play a role: for instance, microplastics tend to enhance Dehalococcoides-mediated dechlorination, while 80 nm nanoplastics can inhibit it. Community resilience is often supported by non-dehalogenating taxa.193 Heavy metals like Cu2+ may suppress RDase expression and metabolism in some strains (e.g., Pseudomonas CP-1 (ref. 196)), yet facultative pathways can still support efficient dechlorination under fluctuating redox conditions.183 Alongside ecological and technological progress, the systematic discovery of new RDases continues. Recent B12-dependent screens have identified enzymes capable of both PCE dichlorination and regio-selectively deiodination of 2,4,6-triiodophenol. A deiodinase from Clostridioides difficile able to reduce L-halotyrosines hints at host-associated reservoirs of halogen-transforming activity.197 Isotope probing studies help distinguish between concerted dihalo-elimination and SN2-type mechanisms,189 deepening our understanding of non-canonical dehalogenation. Together, these advances provide new opportunities, from stimulatory amendments and redox-active materials to high-specificity enzymes, for tackling chemically recalcitrant and mixed-pollutant environments.
3.2 Oxidative dehalogenase
Oxidative dehalogenases catalyze the cleavage of carbon-halogen bonds via oxygen-dependent reactions and are emerging as key players in the detoxification of persistent pollutants, including polychlorinated biphenyls (PCBs), halophenols, and brominated flame retardants.198–201 These enzymes, mainly mono- or dioxygenases, typically function under aerobic conditions and display broad substrate ranges spanning haloaromatic and haloaliphatic compounds (Table 5).
Table 5Representative oxidative dehalogenase involved in halogenated compound degradation
A major challenge in this field has been the limited cultivability of efficient degraders, many of which enter a viable but non-culturable (VBNC) state under stress. Recent studies have demonstrated that resuscitating VBNC bacteria can unlock new oxidative dehalogenation activities. For example, strains like Streptococcus SPC0 and Bacillus LS1 have been revived and shown to degrade various PCB congeners, using bph-encoded biphenyl dioxygenases and funnelling intermediates through protocatechuate and β-ketoadipate pathways198,213 (Fig. 10). Engineered andartificial oxidative dehalogenases have also advanced rapidly. Miniaturized heme-based enzyme such as Fe(III)-MC6*a outperform natural horseradish peroxidase in H2O2-mediated oxidation of 2,4,6-trichlorophenol (TCP), relying on high-valent oxoferryl intermediates similar to peroxidase compound.199 In nature, monooxygenases like TcpA from Cupriavidus nantongensis X1T, and two-component FAD-dependent monooxygenases such as HnpAB from Cupriavidus sp. CNP-8, mediate oxidative dehalogenation of di- and tri-bromophenols.200,214 Structural analysis revealed that TcpA's substrate specificity is shaped by its binding pocket,214 while HnpAB performs sequential oxidative and hydrolytic debromination, generating ring-cleavage intermediates that are further degraded by HnpC.200 Such findings illustrate the functional diversity and the molecular specialization of oxidative dehalogenases, especially in species like Cupriavidus that encode unique hnpABC gene clusters.200 In addition, biomimetic non-heme iron complexes featuring iron(IV)–oxo species have been shown to oxidatively dehalogenate mono- to tri-halophenols.201 These model systems rely on hydrogen atom abstraction and second-sphere substrate interactions, offering valuable insights for designing synthetic catalysts for environmental use. Oxidative dehalogenases also play an essentialrole in integrated bioremediation strategies. For example, sequential bioelectrochemical systems (BESs)215 combine reductive dechlorination of highly chlorinated solvents (e.g., PCE to VC) with oxidative dehalogenation of less chlorinated byproducts (e.g., VC), the latter step mediated by aerobic mono- and dioxygenases.216 Biomarkers such as etnC and etnE, encoding alkene monooxygenase and epoxyalkane coenzyme M transferase respectively, have been identified as key contributors in these pathways.217 Recent studies on CYP199A4, a cytochrome P450 monooxygenase, reveal fine-tuned substrate specificity for halogenated benzoic acids.218 While para-halobenzoates are only weakly oxidized, halomethyl-substituted benzoates undergo efficient benzylic hydroxylation, demonstrating that the position of the halogen atom can significantly influence enzyme reactivity and substrate binding. Altogether, oxidative dehalogenases are becoming increasingly important for tackling persistent halogenated pollutants.
Fig. 10 Aerobic degradation pathways of biphenyl and polychlorinated biphenyls (PCBs). (A) Reaction catalyzed by the biphenyl dioxygenase (bph) gene cluster. Adapted from ref. 219. (B) Proposed aerobic degradation pathway for PCBs 18, 52 and 77 by the strain Streptococcus sp. SPC0, including subsequent catabolic steps leading to TCA cycle intermediates. Adapted from ref. 198. Abbreviations: BphA/B/C/D/E/F, biphenyl/PCB catabolic enzymes; LigA/C, ring-cleavage dioxygenases; CbaA/C, chlorobenzoate pathway enzymes; TCA, tricarboxylic acid cycle.
3.3 Hydrolytic dehalogenases
Hydrolytic dehalogenation involves the substitution of a halogen atom with a hydroxyl group derived from water.220 The enzymes that catalyze this process, hydrolytic dehalogenases, are typically cytosolic proteins that require no cofactors, use water as the only co-substrate, and are generally tolerant of water-miscible organic solvents. These properties make them excellent candidates for biodegradation catalysts in the bioremediation of halogenated compounds.220,221 Hydrolytic dehalogenases are usually classified into groups such as haloacid dehalogenases, haloalkane dehalogenases, and fluoroacetate dehalogenases.220 These enzymes primarily act on aliphatic halogenated organic compounds, catalyzing the removal of halogens through a straightforward hydrolytic mechanism.
3.3.1 Haloalkane dehalogenases. Haloalkane dehalogenases (HLDs), together with 2-haloacid dehalogenases, form a well-characterized group of hydrolytic dehalogenases within the α/β-hydrolase fold superfamily. Structurally, these enzymes share a conserved core of seven parallel and one antiparallel β-sheet flanked by α-helices.222 HLDs catalyze the hydrolytic cleavage of carbon-halogen bonds in HOCs, producing alcohols, halide ions, and protons.223 The catalytic mechanism involves SN2 nucleophilic substitution and transient ester intermediate, which is then hydrolyzed to regenerate the active site.222
Over the past five years, HLDs have emerged as a data-driven platform for green chemistry and environmental biotechnology (Table 6). Three key HLDs, DhlA, DhaA, and LinB, have been instrumental in understanding the substrate specificity, regulation, and catalytic breadth of the family (Fig. 11). DhlA, discovered in Xanthobacter autotrophicus GJ10, initiates 1,2-dichloroethane (1,2-DCA) degradation and acts on a range of chlorinated, brominated, and iodinated substrates.224,225 DhaA, first identified in Rhodococcus rhodochrous NCIMB 13064, starts the breakdown of 1-haloalkanes, with its gene widespread among haloalkane-degrading strains.226,227 LinB, known for degradation γ-hexachlorocyclohexane (γ-HCH), displays broad substrate specificity toward monochloroalkanes, dichloroalkanes, bromoalkanes, and select alcohols.228–230
Table 6Major haloalkane dehalogenases
Representative enzymes
Microbial source
Typical substrates
References
DadB
Alcanivorax dieselolei strain B-5
1,2-Dichloroethane, 1,2-dichloropropane and 1,2,3-trichloropropane
Fig. 11 Representative haloalkane dehalogenases involved dehalogenation. (A) Degradation of 1,2-dichloroethane by Xanthobacter autotrophicus GJ110. Adapted from ref. 242. (B) Proposed γ-hexachlorocyclohexane degradation pathway in Sphingomonas paucimobilis UT26. Adapted from ref. 243 and 244. (C) Proposed degradation pathway of TCP for Agrobacterium radiobacter AD1. Adapted from ref. 245.
Advances in genome mining and high-throughput screening, such as EnzymeMiner,246 have doubled the number of validated HLDs. Machine learning approaches, including variational-autoencoder design, have produced multi-site variants with up to 3.5-fold increased activity and improved stability.247 Structural studies now span diverse architectures, from Asp–His–Asp-triad (S)-selective dimer DmmarA248 and psychrophilic tetramer DpaA249 to a 20-mer archaeal ring, DhmeA.250 Kinetic isotope effect (KIE) and MD studies reveal that minor substrate modifications can invert the rate-limiting step, challenging the idea of a universal catalytic model.251 Recent studies have also expanded our understanding of HLDs in complex environmental and engineered systems. For example, bacterial consortia from mangrove sediments dominated by Alcanivorax can transform up to 97.7% of persistent organic pollutants (such as HBCDs), with metagenomic and transcriptomic data pinpointing two inducible HLDs, DadAH and DadBH, as key players.252,253 In addition, Microbacterium J1-1 and a range of wastewater microbial genomes have been found to encode more than 100 distinct HLDs,254 illustrating the genetic diversity and metabolic potential for hydrolytic dehalogenation in various environments. These dehalogenation steps often integrate with downstream oxidative and metabolic pathways, underscoring the metabolic cooperation typical of natural communities. Beyond marine habitats, HLDs genes are found in oligotrophic subsurface environments such as aquifers and iron mines. For instance, Marinobacter subterrain JG233 from the Soudan Underground Iron Mine uses chloroacetate hydrolysis as a carbon source, supported by isotope labelling and Raman spectroscopy evidence.255 Notably Pseudomonas sp. 273 demonstrates the functional integration of oxidative and hydrolytic pathways, coupling AlkB monooxygenases with (S)-2-haloacid dehalogenase for the mineralization of terminally fluorinated alkanes. This process releases inorganic fluoride and fluorinated fatty acids, with transcriptomic data revealing coordinated upregulation of relevant genes.256 Such findings highlight the key role of HLDs in supporting microbial survival and adaptation under nutrient-limited or contaminated conditions. Mechanistic insights from computational studies, combining KIEs, halogen binding isotope effects (BIEs), and free energy simulations, demonstrate that even subtle changes in substrate structure can alter the catalytic rate-limiting step in enzymes like LinB and DhaA,251 indicating the mechanistic complexity across this enzyme family.
In natural ecosystems, HLDs also contribute to the metabolism of chlorinated natural organic matter (Cl-NOM), facilitating contaminant breakdown and influencing microbial community structures.257 Engineering innovations mirror this functional breadth. Multi-point mutations have stabilized DhaA variants;258 ionic-liquid-soaked crystals have clarified DhaA80 rigidity;259 LinB displayed on Bacillus subtilis spores can detoxify sulfur-mustard simulants;260 and Halo-Tag fusions have enabled efficient receptor chromatography without prior purification.261 These advances, building on foundational studies of DhlA, DhaA and LinB, reveal HLDs as structurally diverse and mechanistically adaptable biocatalysts. Their expanding functional repertoire positions them as valuable tools for next-generation applications in synthetic biology, bioremediation, and analytical chemistry.
3.3.2 Haloacid dehalogenases. Haloacid dehalogenases (HADs) are a family of hydrolase enzymes that catalyze the hydrolytic cleavage of carbon-halogen bonds in halogenated aliphatic acids, especially 2-haloalkanoic acids, yielding corresponding 2-hydroxy acids.262,263 This transformation is central to microbial degradation of many xenobiotic compounds. Based on substrate stereospecificity and product configuration, 2-haloacid dehalogenases are classified into four main types: D-2-haloacid dehalogenases (D-DEX), L-2-haloacid dehalogenases (L-DEX), configuration-inverting DL-2-haloacid dehalogenases (DL-DEXi), and configuration-retaining DL-2-haloacid dehalogenases (DL-DEXr)264 (Fig. 12). Phylogenetically, D-DEX and DL-DEXs (group I) are distinct from L-DEXs (group II) due to sequence divergence.265L-DEXs (EC 3.9.1.2) are the most extensively studied HADs. These enzymes are widely distributed in nature and specifically catalyze the dehalogenation of L-2-haloalkanoic acids to produce D-2-hydroxyalkanoic acids. Structurally, L-DEXs adopt an α/β-type fold with a Rossmann-like core and a distinct subdomain, where the active site lies between the two.266 Model enzymes such as L-DEX YL from Pseudomonas sp. YL, DhlB from Xanthobacter autotrophicus GJ10, and DehIVa from Burkholderia cepacian MBA4 have revealed a two-step catalytic mechanism: nucleophilic attack by a conserved aspartate generates an ester intermediate and releases a halide ion, followed by hydrolysis of the intermediate by an activated water molecule.267 Most L-DEXs act efficiently on chlorinated, brominated, and iodinated substrates but show little defluorination capacity. Only a handful (such as Bpro0530, Bpro4516, RHA1_ro00230, and Adeh3811) can defluorinate haloacids,268 a property associated with a more compact active sites, as shown by crystallographic studies.267 Substrate specificity is also variable:266 for example, L-DEX YL prefers L-2-chloropropionic acid, while the L-DEX from Bacillus strain I37C prefers chloroacetic acid.269D-DEXs catalyze the conversion of D-2-haloalkanoic acids to L-2-hydroxyalkanoic acids and are comparatively rare, with a few examples identified in Rhizobium sp. RC1, Agrobacterium sp. NHG3, Pseudomonas putida AJ1, and Pseudomonas sp. ZJU26. These enzymes tend to act on short-chain (C2–C4) chlorinated and brominated acids, and their all-α homotetrameric structures are distinct from the α/β fold of L-DEXs.265DL-DEXs act on both enantiomers of 2-haloalkanoic acids. DL-DEXi enzymes invert the substrate's configuration, while DL-DEXr enzymes retain it. Well-characterized DL-DEXi enzymes, such as DehI, DehE, DL-DEX 113, and DhIIV, prefer L-isomers and use a single-displacement mechanism. The only reported DL-DEXr enzyme comes from Pseudomonas putida PP3 and is proposed to act via a double inversion, though experimental validation is still needed. Genomic analyses reveal a broad distribution of HADs in various bacteria. For example, Bacillus megaterium strains BHS1 and WSH-002 encode multiple HAD genes and associated regulators (dehR) and transporters (dehP), suggesting that horizontal gene transfer plays a role in HAD diversification.270 Novel HADs have also been identified in Staphylococcus,271Bacillus thuringiensis,272 and halotolerant strains from extreme environments,273 demonstrating adaptability to diverse ecological niches.
Fig. 12 Reaction mechanisms of haloacid dehalogenases. (A) L-DEX: catalysis is initiated by nucleophilic attack from an acidic residue in the active site to form a covalent ester intermediate. (B) DL-DEX: an activated water molecule directly attacks the C2 carbon of the substrate, bypassing the formation of an ester intermediate. Adapted from ref. 265.
HADs are important for microbial bioremediation. For instance, Paracoccus denitrificans detoxifies monoiodoacetic acid (MIAA), a disinfection byproduct, via hydrolytic dehalogenation to support denitrification under oxidative stress.274 HADs also appear in plants metabolism, rice encodes 37 HAD genes, with several induced by the herbicide oxadiazon, highlighting their potential in phytoremediation.275 Crystallographic and molecular modeling studies provide insights for rational enzyme design.267,276 Molecular dynamics and substrate docking have revealed key residues and structural features that determine substrate preference and catalytic efficiency (e.g., Tyr12, Lys46, Asp182 in DehHsAAD6 from Halomonas smyrnensis).276 The compactness of the active site is critical for defluorination activity, while regulatory operons (such as dehR/dehP) may be harnessed for improved gene expression and substrate uptake.270 Haloacid dehalogenases thus represent a structurally and mechanistically diverse enzyme family with wide ecological significance. Advances in structural biology, genome mining, AI-assisted protein engineering, and synthetic biology continue to expand their potential in bioremediation, green chemistry, and agricultural biotechnology.
3.3.3 Fluoroacetate dehalogenases. Fluoroacetate dehalogenases (FAcDs) are specialized hydrolases that catalyze the cleavage of the carbon–fluorine (C–F) bond in fluoroacetate, one of the most chemically stable bonds. First identified in the 1960s for their ability to hydrolyze fluoroacetate to glycolate, FAcDs have become model systems for studying enzymatic defluorination. With growing environmental and health concerns over per- and polyfluorinated substances (PFAS), these enzymes are now seen as promising tools for bioremediation and green chemistry. Structurally, FAcD adopts an α/β-hydrolase fold with an α/β/α core and a cap domain.277 Catalysis proceeds via a classical two-step mechanism involving a conserved catalytic triad (Asp110–His280–Asp134); substrate binding is stabilized by Arg111 and Arg114, while the leaving group is stabilized by His155, Trp156, and Tyr219.277 Microsecond-scale molecular dynamics simulations and ultrahigh-resolution crystallography have revealed “half-of-the-site reactivity”, only one subunit of the FAcD homodimer is active at a time. Allosteric control across the dimer interface is mediated by a water network, with conformational changes triggered by substrate binding in the non-catalytic subunit.278,279 Although FAcDs are optimized for fluoroacetate, several homologs exhibit broader substrate tolerance.280 Enzymes such as RPA1163, DAR3835, and NOS0089 can defluorinate defluorination and trifluoroacetate to glyoxylate via sequential C–F cleavage,280 and can also act on bulkier α-fluorinated acids and aryl-substituted fluorocarboxylates. Comparative kinetic and computational studies show that while defluorination is generally more favorable than dechlorination or debromination, the latter can be enhanced via active site engineering.277,281,282 Mechanistic insights from crystallography and MD simulations highlight dynamic allosteric regulation and catalytic asymmetry within these enzymes.279 A wide variety of bacteria carry FAcD-like enzymes with defluorinating activity. Genera such as Pseudomonas mosselii, Delftia acidovorans, Rhodococcus sp., Caballeronia sp., and Acidimicrobium sp. are known to degrade PFAS or fluoroacetate derivatives.283–287 Genome analyses have identified a diverse set of dehalogenases and accessory genes, including haloacid dehalogenases (e.g., dehH1), fluoroacetate dehalogenases (e.g., DeHa4), fluoride transporters (crcB), and novel enzymes from the MhPC superfamilies.283,286,288 In some anaerobic bacteria such as Cloacibacillus porcorum and Pyramidobacter piscolens, unique operons linked to glycine reductase complexes support fluoroacetate metabolism in environments like the rumen microbiota.289,290 Recent studies also suggest that non-cytochrome P450 enzymes in human liver microsomes may contribute to xenobiotic fluorine removal.291
FAcDs and related enzymes are now being explored as biocatalysts for the remediation of persistent fluorinated pollutants. For example, mixed consortia of Pseudomonas and Acidimicrobium can degrade long-chain perfluorocarboxylic acids (e.g., PFOA) in soil and water, releasing fluoride and shortening perfluorinated chains.284,287,288 In some cases, microbial electrolysis cells have been used to support PFAS degradation by autotrophic species such as Acidimicrobium sp. A6, overcoming Fe(III)-dependency.287 Heterologous expression in E. coli expressing dehalogenases from D. acidovorans has yielded biocatalysts active against mono- and difluoroacetate. The continued discovery and engineering of new enzymes with expanded activity toward diverse PFAS structures, including unsaturated or sulfonated forms, promises to broaden the available biodegradation toolkit.
Other haloaromatic dehalogenases, such as 4-chlorobenzoyl-CoA dehalogenases and tetrachlorohydroquinone dehalogenases, are also important for haloaromatic degradation. 4-Chlorobenzoate (4CBA) is a key intermediate in the breakdown of many HOCs, including PCBs.292 Several 4CBA-degrading bacteria have been isolated, including Pseudomonas sp. CBS3, Comamonas sp. DJ-12, Arthrobacter spp.292,293 The hydrolytic dehalogenation of 4CBA is CoA-dependent,with the relevant genes located in the fcd gene cluster. This cluster encodes the dehalogenases (fcbA, fcbB, fcbC) and transporters (fcdT1T2T3) for 4CBA uptake, and transcription is regulated by a TetR-type repressor responsive to 4-chlorobenzoyl-CoA.293,294
3.3.4 Dehydrohalogenases. Although halogenated organic compounds are degraded through hydrolytic or reductive pathways, enzymes capable of dehydrohalogenation reactions are comparatively rare. These enzymes eliminate hydrogen halide (HX) from halogenated substrates, typically generating alkenes or epoxides. The best-characterized members of this group are halohydrin dehalogenases (HHDHs), which convert vicinal halohydrins to epoxides. Another important example is LinA, a dehydrochlorinase that participates in γ-hexachlorocyclohexane degradation by catalyzing successive eliminations of HCl to form unsaturated chlorocyclohexenes.295 HHDHs were first described in 1968, when Castro and Bartnicki discovered their ability to convert 2,3-dibromo-1-propanol to epibromohydrin.296 Belonging to the short-chain dehydrogenase/reductase (SDR) superfamily.297, HHDHs catalyze both reversible dehalogenation of halohydrins to epoxides and irreversible nucleophile-mediated ring-opening of epoxides.298 In the latter, these enzymes accommodate a wide variety of small anionic nucleophiles (N3−, CN−, NCO−, SCN−, NO2−, HCOO−), producing structurally diverse β-substituted alcohols with high chemo-and stereoselectivity299 (Fig. 13). With the growth of sequence databases, over 70 HHDHs have been identified and divided phylogenetically into subtypes A–G, with D-type being the largest group.300,301
Fig. 13 HHDH-catalyzed dehalogenation of vicinal halohydrins and nucleophilic ring-opening of epoxides with selected anionic nucleophiles. Pathways illustrate the hydrolytic dehalogenation of halohydrins (left) and the transformation of epoxides via nucleophilic attack by N3−, CN−, OCN−, SCN−, HCO2−, NO2−, or H2O, yielding structurally diverse β-substituted alcohols. Adapted from ref. 302 and 303.
Recent efforts have focused on G-type HHDHs (HheG, HheG2, HheG3),299 whose dynamic active sites and flexible loop regions confer remarkable tolerance toward bulky, cyclic, and internal epoxides.304 Molecular dynamics simulations and tunnel analyses have helped explain their substrate promiscuity, revealing transient access channels and flexible N-terminal segments that enable broad substrate ranges. Protein-engineering has leveraged these mechanistic insights to yield practical catalysts. Rational and semi-rational redesign of enzymes like IcHheG and AbHheG has enabled precise control of regio- and enantioselectivity in the synthesis of optically pure oxazolidinones from styrene oxides305,306 (Fig. 14). Loop engineering in HheG led to the M45F variant, which shows a ten-fold activity increase and up to 96% enantiomeric excess in cyclohexene-oxide azidolysis. Targeted mutations in HheC have produced stereodivergent pathways to both enantiomers of chiral oxetanes and β-hydroxy nitriles.306–310 Notably, even canonical “motif 1” residues have been repurposed to modulate activity, stability, and solubility.309
Fig. 14 Catalytic transformation of styrene oxides into 4- or 5-phenyl-2-oxazolidinones mediated by representative HHDHs and engineered variants. (A) lcHheG, adapted from ref. 311. (B) lcHheG (I104F/N196W), adapted from ref. 312. (C) ArHheC, adapted from ref. 313. (D) AbHheG (Y15M/N182S), adapted from ref. 312.
Reaction engineering has also played a role. Fed-batch, repetitive-batch, and rotating-bed operation can mitigate substrate inhibition and enzyme deactivation, leading to improved space-time yields for fluorinated β-hydroxy nitriles, azido alcohols, and spiro-epoxyoxindoles.309,314,315 Model-guided simulations now assist in reactor design and substrate dosing.309,314 To enhance stability and reuse, various immobilization methods have been developed, including cross-linked enzyme crystals (CLECs) and MnO2 nanosheets.316,317 For example, HheG D114C CLECs retain catalytic activity for months at room temperature, with high productivity in packed-bed reactors.314 Immobilized HHDHs have also been used in colorimetric halocarbon sensors and for the bioremediation of chlorinated pollutants, highlighting their value for both synthesis and environmental cleanup.317,318 Structural advances have further expanded our understanding. The first crystal structure of a D-type enzyme (HheD2) revealed key hydrogen-bond networks and surface helices linked thermostability,300 while previously underexplored B-type enzymes showed unexpectedly high enantioselectivity, widening the family's landscape.306 High-throughput screening methods, including pH-sensitive dyes and fluorescence assays, have accelerated the directed evolution and metagenomic discovery of new HHDHs, especially from marine and extremophilic sources.298,318 These ongoing efforts are steadily expanding the practical utility of HHDHs for both synthetic chemistry and environmental applications.
3.4 Other dehalogenases
Beyond the well-studied reductive, oxidative, hydrolytic and dehydrohalogenation mechanisms, several alternative enzymatic strategies have been discovered for the breakdown of halogenated compounds. For example, chloromethane dehalogenase (CmuA/CmuB) from Methylobacterium extorquens CM4 uses a methyltransferase-dependent pathway, where a corrinoid cofactor enables halide displacement via methyl transfer319 (Fig. 15A). Glutathione S-transferase-like DCM dehalogenases (e.g., DcmA) from Methylobacterium rhodesianum utilize glutathione as a nucleophile to catalyze conjugation and cleavage of dichloromethane, forming S-chloromethylglutathione intermediates320–322 (Fig. 15B). Psychrophilic bacteria such as Psychrobacter TaeBurcu001 have been shown to degrade 2,2-dichloropropionic acid (Dalapon) at low temperatures through (S)-2-haloacid dehalogenase homologs, expanding the ecological scope of dehalogenases into polar environments.323 In addition, artificial dehalogenases have been engineered to tackle challenging bond transformations. For instance, natural 4-chlorobenzoyl-CoA dehalogenase from Pseudomonas sp. strain CBS-3 has been modified with an unnatural photosensitizer and a NiII complex, enabling the conversion of diverse aryl halides to phenols as well as the formation of C–N bonds324 (Fig. 15C). The application of genome-resolved discovery and protein-engineering continues to expand the diversity and capabilities of dehalogenases, opening up new options for the bioremediation of stubborn pollutants such as PFAS, halophenols, chlorinated solvents, and aromatic herbicides.
Fig. 15 Representative alternative strategies for dehalogenation. (A) Corrinoid-dependent methyl transfer catalyzed by chloromethane dehalogenases (CmuA, CmuB), adapted from ref. 319. (B) Glutathione-mediated conjugation of dichloromethane by DCM dehalogenases (DcmA), adapted from ref. 320–322. (C) Artificial dehalogenase photosensitizer-metalloenzyme PSP-95C-Nill (bpy) catalyzing the dehalogenation of para-bromobenzaldehyde to phenol in the presence of N,N-diisopropylethylamine (DIPEA) in DMF/Tris–HCl buffer (pH 8.8, 1:19) under 380 nm irradiation for 12 h. In the absence of DIPEA, C–N cross-coupling occurred between the aryl bromide and imidazole, adapted from ref. 324.
4. Halogenation and dehalogenation applied in synthetic biology
As more halogenases and dehalogenases are identified and structurally characterized, their applications in synthetic biology are rapidly expanding. While many known halogenases have yet to be fully explored, several have already been harnessed for the engineered biosynthesis of halogenated compounds. These examples illustrate the growing potential for using biocatalytic halogenation and dehalogenation in the production of novel chemicals, pharmaceuticals, and advanced materials.
4.1 Halogenases in synthetic biology applications
With the rapid discovery and structural elucidation of new halogenases, especially flavin-dependent halogenases (FDHs), synthetic biology has gained a powerful set of tools for regioselective halogenation under mild, environmentally friendly conditions. When expressed in microbial or plant hosts, halogenases enable the biosynthesis of structurally diverse, often bioactive halogenated compounds that are otherwise difficult to produce by traditional chemical means. While many halogenases remain undercharacterized, an increasing number have now been successfully integrated into engineered biosynthetic pathways, highlighting their promise for sustainable biomanufacturing (Table 7). Among these, tryptophan halogenases stand out as the most extensively studied and widely applied. These FDHs enable site-specific halogenation of the indole ring in tryptophan, unlocking molecular modifications that are challenging with standard chemistry. For instance, expression of RebH, Thal, and PyrH in S. albus led to the biosynthesis of over 30 halogenated indolocarbazole derivatives325 (Fig. 16A). In Catharanthus roseus, the introduction of halogenase machinery enabled the generation of novel chlorinated alkaloids.326 Protein engineering and directed evolution have further expanded halogenases utility. High-activity RadH mutants have enabled E. coli to produce non-natural halogenated coumarins directly from simple precursors, bypassing the need for hazardous halogenating agents.327 Host engineering has also proven valuable: introducing the tryptophan halogenase prnA into S. coeruleorubidus allowed in situ chlorination of the antibiotic pacidamycin, while transfer of the biosynthetic cluster into bromide-tolerant S. coelicolor enabled efficient bromopacidamycin production.328,329 One challenge for FDH applications at scale is the need for redox cofactors. Multifunctional fusion proteins have been developed to enable in situ cofactor regeneration, as seen in tri-enzyme systems that achieve high-yield tryptophan halogenation in continuous-flow bioreactors.330 At the same time, optimization of microbial hosts, such as engineered Saccharomyces cerevisiae and Corynebacterium glutamicum, has enabled the production of mono- and di-halogenated tryptophan derivatives and downstream products.331,332 Modular and co-culture strategies have also broadened product diversity. A plug-and-play E. coli platform produced multiple halogenated tryptophan analogs from glucose, which were further diversified by downstream enzymes to yield a wide array of novel halogenated compounds.333 The frontier of enzymatic fluorination is evolving rapidly. While classical biocatalytic C–F bond formation relies on nucleophilic fluorinases, recent work has engineered microbial hosts to overcome fluoride toxicity and boost precursor availability334–341 (Fig. 16B and 17). Even more recently, radical-based enzymatic fluorination has been achieved by repurposing natural enzymes, such as the transformation of SvHppE from an epoxidase into an efficient radical fluorination catalyst via directed evolution342 (Fig. 17C). Cooperative photoenzymatic catalysis has further expanded the synthetic possibilities, enabling the formation of stereoselective fluorinated ketones and cyclic products through enzyme–photocatalyst cascades.343 Beyond pharmaceuticals, halogenases have found applications in sustainable dye production, such as the biosynthesis of Tyrian purple (6,6′-dibromoindigo) in E. coli344 (Fig. 16C). Pigment properties can be tuned by regioselective halogenation with enzymes from marine bacteria.345 Recent discoveries also point to a broader evolutionary and taxonomic diversity. Flavin-dependent halogenases from lichenized fungi, such as DnHal from Dirinaria sp., have shown activity toward tryptophan and other substrates, and can be heterologously produced in Pichia pastoris.346 With new discoveries and engineering strategies emerging rapidly, the toolbox for biocatalytic halogenation in synthetic biology will only continue to grow.
Table 7The representative examples of halogenases used in synthetic biology
Halogenase
Origin
Engineered host
Function/role
Representative product(s)
References
aGlucose dehydrogenase (GDH), and flavin reductase (FR).
DnHal
Dirinaria sp.
Pichia pastoris
Halogenation of tryptophan and methyl haematommate
Fig. 16 Representative applications of halogenases in synthetic biology. (A) Modular biosynthetic pathways for generating halogenated bisindole compounds in S. albus via heterologous coexpression of tryptophan halogenases (PyrH, Thal) and rebeccamycin pathway enzymes. The system yields regioselectively chlorinated tryptophan derivatives, 5-chloro-tryptophan (2), 6-chloro-tryptophan (3), and their further conversion to halogenated bisindole intermediates, including 9-chloro-chromopyrrolic acid (CPA, (4)), 9,9′-dichloro-CPA (5), 10-chloro-CPA (8), and advanced products such as 3-chloro-arcyriaflavin A (6) and 3-chloro-staurosporine aglycone (7). Adapted from ref. 325. (B) FlA-mediated biosynthesis of 5′-fluoro-5′-deoxyadenosine (5′-FDA, (10)) and fluorosalinosporamide (11) in engineered Salinispora tropica. The fluorinase FlA catalyzes the transformation of SAM (9) and fluoride ion into 5′-FDA, which is incorporated into the PKS/NRPS pathway to yield fluorosalinosporamide. Adapted from ref. 339. (C) Microbial biosynthesis of Tyrian purple (6,6′-dibromoindigo, (14)) in engineered E. coli strains co-expressing tryptophan 6-halogenase SttH, tryptophanase TnaA, and flavin-containing monooxygenase MaFMO. The pathway enables the conversion of L-tryptophan (1) to 6-bromo-tryptophan (12), 6-bromoindole (13), and finally to the purple dye 6,6′-dibromoindigo (14). Adapted from ref. 344.
Fig. 17 Representative enzymatic pathways and intermediates for carbon–fluorine (C–F) bond formation. (A) Fluorinase employs a hydrogen-bonding network to desolvate fluoride and align SAM for nucleophilic substitution by fluoride.119,347 Adapted from ref. 342. (B) Retaining glycosidase Cellulomonas fimi β-mannosidase (Man2A) mutant (E429A) catalyzing the formation of carbon–fluorine bonds through nucleophilic fluoride attack. Adapted from ref. 348. (C) Repurposed (S)-2-hydroxypropylphosphonate epoxidase from Streptomyces viridochromogenes (SvHppE) catalyzing the C–F bond formation via an abiological, metal-mediated radical fluorination pathway in potassium phosphate (KPi) buffer. Adapted from ref. 342. Red, purple, gray, and green spheres indicate substituents.
4.2 Dehalogenases in synthetic biology applications
Dehalogenases have become important tools in synthetic biology, supporting both environmental and industrial applications by enabling the degradation, transformation, and valorization of halogenated compounds. Their roles now span bioremediation, biocatalysis, and the engineering of microbial consortia for synthetic metabolic pathways. A major advance has been the development of synthetic biodegradation pathways targeting stubborn pollutants that resist natural microbial attack (Table 8). For example, efficient aerobic degradation of 1,2,3-trichloropropane (TCP) required not only directed evolution of the haloalkane dehalogenase DhaA, but also careful integration of improved enzyme variants (such as DhaA31, Dha-M2, and DhaA90R) into industrially relevant hosts like Pseudomonas putida KT2440.245,349–354 Additional genetic modifications like removing repressors, improving oxygen uptake, and suppressing flagellar synthesis, produced robust TCP-degrading strains that have demonstrated high efficiency in bioreactor settings245,349–353,355 (Fig. 18A). HHDHs have also demonstrated useful in asymmetric synthesis. Engineered E. coli expressing HHDHs can convert β-haloalcohols into optically pure epoxides and oxazolidinones in one step, providing valuable routes for pharmaceutical manufacturing with high yields and enantioselectivity356 (Fig. 18B). RDases remain technically challenging due to their cobamide and iron-sulfur requirements, but breakthroughs in heterologous expression, such as co-expressing the btu operon in E. coli and optimizing refolding protocols, have expanded their applicability. Functional RDases, including TmrA and NpRdhA, can now be used for the detoxification of a wide range of pollutants, such as chloroform and iodinated phenolics.357–359 Recent advances have even produced oxygen-tolerant and NADPH-dependent RDases, broadening the range of potential applications to more industrial and aerobic settings.359–361 For hydrolytic dehalogenation, haloacid dehalogenases are being used to degrade compounds like monochloroacetic acid (MCA). Optimizing their recombinant expression, for example, through response surface methodology in E. coli, has yielded efficient biocatalysts for environmental remediation.362 Mechanistic studies, such as site-directed mutagenesis of Pseudomonas aeruginosa homologs, have further clarified the molecular basis of activity and substrate specificity.362,363 Significant progress has also come from protein engineering. Rational design and AI-guided methods have improved catalytic efficiency at key steps (e.g., SN2 transition state stabilization in haloalkane dehalogenases).364 Surface charge engineering and polymer conjugation have increased tolerance to heat, low pH, salt, and organic solvents.223,365–368 Advanced immobilization technologies, including metal–organic frameworks (MOFs) and hybrid nanocomposites, further improve enzyme stability and recyclability.369,370 The use of computational tools has accelerated these advances. AlphaFold, for example, now enables accurate modelling of dehalogenase structures in various ligand-bound states, directly informing the engineering of active sites and substrate channels.371 Empirical valence bond and metadynamics simulations have helped clarify catalytic mechanisms and energy barriers.364 These advances have enabled dehalogenases to move from the laboratory into real-world applications in environmental remediation and synthetic biology, laying a solid foundation for the development of more efficient and sustainable biotransformation systems.
Table 8The representative examples of dehalogenases and dehalogenase used in synthetic biology
Widely used as building blocks in the production of carboxymethyl cellulose (CMC), 2,4-dichlorophenoxyacetic acid (2,4-D), and 2-methyl-4-chlorophenoxyacetic acid (MCPA) herbicides
Fig. 18 Representative application of dehalogenases in synthetic biology. (A) Construction of a synthetic metabolic pathway for aerobic mineralization of 1,2,3-trichloropropane (TCP, (1)) in engineered Pseudomonas putida KT2440. The pathway incorporates three heterologously expressed dehalogenases (highlighted in blue): DhaA, a haloalkane dehalogenase from Rhodococcus rhodochrous NCIMB 13064; HheC, a halohydrin dehalogenase; and EchA, an epoxide hydrolase, both from Agrobacterium radiobacter AD1. These enzymes sequentially convert TCP through (R,S)-2,3-dichloropropane-1-ol (2), (R,S)-epichlorohydrin (3), (R,S)-3-chloropropane-1,2-diol (4), (R,S)-glycidol (5), and glycerol (6), which then enters central metabolism as glycerol-3-phosphate (7) and dihydroxyacetone phosphate (8). Adapted from ref. 355. (B) Biosynthesis of chiral epoxides and oxazolidinone by engineered E. coli expressing dehalogenases (HheD15, HheC-M3, or HheC-M4). Halohydrin dehalogenases are used to achieve stereoselective transformations from 1,3-dichloro-2-phenylpropan-2-ol (9) to (R)-chiral epoxides (10), (S)-chiral epoxides (11), (R)-chiral oxazolidinone (12), and (S)-chiral oxazolidinone (13). This approach enables efficient production of enantiopure intermediates for pharmaceuticals and fine chemicals. Halogen atoms are color-coded: chlorine (Cl, bright magenta), fluorine (F, red), bromine (Br, orange). Adapted from ref. 356.
5. Perspectives
HOCs will continue to drive innovation across pharmaceuticals, agricultural and industrial chemicals, and advanced materials. Yet, the persistent reliance on traditional chemical methods for halogenation and dehalogenation is increasingly misaligned with the global imperative for greener, more resource-efficient processes. In this context, enzyme-catalyzed halogenation and dehalogenation have emerged as powerful alternatives, offered superior site-selectivity, milder reaction conditions, and enhanced environmental compatibility. However, the field remains in a relatively early stage of development. A major bottleneck is the limited diversity of known halogenases and dehalogenases, particularly those capable of acting on challenging bonds such as C–F or C–I. Natural enzymes often exhibt narrow substrate specificity, low stability under industrial conditions, and poor compatibility with existing biocatalytic workflows due to low activity or difficulties in heterologous expression. Meanwhile, bioremediation of persistent organohalogens, especially “forever chemicals” like PFAS, often requires complex, multi-enzyme systems and remains a major technical challenge. Looking ahead, there are compelling opportunities for advancement. One of the most promising direction lies in the discovery of novel enzymes from extreme and previously untapped environments. Deep-sea, hadal zone, polar, and contaminated sites have already yielded unique microbial lineages with unexpected halogen metabolism. For instance, projects such as the Mariana Trench metagenomic surveys374 have started to uncover halogenases and dehalogenases that defy existing mechanistic frameworks and naturally tolerate extreme pressure, salinity, or toxic substrates, traits highly desirable for industrial and environmental applications. At the same time, breakthroughs in AI-driven protein engineering, deep learning-based structure prediction tools like AlphaFold 3,375 and de novo enzyme design platforms like RFdiffusion376 are rapidly transforming the way we discover and refine biocatalysts. These advances enable not only accelerated gene prospecting but also the custom design of enzymes for functions and environments that have no precedent in nature. Directed evolution and machine-learning-guided mutagenesis377 are allowing fine-tuning of selectivity and stability, while synthetic biology platforms facilitate the integration of these parts into robust, modular pathways. The next decade will likely see the emergence of fully engineered “designer” halogenases and dehalogenases, some inspired by nature, others developed entirely in silico, that bridge the gap between laboratory innovation and real-world application. Integration with process automation, continuous manufacturing, and green chemistry principles will be critical for translating these advances into scalable solutions. Achieving these ambitions will require more than technical innovation. It will demand strong cross-disciplinary collaboration spanning synthetic biology, computational science, environmental engineering, and public policy. Equally important will be open data sharing and new partnership models between academia and industry. Ultimately, success in this field will not only enable the precise construction and deconstruction of halogenated molecules but also usher in a new era of chemical synthesis—one defined by sustainability, selectivity, and molecular innovation.
6. Author contributions
Yaojun Tong and Sang Yup Lee conceived and supervised the manuscript. Jing Luo, Na Li, Jia Wang, and Yaojie Gao, Hongzhi Tang, Linquan Bai, Sang Yup Lee, and Yaojun Tong wrote the manuscript. All authors proofread the entire manuscript and provided suggestions for improvement on all sections.
7. Conflicts of interest
There are no conflicts to declare.
8. Data availability
No primary research results, software or code have been included and no new data were generated or analysed as part of this review.
9. Acknowledgements
This work was supported by grants from the National Key Research and Development Program of China (2021YFA0909500), the National Natural Science Foundation of China (32170080, 32370026, and 32500035), Science and Technology Commission of Shanghai Municipality (24HC2810200), Shanghai Pilot Program for Basic Research-Shanghai Jiao Tong University (21TQ1400204). S. Y. L. was supported by the Development of Platform Technologies of Microbial Cell Factories for the Next-Generation Biorefineries Project (2022M3J5A1056117) from National Research Foundation supported by the Korean Ministry of Science and ICT.
10. Notes and references
G. W. Gribble, J. Nat. Prod., 2024, 87, 1285–1305 CrossRefCAS.
D. S. Gkotsi, J. Dhaliwal, M. M. McLachlan, K. R. Mulholand and R. J. Goss, Curr. Opin. Chem. Biol., 2018, 43, 119–126 CrossRefCASPubMed.
A. H. Pang, S. Garneau-Tsodikova and O. V. Tsodikov, J. Struct. Biol., 2015, 192, 349–357 CrossRefCAS.
D. S. Gkotsi, H. Ludewig, S. V. Sharma, J. A. Connolly, J. Dhaliwal, Y. Wang, W. P. Unsworth, R. J. K. Taylor, M. M. W. McLachlan, S. Shanahan, J. H. Naismith and R. J. M. Goss, Nat. Chem., 2019, 11, 1091–1097 CrossRefCAS.
C. Crowe, S. Molyneux, S. V. Sharma, Y. Zhang, D. S. Gkotsi, H. Connaris and R. J. M. Goss, Chem. Soc. Rev., 2021, 50, 9443–9481 RSC.
Y. A. Frias, V. H. Cruz, B. R. d. A. Moreira, G. M. T. Pincerato and P. R. M. Lopes, in Neonicotinoids in the Environment: Emerging Concerns to the Human Health and Biodiversity, ed. R. Singh, V. K. Singh, A. Kumar, S. Tripathi and R. Bhadouria, Springer Nature Switzerland, Cham, 2024, pp. 163–170, DOI:10.1007/978-3-031-45343-4_12.
Y. Zhang, J. Wang, X. He, S. Peng, L. Yuan, G. Huang, Y. Guo and X. Lu, Advanced Science, 2025, 12, 2411788 CrossRefCASPubMed.
C. B. Poor, M. C. Andorfer and J. C. Lewis, Chembiochem, 2014, 15, 1286–1289 CrossRefCASPubMed.
D. Mondal, B. F. Fisher, Y. Jiang and J. C. Lewis, Nat. Commun., 2021, 12, 3268 CrossRefCAS.
S. Zhang, G.-x. Li, D. Fang, X. Zhang, S. Chen, X. Cui and Z. Tang, Nat. Commun., 2025, 16, 3680 CrossRefCASPubMed.
M. Voss, S. Honda Malca and R. Buller, Chem.–Eur. J., 2020, 26, 7336–7345 CrossRefCASPubMed.
T. Dairi, T. Nakano, K. Aisaka, R. Katsumata and M. Hasegawa, Biosci., Biotechnol., Biochem., 1995, 59, 1099–1106 CrossRefCAS.
P. Zeides, K. Bellmann-Sickert, R. Zhang, C. J. Seel, V. Most, C. T. Schoeder, M. Groll and T. Gulder, Nat. Commun., 2025, 16, 2083 CrossRefCAS.
B. Cochereau, Y. Le Strat, Q. Ji, A. Pawtowski, L. Delage, A. Weill, L. Mazéas, C. Hervé, G. Burgaud, N. Gunde-Cimerman, Y. F. Pouchus, N. Demont-Caulet, C. Roullier and L. Meslet-Cladiere, Mar. Biotechnol., 2023, 25, 519–536 CrossRefCAS.
P. Y.-T. Chen, S. Adak, J. R. Chekan, D. K. Liscombe, A. Miyanaga, P. Bernhardt, S. Diethelm, E. N. Fielding, J. H. George, Z. D. Miles, L. A. M. Murray, T. S. Steele, J. M. Winter, J. P. Noel and B. S. Moore, Biochemistry, 2022, 61, 1844–1852 CrossRefCASPubMed.
Z. Yuan, J. Zhang and D. Duan, Int. J. Mol. Sci., 2025, 26, 716 CrossRefCASPubMed.
N. Porta, A. V. Fejzagić, K. Dumschott, B. Paschold, B. Usadel, J. Pietruszka, T. Classen and H. Gohlke, Catalysts, 2022, 12, 1195 CrossRefCAS.
Y.-H. Zhang, Y.-T. Zou, Y.-Y. Zeng, L. Liu and B.-S. Chen, Mar. Drugs, 2024, 22, 419 CrossRefCAS.
V. Lemesheva, C. Birkemeyer, D. Garbary and E. Tarakhovskaya, Eur. J. Phycol., 2020, 55, 275–284 CrossRefCAS.
C. E. Wells, L. P. T. Ramos, L. J. Harstad, L. Z. Hessefort, H. J. Lee, M. Sharma and K. F. Biegasiewicz, ACS Catal., 2023, 13, 4622–4628 CrossRefCAS.
Y. Bhandari, H. Sajwan, P. Pandita and V. Koteswara Rao, Biocatal. Biotransform., 2023, 41, 403–420 CrossRefCAS.
J. T. Baumgartner, C. S. McCaughey, H. S. Fleming, A. R. Lentz, L. M. Sanchez and S. M. K. McKinnie, Vanadium-dependent haloperoxidases from diverse microbes halogenate exogenous alkyl quinolone quorum sensing signals, bioRxiv, 2024, preprint, DOI:10.1101/2024.07.31.606109.
M. Sharma, C. A. Pascoe, S. K. Jones, S. G. Barthel, K. M. Davis and K. F. Biegasiewicz, J. Am. Chem. Soc., 2025, 147, 10698–10705 CrossRefCAS.
M. Sharma, Z. E. Patton, C. R. Shoemaker, J. Bacsa and K. F. Biegasiewicz, Angew Chem. Int. Ed. Engl., 2024, 63, e202411387 CrossRefCASPubMed.
R. Huang, Q. Qiao, T. Shen, X. Wu, C. Wang, N. Ding, W. Chi, H. Sun, Z. Xu, Y. Fang and X. Liu, Precision molecular engineering of miniaturized near-infrared fluorophores, ChemRxiv, 2024, preprint, DOI:10.26434/chemrxiv-2024-h6dvb.
M. Q. E. Mubarak and S. P. de Visser, Isr. J. Chem., 2020, 60, 963–972 CrossRefCAS.
M. Hofrichter and R. Ullrich, Appl. Microbiol. Biotechnol., 2006, 71, 276–288 CrossRefCASPubMed.
J. M. Naapuri, G. A. Åberg, J. M. Palomo and J. Deska, ChemCatChem, 2021, 13, 763–769 CrossRefCAS.
J. Naapuri, J. D. Rolfes, J. Keil, C. Manzuna Sapu and J. Deska, Green Chem., 2017, 19, 447–452 RSC.
F. Chen, C. Zhang, S. Zhang, W. Zhang, H. Su and X. Sheng, J. Chem. Inf. Model., 2025, 65, 1928–1939 CrossRefCAS.
M. Ayala, C. V. Batista and R. Vazquez-Duhalt, JBIC, J. Biol. Inorg. Chem., 2011, 16, 63–68 CrossRefCAS.
J.-B. Park and D. S. Clark, Biotechnol. Bioeng., 2006, 93, 1190–1195 CrossRefCASPubMed.
G. P. Rai, S. Sakai, A. M. Flórez, L. Mogollon and L. P. Hager, Adv. Synth. Catal., 2001, 343, 638–645 CrossRefCAS.
J. Z. Liu and M. Wang, BMC Biotechnol., 2007, 7, 23 CrossRefPubMed.
X. Zhu, D. Guo, J. Zhang, R. Chen, J. Wang and J. Duan, Colloids Surf., A, 2025, 724, 137367 CrossRefCAS.
L.-P. Zhao, B. K. Mai, L. Cheng, F. Gao, Y. Zhao, R. Guo, H. Wu, Y. Zhang, P. Liu and Y. Yang, Nat. Synth., 2024, 3, 967–975 CrossRefCAS.
H. He, J.-X. Yan, J.-X. Zhu, S.-J. Liu, X.-Q. Liu, P. Chen, X. Wang and Z.-J. Jia, Angew. Chem., Int. Ed., 2025, 64, e202423507 CrossRefCAS.
M. Li, Y. Yuan, W. Harrison, Z. Zhang and H. Zhao, Science, 2024, 385, 416–421 CrossRefCAS.
D. Wu, S. Wang, H. Zhang, H. Ke, Z. Sun, S. Xie, Y. Gao, J. Yang, B. Wang and X. Lei, J. Am. Chem. Soc., 2025, 147, 25508–25516 CrossRefCAS.
J. G. Zhang, A. J. Huls, P. M. Palacios, Y. Guo and X. Huang, J. Am. Chem. Soc., 2024, 146, 34878–34886 CrossRefCAS.
L. Getrey, T. Krieg, F. Hollmann, J. Schrader and D. Holtmann, Green Chem., 2014, 16, 1104–1108 RSC.
K. Prakinee, A. Phintha, S. Visitsatthawong, N. Lawan, J. Sucharitakul, C. Kantiwiriyawanitch, J. Damborsky, P. Chitnumsub, K.-H. van Pée and P. Chaiyen, Nat. Catal., 2022, 5, 534–544 CrossRefCAS.
J. Jeon, J. Lee, S.-M. Jung, H. Shin Jae, J. Song Woon and M. Rho, mSystems, 2021, 6(3), e0005321 CrossRefPubMed.
F. Y. Chang and S. F. Brady, J. Am. Chem. Soc., 2011, 133, 9996–9999 CrossRefCASPubMed.
A. J. De Silva, R. Sehgal, J. Kim and J. J. Bellizzi 3rd, Arch. Biochem. Biophys., 2021, 704, 108874 CrossRefCAS.
P. Chankhamjon, Y. Tsunematsu, M. Ishida-Ito, Y. Sasa, F. Meyer, D. Boettger-Schmidt, B. Urbansky, K.-D. Menzel, K. Scherlach, K. Watanabe and C. Hertweck, Angew. Chem., Int. Ed., 2016, 55, 11955–11959 CrossRefCAS.
M. Liu, M. Ohashi, Y.-S. Hung, K. Scherlach, K. Watanabe, C. Hertweck and Y. Tang, J. Am. Chem. Soc., 2021, 143, 7267–7271 CrossRefCAS.
L. Dai, H. Li, S. Dai, Q. Zhang, H. Zheng, Y. Hu, R.-T. Guo and C.-C. Chen, Int. J. Biol. Macromol., 2024, 260, 129312 CrossRefCASPubMed.
Y. Jiang, H. M. Snodgrass, Y. S. Zubi, C. V. Roof, Y. Guan, D. Mondal, N. H. Honeycutt, J. W. Lee, R. D. Lewis, C. A. Martinez and J. C. Lewis, Angew Chem. Int. Ed. Engl., 2022, 61, e202214610 CrossRefCASPubMed.
Y. Jiang, A. Kim, C. Olive and J. C. Lewis, Angew Chem. Int. Ed. Engl., 2024, 63, e202317860 CrossRefCASPubMed.
V. Agarwal, A. A. El Gamal, K. Yamanaka, D. Poth, R. D. Kersten, M. Schorn, E. E. Allen and B. S. Moore, Nat. Chem. Biol., 2014, 10, 640–647 CrossRefCAS.
K. Lingkon and J. J. Bellizzi 3rd, Chembiochem, 2020, 21, 1121–1128 CrossRefCAS.
M. Ashaduzzaman, K. Lingkon, A. J. De Silva and J. J. Bellizzi III, ACS Omega, 2025, 10, 5849–5865 CrossRefCAS.
Y. Hu, S.-Y. Peng, X. Ma, H. Chen, Q.-Y. Nie, J.-B. He, Q. Chen, Q. Zhou, X.-H. Lu, Q. Hua, D. Yang, Y. Liang, M. Ma and G.-L. Tang, Angew. Chem., Int. Ed., 2025, 64, e202418843 CrossRefCASPubMed.
Y. H. Chooi, R. Cacho and Y. Tang, Chem. Biol., 2010, 17, 483–494 CrossRefCAS.
A. L. Lukowski, F. M. Hubert, T.-E. Ngo, N. E. Avalon, W. H. Gerwick and B. S. Moore, J. Am. Chem. Soc., 2023, 145, 18716–18721 CrossRefCASPubMed.
J. R. Heemstra Jr and C. T. Walsh, J. Am. Chem. Soc., 2008, 130, 14024–14025 CrossRefPubMed.
A. E. Fraley, M. Garcia-Borras, A. Tripathi, D. Khare, E. V. Mercado-Marin, H. Tran, Q. Dan, G. P. Webb, K. R. Watts, P. Crews, R. Sarpong, R. M. Williams, J. L. Smith, K. N. Houk and D. H. Sherman, J. Am. Chem. Soc., 2017, 139, 12060–12068 CrossRefCASPubMed.
S. Mori, A. H. Pang, N. Thamban Chandrika, S. Garneau-Tsodikova and O. V. Tsodikov, Nat. Commun., 2019, 10, 1255 CrossRefPubMed.
B. Nowak-Thompson, N. Chaney, S. Wing Jenny, J. Gould Steven and E. Loper Joyce, J. Bacteriol., 1999, 181, 2166–2174 CrossRefCAS.
S. Kirner, P. E. Hammer, D. Steven Hill, A. Altmann, I. Fischer, L. J. Weislo, M. Lanahan, K.-H. van Pée and J. M. Ligon, J. Bacteriol., 1998, 180, 1939–1943 CrossRefCASPubMed.
S. Keller, T. Wage, K. Hohaus, M. Hölzer, E. Eichhorn and K.-H. v. Pee, Angew. Chem., Int. Ed., 2000, 39(13), 2300–2302 CrossRefCAS.
S. Kirner, P. E. Hammer, D. S. Hill, A. Altmann, I. Fischer, L. J. Weislo, M. Lanahan, K.-H. Van PéE and J. M. Ligon, J. Bacteriol., 1998, 180, 1939–1943 CrossRefCAS.
P. E. Hammer, D. S. Hill, S. T. Lam, K.-H. Van Pée and J. M. Ligon, Appl. Environ. Microbiol., 1997, 63, 2147–2157 CrossRefCASPubMed.
S. Zehner, A. Kotzsch, B. Bister, R. D. Sussmuth, C. Mendez, J. A. Salas and K. H. van Pee, Chem. Biol., 2005, 12, 445–452 CrossRefCAS.
N. Diepold, F. Reese, T. Prior, C. Schnepel, N. Sewald and T. Kottke, Photochem. Photobiol. Sci., 2025, 24, 37–51 CrossRefCASPubMed.
J. Zeng and J. Zhan, Chembiochem, 2010, 11, 2119–2123 CrossRefCAS.
E. Yeh, S. Garneau and C. T. Walsh, Proc. Natl. Acad. Sci. U. S. A., 2005, 102, 3960–3965 CrossRefCASPubMed.
J. Lee, J. Kim, H. Kim, E. J. Kim, H. J. Jeong, K. Y. Choi and B. G. Kim, Chembiochem, 2020, 21, 1446–1452 CrossRefCAS.
J. Zeng and J. Zhan, Biotechnol. Lett., 2011, 33, 1607–1613 CrossRefCAS.
H. Luhavaya, R. Sigrist, J. R. Chekan, S. M. K. McKinnie and B. S. Moore, Angew Chem. Int. Ed. Engl., 2019, 58, 8394–8399 CrossRefCAS.
B. R. Menon, J. Latham, M. S. Dunstan, E. Brandenburger, U. Klemstein, D. Leys, C. Karthikeyan, M. F. Greaney, S. A. Shepherd and J. Micklefield, Org. Biomol. Chem., 2016, 14, 9354–9361 RSC.
K. Yamanaka, K. S. Ryan, T. A. Gulder, C. C. Hughes and B. S. Moore, J. Am. Chem. Soc., 2012, 134, 12434–12437 CrossRefCAS.
A. El Gamal, V. Agarwal, S. Diethelm, I. Rahman, M. A. Schorn, J. M. Sneed, G. V. Louie, K. E. Whalen, T. J. Mincer, J. P. Noel, V. J. Paul and B. S. Moore, Proc. Natl. Acad. Sci. U. S. A., 2016, 113, 3797–3802 CrossRefCAS.
P. C. Dorrestein, E. Yeh, S. Garneau-Tsodikova, N. L. Kelleher and C. T. Walsh, Proc. Natl. Acad. Sci. U. S. A., 2005, 102, 13843–13848 CrossRefCAS.
C. Seibold, H. Schnerr, J. Rumpf, A. Kunzendorf, C. Hatscher, T. Wage, A. J. Ernyei, C. Dong, J. H. Naismith and K.-H. Van Pée, Biocatal. Biotransform., 2009, 24, 401–408 CrossRef.
G. Peh, G. A. Gunawan, T. Tay, E. Tiong, L. L. Tan, S. Jiang, Y. L. Goh, S. Ye, J. Wong, C. J. Brown, H. Zhao, E. L. Ang, F. T. Wong and Y. H. Lim, Biomolecules, 2023, 13, 1081 CrossRefCASPubMed.
J. Zeng, A. K. Lytle, D. Gage, S. J. Johnson and J. Zhan, Bioorg. Med. Chem. Lett., 2013, 23, 1001–1003 CrossRefCASPubMed.
L. Kong, Q. Wang, Z. Deng and D. You, Appl. Environ. Microbiol., 2020, 86, e01225 CAS.
M. C. Andorfer, H. J. Park, J. Vergara-Coll and J. C. Lewis, Chem. Sci., 2016, 7, 3720–3729 RSC.
W. S. Glenn, E. Nims and S. E. O'Connor, J. Am. Chem. Soc., 2011, 133, 19346–19349 CrossRefCASPubMed.
S. S. Gao, N. Naowarojna, R. Cheng, X. Liu and P. Liu, Nat. Prod. Rep., 2018, 35, 792–837 RSC.
M. E. Neugebauer, E. N. Kissman, J. A. Marchand, J. G. Pelton, N. A. Sambold, D. C. Millar and M. C. Y. Chang, Nat. Chem. Biol., 2022, 18, 171–179 CrossRefCAS.
J. Zhang, Y. Li, W. Yuan, X. Zhang, Y. Si and B. Wang, ACS Catal., 2024, 14, 9342–9353 CrossRefCAS.
E. N. Kissman, I. Kipouros, J. W. Slater, E. A. Stone, A. Y. Yang, A. Braun, A. R. Ensberg, A. M. Whitten, K. Chatterjee, I. Bogacz, J. Yano, J. M. Bollinger and M. C. Y. Chang, Dynamic metal coordination controls chemoselectivity in radical halogenases, bioRxiv, 2024, preprint, DOI:10.1101/2024.09.19.613983.
F. H. Vaillancourt, J. Yin and C. T. Walsh, Proc. Natl. Acad. Sci. U. S. A., 2005, 102, 10111–10116 CrossRefCASPubMed.
L. C. Blasiak, F. H. Vaillancourt, C. T. Walsh and C. L. Drennan, Nature, 2006, 440, 368–371 CrossRefCAS.
Z. Chang, P. Flatt, W. H. Gerwick, V.-A. Nguyen, C. L. Willis and D. H. Sherman, Gene, 2002, 296, 235–247 CrossRefCAS.
M. L. Matthews, C. S. Neumann, L. A. Miles, T. L. Grove, S. J. Booker, C. Krebs, C. T. Walsh and J. M. Bollinger, Proc. Natl. Acad. Sci. U. S. A., 2009, 106, 17723–17728 CrossRefCASPubMed.
D. P. Galonic, E. W. Barr, C. T. Walsh, J. M. Bollinger Jr and C. Krebs, Nat. Chem. Biol., 2007, 3, 113–116 CrossRefCAS.
D. P. Galonić, F. H. Vaillancourt and C. T. Walsh, J. Am. Chem. Soc., 2006, 128, 3900–3901 CrossRefPubMed.
L. Gu, B. Wang, A. Kulkarni, T. W. Geders, R. V. Grindberg, L. Gerwick, K. Håkansson, P. Wipf, J. L. Smith, W. H. Gerwick and D. H. Sherman, Nature, 2009, 459, 731–735 CrossRefCAS.
D. J. Edwards, B. L. Marquez, L. M. Nogle, K. McPhail, D. E. Goeger, M. A. Roberts and W. H. Gerwick, Chem. Biol., 2004, 11, 817–833 CrossRefCAS.
Z. Chang, N. Sitachitta, J. V. Rossi, M. A. Roberts, P. M. Flatt, J. Jia, D. H. Sherman and W. H. Gerwick, J. Nat. Prod., 2004, 67, 1356–1367 CrossRefCAS.
A. V. Ramaswamy, C. M. Sorrels and W. H. Gerwick, J. Nat. Prod., 2007, 70, 1977–1986 CrossRefCAS.
S. M. Pratter, K. M. Light, E. I. Solomon and G. D. Straganz, J. Am. Chem. Soc., 2014, 136, 9385–9395 CrossRefCAS.
W. Jiang, J. R. Heemstra Jr, R. R. Forseth, C. S. Neumann, S. Manaviazar, F. C. Schroeder, K. J. Hale and C. T. Walsh, Biochemistry, 2011, 50, 6063–6072 CrossRefCASPubMed.
C. S. Neumann and C. T. Walsh, J. Am. Chem. Soc., 2008, 130, 14022–14023 CrossRefCASPubMed.
D. G. Fujimori, S. Hrvatin, C. S. Neumann, M. Strieker, M. A. Marahiel and C. T. Walsh, Proc. Natl. Acad. Sci. U. S. A., 2007, 104, 16498–16503 CrossRefPubMed.
F. H. Vaillancourt, E. Yeh, D. A. Vosburg, S. E. O'Connor and C. T. Walsh, Nature, 2005, 436, 1191–1194 CrossRefCASPubMed.
M. L. Hillwig and X. Liu, Nat. Chem. Biol., 2014, 10, 921–923 CrossRefCASPubMed.
A. J. Mitchell, Q. Zhu, A. O. Maggiolo, N. R. Ananth, M. L. Hillwig, X. Liu and A. K. Boal, Nat. Chem. Biol., 2016, 12, 636–640 CrossRefCAS.
M. L. Hillwig, Q. Zhu, K. Ittiamornkul and X. Liu, Angew Chem. Int. Ed. Engl., 2016, 55, 5780–5784 CrossRefCASPubMed.
A. J. Mitchell, N. P. Dunham, J. A. Bergman, B. Wang, Q. Zhu, W. C. Chang, X. Liu and A. K. Boal, Biochemistry, 2017, 56, 441–444 CrossRefCASPubMed.
C. Zhao, S. Yan, Q. Li, H. Zhu, Z. Zhong, Y. Ye, Z. Deng and Y. Zhang, Angew. Chem., Int. Ed., 2020, 59, 9478–9484 CrossRefCAS.
C. Y. Kim, A. J. Mitchell, C. M. Glinkerman, F.-S. Li, T. Pluskal and J.-K. Weng, Nat. Commun., 2020, 11, 1867 CrossRefCASPubMed.
S. Duewel, L. Schmermund, T. Faber, K. Harms, V. Srinivasan, E. Meggers and S. Hoebenreich, ACS Catal., 2020, 10, 1272–1277 CrossRefCAS.
M. Ueki, D. P. Galonić, F. H. Vaillancourt, S. Garneau-Tsodikova, E. Yeh, D. A. Vosburg, F. C. Schroeder, H. Osada and C. T. Walsh, Chem. Biol., 2006, 13, 1183–1191 CrossRefCAS.
J. Büchler, S. H. Malca, D. Patsch, M. Voss, N. J. Turner, U. T. Bornscheuer, O. Allemann, C. Le Chapelain, A. Lumbroso, O. Loiseleur and R. Buller, Nat. Commun., 2022, 13, 371 CrossRefPubMed.
C.-Y. Chiang, M. Ohashi, J. Le, P.-P. Chen, Q. Zhou, S. Qu, U. Bat-Erdene, S. Hematian, J. A. Rodriguez, K. N. Houk, Y. Guo, J. A. Loo and Y. Tang, Nature, 2025, 638, 126–132 CrossRefCAS.
H. M. Senn, Front. Chem., 2014, 2, 98 Search PubMed.
X. Zhu, D. A. Robinson, A. R. McEwan, D. O'Hagan and J. H. Naismith, J. Am. Chem. Soc., 2007, 129, 14597–14604 CrossRefCAS.
A. Cros, G. Alfaro-Espinoza, A. De Maria, N. T. Wirth and P. I. Nikel, Curr. Opin. Biotechnol., 2021, 74, 180–193 CrossRef.
A. S. Eustaquio, F. Pojer, J. P. Noel and B. S. Moore, Nat. Chem. Biol., 2008, 4, 69–74 CrossRefCASPubMed.
Y. Nagatoshi and T. Nakamura, Plant Biotechnol., 2007, 24, 503–506 CrossRefCAS.
H. Toda and N. Itoh, Phytochemistry, 2011, 72, 337–343 CrossRefCAS.
Y. Jiang, M. Yao, J. Feng, H. Niu, B. Qiao, B. Li, B. Wang, W. Xiao, M. Dong and Y. Yuan, J. Agric. Food Chem., 2024, 72, 12685–12695 CrossRefCASPubMed.
D. O'Hagan, C. Schaffrath, S. L. Cobb, J. T. G. Hamilton and C. D. Murphy, Nature, 2002, 416, 279 CrossRef.
s. Zakary, H. Oyewusi and F. Huyop, Journal of Tropical Life Science, 2021, 11, 17–24 CrossRef.
R. Z. Sayyed and P. R. Patel, Int. J. Biotechnol. Biosci., 2011, 1, 41–66 Search PubMed.
L. A. Hug, F. Maphosa, D. Leys, F. E. Loffler, H. Smidt, E. A. Edwards and L. Adrian, Philos. Trans. R. Soc., B, 2013, 368, 20120322 CrossRefPubMed.
B.-E. Jugder, H. Ertan, S. Bohl, M. Lee, C. P. Marquis and M. Manefield, Front. Microbiol., 2016, 7, 249 Search PubMed.
R. Wu and S. Wang, Front. Environ. Sci. Eng., 2021, 16, 22 CrossRef.
D. R. Shelton and J. M. Tiedje, Appl. Environ. Microbiol., 1984, 48, 840–848 CrossRefCASPubMed.
J. Yan, J. Wang, M. I. Villalobos Solis, H. Jin, K. Chourey, X. Li, Y. Yang, Y. Yin, R. L. Hettich and F. E. Löffler, Environ. Sci. Technol., 2021, 55, 4831–4841 CrossRefCASPubMed.
M. Asai, N. Yoshida, T. Kusakabe, M. Ismaeil, T. Nishiuchi and A. Katayama, Environ. Res., 2022, 207, 112150 CrossRefCASPubMed.
G. Chen, F. Kara Murdoch, Y. Xie, W. Murdoch Robert, Y. Cui, Y. Yang, J. Yan, A. Key Trent and E. Löffler Frank, Appl. Environ. Microbiol., 2022, 88, e00443 Search PubMed.
C.-W. Lu, C.-M. Kao, C.-L. Yao and S.-C. Chen, Environ. Pollut., 2024, 363, 125096 CrossRefCASPubMed.
S. Zhang, W. Wen, X. Xia, W. Ouyang, B.-x. Mai, L. Adrian and G. Schüürmann, Environ. Sci. Technol., 2023, 57, 10773–10781 CrossRefCASPubMed.
M. Eberwein, N. Hellmold, R. Frank, D. Deobald and L. Adrian, Front. Microbiol., 2024, 15Search PubMed.
L. Cimmino, A. W. Schmid, C. Holliger and J. Maillard, Front. Microbiol., 2022, 13Search PubMed.
X. Li, X. Li, H. Jin, J. Wang, L. Yu, J. Yan and Y. Yang, Appl. Environ. Microbiol., 2025, 91, e01719–e01724 Search PubMed.
B. E. Jugder, S. Bohl, H. Lebhar, R. D. Healey, M. Manefield, C. P. Marquis and M. Lee, Microb. Biotechnol., 2017, 10, 1640–1648 CrossRefCASPubMed.
S. Tang and E. A. Edwards, Philos. Trans. R. Soc., B, 2013, 368, 20120318 CrossRefPubMed.
J. K. Magnuson, M. F. Romine, D. R. Burris and M. T. Kingsley, Appl. Environ. Microbiol., 2000, 66, 5141–5147 CrossRefCASPubMed.
K. Magnuson Jon, V. Stern Robert, M. Gossett James, H. Zinder Stephen and R. Burris David, Appl. Environ. Microbiol., 1998, 64, 1270–1275 CrossRef.
S. Tang, W. W. Chan, K. E. Fletcher, J. Seifert, X. Liang, F. E. Loffler, E. A. Edwards and L. Adrian, Appl. Environ. Microbiol., 2013, 79, 974–981 CrossRefCAS.
R. Krajmalnik-Brown, T. Hölscher, I. N. Thomson, F. M. Saunders, K. M. Ritalahti and F. E. Löffler, Appl. Environ. Microbiol., 2004, 70, 6347–6351 CrossRefCASPubMed.
S. Hartwig, N. Dragomirova, A. Kublik, D. Türkowsky, M. von Bergen, U. Lechner, L. Adrian and R. G. Sawers, Environ. Microbiol. Rep., 2017, 9, 618–625 CrossRefCASPubMed.
C. Ding, M. J. Rogers, K. L. Yang and J. He, Environ. Microbiol., 2017, 19, 2906–2915 CrossRefCAS.
G. Xu, S. Zhao, C. Chen, X. Zhao, R. Ramaswamy and J. He, Environ. Sci. Technol., 2022, 56, 4039–4049 CrossRef.
S. Zhao, M. J. Rogers, L. Cao, C. Ding and J. He, Appl. Environ. Microbiol., 2021, 87, e0060221 CrossRef.
J. A. Müller, B. M. Rosner, G. Von Abendroth, G. Meshulam-Simon, P. L. McCarty and A. M. Spormann, Appl. Environ. Microbiol., 2004, 70, 4880–4888 CrossRefPubMed.
A. Parthasarathy, T. A. Stich, S. T. Lohner, A. Lesnefsky, R. D. Britt and A. M. Spormann, J. Am. Chem. Soc., 2015, 137, 3525–3532 CrossRefCASPubMed.
S. Zhao, C. Ding, G. Xu, M. J. Rogers, R. Ramaswamy and J. He, ISME J., 2022, 16, 2123–2131 CrossRefCASPubMed.
A. Trueba-Santiso, K. Wasmund, J. M. Soder-Walz, E. Marco-Urrea and L. Adrian, J. Proteome Res., 2021, 20, 613–623 CrossRefCAS.
B. A. van de Pas, H. Smidt, W. R. Hagen, J. van der Oost, G. Schraa, A. J. M. Stams and W. M. de Vos, J. Biol. Chem., 1999, 274, 20287–20292 CrossRefCASPubMed.
M. Marzorati, F. de Ferra, H. Van Raemdonck, S. Borin, E. Allifranchini, G. Carpani, L. Serbolisca, W. Verstraete, N. Boon and D. Daffonchio, Appl. Environ. Microbiol., 2007, 73, 2990–2999 CrossRefCASPubMed.
A. Boyer, R. Pagé-BéLanger, M. Saucier, R. Villemur, F. Lépine, P. Juteau and R. Beaudet, Biochem. J., 2003, 373, 297–303 CrossRefCASPubMed.
H. De Wever, R. Cole James, R. Fettig Michael, A. Hogan Deborah and M. Tiedje James, Appl. Environ. Microbiol., 2000, 66, 2297–2301 CrossRefCASPubMed.
Y. Sung, E. Fletcher Kelly, M. Ritalahti Kirsti, P. Apkarian Robert, N. Ramos-Hernández, A. Sanford Robert, M. Mesbah Noha and E. Löffler Frank, Appl. Environ. Microbiol., 2006, 72, 2775–2782 CrossRefCAS.
M. Bommer, C. Kunze, J. Fesseler, T. Schubert, G. Diekert and H. Dobbek, Science, 2014, 346, 455–458 CrossRefCASPubMed.
C. Kunze, M. Bommer, W. R. Hagen, M. Uksa, H. Dobbek, T. Schubert and G. Diekert, Nat. Commun., 2017, 8, 15858 CrossRefCASPubMed.
S. Keller, C. Kunze, M. Bommer, C. Paetz, C. Menezes Riya, A. Svatoš, H. Dobbek and T. Schubert, J. Bacteriol., 2018, 200(8), e00584 CrossRefPubMed.
A. Neumann, G. Wohlfarth and G. Diekert, J. Biol. Chem., 1996, 271, 16515–16519 CrossRefCASPubMed.
E. D. Greenhalgh, C. Kunze, T. Schubert, G. Diekert and T. C. Brunold, Biochemistry, 2021, 60, 2022–2032 CrossRefCAS.
J. He, K. R. Robrock and L. Alvarez-Cohen, Environ. Sci. Technol., 2006, 40, 4429–4434 CrossRefCAS.
F. Maphosa, W. M. de Vos and H. Smidt, Trends Biotechnol., 2010, 28, 308–316 CrossRefCASPubMed.
S. Zhao, M. J. Rogers, C. Ding and J. He, Front. Microbiol., 2018, 9, 1292 CrossRef.
J. A. Tokarz, M.-Y. Ahn, J. Leng, T. R. Filley and L. Nies, Environ. Sci. Technol., 2008, 42, 1157–1164 CrossRefCASPubMed.
K. R. Robrock, P. Korytár and L. Alvarez-Cohen, Environ. Sci. Technol., 2008, 42, 2845–2852 CrossRefCAS.
L. K. Lee and J. He, Appl. Environ. Microbiol., 2010, 76, 794–802 CrossRefCAS.
C. Ding, W. L. Chow and J. He, Appl. Environ. Microbiol., 2013, 79, 1110–1117 CrossRefCASPubMed.
G. Xu, S. Zhao, C. Chen, X. Zhao, R. Ramaswamy and J. He, Environ. Sci. Technol., 2022, 56, 4039–4049 CrossRef.
S. Valizadeh, S. S. Lee, K. Baek, Y. J. Choi, B. H. Jeon, G. H. Rhee, K. Y. Andrew Lin and Y. K. Park, Environ. Res., 2021, 200, 111757 CrossRefCAS.
R. Jing, S. Fusi and B. V. Kjellerup, Frontiers in Environmental Science, 2018, 6CrossRef.
J.-P. Desforges, A. Hall, B. McConnell, A. Rosing-Asvid, J. L. Barber, A. Brownlow, S. De Guise, I. Eulaers, P. D. Jepson, R. J. Letcher, M. Levin, P. S. Ross, F. Samarra, G. Víkingson, C. Sonne and R. Dietz, Science, 2018, 361, 1373–1376 CrossRefCASPubMed.
X. Maymó-Gatell, Y.-t. Chien, J. M. Gossett and S. H. Zinder, Science, 1997, 276, 1568–1571 CrossRef.
I. Nijenhuis and S. H. Zinder, Appl. Environ. Microbiol., 2005, 71, 1664–1667 CrossRefCASPubMed.
J. M. Fung, R. M. Morris, L. Adrian and S. H. Zinder, Appl. Environ. Microbiol., 2007, 73, 4439–4445 CrossRefCAS.
D. E. Fennell, I. Nijenhuis, S. F. Wilson, S. H. Zinder and M. M. Häggblom, Environ. Sci. Technol., 2004, 38, 2075–2081 CrossRefCASPubMed.
S. K. Fagervold, J. E. Watts, H. D. May and K. R. Sowers, Appl. Environ. Microbiol., 2005, 71, 8085–8090 CrossRefCAS.
L. A. Cutter, J. E. M. Watts, K. R. Sowers and H. D. May, Environ. Microbiol., 2001, 3, 699–709 CrossRefCASPubMed.
Q. Wu, J. E. Watts, K. R. Sowers and H. D. May, Appl. Environ. Microbiol., 2002, 68, 807–812 CrossRefCASPubMed.
L. Adrian, V. Dudkova, K. Demnerova and D. L. Bedard, Appl. Environ. Microbiol., 2009, 75, 4516–4524 CrossRefCAS.
H. D. May, G. S. Miller, B. V. Kjellerup and K. R. Sowers, Appl. Environ. Microbiol., 2008, 74, 2089–2094 CrossRefCAS.
J. M. Ewald, S. V. Humes, A. Martinez, J. L. Schnoor and T. E. Mattes, Environ. Sci. Pollut. Res., 2020, 27, 8846–8858 CrossRefCASPubMed.
L. Qiu, W. Fang, H. He, Z. Liang, Y. Zhan, Q. Lu, D. Liang, Z. He, B. Mai and S. Wang, Environ. Sci. Technol., 2020, 54, 8791–8800 CrossRefCAS.
G. Xu, H. He, D. Tang, Q. Lu, B. Mai, Z. He, L. Adrian, J. He, J. Dolfing and S. Wang, Environ. Sci. Technol., 2025, 59, 7712–7721 CrossRefCAS.
P. Peng, T. Goris, Y. Lu, B. Nijsse, A. Burrichter, D. Schleheck, J. J. Koehorst, J. Liu, D. Sipkema, J. S. Sinninghe Damste, A. J. M. Stams, M. M. Häggblom, H. Smidt and S. Atashgahi, ISME J., 2020, 14, 815–827 CrossRefCASPubMed.
X. Chen, Z. Li, Z. Zhang, J. Nan, G. Zhao, S.-H. Ho, B. Liang and A. Wang, Water Res., 2025, 273, 123014 CrossRefCAS.
W. Qiao, G. Liu, M. Li, X. Su, L. Lu, S. Ye, J. Wu, E. A. Edwards and J. Jiang, Environ. Sci. Technol., 2022, 56, 12237–12246 CrossRefCASPubMed.
Z. Ning, M. Zhang, N. Zhang, C. Guo, C. Hao, S. Zhang, C. Shi, Y. Sheng and Z. Chen, J. Environ. Chem. Eng., 2022, 10, 108907 CrossRefCAS.
Z. Deng, Y. Xie, H. Yu, X. Zhang, T. Tan, W. Kuang, Z. Han, Y. Li, H. Wang, N. Zhang and C. Zhang, Water Res., 2025, 285, 124072 CrossRefCASPubMed.
Y. Yu, K. Zhang, Z. Li, C. Ren, J. Chen, Y.-H. Lin, J. Liu and Y. Men, Environ. Sci. Technol., 2020, 54, 14393–14402 CrossRefCASPubMed.
G. Liu, K. Chen, Z. Wu, Y. Ji, L. Lu, S. Liu, Z.-L. Li, R. Ji, S.-J. Liu, J. Jiang and W. Qiao, Environ. Sci. Technol., 2024, 58, 1299–1311 CrossRefCAS.
J. Palau, A. Trueba-Santiso, R. Yu, S. H. Mortan, O. Shouakar-Stash, D. L. Freedman, K. Wasmund, D. Hunkeler, E. Marco-Urrea and M. Rosell, Environ. Sci. Technol., 2023, 57, 1949–1958 CrossRefCASPubMed.
Y. Zu, Z. Li, Z. Zhang, X. Chen, B. Wu, S.-H. Ho and A. Wang, Water Res., 2025, 281, 123592 CrossRefCASPubMed.
H. Ren, R. Xu, T. Chi, F. Li, Y. Zheng, J. Tian and L. Chen, Chem. Eng. J., 2023, 459, 141497 CrossRefCAS.
Y. Cai, Y.-H. Luo, X. Long, M. A. Roldan, S. Yang, C. Zhou, D. Zhou and B. E. Rittmann, Environ. Sci. Technol., 2022, 56, 18030–18040 CrossRefCASPubMed.
J. Liu, G. Xu, S. Zhao, C. Chen, M. J. Rogers and J. He, J. Hazard. Mater., 2023, 448, 130895 CrossRefCASPubMed.
Q. Lu, J. Liu, H. He, Z. Liang, R. Qiu and S. Wang, J. Hazard. Mater., 2021, 411, 125189 CrossRefCASPubMed.
R. Shen, Q. Li, Q. Lu, Z. He, X. He and S. Wang, Water Res., 2025, 284, 123964 CrossRefCASPubMed.
D. Cao, X. Chen, J. Nan, A. Wang and Z. Li, Water Res., 2023, 247, 120836 CrossRefCASPubMed.
T. L. Ng and P. A. Silver, ACS Chem. Biol., 2024, 19, 380–391 CrossRefCASPubMed.
Q. Lin, X. Zhou, S. Zhang, J. Gao, M. Xie, L. Tao, F. Sun, C. Shen, M. Z. Hashmi and X. Su, Environ. Res., 2022, 207, 112648 CrossRefCASPubMed.
G. Zambrano, A. Sekretareva, D. D'Alonzo, L. Leone, V. Pavone, A. Lombardi and F. Nastri, RSC Adv., 2022, 12, 12947–12956 RSC.
J. Min, S. Fang, J. Peng, X. Lv, L. Xu, Y. Li and X. Hu, Environ. Res., 2022, 205, 112494 CrossRefCASPubMed.
U. K. Bagha, J. K. Satpathy, G. Mukherjee, P. Barman, D. Kumar, S. P. de Visser and C. V. Sastri, Faraday Discuss., 2022, 234, 58–69 RSC.
S. G. Bell, R. Zhou, W. Yang, A. B. H. Tan, A. S. Gentleman, L.-L. Wong and W. Zhou, Chem.–Eur. J., 2012, 18, 16677–16688 CrossRefCASPubMed.
A. Canada Keith, S. Iwashita, H. Shim and K. Wood Thomas, J. Bacteriol., 2002, 184, 344–349 CrossRefCAS.
D. Ryoo, H. Shim, F. Arenghi, P. Barbieri and T. Wood, Appl. Microbiol. Biotechnol., 2001, 56, 545–549 CrossRefCAS.
P. Pimviriyakul, K. Thotsaporn, J. Sucharitakul and P. Chaiyen, J. Biol. Chem., 2017, 292, 4818–4832 CrossRefCAS.
K. Furukawa and T. Miyazaki, J. Bacteriol., 1986, 166, 392–398 CrossRefCAS.
F. J. Mondello, J. Bacteriol., 1989, 171, 1725–1732 CrossRefCAS.
J. R. van der Meer, A. R. van Neerven, E. J. de Vries, W. M. de Vos and A. J. Zehnder, J. Bacteriol., 1991, 173, 6–15 CrossRefCAS.
L. P. Wackett and D. T. Gibson, Appl. Environ. Microbiol., 1988, 54, 1703–1708 CrossRefCAS.
D. K. Joshi and M. H. Gold, Appl. Environ. Microbiol., 1993, 59, 1779–1785 CrossRefCASPubMed.
K. Valli and M. H. Gold, J. Bacteriol., 1991, 173, 345–352 CrossRefCAS.
L. Roy-Arcand and F. S. Archibald, Enzyme Microb. Technol., 1991, 13, 194–203 CrossRefCAS.
Z. Han, Q. Lin, S. Zhang, X. Zhou, S. Li, F. Sun, C. Shen and X. Su, Sci. Total Environ., 2023, 856, 159224 CrossRefCASPubMed.
L. Fang, H. Qin, T. Shi, X. Wu, Q. X. Li and R. Hua, J. Hazard. Mater., 2020, 388, 121787 CrossRefCASPubMed.
M. L. Di Franca, B. Matturro, S. Crognale, M. Zeppilli, E. Dell'Armi, M. Majone, M. Petrangeli Papini and S. Rossetti, Front. Microbiol., 2022, 13, 951911 CrossRef.
E. Dell'Armi, M. Zeppilli, M. L. Di Franca, B. Matturro, V. Feigl, M. Molnár, Z. Berkl, I. Németh, H. Yaqoubi, S. Rossetti, M. P. Papini and M. Majone, Journal of Water Process Engineering, 2022, 49, 103101 CrossRef.
T. E. Mattes, Y. O. Jin, J. Livermore, M. Pearl and X. Liu, Appl. Microbiol. Biotechnol., 2015, 99, 9267–9276 CrossRefCASPubMed.
T. Coleman, M. N. Podgorski, M. L. Doyle, J. M. Scaffidi-Muta, E. C. Campbell, J. B. Bruning, J. J. De Voss and S. G. Bell, J. Inorg. Biochem., 2023, 244, 112234 CrossRefCASPubMed.
K. Furukawa, H. Suenaga and M. Goto, J. Bacteriol., 2004, 186, 5189–5196 CrossRefCAS.
H. A. Oyewusi, R. A. Wahab and F. Huyop, Mar. Pollut. Bull., 2020, 160, 111603 CrossRefCASPubMed.
H. Sarma and S. J. Joshi, Bull. Environ. Contam. Toxicol., 2022, 108, 478–484 CrossRefCASPubMed.
Y. Nagata, Y. Ohtsubo and M. Tsuda, Appl. Microbiol. Biotechnol., 2015, 99, 9865–9881 CrossRefCASPubMed.
Y. Shan, W. Yu, L. Shen, X. Guo, H. Zheng, J. Zhong, T. Hu and Y. Han, Enzyme Microb. Technol., 2021, 149, 109832 CrossRefCASPubMed.
S. Keuning, D. B. Janssen and B. Witholt, J. Bacteriol., 1985, 163, 635–639 CrossRefCASPubMed.
D. B. Janssen, F. Pries, J. v. d. Ploeg, B. Kazemier, P. Terpstra and B. Witholt, J. Bacteriol., 1989, 171, 6791–6799 CrossRefCAS.
A. N. Kulakova, T. M. Stafford, M. J. Larkin and L. A. Kulakov, Plasmid, 1995, 33, 208–217 CrossRefCASPubMed.
G. J. Poelarends, M. Zandstra, T. Bosma, L. A. Kulakov, M. J. Larkin, J. R. Marchesi, A. J. Weightman and D. B. Janssen, J. Bacteriol., 2000, 182, 2725–2731 CrossRefCASPubMed.
Y. Nagata, T. Nariya, R. Ohtomo, M. Fukuda, K. Yano and M. Takagi, J. Bacteriol., 1993, 175, 6403–6410 CrossRefCASPubMed.
Y. Nagata, K. Miyauchi, J. Damborsky, K. Manova, A. Ansorgova and M. Takagi, Appl. Environ. Microbiol., 1997, 63, 3707–3710 CrossRefCASPubMed.
M. C. Knobloch, L. Schinkel, I. Schilling, H. E. Kohler, P. Lienemann, D. Bleiner and N. V. Heeb, Chemosphere, 2021, 262, 128288 CrossRefCAS.
A. Li and Z. Shao, PLoS One, 2014, 9, e89144 CrossRefPubMed.
R. Chaloupkova, T. Prudnikova, P. Rezacova, Z. Prokop, T. Koudelakova, L. Daniel, J. Brezovsky, W. Ikeda-Ohtsubo, Y. Sato, M. Kuty, Y. Nagata, I. Kuta Smatanova and J. Damborsky, Acta Crystallogr., Sect. D: Biol. Crystallogr., 2014, 70, 1884–1897 CrossRefCASPubMed.
Y. Sato, M. Monincová, R. Chaloupková, Z. Prokop, Y. Ohtsubo, K. Minamisawa, M. Tsuda, J. Damborský and Y. Nagata, Appl. Environ. Microbiol., 2005, 71, 4372–4379 CrossRefCAS.
L. Carlucci, E. Zhou, V. N. Malashkevich, S. C. Almo and E. C. Mundorff, Protein Sci., 2016, 25, 877–886 CrossRefCAS.
A. Jesenská, M. Bartoš, V. Czerneková, I. Rychlík, I. Pavlík and J. Damborský, Appl. Environ. Microbiol., 2002, 68, 3724–3730 CrossRefPubMed.
P. A. Mazumdar, J. C. Hulecki, M. M. Cherney, C. R. Garen and M. N. G. James, Biochim. Biophys. Acta, Proteins Proteomics, 2008, 1784, 351–362 CrossRefCASPubMed.
J. J. Gehret, L. Gu, T. W. Geders, W. C. Brown, L. Gerwick, W. H. Gerwick, D. H. Sherman and J. L. Smith, Protein Sci., 2012, 21, 239–248 CrossRefCASPubMed.
H. K. H. Fung, M. S. Gadd, T. A. Drury, S. Cheung, J. M. Guss, N. V. Coleman and J. M. Matthews, Mol. Microbiol., 2015, 97, 439–453 CrossRefCASPubMed.
M. Hesseler, X. Bogdanović, A. Hidalgo, J. Berenguer, G. J. Palm, W. Hinrichs and U. T. Bornscheuer, Appl. Microbiol. Biotechnol., 2011, 91, 1049–1060 CrossRefCASPubMed.
H. R. Novak, C. Sayer, M. N. Isupov, D. Gotz, A. M. Spragg and J. A. Littlechild, FEBS Lett., 2014, 588, 1616–1622 CrossRefCAS.
J. Marek, J. Vévodová, I. K. Smatanová, Y. Nagata, L. A. Svensson, J. Newman, M. Takagi and J. Damborský, Biochemistry, 2000, 39, 14082–14086 CrossRefCAS.
P. Bhatt, M. S. Kumar, S. Mudliar and T. Chakrabarti, Critical Reviews in Environmental Science and Technology, 2007, 37, 165–198 CrossRefCAS.
Y. Nagata, K. Miyauchi and M. Takagi, J. Ind. Microbiol. Biotechnol., 1999, 23, 380–390 CrossRefCASPubMed.
K. Miyauchi, S.-K. Suh, Y. Nagata and M. Takagi, J. Bacteriol., 1998, 180, 1354–1359 CrossRefCASPubMed.
T. Bosma, J. Damborský, G. Stucki and D. B. Janssen, Appl. Environ. Microbiol., 2002, 68, 3582–3587 CrossRefCASPubMed.
J. Hon, S. Borko, J. Stourac, Z. Prokop, J. Zendulka, D. Bednar, T. Martinek and J. Damborsky, Nucleic Acids Res., 2020, 48, W104–W109 CrossRefCASPubMed.
P. Kohout, M. Vasina, M. Majerova, V. Novakova, J. Damborsky, D. Bednar, M. Marek, Z. Prokop and S. Mazurenko, JACS Au, 2025, 5, 838–850 CrossRefCASPubMed.
K. Snajdarova, S. M. Marques, J. Damborsky, D. Bednar and M. Marek, Acta Crystallogr., Sect. D: Struct. Biol., 2023, 79, 956–970 CrossRefCASPubMed.
A. Mazur, T. Prudnikova, P. Grinkevich, J. R. Mesters, D. Mrazova, R. Chaloupkova, J. Damborsky, M. Kuty, P. Kolenko and I. Kuta Smatanova, Acta Crystallogr., Sect. D: Struct. Biol., 2021, 77, 347–356 CrossRefCAS.
K. Chmelova, T. Gao, M. Polak, A. Schenkmayerova, T. I. Croll, T. R. Shaikh, J. Skarupova, R. Chaloupkova, K. Diederichs, R. J. Read, J. Damborsky, J. Novacek and M. Marek, Protein Sci., 2023, 32, e4751 CrossRefCASPubMed.
A. Sowińska, M. Rostkowski, A. Krzemińska, T. Englman, F. Gelman and A. Dybala-Defratyka, Arch. Biochem. Biophys., 2023, 743, 109675 CrossRef.
F. Yu, B. Zhang, Y. Liu, W. Luo, H. Chen, J. n. Gao, X. Ye, J. Li, Q. Xie, T. Peng, H. Wang, T. Huang and Z. Hu, J. Hazard. Mater., 2024, 469, 134036 CrossRefCASPubMed.
B. Zhang, W. Luo, Y. Liu, H. Chen, T. Pan, B. Wang, K. Li, H. Jia, S. Zhou, S. Meng, X. Ye, T. Peng, H. Wang, J.-D. Gu, F. Yu and Z. Hu, Int. Biodeterior. Biodegrad., 2025, 201, 106061 CrossRefCAS.
Y. Huang, L. Wen, L. Zhang, J. Xu, W. Wang, H. Hu, P. Xu, Z. Li and H. Tang, The Innovation, 2023, 4Search PubMed.
S. Bhattarai, H. Temme, A. Jain, J. P. Badalamenti, J. A. Gralnick and P. J. Novak, FEMS Microbiol. Ecol., 2022, 98CrossRefCAS.
Y. Xie, D. Ramirez, G. Chen, G. He, Y. Sun, F. K. Murdoch and F. E. Löffler, Environ. Sci. Technol., 2023, 57, 15925–15935 CrossRefCAS.
H. R. Temme and P. J. Novak, Environ. Sci.: Processes Impacts, 2020, 22, 595–605 RSC.
A. Kunka, S. M. Marques, M. Havlasek, M. Vasina, N. Velatova, L. Cengelova, D. Kovar, J. Damborsky, M. Marek, D. Bednar and Z. Prokop, ACS Catal., 2023, 13, 12506–12518 CrossRefCASPubMed.
A. Shaposhnikova, M. Kuty, R. Chaloupkova, J. Damborsky, I. Kuta Smatanova, B. Minofar and T. Prudnikova, Crystals, 2021, 11, 1052 CrossRefCAS.
F. Wang, X. Liu, T. Song, C. Pei, Q. Huang, H. Jiang and H. Xi, Protein Pept. Lett., 2023, 30, 959–965 CrossRefCASPubMed.
X.-Y. Yuan, L.-X. Li, Q. Zhao, X.-Y. Zhang, Q. Li, X.-F. Zhao and X. Ji, Se Pu, 2024, 42, 935–942 CAS.
T. Kurihara, N. Esaki and K. Soda, J. Mol. Catal. B: Enzym., 2000, 10, 57–65 CrossRefCAS.
A. Adamu, R. A. Wahab, F. Aliyu, A. H. Aminu, M. M. Hamza and F. Huyop, Process Biochem., 2020, 92, 437–446 CrossRef.
S. Zakary, H. Oyewusi and F. Huyop, Journal of Tropical Life Science, 2021, 11, 67–77 CrossRef.
Y. Wang, Y. Feng, X. Cao, Y. Liu and S. Xue, Sci. Rep., 2018, 8, 1454 CrossRef.
Y. Wang, Q. Xiang, Q. Zhou, J. Xu and D. Pei, Front. Microbiol., 2021, 12, 758886 CrossRef.
P. W. Y. Chan, N. Chakrabarti, C. Ing, O. Halgas, T. K. W. To, M. Wälti, A.-P. Petit, C. Tran, A. Savchenko, A. F. Yakunin, E. A. Edwards, R. Pomès and E. F. Pai, ChemBioChem, 2022, 23, e202100414 CrossRefCASPubMed.
W. Y. Chan, M. Wong, J. Guthrie, A. V. Savchenko, A. F. Yakunin, E. F. Pai and E. A. Edwards, Microb. Biotechnol., 2010, 3, 107–120 CrossRefCASPubMed.
Y. Chiba, T. Yoshida, N. Ito, H. Nishimura, C. Imada, H. Yasuda and Y. Sako, Microbes and Environments, 2009, 24, 276–279 CrossRefPubMed.
L. Zulkarnain and F. Huyop, Journal of Tropical Life Science, 2023, 13, 369–376 CrossRef.
Z. Z. Zaidi and F. Huyop, Biosaintifika: Journal of Biology & Biology Education, 2021, 13, 1–8 Search PubMed.
H. A. Oyewusi, F. Huyop and R. A. Wahab, Gene Rep., 2021, 25, 101381 CrossRefCAS.
H. A. Oyewusi, R. A. Wahab, Y. Kaya, M. F. Edbeib and F. Huyop, Catalysts, 2020, 10, 651 CrossRefCAS.
Y. Wang, J. Zhao, J. Bian, R. Li, S. Xu, R. Liu, Y.-Y. Li, H. Liu and J. Qu, Environ. Sci. Technol., 2025, 59, 11121–11131 CrossRefCASPubMed.
Z. J. Chen, Y. N. Qu, J. J. Lu, S. Y. Li, G. Ai, X. Z. Shi, L. Q. Zeng, X. L. Liu and D. Lu, Genet. Resour. Crop Evol., 2025, 72, 2665–2684 CrossRefCAS.
H. A. Oyewusi, K. A. Akinyede, R. Abdul Wahab and F. Huyop, J. Biomol. Struct. Dyn., 2023, 41, 319–335 CrossRefCASPubMed.
Y. Yue, J. Chen, L. Bao, J. Wang, Y. Li and Q. Zhang, Chemosphere, 2020, 254, 126803 CrossRefCASPubMed.
C. E. Hatton, L. Falkenburg and P. Mehrabi, A mutation at the dimer interface regulates enzyme catalysis, bioRxiv, 2025, preprint, DOI:10.1101/2025.04.29.650001.
K.-W. Chen, J.-N. Chen, J. Zhang, C. Wang, T.-Y. Sun and Y.-D. Wu, Sci. China: Chem., 2024, 67, 2382–2391 CrossRefCAS.
A. N. Khusnutdinova, K. A. Batyrova, G. Brown, T. Fedorchuk, Y. S. Chai, T. Skarina, R. Flick, A.-P. Petit, A. Savchenko, P. Stogios and A. F. Yakunin, FEBS J., 2023, 290, 4966–4983 CrossRefCAS.
Y. Yue, J. Fan, G. Xin, Q. Huang, J.-b. Wang, Y. Li, Q. Zhang and W. Wang, Environ. Sci. Technol., 2021, 55, 9817–9825 CrossRefCASPubMed.
H. Kang and M. Zheng, Comput. Theor. Chem., 2021, 1204, 113399 CrossRefCAS.
S. Chetverikov, G. Hkudaygulov, D. Sharipov, S. Starikov and D. Chetverikova, Toxics, 2023, 11, 1001 CrossRefCAS.
J. D. Harris, C. M. Coon, M. E. Doherty, E. A. McHugh, M. C. Warner, C. L. Walters, O. M. Orahood, A. E. Loesch, D. C. Hatfield, J. C. Sitko, E. A. Almand and J. J. Steel, Synth. Syst. Biotechnol., 2022, 7, 671–676 CrossRefPubMed.
S. Farajollahi, N. V. Lombardo, M. D. Crenshaw, H.-B. Guo, M. E. Doherty, T. R. Davison, J. J. Steel, E. A. Almand, V. A. Varaljay, C. Suei-Hung, P. A. Mirau, R. J. Berry, N. Kelley-Loughnane and P. B. Dennis, ACS Omega, 2024, 9, 28546–28555 CrossRefCASPubMed.
E. Y. Fernando, A megaplasmid-borne MhPC superfamily novel defluorinase in Rhodococcus jostii RHA1 is essential for defluorination of the PFAS compound 6:2 fluorotelomer carboxylic acid (6:2 FTCA), bioRxiv, 2025, preprint, DOI:10.1101/2025.04.16.649145.
P. R. Jaffé, S. Huang, J. Park, M. Ruiz-Urigüen, W. Shuai and M. Sima, in Methods in Enzymology, ed. R. B. Stockbridge, Academic Press, 2024, vol. 696, pp. 287–320 Search PubMed.
S. Chetverikov, G. Hkudaigulov, D. Sharipov and S. Starikov, Toxics, 2024, 12, 930 CrossRefCAS.
L. E. X. Leong, S. E. Denman, S. Kang, S. Mondot, P. Hugenholtz and C. S. McSweeney, Anim. Biosci., 2024, 37, 396–403 CrossRefCASPubMed.
S. Kang, S. Khan, R. Webb, S. Denman and C. McSweeney, FEMS Microbiol. Ecol., 2020, 96CrossRefCASPubMed.
B. Haschimi, F. Willecke, S. Mundinger, W. Hüttel, H. Jessen, M. Müller and V. Auwärter, Drug Metab. Dispos., 2024, 52, 337–344 CrossRefCAS.
M. Cheng, D. Pei, X. He, Y. Liu, P. Zhu and X. Yan, Appl. Environ. Microbiol., 2021, 87, e02652 CAS.
J.-C. Chae and G. J. Zylstra, J. Bacteriol., 2006, 188, 8407–8412 CrossRefCAS.
J.-C. Chae, Y. Kim, Y.-C. Kim, G. J. Zylstra and C.-K. Kim, Gene, 2000, 258, 109–116 CrossRefCAS.
Y. Nagata, A. Futamura, K. Miyauchi and M. Takagi, J. Bacteriol., 1999, 181, 5409–5413 CrossRefCASPubMed.
C. E. Castro and E. W. Bartnicki, Biochemistry, 1968, 7, 3213–3218 CrossRefCASPubMed.
J. E. van Hylckama Vlieg, L. Tang, J. H. Lutje Spelberg, T. Smilda, G. J. Poelarends, T. Bosma, A. E. van Merode, M. W. Fraaije and D. B. Janssen, J. Bacteriol., 2001, 183, 5058–5066 CrossRefCAS.
I. Gul, T. Fantaye Bogale, J. Deng, L. Wang, J. Feng and L. Tang, J. Biotechnol., 2020, 311, 19–24 CrossRefCAS.
J. Solarczek, F. Kaspar, P. Bauer and A. Schallmey, Chem.–Eur. J., 2022, 28, e202202343 CrossRefCASPubMed.
J. Wessel, G. Petrillo, M. Estevez-Gay, S. Bosch, M. Seeger, W. P. Dijkman, J. Iglesias-Fernández, A. Hidalgo, I. Uson, S. Osuna and A. Schallmey, FEBS J., 2021, 288, 4683–4701 CrossRefCAS.
M. Schallmey, J. Koopmeiners, E. Wells, R. Wardenga and A. Schallmey, Appl. Environ. Microbiol., 2014, 80, 7303–7315 CrossRefPubMed.
A. Schallmey and M. Schallmey, Appl. Microbiol. Biotechnol., 2016, 100, 7827–7839 CrossRefCAS.
M. Estévez-Gay, J. Iglesias-Fernández and S. Osuna, Catalysts, 2020, 10, 1403 CrossRef.
J. Song, C. Zhou, X. Chen, Y. Gu, F. Xue, Q. Wu and D. Zhu, Catal.
Sci. Technol., 2024, 14, 1967–1976 RSC.
F. Xue, L.-H. Zhang and Q. Xu, Appl. Microbiol. Biotechnol., 2020, 104, 2067–2077 CrossRefCASPubMed.
M. Staar, L. Ahlborn, M. Estévez-Gay, K. Pallasch, S. Osuna and A. Schallmey, ACS Catal., 2024, 14, 15976–15987 CrossRefCASPubMed.
X.-J. Zhang, M.-Y. Huang, X.-X. Peng, M. Cao, H.-Z. Deng, Y.-C. Gong, X.-L. Tang, Z.-Q. Liu and Y.-G. Zheng, Biotechnol. Lett., 2024, 46, 699–711 CrossRefCAS.
S. Staar, M. Estévez-Gay, F. Kaspar, S. Osuna and A. Schallmey, ACS Catal., 2025, 15, 5257–5272 CrossRefCASPubMed.
J. Ding, J. Song, S. Huang, C. Zhou and F. Xue, Bioorg. Chem., 2025, 157, 108292 CrossRefCASPubMed.
N. Wan, J. Tian, X. Zhou, H. Wang, B. Cui, W. Han and Y. Chen, Adv. Synth. Catal., 2019, 361, 4651–4655 CrossRefCAS.
C. Zhou, X. Chen, T. Lv, X. Han, J. Feng, W. Liu, Q. Wu and D. Zhu, ACS Catal., 2023, 13, 4768–4777 CrossRefCAS.
N. Wan, X. Zhou, R. Ma, J. Tian, H. Wang, B. Cui, W. Han and Y. Chen, Adv. Synth. Catal., 2020, 362, 1201–1207 CrossRefCAS.
M. Staar and A. Schallmey, Biotechnol. Bioeng., 2023, 120, 3210–3223 CrossRefCASPubMed.
F.-R. Zhang, N.-W. Wan, J.-M. Ma, B.-D. Cui, W.-Y. Han and Y.-Z. Chen, ACS Catal., 2021, 11, 9066–9072 CrossRefCAS.
M. Staar, S. Henke, W. Blankenfeldt and A. Schallmey, ChemCatChem, 2022, 14, e202200145 CrossRefCAS.
K. Xu, Y. Tian, H. Pan, J. Zhu, Q. Liu, X. Tang, R. Zheng and Y. Zheng, ACS Appl. Nano Mater., 2025, 8, 3029–3038 CrossRefCAS.
P. Chen, R. Li, F. Lu, Y. Zhao and L. Wang, Microchem. J., 2024, 206, 111561 CrossRefCAS.
S. Roselli, T. Nadalig, S. Vuilleumier and F. Bringel, PLoS One, 2013, 8, e56598 CrossRefCAS.
S. Vuilleumier, N. Ivoš, M. Dean and T. Leisinger, Microbiology, 2001, 147, 611–619 CrossRefCASPubMed.
J. Ni, L. Ying, S. Chenjia, C. Dongzhi, X. Yueyong and Q. Liu, Biotechnol. Biotechnol. Equip., 2020, 34, 1065–1076 CrossRefCAS.
M. Wu, D. Zhao, B. Gu, Z. Wang, J. Hu, Z. Yu and J. Yu, J. Environ. Sci., 2024, 139, 150–159 CrossRefCASPubMed.
S. F. Kirkinci, M. F. Edbeib, H. M. Aksoy, S. Marakli and Y. Kaya, Polar Sci., 2021, 28, 100656 CrossRef.
Y. Fu, J. Huang, Y. Wu, X. Liu, F. Zhong and J. Wang, J. Am. Chem. Soc., 2021, 143, 617–622 CrossRefCASPubMed.
C. Sánchez, L. Zhu, A. F. Braña, A. P. Salas, J. Rohr, C. Méndez and J. A. Salas, Proc. Natl. Acad. Sci. U. S. A., 2005, 102, 461–466 CrossRef.
W. Runguphan, X. Qu and S. E. O'Connor, Nature, 2010, 468, 461–464 CrossRefCAS.
B. R. K. Menon, E. Brandenburger, H. H. Sharif, U. Klemstein, S. A. Shepherd, M. F. Greaney and J. Micklefield, Angew Chem. Int. Ed. Engl., 2017, 56, 11841–11845 CrossRefCAS.
A. Deb Roy, S. Grüschow, N. Cairns and R. J. Goss, J. Am. Chem. Soc., 2010, 132, 12243–12245 CrossRefPubMed.
S. V. Sharma, X. Tong, C. Pubill-Ulldemolins, C. Cartmell, E. J. A. Bogosyan, E. J. Rackham, E. Marelli, R. B. Hamed and R. J. M. Goss, Nat. Commun., 2017, 8, 229 CrossRefPubMed.
H.-Y. Liu, F. Qian, H.-M. Zhang, Q. Gui, Y.-W. Wang and P. Wang, Biotechnol. J., 2024, 19, 2300557 CrossRefCAS.
N. Milne, J. Sáez-Sáez, A. M. Nielsen, J. D. Dyekjær, D. Rago, M. Kristensen, T. Wulff and I. Borodina, ChemistryOpen, 2023, 12, e202200266 CrossRefCASPubMed.
V. R. M. Putri, M.-H. Jung, J.-Y. Lee, M.-H. Kwak, T. C. Mariyes, A. Kerbs, V. F. Wendisch, H. J. Kong, Y.-O. Kim and J.-H. Lee, Microb. Cell Factories, 2024, 23, 147 CrossRefCASPubMed.
K. B. Reed, S. M. Brooks, J. Wells, K. J. Blake, M. Zhao, K. Placido, S. d'Oelsnitz, A. Trivedi, S. Gadhiyar and H. S. Alper, Nat. Commun., 2024, 15, 3188 CrossRefCASPubMed.
P. Calero, D. C. Volke, P. T. Lowe, C. H. Gotfredsen, D. O'Hagan and P. I. Nikel, Nat. Commun., 2020, 11, 5045 CrossRefCASPubMed.
Y. Zhou, J. Wang, Z. Gu, S. Wang, W. Zhu, J. L. Aceña, V. A. Soloshonok, K. Izawa and H. Liu, Chem. Rev., 2016, 116, 422–518 CrossRefCAS.
X. Jin, C. Huang, C. Cui, H. Liu, Z. Liu, D. Niu and Y. Luo, ACS Sustain. Chem. Eng., 2024, 12, 13645–13653 CrossRefCAS.
C. Huang, X. Jin, Y. Kan, C. Cui, L. Wei, H. Liu, D. Niu and Y. Luo, ACS Sustain. Chem. Eng., 2025, 13, 1637–1647 CrossRefCAS.
C. Huang, X. Jin, Z. Liu, C. Cui, Y. Zhang, B. Wang, C. Zhang, J. Feng, D. Niu and Y. Luo, Nat. Commun., 2025, 16, 5753 CrossRefPubMed.
A. S. Eustáquio, D. O'Hagan and B. S. Moore, J. Nat. Prod., 2010, 73, 378–382 CrossRefPubMed.
K. Markakis, P. T. Lowe, L. Davison-Gates, D. O'Hagan, S. J. Rosser and A. Elfick, ChemBioChem, 2020, 21, 1856–1860 CrossRefCASPubMed.
N. T. Wirth and P. I. Nikel, Chem Catal., 2021, 1, 1234–1259 CAS.
Q. Zhao, Z. Chen, J. Soler, X. Chen, J. Rui, N. T. Ji, Q. E. Yu, Y. Yang, M. Garcia-Borràs and X. Huang, Nat. Synth., 2024, 3, 958–966 CrossRefCASPubMed.
D. Wu, S. Wang, H. Zhang, H. Ke, Z. Sun, S. Xie, Y. Gao, J. Yang, B. Wang and X. Lei, J. Am. Chem. Soc., 2025, 147, 25508–25516 CrossRefCASPubMed.
J. Lee, J. Kim, J. E. Song, W.-S. Song, E.-J. Kim, Y.-G. Kim, H.-J. Jeong, H. R. Kim, K.-Y. Choi and B.-G. Kim, Nat. Chem. Biol., 2021, 17, 104–112 CrossRefCASPubMed.
B. Yi, B. W. Lee, K. Yu, H. G. Koh, Y.-H. Yang, K.-Y. Choi, B.-G. Kim, J.-O. Ahn, K. Park and S.-H. Park, Biotechnol. Bioprocess Eng., 2024, 29, 806–814 CrossRefCAS.
N. S. Hasan, J. G. Ling, M. F. A. Bakar, W. M. K. W. Seman, A. M. A. Murad, F. D. A. Bakar and R. M. Khalid, Appl. Biochem. Biotechnol., 2023, 195, 6708–6736 CrossRefCASPubMed.
C. Dong, F. Huang, H. Deng, C. Schaffrath, J. B. Spencer, D. O'Hagan and J. H. Naismith, Nature, 2004, 427, 561–565 CrossRefCASPubMed.
D. L. Zechel, S. P. Reid, O. Nashiru, C. Mayer, D. Stoll, D. L. Jakeman, R. A. J. Warren and S. G. Withers, J. Am. Chem. Soc., 2001, 123, 4350–4351 CrossRefCASPubMed.
M. Pavlova, M. Klvana, Z. Prokop, R. Chaloupkova, P. Banas, M. Otyepka, R. C. Wade, M. Tsuda, Y. Nagata and J. Damborsky, Nat. Chem. Biol., 2009, 5, 727–733 CrossRefCASPubMed.
T. Bosma, E. Kruizinga, E. J. de Bruin, G. J. Poelarends and D. B. Janssen, Appl. Environ. Microbiol., 1999, 65, 4575–4581 CrossRefCAS.
M. I. Arif, G. Samin, J. G. van Leeuwen, J. Oppentocht and D. B. Janssen, Appl. Environ. Microbiol., 2012, 78, 6128–6136 CrossRefCASPubMed.
G. Samin, M. Pavlova, M. I. Arif, C. P. Postema, J. Damborsky and D. B. Janssen, Appl. Environ. Microbiol., 2014, 80, 5467–5476 CrossRefPubMed.
E. Martínez-García, P. I. Nikel, T. Aparicio and V. de Lorenzo, Microb. Cell Fact., 2014, 13, 159 CrossRefPubMed.
J. G. van Leeuwen, H. J. Wijma, R. J. Floor, J. M. van der Laan and D. B. Janssen, Chembiochem, 2012, 13, 137–148 CrossRefCASPubMed.
T. Gong, X. Xu, Y. Che, R. Liu, W. Gao, F. Zhao, H. Yu, J. Liang, P. Xu, C. Song and C. Yang, Sci. Rep., 2017, 7, 7064 CrossRefPubMed.
K. J. Picott, R. Flick and E. A. Edwards, Appl. Environ. Microbiol., 2022, 88, e01993 CAS.
R. Rahmatullah and C. P. Marquis, Enzyme Microb. Technol., 2024, 174, 110390 CrossRefCASPubMed.
T. Halliwell, K. Fisher, K. A. P. Payne, S. E. J. Rigby and D. Leys, Microorganisms, 2020, 8, 1344 CrossRefCASPubMed.
K. Fisher, T. Halliwell, K. A. P. Payne, G. Ragala, S. Hay, S. E. J. Rigby and D. Leys, J. Biol. Chem., 2023, 299CAS.
M. Slanska, L. Stackova, S. M. Marques, P. Stacko, M. Martínek, L. Jílek, M. Toul, J. Damborsky, D. Bednar, P. Klán and Z. Prokop, ACS Catal., 2024, 14, 11635–11645 CrossRefCASPubMed.
E. Ratnaningsih, S. I. Sukandar, R. M. Putri, G. T. M. Kadja and I. G. Wenten, Heliyon, 2022, 8CrossRefCASPubMed.
E. Ratnaningsih, S. U. Khanifah, W. O. S. Rizki, I. Ihsanawati and N. N. Khoiriyah, ACS Omega, 2025, 10, 20160–20170 CrossRefCASPubMed.
N. Gelfand, V. Orel, W. Cui, J. Damborský, C. Li, Z. Prokop, W. J. Xie and A. Warshel, J. Am. Chem. Soc., 2025, 147, 2747–2755 CrossRefCASPubMed.
L. Shen, L. Hu, J. Qi, W. Yu, A. Luo and T. Hu, Appl. Biochem. Biotechnol., 2025, 197, 1662–1677 CrossRefCASPubMed.
M. Wang, W. Yu, L. Shen, H. Zheng, X. Guo, J. Zhong and T. Hu, J. Biotechnol., 2021, 335, 47–54 CrossRefCASPubMed.
Y. Wu and Y. Sun, Chin. J. Chem. Eng., 2024, 65, 276–285 CrossRefCAS.
Y. Wu and Y. Sun, ACS Appl. Mater. Interfaces, 2024, 16, 35566–35575 CrossRefCAS.
J. Chen, X. Ming, Z. Guo, Y. Shi, M. Li, Z. Guo, Y. Xin, Z. Gu, L. Zhang and X. Guo, Catalysts, 2022, 12, 825 CrossRefCAS.
H.-B. Guo, V. A. Varaljay, G. Kedziora, K. Taylor, S. Farajollahi, N. Lombardo, E. Harper, C. Hung, M. Gross, A. Perminov, P. Dennis, N. Kelley-Loughnane and R. Berry, Sci. Rep., 2023, 13, 4082 CrossRefCASPubMed.
N. P. Kurumbang, P. Dvorak, J. Bendl, J. Brezovsky, Z. Prokop and J. Damborsky, ACS Synth. Biol., 2014, 3, 172–181 CrossRefCASPubMed.
T. Halliwell, K. Fisher, K. A. P. Payne, S. E. J. Rigby and D. Leys, Protein Expression Purif., 2021, 177, 105743 CrossRefCASPubMed.
X. Xiao, J. Wang and K. Ding, Cell, 2025, 188, 1175–1177 CrossRefCASPubMed.
J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. J. Ballard, J. Bambrick, S. W. Bodenstein, D. A. Evans, C. C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Zemgulyte, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. I. Cowen-Rivers, A. Cowie, M. Figurnov, F. B. Fuchs, H. Gladman, R. Jain, Y. A. Khan, C. M. R. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. T. R. E. Tong, S. Yakneen, E. D. Zhong, M. Zielinski, A. Zidek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis and J. M. Jumper, Nature, 2024, 630(8016), 493–500 CrossRefCASPubMed.
J. L. Watson, D. Juergens, N. R. Bennett, B. L. Trippe, J. Yim, H. E. Eisenach, W. Ahern, A. J. Borst, R. J. Ragotte, L. F. Milles, B. I. M. Wicky, N. Hanikel, S. J. Pellock, A. Courbet, W. Sheffler, J. Wang, P. Venkatesh, I. Sappington, S. V. Torres, A. Lauko, V. De Bortoli, E. Mathieu, S. Ovchinnikov, R. Barzilay, T. S. Jaakkola, F. DiMaio, M. Baek and D. Baker, Nature, 2023, 620, 1089–1100 CrossRefCASPubMed.
N. Singh, S. Lane, T. Yu, J. Lu, A. Ramos, H. Cui and H. Zhao, Nat. Commun., 2025, 16, 5648 CrossRefPubMed.