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Screening and identification of a new antimicrobial, Streptomyces rehmanniae, from the rhizosphere of Rehmannia glutinosa

Hairong Hea, Tong Wanga, Jiaqi Lia, Chen Suna, Zhaoxu Mab, Zhenzhu Zhaoa, Xiaoke Zheng*a and Pengqiang Du*c
aCollege of Pharmacy, Henan University of Chinese Medicine, Zhengzhou 450046, China. E-mail: zhengxk.2006@163.com
bCollege of Life Science, China West Normal University, Nanchong City, Sichuan 637009, China
cCollege of Plant Protection, Henan Agricultural University, Zhengzhou 450046, China. E-mail: dupengq@163.com

Received 17th October 2025 , Accepted 23rd March 2026

First published on 13th April 2026


Abstract

Objectives: we aimed to isolate and characterize antimicrobial-producing strains from the rhizosphere soil of Rehmannia glutinosa, with the goal of identifying novel antimicrobial agents to address the escalating crisis of antimicrobial resistance. Methods: strain Rer75 was isolated from rhizosphere soil and characterized based on morphology, phylogenetic analyses, average nucleotide identity (ANI), and digital DNA–DNA hybridization (dDDH). Bioactive compounds were extracted and purified from the strain. The antimicrobial activity of isolated compounds was evaluated against E. coli CGMCC 1.1521, S. aureus ATCC 25923, and the pathogenic fungus B. berengeriana CFCC 85789. Genome mining was performed using antiSMASH to identify biosynthetic gene clusters (BGCs). Inhibition of key genes in the nigericin-like gene cluster was performed to elucidate the relationship between the antibacterial activity of the strain and the gene cluster. Results: strain Rer75, identified as a novel species named “Streptomyces rehmanniae”, exhibited strong antagonistic activity against six types of plant pathogenic fungi. Seven compounds were isolated from its crude extract, including a new unsaturated hydroxy ester (compound 1) and six known compounds (compounds 2–7). Compound 1 showed moderate antibacterial activity against E. coli and S. aureus, but no activity against B. berengeriana. Genomic analyses revealed 40 BGCs encoding polyketides, nonribosomal peptides, and terpenes, many of which displayed low similarity to known clusters. Notably, the nigericin-like BGC No. 37 was essential for the antibacterial activity of the strain. Conclusions: Streptomyces rehmanniae Rer75 is a promising source of novel antimicrobial compounds. The genomic insights into its diverse and unique biosynthetic potential highlight its ecological and biotechnological importance for developing new antimicrobial agents.


1 Introduction

Antimicrobial resistance (AMR) has emerged as one of the greatest global concerns in the 21st century. It occurs when pathogens, including bacteria, fungi, parasites, and viruses, adapt and become resistant to drugs (e.g., antibiotics).1,2 It has been reported that AMR-related deaths surpassed 1.2 million in 2019, and projections warn of a staggering increase to 10 million by 2050 if containment efforts remain inadequate.1

One major contributing factor is the irresponsible use of antibiotics across multiple sectors, including human medicine, agriculture, animal health, and the food industry.2 Other important reasons include the rapid growth of AMR infection rates and the lack of new antimicrobial medications being introduced to combat this issue.1 Thus, the discovery and development of novel antimicrobial compounds is an immediate priority.

Plant diseases caused by fungal and bacterial phytopathogens is a significant challenge in agriculture. Chemical control is the main approach for managing plant diseases.3 In crops in which chemical pesticides are not used, global losses due to plant diseases are estimated to be nearly 20%.4,5 However, the irrational use of chemical pesticides has led to increased microbial resistance.6 At the same time, pesticide residues in the environment pose threats to human and environmental health, compelling us to seek eco-friendly biopesticides and novel antimicrobial agents for the biocontrol of plant diseases.

Streptomyces species are the primary source of bioactive specialized metabolites used in research and medicine. They include many antimicrobials, mostly beneficial microorganisms that are abundant in plant rhizosphere soil.7 In recent years, rhizosphere Streptomyces species have attracted considerable attention for biological control of pathogen growth through the release of antibiotics, antimicrobial peptides, and the induction of systemic resistance of plants.8,9 Thus, Streptomyces species are important sources for the isolation of new compounds as clinical drugs. However, over the past half century, the screening of common Streptomyces strains has led to repeated isolation of known active compounds, making it challenging to discover new active compounds.10 Therefore, an important approach to address these concerns is to mine new Streptomyces strains and search for novel genes and products.11

During an ongoing study investigating bioactive compound-producing actinomycetes, a Streptomyces-like strain, designated “strain Rer75”, was isolated from the rhizosphere of Rehmannia glutinosa, a widely used traditional Chinese herb with very high medicinal value.12 Morphological characteristics, phenotypic properties, chemotaxonomic characteristics, and genomic data were used to characterize the taxonomic position of strain Rer75 that was identified as a new species of Streptomyces. Besides, the medium for fermentation of novel compounds was selected, and compounds isolated from Rer75 were tested for their antimicrobial activities. In our study, the new strain Rer75 is a potential material for the isolation of novel antimicrobial compounds. Its genome sequence data will be useful to elucidate the biosynthetic and regulatory mechanisms for the secondary metabolites that could be used in biotechnology and natural product biosynthesis.

2 Materials and methods

2.1 Antifungal activity assay of strain Rer75

Strain Rer75 was isolated from the rhizosphere soil of R. glutinosa12 and deposited in the China Center for Type Culture Collection (CCTCC NO. M 20231749) (Fig. S1). Strain Rer75 was cultured on ISP 3 medium at 28 °C for 6 d prior to antifungal assays. Its antagonistic activity against six fungal pathogens (Botryosphaeria berengeriana CFCC 85789, Verticillium dahliae Kleb. ACCC 36203, Fusarium graminearum Schw. ACCC 37408, Colletotrichum orbiculare ACCC 36060, Exserohilum turcicum CGMCC 3.7336, Fusarium oxysporum CGMCC 3.18025) was tested via the dual-culture method on V8 medium. Fungal pathogens were pre-cultured on V8 medium at 28 °C for 7 d. For the assay, Rer75 was spot-inoculated on one side of a V8 plate and incubated at 28 °C for 3 d, after which a 7-mm mycelial plug of each pathogen was placed perpendicular to the Rer75 colony. Following 5–7 d of co-incubation, antifungal activity was calculated as described previously.13

2.2 Taxonomic characterization of strain Rer75

Chromosomal DNA was extracted and PCR-amplified following standard protocols. The purified PCR product was cloned into the pMD19-T vector (Takara Biotechnology) and sequenced on the Applied Biosystems 3730XL DNA sequencer. The near full-length 16 S rRNA gene sequence (1527 bp) was subjected to similarity analyses using the EzBioCloud database (https://www.ezbiocloud.net). Sequence alignment was conducted with CLUSTAL X 1.83 against GenBank/EMBL/DDBJ reference sequences with complete deletion of gaps and missing data. A neighbor-joining phylogenetic tree was constructed in MEGA X under the Kimura two-parameter model,14 with topological stability evaluated by 1000 bootstrap replicates. A whole-genome phylogenetic tree was built using the Type Strain Genome Server (TYGS). Digital DNA–DNA hybridization (dDDH) values were calculated for taxonomic assignment.15 Average nucleotide identity (ANI) values between strain Rer75 and its closely related species were determined via JSpeciesWS.16

2.3 Morphological, physiological, and chemotaxonomic characterizations

Morphological characteristics were observed on diverse media (ISP series, Bennett's, and nutrient agar) after 14-d incubation at 28 °C. Spore morphology was examined via scanning electron microscopy (Hitachi SU8010). The growth profile of strain Rer75 was evaluated at 4, 10, 20, 25, 28, 37, 40 and 45 °C on ISP 3 agar over 14 d. Tolerance to pH (2–12, 1-unit intervals) and NaCl (0–10%, 1-unit intervals) was assessed in GY broth with rotary shaking at 28 °C for 14 d. Physiological traits, including utilization of sole carbon/nitrogen sources (0.5% w/v), milk peptonization and coagulation, cellulose decomposition, nitrate reduction, gelatin liquefaction, H2S and protease production, tween hydrolysis and urease activity were determined following established protocols.17 Chemotaxonomic analyses (cell-wall amino acids, whole-cell glycogen, polar lipids, menaquinones) were performed as described.18,19

2.4 Whole genome sequencing and analyses for the secondary metabolites of Rer75

Strain Rer75 was cultured in ISP 2 liquid medium for 3 d at 28 °C to obtain mycelia. Genomic DNA was extracted using the Invitrogen PureLink® Genomic DNA Kit, and its quality and quantity were assessed using the NanoDrop ND-1000 Spectrophotometer (Thermo Fisher Scientific). Upon confirmation of high-quality DNA, whole-genome sequencing was performed on the nanopore sequencing platform. The genome was assembled de novo with Canu and polished with Pilon.20,21 Annotation was done using NCBI PGAP and RAST 2.0.22,23 Biosynthetic gene clusters (BGCs) were predicted with antiSMASH v6.0.24

2.5 Repressed expression core gene in gene cluster no. 37

To verify the function of gene cluster no. 37 (a nigericin-like cluster with 90% identity), a CRISPR-Cpf1-mediated gene inhibitory plasmid pSETddCpf1 was employed.25 Based on the PAM sequence (TTV) recognized by Cpf1, appropriate sgRNA sequences were screened in the open reading frame of ctg_8048 (the core gene of cluster no. 37). Using pSETddCpf1 as a template, crRNA expression cassette fragments were amplified with primer cr-RNA-F and specific primer R8048R containing 23-base sgRNA fragments (Table 1). The amplified fragment was double-digested with NdeI and SpeI, then ligated into the corresponding sites of pSETddCpf1 using T4 DNA ligase to construct the gene suppression plasmid pSETddCpf1-R8048. This plasmid was introduced into strain Rer75 via conjugation to generate candidate exconjugants. Primers Apr-SE and Apr-AN were employed to amplify the antibiotic resistance gene (ApmR) that stabilizes genomic integration of the plasmid (Table 1), yielding positive exconjugants. Positive exconjugant Rer75-R8048 and the wild-type strain Rer75 were fermented separately. Bioactivity assays were conducted to compare broth activity differences, clarifying the role of the target cluster in metabolite synthesis and activity regulation. In addition, the plate confrontation assay was performed to verify the antifungal activity of the metabolites synthesized by this gene cluster.
Table 1 Primers used in this study
Primer Sequences
cr-RNA-F GGAATTCCATATGTGGATCCTACCAACCGGCACGATT
R8048-R GACTAGTCGTGCGGCGGAGGAGCGCGTCAAATCTACAACAGTAGAAATTTGG
Apr-SE CATGCCCTCGTGGTCAGGT
Apr-AN TCTTCGCATCCCGCCTCT


2.6 Screening medium for isolation compounds

Rer75 was fermented in eight media (GYM I, GYM III, ISP 2, HZ-2, GY, HZ-1, MB, H9) (Table S1). The antimicrobial activity of extracts (supernatant and pellet) from each medium was tested against bacterial (E. coli CGMCC 1.1521 and S. aureus ATCC 25923) and fungal (B. berengeriana and F. graminearum Schw) indicators via disc diffusion assays. The medium that yielded the strongest activity was selected for large-scale fermentation.

2.7 Fermentation, extraction, and isolation of compounds

Large-scale fermentation was performed in 50 L of H9 medium. The broth was centrifuged, and the supernatant was extracted with ethyl acetate. The mycelial pellet was extracted with methanol. The combined crude extract (34 g) was fractionated using medium-pressure liquid chromatography (MPLC) with a methanol–water gradient (v/v 20[thin space (1/6-em)]:[thin space (1/6-em)]80, 40[thin space (1/6-em)]:[thin space (1/6-em)]60, 60[thin space (1/6-em)]:[thin space (1/6-em)]40, 80[thin space (1/6-em)]:[thin space (1/6-em)]20, 100[thin space (1/6-em)]:[thin space (1/6-em)]0, each 3000 mL), yielding five fractions (a–e). These fractions were further purified using silica gel chromatography (Sephadex LH-20 column) and preparative HPLC to isolate seven compounds (1–7).

Fraction a (3.6 g) was further separated on silica gel and eluted with petroleum ether-acetone (v/v 100[thin space (1/6-em)]:[thin space (1/6-em)]10, 100[thin space (1/6-em)]:[thin space (1/6-em)]20) to yield six subfractions (a1–a6). Subfraction a1 was subsequently purified using prep-HPLC (C-18) with a gradient eluent [acetonitrile-water (MeCN–H2O) v/v, 70[thin space (1/6-em)]:[thin space (1/6-em)]20 to 100[thin space (1/6-em)]:[thin space (1/6-em)]0, over 30 min, flow rate = 3 mL min−1], resulting in the isolation of compounds 1 (2.1 mg, tR = 13 min), 2 (1.3 mg, tR = 18 min), 3 (1.6 mg, tR = 25 min).

Fraction b (0.6 g) was subjected to a Sephadex LH-20 column (MeOH) to yield three subfractions (b1–b3). Subfraction b2 was subsequently purified using prep-HPLC (C-18) with a gradient eluent [MeCN–H2O v/v, 25[thin space (1/6-em)]:[thin space (1/6-em)]75 to 75[thin space (1/6-em)]:[thin space (1/6-em)]25, over 25 min, flow rate = 3 mL min−1], yielding compound 4 (1.8 mg, tR = 21 min).

Fraction c (3.5 g) was fractionated using a Sephadex LH-20 column in methanol to give four subfractions (c1–c4). Compound 5 (1.4 mg, tR = 15 min) and compound 6 (2.1 mg, tR = 21 min) were purified from subfraction c4 using prep-HPLC (C-18) with gradient elution [MeCN–H2O v/v, 25[thin space (1/6-em)]:[thin space (1/6-em)]75 to 65[thin space (1/6-em)]:[thin space (1/6-em)]35, over 27 min, flow rate = 3 mL min−1].

Fraction e (2.5 g) was fractionated using a Sephadex LH-20 column in methanol to give three subfractions (e1–e3). Compound 7 (1.2 mg, tR = 12 min) was purified from subfraction e2 using prep-HPLC (C-18) with gradient elution [MeCN–H2O v/v, 80[thin space (1/6-em)]:[thin space (1/6-em)]20 to 20[thin space (1/6-em)]:[thin space (1/6-em)]80, over 27 min, flow rate = 3 mL min−1].

HPLC (C-18) with gradient elution [MeCN–H2O v/v, 10[thin space (1/6-em)]:[thin space (1/6-em)]90 to 100[thin space (1/6-em)]:[thin space (1/6-em)]0, over 27 min, flow rate = 0.8 mL min−1] was used to verify the purity of compounds.

2.8 Evaluation of antimicrobial and antifungal activities of the new compound

To assess antimicrobial activity, the minimum inhibitory concentration (MIC) method was used against a series of bacterial strains in accordance with Clinical and Laboratory Standards Institute (CLSI) recommendations.26,27 Briefly, serial two-fold dilutions of each test sample were prepared in sterile broth LB or PDB within a 96-well microplate, yielding a final concentration range of 0.125–200 µg mL−1. Ampicillin sodium and amphotericin B were employed as positive controls for antibacterial and antifungal activities, respectively. The inoculated microplate was then incubated at 37 °C or 30 °C under aerobic conditions for 24 h. After incubation, the MIC was defined as the lowest concentration of the test sample that elicited complete inhibition. The MIC was analyzed by measuring the absorbance at 600 nm or 450 nm using a microplate reader.27 Experiments were performed in triplicate to ensure data reproducibility. The compound was tested for efficacy against E. coli, S. aureus, and B. berengeriana.

2.9 Antibacterial mechanism

Compound 1 was mixed with logarithmic-phase E. coli at 2 × MIC (37.0 µg mL−1). Following 30 min of co-cultivation, the mixture was centrifuged to remove the supernatant, washed thrice with PBS, and fixed in 2 mL of 2.5% glutaraldehyde at 4 °C for 12 h. After dehydration using ethanol solutions (30%, 50%, 70%, 80%, 90%, 95%, and 100%, v/v), samples were subjected to critical point drying with liquid carbon dioxide to preserve bacterial ultrastructure. Dried samples were mounted on aluminum stubs and sputter-coated with a thin layer of gold to enhance electrical conductivity. Prepared samples were observed and imaged under a scanning electron microscope (Hitachi SU8010) at an acceleration voltage of 5 kV.28

2.10 Statistical analyses

Antimicrobial assays were performed thrice. Statistical analyses were performed using SPSS 27.0. Results are the mean ± standard error of the mean.

3 Results

3.1 Inhibition effect of Rer75 upon plant disease fungi

Strain Rer75 displayed potent broad-spectrum antifungal activity against six pathogenic fungi (Fig. 1A), with percent inhibition values of 43.3–78.3% (Fig. 1B). The highest value (78.3 ± 2.74%) was against E. turcicum (Fig. 1). This indicated that Rer75 produced broad-spectrum antifungal compounds that inhibited the mycelial growth of multiple pathogens, highlighting its research potential.
image file: d5ra07947k-f1.tif
Fig. 1 Broad-spectrum antimicrobial activities of Rer75. (A) Inhibitory effect of Rer75 against six types of fungi. (B) Statistical analyses of the percent inhibition of Rer75 for each pathogen.

3.2 Characterization of strain Rer75

Strain Rer75 was a Gram-positive, aerobic, non-motile actinobacterium forming branched substrate hyphae and aerial mycelia that differentiated into flexuous spore chains with smooth cylindrical spores (0.4–1 µm × 0.1–0.3 µm) (Fig. S2). It grew optimally on ISP 3, ISP 6, ISP 7 and Bennett's agar, forming white-to-grey colonies (Fig. S3). Optimal growth occurred at pH 7.0 (pH range = 6–8) and 28 °C (temperature range = 20–40 °C). Growth was observed at 0–4% NaCl, with the highest yield at 0% salinity. Physiologically, Rer75 was positive for protease, starch hydrolysis and catalase, but negative for tween 20/40/80 hydrolysis, cellulose decomposition, urease, H2S production and nitrate reduction. It utilized D-glucose, D-xylose, sucrose, D-mannose, meso-inositol, L-rhamnose, D-fructose, D-sorbitol, L-arabinose, D-galactose, lactose, mannitol, D-raffinose and D-maltose (not D-ribose) as sole carbon sources. It utilized L-alanine, L-asparagine, L-aspartic acid, creatine, L-glutamic acid, L-glutamine, L-proline, L-threonine and L-tyrosine (not D-arginine or L-serine) as sole nitrogen sources. The cell wall contained LL-diaminopimelic acid as the major component. Whole-cell sugars were galactose, mannose and rhamnose. Its phospholipid profile included diphosphatidylglycerol, phosphatidylmethylethanolamine, phosphatidylethanolamine and phosphatidylinositol (phospholipid type II sensu) (Fig. S4). The major menaquinones were MK-8 (15.2%), MK-8(H2) (18.6%), MK-9(H6) (29.6%) and MK-9(H8) (36.7%).

3.3 Phylogenetic and genomic analyses

The 16 S rRNA sequence of Rer75 (1527 bp; GenBank accession: OQ073463) showed the highest similarity (99.88%) to Streptomyces rimosus subsp. rimosus ATCC 10970T.29 Phylogenetic trees based on 16 S rRNA showed that Rer75 formed an independent branch, with its closest strains being Streptomyces himastatinicus ATCC 53653T (97.93%),30 and Streptomyces botrytidirepellens NEAU-LD23T (98.60%)31 (Fig. 2). Whole-genome phylogenetic analyses demonstrated that strain Rer75 formed an independent lineage in close association with S. botrytidirepellens NEAU-LD23T (Fig. 3). However, dDDH and ANI values between Rer75 and its closest relatives were below the recommended thresholds dDDH (<70%) and ANI (<95%) for species delineation32,33 (Fig. 3 and 4). Besides, the genomic information and phenotypic differences further distinguished it from related strains (Table 2). These results confirmed Rer75 to be a novel species, for which the name “Streptomyces rehmanniae” was proposed.
image file: d5ra07947k-f2.tif
Fig. 2 Neighbor-joining tree based on 16 S rRNA gene sequences showing the relationship between strain Rer75 (1527 bp) and related species of the genes of Streptomyces. Bootstrap percentages (≥50%) based on 1000 replications are listed at nodes. Bar, 0.0020 substitutions per nucleotide position.

image file: d5ra07947k-f3.tif
Fig. 3 Whole-genome sequence tree generated with TYGS for strain Rer75 and closely related Streptomyces species. Tree inferred with FastME from GBDP distances calculated from genome sequences. Branch lengths are scaled in terms of the GBDP distance formula d5; numbers above branches are GBDP pseudo-bootstrap support values from replications; digital DNA–DNA hybridization (dDDH) values are provided. T: type strain.

image file: d5ra07947k-f4.tif
Fig. 4 Average nucleotide identity (ANI) calculated using the BLAST-based orthoANI heatmaps of Rer75 and other closely related Streptomyces species.
Table 2 Differential characteristics of strain Rer75 and its closely related strainsa
Characteristic 1 2 3 4
a Strains: 1. Rer75; 2. Streptomyces rimosus subsp. rimosus NBRC 12907T; 3. Streptomyces botrytidirepellens NEAU-LD23T; 4. Streptomyces himastatinicus ATCC 53653T.
Morphology
Color of clone on ISP 3 Grey white ND Pale yellow White
Color of clone on ISP 5 Pale yellow ND White Pale greenish yellow
Color of clone on ISP 7 Signal white Light yellowish brown Grayish green White
Soluble pigments on ISP 7 Light olive green
Growth temperature (°C) 20–40 24–40 20–37 10–37
pH 9 + + +
8% NaCl (w/v, %) + +
Hydrolysis of cellulase +
Coagulation and peptonization of milk + ND +
[thin space (1/6-em)]
Carbon source utilization
Myo-inositol + +
Raffinose + + +
L-rhamnose + + + +
D-mannitol + +
Genome size (bp) 10[thin space (1/6-em)]474[thin space (1/6-em)]412 9[thin space (1/6-em)]645[thin space (1/6-em)]891 11[thin space (1/6-em)]008[thin space (1/6-em)]137 11[thin space (1/6-em)]030[thin space (1/6-em)]030
GC content 71.42 71.88 71.34 67.58
No. of contigs 1 2 887 783
No. of CDSs 9191 8002 9182 9256
No. of rRNA genes 18 21 6 5
No. of tRNA genes 72 68 67 62


The complete circular genome was 10.47 Mb with a GC content of 71.42% (Fig. 5) (GenBank accession: CP058693). It encoded 9191 CDSs, 18 rRNAs, 72 tRNAs, and 145 other RNAs (Table 3). COG and RAST analyses indicated abundant genes for general function, transcription, and the metabolism of amino acids and carbohydrates (Table 4 and Fig. S5). AntiSMASH analyses predicted 40 BGCs for diverse secondary metabolites, including polyketides (PKS), non-ribosomal peptides (NRPS), terpenes, post-translationally modified peptide products (RiPP-like), Trans-AT PKS, heterocyst glycolipid synthase-like PKS (hglE-KS) and others (Table 5).


image file: d5ra07947k-f5.tif
Fig. 5 Genome map of strain Rer75. The outermost circle represents the genome size. The second and third circles depict genes on the positive and negative strands of the genome, respectively, with different colors indicating various COG functional classifications. The fourth circle displays repeat sequences, while the fifth indicates tRNA (blue) and rRNA (purple). The sixth circle represents GC content, and the innermost circle shows the GC skew. The letters A–Z correspond to the functional classification of CDS genes in the chromosome.
Table 3 Genomic features of Rer75
Description Statistic
Genome size (bp) 10[thin space (1/6-em)]474[thin space (1/6-em)]412
No. of contigs 1
Plasmids 0
G + C content (%) 71.42
Total number of CDSs 9191
rRNA genes 18
tRNA genes 72
Other ncRNA 145
Pseudo genes (total) 3
CRISPR region 58
Genomic_island 28
Prophage_region 6
Genes assigned to COG 5761
Genes assigned to KEGG 2197
Genes assigned to Pfam 7027
Gene entries assigned to CAZy 430
Gene entries assigned to ARDB 2
Features assigned by RAST 2134
Secondary metabolite gene clusters BGCs 40


Table 4 Number of genes associated with COG function class in genes and their relative abundance
Function class COG function class Number of genes Percentage (%)
A RNA processing and modification 1 0.01
B Chromatin structure and dynamics 1 0.01
C Energy production and conversion 430 5.91
D Cell cycle control, cell division, chromosome partitioning 35 0.48
E Amino acid transport and metabolism 766 10.52
F Nucleotide transport and metabolism 101 1.39
G Carbohydrate transport and metabolism 712 9.78
H Coenzyme transport and metabolism 232 3.19
I Lipid transport and metabolism 380 5.22
J Translation, ribosomal structure and biogenesis 215 2.95
K Transcription 869 11.94
L Replication, recombination and repair 275 3.78
M Cell wall/membrane/envelope biogenesis 251 3.45
N Cell motility 3 0.04
O Posttranslational modification, protein turnover, chaperones 143 1.96
P Inorganic ion transport and metabolism 407 5.59
Q Secondary metabolites biosynthesis, transport and catabolism 472 6.48
R General function prediction only 1136 15.6
S Function unknown 329 4.52
T Signal transduction mechanism 362 4.97
U Intracellular trafficking, secretion, and vesicular transport 37 0.51
V Defense mechanisms 122 1.68
Z Cytoskeleton 1 0.01


Table 5 Biosynthetic gene clusters for the secondary metabolites in strain Rer75
Cluster no. AntiSMASH type descriptor Length (bp) Predicted products (%) MIBiG-ID
1 Terpene, T1PKS, pyrrolidine, butyrolactone 371[thin space (1/6-em)]697 X-14547 (30%) BGC0000079
2 Other 41[thin space (1/6-em)]382 A-503083 A, B, E, F (9%) BGC0000288
3 NRPS 49[thin space (1/6-em)]075 Coelichelin (90%) BGC0000325
4 T1PKS 43[thin space (1/6-em)]523 Meilingmycin (8%) BGC0000207
5 Redox-cofactor 22[thin space (1/6-em)]094 Lankacidin C (13%) BGC0000518
6 Butyrolactone 10[thin space (1/6-em)]013
7 NRPS 78[thin space (1/6-em)]474 Dechlorocuracomycin (8%) BGC0000389
8 Terpene 24[thin space (1/6-em)]241 Isorenieratene (71%) BGC0000664
9 Terpene 19[thin space (1/6-em)]121 Pristinol (100%) BGC0001746
10 Lanthipeptide-class-iii 20[thin space (1/6-em)]412
11 NRPS 44[thin space (1/6-em)]820 Rifamorpholine A–E (3%) BGC0000375
12 Siderophore 11[thin space (1/6-em)]802
13 Ectoine 10[thin space (1/6-em)]404 Ectoine (100%) BGC0000853
14 Phenazine 20[thin space (1/6-em)]488 5-Acetyl/5-(2-hydroxyacetyl) −5,10-dihydrophenazine-1-carboxylic acid/endophenazine A1, F, G (30%) BGC0000936
15 NRPS-like, T1PKS 209[thin space (1/6-em)]530 Mediomycin A (68%) BGC0001932
16 RRE-containing 21[thin space (1/6-em)]531 Granaticin (10%) BGC0001514
17 Arylpolyene, ladderane 42[thin space (1/6-em)]391 Atratumycin (34%) BGC0001343
18 NRPS 43[thin space (1/6-em)]358 Ochronotic pigment (75%) BGC0001615
19 Terpene 21[thin space (1/6-em)]460 Geosmin (100%) BGC0001181
20 Lassopeptide 22[thin space (1/6-em)]565 SSV-2083 (18%) BGC0001779
21 Siderophore 11[thin space (1/6-em)]306 Desferrioxamin B (100%) BGC0001478
22 Lanthipeptide-class-iii 22[thin space (1/6-em)]645 Catenulipeptin (60%) BGC0000553
23 NRPS-like 41[thin space (1/6-em)]523 Echoside A-E (82%) BGC0000340
24 T1PKS, PKS-like 114[thin space (1/6-em)]768 Incednine (17%) BGC0000068
25 Siderophore 12[thin space (1/6-em)]366
26 RiPP-like 8677
27 T2PKS 72[thin space (1/6-em)]524 Spore pigment (83%) BGC0000272
28 transAT-PKS 61[thin space (1/6-em)]483 9-Methylstreptimidone (77%) BGC0000171
29 Terpene 26[thin space (1/6-em)]146 Hopene (69%) BGC0000663
30 T3PKS, transAT-PKS, NRPS, T1PKS 110[thin space (1/6-em)]392 Phthoxazolin (9%) BGC0000282
31 T1PKS 65[thin space (1/6-em)]414 Aculeximycin (14%) BGC0000041
32 NRPS, T1PKS, lanthipeptide-class-ii 64[thin space (1/6-em)]583 Guadinomine (7%) BGC0001579
33 T1PKS, NRPS, PKS-like, butyrolactone 202[thin space (1/6-em)]119 BE-14106 (64%) BGC0000848
34 hglE-KS, T1PKS 51[thin space (1/6-em)]053
35 RiPP-like 10[thin space (1/6-em)]224
36 NAPAA 33[thin space (1/6-em)]950 Phthoxazolin (6%) BGC0000674
37 T1PKS 125[thin space (1/6-em)]835 Nigericin (94%) BGC0000114
38 NRPS-like, terpene 49[thin space (1/6-em)]318 Livipeptin (100%) BGC0001181
39 T1PKS, NRPS-like, terpene 43[thin space (1/6-em)]431 2-Methylisoborneol (100%) BGC0000658
40 T1PKS, terpene 110[thin space (1/6-em)]096 Spectinabilin/orinocin/SNF4435C-D (36%) BGC0000674


3.4 A nigericin-like gene cluster is essential for antibacterial activity of Rer75

To verify the function of nigericin-like gene cluster no. 37 (Fig. 6A), expression of its core biosynthetic gene ctg_8048 was repressed. The repression expression vector pSETddCpf1-R8048 was constructed (Fig. 6B), and conjugal transfer was performed to obtain Rer75-R8045 mutants. Verification via ampicillin resistance gene amplification showed no corresponding amplicon in the wild-type strain (lacking this resistance gene), while a specific 570-bp band was detected in the transconjugant (Fig. 6C). The original strain and repression strain were fermented in H9 medium, followed by an antibacterial assay. A plate confrontation assay was used to verify the changes in the antifungal activity of the mutant strain. Results indicated that the antibacterial activity of the repression strain decreased by nearly 50%, but with no changes in the antifungal activity (Fig. 6D), confirming that nigericin-like gene cluster no. 37 in Rer75 was responsible for the biosynthesis of antibacterial metabolites.
image file: d5ra07947k-f6.tif
Fig. 6 Relationship between the nigericin-like gene cluster and antibacterial activity of metabolites from strain Rer75. (A) MIBiG comparison of biosynthetic gene cluster by region-to-region analysis type. (B) Construction of the ctg_8048-inhibitory plasmid based on pSETddCpf1. (C) PCR amplification of the ampicillin resistance gene; R1–R8: gene-inhibited strains obtained via conjugation transfer; P: plasmid pSETddCpf1-R8048; M: marker. (D) Antimicrobial activity between the R8048 mutant strain and the wild-type strain Rer75. CK: F. graminearum Schw grown on V8 agar.

3.5 Optimization of the fermentation medium

Streptomyces species produce different secondary metabolites depending on the culture medium used. Antimicrobial activity screening of extracts from eight different media revealed that the H9 medium yielded the strongest activity against E. coli, S. aureus, and B. berengeriana, making it the chosen medium for large-scale compound isolation (Fig. 7).
image file: d5ra07947k-f7.tif
Fig. 7 Antimicrobial activities of extracts from different fermentations of Rer75. A1 and B1: supernatant extracts; A2 and B2: precipitation extract; E: different pathogens.

3.6 Structure elucidation

Seven compounds were isolated from the H9 fermentation culture of Rer75 (Fig. 8). Compound 1 was obtained as a colorless oil and was identified as a pure compound by HPLC (Fig. S6). Its [M + H]+ion was observed at m/z 405.2046 (calcd. m/z 405.2046) using HRESIMS (Fig. S7), allowing the determination of its molecular formula as C19H33O9. The planar structure of 1 was established by comprehensive analyses of 1D and 2D NMR data. The 1H NMR spectrum (Table 6 and Fig. S8–S10) showed characteristic signals for two olefinic protons [δH 5.88 (dt, J = 15.6, 1.5 Hz, H-2); 6.89 (dt, J = 15.3, 7.5 Hz, H-3)], four methoxy groups as singlets (δH 3.65, 3.66, 3.72, 3.74), and two methyl groups as doublets (δH 1.23, 1.26). 13C NMR and DEPT spectra (Fig. S11–S13) displayed 19 carbon resonances corresponding to two sp2 carbons (δC 124.3, 147.6), two sp3 methyl groups (δC 16.3, 17.2), four sp3 methylene groups (δC 28.6, 32.0, 37.5, 38.8), three sp3 methine groups (δC 32.8, 81.5, 81.7), one sp3 quaternary carbon (δC 106.4), three carbonyl carbons (δC 168.3, 174.2, 175.4), and four methoxy groups (δC 52.0, 52.1, 52.2, 52.9). 1D NMR data indicated a structure related to the known compound rel-4-Ethyl1,5-dimethyl (1E,4R,5S)-3,3-dimethoxy-1-heptene-1,4,5-tricarboxylate.34 1H–1H COSY and HMBC correlations are shown in Fig. 9. The 1H–1H COSY spectrum (Fig. S14) revealed three spin systems, H-2/H-3/H2-4, H-5/H2-6/H2-7, and H3-1′/H-2′/H-3′/H3-4′, corresponding to fragments I, II, and III, respectively (Fig. 9). The key HMBC correlations (Fig. S15) from H3–C-b (δH 3.72) and H-3 (δH 6.89) to the carbonyl carbon C-1 (δC 168.3), from H3–C-a (δH 3.65) and H2-1″ (δH 2.39) to C-2″ (δC 174.2), from H2-1″ (δH 2.39) and H2-4 (δH 2.31) to C-5 (δC 32.8), from H3–C-c (δH 3.74), H3–C-d (δH 3.66), H-2′ (δH 3.86), and H2-7 (δH 2.18) to C-9 (δC 175.4), and from H2-6 (δH 2.4) and H2-7 (δH 2.18) to the quaternary carbon C-8 (δC 106.4) connected these fragments and established the planar structure. Based on the spectroscopic data, the structure of compound 1 was elucidated to be dimethyl (E)-8-[(3-hydroxybutan-2-yl) oxy]-8-methoxy-5-(2-methoxy-2-oxoethyl) non-2-enedioate, representing a new unsaturated hydroxy ester (Fig. 9). Compounds 2–7 were identified as 3,4-bis((S)-2-ethylhexyl) phthalate (2),35 N-(4-methoxyphenethyl) acetamide (3),36 4-aminobutanoic acid (4),37 piperidin-2-one (5),38 N-(4-ethylphenethyl) acetamide (6)39 and methyl 2-(4-hydroxyphenyl) acetate (7)40 by comparing their spectroscopic data with the literature (Fig. 8).
image file: d5ra07947k-f8.tif
Fig. 8 Chemical structures of compounds 1–7 isolated from Streptomyces rehmanniae Rer75.
Table 6 1H and 13C NMR data of compound 1 in MeOD
Position δC δH (int., mult., J in Hz)
1 –C[double bond, length as m-dash]O 168.3
2 124.3 5.88 (1H, dt, 15.6, 1.5)
3 147.6 6.89 (1H, dt, 15.3, 7.5)
4 37.5 2.31 (2H, ddd, 8.0, 6.6, 1.5)
5 32.8 2.50 (1H, dt, 13.3, 6.8)
6 28.6 2.4 (2H, m)
7 32.0 2.18 (2H, m)
8 106.4
9 –C[double bond, length as m-dash]O 175.4
1′ 17.2 1.23 (3H, d, 6.1)
2' –C–O– 81.7 3.86 (1H, dd, J = 8.4, 6.0)
3' –C–OH 81.5 3.66 (1H, m)
4′ 16.3 1.26 (3H, d, 6.0)
1″ 38.8 2.39 (2H, m)
2'' –C[double bond, length as m-dash]O 174.2
a –OCH3 52.1 3.65 (3H, s)
b –OCH3 52.2 3.72 (3H, s)
c –OCH3 52.9 3.74 (3H, s)
d –OCH3 52.0 3.66 (3H, s)



image file: d5ra07947k-f9.tif
Fig. 9 2D nuclear magnetic resonance correlations of compound 4.

3.7 Biological activity

The new compound 1 exhibited moderate antimicrobial activity against E. coli (MIC = 18.3 ± 2.3 µg mL−1) and S. aureus (MIC = 35.8 ± 3.6 µg mL−1) compared with ampicillin sodium (9.67 ± 2.84 and 1.35 ± 4.1 µg mL−1) but showed no activity against the fungal pathogen B. berengeriana (Table 7).
Table 7 Antibacterial activity of compound 1
Compounds MIC (µg mL−1)
E. coli CGMCC 1.1521 S. aureus ATCC 25923 B. berengeriana CFCC 85789
1 18.3 ± 2.3 35.8 ± 3.6 >200.0
Ampicillin sodium 9.67 ± 2.84 1.35 ± 4.1
Amphotericin B 4.23 ± 0.75


3.8 Antibacterial mechanism of compound 1

As shown in Fig. 10A, in the absence of compound treatment, E. coli exhibited a normal morphology with intact cell walls and clear boundaries. In contrast, when treated with compound 1 at a concentration of 2 × MIC (37.0 µg mL−1), obvious morphological damages were observed, such as a fractured cell wall and membranes, released intracellular contents, and cells presented as empty shells (Fig. 10B). These results clearly indicated that the new compound exerted a bactericidal effect by damaging the cell walls and cell membranes of E coli (Fig. 10).
image file: d5ra07947k-f10.tif
Fig. 10 SEM of E. coli and E. coli treated with compound 1. (A) SEM of E. coli. (B) SEM of E. coli treated with 37 µg mL−1 of compound 1.

4 Discussion

Microbial resistance to antibiotics is an ancient and naturally occurring phenomenon. The dangers of AMR must be addressed to avoid escalating threats to public health.1 Screening for new antimicrobials with strong activity is important. Antimicrobial compounds are produced by microbes, especially actinomycetes such as Streptomyces, Nocardia and Micromonospora species.41 Among them, Streptomyces species exhibit remarkable adaptability across diverse ecological niches, making them a subject of extensive investigation.42 Daptomycin, a cyclic lipopeptide antibiotic, derived from Streptomyces roseosporus, exerts its bactericidal activity through inhibition of critical cellular processes, including protein, DNA and RNA synthesis, which ultimately cause bacterial cell death.43 Daptomycin has been approved for the treatment of complicated skin and skin structure infections (cSSSI) in the USA.43 Furthermore, various secondary metabolites derived from Streptomyces species, including jinggangmycin,44 zhongshengmycin,45 and avermectin,46 have been commercialized as biopesticides in agriculture. During the investigation of rhizosphere microorganisms in R. glutinosa, a strain designated “Rer75” with strong antifungal activity was isolated. Polyphasic taxonomic characterization revealed strain Rer75 to be a newly discovered Streptomyces species. Then, the genome of strain Rer75 was sequenced for detailed analyses. Subsequent optimization of culture conditions and compounds isolation were carried out to obtain bioactive metabolites exhibiting antimicrobial properties.

With the rapid development of biological information technology, genomics has reached a stage where it may be used in prokaryotic taxonomic classification. Digital DNA–DNA hybridization (dDDH), based on genomic data, is a “gold standard” for bacterial species identification.47 It directly reflects overall genomic DNA hybridization homology and serves as the core traditional criterion for prokaryotic species demarcation. Therefore, although the ANI value (94.94%) between Rer75 and S. botrytidirepellens NEAU-LD23T fell within the borderline range (95–96%) for species demarcation, strain Rer75 was recognized as a novel species of the genus Streptomyces because its dDDH value (65.60%) was significantly below the 70% threshold for species delineation (Fig. 3 and 4). In addition, notable morphological differences were observed between Rer75, S. botrytidirepellens NEAU-LD23T and S. himastatinicus ATCC 53653T. For instance, strain Rer75 produced a pale olive-green pigment on ISP 7 medium, whereas strains NEAU-LD23T and ATCC 53653T did not; Rer75 exhibited a grey colour on ISP 3 medium, while strains NEAU-LD23T and ATCC 53653T were pale-yellow and white, respectively (Table 2).30,31 Collectively, with the other differences listed in Table 2, strains Rer75, NEAU-LD23T and ATCC 53653T represent distinctly different Streptomyces species, demonstrating that Rer75 is a novel species of genus Streptomyces proposed as Streptomyces rehmanniae.

To investigate the antibacterial-active components of strain Rer75, H9 medium was selected for large-scale fermentation to isolate antimicrobial compounds. Seven compounds were obtained from the medium, and compound 1 was a new compound. As shown in Fig. 8, compound 1 possessed a highly flexible linear chain with multiple chiral carbon centers, including C5, C8, C2′ and C3′. This structural feature led to significant conformational mobility, making it difficult to obtain clear through–space correlations from nuclear magnetic resonance (NMR) techniques such as NOESY/ROESY, which are commonly used to deduce relative stereochemistry.48 Furthermore, the literature was searched, and no structurally analogous compounds with reported stereochemistry were found. Nevertheless, the structural characterization presented was otherwise considered comprehensive and reliable, having been firmly established based on detailed NMR (1H, 13C, DEPT, HSQC, HMBC) and MS data.

It has been reported that the bioactive compounds produced by Streptomyces are derived from BGCs, with the enzymes being arranged in close proximity within bacterial genomes.49 As depicted in Fig. 11, a putative biosynthetic pathway was proposed for compound 1, which is presumably synthesized by type-I polyketide synthase (T1PKS). The biosynthetic pathway is similar to that for spectinabilin.50 Through comprehensive mining of the genome of Rer75, 14 distinct T1PKS gene clusters were identified (Table 5). Despite in-depth bioinformatics analysis of these gene clusters, no suitable T1PKS gene cluster whose modular organization and domain composition could fully account for compound 1 was identified because of its specific carbon chain length, methylation pattern, and the presence of hydroxyl groups and double bonds. Besides, compound 1 may be a product of a hybrid pathway combined with cytochrome P450 oxidases, glycosyltransferases, or methyltransferases encoded outside the core PKS cluster that account for its unique structural features, making it difficult to link the final product to the core PKS cluster via bioinformatics analysis alone.


image file: d5ra07947k-f11.tif
Fig. 11 Putative biosynthetic pathway of compound 1.

A deeper understanding of the BGCs in Streptomyces species will therefore be more useful for the research and applications of active compounds in Streptomyces species. For example, strain Streptomyces sp. S4–7, which encodes 35 BGCs for producing putative antimicrobial agents, originally showed suppression against Fusarium wilt. Also, through genome analysis, a novel thiopeptide was purified and shown to have potent inhibitory activity against fungal cell wall biogenesis in Fusarium species.51 Thus, the application of in silico biosynthetic predictions from genome mining data is usually employed for screening promising Streptomyces species in nature. Strain Rer75 contains 40 BGCs in the genome, and 33 clusters were similar to BGCs with known functions (Table 5). Six gene clusters contained 100% similarity with the known cluster that could synthesize pristinol, ectoine, geosmin, desferrioxamin B, livipeptin and 2-methylisoborneol in Streptomyces strains (Table 5). Besides, five BGCs were expected to produce known compounds with identical predicted functions at high levels of similarity (77–94%) (Table 5). Nigericin, an H+, K+ and Pb2+ ionophore, exhibited promising activity against various types of cancer. Treatment of cancer cells with nigericin may offer a novel therapeutic strategy and potential for future clinical translation.52 Recently, Zhu et al. revealed that nigericin also exhibits potent antibacterial activity.53 In the genome of Rer75, a T1PKS gene cluster no. 37 (ctg_8033ctg_8077), which had high similarity (94%) to nigericin, was found. Except for the additional biosynthetic gene ABC84463, all the genes of nigericin BGCs (Fig. 6 and Table S2) were found in the genome of Rer75, and the MIBiG comparison with region-to-region analysis is shown in Fig. 6A. Collectively, repression of the core gene ctg_8048 in cluster no. 37 identified the biological importance of the cluster in the synthesis of antibacterial secondary metabolites (Fig. 6), laying a solid foundation for in-depth mechanistic and structural investigations. Further work will therefore focus on elucidating the precise chemical structure of the metabolite encoded by cluster no. 37 and deciphering its underlying molecular mechanism of antibacterial action. As shown in Fig. 6D, antibacterial activity was not completely abrogated upon inhibition of the nigericin-like gene cluster, indicating the presence of other antibacterial bioactive metabolites awaiting further exploration. In addition, Streptomyces species have a rich repertoire of secondary metabolites, yet these natural products are often hampered by low yields and the transcriptional silencing of numerous BGCs under standard laboratory cultivation conditions.54 To address these limitations, genome-guided mining approaches will be prioritized in subsequent studies to uncover novel bioactive secondary metabolites with potential antimicrobial properties from investigated strains.

Author contributions

All authors contributed to the study conception and design. Hairong He and Pengqiang Du conceived and wrote this work. Hairong He isolated microbes. Tong Wang and Jiaqi Li carried out tests on antifungal activities, isolation of compounds, and antimicrobial activity. Hairong He, Zhenzhu Zhao, Zhaoxu Ma analyzed genome data. Chen Sun verified the function of gene cluster no. 37. Hairong He, Pengqiang Du and Xiaoke Zheng revised the manuscript.

Conflicts of interest

The authors have no relevant financial or non-financial interests to disclose.

Data availability

NCBI gene bank Streptomyces sp. strain Rer75 16 S ribosomal RNA gene, partial sequence (nucleotide): NCBI, https://www.ncbi.nlm.nih.gov/nuccore/OQ073463.1; strain Rer75 chromosome (nucleotide): NCBI, https://www.ncbi.nlm.nih.gov/nuccore/CP058693.1.

Supplementary information (SI) is available. See DOI: https://doi.org/10.1039/d5ra07947k.

Acknowledgements

This work was supported by National Natural Science Foundation of China (“Effect and mechanism of recruitment of the rhizosphere beneficial microorganisms of Rehmannia glutinosa in response to plant pathogenic fungi under the stress of ring rot disease”; 32302411); Postdoctoral Foundation of Henan Province (“Study on the rhizosphere microecological regulation mechanism of Streptomyces sp. RerS4-mediated resistance to ring rot disease in Rehmannia glutinosa”; HN2025061); Natural Science Foundation of Henan (“Research on soil function and microbial ecology in the rhizosphere of Lonicera japonica mediated by Pseudomonas extremorientalis; 242301420144); Kunlun Talent High-end Innovation and Entrepreneurship Talent Leading Talent Project of Qinghai Province (2024). We sincerely acknowledge Professor Yinhua Lu from Shanghai Normal University for providing the inhibitory plasmid, and Professor Yanyan Zhang from the Institute of Plant Protection, Chinese Academy of Agricultural Sciences, for offering guidance on the conjugative transfer experiment. Besides, we thank Biomarker Technologies for assisting in the genome sequencing of strain Rer75.

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