Open Access Article
Jeong-A.
Kim
a,
Si-sun
Choi
b,
Jae Kyu
Lim
*ac and
Eung-Soo
Kim
*b
aKorea Institute of Ocean Science and Technology (KIOST), Jeju Bio Research Center, Jeju 63349, Republic of Korea. E-mail: j.k.lim@kiost.ac.kr
bDepartment of Biological Sciences and Bioengineering, Inha University, Incheon, 22212, Republic of Korea. E-mail: eungsoo@inha.ac.kr
cUniversity of Science and Technology (UST), KIOST School, Daejeon 34113, Republic of Korea
First published on 25th April 2025
Covering: 2019 to early 2025
Marine sponges form unique ecosystems through symbiosis with diverse microbial communities, producing natural products including bioactive compounds. This review comprehensively addresses the key steps in the discovery of natural products from sponge-associated microorganisms, encompassing microbial isolation and cultivation, compound identification, and characterisation. Various cultivation methods, such as floating filter cultivation, microcapsule-based cultivation, and in situ systems, are examined to highlight their applications and strategies for overcoming limitations of conventional approaches. Additionally, the integration of genome-based methodologies and compound screening is explored to enhance the discovery of novel bioactive substances and establish a sustainable platform for natural product research. This review provides insights into the latest trends in sponge-associated microbial research and offers practical perspectives for expanding the utilization of marine biological resources.
000 species of sponges have been described, primarily categorized into Calcarea, Hexactinellida, Homoscleromorpha, and Demospongiae.3,4 Among these, Demospongiae represents the largest group, comprising the majority of currently known species.5,6 The histological structure of sponges is unique, lacking homologous organs found in other animal species. The outer epithelial layer (exopinacoderm) consists of flattened exopinacocytes, while the aquiferous system, a network of canals responsible for water circulation and filtration, is lined with endopinacocytes and choanocytes. Choanocytes, equipped with flagella and microvilli, facilitate water pumping, nutrient uptake, and capturing microorganisms. The mesohyl, a connective tissue located between the outer epithelial layer and the aquiferous system, contains an extracellular matrix and various mobile cells. Among these, archaeocytes serve as macrophage-like stem cells, while lophocytes secrete the extracellular matrix, and spongocytes and sclerocytes generate skeletal elements.7 Sponges are sessile filter feeders that efficiently capture suspended food particles from the water.8 This filtration introduces diverse microorganisms into their canals, allowing them to form mutualistic symbiotic relationships.9 Sponge-associated microbial communities include archaea, cyanobacteria, heterotrophic bacteria, fungi, and microalgae, establishing complex symbioses.10,11 These relationships involve extracellular, intracellular, and even intranuclear symbiosis, constituting 50–60% of the host's biomass.12 Depending on their persistence, symbionts are classified as either transient or resident. Upon establishing stability and functionality, transient microbes become resident symbionts, forming integrated relationships with the sponge host.13–15
Sponges have evolved unique chemical defence systems in response to ecological pressures such as competition, overgrowth, infection, and predation. These defences involve secondary metabolites, including amino acids, nucleosides, polyethers, alkaloids, macrolides, porphyrins, terpenes, and steroids, many of which exhibit potent anticancer, anti-inflammatory, antifungal, and antiviral activities.16 Between 2010 and 2019, a total of 2659 compounds were identified from sponges, making them a “goldmine” of bioactive compounds.17 Interestingly, these bioactive compounds are primarily produced by sponge-associated microorganisms rather than the sponges. Among these, sponge-associated bacteria are the most extensively studied symbionts due to their ease of cultivation and the superior properties of their metabolites.11 Structural similarities between natural products derived from sponges and bacterial metabolites suggest that many bioactive compounds likely originate from sponge-associated bacteria.18–21
In this context, numerous sponge-derived compounds have served as lead structures for pharmaceutical development, including clinically approved drugs such as cytarabine and eribulin.22 However, translating these discoveries into therapeutics often faces the critical barrier of sustainable supply, as compound yields from natural sponge biomass are typically low, and large-scale harvesting raises ecological concerns.23,24 Identifying the true producer, whether sponge or symbiont, is essential for enabling sustainable production strategies, such as microbial fermentation or synthetic biology. Moreover, the metabolite structure similarity between host sponges and their symbionts makes biosynthetic origin assignments increasingly complex, highlighting the need for integrated chemical and genomic approaches.25–30
Given these challenges, there is a growing need for integrated knowledge that bridges natural product chemistry, microbial symbiosis, and modern biotechnological tools. This review aims to provide an integrated overview of progress in the discovery of natural products from sponges and examines strategies for isolating and cultivating sponge-associated bacteria. Additionally, it discusses genome-based approaches for identifying biosynthetic gene clusters (BGCs) and their heterologous expression, as well as chemical-based approaches for the discovery of natural products.
| Activity classification | Compound | Origin | Activity | Ref. |
|---|---|---|---|---|
| Antimicrobial and antiparasitic activities | Secodinorspongin A 1 | Spongia sp. | Antibacterial activity against S. aureus | Tai et al.31 |
| Scalimides J 2 and K 3 | Spongia sp. | Antibacterial activity against Bacillus subtilis and Micrococcus luteus | Shin et al.32 | |
| Phyllospongianes A 4, B 5, and D 6 | Phyllospongia foliascens | Antibacterial activity against S. aureus, E. coli, B. subtilis, E. faecalis, V. vulnificus, V. parahaemolyticus, and P. aeruginosa | Yu et al.33 | |
| Sceptrin 7 | Stylissa massa | Antibacterial activity against S. aureus and E. coli | Kosgahakumbura et al.34 | |
| Stonikacidin A 8 | Lissodendoryx papillosa | Antibacterial activity against S. aureus and E. coli | Tabakmakher et al.35 | |
| 3,5-Dibromo-6-(3′,5′-dibromo-2′-hydroxyphenoxy)phenol 9 | Lamellodysidea herbacea | Antibacterial activity against S. aureus and K. pneumoniae | Hanif et al.36 | |
| Aspergetherins A 10 and C 11 | Aspergillus terreus | Antibacterial activity against MRSA | Li et al.37 | |
| Bacillimidazole F 12 | Bacillus sp. WMMC1349 | Antibacterial activity against MRSA | Yan et al.38 | |
| Xanthoelegansin 13 | Aspergillus elegans | Antibacterial activity against MRSA, VRE, and E. faecalis | Kumla et al.39 | |
| Xishaeleganin B 14 | Dactylospongia elegans | Antibacterial activity against S. aureus, S. pyogenes, and E. faecium | Chen et al.40 | |
| (+)- and (−)-Tedanine 15 | Tedania sp. | Antibacterial activity against E. faecalis | Guo et al.41 | |
| 2-Ethylhexyl 1H-imidazole-4-carboxylate 16 | Verrucosispora sp. | Antibacterial activity against H. pylori, S. aureus, and K. pneumoniae | Chen et al.42 | |
| 3β-hydroxy-5α,6β-methoxyergosta-7,22-dien-15-one 17 | Aspergillus asclerogenus | Antibacterial activity against S. aureus | Wen et al.43 | |
| Aspergilluone A 18 | Aspergillus sp. LS57 | Antibacterial activity against Mycobacterium tuberculosis H37Rv and S. aureus | Liu et al.44 | |
| Duryne 19 | Petrosia sp. | Antimycobacterial activity against M. tuberculosis H37Rv | Chhetri et al.45 | |
| Odoripenoids A 20 and B 21 | Streptomyces spp. | Antifungal activity against Candida albicans | Wen et al.46 | |
| Oceanalin B 22 | Oceanapia sp. | Antifungal activity against Candida glabrata | Makarieva et al.47 | |
| 7-Dechloronidulin 23 | Aspergillus nidulans | Antibacterial and antifungal activities against Gram-positive bacteria and C. albicans | Thi Hoang Anh et al.48 | |
| Chlocarbazomycin C 24 | Streptomyces diacarni LHW51701 | Antibacterial and antifungal activity against MRSA, Mycobacterium smegmatis, Bacillus mycoides, and C. albicans | Cheng et al.49 | |
| Marmaricines A–C 25–27 | Agelas sp. aff. marmarica | Antibacterial and antifungal activity against MRSA and C. albicans | Youssef et al.50 | |
| Bacillisporin A 28 and B 29 | Talaromyces pinophilus KUFA 1767 | Antibacterial activity against MRSA and S. aureus, antibiofilm activity | Machado et al.51 | |
| Spinolactone 30 | Neosartorya spinosa KUFA 1047 | Inhibition of biofilm formation by E. coli, S. aureus, and E. faecalis | de Sá et al.52 | |
| Tenellic acid C 31 | ||||
| Neospinosic acid 32 | ||||
| Citronamine A 33 | Citronia astra | Actiparasitic activity against Plasmodium falciparum | Prebble et al.53 | |
| Saframycin Y3 34 | Streptomyces sp. | Inhibited P. falciparum lysyl-tRNA synthetase, showing high binding affinity | Gamaleldin et al.54 | |
| Juglomycin E 35 | ||||
| Plakortinic acids C 36 | Plakortis symbiotica | Antiparasitic activity against Plasmodium berghei, with favourable ADMET profiles | Amador et al.55 | |
| Plakortinic acids D 37 | Xestospongia deweerdtae | |||
| Ant and cytotoxic activities | Furospinulosin-1 38 | Hippospongia fistulosa | Induces apoptosis in triple-negative breast cancer spheroids | Guzmán et al.56 |
| Neviotin A 39 | Haliclona fascigera | Induces oxidative stress and mitochondrial dysfunction, leading to cytotoxicity in MCF-7 breast cancer cells | Saquib et al.57 | |
| Phakefustatin A 40 | Phakellia fusca | Affects the PI3K/Akt pathway; modulates RXRα receptor | Wu et al.58 | |
| (+)-Spondomine 41 | Tedania anhelans | Inhibits Wnt and HIF1 signalling; cytotoxicity against K562 leukemia cells | Jin et al.59 | |
| Swinhopeptolides A 42 and B 43 | Theonella swinhoei | Disrupt Ras–Raf interactions | Kim et al.60 | |
| 2Z- and 6Z-onnamides A 44–45 | Theonella conica | Potent activity against HeLa and P388 cells | Nakamura et al.61 | |
| Neopetrothiazide 46 | Neopetrosia spp. | Selectively inhibits PAX3-FOXO1-mediated transcription | Wang et al.62 | |
| Scalarane-type sesterterpenoid (featuring C-24 pentenone E-ring) 47 | Hyrtios erectus and Dysidea spp. | Cytotoxicity against MDA-MB-231 breast cancer cells | Shin et al.63 | |
| Neopetrosidines A–D 48–51 | Neopetrosia chaliniformis | Inhibit proliferation in HeLa/Fucci2 cells | Hitora et al.64 | |
| Sarcotragusolides A1 52, A2 53, and B1 54 | Sarcotragus sp. | Cytotoxicity against K562 leukemia and ASPC-1 pancreatic cancer cells | Xu et al.65 | |
| 24R,25S-luffariellin A 55 | Luffariella spp. | Cytotoxicity against leukemia cell lines | Lai et al.66 | |
| 24R-O-methyl-25S-luffariellin A 56 | ||||
| 24R-O-methyl-25S-manoalide 57 | ||||
| 24R,25S-manoalide 58 | Cytotoxicity against leukemia cell lines and induced mitochondria-dependent apoptosis and inhibited human topoisomerase I and II | |||
| Phyllospongiane C 59 | Phyllospongia foliascens | Cytotoxicity across multiple cancer cell lines | Yu et al.33 | |
| Phyllofolactone S 60 | Phyllospongia foliascens | Selective activity against HCT116 and HN6 cells | Lu et al.67 | |
| Ascandinine D 61 | Aspergillus candidus HDN15-152 | Selectively inhibited HL-60 leukemia cells | Zhou et al.68 | |
| (3R)-(3′,5′-Dihydroxyphenyl)butan-2-one 62 | Ascomycota sp. VK12 | Cytotoxicity across various cancer cell lines; anti-inflammatory activity via NO inhibition in microglial cells | Quang et al.69 | |
| Unguisol B 63 | Aspergillus unguis | Cytotoxicity in MDA-MB-231 cells; induced apoptosis with S-phase arrest, associated with down-regulation of BCL2L1 and AKT1 | Bashari et al.70 | |
| 19-Methoxy-dictyoceratin-A 64 | Dactylospongia elegans | Cytotoxicity activity across several cancer cell lines | Yu et al.71 | |
| Halaminol E 65 | Haliclona chrysa | Cytotoxicity in the NCI-60 cancer cell panel; notable selectivity toward melanoma and colon cancer cell lines | Grkovic et al.72 | |
| Batzelladines O 66 and P 67 | Monanchora pulchra | Cytotoxicity against drug-resistant prostate cancer lines; induced both apoptosis and autophagy | Dyshlovoy et al.73 | |
| Pelorol 68 | Dactylospongia elegans | Cytotoxic to melanoma cells; caused G1 arrest and apoptosis through modulation of apoptosis-related genes and miRNAs | Carpi et al.74 | |
| 5-epi-ilimaquinone 69 | Dactylospongia elegans | |||
| Immunomodulation and host defence-related activities | Secodinorspongin D 70 | Spongia spp. | Inhibited neutrophil-derived superoxide and elastase release | Tai et al.31 |
| Sponginolide 71 | ||||
| Fistularin-1 72 | Ecionemia acervus | Significant anti-inflammatory effects; reduced NO and prostaglandin E2 production | Ji et al.75 | |
| 11,19-Dideoxyfistularin-3 73 | ||||
| 17-Dehydroxysponalactone 74 | Spongia sp. | Inhibited superoxide anion generation and elastase release without cytotoxicity | Tai et al.76 | |
| (−)-Sponalisolide B 75 | Spongia sp. | Inhibited superoxide anion generation | Tai et al.76 | |
| Spongianol 76 | Spongia sp. | Suppressed superoxide and elastase release | Tai et al.77 | |
| 3β,5α,9α-Trihydroxy-24S-ethylcholest-7-en-6-one 77 | Spongia sp. | Exhibited superoxide inhibition | Tai et al.77 | |
| (22E,24S)-Ergosta-7,22-dien-3β,5α-diol-6,5-olide 78 | ||||
| Thalysiaketide A 79 and B 80 | Clathria (Thalysias) vulpina | Dual inhibition of COX-2 and 5-LOX | Chakraborty & Francis78 | |
| Stylimassalins A 81 and B 82 | Stylissa massa | Reduced macrophage migration in a CuSO4-induced zebrafish inflammation model | Liu et al.79 | |
| (−)-Subertieslide B 83 | Suberties sp. | Suppressed NO production in LPS-stimulated RAW 264.7 macrophages | Li et al.80 | |
| Ircinialactam J 84 | Ircinia felix | Inhibited human adenovirus type 5 by interfering with the viral life cycle prior to nuclear genome entry | Ruiz-Molina et al.81 | |
| 2-Bromoaldisine 85 | Stylissa massa | Inhibitory activity against HIV-1 Vpr-mediated suppression of cell proliferation in the TREx-HeLa-Vpr model | Win et al.82 | |
| Ascandinine C 86 | Aspergillus candidus HDN15-152 | Displayed potent activity against influenza A virus | Zhou et al.68 | |
| Spiroetherone A 87 | Dysidea etheria | Inhibited angiogenesis in a zebrafish model | Jiao et al.83 | |
| Cyclobutastellettolides A 88 and B 89 | Stelletta sp. | Significantly increased ROS production in murine peritoneal macrophages | Kolesnikova et al.84 | |
| Assimiloside A 90 | Hymeniacidon assimilis | Stimulated lysosomal activity and elevated intracellular ROS levels in RAW 264.7 macrophages | Kudryashova et al.85 | |
| Neuroactive and neuroprotective activities | Veranamine 91 | Verongula rigida | Selective binder to 5HT2B and sigma-1 receptors, exhibiting antidepressant activity in the forced-swim test without interacting with serotonin, norepinephrine, or dopamine transporters | Kochanowska-Karamyan et al.86 |
| Aaptamine 92 | Aaptos aaptos | Demonstrated analgesic effects as a delta-opioid receptor agonist in a neuropathic pain model | Sung et al.87 | |
| Lamellosterols A–C 93–95 | Lamellodysidea cf. chlorea | Identified as anti-prion compounds, exhibiting inhibition of α-synuclein aggregation | Jennings et al.88 | |
| Frondoplysins A 96 and B 97 | Dysidea frondosa | Inhibit protein tyrosine phosphatase 1B | Jiao et al.89 | |
| Erectcyanthins A–C 98–100 | Hyrtios erectus | Inhibit 3-hydroxy-3-methylglutaryl coenzyme A reductase and 5-lipoxygenase, with erectcyanthin B exhibiting strong inhibition of HMGCR | Chakraborty & Francis78 | |
| Eutypoid F 101 | Penicillium sp. SCSIO 41413 | Inhibits PI3K, with potential as an anticancer lead compound | Ye et al.90 | |
| Other functional activities | Aaptodines A–D 102–105 | Aaptos suberitoides | Inhibit RANKL-induced osteoclastogenesis | Wang et al.91 |
| Tedaniophorbasins A 106 and B 107 | Tedaniophorbas ceratosis | Exhibited strong yellow colouration, UV absorbance, cyan fluorescence, and potential ecological functions such as UV shielding or bioluminescence | Hiranrat et al.92 | |
| 9,11-Dihydrogracillinone A 108 | Dendrilla antarctica | Antifouling activity | Prieto et al.93 |
Several sponge-derived compounds have demonstrated activity against fungal pathogens, mycobacteria, and in some cases, also exhibited antibiofilm effects. Among compounds with antimycobacterial or antifungal activity, Duryne 19, a linear acetylene compound from Petrosia sp., was active against M. tuberculosis H37Rv, with a MIC of 1.4 μM.45 Odoripenoids A 20 and B 21, geosmin-related metabolites from Streptomyces spp. isolated from mesophotic sponges, showed antifungal activity against Candida albicans with MIC values of 16 and 32 μg mL−1, respectively.46 Likewise, oceanalin B 22, a bipolar sphingoid tetrahydroisoquinoline β-glycoside from Oceanapia sp., inhibited Candida glabrata with a MIC of 25 μg mL−1, and its activity was proposed to be linked to interference with the sphingolipid pathway.47 In addition, 7-dechloronidulin 23, a chlorinated depsidone isolated from Aspergillus nidulans, exhibited strong activity against Gram-positive bacteria and C. albicans, with MIC values ranging from 2–8 μg mL−1.48 Chlocarbazomycin C 24, a chlorinated carbazole alkaloid from Streptomyces diacarni LHW51701, exhibited broad-spectrum antimicrobial activity against MRSA, Mycobacterium smegmatis, Bacillus mycoides, and C. albicans, with MICs of 32 μg mL−1 for all strains, and showed no cytotoxicity against human lung cancer cells.49 Similarly, marmaricines A–C 25–27, brominated pyrrole alkaloids from the Red Sea sponge Agelas sp. aff. marmarica, were active against MRSA and C. albicans. Specifically, marmaricines A and B inhibited MRSA with MIC values of 8 μg mL−1, while B and C showed equivalent inhibition of C. albicans at the same concentration.50
In addition to direct antimicrobial effects, several sponge-derived metabolites demonstrated antibiofilm activity. Bacillisporins A 28 and B 29, isolated from Talaromyces pinophilus KUFA 1767, exhibited antibacterial and antibiofilm activity, inhibiting MRSA and S. aureus with MIC values of 4–16 μg mL−1, and effectively suppressing biofilm formation.51 Furthermore, Fungal metabolites such as spinolactone 30, tenellic acid C 31, and neospinosic acid 32, produced by Neosartorya spinosa KUFA 1047 isolated from a Thai sponge, significantly inhibited biofilm formation by E. coli, S. aureus, and E. faecalis, despite showing no direct growth inhibition (MIC > 64 μg mL−1). At 64 μg mL−1, tenellic acid C and neospinosic acid reduced biofilm biomass by up to 82.78 ± 0.51% for E. coli, 85.46 ± 0.25% for S. aureus, and 85.06 ± 0.42% for E. faecalis.52
Marine sponges have also yielded compounds with notable antiparasitic activities, particularly against Plasmodium species. Citronamine A 33, an isoquinoline alkaloid isolated from Citronia astra, exhibited moderate antiplasmodial activity against both drug-sensitive (Plasmodium falciparum 3D7, IC50 = 4.3 μM) and drug-resistant (P. falciparum Dd2, IC50 = 5.8 μM) strains. It showed low cytotoxicity toward HEK293 cells (66% inhibition at 40 μM), indicating a selectivity index greater than nine. The compound features a novel pentacyclic spiro[indene-2,2′-pyrrolo[2,1-a]isoquinoline] scaffold, highlighting its potential as a lead for the development of antiplasmodial drugs.53 From Callyspongia siphonella-associated Streptomyces, saframycin Y3 34 and juglomycin E 35 were identified as potential inhibitors of P. falciparum lysyl-tRNA synthetase, showing high binding affinity in docking studies.54 Plakortinic acids C 36 and D 37, isolated from a two-sponge association of Plakortis symbiotica and Xestospongia deweerdtae, exhibited antiplasmodial activity against Plasmodium berghei (EC50 = 5.3 μM), along with favourable ADMET properties including high intestinal absorption and hepatic metabolism.55
Many sponge-derived cytotoxic compounds fall into structurally distinct classes. Among scalarane sesterterpenes isolated from Hyrtios erectus and Dysidea spp., a compound featuring a C-24 pentenone ‘E-ring’ (compound 7) 47 exhibited potent cytotoxicity against MDA-MB-231 breast cancer cells (GI50 = 4.21 μM), while other analogues with differing ‘E-ring’ modifications showed weaker activity.63 Neopetrosidines A–D 48–51, pyridine alkaloids from Neopetrosia chaliniformis, inhibited the proliferation of HeLa/Fucci2 cells with IC50 values of 1.2–2.6 μM. Among them, neopetrosidine A delayed the cell cycle from 16.9 to 36.2 hours by decreasing mitochondrial membrane potential and suppressing ATP production, suggesting a cytostatic mechanism via perturbation of cellular bioenergetics.64 Sarcotragusolides A1 52, A2 53, and B 54, butenolide sesterterpenes from Sarcotragus sp., showed moderate cytotoxic activity. Notably, A1 and A2 inhibited K562 leukemia cells (IC50 = 4.38 and 2.91 μM, respectively), while B showed activity against ASPC-1 pancreatic cancer cells (IC50 = 4.71 μM).65 Among the isolated stereoisomers from Luffariella spp., 24R,25S-luffariellin A 55, 24R-O-methyl-25S-luffariellin A 56, 24R,25S-manoalide 57, and 24R-O-methyl-25S-manoalide 58 showed the most potent anti-leukemic activity, with IC50 values ranging from 0.50 to 7.67 μM across Molt 4, K562, Sup-T1, and U937 cell lines. Notably, 24R,25S-manoalide induced mitochondria-dependent apoptosis and inhibited human topoisomerase I and II (IC50 = 1.80 and 1.18 μM, respectively), and significantly reduced Molt 4 tumor volume by 66.11% in a xenograft mouse model.66 Of the phyllospongianes A–E isolated from P. foliascens, only phyllospongiane C 59 exhibited notable cytotoxicity across multiple cancer cell lines (IC50 = 0.7–2.0 μM), while others, such as A, B, and D, were primarily reported for their antibacterial activity.33 In addition, phyllofolactone S 60, a bishomoscalarane sesterterpenoid from the same sponge, demonstrated selective activity against HCT116 and HN6 cells.67
Fungal symbionts associated with marine sponges have also been a source of notable cytotoxic compounds. Ascandinine D 61, an indole diterpenoid from Aspergillus candidus HDN15-152, selectively inhibited HL-60 leukemia cells (IC50 = 7.8 μM).68. (3R)-(3′,5′-Dihydroxyphenyl)butan-2-one 62, a phenolic compound isolated from Ascomycota sp. VK12, exhibited moderate cytotoxicity against HepG2, MCF-7, and SK-Mel2 carcinoma cells with IC50 values ranging from 48.6 to 96.5 μM, and showed anti-inflammatory activity by inhibiting NO production in LPS-stimulated BV2 microglial cells (IC50 = 24.2 μM).69 From Aspergillus unguis, a sponge-associated fungus, Unguisol B 63 showed cytotoxicity in MDA-MB-231 cells and induced apoptosis with S-phase arrest, associated with down-regulation of BCL2L1 and AKT1.70
Recent studies have also identified new compounds with selective or context-dependent cytotoxicity. A 19-methoxy-dictyoceratin-A 64 from Dactylospongia elegans showed moderate activity across several cancer cell lines (IC50 = 17.4–37.8 μM).71 Halaminol E 65, isolated from Haliclona chrysa, exhibited moderate cytotoxicity in the NCI-60 cancer cell panel with a mean GI50 value of 6.76 μM. Notably, it demonstrated selective activity against melanoma and colon cancer cell lines.72 Batzelladines O 66 and P 67, guanidine alkaloids from Monanchora pulchra, exhibited potent cytotoxicity against prostate cancer cell lines (PC3, PC3-DR, and 22Rv1) at low micromolar concentrations (IC50 = 1.4–2.1 μM), and induced apoptosis via caspase-3 and PARP cleavage, as well as cytoprotective autophagy characterised by LC3B-II upregulation and mTOR suppression.73 Additionally, Pelorol 68 and 5-epi-ilimaquinone 69, two meroterpenoids isolated from Dactylospongia elegans, exhibited cytotoxicity against 501Mel melanoma cells with IC50 values of 3.02 μM and 1.72 μM, respectively (72 h). Both compounds induced G1 cell cycle arrest and triggered apoptosis via modulation of apoptosis-related genes (e.g., BAX, BCL2, BIRC5, MCL-1) and microRNAs (e.g., upregulation of miR-16-5p, miR-193a-3p, and down-regulation of miR-214-3p).74
In addition to anti-inflammatory effects, several sponge-derived compounds have exhibited notable antiviral activity. For example, ircinialactam J 84, isolated from Ircinia felix, potently inhibited human adenovirus type 5 by interfering with the viral life cycle prior to nuclear genome entry.81 2-Bromoaldisine 85, a brominated pyrrolactam alkaloid isolated from Stylissa massa, showed inhibitory activity against HIV-1 Vpr-mediated suppression of cell proliferation in the TREx-HeLa-Vpr model at 10 μM, with a proliferation recovery comparable to that of the positive control damnacanthal.82 Furthermore, ascandinine C 86, isolated from Aspergillus candidus HDN15-152, displayed potent activity against influenza A virus, with an IC50 value of 26 μM.68
Sponge-derived compounds have also shown potential in vascular activity regulation. Spiroetherone A 87 (IC50 = 2.4 μM) and B (IC50 = 8.7 μM), two sesquiterpene naphthoquinones from Dysidea etheria, inhibited angiogenesis in a zebrafish model. Notably, spiroetherone A also showed selective cytotoxicity toward NCI–H929, HepG2, A549, and SK-OV-3 cells (IC50 = 7.4–12.2 μM), but was non-cytotoxic to HEK293 cells at 32 μM.83
Lastly, a number of compounds have demonstrated immunostimulatory or ROS-modulating activities. Cyclobutastellettolides A 88 and B 89, two C19 norterpenoids from the sponge Stelletta sp., significantly increased ROS production in murine peritoneal macrophages at non-cytotoxic concentrations. At 10 μM, cyclobutastellettolide A and B enhanced ROS levels by 93% and 90%, respectively, suggesting their potential as immunostimulatory agents.84 Similarly, assimiloside A 90, a glycolipid isolated from Hymeniacidon assimilis, stimulated lysosomal activity (25–57%) and elevated intracellular ROS levels (15–35%) in RAW 264.7 macrophages at non-cytotoxic concentrations ranging from 0.01 to 10 μM.85
Tedaniophorbasins A 106 and B 107, isolated from the marine sponge Tedaniophorbas ceratosis, represent a structurally distinct class of pteridine alkaloids incorporating a rare thiomorpholine ring, a feature not previously observed in marine natural products.92 Tedaniophorbasin A possesses a 2-imino functional group, while B is its corresponding 2-oxo derivative, and both structures display substitution at the C-7 position, a modification unprecedented among known pteridines of natural origin. Although these compounds exhibited no detectable activity in antimalarial, cytotoxic, or antitrypanosomal assays at concentrations up to 40 μM, their strong yellow colouration and pronounced UV absorbance prompted further analysis of their photophysical behaviour. Both tedaniophorbasins showed striking cyan fluorescence with dual excitation wavelengths (λex = 280 and 419 nm) and a shared emission maximum at 490 nm, accompanied by large Stokes shifts (∼14
000 cm−1). These properties point to notable electronic transitions and potential excited-state rearrangements. The combination of broad UV absorption and intense visible fluorescence suggests that these metabolites may function in roles beyond direct antimicrobial defence. Specifically, their photophysical traits support potential ecological functions such as UV shielding, serving as biological sunscreens, or as donor luminophores involved in marine bioluminescence systems. These findings underscore the importance of investigating not only bioactivity but also physicochemical traits when evaluating the functional diversity of sponge-derived natural products.
9,11-Dihydrogracillinone A 108, a nor-diterpenoid from the Antarctic sponge Dendrilla antarctica, showed potent antifouling activity in a 90-day marine field assay. When incorporated into rosin-based paint at 25 mg%, it reduced macrofouling organism coverage on submerged panels to <10%, compared to ∼80% in the control group. This result demonstrates its potential as an eco-friendly antifouling agent for marine applications.93
In response to these challenges, the research focus is gradually shifting from compound-centred discovery toward microbe-centred and gene-guided strategies. Key developments include improved methods for separating and cultivating sponge symbionts, genome-based tools for predicting BGCs, and chemical-based approaches such as in situ detection and metabolomics.20,97,98 These methods are increasingly used together to improve the reliability and scope of natural product discovery.99–102
Recent reviews have provided valuable insights into the structural diversity and biological activities of sponge-associated microbial metabolites, with particular attention to antimicrobial compounds and the taxonomic classification of their microbial sources.103,104 Some have also discussed cultivation strategies or genome-based discovery in specific contexts.105,106 However, these aspects have typically been treated separately, and a comprehensive perspective that integrates the full range of methodologies, from microbial separation to chemical-based detection, remains lacking.
This review builds on previous efforts by outlining how evolving methodologies such as microbial separation, cultivation, genome-based discovery, and chemical approaches are being applied in a complementary way. Instead of focusing solely on compound inventories, it brings together these strategies to provide a broader understanding of how sponge-associated microbial natural products are explored today.
Finally, ensuring the reliability of metagenomic analysis of sponge-associated microbial communities requires minimizing contamination from host DNA and unrelated microbial DNA. Schmieder and Edwards (2011) pointed out that host-derived DNA acts as a major noise source in metagenomic data analysis, compromising the accuracy of similarity assessments and functional pathway interpretations.125 Although they demonstrated that host DNA can be removed using the bioinformatics filtering tool DeconSeq, they indirectly suggested that the physical separation of host tissues and symbiotic microbes during sampling is essential for fundamentally improving data quality. Knights et al. (2011) further supported this view by showing that data refinement processes, such as host DNA removal, significantly enhance the accuracy of metabolic pathway analysis and similarity assessments of microbial communities.126 They reported that datasets excluding host DNA more clearly revealed the structure and contributions of metabolic pathways. Pereira-Marques et al. (2019) reported that a high proportion of host DNA reduces the sensitivity of metagenomic sequencing, making it difficult to detect low-abundance microbial species.127 Marotz et al. (2018) demonstrated that the chemical removal of host DNA increases the microbial DNA ratio, improving analytical accuracy.128 These studies emphasize that combining physical separation with chemical host DNA removal during the sample preparation stage critically enhanced data quality. In conclusion, bioinformatics filtering and physical host DNA removal play complementary roles in metagenomic data analysis. By thoroughly excluding host DNA or combining physical and chemical separation methods during the initial sampling stage, researchers can reduce data noise and more clearly evaluate microbial communities' genetic contributions and metabolic pathways.
Separating microbial communities from host tissues in sponges is a critical step for the success of natural product discovery, ecological role research, and advanced genomic analysis. This separation improves data reliability, facilitates the interpretation of complex ecological networks, and maximizes the potential value of sponge-associated microorganisms. Fig. 1 illustrates an overview of the major microbial separation techniques used in recent studies, highlighting their key steps and methodologies.
Following physical disruption and filtration, stepwise centrifugation further enhances the purity and recovery of microbial communities. In a study on Halichondria okadai, stepwise centrifugation (500g, 1000g, 3000g, 8000g) progressively removed sponge cells and enriched microbial fractions, reducing host-derived DNA to 0.02%. Metagenomic analysis confirmed that the enriched pellet was predominantly composed of bacteria.131 Similarly, in research on Discodermia dissoluta, collagenase treatment (500 μg mL−1) was employed to digest sponge tissues enzymatically, followed by blending and a combination of stepwise centrifugation and filtration, successfully increasing the purity of microbial communities.132
However, these simple methods have several limitations. The heat generated during physical disruption may negatively affect certain sensitive microorganisms, potentially hindering their cultivation. Excessive pressure during filtration can also cause microbial cell damage or loss. Furthermore, while stepwise centrifugation provides high-purity fractions, it cannot completely remove sponge cells, leaving trace amounts of host contaminants (e.g., host DNA) that may introduce inaccuracies into analysis results. Despite these limitations, these methods remain a primary approach in sponge symbiont research due to their simplicity and ability to handle large sample volumes efficiently.
Density gradient media such as Ficoll, Percoll, and Urografin are widely used for sponge cell fractionation, as they create gradients with varying densities and viscosities, enabling the effective separation of sponge cells and symbiotic microorganisms. Among these, Ficoll is particularly favoured in sponge research due to its ability to form stable density gradients while minimizing cell damage.133–138 A study on Euryspongia arenaria demonstrates the application of Ficoll-based density gradients.133 In the experiment, differential centrifugation at 100×g was first performed to remove most extracellular microorganisms, followed by a gradual increase in centrifugal force to fractionate the microbial community. Subsequently, Ficoll density gradient centrifugation was used to isolate archaeocytes from the 20–30% Ficoll layer and choanocytes from the 10–20% Ficoll layer. Each cell type was fractionated with over 70% purity, and DNA sequencing analysis of these fractions revealed that archaeocytes and choanocytes harbored distinct microbial communities. Specifically, Chlamydiae, Spirochaetes, and Candidatus Tectomicrobia were detected in the archaeocyte fraction, suggesting that these bacteria are likely endosymbionts. In contrast, a distinct microbial community was also observed in the choanocyte fraction, but it did not include the specific bacterial taxa found in archaeocytes. These findings suggest that each sponge cell type maintains a unique symbiotic microbial community and may have functionally distinct roles.
Percoll consists of colloidal silica particles coated with polyvinylpyrrolidone and can maintain its density gradient even under high-speed centrifugation, making it useful for specific cell fractionation studies. Due to these properties, Percoll may be a better choice than Ficoll for fractionation based on cell size and density differences.139,140 This approach was applied in a study on Haliclona sp., where Percoll density gradient centrifugation was used to effectively fractionate sponge cells and symbiotic microorganisms.139 The research team applied Percoll density gradients to separate nine major cell layers (A1–A9) based on size and density differences. Transmission electron microscopy (TEM) analysis revealed that layers A1–A4 primarily contained sponge cells, including choanocytes, archaeocytes, and mesohyl cells, whereas layers A5–A9 were composed mainly of symbiotic dinoflagellates and nematocysts. Chemical analysis of each cell layer showed that the cytotoxic alkaloids haliclonacyclamines A and B were detected exclusively in layers A1–A4, while no traces were found in the symbiotic dinoflagellate-containing layers A5–A9. Based on these findings, the researchers concluded that the cytotoxic alkaloids of Haliclona sp. are more likely to originate from sponge cells rather than symbiotic dinoflagellates. These results suggest that density gradient centrifugation can serve as a crucial tool for accurately identifying the producer cells of specific secondary metabolites.
A study has applied an approach utilizing the sequential use of Ficoll and Percoll to perform both initial fractionation and fine-scale fractionation. In the study by Flowers et al. (1998), a two-step density gradient centrifugation method incorporating Ficoll and Percoll was employed to achieve a higher-purity separation of sponge cells and the symbiotic cyanobacterium Oscillatoria spongeliae in Dysidea herbacea.138 They first applied a discontinuous Ficoll density gradient ranging from 15% to 46%, fractionating the sample into seven distinct cell layers (A1–A7). Subsequently, layers A4–A7, which were identified to contain cyanobacteria, were further purified using a Percoll density gradient (20–80%), yielding four additional major cell layers (B1–B4). Upon further fractionation with the Percoll gradient, the B4 layer still contained some sponge cells, whereas layers B5–B7 exhibited a higher purity of cyanobacteria. Notably, in layers B6 and B7, O. spongeliae was fractionated with over 99% purity. These findings demonstrated that an initial fractionation using Ficoll followed by additional purification with Percoll enables the separation of sponge cells and symbiotic microorganisms with higher precision.
Urografin is an iodinated contrast agent with high density and viscosity, which can enhance the stability of density gradients due to its high viscosity. It can also be used as a density gradient medium for the separation of cells and bioactive compounds. Song et al. (2011) utilized Urografin density gradient centrifugation to study the intracellular localization of the bioactive compounds debromohymenialdisine (DBH) and hymenialdisine (HD) in Axinella sp. The research team first performed an initial cell fractionation using differential centrifugation, followed by the application of a 10–30% Urografin density gradient to separate four major cell layers (C1–C4).141 TEM analysis revealed that the C1 layer was primarily composed of dark brown spherulous cells. High-performance liquid chromatography analysis showed that DBH (10.9%) and HD (6.1%) were detected at the highest concentrations in the C1 layer. Based on these findings, the researchers suggested that spherulous cells serve as the primary storage sites for DBH and HD. This demonstrates that Urografin can be used as an important tool for understanding the cellular localization and origin of metabolites.
Studies utilizing density gradient centrifugation have contributed to a more detailed understanding of sponge cells and their symbiotic microorganisms. As various density gradient media and methods continue to be applied, research on sponge-microbe interactions is expected to become more refined in the future.
Mukherjee et al. (2015) utilized flow cytometry to classify cells from the sponge Eunapius carteri into three major cell populations (P1, P2, P3) based on cell size and internal complexity.143 The analysis revealed that the P1 group consisted of small cells such as choanocytes, small amoebocytes, and blast-like cells, while the P2 group comprised large amoebocytes and archaeocytes characterised by their complex internal structures. The P3 group included granular cells and sclerocytes, distinguished by their highly complex internal structures and numerous vesicles. Notably, the researchers observed the production of superoxide anions (O2−) and NO in the P2 group, indicating strong immune responses. This finding suggests that these cells play a critical role in maintaining symbiotic microbial populations while eliminating external pathogens.
In another study, sponge cells and the symbiotic bacterium O. spongeliae from D. herbacea were separated using flow cytometry.144 The researchers obtained initial cell pellets from sponge tissues through centrifugation and successfully isolated O. spongeliae with over 95% purity using flow cytometry based on the natural fluorescence signal of phycoerythrin exhibited by the symbiotic cyanobacterium. Organic solvent extraction of the isolated symbiont fraction revealed that the major brominated metabolite, 2-(2′,4′-dibromophenyl)-4,6-dibromophenol, was detected exclusively in this fraction. These findings indicate that this metabolite is derived from the symbiotic cyanobacterium O. spongeliae.
In conclusion, these studies demonstrated that flow cytometry is a powerful tool for leveraging natural fluorescence signals to achieve high-purity separation of symbiotic microorganisms from marine sponges and to facilitate efficient research on their metabolites.
Magnetic-activated cell sorting (MACS) is a technique that uses magnetic nanoparticles to bind to cell surface antigens and employs an external magnetic field to retain the labeled cells in a magnetic column (e.g., MACS® Column), allowing for the separation of target cells.149,150 A study applied MACS with pipette tips to demonstrate its potential for bacterial separation.151 Researchers designed a highly magnetized 3D-printed pipette tip (MACS Tip) using commercial nickel mesh and neodymium magnets. They coated magnetic nanoparticles with mannose-binding lectin, which specifically binds to mannose residues on the lipopolysaccharides (LPS) of the E. coli outer membrane. By passing the bacterial mixture through the MACS Tip, selective separation of E. coli was achieved with a capture efficiency of approximately 90.5% ± 7.3%. These results demonstrate that magnetic-based cell separation techniques can exhibit excellent performance in removing non-target bacteria and enabling selective cell sorting. However, if target microorganisms lack specific antigens on their cell surface or possess extracellular capsules, antibody-based targeting can be challenging. Furthermore, non-specific binding and the presence of matrix contaminants may reduce the efficiency of MACS.
To overcome these limitations of MACS, magnetic probe-based cell fishing was developed.152 Unlike traditional MACS, this technique targets intracellular genetic sequences rather than cell surface antigens for selective bacterial separation. Researchers targeted the 23S rRNA sequences of E. coli DH10B and Acinetobacter sp. ADP1 to generate biotin-labeled RNA probes, which were hybridized in situ with intracellular ribosomal RNA. Streptavidin-coated paramagnetic beads were then added to bind with biotin, imparting magnetism to the cells. These magnetized cells were introduced into a magnetic cell sorting device containing NdFeB films. Through this process, E. coli DH10B, initially at a concentration of only 0.04%, was enriched to a high purity of 98.46%, with a cell recovery rate of approximately 50%. Similarly, Acinetobacter sp. ADP1 was enriched to a purity of 85%, with a recovery rate of around 40%. These results indicate that magnetic probe-based cell fishing significantly improves both cell recovery and selective separation efficiency compared to traditional MACS technologies. This study highlights that magnetic cell sorting, when applied using nucleic acid-targeted approaches, can achieve higher sensitivity and accuracy than antibody-based MACS. However, the requirement for cell fixation during in situ hybridization of RNA probes limits its applicability to live cell separation. Therefore, this technique is a useful tool for genome-based sponge symbiotic microorganism research and can be complementarily used with antibody-based MACS, depending on research objectives. The various microbial separation techniques discussed in Section 2 are summarized in Table 2.
| Method | Principle | Advantages | Limitations |
|---|---|---|---|
| Simple physical methods | Physical breakdown of tissue and stepwise separation by size/density | - Easy and cost-effective | - Possible microbial cell damage |
| - No specialized equipment required | - Residual host contamination | ||
| - Handles large sample volumes | - Limited separation precision | ||
| Density gradient centrifugation | Separation based on cell density in a stable gradient medium | - Enables high-resolution fractionation | - Requires gradient optimization |
| - Reduces host DNA contamination | - Lower throughput | ||
| - Allows cell-type-specific analysis | - Specialized reagents needed | ||
| Flow cytometry | Cell sorting using FSC/SSC and fluorescence signals | - High precision and purity | - Expensive instrumentation |
| - Enables live cell separation | - Requires trained personnel | ||
| - Useful for functionally distinct populations | - Often needs fluorescent labeling | ||
| Magnetic-activated cell sorting | Magnetic labeling of target cells using antibodies or RNA probes | - Selective and high-purity enrichment | - Requires target antigen or sequence |
| - Relatively low-cost and scalable | - Cell fixation may be needed (for RNA probes) | ||
| - Applicable to genome-level studies |
Similarly, Esteves et al. (2016) replicated the natural sponge environment using diluted marine broth and sponge extracts to create nutrient conditions that mirror the sponge habitat.159 Building on earlier findings that anaerobic metabolism, such as denitrification, and ammonium oxidation are prevalent in sponges,160 this study employed nitrate (NO3−)-enriched media for anaerobic cultivation and ammonium (NH4+)-added media for aerobic cultivation. As a result, microorganisms involved in nitrogen cycling, including bacteria known for nitrate reduction such as Photobacterium and Desulfovibrio, were successfully isolated.
Lavy et al. (2014) applied high-nutrient and low-nutrient media under various oxygen conditions to observe cultivation efficiency.161 Their results showed that 34% of OTUs grew in high-nutrient media, 49% in low-nutrient media, and 17% in both, indicating higher cultivation efficiency in low-nutrient media.
These findings indicate that low-nutrient media, those tailored to specific metabolic pathways, are crucial for enhancing the cultivation success of diverse sponge-associated bacteria.
Selvin et al. (2009) incorporated sponge extracts, antibiotics, and signal molecules such as N-acyl-homoserine lactones (GMDs) into actinomycete-selective media to isolate Actinobacteria.162 Among these, AHLs function as quorum-sensing molecules, activating microbial metabolic processes, regulating growth, and providing a competitive advantage to slow-growing bacteria. The application of these cultivation conditions significantly increased the diversity of isolated strains, with Actinobacteria accounting for 46% of all isolates.
Versluis et al. (2017) applied 13 individual antibiotics or antibiotic combinations to inhibit the growth of certain Proteobacteria strains and successfully isolated 27 previously uncultured OTUs.163 Among them, 14 belonged to the Actinobacteria group, suggesting that selective antibiotic pressure can facilitate the isolation of specific bacterial taxa.
Montalvo et al. (2014) utilized various culture media and antibiotics to isolate 434 pure bacterial strains from Xestospongia muta and Xestospongia testudinaria, identifying over 90 bacterial species.158 To maximize the diversity of culturable microorganisms from sponge tissues, the researchers applied 18 different culture media, with some media supplemented with selective antibiotics (e.g., cycloheximide, nalidixic acid, nystatin) to regulate the growth of specific bacterial groups. Through these methods, a diverse microbial community, including Actinobacteria, Firmicutes, and Proteobacteria, was successfully cultivated, with Actinobacteria exhibiting the highest diversity.
For example, the major sponge symbiont Poribacteria possesses genes required for CO2 fixation via the Wood–Ljungdahl pathway, suggesting its adaptation to carbon-limited environments.165 Based on this, culture media with high CO2 concentrations or low organic carbon content can be designed to promote its growth. Similarly, the sponge-associated archaeon Cenarchaeum symbiosum contains genes related to ammonia oxidation and CO2 fixation.166 This indicates that ammonia-supplemented media under low-oxygen conditions may facilitate its growth.
Furthermore, genomic analysis results of the sponge symbiotic cyanobacterium “Candidatus Synechococcus spongiarum” across three lineages revealed an abundance of genes related to DNA modification and recombination compared to free-living cyanobacteria, while genes associated with inorganic ion transport, metabolism, cell wall biosynthesis, and signal transduction were reduced.167 Decreasing antioxidant enzymes and low-weight peptides in Photosystem II suggest unique physiological adaptations, such as siderophore-mediated iron transport and external methionine dependency. Consequently, culture conditions enriched with iron and supplemented with methionine may enhance their growth. Genomic analysis of sponge-associated Entotheonella spp. indicates that these microorganisms are likely mixotrophs, capable of utilizing various carbon sources but synthesizing only a limited set of proteinogenic amino acids (Cys, Met, Lys, Thr, Ser). Therefore, growth conditions may need to include diverse carbon sources and free amino acids to accommodate their metabolic characteristics. Additionally, their abilities for anaerobic respiration and sulfate reduction suggest that providing sulfate and maintaining controlled oxygen levels or anaerobic conditions could enhance their cultivation success.
Metagenomic studies of A. aerophoba revealed microbial groups enriched in genes associated with carnitine and sulfated polysaccharide metabolism, components abundant in the extracellular matrix of sponges.168 Incorporating carnitine and sulfated polysaccharides into culture media could support the growth of sponge symbionts reliant on these resources.
To date, there have been few cases where genome-based research has directly led to the successful cultivation of sponge-associated microorganisms. However, genomic analysis provides crucial insights into their metabolic pathways, environmental adaptation mechanisms, and nutritional requirements. This information can help overcome the limitations of traditional cultivation methods and suggests the potential for designing tailored cultivation strategies based on specific metabolic traits. Future research should integrate experimental validation with genomic data to effectively enhance the cultivation success of sponge-associated microorganisms.
Sipkema et al. (2011) applied the floating-filter cultivation method to culture sponge-associated microorganisms derived from Haliclona sp.157 They used black polycarbonate filters (0.1 μm pore size) and observed that two types of colonies formed on the filter: macrocolonies and microcolonies. While microcolonies were barely visible to the naked eye, they accounted for approximately 80% of the total colonies, indicating a high frequency of occurrence. A total of 60 OTUs were isolated using the floating-filter method, among which 23 OTUs had not been cultured previously using conventional solid or liquid media.
Wiegand et al. (2018) successfully applied the floating-filter cultivation method to isolate microorganisms belonging to the Planctomycetes phylum from marine and freshwater environments.169 The researchers placed culture media in six-well culture plates and used black polycarbonate filters with a 0.1 μm pore size to culture microorganisms in a floating state. The culture media contained various antibiotics, including cycloheximide, carbenicillin, and streptomycin, which were used to inhibit the growth of fast-growing bacteria and selectively isolate specific microorganisms. Using this approach, the researchers isolated four novel species of Planctomycetes, which were previously unculturable using conventional methods. 16S rRNA gene sequencing confirmed that these isolates represented previously unreported microbial species.
These studies suggest that the floating-filter cultivation method can serve as an alternative approach for isolating microorganisms that cannot be cultured using traditional methods. In particular, this method may be a valuable tool for studying the physiological characteristics of specific microbial groups, such as Planctomycetes.
Bollmann et al. (2007) applied the diffusion growth chamber to culture microorganisms in a freshwater pond sediment rather than a marine sediment environment.171 The chamber used in this study consisted of a 0.03 μm pore-size polycarbonate membrane attached to a stainless-steel O-ring, with an interior filled with agar medium mixed with environmental samples. The chamber was then sealed and placed back into the natural environment for incubation. Over 16 weeks, four generations of diffusion growth chambers were used consecutively. Analysis of the distribution of cultured strains revealed that 59% of the newly isolated strains were detected exclusively through the diffusion growth chamber method. Specifically, 62 species of Alphaproteobacteria, 69 species of Betaproteobacteria, 7 species of Gammaproteobacteria, 1 species of Deltaproteobacteria, 12 species of Bacteroidetes, 5 species of Verrucomicrobia, 2 species of Acidobacteria, 4 species of Spirochaetes, 6 species of Firmicutes, and 6 species of Actinobacteria were successfully cultured. Among these, Verrucomicrobia and Acidobacteria required at least two generations of diffusion growth chambers before they could be successfully cultivated.
Steinert et al. (2014) were the first study to apply the diffusion growth chamber for the cultivation of symbiotic microorganisms within sponge tissue, utilizing a chamber with a structurally distinct design from previous studies.172 Instead of the stainless-steel ring-based design, this study employed a modified centrifuge microfilter section with an integrated 0.2 μm pore-size filter, allowing direct insertion into sponge tissue. The research team homogenized Rhabdastrella globostellata sponge tissue and introduced a suspension of microbial cells mixed with various concentrations of culture media into the diffusion growth chamber. The chamber was then inserted into the sponge tissue and incubated for four weeks. As a result, a total of 255 sequences of 16S rRNA genes were obtained. Analysis of these sequences revealed the presence of 83 sequences from Alphaproteobacteria, 96 from Gammaproteobacteria, 19 from Bacteroidetes, 14 from Actinobacteria, and 43 from Firmicutes. Additionally, 15 of the sequences represented previously uncultivated strains. This study marked the first case of inserting a diffusion growth chamber into sponge tissue for cultivating sponge-associated microorganisms, demonstrating a novel approach distinct from previous studies based on marine or freshwater sediment environments.
Nichols et al. (2010) demonstrated that the iChip system enabled the cultivation of over 40% of bacterial cells in seawater samples and over 50% in soil samples.175 This increase in cultivation efficiency represents a fivefold improvement in microbial recovery rates. Additionally, Berdy et al. (2017) reported that microbial recovery using iChip varied from 5- to 300-fold higher than traditional methods, depending on the specific environmental sample, further emphasizing its effectiveness in cultivating previously uncultivable species.84,176
The iChip system also supports high-throughput screening by simultaneously cultivating thousands of micro-wells. This feature has proven useful for large-scale antimicrobial activity screening, including the first discovery of the antibiotic teixobactin by Ling et al. (2015).177 They tested approximately 10
000 microbial isolates obtained from soil samples using the iChip system for activity against S. aureus. This led to the discovery of a new beta-proteobacterium species, Eleftheria terrae, which exhibited strong antimicrobial activity. MacIntyre et al. (2019) demonstrated the successful application of iChip technology to marine sponges, specifically Xestospongia muta.178 Researchers implanted iChips into sponge tissues and isolated a novel bacterial strain, Alteromonas sp. RKMC-009, which produced a unique N-acyltyrosine derivative with potent antimicrobial properties against Gram-positive bacteria.
Recent advancements have explored combining iChip technology with co-culture techniques to further enhance microbial cultivation. Lodhi et al. (2018) hypothesized that while iChip is effective in isolating single microbial species, some bacteria may depend on metabolic interactions with neighboring species for growth. Accordingly, they proposed that integrating co-culture techniques with iChip could enhance the cultivation of previously unculturable microorganisms by facilitating metabolic interactions between different bacterial species. However, further experimental validation is required to confirm the effectiveness of this approach.179
Zengler et al. (2002) isolated microbial cells from marine samples and encapsulated them individually using agarose gel.181 These cells were cultivated under low-organic medium in a growth column designed to mimic a flow-through system. After cultivation, microcolony included GMDs were discriminated by using flow cytometry. As a result, previously uncultivable microbial lineages such as Planctomycetes and the Cytophaga-Flavobacterium-Bacteroides group were successfully cultivated.
Toledo et al. (2006) separated symbiotic microbial cells from the marine sponge Mycale armata and encapsulated them in agarose-based gel microcapsules.182 These capsules were cultured for five weeks in media containing sterile seawater diluted with sponge homogenates. Afterward, microcolonies formed within the capsules were isolated using flow cytometry, and Fourier-transform infrared (FT/IR) spectroscopy was employed for dereplication of redundant strains. Ultimately, the microcapsule-based cultivation method demonstrated approximately six times higher novel species isolation efficiency than traditional Petri dish methods, resulting in the discovery of five potential candidate strains which produce novel secondary metabolites.
The micron-scale Microbial Domestication Pod (μMD Pod) was developed as an enhanced version of the original MD Pod, enhancing its adaptability for in situ cultivation within small marine invertebrates while maintaining its core design principles.184 The μMD Pod features porous wall structures with 10 μm pores, fabricated using two-photon polymerization technology. These structures facilitate efficient nutrient and signal molecule exchange, eliminating the need for fragile filter membranes used in the MD Pod. This improvement allows the μMD Pod to perform effectively in challenging environments, such as marine sediments and small invertebrates, where conventional cultivation devices face limitations. Another distinguishing feature of the μMD Pod is its replacement of semipermeable membranes with porous structures, simplifying the microbial encapsulation and nutrient delivery process while maintaining natural interactions with the surrounding environment. In experiments, microbial strains such as Sphingomonas phyllosphaerae and Streptomyces sp. were encapsulated in agarose beads and incubated. Fluorescence microscopy confirmed stable cell growth within the μMD Pod, confirming its viability as an in situ cultivation device. In conclusion, the μMD Pod builds on the MD Pod's foundational concept, enhancing structural durability and cultivation efficiency, thereby broadening the potential for microbial isolation and bioprospecting in previously inaccessible environments.
Marine environmental DNA can be sequenced using advanced technologies such as next-generation sequencing, PacBio, and nanopore sequencing, generating sequence data that can be assembled into contigs. These contigs are classified based on genomic characteristics such as GC content and codon usage patterns, allowing the reconstruction of microbial genomes. This process, known as binning, plays a crucial role in distinguishing genome fragments belonging to different microbial taxa. The identification of biosynthetic gene clusters through metagenomics is performed using bioinformatics tools such as antiSMASH, PRISM, MetaBGC, SMBP, and NaPDoS. These identified gene clusters can then be compared against large-scale databases such as antiSMASH, IMG-ABC, and MIBiG to analyse homology with known gene clusters and elucidate novel biosynthetic pathways.186–194
Although the identification of biosynthetic gene clusters from marine microbes remains a challenging task, metagenomics has proven instrumental in the discovery of bioactive natural products derived from marine invertebrates such as sponges, tunicates, and bryozoans.195 Comparative metagenomics, which involves comparing metagenomic datasets from different environments, is a useful approach for identifying unique biosynthetic gene clusters within specific microbial communities. Recent comparative metagenomic studies have identified 5082 BGCs in high-microbial-abundance sponges, with most of them classified as novel clusters showing no homology to previously known gene clusters.97 This study demonstrated that BGCs found in sponges are markedly distinct from those in surrounding marine environments and that certain BGCs are consistently present in specific sponge species. Notably, non-ribosomal peptide synthetase (NRPS) and ribosomally synthesized and post-translationally modified peptides (RiPPs) were found to be predominant, suggesting that these biosynthetic pathways are evolutionarily conserved among sponge-associated microbes.97
Targeted metagenomics is another approach that focuses on specific biosynthetic pathways or gene clusters associated with particular natural products, providing an advantage over conventional random metagenomic analysis in identifying functionally relevant biosynthetic gene clusters. This method selectively analyses target genes or pathways of interest, enhancing the identification of biosynthetic origins. It has played a critical role in determining the true microbial producers of marine-derived natural products with previously unclear origins. For example, the anticancer compound bryostatin, originally thought to be derived from the marine bryozoan Bugula neritina, was later confirmed to be produced by the symbiotic bacterium Candidatus Endobugula sertula through targeted metagenomic analysis.196 Similarly, ET-743 (Yondelis®), a well-known anticancer drug initially attributed to the sea squirt Ecteinascidia turbinata, was later found to be biosynthesized by the symbiotic bacterium Candidatus Endoecteinascidia frumentensis.197 By using metagenome-based biosynthetic pathway analysis, the complete biosynthetic route of ET-743 was identified, allowing its large-scale semi-synthetic production using an industrial microbial strain. This approach, adopted by the Spanish pharmaceutical company PharmaMar, enabled the commercialization of ET-743 as a novel anticancer drug, demonstrating the potential of metagenomics in natural product discovery. In addition to these examples, patellazole (antifungal), polytheonamide (anticancer), and calyculin A (phosphatase inhibitor) were also identified through targeted metagenomic analysis, significantly expanding our understanding of the complex biosynthetic pathways found in marine microorganisms.198–200
Currently, metagenomic research on marine-derived natural products is primarily focused on elucidating biosynthetic pathways and analysing functional genes encoding biosynthetic enzymes, yet several major challenges remain. In particular, while metagenomic sequencing has identified numerous biosynthetic gene clusters, a significant proportion of these clusters remain uncharacterised and are classified as silent biosynthetic gene clusters, which are not naturally expressed under standard conditions. To overcome this issue, efforts have been made to optimize heterologous expression systems and apply synthetic biology techniques to activate gene expression.
Kvist et al. (2007) introduced a technique for targeting and isolating single cells from uncultivated microbial populations, followed by whole-genome amplification via multiple displacement amplification.100 In this study, researchers employed fluorescence in situ hybridization (FISH) to label specific microbial cells, which were subsequently isolated using a micromanipulator, demonstrating the feasibility of genome analysis at the single-cell level even in non-cultivable microbes. While FISH-based cell sorting is effective for targeting specific microbes, it suffers from low throughput. To overcome this limitation, recent single-cell genomic studies have increasingly adopted FACS-based approaches to achieve rapid and high-throughput isolation of individual cells.202
In a study by Pachiadaki et al. (2019), this method was applied to isolate 12
715 single-amplified genomes (SAGs) from tropical and subtropical marine environments, enabling a systematic analysis of the biosynthetic potential of marine prokaryotes.203 The study revealed that many SAGs contained diverse BGCs encoding terpenes, bacteriocins, polyketides (PKS), and NRPS, suggesting that marine microorganisms possess significant genetic potential for bioactive compound production. Moreover, single-cell genome analysis allowed for the phylogenetic characterisation of NRPS and PKS clusters, uncovering these biosynthetic pathways in microbial lineages not previously represented in public databases. This finding expands the potential for discovering secondary metabolites from uncultivated marine microbes, reinforcing the value of single-cell genomics as a powerful tool for natural product discovery and biosynthetic pathway analysis.
A more recent study introduced MERMAID (Microfluidic Encapsulation, Raman Microscopy, and Integrated Digital Genomics), a novel method that integrates Raman microscopy with single-cell genomics for the targeted identification of secondary metabolite producers. MERMAID involves encapsulating individual cells within a microfluidic system, analysing their metabolic signatures using Raman microscopy, and selecting specific cells for single-cell genome sequencing. Kogawa et al. (2022) applied this technique to the symbiotic microbiome of the marine sponge T. swinhoei, successfully identifying an aurantoside producer that had previously remained undetected through metagenomic binning.204 This led to the discovery of a novel Chloroflexi symbiont, ‘Candidatus Poriflexus aureus,’ which harbors a 14 Mbp genome enriched with multiple BGCs. Among these, the researchers identified a PKS-NRPS hybrid BGC responsible for aurantoside biosynthesis, along with 19 additional BGCs, underscoring the greater-than-expected chemical diversity within sponge-associated microbiomes.
Compared to metagenomic approaches, single-cell sequencing offers cleaner and less contaminated genomic sequences, facilitating the identification of previously undetected BGCs and enhancing the potential for novel natural product discovery. However, the WGA process introduces risks of DNA loss and amplification errors, and successful cultivation of strains identified through single-cell genomics remains rare. Despite these challenges, the integration of FACS-based single-cell approaches with metagenomics is expected to play a crucial role in advancing NP BGC discovery.202
Once isolated, BGCs can be expressed in their native form or undergo modifications to improve production yields and generate novel analogues. Engineering strategies involve modifying promoters, regulatory genes, post-modification genes, or even PKS domain structures to optimize BGC performance.207–209
Actinobacteria, particularly Streptomyces species, are the primary chassis used for NP heterologous expression due to their established genetic tools and secondary metabolite production capabilities. S. coelicolor and S. lividans are widely used model strains, while S. albus and S. venezuelae have gained attention due to their rapid growth and abundant precursor supply.209,210
To enhance chassis productivity, several modifications are commonly implemented, including the removal of native BGCs to reduce competition for precursors, mutation of ribosome binding sites to increase translation efficiency, elimination of negative global regulators, and introduction of additional attachment sites to amplify BGC copy numbers.
Marine-derived natural products pose unique challenges due to the specialized metabolic systems of their microbial producers. Recognizing this limitation, researchers have developed MGCEP 1.0 (Marine Gene Cluster Expression Platform 1.0), an optimized chassis strain derived from Streptomyces atratus SCSIO ZH16. Expression trials using MGCEP 1.0 successfully produced nineteen compounds, including the novel angucycline compound, demonstrating the effectiveness of marine-specific chassis systems for NP production.211
Despite these advancements, heterologous expression still faces limitations, especially for the expression of silent or cryptic BGCs from marine microorganisms. As a complementary strategy, BGC awakening approaches have emerged as an alternative to directly induce expression of these clusters. Traditional OSMAC (One Strain, Many Compounds) methods, such as altering salinity, temperature, pH, or co-culturing with other microbes, have shown success in activating silent gene clusters.212 Moreover, recent synthetic biology techniques, including promoter refactoring, overexpression of pathway-specific regulators, and chassis optimization, enable targeted activation of these silent BGCs.212 Integrating awakening strategies with marine-specific heterologous expression platforms is expected to greatly expand the accessible chemical space of marine-derived natural products, thereby accelerating novel compound discovery.
La Clair et al. (2014) designed an artificial sponge device that mimics the physical structure and functional properties of natural marine sponges, and deployed it in marine environments for extended periods to successfully capture bioactive compounds.213 The device is centred around a hollow-fiber bioreactor, which provides a surface for microbial colonization and includes a resin (Amberlite XAD-18) capable of adsorbing metabolites. It operates in three main stages: (1) inoculation through the introduction of seawater from sponge-rich environments, (2) incubation for several days in situ, and (3) recovery of the device followed by extraction of adsorbed metabolites from the internal resin. This approach enables the collection of microbial metabolites while preserving the native microbial community, minimizing ecological disturbance, and offering a sustainable strategy for natural product exploration.
A notable compound group collected using this device includes jasplakinolide-class depsipeptides, which were found to have identical structures to those previously isolated from sponges in the same region. This result suggests that device-based strategies can complement or even replace traditional sponge sampling techniques in certain contexts. Such device-based in situ compound capture strategies were later adapted into simpler resin-based systems, as exemplified by technologies like SMIRC.
SMIRC enables the direct capture of small molecules from marine environments using resin adsorbents, bypassing the need for microbial cultivation (Fig. 4).98 This innovative method integrates high-resolution mass spectrometry (HRMS) and nuclear magnetic resonance (NMR) to identify novel compounds while leveraging genomic tools to explore their biosynthetic origins. In this study, the researchers deployed the resin adsorbent HP-20, known for its efficacy in capturing marine toxins across various polarities, in diverse marine environments. Among the identified compounds were cabrillostatin, which demonstrated selective bioactivity against cancer cell lines, and the newly discovered compounds cabrillospirals A and B, which exhibited no notable bioactivity. To explore potential links between these compounds and corresponding BGCs, the researchers extracted DNA from environmental samples and conducted the untargeted shotgun metagenomic analysis. This approach identified 1843 BGCs, grouped into 631 Gene Cluster Families based on sequence similarity. Many of these BGCs were classified as NRPS, terpenes, and RiPPs, with most representing novel pathways not listed in the MIBiG database. In their search for a PKS-NRPS hybrid BGC potentially responsible for producing cabrillostatin, the researchers examined 43 BGCs with similar characteristics but found no matches capable of synthesizing the same structure. Based on the chemical structure of cabrillospirals A and B, they predicted that its biosynthesis might involve a modular T1PKS, halogenases, a p-hydroxybenzoic acid starter unit, and methyltransferases responsible for the C-2 hydroxymethyl and C-8 methyl groups. Among the 68 T1PKS BGCs identified, two promising candidate genes were found in high-quality MAGs from the phylum Planctomycetes, though cultivation attempts for these Planctomycetes were unsuccessful. These results show the persistent challenges in linking chemical structures to BGCs within complex microbial communities. Although challenges in linking compounds to BGCs remain, SMIRC offers a cultivation-independent framework for discovering chemically diverse metabolites.
Recently, Louwen et al. (2023) developed NPLinker, a platform designed to facilitate this integration, and NPClassScore, a complementary scoring system that prioritizes meaningful links between MS/MS spectra and BGCs.102 NPClassScore assigns likelihood scores to BGC-spectrum pairs based on chemical class ontology, thereby reducing false positives and enhancing link prioritization. Notably, NPClassScore quantitatively connects structure-based classifications (e.g., ClassyFire, NPClassifier) with genome-based predictions (e.g., antiSMASH), maintaining 96% of experimentally validated BGC-MS/MS links while reducing the number of candidate links by an average of over 63%, significantly alleviating the burden of manual inspection.
In cases such as RiPPs, where BGC architectures are often atypical and metabolic diversity is high, metabolomics-based information offers critical guidance to complement genome mining. For instance, MetaMiner enables structural-genomic linkage of RiPP compounds by comparing substructures derived from MS/MS spectra with predicted peptide sequences from BGCs.219 This tool demonstrates high accuracy in predicting ribosomal core peptides and modification patterns, outperforming traditional spectrum-based comparison approaches. MetaMiner analysed approximately 10 million MS/MS spectra collected from eight diverse environmental sources, identifying 31 known RiPPs and 7 novel RiPPs. Among these, wewakazole was successfully isolated and structurally confirmed via NMR. Notably, in a sponge symbiont dataset derived from Theonella swinhoei, the genome of Candidatus Entotheonella sp. TSY1 was linked with ∼223
000 MS/MS spectra, allowing the identification of several BGCs (including four RiPP-type clusters) and suggesting structural relationships with the observed metabolites.
NPOmix is a k-nearest neighbor-based model that integrates chemical fingerprints and biosynthetic features to predict links between MS/MS spectra and BGCs.220 Utilizing 1040 paired omics datasets for training, NPOmix accurately predicted 13 MS/MS spectra corresponding to 11 experimentally validated BGC-spectrum links, including structural analogues. The model achieved a 92.9% top-3 accuracy, highlighting its high predictive power. Compounds such as albicidin, its analogues, and brasilicardin A were among those accurately linked, demonstrating the method's robustness.
These integrated approaches are especially effective in exploring unknown metabolites produced by complex microbial consortia such as sponge-associated microbiomes. By leveraging MS/MS data alongside genomic information, researchers can simultaneously infer structural characteristics and biosynthetic origins. Together, these tools enable metabolite-BGC linkage even in microbiomes where cultivation is not feasible.
In metabolomics, AI has been instrumental in automating the analysis of large-scale MS/MS datasets and prioritizing compounds from complex mixtures. Tools such as CANOPUS and NPClassifier classify natural products into chemical classes and predict their biosynthetic origins directly from MS/MS spectra, even in the absence of complete structural information.217,221 These classifiers have been successfully applied to the annotation of novel compounds such as rivulariapeptolide, offering insights into functional roles within structurally related families.222
AI has also advanced the field of structure elucidation. For example, SMART 2.0, a platform based on convolutional neural networks, enables rapid and accurate structural determination from NMR and MS data. This tool was used to resolve the structure of the complex macrolide symplocolide A with high efficiency.223
In addition, AI models are increasingly applied to predict the biological activity and potential molecular targets of natural products. A prominent example is Chemprop, a graph neural network-based framework that infers properties such as antimicrobial activity, toxicity, and protein target specificity from molecular structures.224 This approach facilitated the discovery of halicin and abaucin as antibiotic candidates, both of which were subsequently validated and shown to act through mechanisms distinct from traditional antibiotics.225,226
These examples collectively illustrate AI's ability to enhance both the precision and scalability of chemically driven natural product discovery. When integrated with conventional methodologies, AI can produce synergistic gains across the pipeline, from dereplication and annotation to lead prioritization. Looking ahead, the convergence of AI with metabolomics, structure elucidation, and activity prediction is expected to yield unified platforms capable of accelerating early-stage discovery from natural sources while expanding the chemical and biological space accessible to researchers.
The precise isolation and cultivation of symbiotic microorganisms are necessary to discover natural products from the sponge. Recent advancements in physical and chemical separation techniques, along with fine-controlled cultivation strategies, have significantly improved cultivation rates and compound productivity by addressing the unique metabolic pathways and physiological requirements of these microorganisms. Cell separation techniques such as density gradient centrifugation and flow cytometry enhance the accuracy of microbial separation and clarify the origins of natural products.
The genome- and chemistry-based approaches are powerful tools for understanding the metabolic pathways for cultivation, exploring the BGCs and chemical properties of natural products from sponge-associated microorganisms. Genomic analysis enables the prediction of metabolic pathways and BGCs, providing critical insights into novel natural product structures and functions. Techniques like single-cell genomics and heterologous expression systems allow researchers to elucidate individual microbial gene functions and produce natural products under laboratory conditions. At the same time, chemical-based approaches bypass the need for cultivation by directly identifying natural products from environmental samples, facilitating the discovery of compounds that are otherwise challenging to access. Together, these approaches accelerate the research pipeline from sponge symbionts to drug development and expand the potential for discovering novel bioactive compounds.
Recent studies on sponge-associated microorganisms have transcended traditional limitations by incorporating techniques, offering a more systematic understanding of complex host–microbe interactions and natural product biosynthesis mechanisms. These multidisciplinary approaches provide a strong foundation for discovering new compounds and understanding the ecological roles of microorganisms.
Future research must integrate genomic analysis, chemical exploration, and advanced biological cultivation techniques to achieve a deeper understanding of the complex ecological interactions and metabolic pathways of sponge symbionts. This effort should prioritize developing novel technologies targeting unculturable microorganisms and creating sustainable strategies for natural product production and utilization. Such integrated approaches are expected to significantly contribute to the development of new therapeutics based on bioactive compounds from sponge-associated microorganisms while enhancing our understanding of microbial roles in marine ecosystems.
Footnote |
| † Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d5np00013k |
| This journal is © The Royal Society of Chemistry 2025 |