Microbial Bioactives
Microbial Bioactives | Online ISSN 2209-2161
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Unlocking the Silent Biosynthetic Wealth of Marine Microbiomes: A Systematic Review and Meta-Analysis of NRPS and Polyketide Discovery Strategies
Mitul Bhuptani 1, Vijay Jagdish Upadhye 1, Ramji Gupta 2, Adesh Kolapkar 3
Microbial Bioactives 9 (1) 1-8 https://doi.org/10.25163/microbbioacts.9110614
Submitted: 10 November 2025 Revised: 25 January 2026 Accepted: 05 February 2026 Published: 07 February 2026
Abstract
Marine microbiomes have emerged as a vast and largely untapped reservoir of structurally diverse secondary metabolites with significant pharmaceutical potential. However, despite rapid advances in genome mining and metagenomics, the extent to which marine microbial communities consistently enhance natural product discovery has not been systematically quantified. This systematic review and meta-analysis critically evaluate discovery strategies targeting nonribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) biosynthetic systems within marine microbiomes. A comprehensive search across major databases identified studies employing culture-dependent screening, genome mining, metagenomic surveys, and integrative multi-omic approaches. Eligible studies reporting quantifiable measures of biosynthetic gene cluster (BGC) abundance, diversity, or experimentally validated metabolite detection were included in a random-effects meta-analysis to account for ecological and methodological heterogeneity. Effect sizes were calculated from reported discovery outcomes and synthesized using established meta-analytic frameworks. The pooled analysis revealed a statistically significant positive association between marine microbiome exploration and enhanced secondary metabolite discovery. Genome-enabled and symbiosis-focused investigations consistently produced larger effect sizes than traditional cultivation-based methods. Substantial heterogeneity was observed, reflecting genuine biological variation across marine habitats, taxa, and analytical pipelines rather than analytical instability. Funnel plot evaluation suggested mild asymmetry but did not indicate strong evidence of systematic publication bias. Collectively, the findings provide quantitative confirmation that marine microbiomes represent a reliable and underexploited source of biosynthetic innovation. The results emphasize the strategic importance of genome mining, metagenomics, and multi-omic integration for unlocking cryptic metabolic pathways and support prioritizing marine microbial systems in future natural product and drug discovery pipelines.
Keywords: Marine microbiome; secondary metabolites; natural products; genome mining; metagenomics; biosynthetic gene clusters; systematic review; meta-analysis
References
Alam, K., Islam, M. M., Li, C., Sultana, S., Zhong, L., Shen, Q., Yu, G., Hao, J., Zhang, Y., Li, R., & Li, A. (2021). Genome mining of Pseudomonas species: Diversity and evolution of metabolic and biosynthetic potential. Molecules, 26(24), 7524. https://doi.org/10.3390/molecules26247524
Aldholmi, M., Marchand, P., Ourliac-Garnier, I., Le Pape, P., & Ganesan, A. (2019). A decade of antifungal leads from natural products: 2010–2019. Pharmaceuticals, 12(4), 182. https://doi.org/10.3390/ph12040182
Amoutzias, G. D., Chaliotis, A., & Mossialos, D. (2016). Discovery strategies of bioactive compounds synthesized by nonribosomal peptide synthetases and type-I polyketide synthases derived from marine microbiomes. Marine Drugs, 14(4), 80. https://doi.org/10.3390/md14040080
Amoutzias, G. D., van de Peer, Y., & Mossialos, D. (2008). Evolution and taxonomic distribution of nonribosomal peptide and polyketide synthases. Future Microbiology, 3(3), 361–370.
https://doi.org/10.2217/17460913.3.3.361
Blanchette, R. A. (1995). Degradation of the lignocellulose complex in wood. Canadian Journal of Botany, 73, 999–1010. https://doi.org/10.1139/b95-350
Boddy, C. N. (2013). Bioinformatics tools for genome mining of polyketide and non-ribosomal peptides. Journal of Industrial Microbiology & Biotechnology, 41(3), 443–450. https://doi.org/10.1007/s10295-013-1368-1
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Wiley. https://doi.org/10.1002/9780470743386
Calteau, A., Fewer, D. P., Latifi, A., Coursin, T., Laurent, T., Jokela, J., Kerfeld, C. A., Sivonen, K., Piel, J., & Gugger, M. (2014). Phylum-wide comparative genomics unravel the diversity of secondary metabolism in Cyanobacteria. BMC Genomics, 15, 977. https://doi.org/10.1186/1471-2164-15-977
Cimermancic, P., Medema, M. H., Claesen, J., Kurita, K., Wieland Brown, L. C., Mavrommatis, K., Pati, A., Godfrey, P. A., Koehrsen, M., Clardy, J., & Fischbach, M. A. (2014). Insights into secondary metabolism from a global analysis of prokaryotic biosynthetic gene clusters. Cell, 158(2), 412–421.
https://doi.org/10.1016/j.cell.2014.06.034
Davidson, S. K., Allen, S. W., Lim, G. E., Anderson, C. M., & Haygood, M. G. (2001). Evidence for the biosynthesis of bryostatins by the bacterial symbiont “Candidatus Endobugula sertula” of the bryozoan Bugula neritina. Applied and Environmental Microbiology, 67(10), 4531–4537.
https://doi.org/10.1128/AEM.67.10.4531-4537.2001
DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177–188. https://doi.org/10.1016/0197-2456(86)90046-2
Egger, M., Davey Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. https://doi.org/10.1136/bmj.315.7109.629
Fischbach, M. A., Walsh, C. T., & Clardy, J. (2008). The evolution of gene collectives: How natural selection drives chemical innovation. Proceedings of the National Academy of Sciences, 105(12), 4601–4608. https://doi.org/10.1073/pnas.0709132105
Garza, D. R., & Dutilh, B. E. (2015). From cultured to uncultured genome sequences: Metagenomics and modeling microbial ecosystems. Cellular and Molecular Life Sciences, 72(22), 4287–4308.
https://doi.org/10.1007/s00018-015-2004-1
Hatakka, A., & Hammel, K. E. (2010). Fungal biodegradation of lignocelluloses. In M. Hofrichter (Ed.), Industrial applications (pp. 319–340). Springer. https://doi.org/10.1007/978-3-642-11458-8_15
Hernández-Ortega, A., Ferreira, P., & Martínez, A. T. (2012). Fungal aryl-alcohol oxidase: A peroxide-producing flavoenzyme involved in lignin degradation. Applied Microbiology and Biotechnology, 93, 1395–1410. https://doi.org/10.1007/s00253-011-3836-8
Hertweck, C. (2015). Decoding and reprogramming complex polyketide assembly lines: Prospects for synthetic biology. Trends in Biochemical Sciences, 40(4), 189–199. https://doi.org/10.1016/j.tibs.2015.02.001
Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (2022). Cochrane handbook for systematic reviews of interventions (Version 6.3). Cochrane. http://www.training.cochrane.org/handbook
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. BMJ, 327(7414), 557–560. https://doi.org/10.1136/bmj.327.7414.557
Hofrichter, M., Kellner, H., Herzog, R., Karich, A., Kiebist, J., Scheibner, K., & Ullrich, R. (2022). Peroxide-mediated oxygenation of organic compounds by fungal peroxygenases. Antioxidants, 11, 163. https://doi.org/10.3390/antiox11010163
Jia, M., Gong, X., Fan, M., Liu, H., Zhou, H., Gu, S., Liu, Y., & Dong, J. (2023). Identification and analysis of the secretome of plant pathogenic fungi reveals lifestyle adaptation. Frontiers in Microbiology, 14, 1171618. https://doi.org/10.3389/fmicb.2023.1171618
Kersten, P., & Cullen, D. (2007). Extracellular oxidative systems of the lignin-degrading basidiomycete Phanerochaete chrysosporium. Fungal Genetics and Biology, 44, 77–87. https://doi.org/10.1016/j.fgb.2006.07.007
Kinner, A., Lütz, S., & Rosenthal, K. (2024). Biocatalytic screening of the oxidative potential of fungi cultivated on plant-based resources. AppliedChem, 4(3), 282–301. https://doi.org/10.3390/appliedchem4030018
Kubicek, C. P., Starr, T. L., & Glass, N. L. (2014). Plant cell wall-degrading enzymes and their secretion in plant-pathogenic fungi. Annual Review of Phytopathology, 52, 427–451. https://doi.org/10.1146/annurev-phyto-102313-045831
Lewis, K., Epstein, S., D’Onofrio, A., & Ling, L. L. (2010). Uncultured microorganisms as a source of secondary metabolites. The Journal of Antibiotics, 63(8), 468–476. https://doi.org/10.1038/ja.2010.87
Liers, C., Bobeth, C., Pecyna, M., Ullrich, R., & Hofrichter, M. (2010). DyP-like peroxidases of the jelly fungus Auricularia auricula-judae oxidize nonphenolic lignin model compounds and high-redox potential dyes. Applied Microbiology and Biotechnology, 85, 1869–1879. https://doi.org/10.1007/s00253-009-2173-7
Loi, M., Glazunova, O., Fedorova, T., Logrieco, A. F., & Mulè, G. (2021). Fungal laccases: The forefront of enzymes for sustainability. Journal of Fungi, 7, 1048. https://doi.org/10.3390/jof7121048
Manavalan, T., Manavalan, A., & Heese, K. (2015). Characterization of lignocellulolytic enzymes from white-rot fungi. Current Microbiology, 70, 485–498. https://doi.org/10.1007/s00284-014-0743-0
McCotter, S. W., Horianopoulos, L. C., & Kronstad, J. W. (2016). Regulation of the fungal secretome. Current Genetics, 62, 533–545. https://doi.org/10.1007/s00294-016-0578-2
Morais do Amaral, A., Antoniw, J., Rudd, J. J., & Hammond-Kosack, K. E. (2012). Defining the predicted protein secretome of the fungal wheat leaf pathogen Mycosphaerella graminicola. PLoS ONE, 7, e49904. https://doi.org/10.1371/journal.pone.0049904
Nikolouli, K., & Mossialos, D. (2012). Bioactive compounds synthesized by non-ribosomal synthetases and type-I polyketide synthases discovered through genome-mining and metagenomics. Biotechnology Letters, 34(8), 1393–1403. https://doi.org/10.1007/s10529-012-0919-2
O'Leary, J., Hiscox, J., Eastwood, D. C., Savoury, M., Langley, A., McDowell, S. W., Rogers, H. J., Boddy, L., & Müller, C. T. (2019). The whiff of decay: Linking volatile production and extracellular enzymes to outcomes of fungal interactions at different temperatures. Fungal Ecology, 39, 336–348. https://doi.org/10.1016/j.funeco.2019.03.006
Ospina-Giraldo, M. D., Griffith, J. G., Laird, E. W., & Mingora, C. (2010). The CAZyome of Phytophthora spp.: A comprehensive analysis of the gene complement coding for carbohydrate-active enzymes in species of the genus Phytophthora. BMC Genomics, 11, 525. https://doi.org/10.1186/1471-2164-11-525
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Piel, J., Hui, D., Wen, G., Butzke, D., Platzer, M., Fusetani, N., & Matsunaga, S. (2004). Antitumor polyketide biosynthesis by an uncultivated bacterial symbiont of the marine sponge Theonella swinhoei. Proceedings of the National Academy of Sciences, 101(46), 16222–16227. https://doi.org/10.1073/pnas.0405976101
Rath, C. M., Janto, B., Earl, J., Ahmed, A., Hu, F. Z., Hiller, L., Dahlgren, M., Kreft, R., Yu, F., Wolff, J. J., & Sherman, D. H. (2011). Meta-omic characterization of the marine invertebrate microbial consortium that produces the chemotherapeutic natural product ET-743. ACS Chemical Biology, 6(12), 1244–1256. https://doi.org/10.1021/cb200244t
Reen, J. F., Romano, S., Dobson, A. D. W., & O’Gara, F. (2015). The sound of silence: Activating silent biosynthetic gene clusters in marine microorganisms. Marine Drugs, 13(8), 4754–4783. https://doi.org/10.3390/md13084754
Romano, S., Schultz-Vogt, H. N., González, J. M., & Bondarev, V. (2015). Phosphate limitation induces drastic physiological changes, virulence-related gene expression and secondary metabolite production in Pseudovibrio sp. strain FO-BEG1. Applied and Environmental Microbiology, 81(10), 3518–3528. https://doi.org/10.1128/AEM.04167-14
Rutledge, P. J., & Challis, G. L. (2015). Discovery of microbial natural products by activation of silent biosynthetic gene clusters. Nature Reviews Microbiology, 13(8), 509–523. https://doi.org/10.1038/nrmicro3496
Sánchez, C. (2009). Lignocellulosic residues: Biodegradation and bioconversion by fungi. Biotechnology Advances, 27, 185–194. https://doi.org/10.1016/j.biotechadv.2008.11.001
Singhvi, M. S., & Gokhale, D. V. (2019). Lignocellulosic biomass: Hurdles and challenges in its valorization. Applied Microbiology and Biotechnology, 103, 9305–9320. https://doi.org/10.1007/s00253-019-10212-7
Slot, J. C., & Rokas, A. (2011). Horizontal transfer of a large and highly toxic secondary metabolic gene cluster between fungi. Current Biology, 21(2), 134–139. https://doi.org/10.1016/j.cub.2010.12.020
Wang, H., & Fewer, D. P. (2015). Genomic insights into the distribution, genetic diversity and evolution of polyketide synthases and nonribosomal peptide synthetases. Current Opinion in Genetics & Development, 35, 79–85. https://doi.org/10.1016/j.gde.2015.10.004
Wang, H., Fewer, D. P., Holm, L., Rouhiainen, L., & Sivonen, K. (2014). Atlas of nonribosomal peptide and polyketide biosynthetic pathways reveals common occurrence of nonmodular enzymes. Proceedings of the National Academy of Sciences, 111(25), 9259–9264. https://doi.org/10.1073/pnas.1401734111
Weber, T., Blin, K., Duddela, S., Krug, D., Kim, H. U., Bruccoleri, R., Lee, S. Y., Fischbach, M. A., Müller, R., & Wohlleben, W. (2015). antiSMASH 3.0: A comprehensive resource for the genome mining of biosynthetic gene clusters. Nucleic Acids Research, 43(W1), W237–W243. https://doi.org/10.1093/nar/gkv437
Woodhouse, J. N., Fan, L., Brown, M. V., Thomas, T., & Neilan, B. A. (2013). Deep sequencing of non-ribosomal peptide synthetases and polyketide synthases from the microbiomes of Australian marine sponges. The ISME Journal, 7(9), 1842–1851. https://doi.org/10.1038/ismej.2013.65
Ziemert, N., Lechner, A., Wietz, M., Millan-Aguinaga, N., Chavarria, K. L., & Jensen, P. R. (2014). Diversity and evolution of secondary metabolism in the marine actinomycete genus Salinispora. Proceedings of the National Academy of Sciences, 111(3), 1130–1139. https://doi.org/10.1073/pnas.1324161111
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