Submitted:
26 May 2026
Posted:
27 May 2026
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Abstract

Keywords:
1. Introduction
2. Methodology
3. Marine Streptomyces Diversity and Ecological Distribution
4. Biosynthetic Gene Clusters in Marine Streptomyces
5. Genome Mining Approaches
6. Biosynthetic Enzymology and Tailoring Reactions
7. Polyketide Diversity in Marine Streptomyces
8. Non-Ribosomal Peptides and Lipopeptides
9. Ribosomally Synthesized and Post-Translationally Modified Peptides (RiPPs)
10. Terpenoids and Isoprenoid Metabolites
11. Metabolomics and Dereplication Strategies
12. Synthetic Biology and Drug Development
13. Challenges and Future Perspectives
14. Conclusion
Author Contributions
Funding
Ethics Statement/Declarations
Clinical Trial
Consent for Publication
AI Usage Statement
Final Approval Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| antiSMASH | antibiotics & Secondary Metabolite Analysis Shell |
| BAGEL | BActeriocin GEnome mining tooL |
| BGC | Biosynthetic Gene Cluster |
| CRISPR | Clustered Regularly Interspaced Short Palindromic Repeats |
| GNPS | Global Natural Products Social Molecular Networking |
| HPLC | High-Performance Liquid Chromatography |
| LC-MS/MS | Liquid Chromatography–Tandem Mass Spectrometry |
| MEP | Methylerythritol Phosphate pathway |
| MS/MS | Tandem Mass Spectrometry |
| NMR | Nuclear Magnetic Resonance |
| NRP(S) | Non-Ribosomal Peptide (Synthetase) |
| NRPS | Non-Ribosomal Peptide Synthetase |
| OSMAC | One Strain Many Compounds |
| PKS | Polyketide Synthase |
| PRISM | Prediction Informatics for Secondary Metabolomes |
| RiPPs | Ribosomally synthesized and Post-translationally modified Peptides |
| UHPLC-QTOF | Ultra-High Performance Liquid Chromatography–Quadrupole Time-of-Flight |
| WGS | Whole Genome Sequencing |
References
- Fenical, W.; Jensen, P.R. Developing a new resource for drug discovery: marine actinomycete bacteria. Nat. Chem. Biol. 2006, 2(12), 666–673. [Google Scholar] [CrossRef] [PubMed]
- Carroll, A.R.; Copp, B.R.; Davis, R.A.; Keyzers, R.A.; Prinsep, M.R. Marine natural products. Nat. Prod. Rep. 2024, 41(1), 1–180. [Google Scholar] [CrossRef]
- Barka, E.A.; Vatsa, P.; Sanchez, L.; et al. Taxonomy, physiology, and natural products of Actinobacteria. Microbiol. Mol. Biol. Rev. 2016, 80(1), 1–43. [Google Scholar] [CrossRef] [PubMed]
- Bentley, S.D.; Chater, K.F.; Cerdeño-Tárraga, A.M.; et al. Complete genome sequence of the model actinomycete Streptomyces coelicolor A3(2). Nature 2002, 417(6885), 141–147. [Google Scholar] [CrossRef] [PubMed]
- Demain, A.L.; Sanchez, S. Microbial drug discovery: 80 years of progress. J. Antibiot. 2009, 62(1), 5–16. [Google Scholar] [CrossRef]
- Berdy, J. Thoughts and facts about antibiotics: where we are now and where we are heading. J. Antibiot. 2012, 65(8), 385–395. [Google Scholar] [CrossRef]
- Jensen, P.R.; Dwight, R.; Fenical, W. Distribution of actinomycetes in near-shore tropical marine sediments. Appl. Env. Microbiol. 1991, 57(4), 1102–1108. [Google Scholar] [CrossRef]
- Zhang, X.; Li, S.J.; Li, J.J.; Liang, Z.Z.; Zhao, C.Q.; Cai, W.J. Marine microbial natural products: structure, biosynthesis, and ecology. Microbiol. Mol. Biol. Rev. 2021, 85(4), e00026-21. [Google Scholar] [CrossRef]
- Bull, A.T.; Stach, J.E. Marine actinobacteria: new opportunities for natural product search and discovery. Trends Microbiol. 2007, 15(11), 491–499. [Google Scholar] [CrossRef] [PubMed]
- Rateb, M.E.; Ebel, R. Secondary metabolites of fungi from marine habitats. Nat. Prod. Rep. 2011, 28(2), 290–344. [Google Scholar] [CrossRef]
- Hughes, C.C.; Fenical, W. Antibacterials from the sea. Chem. Eur. J. 2010, 16(42), 12512–12525. [Google Scholar] [CrossRef]
- Kautsar, S.A.; van der Hooft, J.J.J.; de Ridder, D.; Medema, M.H. BiG-SLiCE and the next generation of biosynthetic gene cluster mining. Curr. Opin. Microbiol. 2023, 69, 102199. [Google Scholar] [CrossRef]
- Blin, K.; Shaw, S.; Steinke, K.; et al. antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Res. 2019, 47(W1), W81–W87. [Google Scholar] [CrossRef]
- Rutledge, P.J.; Challis, G.L. Discovery of microbial natural products by activation of silent biosynthetic gene clusters. Nat. Rev. Microbiol. 2015, 13(8), 509–523. [Google Scholar] [CrossRef]
- Zhao, H.; Medema, M.H. Synthetic biology approaches for natural product discovery. Nat. Rev. Microbiol. 2024. [Google Scholar] [CrossRef]
- Wang, M.; Carver, J.J.; Phelan, V.V.; et al. Sharing and community curation of mass spectrometry data with GNPS. Nat. Biotechnol. 2016, 34(8), 828–837. [Google Scholar] [CrossRef] [PubMed]
- Kautsar, S.A.; Blin, K.; Shaw, S.; et al. BiG-SLiCE 2 and scaling biosynthetic diversity analysis. Nat. Chem. Biol. 2023, 19(12), 1520–1529. [Google Scholar] [CrossRef]
- Skropeta, D. Deep-sea natural products. Nat. Prod. Rep. 2008, 25(6), 1131–1166. [Google Scholar] [CrossRef]
- Jensen, P.R. Natural products and the gene cluster revolution. Trends Microbiol. 2016, 24(12), 968–977. [Google Scholar] [CrossRef]
- Sugimoto, Y.; Camacho, F.R.; Wang, S.; et al. A metagenomic strategy for harnessing uncultured microbes as sources of bioactive compounds. Nat. Rev. Microbiol. 2024. [Google Scholar] [CrossRef]
- Cane, D.E.; Walsh, C.T.; Khosla, C. Harnessing the biosynthetic code: combinations, permutations, and mutations. Science 1998, 282(5386), 63–68. [Google Scholar] [CrossRef]
- Hertweck, C. The biosynthetic logic of polyketide diversity. Angew. Chem. Int. Ed. Engl. 2009, 48(26), 4688–4716. [Google Scholar] [CrossRef]
- Zhang, Y.; Luo, M.; Wang, X.; Chen, C.; Deng, Z.; Zhang, Q. Marine actinomycetes-derived angucyclines and angucyclinones with biosynthesis and activity. Eur. J. Med. Chem. 2024, 271, 117161. [Google Scholar] [CrossRef]
- Liu, Z.; Sun, W.; Hu, Z.; Wang, W.; Zhang, H. Marine Streptomyces-derived novel alkaloids. Mar. Drugs 2024, 22(1), 51. [Google Scholar] [CrossRef] [PubMed]
- Kwon, H.C.; Kauffman, C.A.; Jensen, P.R.; Fenical, W. Marinomycins A–D. J. Am. Chem. Soc. 2006, 128(5), 1622–1632. [Google Scholar] [CrossRef] [PubMed]
- Hughes, C.C.; Prieto-Davo, A.; Jensen, P.R.; Fenical, W. Marinopyrroles. Org. Lett. 2008, 10(4), 629–631. [Google Scholar] [CrossRef] [PubMed]
- Olano, C.; Méndez, C.; Salas, J.A. Antitumor compounds from marine actinomycetes. Mar. Drugs 2009, 7(2), 210–248. [Google Scholar] [CrossRef]
- Gribble, G.W. Naturally occurring organohalogen compounds. Acc. Chem. Res. 1998, 31(3), 141–152. [Google Scholar] [CrossRef]
- Winter, J.M.; Moore, B.S. Vanadium-dependent haloperoxidases. J. Biol. Chem. 2009, 284(28), 18577–18581. [Google Scholar] [CrossRef]
- Wagner, C.; El Omari, M.; König, G.M. Biohalogenation. J. Nat. Prod. 2009, 72(3), 540–553. [Google Scholar] [CrossRef]
- Neumann, C.S.; Fujimori, D.G.; Walsh, C.T. Halogenation strategies. Chem. Biol. 2008, 15(2), 99–109. [Google Scholar] [CrossRef]
- Shigeno, S.; Kadowaki, M.; Nagai, K.; Takahashi, Y.; Iwai, Y.; Omura, S. New polycyclic tetramate macrolactams. J. Antibiot. 2024, 77, 265–271. [Google Scholar] [CrossRef]
- Shiomi, K.; Iinuma, H.; Hamada, M.; Naganawa, H.; Manabe, M.; Matsuki, C.; et al. Napyradiomycins. J. Antibiot. 1986, 39(4), 487–493. [Google Scholar] [CrossRef]
- Thibodeaux, C.J.; Melançon, C.E., 3rd; Liu, H.W. Natural-product sugar biosynthesis. Nature 2007, 446(7139), 1008–1016. [Google Scholar] [CrossRef]
- Weymouth-Wilson, A.C. Carbohydrates in natural products. Nat. Prod. Rep. 1997, 14(2), 99–110. [Google Scholar] [CrossRef] [PubMed]
- Salas, J.A.; Méndez, C. Glycosylation engineering. Trends Microbiol. 2007, 15(5), 219–232. [Google Scholar] [CrossRef]
- Bernhardt, R. Cytochrome P450 biocatalysts. J. Biotechnol. 2006, 124(1), 128–145. [Google Scholar] [CrossRef] [PubMed]
- Podust, L.M.; Sherman, D.H. P450 diversity. Nat. Prod. Rep. 2012, 29(10), 1251–1266. [Google Scholar] [CrossRef]
- Kim, H.J.; Ruszczycky, M.W.; Choi, S.H.; Liu, Y.N.; Liu, H.W. Enzyme-catalysed [4+2] cycloaddition. Nature 2011, 473(7346), 109–112. [Google Scholar] [CrossRef]
- Cane, D.E.; Walsh, C.T.; Khosla, C. Biosynthetic code. Science 1998, 282(5386), 63–68. [Google Scholar] [CrossRef] [PubMed]
- Hertweck, C. Polyketide biosynthetic logic. Angew. Chem. Int. Ed. Engl. 2009, 48(26), 4688–4716. [Google Scholar] [CrossRef]
- Zhang, Y.; Li, X.; Wang, J.; Chen, Q.; Zhao, P. Marine Streptomyces sp. PGC 39. Food Biosci. 2024, 57, 103600. [Google Scholar] [CrossRef]
| Biosynthetic class | Representative metabolites | Major biological activities | Key biosynthetic features | References |
|---|---|---|---|---|
| Type I polyketides | Marinomycins, salinosporamides | Anticancer, antibacterial | Modular PKS assembly lines | [23,24,25,26] |
| Type II polyketides | Angucyclines, anthracyclines | Antibacterial, kinase inhibition | Aromatic PKS pathways | [23,24] |
| Non-ribosomal peptides | Cyclomarins, ohmyungsamycins | Antitubercular, anticancer | NRPS thiotemplate synthesis | [24,27] |
| PKS-NRPS hybrids | Lobophorins, abyssomicins | Cytotoxic, antibacterial | Hybrid modular pathways | [24,27] |
| RiPPs | Thiopeptides, lantipeptides | Gram-positive antibacterial | Post-translational modification | [16,17] |
| Terpenoids | Marine isoprenoids | Antioxidant, antimicrobial | MEP/mevalonate pathways | [18,19,20] |
| Platform | Primary application | Major strengths | Current limitations | References |
| antiSMASH | Automated BGC annotation | Comprehensive detection | Limited novel enzyme prediction | [13] |
| PRISM | Metabolite structure prediction | Predictive biosynthetic modeling | Dependent on known pathways | [12] |
| BAGEL | RiPP identification | Specialized RiPP analysis | Limited non-RiPP analysis | [16] |
| DeepBGC | Machine learning-assisted prediction | Improved sensitivity | Training dataset dependency | [17] |
| BiG-SCAPE | Comparative BGC clustering | Evolutionary analysis | Functional validation required | [17] |
| Polyketide class | Representative metabolites | Major biological activities | Key structural features | References |
|---|---|---|---|---|
| Macrodiolides | Marinomycins | Anticancer, antibacterial | Highly unsaturated macrocycles | [42] |
| Spirotetronates | Abyssomicins, lobophorins | Antibacterial, cytotoxic | Tetronic acid-containing macrocycles | [41,42] |
| Aromatic polyketides | Anthracyclines, angucyclines | Anticancer, kinase inhibition | Aromatic ring systems | [40,41] |
| Glycosylated polyketides | Lobophorins | Antibacterial, cytotoxic | Deoxysugar-containing scaffolds | [34,35,36] |
| Metabolite class | Representative compounds | Major biological activities | Key structural features | References |
| Cyclic peptides | Cyclomarins | Antitubercular, anti-inflammatory | Cyclic heptapeptides | [36,42] |
| Cyclic depsipeptides | Ohmyungsamycins | Antibacterial, anticancer | Ester-linked peptide macrocycles | [36] |
| Lipopeptides | Marine lipopeptides | Membrane-disrupting antibacterial activity | Lipid tail-containing amphiphiles | [40] |
| PKS-NRPS hybrids | Lobophorins | Cytotoxic, antibacterial | Hybrid peptide-polyketide scaffolds | [41] |
| RiPP class | Representative features | Major biological activities | Key biosynthetic modifications | References |
| Thiopeptides | Sulfur-rich macrocycles | Potent antibacterial activity | Cyclodehydration and thiazole formation | [16,17] |
| Lantipeptides | Lanthionine-containing peptides | Antimicrobial activity | Dehydration and thioether bridge formation | [16] |
| Lasso peptides | Threaded peptide topology | Proteolytic stability, antibacterial activity | Macrolactam ring threading | [17] |
| Cyanobactin-like peptides | Cyclic modified peptides | Cytotoxic and antimicrobial activity | Cyclization and heterocyclization | [16,17] |
| Terpenoid class | Major biological activities | Key biosynthetic features | Structural characteristics | References |
| Monoterpenoids | Antimicrobial activity | Isoprene condensation | Small volatile structures | [18,20] |
| Sesquiterpenoids | Cytotoxic, anti-inflammatory | Farnesyl pyrophosphate-derived | Rearranged carbon skeletons | [20] |
| Diterpenoids | Antioxidant, antimicrobial | Geranylgeranyl pyrophosphate-derived | Polycyclic frameworks | [18] |
| Halogenated terpenoids | Antibacterial, antiviral | Halogenase-associated pathways | Brominated/chlorinated scaffolds | [28,29,30,31] |
| Technology | Primary application | Major strengths | Current limitations | References |
| LC-MS/MS | Metabolite profiling | High sensitivity | Ion suppression effects | [16] |
| UHPLC-QTOF | High-resolution metabolomics | Accurate mass detection | Complex data interpretation | [16,17] |
| GNPS molecular networking | Metabolite clustering | Rapid dereplication | Database dependency | [16] |
| NMR metabolomics | Structural elucidation | Non-destructive analysis | Lower sensitivity | [17] |
| Imaging mass spectrometry | Spatial metabolite visualization | Ecological interaction analysis | Expensive instrumentation | [16,17] |
| Synthetic biology strategy | Major application | Key advantages | Current limitations | References |
| CRISPR-Cas activation | Silent BGC activation | Precise genome regulation | Off-target effects | [15] |
| Heterologous expression | Metabolite production | Improved biosynthetic accessibility | Host compatibility issues | [14,15] |
| Pathway refactoring | Biosynthetic optimization | Regulatory independence | Complex engineering requirements | [15] |
| Chassis engineering | Industrial metabolite production | Enhanced scalability | Metabolic burden | [14] |
| AI-assisted pathway prediction | Metabolite prioritization | Accelerated discovery | Annotation overprediction | [17] |
| Challenge | Current impact | Potential future solutions | References |
| Silent biosynthetic gene clusters | Limited metabolite accessibility | CRISPR activation, synthetic biology | [14,15] |
| Low cultivation efficiency | Reduced strain recovery | Advanced cultivation systems | [18,19,20] |
| Rediscovery of known metabolites | Reduced novelty | Metabolomics-guided dereplication | [16] |
| Low metabolite yield | Limited scalability | Chassis engineering and pathway optimization | [14,15] |
| Annotation overinterpretation | Misleading biosynthetic prediction | Functional validation and enzymology | [12,17] |
| Industrial scalability limitations | Delayed pharmaceutical translation | Biofoundries and systems biology | [12,17] |
| Poor pharmacokinetic properties | Limited clinical applicability | Medicinal chemistry optimization | [1,11] |
| Insufficient ecological interpretation | Incomplete functional understanding | Spatial metabolomics and synthetic ecology | [18,19,20] |
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