Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Jun 13;23(6):725-736.
doi: 10.1016/j.chom.2018.05.013.

Accessing Bioactive Natural Products from the Human Microbiome

Affiliations
Review

Accessing Bioactive Natural Products from the Human Microbiome

Aleksandr Milshteyn et al. Cell Host Microbe. .

Abstract

Natural products have long played a pivotal role in the development of therapeutics for a variety of diseases. Traditionally, soil and marine environments have provided a rich reservoir from which diverse chemical scaffolds could be discovered. Recently, the human microbiome has been recognized as a promising niche from which secondary metabolites with therapeutic potential have begun to be isolated. In this Review, we address how the expansive history of identifying bacterial natural products in other environments is informing the approaches being brought to bear on the study of the human microbiota. We also touch on how these tools can lead to insights about microbe-microbe and host-microbe interactions and help generate biological hypotheses that may lead to developments of new therapeutic modalities.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.. Functional Metagenomics Workflow
(A) Schematic outline of the functional (meta)genomics mining approach used in the discovery of commendamide, a GPCR agonist. (B) Functional (meta)genomics provides direct access to the biosynthetic gene(s) responsible for metabolite production, which can then be used to mine available sequence data for similar biosynthetic pathways. This can lead to the discovery of chemically similar metabolites with related function, as was the case with the commendamide-inspired discovery of a second N-acyl GPCR agonist, N-acyl serinol.
Figure 2.
Figure 2.. Sequence-Based (Meta)genomics Workflows
(A) Sequence-based (meta)genomics leverages the power of predictive bioinformatics tools to identify biosynthetic gene clusters in the available sequence data and guide the targeted discovery of bacterial metabolites. This approach was used to discover the novel antibiotic lactocillin and various dipeptide aldehydes with implications in mammalian protease inhibition. (B) In the synthetic-bioinformatic natural product (syn-BNP) workflow, specific chemical structures of natural products are predicted from analyses of biosynthetic gene clusters, and these molecules are chemically synthesized and subsequently tested for biological activity, such as antibiosis in the case of the humimycins.
Figure 3.
Figure 3.. Simple Aromatic Amino Acids with Demonstrated Effects in Microbe-Host Relationship
A growing number of simple derivatives of aromatic amino acids (inside the box) have been found to not only be produced by commensal bacteria but elicit functional responses during in vitro or in vivo biological experiments. These studies suggest that bacteria take advantage of simple enzymatic processes using abundant substrates to interact with their environment. Color of derivatives indicates matching amino acid source.
Figure 4.
Figure 4.. Chemistry-Forward Discovery Workflow
Traditional, chemistry-forward approaches do not rely on biosynthetic gene sequence information but instead use analytical techniques (e.g., pyroglutamate containing compounds) or functional assays (e.g., lugdunin) to identify metabolites of interest from bacterial strains after laboratory cultivation.

References

    1. Aagaard K, Petrosino J, Keitel W, Watson M, Katancik J, Garcia N, Patel S, Cutting M, Madden T, Hamilton H, et al. (2013). The Human Microbiome Project strategy for comprehensive sampling of the human microbiome and why it matters. FASEB J. 27, 1012–1022. - PMC - PubMed
    1. Arias CA, and Murray BE (2009). Antibiotic-resistant bugs in the 21st century–a clinical super-challenge. N. Engl. J. Med 360, 439–443. - PubMed
    1. Balskus EP (2015). Colibactin: understanding an elusive gut bacterial genotoxin. Nat. Prod. Rep 32, 1534–1540. - PubMed
    1. Bansal T, Alaniz RC, Wood TK, and Jayaraman A (2010). The bacterial signal indole increases epithelial-cell tight-junction resistance and attenuates indicators of inflammation. Proc. Natl. Acad. Sci. USA 107, 228–233. - PMC - PubMed
    1. Birchenough GM, Johansson ME, Gustafsson JK, Bergström JH, and Hansson GC (2015). New developments in goblet cell mucus secretion and function. Mucosal Immunol. 8, 712–719. - PMC - PubMed

Publication types