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Metabolomics and genomics in natural products research: complementary tools for targeting new chemical entities

期刊

NATURAL PRODUCT REPORTS
卷 38, 期 11, 页码 2041-2065

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ROYAL SOC CHEMISTRY
DOI: 10.1039/d1np00036e

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  1. National Institute of General Medical Sciences of the National Institutes of Health [5 F32 GM132679]

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Organisms in nature have evolved specialized enzymatic machinery to biosynthesize a variety of secondary metabolites, which has profound impacts on human health. Recent advancements in metabolomics and genomics have allowed for efficient exploration of new chemical spaces in natural product discovery. Integrated strategies now enable researchers to simultaneously identify expressed secondary metabolites and their biosynthetic machinery.
Covering: 2010 to 2021 Organisms in nature have evolved into proficient synthetic chemists, utilizing specialized enzymatic machinery to biosynthesize an inspiring diversity of secondary metabolites. Often serving to boost competitive advantage for their producers, these secondary metabolites have widespread human impacts as antibiotics, anti-inflammatories, and antifungal drugs. The natural products discovery field has begun a shift away from traditional activity-guided approaches and is beginning to take advantage of increasingly available metabolomics and genomics datasets to explore undiscovered chemical space. Major strides have been made and now enable -omics-informed prioritization of chemical structures for discovery, including the prospect of confidently linking metabolites to their biosynthetic pathways. Over the last decade, more integrated strategies now provide researchers with pipelines for simultaneous identification of expressed secondary metabolites and their biosynthetic machinery. However, continuous collaboration by the natural products community will be required to optimize strategies for effective evaluation of natural product biosynthetic gene clusters to accelerate discovery efforts. Here, we provide an evaluative guide to scientific literature as it relates to studying natural product biosynthesis using genomics, metabolomics, and their integrated datasets. Particular emphasis is placed on the unique insights that can be gained from large-scale integrated strategies, and we provide source organism-specific considerations to evaluate the gaps in our current knowledge.

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