ArticlemSystems2023
Metagenomic data reveals type I polyketide synthase distributions across biomes.
Article in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Multi-Omic Assessment of Microbial Communities and Their Polyketide Biosynthetic Potential Across Abyssal Sediments.Environmental microbiology · 2026Article
- Article
- HiFiBGC: an ensemble approach for improved biosynthetic gene cluster detection in PacBio HiFi-read metagenomes.BMC genomics · 2024Article
- Metagenomic clustering links specific metabolic functions to globally relevant ecosystems.mSystems · 2024Article
- Small molecule in situ resin capture provides a compound first approach to natural product discovery.Nature communications · 2024Article
- Biogeographic patterns of biosynthetic potential and specialized metabolites in marine sediments.The ISME journal · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
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Abstract
Microbial polyketide synthase (PKS) genes encode the biosynthesis of many biomedically or otherwise commercially important natural products. Despite extensive discovery efforts, metagenomic analyses suggest that only a small fraction of nature's polyketide biosynthetic potential has been realized. Much of this potential originates from type I PKSs (T1PKSs), which can be further delineated based on their domain organization and the structural features of the compounds they encode. Notably, phylogenetic relationships among ketosynthase (KS) domains provide an effective method to classify the larger and more complex T1PKS genes in which they occur. Increased access to large metagenomic data sets from diverse habitats provides opportunities to assess T1PKS biosynthetic diversity and distributions through their smaller and more tractable KS domain sequences. Here, we used the web tool NaPDoS2 to detect and classify over 35,000 type I KS domains from 137 metagenomic data sets reported from eight diverse, globally distributed biomes. We found biome-specific separation with soils enriched in KSs from modular
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