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Structure-informed microbial population genetics elucidate selective pressures that shape protein evolution.
Kiefl, Evan; Esen, Ozcan C; Miller, Samuel E; Kroll, Kourtney L; Willis, Amy D; Rappé, Michael S; Pan, Tao; Eren, A Murat.
Affiliation
  • Kiefl E; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Esen OC; Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA.
  • Miller SE; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Kroll KL; Department of Medicine, University of Chicago, Chicago, IL 60637, USA.
  • Willis AD; Josephine Bay Paul Center for Comparative Molecular Biology and Evolution, Marine Biological Laboratory, Woods Hole, MA 02543, USA.
  • Rappé MS; Graduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA.
  • Pan T; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA.
  • Eren AM; Hawai'i Institute of Marine Biology, University of Hawai'i at Manoa, Kane'ohe, HI 96822, USA.
Sci Adv ; 9(8): eabq4632, 2023 02 22.
Article in En | MEDLINE | ID: mdl-36812328
ABSTRACT
Comprehensive sampling of natural genetic diversity with metagenomics enables highly resolved insights into the interplay between ecology and evolution. However, resolving adaptive, neutral, or purifying processes of evolution from intrapopulation genomic variation remains a challenge, partly due to the sole reliance on gene sequences to interpret variants. Here, we describe an approach to analyze genetic variation in the context of predicted protein structures and apply it to a marine microbial population within the SAR11 subclade 1a.3.V, which dominates low-latitude surface oceans. Our analyses reveal a tight association between genetic variation and protein structure. In a central gene in nitrogen metabolism, we observe decreased occurrence of nonsynonymous variants from ligand-binding sites as a function of nitrate concentrations, revealing genetic targets of distinct evolutionary pressures maintained by nutrient availability. Our work yields insights into the governing principles of evolution and enables structure-aware investigations of microbial population genetics.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecology / Genetics, Population Language: En Journal: Sci Adv Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecology / Genetics, Population Language: En Journal: Sci Adv Year: 2023 Document type: Article Affiliation country: United States