Evidence map›Paper›PMID 36812328›Full record

ArticleScience advances2023

Structure-informed microbial population genetics elucidate selective pressures that shape protein evolution.

Evan Kiefl, Ozcan C Esen, Samuel E Miller, Kourtney L Kroll, Amy D Willis, Michael S Rappé, Tao Pan, A Murat Eren

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Emergence of OXA-48-producingFrontiers in cellular and infection microbiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Evan KieflDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-6473-0921
Ozcan C EsenDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.
Samuel E MillerDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0002-2836-1401
Kourtney L KrollGraduate Program in Biophysical Sciences, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-6877-6313
Amy D WillisDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-2802-4317
Michael S RappéHawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, HI 96822, USA.ORCID 0000-0002-9829-251X
Tao PanDepartment of Biochemistry and Molecular Biology, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-1096-8405
A Murat ErenDepartment of Medicine, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-9013-4827

Funding

Statistical methods to enhance reproducible microbiome discoveryR35GM133420 · NIGMS · UNIVERSITY OF WASHINGTON · PI Amy D Willis · 2019 to 2026
$2.8M
NIGMS NIH HHS R35 GM133420
6 · The paper itself

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.

Indexed as

EcologyGenetics, PopulationBase SequenceEvolution, MolecularGenetic VariationOceans and SeasOrganic ChemicalsOrganic Chemicals

Identifiers

PMID36812328
PMCPMC12488028

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.