Evidence map›Paper›PMID 32327732›Full record

ArticleThe ISME journal2020

Soil bacterial populations are shaped by recombination and gene-specific selection across a grassland meadow.

Alexander Crits-Christoph, Matthew R Olm, Spencer Diamond, Keith Bouma-Gregson, Jillian F Banfield

Abstract read
In one paragraph

Article in The ISME journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

46 citing papers in PubMed.

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  7. High-resolution metagenome assembly for modern long reads with myloasm.bioRxiv : the preprint server for biology · 2025
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  18. A hotspot of diversity: novelInternational journal of systematic and evolutionary microbiology · 2024
    Article
  19. Article
  20. The evolutionary genomics of adaptation to stress in wild rhizobium bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

5 authors.

Alexander Crits-ChristophDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Matthew R OlmDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Spencer DiamondDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Keith Bouma-GregsonDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA.
Jillian F BanfieldDepartment of Earth and Planetary Science, University of California, Berkeley, CA, USA. jbanfield@berkeley.edu.ORCID http://orcid.org/0000-0001-8203-8771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial diversity is often studied from the perspective of community composition, but less is known about genetic heterogeneity within species. The relative impacts of clonal interference, gene-specific selection, and recombination in many abundant but rarely cultivated soil microbes remain unknown. Here we track genome-wide population genetic variation for 19 highly abundant bacterial species sampled from across a grassland meadow. Genomic inferences about population structure are made using the millions of sequencing reads that are assembled de novo into consensus genomes from metagenomes, as each read pair describes a short genomic sequence from a cell in each population. Genomic nucleotide identity of assembled genomes was significantly associated with local geography for over half of the populations studied, and for a majority of populations within-sample nucleotide diversity could often be as high as meadow-wide nucleotide diversity. Genes involved in metabolite biosynthesis and extracellular transport were characterized by elevated nucleotide diversity in multiple species. Microbial populations displayed varying degrees of homologous recombination and recombinant variants were often detected at 7-36% of loci genome-wide. Within multiple populations we identified genes with unusually high spatial differentiation of alleles, fewer recombinant events, elevated ratios of nonsynonymous to synonymous variants, and lower nucleotide diversity, suggesting recent selective sweeps for gene variants. Taken together, these results indicate that recombination and gene-specific selection commonly shape genetic variation in several understudied soil bacterial lineages.

Indexed as

GrasslandSoilBacteriaGenetic VariationGenomicsSelection, GeneticSoil MicrobiologySoil

Identifiers

PMID32327732
PMCPMC7305173

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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.