Evidence map›Paper›PMID 32200748›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020

How can microbial population genomics inform community ecology?

David VanInsberghe, Philip Arevalo, Diana Chien, Martin F Polz

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  4. A genomic view of Earth's biomes.Nature reviews. Genetics · 2026
    Review
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  13. Russian Biodiversity Collections: A Professional Opinion Survey.Animals : an open access journal from MDPI · 2023
    Article
  14. Article
  15. Article
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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

4 authors.

David VanInsbergheDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Philip ArevaloDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Diana ChienDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Martin F PolzDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations are fundamental units of ecology and evolution, but can we define them for bacteria and archaea in a biologically meaningful way? Here, we review why population structure is difficult to recognize in microbes and how recent advances in measuring contemporary gene flow allow us to identify clearly delineated populations among collections of closely related genomes. Such structure can arise from preferential gene flow caused by coexistence and genetic similarity, defining populations based on biological mechanisms. We show that such gene flow units are sufficiently genetically isolated for specific adaptations to spread, making them also ecological units that are differentially adapted compared to their closest relatives. We discuss the implications of these observations for measuring bacterial and archaeal diversity in the environment. We show that operational taxonomic units defined by 16S rRNA gene sequencing have woefully poor resolution for ecologically defined populations and propose monophyletic clusters of nearly identical ribosomal protein genes as an alternative measure for population mapping in community ecological studies employing metagenomics. These population-based approaches have the potential to provide much-needed clarity in interpreting the vast microbial diversity in human and environmental microbiomes. This article is part of the theme issue 'Conceptual challenges in microbial community ecology'.

Indexed as

Gene FlowMetagenomicsArchaeaBacteriaMicrobiotagene flowgenetic sweepmicrobial ecologypopulation genomicspopulationsspecies

Identifiers

PMID32200748
PMCPMC7133533

What OpenQuestion holds

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Registered trials

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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.