Evidence map›Paper›PMID 33416498›Full record

ArticleeLife2021

Whole genome phylogenies reflect the distributions of recombination rates for many bacterial species.

Thomas Sakoparnig, Chris Field, Erik van Nimwegen

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Article
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  6. Persistent trade-offs balance competition and colonization across centuries.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Exploring clonality ofMicrobiology spectrum · 2026
    Article
  8. Linkage of nucleotide and functional diversity varies across gut bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Dynamics of dN/dS within recombining bacterial populations.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

6 more citing papers are in PubMed but not listed here.

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

3 authors.

Thomas SakoparnigBiozentrum, University of Basel, and Swiss Institute of Bioinformatics, Basel, Switzerland.
Chris FieldBiozentrum, University of Basel, and Swiss Institute of Bioinformatics, Basel, Switzerland.ORCID 0000-0002-6434-3745
Erik van NimwegenBiozentrum, University of Basel, and Swiss Institute of Bioinformatics, Basel, Switzerland.ORCID 0000-0001-6338-1312

Funding

KITP Interdisciplinary Biology InitiativeR25GM067110 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SHRAIMAN, BORIS I · 2003 to 2018
$1.8M
NIGMS NIH HHS R25 GM067110
6 · The paper itself

Abstract

Although recombination is accepted to be common in bacteria, for many species robust phylogenies with well-resolved branches can be reconstructed from whole genome alignments of strains, and these are generally interpreted to reflect clonal relationships. Using new methods based on the statistics of single-nucleotide polymorphism (SNP) splits, we show that this interpretation is incorrect. For many species, each locus has recombined many times along its line of descent, and instead of many loci supporting a common phylogeny, the phylogeny changes many thousands of times along the genome alignment. Analysis of the patterns of allele sharing among strains shows that bacterial populations cannot be approximated as either clonal or freely recombining but are structured such that recombination rates between lineages vary over several orders of magnitude, with a unique pattern of rates for each lineage. Thus, rather than reflecting clonal ancestry, whole genome phylogenies reflect distributions of recombination rates.

Indexed as

Genome, BacterialPhylogenyRecombination, GeneticBacillus subtilisBacteriaEscherichia coliEvolution, MolecularHelicobacter pyloriMycobacterium tuberculosisPolymorphism, Single NucleotideSalmonella entericaSequence Analysis, DNAStaphylococcus aureusWhole Genome SequencingB. subtilisE. colievolutionary biologyhumanphylogenypopulation structureprokaryotic genome evolutionrecombinationsingle nucleotide polymorphisms

Identifiers

PMID33416498
PMCPMC7884076

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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.