Evidence map›Paper›PMID 26316424›Full record

ArticleSystematic biology2015

Inferring Speciation Processes from Patterns of Natural Variation in Microbial Genomes.

David J Krause, Rachel J Whitaker

Abstract read
In one paragraph

Article in Systematic biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A scalable analytical approach from bacterial genomes to epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  5. Article
  6. Article
  7. Intraspecific antagonism through viral toxin encoded by chronicPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Biological species in the viral world.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  16. Article
  17. Mechanisms of gene flow in archaea.Nature reviews. Microbiology · 2017
    Review
  18. Article
  19. Article
  20. 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

2 authors.

David J KrauseDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Rachel J WhitakerDepartment of Microbiology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA rwhitaker@life.illinois.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial species concepts have long been the focus of contentious debate, fueled by technological limitations to the genetic resolution of species, by the daunting task of investigating phenotypic variation among individual microscopic organisms, and by a lack of understanding of gene flow in reproductively asexual organisms that are prone to promiscuous horizontal gene transfer. Population genomics, the emerging approach of analyzing the complete genomes of a multitude of closely related organisms, is poised to overcome these limitations by providing a window into patterns of genome variation revealing the evolutionary processes through which species diverge. This new approach is more than just an extension of previous multilocus sequencing technologies, in that it provides a comprehensive view of interacting evolutionary processes. Here we argue that the application of population genomic tools in a rigorous population genetic framework will help to identify the processes of microbial speciation and ultimately lead to a general species concept based on the unique biology and ecology of microorganisms.

Indexed as

Genetic SpeciationGenetic VariationBacteriaGenome, BacterialGenomicsModels, GeneticBarriers to gene flowdifferentiationrecombinationselection

Identifiers

PMID26316424
PMCPMC4604833

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.