Evidence map›Paper›PMID 19502381›Full record

ArticleGenome research2009

The consequences of genetic drift for bacterial genome complexity.

Chih-Horng Kuo, Nancy A Moran, Howard Ochman

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.

0numbers the graph read from it
0cells of the map it votes in
169citing 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

169 citing papers in PubMed, 299 citations in OpenAlex.

  1. Article
  2. Article
  3. Why did some viruses evolve to be giants while others did not?Proceedings of the National Academy of Sciences of the United States of America · 2026
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  4. The heterogeneous selection landscape of genome evolution in prokaryotes.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  5. Imported, not invented, genes prevail amongProceedings of the National Academy of Sciences of the United States of America · 2026
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109 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 at 1 institution in 1 country.

Chih-Horng KuoDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA.
Nancy A Moran
Howard Ochman
University of Arizona · US

Funding

Genome Erosion in Infectious MicroorganismsR01GM056120 · NIGMS · UNIVERSITY OF ROCHESTER · PI OCHMAN, HOWARD · 1997 to 2007
$1.3M
Elucidating the origins and functions of unknown genesR01GM074738 · NIGMS · YALE UNIVERSITY · PI OCHMAN, HOWARD · 2005 to 2009
$1.0M
NIGMS NIH HHS GM56120NIGMS NIH HHS GM74738NIGMS NIH HHS R01 GM056120NIGMS NIH HHS R01 GM074738
6 · The paper itself

Abstract

Genetic drift, which is particularly effective within small populations, can shape the size and complexity of genomes by affecting the fixation of deleterious mutations. In Bacteria, assessing the contribution of genetic drift to genome evolution is problematic because the usual methods, based on intraspecific polymorphisms, can be thwarted by difficulties in delineating species' boundaries. The increased availability of sequenced bacterial genomes allows application of an alternative estimator of drift, the genome-wide ratio of replacement to silent substitutions in protein-coding sequences. This ratio, which reflects the action of purifying selection across the entire genome, shows a strong inverse relationship with genome size, indicating that drift promotes genome reduction in bacteria.

Indexed as

Evolution, MolecularGenetic DriftBacteriaComputational BiologyDatabases, GeneticGenes, BacterialGenome, BacterialModels, GeneticMutationSpecies Specificity

Identifiers

PMID19502381
PMCPMC2720180
OpenAlexW2115453787

What OpenQuestion holds

Textmetadata
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.