Evidence map›Paper›PMID 25897009›Full record

ArticleG3 (Bethesda, Md.)2015

Effects of Genic Base Composition on Growth Rate in G+C-rich Genomes.

Yogeshwar D Kelkar, Daniel S Phillips, Howard Ochman

Erratum issuedAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Reconsidering plasmid maintenance factors for computational plasmid design.Computational and structural biotechnology journal · 2019
    Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yogeshwar D KelkarDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520.ORCID http://orcid.org/0000-0002-4440-0191
Daniel S PhillipsDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520.
Howard OchmanDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut 06520 howard.ochman@austin.utexas.edu.

Funding

Elucidating a newly discovered selective agent operating in bacterial genomesR01GM108657 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI OCHMAN, HOWARD · 2014 to 2016
$824k
NIGMS NIH HHS GM0108657NIGMS NIH HHS R01 GM108657
6 · The paper itself

Abstract

The source and significance of the wide variation in the genomic base composition of bacteria have been a matter of continued debate. Although the variation was originally attributed to a strictly neutral process, i.e., species-specific differences in mutational patterns, recent genomic comparisons have shown that bacteria with G+C-rich genomes experience a mutational bias toward A+T. This difference between the mutational input to a genome and its overall base composition suggests the action of natural selection. Here, we examine if selection acts on G+C contents in Caulobacter crescentus and Pseudomonas aeruginosa, which both have very G+C-rich genomes, by testing whether the expression of gene variants that differ only in their base compositions at synonymous sites affects cellular growth rates. In C. crescentus, expression of the more A+T-rich gene variants decelerated growth, indicating that selection on genic base composition is, in part, responsible for the high G+C content of this genome. In contrast, no comparable effect was observed in P. aeruginosa, which has similarly high genome G+C contents. Selection for increased genic G+C-contents in C. crescentus acts independently of the species-specific codon usage pattern and represents an additional selective force operating in bacterial genomes.

Indexed as

Genome, BacterialBase CompositionCaulobacter crescentusCodonGenes, BacterialGreen Fluorescent ProteinsPseudomonas aeruginosaCodonGreen Fluorescent Proteinsbase compositionmicrobial genomesmutational patternsnatural selection

Identifiers

PMID25897009
PMCPMC4478552

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.