Evidence map›Paper›PMID 20838599›Full record

ArticlePLoS genetics2010

Evidence that mutation is universally biased towards AT in bacteria.

Ruth Hershberg, Dmitri A Petrov

Abstract read
In one paragraph

Article in PLoS genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 291 papers.

0numbers the graph read from it
0cells of the map it votes in
291citing 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

291 citing papers in PubMed.

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231 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

2 authors.

Ruth HershbergDepartment of Biology, Stanford University, Stanford, California, United States of America. ruthersh@stanford.edu
Dmitri A Petrov

Funding

Patterns of background nucleotide substitution in the human lineageR01GM077368 · NIGMS · STANFORD UNIVERSITY · PI PETROV, DMITRI · 2006 to 2010
$989k
NIGMS NIH HHS GM077368NIGMS NIH HHS R01 GM077368
6 · The paper itself

Abstract

Mutation is the engine that drives evolution and adaptation forward in that it generates the variation on which natural selection acts. Mutation is a random process that nevertheless occurs according to certain biases. Elucidating mutational biases and the way they vary across species and within genomes is crucial to understanding evolution and adaptation. Here we demonstrate that clonal pathogens that evolve under severely relaxed selection are uniquely suitable for studying mutational biases in bacteria. We estimate mutational patterns using sequence datasets from five such clonal pathogens belonging to four diverse bacterial clades that span most of the range of genomic nucleotide content. We demonstrate that across different types of sites and in all four clades mutation is consistently biased towards AT. This is true even in clades that have high genomic GC content. In all studied cases the mutational bias towards AT is primarily due to the high rate of C/G to T/A transitions. These results suggest that bacterial mutational biases are far less variable than previously thought. They further demonstrate that variation in nucleotide content cannot stem entirely from variation in mutational biases and that natural selection and/or a natural selection-like process such as biased gene conversion strongly affect nucleotide content.

Indexed as

BacteriaBase CompositionBiasGenome, BacterialIntracellular SpaceMutationNucleotidesPhylogenySequence Analysis, DNANucleotides

Identifiers

PMID20838599
PMCPMC2936535

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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.