Evidence map›Paper›PMID 19788732›Full record

ArticleBiology direct2009

Inferring clocks when lacking rocks: the variable rates of molecular evolution in bacteria.

Chih-Horng Kuo, Howard Ochman

Abstract read
In one paragraph

Article in Biology direct, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Extending evolutionary forecasts across bacterial species.Proceedings. Biological sciences · 2024
    Article
  6. Article
  7. Is the persistence ofApplied and environmental microbiology · 2024
    Article
  8. Modeling the mosaic structure of bacterial genomes to infer their evolutionary history.Proceedings of the National Academy of Sciences of the United States of America · 2024
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15 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.

Chih-Horng KuoDepartment of Ecology & Evolutionary Biology, University of Arizona, Tucson, Arizona 85721, USA. chkuo@email.arizona.edu
Howard Ochman

Funding

Genome Erosion in Infectious MicroorganismsR01GM056120 · NIGMS · UNIVERSITY OF ROCHESTER · PI OCHMAN, HOWARD · 1997 to 2007
$1.3M
NIGMS NIH HHS GM56120NIGMS NIH HHS R01 GM056120
6 · The paper itself

Abstract

backgroundBecause bacteria do not have a robust fossil record, attempts to infer the timing of events in their evolutionary history requires comparisons of molecular sequences. This use of molecular clocks is based on the assumptions that substitution rates for homologous genes or sites are fairly constant through time and across taxa. Violation of these conditions can lead to erroneous inferences and result in estimates that are off by orders of magnitude. In this study, we examine the consistency of substitution rates among a set of conserved genes in diverse bacterial lineages, and address the questions regarding the validity of molecular dating.

resultsBy examining the evolution of 16S rRNA gene in obligate endosymbionts, which can be calibrated by the fossil record of their hosts, we found that the rates are consistent within a clade but varied widely across different bacterial lineages. Genome-wide estimates of nonsynonymous and synonymous substitutions suggest that these two measures are highly variable in their rates across bacterial taxa. Genetic drift plays a fundamental role in determining the accumulation of substitutions in 16S rRNA genes and at nonsynonymous sites. Moreover, divergence estimates based on a set of universally conserved protein-coding genes also exhibit low correspondence to those based on 16S rRNA genes.

conclusionOur results document a wide range of substitution rates across genes and bacterial taxa. This high level of variation cautions against the assumption of a universal molecular clock for inferring divergence times in bacteria. However, by applying relative-rate tests to homologous genes, it is possible to derive reliable local clocks that can be used to calibrate bacterial evolution. REVIEWERS: This article was reviewed by Adam Eyre-Walker, Simonetta Gribaldo and Tal Pupko (nominated by Dan Graur).

Indexed as

Evolution, MolecularFossilsBacteriaBase SequenceCalibrationConserved SequenceGenetic VariationOpen Reading FramesRNA, Ribosomal, 16SSymbiosisTime FactorsRNA, Ribosomal, 16S

Identifiers

PMID19788732
PMCPMC2760517

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LicenceCC BY
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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.