Evidence map›Paper›PMID 16365310›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Placing confidence limits on the molecular age of the human-chimpanzee divergence.

Sudhir Kumar, Alan Filipski, Vinod Swarna, Alan Walker, S Blair Hedges

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

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0cells of the map it votes in
57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

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  8. Quest for the Best Evolutionary Model.Journal of molecular evolution · 2021
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  16. Comparison of predicted and actual consequences of missense mutations.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  17. Whole-genome sequence of the Tibetan frog Nanorana parkeri and the comparative evolution of tetrapod genomes.Proceedings of the National Academy of Sciences of the United States of America · 2015
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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

5 authors.

Sudhir KumarCenter for Evolutionary Functional Genomics, Biodesign Institute, and School of Life Sciences, Arizona State University, Tempe, AZ 85287-5301, USA. s.kumar@asu.edu
Alan Filipski
Vinod Swarna
Alan Walker
S Blair Hedges

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular clocks have been used to date the divergence of humans and chimpanzees for nearly four decades. Nonetheless, this date and its confidence interval remain to be firmly established. In an effort to generate a genomic view of the human-chimpanzee divergence, we have analyzed 167 nuclear protein-coding genes and built a reliable confidence interval around the calculated time by applying a multifactor bootstrap-resampling approach. Bayesian and maximum likelihood analyses of neutral DNA substitutions show that the human-chimpanzee divergence is close to 20% of the ape-Old World monkey (OWM) divergence. Therefore, the generally accepted range of 23.8-35 millions of years ago for the ape-OWM divergence yields a range of 4.98-7.02 millions of years ago for human-chimpanzee divergence. Thus, the older time estimates for the human-chimpanzee divergence, from molecular and paleontological studies, are unlikely to be correct. For a given the ape-OWM divergence time, the 95% confidence interval of the human-chimpanzee divergence ranges from -12% to 19% of the estimated time. Computer simulations suggest that the 95% confidence intervals obtained by using a multifactor bootstrap-resampling approach contain the true value with >95% probability, whether deviations from the molecular clock are random or correlated among lineages. Analyses revealed that the use of amino acid sequence differences is not optimal for dating human-chimpanzee divergence and that the inclusion of additional genes is unlikely to narrow the confidence interval significantly. We conclude that tests of hypotheses about the timing of human-chimpanzee divergence demand more precise fossil-based calibrations.

Indexed as

Biological EvolutionAnimalsBayes TheoremCalibrationCodonComputer SimulationEnvironmentFossilsGenetic VariationGenomeGenomicsHumansLikelihood FunctionsPan troglodytesPhylogenyTime FactorsCodon

Identifiers

PMID16365310
PMCPMC1316887

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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.