Literature DB >> 21976921

The Genetic Equidistance Result of Molecular Evolution is Independent of Mutation Rates.

Shi Huang1.   

Abstract

The well-established genetic equidistance result shows that sister species are approximately equidistant to a simpler outgroup as measured by DNA or protein dissimilarity. The equidistance result is the most direct evidence, and remains the only evidence, for the constant mutation rate interpretation of this result, known as the molecular clock. However, data independent of the equidistance result have steadily accumulated in recent years that often violate a constant mutation rate. Many have automatically inferred non-equidistance whenever a non-constant mutation rate was observed, based on the unproven assumption that the equidistance result is an outcome of constant mutation rate. Here it is shown that the equidistance result remains valid even when different species can be independently shown to have different mutation rates. A random sampling of 50 proteins shows that nearly all proteins display the equidistance result despite the fact that many proteins have non-constant mutation rates. Therefore, the genetic equidistance result does not necessarily mean a constant mutation rate. Observations of different mutation rates do not invalidate the genetic equidistance result. New ideas are needed to explain the genetic equidistance result that must grant different mutation rates to different species and must be independently testable.

Entities:  

Year:  2008        PMID: 21976921      PMCID: PMC3184610          DOI: 10.4172/jcsb.1000009

Source DB:  PubMed          Journal:  J Comput Sci Syst Biol        ISSN: 0974-7230


  29 in total

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Authors:  Shi Huang
Journal:  Riv Biol       Date:  2008 Jan-Apr
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  3 in total

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Authors:  MengPing Long; TaoBo Hu
Journal:  F1000Res       Date:  2016-02-19

2.  Enrichment of minor allele of SNPs and genetic prediction of type 2 diabetes risk in British population.

Authors:  Xiaoyun Lei; Shi Huang
Journal:  PLoS One       Date:  2017-11-03       Impact factor: 3.240

3.  Relation between two evolutionary clocks reveal new insights in bacterial evolution.

Authors:  Gur Sevillya
Journal:  Access Microbiol       Date:  2022-02-16
  3 in total

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