Literature DB >> 15616138

Gene "volatility" is most unlikely to reveal adaptation.

Paul M Sharp.   

Abstract

It has recently been claimed that adaptive molecular evolution can be detected within single genome sequences by use of gene "volatility" scores. However, the approach used was entirely based on the assumption that synonymous codon usage is normally shaped by selection for low volatility; this is most unlikely to be true. Furthermore, even if that assumption could be justified, the method would clearly lack power, detecting only genes where a very large number of nonsynonymous substitutions had occurred. Volatility scores are susceptible to other influences. The unusually high volatilities of the Mycobacterium tuberculosis and Plasmodium falciparum genes that were identified as putatively having undergone adaptive changes were largely the result of internally repetitive structures, in which unusual codon usage was caused by the mechanisms that generated this repetition rather than by adaptive changes.

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Year:  2004        PMID: 15616138     DOI: 10.1093/molbev/msi073

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  8 in total

1.  Insight into the Sialome of the Bed Bug, Cimex lectularius.

Authors:  Ivo M B Francischetti; Eric Calvo; John F Andersen; Van M Pham; Amanda J Favreau; Kent D Barbian; Alvaro Romero; Jesus G Valenzuela; José M C Ribeiro
Journal:  J Proteome Res       Date:  2010-08-06       Impact factor: 4.466

2.  Codon usage and selection on proteins.

Authors:  Joshua B Plotkin; Jonathan Dushoff; Michael M Desai; Hunter B Fraser
Journal:  J Mol Evol       Date:  2006-10-14       Impact factor: 2.395

3.  Codon volatility of hemagglutinin genes of H5N1 avian influenza viruses from different clades.

Authors:  Prasert Auewarakul; Sunisa Chatsurachai; Alita Kongchanagul; Pumaree Kanrai; Sikarin Upala; Prapat Suriyaphol; Pilaipan Puthavathana
Journal:  Virus Genes       Date:  2009-03-24       Impact factor: 2.332

4.  The salivary gland transcriptome of the eastern tree hole mosquito, Ochlerotatus triseriatus.

Authors:  Eric Calvo; Irma Sanchez-Vargas; Michalis Kotsyfakis; Amanda J Favreau; Kent D Barbian; Van M Pham; Kenneth E Olson; José M C Ribeiro
Journal:  J Med Entomol       Date:  2010-05       Impact factor: 2.278

5.  In Arabidopsis thaliana codon volatility scores reflect GC3 composition rather than selective pressure.

Authors:  Mary J O'Connell; Aisling M Doyle; Thomas E Juenger; Mark T A Donoghue; Channa Keshavaiah; Reetu Tuteja; Charles Spillane
Journal:  BMC Res Notes       Date:  2012-07-17

6.  Evolution of genetic potential.

Authors:  Lauren Ancel Meyers; Fredric D Ancel; Michael Lachmann
Journal:  PLoS Comput Biol       Date:  2005-08-26       Impact factor: 4.475

7.  An insight into the sialotranscriptome of the West Nile mosquito vector, Culex tarsalis.

Authors:  Eric Calvo; Irma Sanchez-Vargas; Amanda J Favreau; Kent D Barbian; Van M Pham; Kenneth E Olson; José Mc Ribeiro
Journal:  BMC Genomics       Date:  2010-01-20       Impact factor: 3.969

8.  Synonymous genes explore different evolutionary landscapes.

Authors:  Guillaume Cambray; Didier Mazel
Journal:  PLoS Genet       Date:  2008-11-14       Impact factor: 5.917

  8 in total

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