Literature DB >> 15662372

Evolutionary genomics: detecting selection needs comparative data.

Rasmus Nielsen1, Melissa J Hubisz.   

Abstract

Positive selection at the molecular level is usually indicated by an increase in the ratio of non-synonymous to synonymous substitutions (dN/dS) in comparative data. However, Plotkin et al. describe a new method for detecting positive selection based on a single nucleotide sequence. We show here that this method is particularly sensitive to assumptions regarding the underlying mutational processes and does not provide a reliable way to identify positive selection.

Mesh：

Substances：

Year:  2005        PMID： 15662372     DOI： 10.1038/nature03222

Source DB:  PubMed          Journal:  Nature        ISSN： 0028-0836            Impact factor:   49.962


  7 in total

1.  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

Review 2.  It's more than stamp collecting: how genome sequencing can unify biological research.

Authors:  Stephen Richards
Journal:  Trends Genet       Date:  2015-05-20       Impact factor: 11.639

3.  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

4.  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

5.  A systematic map of genetic variation in Plasmodium falciparum.

Authors:  Claire Kidgell; Sarah K Volkman; Johanna Daily; Justin O Borevitz; David Plouffe; Yingyao Zhou; Jeffrey R Johnson; Karine Le Roch; Ousmane Sarr; Omar Ndir; Soulyemane Mboup; Serge Batalov; Dyann F Wirth; Elizabeth A Winzeler
Journal:  PLoS Pathog       Date:  2006-06-23       Impact factor: 6.823

6.  Darwin and Fisher meet at biotech: on the potential of computational molecular evolution in industry.

Authors:  Maria Anisimova
Journal:  BMC Evol Biol       Date:  2015-05-01       Impact factor: 3.260

Review 7.  Gene Duplication and Protein Evolution in Tick-Host Interactions.

Authors:  Ben J Mans; Jonathan Featherston; Minique H de Castro; Ronel Pienaar
Journal:  Front Cell Infect Microbiol       Date:  2017-09-25       Impact factor: 5.293
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.