Literature DB >> 21237791

The excess of transitions among nucleotide substitutions: new methods of estimating transition bias underscore its significance.

J Wakeley1.   

Abstract

Estimates of transition bias provide insight into the process of nucleotide substitution, and are required in some commonly used phylogenetic methods. Transitions are favored over transversions among spontaneous mutations, and the direction and strength of selection on proteins and RNA appears to depend on mutation type. As the complexity of the nucleotide-substitution process has become apparent, problems with classical methods of estimating transition bias have been recognized. These problems arise because there Is a fundamental difference between ratios of numbers of differences among sequences and ratios of rates, and because classical methods are not easily generalized. Several new methods are now available.

Year:  1996        PMID: 21237791     DOI: 10.1016/0169-5347(96)10009-4

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  64 in total

1.  Clinical Sequencing Uncovers Origins and Evolution of Lassa Virus.

Authors:  Kristian G Andersen; B Jesse Shapiro; Christian B Matranga; Rachel Sealfon; Aaron E Lin; Lina M Moses; Onikepe A Folarin; Augustine Goba; Ikponmwonsa Odia; Philomena E Ehiane; Mambu Momoh; Eleina M England; Sarah Winnicki; Luis M Branco; Stephen K Gire; Eric Phelan; Ridhi Tariyal; Ryan Tewhey; Omowunmi Omoniwa; Mohammed Fullah; Richard Fonnie; Mbalu Fonnie; Lansana Kanneh; Simbirie Jalloh; Michael Gbakie; Sidiki Saffa; Kandeh Karbo; Adrianne D Gladden; James Qu; Matthew Stremlau; Mahan Nekoui; Hilary K Finucane; Shervin Tabrizi; Joseph J Vitti; Bruce Birren; Michael Fitzgerald; Caryn McCowan; Andrea Ireland; Aaron M Berlin; James Bochicchio; Barbara Tazon-Vega; Niall J Lennon; Elizabeth M Ryan; Zach Bjornson; Danny A Milner; Amanda K Lukens; Nisha Broodie; Megan Rowland; Megan Heinrich; Marjan Akdag; John S Schieffelin; Danielle Levy; Henry Akpan; Daniel G Bausch; Kathleen Rubins; Joseph B McCormick; Eric S Lander; Stephan Günther; Lisa Hensley; Sylvanus Okogbenin; Stephen F Schaffner; Peter O Okokhere; S Humarr Khan; Donald S Grant; George O Akpede; Danny A Asogun; Andreas Gnirke; Joshua Z Levin; Christian T Happi; Robert F Garry; Pardis C Sabeti
Journal:  Cell       Date:  2015-08-13       Impact factor: 41.582

Review 2.  The coevolution of genes and genetic codes: Crick's frozen accident revisited.

Authors:  Guy Sella; David H Ardell
Journal:  J Mol Evol       Date:  2006-07-12       Impact factor: 2.395

3.  Estimation of DNA sequence context-dependent mutation rates using primate genomic sequences.

Authors:  Wei Zhang; Gerard G Bouffard; Susan S Wallace; Jeffrey P Bond
Journal:  J Mol Evol       Date:  2007-08-04       Impact factor: 2.395

4.  Compensatory evolution in RNA secondary structures increases substitution rate variation among sites.

Authors:  Jennifer L Knies; Kristen K Dang; Todd J Vision; Noah G Hoffman; Ronald Swanstrom; Christina L Burch
Journal:  Mol Biol Evol       Date:  2008-06-04       Impact factor: 16.240

5.  Large-scale detection of in vivo transcription errors.

Authors:  Jean-François Gout; W Kelley Thomas; Zachary Smith; Kazufusa Okamoto; Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-28       Impact factor: 11.205

6.  Estimating the transition/transversion ratio from independent pairwise comparisons with an assumed phylogeny.

Authors:  A Purvis; L Bromham
Journal:  J Mol Evol       Date:  1997-01       Impact factor: 2.395

7.  Mutational and fitness landscapes of an RNA virus revealed through population sequencing.

Authors:  Ashley Acevedo; Leonid Brodsky; Raul Andino
Journal:  Nature       Date:  2013-11-27       Impact factor: 49.962

8.  Mistranslation-induced protein misfolding as a dominant constraint on coding-sequence evolution.

Authors:  D Allan Drummond; Claus O Wilke
Journal:  Cell       Date:  2008-07-25       Impact factor: 41.582

9.  Novel multi-nucleotide polymorphisms in the human genome characterized by whole genome and exome sequencing.

Authors:  Jeffrey A Rosenfeld; Anil K Malhotra; Todd Lencz
Journal:  Nucleic Acids Res       Date:  2010-05-20       Impact factor: 16.971

10.  Branch length estimation and divergence dating: estimates of error in Bayesian and maximum likelihood frameworks.

Authors:  Rachel S Schwartz; Rachel L Mueller
Journal:  BMC Evol Biol       Date:  2010-01-11       Impact factor: 3.260

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.