Literature DB >> 28283406

Transcriptomic insights into genetic diversity of protein-coding genes in X. laevis.

Virginia Savova1, Esther J Pearl2, Elvan Boke1, Anwesha Nag3, Ivan Adzhubei4, Marko E Horb2, Leonid Peshkin1.   

Abstract

We characterize the genetic diversity of Xenopus laevis strains using RNA-seq data and allele-specific analysis. This data provides a catalogue of coding variation, which can be used for improving the genomic sequence, as well as for better sequence alignment, probe design, and proteomic analysis. In addition, we paint a broad picture of the genetic landscape of the species by functionally annotating different classes of mutations with a well-established prediction tool (PolyPhen-2). Further, we specifically compare the variation in the progeny of four crosses: inbred genomic (J)-strain, outbred albino (B)-strain, and two hybrid crosses of J and B strains. We identify a subset of mutations specific to the B strain, which allows us to investigate the selection pressures affecting duplicated genes in this allotetraploid. From these crosses we find the ratio of non-synonymous to synonymous mutations is lower in duplicated genes, which suggests that they are under greater purifying selection. Surprisingly, we also find that function-altering ("damaging") mutations constitute a greater fraction of the non-synonymous variants in this group, which suggests a role for subfunctionalization in coding variation affecting duplicated genes.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28283406      PMCID: PMC5405699          DOI: 10.1016/j.ydbio.2017.02.019

Source DB:  PubMed          Journal:  Dev Biol        ISSN: 0012-1606            Impact factor:   3.582


  28 in total

1.  Development and characterization of a model system to study amphibian immune responses to iridoviruses.

Authors:  Jennifer Gantress; Gregory D Maniero; Nicholas Cohen; Jacques Robert
Journal:  Virology       Date:  2003-07-05       Impact factor: 3.616

2.  Inheritance patterns of transcript levels in F1 hybrid mice.

Authors:  Xiangqin Cui; Jason Affourtit; Keith R Shockley; Yong Woo; Gary A Churchill
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

3.  PAML 4: phylogenetic analysis by maximum likelihood.

Authors:  Ziheng Yang
Journal:  Mol Biol Evol       Date:  2007-05-04       Impact factor: 16.240

4.  Accelerated evolution after gene duplication: a time-dependent process affecting just one copy.

Authors:  Cinta Pegueroles; Steve Laurie; M Mar Albà
Journal:  Mol Biol Evol       Date:  2013-04-26       Impact factor: 16.240

5.  Functional analysis of Rfx6 and mutant variants associated with neonatal diabetes.

Authors:  Esther J Pearl; Zeina Jarikji; Marko E Horb
Journal:  Dev Biol       Date:  2011-01-04       Impact factor: 3.582

6.  Genome evolution in the allotetraploid frog Xenopus laevis.

Authors:  Adam M Session; Yoshinobu Uno; Taejoon Kwon; Jarrod A Chapman; Atsushi Toyoda; Shuji Takahashi; Akimasa Fukui; Akira Hikosaka; Atsushi Suzuki; Mariko Kondo; Simon J van Heeringen; Ian Quigley; Sven Heinz; Hajime Ogino; Haruki Ochi; Uffe Hellsten; Jessica B Lyons; Oleg Simakov; Nicholas Putnam; Jonathan Stites; Yoko Kuroki; Toshiaki Tanaka; Tatsuo Michiue; Minoru Watanabe; Ozren Bogdanovic; Ryan Lister; Georgios Georgiou; Sarita S Paranjpe; Ila van Kruijsbergen; Shengquiang Shu; Joseph Carlson; Tsutomu Kinoshita; Yuko Ohta; Shuuji Mawaribuchi; Jerry Jenkins; Jane Grimwood; Jeremy Schmutz; Therese Mitros; Sahar V Mozaffari; Yutaka Suzuki; Yoshikazu Haramoto; Takamasa S Yamamoto; Chiyo Takagi; Rebecca Heald; Kelly Miller; Christian Haudenschild; Jacob Kitzman; Takuya Nakayama; Yumi Izutsu; Jacques Robert; Joshua Fortriede; Kevin Burns; Vaneet Lotay; Kamran Karimi; Yuuri Yasuoka; Darwin S Dichmann; Martin F Flajnik; Douglas W Houston; Jay Shendure; Louis DuPasquier; Peter D Vize; Aaron M Zorn; Michihiko Ito; Edward M Marcotte; John B Wallingford; Yuzuru Ito; Makoto Asashima; Naoto Ueno; Yoichi Matsuda; Gert Jan C Veenstra; Asao Fujiyama; Richard M Harland; Masanori Taira; Daniel S Rokhsar
Journal:  Nature       Date:  2016-10-20       Impact factor: 49.962

7.  Statistical methods for detecting molecular adaptation.

Authors: 
Journal:  Trends Ecol Evol       Date:  2000-12-01       Impact factor: 17.712

8.  An integrated map of genetic variation from 1,092 human genomes.

Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

9.  TopHat: discovering splice junctions with RNA-Seq.

Authors:  Cole Trapnell; Lior Pachter; Steven L Salzberg
Journal:  Bioinformatics       Date:  2009-03-16       Impact factor: 6.937

10.  Duplicated genes evolve slower than singletons despite the initial rate increase.

Authors:  I King Jordan; Yuri I Wolf; Eugene V Koonin
Journal:  BMC Evol Biol       Date:  2004-07-06       Impact factor: 3.260

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  4 in total

1.  The dynamics of gene expression in vertebrate embryogenesis at single-cell resolution.

Authors:  James A Briggs; Caleb Weinreb; Daniel E Wagner; Sean Megason; Leonid Peshkin; Marc W Kirschner; Allon M Klein
Journal:  Science       Date:  2018-04-26       Impact factor: 47.728

2.  Natural size variation among embryos leads to the corresponding scaling in gene expression.

Authors:  Avi Leibovich; Tamir Edri; Steven L Klein; Sally A Moody; Abraham Fainsod
Journal:  Dev Biol       Date:  2020-04-04       Impact factor: 3.582

3.  Genomics Methods for Xenopus Embryos and Tissues.

Authors:  Michael J Gilchrist; Ken W Y Cho; Gert Jan C Veenstra
Journal:  Cold Spring Harb Protoc       Date:  2020-05-01

4.  Enhanced Loss of Retinoic Acid Network Genes in Xenopus laevis Achieves a Tighter Signal Regulation.

Authors:  Tali Abbou; Liat Bendelac-Kapon; Audeliah Sebag; Abraham Fainsod
Journal:  Cells       Date:  2022-01-19       Impact factor: 6.600

  4 in total

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