Literature DB >> 26604315

Association mapping reveals the role of purifying selection in the maintenance of genomic variation in gene expression.

Emily B Josephs1, Young Wha Lee2, John R Stinchcombe2, Stephen I Wright2.   

Abstract

The evolutionary forces that maintain genetic variation in quantitative traits within populations remain poorly understood. One hypothesis suggests that variation is under purifying selection, resulting in an excess of low-frequency variants and a negative correlation between minor allele frequency and selection coefficients. Here, we test these predictions using the genetic loci associated with total expression variation (eQTLs) and allele-specific expression variation (aseQTLs) mapped within a single population of the plant Capsella grandiflora. In addition to finding eQTLs and aseQTLs for a large fraction of genes, we show that alleles at these loci are rarer than expected and exhibit a negative correlation between phenotypic effect size and frequency. Overall, our results show that the distribution of frequencies and effect sizes of the loci responsible for local expression variation within a single outcrossing population are consistent with the effects of purifying selection.

Entities:  

Keywords:  association mapping; gene expression; population genomics

Mesh:

Year:  2015        PMID: 26604315      PMCID: PMC4687593          DOI: 10.1073/pnas.1503027112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  36 in total

Review 1.  Theoretical models of selection and mutation on quantitative traits.

Authors:  Toby Johnson; Nick Barton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-07-29       Impact factor: 6.237

2.  Genetic architecture of regulatory variation in Arabidopsis thaliana.

Authors:  Xu Zhang; Andrew J Cal; Justin O Borevitz
Journal:  Genome Res       Date:  2011-04-05       Impact factor: 9.043

3.  Global eQTL mapping reveals the complex genetic architecture of transcript-level variation in Arabidopsis.

Authors:  Marilyn A L West; Kyunga Kim; Daniel J Kliebenstein; Hans van Leeuwen; Richard W Michelmore; R W Doerge; Dina A St Clair
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

4.  Gene expression quantitative trait locus analysis of 16 000 barley genes reveals a complex pattern of genome-wide transcriptional regulation.

Authors:  Elena Potokina; Arnis Druka; Zewei Luo; Roger Wise; Robbie Waugh; Mike Kearsey
Journal:  Plant J       Date:  2007-10-17       Impact factor: 6.417

5.  An atlas of over 90,000 conserved noncoding sequences provides insight into crucifer regulatory regions.

Authors:  Annabelle Haudry; Adrian E Platts; Emilio Vello; Douglas R Hoen; Mickael Leclercq; Robert J Williamson; Ewa Forczek; Zoé Joly-Lopez; Joshua G Steffen; Khaled M Hazzouri; Ken Dewar; John R Stinchcombe; Daniel J Schoen; Xiaowu Wang; Jeremy Schmutz; Christopher D Town; Patrick P Edger; J Chris Pires; Karen S Schumaker; David E Jarvis; Terezie Mandáková; Martin A Lysak; Erik van den Bergh; M Eric Schranz; Paul M Harrison; Alan M Moses; Thomas E Bureau; Stephen I Wright; Mathieu Blanchette
Journal:  Nat Genet       Date:  2013-06-30       Impact factor: 38.330

6.  Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals.

Authors:  Alexis Battle; Sara Mostafavi; Xiaowei Zhu; James B Potash; Myrna M Weissman; Courtney McCormick; Christian D Haudenschild; Kenneth B Beckman; Jianxin Shi; Rui Mei; Alexander E Urban; Stephen B Montgomery; Douglas F Levinson; Daphne Koller
Journal:  Genome Res       Date:  2013-10-03       Impact factor: 9.043

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

8.  Effect of read-mapping biases on detecting allele-specific expression from RNA-sequencing data.

Authors:  Jacob F Degner; John C Marioni; Athma A Pai; Joseph K Pickrell; Everlyne Nkadori; Yoav Gilad; Jonathan K Pritchard
Journal:  Bioinformatics       Date:  2009-10-06       Impact factor: 6.937

9.  Genomic variation and its impact on gene expression in Drosophila melanogaster.

Authors:  Andreas Massouras; Sebastian M Waszak; Monica Albarca-Aguilera; Korneel Hens; Wiebke Holcombe; Julien F Ayroles; Emmanouil T Dermitzakis; Eric A Stone; Jeffrey D Jensen; Trudy F C Mackay; Bart Deplancke
Journal:  PLoS Genet       Date:  2012-11-15       Impact factor: 5.917

10.  Transcriptome and genome sequencing uncovers functional variation in humans.

Authors:  Tuuli Lappalainen; Michael Sammeth; Marc R Friedländer; Peter A C 't Hoen; Jean Monlong; Manuel A Rivas; Mar Gonzàlez-Porta; Natalja Kurbatova; Thasso Griebel; Pedro G Ferreira; Matthias Barann; Thomas Wieland; Liliana Greger; Maarten van Iterson; Jonas Almlöf; Paolo Ribeca; Irina Pulyakhina; Daniela Esser; Thomas Giger; Andrew Tikhonov; Marc Sultan; Gabrielle Bertier; Daniel G MacArthur; Monkol Lek; Esther Lizano; Henk P J Buermans; Ismael Padioleau; Thomas Schwarzmayr; Olof Karlberg; Halit Ongen; Helena Kilpinen; Sergi Beltran; Marta Gut; Katja Kahlem; Vyacheslav Amstislavskiy; Oliver Stegle; Matti Pirinen; Stephen B Montgomery; Peter Donnelly; Mark I McCarthy; Paul Flicek; Tim M Strom; Hans Lehrach; Stefan Schreiber; Ralf Sudbrak; Angel Carracedo; Stylianos E Antonarakis; Robert Häsler; Ann-Christine Syvänen; Gert-Jan van Ommen; Alvis Brazma; Thomas Meitinger; Philip Rosenstiel; Roderic Guigó; Ivo G Gut; Xavier Estivill; Emmanouil T Dermitzakis
Journal:  Nature       Date:  2013-09-15       Impact factor: 49.962

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  36 in total

1.  High-resolution mapping of cis-regulatory variation in budding yeast.

Authors:  Ryosuke Kita; Sandeep Venkataram; Yiqi Zhou; Hunter B Fraser
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-28       Impact factor: 11.205

2.  Genomic analysis reveals major determinants of cis-regulatory variation in Capsella grandiflora.

Authors:  Kim A Steige; Benjamin Laenen; Johan Reimegård; Douglas G Scofield; Tanja Slotte
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

3.  Quantifying the regulatory effect size of cis-acting genetic variation using allelic fold change.

Authors:  Pejman Mohammadi; Stephane E Castel; Andrew A Brown; Tuuli Lappalainen
Journal:  Genome Res       Date:  2017-10-11       Impact factor: 9.043

4.  Dysregulation of expression correlates with rare-allele burden and fitness loss in maize.

Authors:  Karl A G Kremling; Shu-Yun Chen; Mei-Hsiu Su; Nicholas K Lepak; M Cinta Romay; Kelly L Swarts; Fei Lu; Anne Lorant; Peter J Bradbury; Edward S Buckler
Journal:  Nature       Date:  2018-03-14       Impact factor: 49.962

Review 5.  The Evolution of Gene Expression in cis and trans.

Authors:  Sarah A Signor; Sergey V Nuzhdin
Journal:  Trends Genet       Date:  2018-04-18       Impact factor: 11.639

6.  Systematic identification of cis-regulatory variants that cause gene expression differences in a yeast cross.

Authors:  Kaushik Renganaath; Rocky Cheung; Laura Day; Sriram Kosuri; Leonid Kruglyak; Frank W Albert
Journal:  Elife       Date:  2020-11-12       Impact factor: 8.140

7.  Standing genetic variation in a tissue-specific enhancer underlies selfing-syndrome evolution in Capsella.

Authors:  Adrien Sicard; Christian Kappel; Young Wha Lee; Natalia Joanna Woźniak; Cindy Marona; John R Stinchcombe; Stephen I Wright; Michael Lenhard
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-14       Impact factor: 11.205

8.  Whose trait is it anyways? Coevolution of joint phenotypes and genetic architecture in mutualisms.

Authors:  Anna M O'Brien; Chandra N Jack; Maren L Friesen; Megan E Frederickson
Journal:  Proc Biol Sci       Date:  2021-01-13       Impact factor: 5.349

9.  WEVar: a novel statistical learning framework for predicting noncoding regulatory variants.

Authors:  Ye Wang; Yuchao Jiang; Bing Yao; Kun Huang; Yunlong Liu; Yue Wang; Xiao Qin; Andrew J Saykin; Li Chen
Journal:  Brief Bioinform       Date:  2021-11-05       Impact factor: 13.994

10.  An inferred fitness consequence map of the rice genome.

Authors:  Zoé Joly-Lopez; Adrian E Platts; Brad Gulko; Jae Young Choi; Simon C Groen; Xuehua Zhong; Adam Siepel; Michael D Purugganan
Journal:  Nat Plants       Date:  2020-02-10       Impact factor: 15.793

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