Literature DB >> 17998255

Cis and trans regulatory effects contribute to natural variation in transcriptome of Drosophila melanogaster.

Anne Genissel1, Lauren M McIntyre, Marta L Wayne, Sergey V Nuzhdin.   

Abstract

The dissection of intraspecific variation in transcriptome is a central theme of many recent quantitative genomic analyses. Transcript level variation has been attributed to factors at the gene itself (cis) and elsewhere in the genome (trans). Previous analyses of Drosophila intraspecific transcriptome variation pointed toward a larger contribution of trans factors. However, data from other genera, and from interspecific comparisons within Drosophila, are more consistent with a major role for cis factors. We investigated the relative amount of cis and trans variation in Drosophila melanogaster, using whole-genome expression from an oligonucleotide microarray in the 2 extensively studied genotypes Ore and 2b3, and 6 recombinant inbred (RI) lines derived from these parents. We examined 2 types of models to decompose cis and trans contributions to genetic variation in transcript level: 1) an infinitesimal model assuming that the transcription variation is highly polygenic and due to many small effects and 2) contrast models assuming that a few large effects contribute to the transcriptional variation. We explicitly fitted cis-by-trans interactions and extended our analyses to consider regulation of alternatively spliced transcripts. We estimated that approximately 10% of the transcriptome was differentially regulated among the lines. We were able to identify cis and trans effects that contribute to this differential regulation for 1,340 genes. Our analyses revealed numerous cis effects (90%) but much fewer trans effects, perhaps due to reduced power of detection for trans effects. In addition, we identified 15 genes that have alternative splice variants differentially regulated in cis.

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Year:  2007        PMID: 17998255     DOI: 10.1093/molbev/msm247

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


  28 in total

1.  Key considerations for measuring allelic expression on a genomic scale using high-throughput sequencing.

Authors:  Pierre Fontanillas; Christian R Landry; Patricia J Wittkopp; Carsten Russ; Jonathan D Gruber; Chad Nusbaum; Daniel L Hartl
Journal:  Mol Ecol       Date:  2010-03       Impact factor: 6.185

2.  Allelic imbalance in Drosophila hybrid heads: exons, isoforms, and evolution.

Authors:  R M Graze; L L Novelo; V Amin; J M Fear; G Casella; S V Nuzhdin; L M McIntyre
Journal:  Mol Biol Evol       Date:  2012-01-07       Impact factor: 16.240

3.  Cis- and Trans-regulatory Effects on Gene Expression in a Natural Population of Drosophila melanogaster.

Authors:  Naoki Osada; Ryutaro Miyagi; Aya Takahashi
Journal:  Genetics       Date:  2017-06-14       Impact factor: 4.562

4.  Regulatory divergence in Drosophila melanogaster and D. simulans, a genomewide analysis of allele-specific expression.

Authors:  Rita M Graze; Lauren M McIntyre; Bradley J Main; Marta L Wayne; Sergey V Nuzhdin
Journal:  Genetics       Date:  2009-08-10       Impact factor: 4.562

5.  Gene flow and gene flux shape evolutionary patterns of variation in Drosophila subobscura.

Authors:  C Pegueroles; C F Aquadro; F Mestres; M Pascual
Journal:  Heredity (Edinb)       Date:  2013-01-16       Impact factor: 3.821

6.  Genotype-phenotype mapping in a post-GWAS world.

Authors:  Sergey V Nuzhdin; Maren L Friesen; Lauren M McIntyre
Journal:  Trends Genet       Date:  2012-07-18       Impact factor: 11.639

7.  Buffering of Genetic Regulatory Networks in Drosophila melanogaster.

Authors:  Justin M Fear; Luis G León-Novelo; Alison M Morse; Alison R Gerken; Kjong Van Lehmann; John Tower; Sergey V Nuzhdin; Lauren M McIntyre
Journal:  Genetics       Date:  2016-05-18       Impact factor: 4.562

8.  Regulatory divergence in Drosophila revealed by mRNA-seq.

Authors:  C Joel McManus; Joseph D Coolon; Michael O Duff; Jodi Eipper-Mains; Brenton R Graveley; Patricia J Wittkopp
Journal:  Genome Res       Date:  2010-03-30       Impact factor: 9.043

Review 9.  Functional Genomic Insights into Regulatory Mechanisms of High-Altitude Adaptation.

Authors:  Jay F Storz; Zachary A Cheviron
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

10.  Natural genetic variation in transcriptome reflects network structure inferred with major effect mutations: insulin/TOR and associated phenotypes in Drosophila melanogaster.

Authors:  Sergey V Nuzhdin; Jennifer A Brisson; Andrew Pickering; Marta L Wayne; Lawrence G Harshman; Lauren M McIntyre
Journal:  BMC Genomics       Date:  2009-03-24       Impact factor: 3.969

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