- THIS ARTICLE
- Full Text
- Full Text (PDF)
- Data Supplement
-
All Versions of this Article:
genetics.107.073759v1
177/2/1011 most recent - Alert me when this article is cited
- Alert me if a correction is posted
- SERVICES
- Related articles in Genetics
- Similar articles in this journal
- Similar articles in PubMed
- Alert me to new issues of the journal
- Download to citation manager
- Reprints & Permissions
- CITING ARTICLES
- Citing Articles via HighWire
- Citing Articles via Google Scholar
- GOOGLE SCHOLAR
- Articles by Roberge, C.
- Articles by Bernatchez, L.
- Search for Related Content
- PUBMED
- PubMed Citation
- Articles by Roberge, C.
- Articles by Bernatchez, L.
Originally published as Genetics Published Articles Ahead of Print on August 24, 2007.
Genetics, Vol. 177, 1011-1022, October 2007, Copyright © 2007
doi:10.1534/genetics.107.073759
Genomewide Identification of Genes Under Directional Selection: Gene Transcription QST Scan in Diverging Atlantic Salmon Subpopulations
C. Roberge1, H. Guderley and L. Bernatchez
Département de Biologie, Université Laval, Québec, Québec G1K 7P4, Canada
1 Corresponding author: Laboratoire Louis Bernatchez, Pavillon Charles-Eugène Marchand, Université Laval, Québec, QC G1K 7P4, Canada.
E-mail: christian.roberge{at}giroq.ulaval.ca
Evolutionary genomics has benefited from methods that allow identifying evolutionarily important genomic regions on a genomewide scale, including genome scans and QTL mapping. Recently, genomewide scanning by means of microarrays has permitted assessing gene transcription differences among species or populations. However, the identification of differentially transcribed genes does not in itself suffice to measure the role of selection in driving evolutionary changes in gene transcription. Here, we propose and apply a "transcriptome scan" approach to investigating the role of selection in shaping differential profiles of gene transcription among populations. We compared the genomewide transcription levels between two Atlantic salmon subpopulations that have been diverging for only six generations. Following assessment of normality and unimodality on a gene-per-gene basis, the additive genetic basis of gene transcription was estimated using the animal model. Gene transcription h2 estimates were significant for 1044 (16%) of all detected cDNA clones. In an approach analogous to that of genome scans, we used the distribution of the QST values estimated from intra- and intersubpopulation additive genetic components of the transcription profiles to identify 16 outlier genes (average QST estimate = 0.11) whose transcription levels are likely to have evolved under the influence of directional selection within six generations only. Overall, this study contributes both empirically and methodologically to the quantitative genetic exploration of gene transcription data.
Related articles in Genetics:
ISSUE HIGHLIGHTS
Genetics 2007 177: NP.
This article has been cited by other articles:
 |
|
 |
|
  N. Derome, B. Bougas, S. M. Rogers, A. R. Whiteley, A. Labbe, J. Laroche, and L. Bernatchez Pervasive Sex-Linked Effects on Transcription Regulation As Revealed by Expression Quantitative Trait Loci Mapping in Lake Whitefish Species Pairs (Coregonus sp., Salmonidae) Genetics, August 1, 2008; 179(4): 1903 - 1917. [Abstract] [Full Text] [PDF]
|
|