Microarray analysis of replicate populations selected against a wing-shape correlation in Drosophila melanogaster
We selected bidirectionally to change the phenotypic correlation between two wing dimensions in Drosophila melanogaster and measured gene expression differences in late third instar wing disks, using microarrays. We tested an array of 12 selected lines, including 10 from a Massachusetts population (...
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Published in | Genetics (Austin) Vol. 178; no. 2; pp. 1093 - 1108 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Genetics Soc America
01.02.2008
Genetics Society of America |
Subjects | |
Online Access | Get full text |
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Summary: | We selected bidirectionally to change the phenotypic correlation between two wing dimensions in Drosophila melanogaster and measured gene expression differences in late third instar wing disks, using microarrays. We tested an array of 12 selected lines, including 10 from a Massachusetts population (5 divergently selected pairs) and 2 from a California population (1 divergently selected pair). In the Massachusetts replicates, 29 loci showed consistent, significant expression differences in all 5 line-pair comparisons. However, the significant loci in the California lines were almost completely different from these. The disparity between responding genes in different gene pools confirms recent evidence that surprisingly large numbers of loci can affect wing shape. Our results also show that with well-replicated selection lines, of large effective size, the numbers of candidate genes in microarray-based searches can be reduced to realistic levels. |
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Bibliography: | http://www.genetics.org/ ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Communicating editor: L. Harshman Corresponding author: Department of Biological Sciences, University of Southern Maine, 96 Falmouth St., Portland, ME 04104-9300. E-mail: keweber@usm.maine.edu |
ISSN: | 0016-6731 1943-2631 1943-2631 |
DOI: | 10.1534/genetics.107.078014 |