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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
biochemistry, genetics and molecular biology
Genetic architecture of transcript-level variation in differentiating xylem of a eucalyptus hybrid
Genetics, Volume 169, No. 4, Year 2005
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Description
Species diversity may have evolved by differential regulation of a similar set of genes. To analyze and compare the genetic architecture of transcript regulation in different genetic backgrounds Eucalyptus, microarrays were used to examine variation in mRNA abundance in the differentiating xylem of a E. grandis pseudobackcross population [E. grandis X F1 hybrid (E. grandis X E. globulus)]. Least-squares mean estimates of transcript levels were generated for 2608 genes in 91 interspecific backcross progeny. The quantitative measurements of variation in transcript abundance for specific genes were mapped as expression QTL (eQTL) in two single-tree genetic linkage maps (F 1 hybrid paternal and E. grandis maternal). EQTL were identified for 1067 genes in the two maps, of which 811 were located in the F1 hybrid paternal map, and 451 in the E. grandis maternal map. EQTL for 195 genes mapped to both parental maps, the majority of which localized to nonhomologous linkage groups, suggesting trans-regulation by different loci in the two genetic backgrounds. For 821 genes, a single eQTL that explained up to 70% of the transcript-level variation was identified. Hotspots with colocalized eQTL were identified in both maps and typically contained genes associated with specific metabolic and regulatory pathways, suggesting coordinated genetic regulation. Copyright © 2005 by the Genetics Society of America.
Authors & Co-Authors
Kirst, Matias
United States, Raleigh
Nc State University
United States, Gainesville
University of Florida
Basten, Christopher J.
United States, Raleigh
Nc State University
Myburg, Alexander Andrew
South Africa, Pretoria
University of Pretoria
Zeng, Zhaobang
United States, Raleigh
Nc State University
Sederoff, Ronald Ross
United States, Raleigh
Nc State University
Statistics
Citations: 130
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1534/genetics.104.039198
ISSN:
00166731
Research Areas
Genetics And Genomics
Maternal And Child Health
Noncommunicable Diseases
Study Design
Cross Sectional Study
Study Approach
Quantitative