Genetic Architecture of Transcript-Level Variation in Differentiating Xylem of a Eucalyptus Hybrid

Author:

Kirst Matias12,Basten Christopher J3,Myburg Alexander A4,Zeng Zhao-Bang3,Sederoff Ronald R1

Affiliation:

1. Forest Biotechnology Group, North Carolina State University, Raleigh, North Carolina 27695

2. Functional Genomics and Genetics Graduate Program, North Carolina State University, Raleigh, North Carolina 27695

3. Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695

4. Department of Genetics, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria 0002, South Africa

Abstract

Abstract 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 of Eucalyptus, microarrays were used to examine variation in mRNA abundance in the differentiating xylem of a E. grandis pseudobackcross population [E. grandis × F1 hybrid (E. grandis × 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 (F1 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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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