Journal article
Identification and Characterization of Regions of the Rice Genome Associated With Broad-Spectrum, Quantitative Disease Resistance
Genetics (Austin), Vol.169(4), pp.2277-2293
04/2005
Handle:
https://hdl.handle.net/2376/106517
PMCID: PMC1449593
PMID: 15716503
Abstract
Much research has been devoted to understanding the biology of plant-pathogen interactions. The extensive genetic analysis of disease resistance in rice, coupled with the sequenced genome and genomic resources, provides the opportunity to seek convergent evidence implicating specific chromosomal segments and genes in the control of resistance. Published data on quantitative and qualitative disease resistance in rice were synthesized to evaluate the distributions of and associations among resistance loci. Quantitative trait loci (QTL) for resistance to multiple diseases and qualitative resistance loci (R genes) were clustered in the rice genome. R genes and their analogs of the nucleotide binding site–leucine-rich repeat class and genes identified on the basis of differential representation in disease-related EST libraries were significantly associated with QTL. Chromosomal segments associated with broad-spectrum quantitative disease resistance (BS-QDR) were identified. These segments contained numerous positional candidate genes identified on the basis of a range of criteria, and groups of genes belonging to two defense-associated biochemical pathways were found to underlie one BS-QDR region. Genetic dissection of disease QTL confidence intervals is needed to reduce the number of positional candidate genes for further functional analysis. This study provides a framework for future investigations of disease resistance in rice and related crop species.
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Details
- Title
- Identification and Characterization of Regions of the Rice Genome Associated With Broad-Spectrum, Quantitative Disease Resistance
- Creators
- Randall J Wisser - Department of Plant Breeding and Genetics, Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853Qi Sun - Computational Biology Service Unit, Cornell Theory Center, Cornell University, Ithaca, New York 14853Scot H Hulbert - Department of Plant Pathology, Kansas State University, Manhattan, Kansas 66506Stephen Kresovich - Department of Plant Breeding and Genetics, Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853Rebecca J Nelson - Department of Plant Breeding and Genetics, Institute for Genomic Diversity, Cornell University, Ithaca, New York 14853
- Publication Details
- Genetics (Austin), Vol.169(4), pp.2277-2293
- Academic Unit
- Plant Pathology, Department of
- Publisher
- Genetics Society of America
- Identifiers
- 99900546522101842
- Language
- English
- Resource Type
- Journal article