Dissection of QTL effects for root traits using a chromosome arm-specific mapping population in bread wheat |
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Authors: | Sundrish Sharma Shizhong Xu Bahman Ehdaie Aaron Hoops Timothy J Close Adam J Lukaszewski J Giles Waines |
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Institution: | (1) Department of Botany and Plant Sciences, University of California, Riverside, CA 92521-0124, USA;(2) Present address: Syngenta Seeds, Inc., Naples, FL 34114, USA; |
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Abstract: | A high-resolution chromosome arm-specific mapping population was used in an attempt to locate/detect gene(s)/QTL for different
root traits on the short arm of rye chromosome 1 (1RS) in bread wheat. This population consisted of induced homoeologous recombinants
of 1RS with 1BS, each originating from a different crossover event and distinct from all other recombinants in the proportions
of rye and wheat chromatin present. It provides a simple and powerful approach to detect even small QTL effects using fewer
progeny. A promising empirical Bayes method was applied to estimate additive and epistatic effects for all possible marker
pairs simultaneously in a single model. This method has an advantage for QTL analysis in minimizing the error variance and
detecting interaction effects between loci with no main effect. A total of 15 QTL effects, 6 additive and 9 epistatic, were
detected for different traits of root length and root weight in 1RS wheat. Epistatic interactions were further partitioned
into inter-genomic (wheat and rye alleles) and intra-genomic (rye–rye or wheat–wheat alleles) interactions affecting various
root traits. Four common regions were identified involving all the QTL for root traits. Two regions carried QTL for almost
all the root traits and were responsible for all the epistatic interactions. Evidence for inter-genomic interactions is provided.
Comparison of mean values supported the QTL detection. |
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