Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China

Publication Overview
TitleGenetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China
AuthorsCao K, Wang L, Zhu G, Fang W, Chen C, Luo J
TypeJournal Article
Journal NameTree genetics & genomes
Volume8
Issue5
Year2012
Page(s)975-990
CitationCao K, Wang L, Zhu G, Fang W, Chen C, Luo J. Genetic diversity, linkage disequilibrium, and association mapping analyses of peach (Prunus persica) landraces in China. Tree genetics & genomes. 2012; 8(5):975-990.

Abstract

The genetic diversity, population structure, and linkage disequilibrium (LD) of peaches are greatly important in genome-wide association mapping. In the current study, 104 peach landrace accessions from six Chinese geographical regions were evaluated for fruit and phenological period. The accessions were genotyped with 53 genome-wide simple sequence repeat (SSR) markers. All SSR markers were highly polymorphic across the accessions, and a total of 340 alleles were detected, including 59 private alleles. Of the six regions studied, the northern part of China as well as the middle and lower reaches of the Changjiang River were found to be the most highly diverse genetically. Based on population structure analysis, the peaches were divided into five groups, which well agreed with the geographical distribution. Of the SSR pairs in these accessions, 18.07% (P < 0.05) were in LD. The mean r 2 value for all intrachromosomal loci pairs was 0.0149, and LD decayed at 6.01 cM. The general linear model was used to calculate the genome-wide marker-trait associations of 10 complex traits. The traits include flesh color around the stone, red pigment in the flesh, flesh texture, flesh adhesion, flesh firmness, fruit weight, chilling requirement, flowering time, ripening time, and fruit development period. These traits were estimated by analyzing the 104 landraces. Many of the associated markers were located in regions where quantitative trait loci (QTLs) were previously identified. Peach association mapping is an effective approach for identifying QTLs and may be an alternative to QTL mapping based on crosses between different lines.
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Projects
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Project NameDescription
Peach_complex_traits_GWAS_Cao_2012
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Peach_complex_traits_GWAS_Cao_104Peach_complex_traits_GWAS_Cao_104panel