Association mapping of agronomic and quality traits in USDA pea single-plant collection

Publication Overview
TitleAssociation mapping of agronomic and quality traits in USDA pea single-plant collection
AuthorsCheng P, Holdsworth W, Ma Y, Coyne CJ, Mazourek M, Grusak MA, Fuchs S, McGee RJ
TypeJournal Article
Journal NameMolecular breeding
Volume35
Issue2
Year2015
Page(s)277
CitationCheng P, Holdsworth W, Ma Y, Coyne CJ, Mazourek M, Grusak MA, Fuchs S, McGee RJ. Association mapping of agronomic and quality traits in USDA pea single-plant collection. Molecular breeding. 2015; 35(2):277.

Abstract

Association mapping is an efficient approach for the identification of the molecular basis of agronomic traits in crop plants. For this purpose in pea (Pisum sativum L.), we genotyped and phenotyped individual lines of the single-plant-derived core collection of the USDA pea collection including accessions from 330 landraces and cultivars of Pisum sativum subsp. sativum var. sativum, 28 P. sativum subsp. elatius var. elatius, 16 P. sativum subsp. sativum var. arvense, four P. sativum subsp. elatius var. pumilio, three P. abyssinicum, two P. fulvum, and one P. sativum subsp. transcaucasicum. These 384 accessions were collected or donated from a total of 64 countries. The accessions were genotyped with 256 informative SNPs using a primer extension chemistry and matrix-assisted laser desorption/ionization (MALDI–TOF) mass spectrometry assay. Genetic structure analysis showed that the collection was structured into two main groups, corresponding roughly to the cultivated types/landraces and the more primitive form species and subspecies, with some intermediates. Linkage disequilibrium of pairwise loci and population structure of the collection were analyzed, and an association analysis between SNP genotypes and 25 valuable traits such as disease resistance, seed type/color, flower color, seed low molecular weight carbohydrate concentration, and seed mineral nutrient concentration was performed using a mixed linear model. A total of 71 marker–trait associations were detected as significant with 1–34 markers per trait based on the false discovery rate (FDR < 0.05). This study demonstrates the potential of using association mapping to identify markers for pea breeding.
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Additional details for this publication include:
Property NameValue
Publication Model[electronic resource].
URLhttp://dx.doi.org/10.1007/s11032-015-0277-6
Publication TypeJournal Article
Publication Date2015
Published Location|||
Language Abbreng
KeywordsPisum sativum subsp. sativum var. sativum, USDA, agronomic traits, breeding, chromosome mapping, color, cultivars, desorption, disease resistance, flowers, genotype, ionization, landraces, linear models, linkage disequilibrium, loci, mass spectrometry, molecular weight, nutrient content, peas, population structure, single nucleotide polymorphism
Cross References
This publication is also available in the following databases:
DatabaseAccession
AGL: USDA National Agricultural LibraryAGL:5131406