Association analysis of vegetable soybean quality traits with SSR markers

• Published in: Plant breeding Vol. 130; no. 4; pp. 444 - 449
• Main Authors: Hou, Jinfeng, Wang, Chuanlin, Hong, Xuejuan, Zhao, Jinming, Xue, Chenchen, Guo, Na, Gai, Junyi, Xing, Han
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01.08.2011; Blackwell
• Subjects: Agronomy. Soil science and plant productions; amino acid composition; Amino acid sequence; Association analysis; association mapping; Biological and medical sciences; chromosome mapping; Classical and quantitative genetics. Population genetics. Molecular genetics; Fundamental and applied biological sciences. Psychology; Gene mapping; Generalities. Genetics. Plant material; Genetic distance; Genetics and breeding of economic plants; Linkage disequilibrium; loci; marker-trait associations; microsatellite repeats; Molecular genetics; Plant breeding; Population structure; Quantitative trait loci; Simple sequence repeats; Soybeans; Statistical analysis; Sucrose; vegetable soybean; Vegetables; Cartography; Quality criterion; Genetic marker; vegetable soybean; Population structure; Soybean; Glycine max; Grain legume; trait associations; Leguminosae; association mapping; Dicotyledones; Microsatellite DNA; marker; Angiospermae; Genetic improvement; Genetic linkage; Spermatophyta; linkage disequilibrium
• ISSN: 0179-9541; 1439-0523
• DOI: 10.1111/j.1439-0523.2011.01852.x

With 2 figures and 4 tables ABSTRACT: Association mapping is a useful alternative to linkage mapping for the detection of marker-phenotype associations. The main objective of this study is to identify simple sequence repeat (SSR) markers associated with the vegetable soybean quality traits of 100-pod weight, 100-seed weight, sucrose content and free amino acid content. The four quality traits were evaluated in 323 soybean cultivar accessions from China, and the 323 accessions were genotyped with 101 SSR markers. Analysis of population structure revealed two subgroups in the population. The mean linkage disequilibrium (LD) value (D′) for all statistically significant loci pairs was 0.258. The decay of the LD based on the D′ value showed little change with the increasing genetic distance between pairs. A total of 79 marker-trait associations related to the four traits were identified, involving 44 different SSR markers. According to the results, the association analysis approach in this study can be an effective method for quantitative trait loci mapping and can help breeders to develop new strategies for improving vegetable soybean quality.