大豆百粒重QTL定位及多样性评价

doi:10.3864/j.issn.0578-1752.2016.09.002

Abstract

Abstract: 【Objective】 Seed weight is a major target of breeding as it is not only a component of seed yield but it also affects quality, so, different uses have different requirements for it. This study is to identify QTL associated with 100-seed weight, obtain the linkage markers and explore its diversity. Eventually provide a scientific basis of genetic improvement of seed weight.【Method】Recombinant inbred lines (RIL) derived from a cross of Jidou12×Heidou were used to detect the QTL associated with 100-seed weight, the composite interval mapping (CIM) method in WinQTL Cartographer software was used for the QTL analysis based on the seed weight observed in two years. A putative QTL was claimed using a genome-wise type I error of P＜0.05 determined by 300 permutations. In addition, a total of 205 soybean landraces and improved cultivars were used to identify phenotype through 3 years, and genotyped by SSR marker that linked with seed weight. Allelic frequency variation is more than 5% (corresponding to the number of resource materials is more than 10) as the efficient allelic variation.【Result】In RIL, the distribution frequency of seed weight was basically in normal, and the narrow-sense heritability was 88.72%. Five QTL for 100-seed weight were identified. These QTL scattered on Chr.02 (D1b), Chr.06 (C2), Chr.08 (A2) and Chr.17 (D2), respectively and could explain 7.68%-12.83% of the phenotype variation. The additive effect of the QTL varied from 0.65 g to 0.84 g. Two QTL were detected in two years. The qSW-6-1 flanked by SSR markers Satt457 and Sat_062 on Chr.06 explaining 12.02% of the phenotype variation, linked marker was Satt281, and the additive effect was -0.81 g. The qSW-17-1 flanked by SSR markers Satt301 to Satt310 on Chr.17 explaining 12.83% of the variation, and the additive effect was -0.84 g. Based on the germplasm, the allele number of the eight SSR loci, associated with five QTL identified via RIL, varied from 2 to 8, and the genetic diversity index varied from 0.34 to 0.82. Six alleles, Satt281-227 bp, Barcsoyssr_2_304-245 bp, Satt301-199 bp, Sat_406-214 bp, Satt119-136 bp and Satt341-218 bp, were correlated with large seed weight. Satt281-227 bp was the novel alleles in RIL and nature population, mainly distributed in the domestic improved cultivars that with big seed weight. Among the 205 accessions, only three accessions (Lü75, Zhongpindaheidou, Zhongye2) contained more than four alleles associated with large seed weight. 【Conclusion】 In this study, five QTL associated with 100-seed weight were identified by linkage analysis in RIL which crossed by improved cultivars Jidou12 and landraces Heidou. One allele of these was additive effect among RIL and nature population. The diversity distribution was made clear among the 205 accessions. The results can be applied to the parental selection and marker-assisted breeding in the process of seed weight improvement.

Key words: soybean, 100-seed weight, QTL, germplasm, genetic diversity

CHEN Qiang, YAN Long, FENG Yan, DENG Ying-ying, HOU Wen-huan, LIU Qing, LIU Bing-qiang, YANG Chun-yan, ZHANG Meng-chen. Identify QTL Associated with Soybean 100-Seed Weight Using Recombinant Inbred Lines and Determine QTL Diversity Within Nature Population[J].Scientia Agricultura Sinica, 2016, 49(9): 1646-1656.

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Identify QTL Associated with Soybean 100-Seed Weight Using Recombinant Inbred Lines and Determine QTL Diversity Within Nature Population

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