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大豆种子蛋白质含量相关数量性状位点的鉴定,包括中国东北不同地区的主效应、上位效应以及QTL与环境互作效应

Identification of quantitative trait loci underlying seed protein content of soybean including main, epistatic, and QTL × environment effects in different regions of Northeast China.

作者信息

Teng Weili, Li Wen, Zhang Qi, Wu Depeng, Zhao Xue, Li Haiyan, Han Yingpeng, Li Wenbin

机构信息

Key Laboratory of Soybean Biology in Chinese Ministry of Education (Northeastern Key Laboratory of Soybean Biology and Genetics & Breeding in Chinese Ministry of Agriculture), Northeast Agricultural University, Harbin, China, 150030.

出版信息

Genome. 2017 Aug;60(8):649-655. doi: 10.1139/gen-2016-0189. Epub 2017 Apr 26.

Abstract

The objective here was to identify QTL underlying soybean protein content (PC), and to evaluate the additive and epistatic effects of the QTLs. A mapping population, consisting of 129 recombinant inbred lines (RILs), was created by crossing 'Dongnong 46' and 'L-100'. Phenotypic data of the parents and RILs were collected for 4 years in three locations of Heilongjiang Province of China. A total of 213 SSR markers were used to construct a genetic linkage map. Eight QTLs, located on seven chromosomes (Chr), were identified to be associated with PC among the 10 tested environments. Of the seven QTLs, five QTLs, qPR-2 (Satt710, on Chr9), qPR-3 (Sat_122, on Chr12), qPR-5 (Satt543, on Chr17), qPR-7 (Satt163, on Chr18), and qPR-8 (Satt614, on Chr20), were detected in six, seven, seven, six, and seven environments, respectively, implying relatively stable QTLs. qPR-3 could explain 3.33%-11.26% of the phenotypic variation across eight tested environments. qPR-5 and qPR-8 explained 3.64%-10.1% and 11.86%-18.40% of the phenotypic variation, respectively, across seven tested environments. Eight QTLs associated with PC exhibited additive and (or) additive × environment interaction effects. The results showed that environment-independent QTLs often had higher additive effects. Moreover, five epistatic pairwise QTLs were identified in the 10 environments.

摘要

本研究旨在鉴定大豆蛋白质含量(PC)相关的数量性状位点(QTL),并评估这些QTL的加性效应和上位性效应。通过将“东农46”与“L-100”杂交,构建了一个由129个重组自交系(RIL)组成的作图群体。在中国黑龙江省的三个地点,对亲本和RIL进行了4年的表型数据收集。共使用213个SSR标记构建遗传连锁图谱。在10个测试环境中,鉴定出8个与PC相关的QTL,分布在7条染色体(Chr)上。在这7个QTL中,5个QTL,即qPR-2(位于Chr9上的Satt710)、qPR-3(位于Chr12上的Sat_122)、qPR-5(位于Chr17上的Satt543)、qPR-7(位于Chr18上的Satt163)和qPR-8(位于Chr20上的Satt614),分别在6个、7个、7个、6个和7个环境中被检测到,这意味着这些QTL相对稳定。qPR-3在8个测试环境中可解释3.33%-11.26%的表型变异。qPR-5和qPR-8在7个测试环境中分别解释3.64%-10.1%和11.86%-18.40%的表型变异。8个与PC相关的QTL表现出加性和(或)加性×环境互作效应。结果表明,与环境无关的QTL通常具有较高的加性效应。此外,在10个环境中鉴定出5对上位性QTL。

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