Identification of quantitative trait loci underlying soybean (Glycine max [L.] Merr.) seed weight including main, epistatic and QTL × environment effects in different regions of Northeast China
Identification of quantitative trait loci underlying soybean (Glycine max [L.] Merr.) seed weight including main, epistatic and QTL × environment effects in different regions of Northeast China
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大豆 (Glycine max [L.] Merr.) 种子重量数量性状基因座的鉴定，包括中国东北不同地区的主要、上位和 QTL — 环境影响
DOI：
10.1111/pbr.12574
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发表时间：
2018-04
期刊：
影响因子：
2
通讯作者：
Wenbin Li
中科院分区：
文献类型：
--
作者：
Depeng Wu;Yuhang Zhan;Qiuxia Sun;Lingxiu Xu;Ming Lian;Xue Zhao;Yingpeng Han;Wenbin Li
大豆（Glycine max [L.] Merr.），产量构成，也影响了大豆衍生食品的质量。本研究以“中豆27”（G. max）和“九农20”（G. max）杂交获得的112个重组自交系（RIL）为材料，分析了小麦抗倒性的数量性状位点（QTL）。在16个测试环境中生长后，从该RIL群体收集表型数据。共检测到8个QTL（QSW 1 - 1、QSW 2 - 1、QSW 2 - 2、QSW 5 - 1、QSW 15 - 1、QSW 17 - 1、QSW 19 - 1和QSW 20 - 1），可解释4.23%~ 14.65%的表型变异。在这8个QTL中，（QSW 1 - 1位于（Chr）1的Sat_159-Satt 603区间（LGD 1a）、QSW 19 - 1位于（Chr 19）的Sat_340-Satt 523区间（LGL）和QSW 20 - 1位于（Chr 20）的Sat_418-Sat_105区间（LGI））是新发现的，可解释4.235%-10.08%，表型变异率分别为8.45%-13.49%和8.08%-10.18%。其中6个QTL（QSW 2 - 2、QSW 5 - 1、QSW 15 - 1、QSW 17 - 1、QSW 19 - 1和QSW 20 - 1）表现出显著的加性效应，而2个QTL（QSW 2 - 1和QSW 19 - 1）仅表现出显著的环境加性效应。在不同的环境中共检测到4个SW上位性成对QTL。本研究获得的8个QTL及其遗传信息对大豆分子标记辅助选择和实现合理的SW育种具有重要的参考价值。
Seed weight (SW) is the important soybean (Glycine max [L.] Merr.), yield component and also affected the quality of soybean‐derived foods. The aim of this study was to identify the quantitative trait loci (QTL) underlying SW through 112 recombinant inbred lines (RILs) derived from the cross between “Zhongdou27” (G. max, designated by its bigger seed size, 21.9 g/100 seeds) and “Jiunong 20” (G. max, smaller seed size, 17.5 g/100 seeds). Phenotypic data were collected from this RIL population after it was grown in the sixteen tested environments. A total of eight QTL (QSW1‐1, QSW2‐1, QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1) were identified, and they could explain 4.23%–14.65% of the phenotypic variation. Among these eight QTL, three QTL (QSW1‐1 located on the interval of Sat_159‐Satt603 of chromosome (Chr) 1 (LGD1a), QSW19‐1 located on the interval of Sat_340‐Satt523 of Chr 19 (LGL) and QSW20‐1 located on Sat_418‐Sat_105 of Chr 20 (LGI)) were newly identified and could explain 4.235%–10.08%, 8.45%–13.49% and 8.08%–10.18% of the phenotypic variation, respectively. Six of the eight identified QTL including QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1 exhibited a significant additive (a) effect, while two QTL (QSW2‐1 and QSW19‐1) only displayed significant additive‐by‐environment (ae) effects. A total of four epistatic pairwise QTL for SW were identified in the different environments. These eight QTL and their genetic information obtained here were valuable for molecular marker‐assisted selection and the realization of a reasonable SW breeding programme in soybean.
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影响因子：
6.9
作者：
Yinghu Zhang;Jianbo He;Yufeng Wang;G. Xing;Jinming Zhao;Yan Li;Shouping Yang;Reid G. Palmer
通讯作者：
Yinghu Zhang;Jianbo He;Yufeng Wang;G. Xing;Jinming Zhao;Yan Li;Shouping Yang;Reid G. Palmer
影响因子：
1.5
作者：
Liang, Huizhen;Xu, Lanjie;Zhang, Haiyang
通讯作者：
Zhang, Haiyang
野生大豆 (Glycine soja Sieb.) 百粒重的 QTL 定位及上位效应分析
影响因子：
3.7
作者：
Xin D;Qi Z;Jiang H;Hu Z;Zhu R;Hu J;Han H;Hu G;Liu C;Chen Q
通讯作者：
Chen Q
影响因子：
27.5
作者：
Lu, Xiang;Xiong, Qing;Zhang, Jin-Song
通讯作者：
Zhang, Jin-Song
影响因子：
2
作者：
Long Yan;Ying-hui Li;Chunyan Yang;S. Ren;R. Chang;Meng-chen Zhang;L. Qiu
通讯作者：
Long Yan;Ying-hui Li;Chunyan Yang;S. Ren;R. Chang;Meng-chen Zhang;L. Qiu