[1]马孟莉,江玲,刘艳红,等.利用籼粳交BIL群体定位水稻谷粒长宽比QTL[J].江苏农业学报,2015,(02):236-240.[doi:10.3969/j.issn.1000-4440.2015.02.002]
　MA Meng-li,JIANG Ling,LIU Yan-hong,et al.Quantitative trait locus(QTL) mapping of grain length-width ratio by using indica-japonica backcross inbred line（BIL） population in rice[J].,2015,(02):236-240.[doi:10.3969/j.issn.1000-4440.2015.02.002]
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利用籼粳交BIL群体定位水稻谷粒长宽比QTL()
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江苏农业学报[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年02期
页码:
236-240
栏目:
遗传育种·生理生化
出版日期:
2015-04-30

文章信息/Info

Title:
Quantitative trait locus(QTL) mapping of grain length-width ratio by using indica-japonica backcross inbred line（BIL） population in rice
作者:
马孟莉1; 江玲2; 刘艳红1; 雷恩1; 李春燕1; 卢丙越1
（1.红河学院生命科学与技术学院/云南省高校农作物优质高效栽培与安全控制重点实验室，云南蒙自661100；2.南京农业大学作物遗传与种质创新国家重点实验室，江苏南京210095）
Author(s):
MA Meng-li1; JIANG Ling2; LIU Yan-hong1; LEI En1; LI Chun-yan1; LU Bing-yue1
(1.College of Life Science and Technology, Honghe University/ Key Laboratory of Crop High Quality and Efficient Cultivation and Security Control of College in Yunnan Province， Mengzi 661100，China;2.State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing 210095, China)
关键词:
水稻; 谷粒长宽比; QTL定位
Keywords:
rice; grain length-width ratio; quantitative trait locus （QTL） mapping
分类号:
S511.01
DOI:
10.3969/j.issn.1000-4440.2015.02.002
文献标志码:
A
摘要:
本研究以122个南粳35/N22//南粳35构建的回交重组自交系（BIL）群体为材料，通过两年重复试验，利用WinQTLcart2.5和QTLNetwork2.0软件对控制水稻谷粒长宽比的数量性状基因位点（QTL）进行定位分析。利用WinQTLcart2.5共检测到5个控制谷粒长宽比的QTLs，分别位于第1、4、5、7和12染色体上，单个QTL对表型的贡献率为8.80%～18.83%。利用QTLNetwork2.0共检测到4个QTLs，贡献率为7.36%～16.05%,除qLWR-1未被检测到外，其余QTLs与WinQTLcart2.5检测结果吻合，除qLWR-4外，谷粒长宽比增效基因均来自长粒型水稻品种N22；此外还检测到3对上位性QTLs，贡献率为1.12%～4.97%。
Abstract:
The quantitative trait locus (QTL) controlling grain length-width ratio were mapped by using a backcross inbred lines (BIL) population derived from a cross between a japonica parent Nanjing35 and an indica parent N22. Five putative QTLs were identified on chromosomes 1, 4, 5, 7, 12 using WinQTLcart2.5 software in two years, and the percentage of phenotypic variance explained ranged from 8.80% to 18.83%. Four putative QTLs were mapped on chromosomes 4, 5, 7, 12 using QTLNetwork2.0 software, explaining 7.36% to 16.05% phenotypic variation. Except for qLWR-1, the location and effect were the same to those using WinQTLcart2.5. Alleles of these QTLs were from long-grained variety N22 except for qLWR-4. Three pairs of epistatic QTLs were also detected, explaining 1.12% to 4.97% phenotypic variation. No significant interaction was detected between QTLs and environments.

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备注/Memo

备注/Memo:
收稿日期：2014-09-23 基金项目：云南省应用基础研究计划项目（2013FZ124）；云南省教育厅科学研究基金项目（2013Y066）；红河学院中青年学术骨干培养计划项目（2014GG0101）；红河学院博士科研启动专项项目（14bs17） 作者简介：〖JP2〗马孟莉（1985-），女，云南曲靖人，硕士，助教，研究方向为精确农业。(Tel)13769430165;（E-mail）mamlsky@126.com〖JP〗 通讯作者：卢丙越，（E-mail）lby202@126.com
更新日期/Last Update: 2015-04-30