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作物学报 ›› 2019, Vol. 45 ›› Issue (11): 1664-1671.doi: 10.3724/SP.J.1006.2019.92003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

水稻黑条矮缩病抗性QTL定位

刘江宁1,2,王楚鑫1,2,张宏根1,2,*(),缪一栩1,2,高海林1,2,许作鹏1,2,刘巧泉1,2,汤述翥1,2   

  1. 1 江苏省作物遗传生理重点实验室 / 植物功能基因组学教育部重点实验室 / 江苏省作物基因组学和分子育种重点实验室 / 扬州大学农学院, 江苏扬州225009
    2 江苏省粮食作物现代产业技术协同创新中心 / 扬州大学, 江苏扬州225009
  • 收稿日期:2019-01-11 接受日期:2019-06-12 出版日期:2019-11-12 网络出版日期:2019-07-09
  • 通讯作者: 张宏根
  • 基金资助:
    本研究由国家转基因生物新品种培育重大专项(2016ZX08001002-003);国家自然科学基金项目(31771743);江苏高校优势学科建设工程项目资助

Mapping of QTLs for resistance to rice black-streaked dwarf disease

LIU Jiang-Ning1,2,WANG Chu-Xin1,2,ZHANG Hong-GEN1,2,*(),MIAO Yi-Xu1,2,GAO Hai-Lin1,2,XU Zuo-Peng1,2,LIU Qiao-Quan1,2,TANG Shu-Zhu1,2   

  1. 1 Jiangsu Key Laboratory of Crop Genetics and Physiology / Key Laboratory of Plant Functional Genomics of the Ministry of Education / Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding, Agricultural College of Yangzhou University, Yangzhou 225009, Jiangsu, China
    2 Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, Jiangsu, China
  • Received:2019-01-11 Accepted:2019-06-12 Published:2019-11-12 Published online:2019-07-09
  • Contact: Hong-GEN ZHANG
  • Supported by:
    This study was supported by the National Major Project for Developing New GM Crops(2016ZX08001002-003);the National Natural Science Foundation of China(31771743);the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)

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摘要：

发掘水稻黑条矮缩病的抗性基因有助于抗病品种的选育, 减少黑条矮缩病对水稻生产的危害。本研究构建了包含222个家系的L5494/IR36重组自交系群体。对该群体进行黑条矮缩病的田间诱发鉴定, 抗性亲本IR36发病率为28.70%, 感病亲本L5494发病率为84.26%, 群体发病率范围为11.21%~89.81%。利用134对分子标记构建覆盖12条染色体的遗传连锁图谱, 总遗传距离为1475.97 cM, 平均标记间距为11.1 cM。利用QTL IciMapping 4.0对抗黑条矮缩病QTL进行分析, 共检测到4个QTL, 其中第1、第2、第9染色体上QTL的表型贡献率分别为12.64%、16.00%和8.43%, 抗病等位基因来自抗病亲本IR36; 第6染色体上QTL的表型贡献率为10.82%, 抗病等位基因来自感病亲本L5494。在此基础上, 利用93-11为供体、日本晴为背景的近等基因系材料, 在qRBSDV-1定位区间内检测到来自93-11的抗性QTL。本研究结果为水稻黑条矮缩病抗性基因定位及分子标记辅助选择育种提供借鉴。

关键词: 水稻黑条矮缩病, 重组自交系, QTL定位

Abstract:

Rice black-streaked dwarf virus disease (RBSDV) may cause great loss of rice production, and breeding resistant varieties is an effective method to control RBSDV. To develop resistant varieties, it is important to screen germplasm that shows RBSDV resistance and to identify the genes/quantitative trait loci (QTLs) contained. In the present study, a set of 222 recombinant inbred lines (RILs) derived from the cross between L5494 (a susceptible japonica variety) and IR36 (a resistant indica variety) were constructed for RBSDV-resistant QTL mapping. With natural infection test, the RBSDV incidences of L5494 and IR36 were 84.26% and 28.70%, respectively, and the disease incidence of RILs was ranged from 11.21% to 89.81%. Using 134 polymorphic molecular markers, a linkage genetic map was constructed. The map covered a total length of 1475.97 cM with an average interval of 11. 1 cM between adjacent markers. Four RBSDV-resistant QTLs were discovered using QTL IciMapping 4.0 Software, of which, qRBSDV-1, qRBSDV-2, and qRBSDV-9 were from the resistant parent IR36, and qRBSDV-6 from the susceptible parent L5494. QTLs qRBSDV-1, qRBSDV-2, qRBSDV-6, and qRBSDV-9 were located on chromosomes 1, 2, 6, and 9, respectively, which explained 12.64%, 16.00%, 10.82%, and 8.43% of the phenotypic variations. Moreover, a RBSDV-resistant QTL from 93-11 (O. sativa spp. indica) at the qRBSDV-1 locus was confirmed by a near isogenic line that harbors qRBSDV-1 derived from 93-11 with the Nipponbare (O. sativa spp. japonica) genetic background. Our findings will be benefit for the marker assisted breeding of RBSDV-resistant varieties.

Key words: rice black-streaked dwarf viral disease, recombinant inbred line, QTL mapping

图1

IR36、L5494与群体中小区发病情况 A: 亲本IR36; B: 亲本L5494; C: 群体中重病小区。"

图2

重组自交系群体发病率次数分布图"

图3

基于L5494/IR36 RIL群体构建的遗传连锁图谱"

图4

水稻黑条矮缩病抗性QTL在染色体上的位置"

表1

L5494/ IR36重组自交系抗病QTL定位结果"

数量性状位点
QTL		 年份
Year		 染色体
Chr.		 左侧标记
Left marker		 右侧标记
Right marker		 临界值
LOD		 表型贡献率
PVE (%)		 加性效应值
Add.
qRBSDV-1 2015 Chr.1 AP-39.6 RM104 2.96 6.19 4.39
2016 Chr.1 AP-39.6 RM104 4.44 12.64 7.16
qRBSDV-2 2016 Chr.2 CHR2-4 RM341 6.89 16.00 7.61
qRBSDV-6 2013 Chr.6 RM19234 CHR-6-1 4.68 13.33 -2.61
2014 Chr.6 RM19234 CHR-6-1 2.91 11.00 -2.11
2016 Chr.6 RM19234 CHR-6-1 5.45 10.82 -6.20
qRBSDV-9 2013 Chr.9 RM242 RM160 3.30 8.71 2.10
2014 Chr.9 RM242 RM160 4.56 12.27 2.11
2015 Chr.9 RM242 RM160 3.48 6.62 4.31
2016 Chr.9 RM242 RM160 3.94 8.43 5.48

图5

代换系N9的重测序图谱 蓝线、红线分别表示对应SNP位点为日本晴与93-11基因型, 红框表示93-11导入片段。"

表2

日本晴与9311及N9发病情况"

年份
Year		 供试材料
Variety		 重复1发病率
Repeat 1		 重复2发病率
Repeat 2		 重复3发病率
Repeat 3		 平均发病率
Average
2017 日本晴Nipponbare 31.20 32.73 29.63 31.19
93-11 18.33 10.19 18.35 15.62**
N9 25.65 29.17 24.32 26.38*
2018 日本晴Nipponbare 8.00 18.00 13.00 10.33
93-11 0 3.00 3.00 2.00*
N9 4.00 1.00 1.02 2.01*

图6

2017年日本晴及N9田间发病情况 A: 日本晴; B: N9。"

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