欢迎访问作物学报,今天是

作物学报 ›› 2007, Vol. 33 ›› Issue (08): 1380-1384.

• 研究简报 • 上一篇    下一篇

回交高代选择导入系的纹枯病抗性与抗旱性的遗传重叠研究

郑天清1,2,4;徐建龙2;傅彬英2;高用明2;Satish VERUKA4;Renee LAFITTE4;翟虎渠3;万建民1,2;朱苓华2;黎志康2,4,*   

  1. 1南京农业大学作物遗传与种质创新国家重点实验室,江苏省植物基因工程研究中心, 江苏 南京 210095;2中国农业科学院作物科学研究所,北京 100081;3中国农业科学院,北京 100081;4国际水稻研究所,菲律宾马尼拉DAPO Box 7777
  • 收稿日期:2006-06-16 修回日期:1900-01-01 出版日期:2007-08-12 网络出版日期:2007-08-12
  • 通讯作者: 黎志康

Preliminary Identification of Genetic Overlaps between Sheath Blight Resistance and Drought Tolerance in the Introgression Lines from Directional Selection

ZHENG Tian-Qing124,XU Jian-Long2,FU Bing-Ying2,GAO Yong-Ming2,Satish VERUKA4,Renee LAFITTE4,ZHAI Hu-Qu3,WAN Jian-Min12,ZHU Ling-Hua2,LI Zhi-Kang24*   

  1. 1 State Key Laboratory for Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University,Research Center of Plant Gene Engineering, Nanjing 210095, China; 2 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China; 3 Chinese Academy of Agricultural Sciences, Beijing 100081, China; 4 International Rice Research Institute, DAPO Box 7777, Metro Manila, Philippines
  • Received:2006-06-16 Revised:1900-01-01 Published:2007-08-12 Published online:2007-08-12
  • Contact: LI Zhi-Kang

摘要:

利用来自抗旱性较好的供体亲本(BG300和BG304)、具有两种遗传背景(IR64和特青)的水稻高代回交(BC2)抗旱选择导入系,通过人工接种的方法鉴定纹枯病抗性,考察纹枯病抗性与抗旱性之间可能存在的遗传重叠。通过与受体亲本的纹枯病抗性表现比较发现,具有特青背景的抗旱选择导入系倾向于纹枯病抗性的降低,而IR64背景的抗旱选择导入系则倾向于纹枯病抗性的增强。基于基因型与表型的方差分析共鉴定到6个与纹枯病抗性相关的位点,其中QSbr6在不同供体和背景的两个群体中分别检测到,而QSbr10则在同一供体的两个遗传背景下均检测到;有3个位点(QSbr6QSbr8QSbr10)与同一群体中检测到的抗旱性位点位置相近,很可能是两种抗性重叠的遗传基础。尽管方差分析的方法在选择导入系的非选择目标性状相关位点的鉴定中存在相当程度的偏低估计,本研究所检测到的纹枯病抗性位点,特别是那些与抗旱性重叠位点的分子标记以及相关的抗性株系仍将为进一步的水稻纹枯病抗性和抗旱性的多抗性育种和深入的遗传重叠研究提供有用的信息和材料。

关键词: 水稻, 抗旱性, 纹枯病抗性, 遗传重叠, 数量性状位点

Abstract:

With the combination of advanced backcrossing and artificial directional selection for yield under drought stresses at rain-fed lowland and upland, sixty-five BC2 introgression lines (ILs) with two relatively uniformed genetic backgrounds (IR64 and Teqing) and two donors with relatively good drought tolerances (BG300 and BG304) were developed and assayed with SSR makers. Using this set of materials, SBR was identified by artificial inoculations of R. solani from fields at Philippines belonging to the AG-1 group. Lengths of all lesions (TLL) from 5 randomly selected tillers per hill were measured. Analysis of genetic overlap between SBR and DT was carried out at two levels. First is the phenotypic analysis for SBR of the DT ILs from directional selection, in which the recurrent parents (RP) were used as the control and the ILs behaved better in yield were selected under the stress when the RP were almost killed and had not seed. The Teqing DT ILs tended to be decreased in SBR due to the selective introgression comparing with their RP, which showed medium resistance (MR) in our test; while the IR64 DT ILs tended to be increased in SBR comparing with IR64, which represented medium susceptibility (MS) in the same test. This kind of purge caused by directional selection indicated the possible correlation of DT with SBR in this set of ILs at the phenotypic level. The sencond is the genomic region overlaps detected by ANOVA and excessive introgression. Besides the underestimates by ANOVA of SBR loci, a total of six loci were found to be associated with SBR in DT ILs and five of them matched the 7 of the 26 loci reported previously by other researchers. Among the 6 loci, QSbr10 was detected for the same donor alleles in both backgrounds, while QSbr6 was detected for different donor alleles in different backgrounds; three loci (QSbr6, QSbr8, and QSbr10) overlaped the DT loci detected with the same ILs in our previous study.

Key words: Rice (Oryza sativa L.), Drought tolerance (DT), Sheath blight resistance (SBR), Genetic overlap, QTL

[1] 田甜, 陈丽娟, 何华勤. 基于Meta-QTL和RNA-seq的整合分析挖掘水稻抗稻瘟病候选基因[J]. 作物学报, 2022, 48(6): 1372-1388.
[2] 郑崇珂, 周冠华, 牛淑琳, 和亚男, 孙伟, 谢先芝. 水稻早衰突变体esl-H5的表型鉴定与基因定位[J]. 作物学报, 2022, 48(6): 1389-1400.
[3] 周文期, 强晓霞, 王森, 江静雯, 卫万荣. 水稻OsLPL2/PIR基因抗旱耐盐机制研究[J]. 作物学报, 2022, 48(6): 1401-1415.
[4] 郑小龙, 周菁清, 白杨, 邵雅芳, 章林平, 胡培松, 魏祥进. 粳稻不同穗部籽粒的淀粉与垩白品质差异及分子机制[J]. 作物学报, 2022, 48(6): 1425-1436.
[5] 颜佳倩, 顾逸彪, 薛张逸, 周天阳, 葛芊芊, 张耗, 刘立军, 王志琴, 顾骏飞, 杨建昌, 周振玲, 徐大勇. 耐盐性不同水稻品种对盐胁迫的响应差异及其机制[J]. 作物学报, 2022, 48(6): 1463-1475.
[6] 杨建昌, 李超卿, 江贻. 稻米氨基酸含量和组分及其调控[J]. 作物学报, 2022, 48(5): 1037-1050.
[7] 王兴荣, 李玥, 张彦军, 李永生, 汪军成, 徐银萍, 祁旭升. 青稞种质资源成株期抗旱性鉴定及抗旱指标筛选[J]. 作物学报, 2022, 48(5): 1279-1287.
[8] 杨德卫, 王勋, 郑星星, 项信权, 崔海涛, 李生平, 唐定中. OsSAMS1在水稻稻瘟病抗性中的功能研究[J]. 作物学报, 2022, 48(5): 1119-1128.
[9] 朱峥, 王田幸子, 陈悦, 刘玉晴, 燕高伟, 徐珊, 马金姣, 窦世娟, 李莉云, 刘国振. 水稻转录因子WRKY68在Xa21介导的抗白叶枯病反应中发挥正调控作用[J]. 作物学报, 2022, 48(5): 1129-1140.
[10] 王小雷, 李炜星, 欧阳林娟, 徐杰, 陈小荣, 边建民, 胡丽芳, 彭小松, 贺晓鹏, 傅军如, 周大虎, 贺浩华, 孙晓棠, 朱昌兰. 基于染色体片段置换系群体检测水稻株型性状QTL[J]. 作物学报, 2022, 48(5): 1141-1151.
[11] 王泽, 周钦阳, 刘聪, 穆悦, 郭威, 丁艳锋, 二宫正士. 基于无人机和地面图像的田间水稻冠层参数估测与评价[J]. 作物学报, 2022, 48(5): 1248-1261.
[12] 陈悦, 孙明哲, 贾博为, 冷月, 孙晓丽. 水稻AP2/ERF转录因子参与逆境胁迫应答的分子机制研究进展[J]. 作物学报, 2022, 48(4): 781-790.
[13] 王吕, 崔月贞, 吴玉红, 郝兴顺, 张春辉, 王俊义, 刘怡欣, 李小刚, 秦宇航. 绿肥稻秆协同还田下氮肥减量的增产和培肥短期效应[J]. 作物学报, 2022, 48(4): 952-961.
[14] 巫燕飞, 胡琴, 周棋, 杜雪竹, 盛锋. 水稻延伸因子复合体家族基因鉴定及非生物胁迫诱导表达模式分析[J]. 作物学报, 2022, 48(3): 644-655.
[15] 陈云, 李思宇, 朱安, 刘昆, 张亚军, 张耗, 顾骏飞, 张伟杨, 刘立军, 杨建昌. 播种量和穗肥施氮量对优质食味直播水稻产量和品质的影响[J]. 作物学报, 2022, 48(3): 656-666.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!