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| 小麦抗条锈病一致性数量性状位点(MQTL)图谱构建 | |
| 引用本文： | 程宇坤,姚方杰,叶雪玲,江千涛,李伟,邓梅,魏育明,陈国跃.小麦抗条锈病一致性数量性状位点(MQTL)图谱构建[J].植物病理学报,2019,49(5):632-649. |
| 作者姓名： | 程宇坤 姚方杰 叶雪玲 江千涛 李伟 邓梅 魏育明 陈国跃 |
| 作者单位： | 四川农业大学小麦研究所,成都 611130; 四川农业大学农学院, 成都 611130 |
| 基金项目： | “十三五”国家重点研发计划(2016YFD0100100) |
| 摘 要： | 小麦条锈病是造成小麦减产和品质劣化的最重要病害,定位小麦染色体上一致性条锈病抗性基因/位点/区段是小麦条锈病抗性分子育种的重要基础。本研究对至今分子标记和遗传定位的342个条锈病抗性基因/位点/区段进行数据搜集整理,借助Maccaferr和Andrzej的参考图谱,基于元分析技术进行Meta-QTL(MQTL)检测,共获得194个小麦抗条锈病MQTL,包括74个与严重度(Disease severity, DS)相关,46个与反应型(Infection type, IT)相关、19个与病程曲线下面积相关(Area under disease progress curve, AUDPC)、28个与DS和IT共相关、6个与DS和AUDPC共相关、15个与IT和AUDPC共相关、6个与其他条锈病抗性性状相关。这些抗条锈病一致性QTL定位于小麦21条染色体上,呈非均匀分布,且部分MQTL集中成簇。通过与已发表的正式命名抗条锈病基因比较分析,发现大多数正式命名基因定位于MQTL簇区段,说明这些MQTL簇区段很可能是控制小麦条锈病抗性热点区域。控制小麦抗条锈病一致性QTL遗传图谱的构建为小麦条锈病抗性基因精细定位及抗病育种提供了遗传信息参考依据。 |
| 关 键 词： | 小麦 条锈病 一致性数量性状位点(MQTL) 元分析 |
| 收稿时间： | 2018-10-10 |
Construction of linkage map of the meta quantitative trait loci (MQTL) on stripe rust resistance in wheat (Triticum aestivum L.) |
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| CHENG Yu-kun,YAO Fang-jie,YE Xue-ling,JIANG Qian-tao,LI Wei,DENG Mei,WEI Yu-ming,CHEN Guo-yue.Construction of linkage map of the meta quantitative trait loci (MQTL) on stripe rust resistance in wheat (Triticum aestivum L.)[J].Acta Phytopathologica Sinica,2019,49(5):632-649. | |
| Authors: | CHENG Yu-kun YAO Fang-jie YE Xue-ling JIANG Qian-tao LI Wei DENG Mei WEI Yu-ming CHEN Guo-yue |
| Institution: | Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China; College of Agronomy, Sichuan Agricultural University, Chengdu 611130,China |
| Abstract: | Stripe rust is one of the most serious diseases affecting wheat yield. The most effective way to control stripe rust is using the molecule method to find the quantitative trait loci (QTL). To explore trueand main QTLs for stripe rust resistance, a total of 342QTLs from different genetic mappingpopulations in wheat were carried out by meta-analysis technique and constructed the consistency map depending on wheat Yr genes and QTL genetic maps and DArT4.0 genetic maps as reference maps. The results showed that 194 QTLs overlapped the same marker intervals with the reference map. Among these QTLs, 74 and 46 QTLs were related to disease severity (DS) and infection type (IT), respectively. The other QTLs were involved in area under the disease progress curve (AUDPC, 19QTLS), DS and IT (28 QTLs), DS and AUDPC (6 QTLs), IT and AUDPC (15QTLs), and the other index (6 QTLs). The QTL consistency map of wheat stripe rust resistance was constructed. The MQTLs showed non-uniform distribution and some MQTLs were clustered on wheat chromosomes. Meanwhile, comparing the MQTL clusters with the officially named Yr genes, it showed that some clusters and Yrgeneswere located at the same chromosome regions. It indicated that these chromosomal regions maybe the hotspot regions for stripe rust genes. So, the linkage map of the meta quantitative trait loci on stripe rust resistance in wheat might provide theoretical idea for fine mapping and cloning of QTL controlling stripe rust in wheat. |
| Keywords: | wheat stripe rust meta quantitative trait loci meta-analysis |
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