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| 1 | 西南地区小麦种质资源白粉病抗性的全基因组关联分析显示文摘为了有效利用我国西南地区小麦抗白粉病种质资源,于2012―2013年在贵州贵阳、贵州赫章和四川绵阳以及2013―2014年在贵州贵阳对主要来自西南地区的120个小麦品种(系)进行了白粉病抗性鉴定,并利用小麦90K芯片进行全基因组关联分析。抗病性鉴定结果显示,36个品种(系)在四个环境下均表现出抗性,其中大部分品种(系)来自贵州省。全基因组关联分析发现,16个SNP位点与白粉病抗性显著相关,分别位于1A、1D、2A、3A、4B、5B、6A、6D和7B染色体上,其中位于6AS染色体重要区段上的3个SNP位点(Jagger_c4823_169、Tdurum_contig55201_928和Tdurum_contig12215.89)的遗传距离小于1 cM,在四个环境中均与白粉病抗性显著相关。相关分析表明,这3个SNP位点与Pm21分子标记(SCAR1265)紧密连锁。 | 高煜 程斌 丁延庆 曹宁 高旭 张立异 | 2021 | 麦类作物学报2021，41，2： | 6 |
| 2 | Integration of meta-QTL discovery with omics: Towards a molecular breeding platform for improving wheat resistance to Fusarium head blight显示文摘Fusarium head blight(FHB) is a global wheat disease that devastates wheat production. Resistance to FHB spread within a wheat spike(type Ⅱ resistance) and to mycotoxin accumulation in infected kernel(type Ⅲ resistance) are the two main types of resistance. Of hundreds of QTL that have been reported, only a few can be used in wheat breeding because most show minor and/or inconsistent effects in different genetic backgrounds. We describe a new strategy for identifying robust and reliable meta-QTL(mQTL)that can be used for improvement of wheat FHB resistance. It involves integration of mQTL analysis with mQTL physical mapping and identification of single-copy markers and candidate genes. Using metaanalysis, we consolidated 625 original QTL from 113 publications into 118 genetic map-based mQTL(gmQTL). These gmQTL were further located on the Chinese Spring reference sequence map. Finally, 77 high-confidence mQTL(hcmQTL) were selected from the reference sequence-based mQTL(smQTL).Locus-specific single nucleotide polymorphism(SNP) and simple sequence repeat(SSR) markers and17 genes responsive to FHB were then identified in the hcmQTL intervals by combined analysis of transcriptomic and proteomic data. This work may lead to a comprehensive molecular breeding platform for improving wheat resistance to FHB. | Tong Zheng Chen Hua Lei Li Zhengxi Sun Minmin Yuan Guihua Bai Gavin Humphreys Tao Li | 2021 | The Crop Journal2021，9，4： | 4 |
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