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作物学报 ›› 2025, Vol. 51 ›› Issue (8): 2111-2127.doi: 10.3724/SP.J.1006.2025.41069

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

小麦抗条锈病相关性状元分析及候选基因分析

张飞飞1(), 何万龙1, 焦文娟1, 白斌2, 耿洪伟1, 程宇坤1,*()   

  1. 1新疆农业大学农学院 / 新疆农业大学优质专用麦类作物工程技术研究中心, 新疆乌鲁木齐 830052
    2甘肃农业科学院小麦研究所, 甘肃兰州 730070
  • 收稿日期:2024-10-12 接受日期:2025-04-27 出版日期:2025-08-12 网络出版日期:2025-05-09
  • 通讯作者: *程宇坤, E-mail: ykcheng@126.com
  • 作者简介:E-mail: zhang-ff@163.com
  • 基金资助:
    新疆维吾尔自治区高校基本科研业务费科研项目(XIEDU20241042);新疆维吾尔自治区重点研发计划项目(2022B02015-3);中国博士后科学基金(2021MD703887)

Meta-analysis of stripe rust resistance-associated traits and candidate gene identification in wheat

ZHANG Fei-Fei1(), HE Wan-Long1, JIAO Wen-Juan1, BAI Bin2, GENG Hong-Wei1, CHENG Yu-Kun1,*()   

  1. 1College of Agronomy, Xinjiang Agricultural University / Special High Quality Triticeae Crops Engineering and Technology Research Center, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
    2Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, Gansu, China
  • Received:2024-10-12 Accepted:2025-04-27 Published:2025-08-12 Published online:2025-05-09
  • Contact: *E-mail: ykcheng@126.com
  • Supported by:
    Fundamental Research Funds for Universities of the Xinjiang Uygur Autonomous Region(XIEDU20241042);Key Research and Development Program Project of the Xinjiang Uygur Autonomous Region(2022B02015-3);China Postdoctoral Science Foundation(2021MD703887)

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摘要：

小麦条锈病是由条形柄锈菌小麦专化型(Puccinia striiformis f. sp. Tritici)引起的真菌病害, 是小麦生产中主要病害之一。利用元分析(meta-analysis)对已报道的小麦条锈病抗病数量性状位点(quantitative trait locus, QTL)和已知抗病基因(Yr)进行统合分析, 将480个不同分子标记类型QTL通过构建的参考图谱进行映射, 获得meta-QTL (meta-quantitative trait locus, MQTL) 90个, 其中16个与严重度(disease severity, DS)相关、10个与反应型(infection type, IT)相关、7个与病程曲线下面积相关(area under disease progress curve, AUDPC)、3个与其他抗条锈病性状相关; 有19个同时与DS和IT共相关、20个与DS和AUDPC共相关、15个与IT和AUDPC共相关。获得的MQTL非均匀分布于21条染色体上, 部分MQTL聚合成簇; 解释表型变异率范围2.00%~63.01%, 置信区间范围为0.01~24.60 cM; 映射的MQTL包含13个抗病基因: Yr5, Yr7, Yr17, Yr18, Yr28, Yr29, Yr30, Yr44, Yr48, Yr52, Yr54, Yr67和Yr82。进一步对MQTL进行候选基因分析, 鉴定了72个候选基因(candidate gene, CG), 功能注释和表达模式分析发现, CG编码的蛋白质含有与抗病相关的如NBS-LRR结构域、WRKY结构域、F-box结构域、糖转运蛋白等; 并且研究了CG在小麦发育过程中不同叶片组织中的表达情况。本研究通过分子标记辅助育种将抗条锈病基因或QTL聚合培育获得小麦抗病品种, 为有效提高小麦抗病水平、保障粮食安全提供参考。

关键词: 小麦, 条锈病, 元分析, MQTL

Abstract:

Wheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), poses a serious threat to global wheat production. In this study, we performed a comprehensive meta-analysis of 480 published quantitative trait loci (QTL) and known resistance genes (Yr) associated with stripe rust resistance in wheat. These QTLs were projected onto a consensus genetic map, resulting in the identification of 90 meta-QTLs (MQTLs). Among these MQTLs, 16 were associated with disease severity (DS), 10 with infection type (IT), 7 with the area under the disease progress curve (AUDPC), and 3 with other resistance-related traits. Additionally, 19 MQTLs were associated with both DS and IT, 20 with DS and AUDPC, and 15 with IT and AUDPC. The MQTLs were unevenly distributed across the 21 wheat chromosomes, with several forming clusters. These MQTLs explained phenotypic variances ranging from 2.00% to 63.01%, with confidence intervals spanning 0.01 to 24.60 cM. Thirteen MQTLs co-localized with known resistance genes, including Yr5, Yr7, Yr17, Yr18, Yr28, Yr29, Yr30, Yr44, Yr48, Yr52, Yr54, Yr67, and Yr82. Furthermore, candidate gene (CG) analysis identified 72 genes within the MQTL regions. Functional annotation and expression profiling revealed that many of these CGs encode proteins involved in sugar transport or contain resistance-related domains such as NBS-LRR, WRKY, and F-box. Expression analysis across different leaf tissues further supported their potential roles in defense responses. These findings provide valuable molecular markers and candidate genes for the pyramiding of resistance QTLs/genes, offering a promising strategy for developing stripe rust-resistant wheat cultivars and contributing to global food security.

Key words: wheat, stripe rust, meta-analysis, MQTL

图1

QTL在21条染色体上的分布"

图2

具有不同LOD值的主要QTL"

图3

具有不同PVE的主要QTL"

图4

Meta-QTL分析的标记在参考图谱上的分布"

图5

不同小麦染色体上的MQTL数量"

图6

具有不同数量的初始QTL的MQTL数量"

图7

元分析显示QTLs置信区间的倍数降低"

图8

MQTL在21条小麦染色体上的分布 绿色: MQTL; 黑色: GWAS验证的MQTL; 蓝色: MQTL热点; 红色: GWAS验证的MQTL和QTL热点区域。"

图9

基于与抗条锈病性状相关的MQTL的21条小麦染色体同源性图"

表1

MQTL与已知的主要抗锈基因共定位"

MQTLs 染色体
Chr.		 共定位基因
Co-localized gene
MQTL1B.3 1B Yr29
MQTL2A.1 2A Yr17/Lr37
MQTL2B.1 2B Yr44
MQTL2B.3 2B Yr5/Yr7
MQTL2D.2 2D Yr54
MQTL3B.1 3B Yr82
MQTL3B.1 3B Yr30
MQTL3B.2 3B Yr30
MQTL4D.2 4D Yr28
MQTL5A.1 5A Yr48
MQTL7B.4 7B Yr52/Yr67
MQTL7D.1 7D Yr18

图10

候选基因在不同小麦组织不同时期的表达模式"

图11

MQTL区域推定候选基因的2级基因本体(GO)术语"

图12

MQTL区域内候选基因的(KEGG)富集通路"

表2

MQTL的差异比较"

来源
Origin		 时间
Time		 标记数目
No. of markers		 标记类型
Marker types		 MQTLs 置信区间
CI
(cM)		 平均置信区间
Mean CI
(cM)		 QTL数量
No. of Yr genes and QTLs		 映射数量
No. of mappings		 映射成功文献数
No. of citations
程宇坤[42] 1997-2018 12,681 DArT, SSR, 55K SNP 12 0.03‒89.56 12.52 79Yr，342QTLs 194 58
Jan[43] 2000‒2020 76,753 DArT, SSR, 90K SNP 61 0.02‒11.47 9.78 353QTLs 184 70
Kumar[41] 2002‒2022 138,574 ITMI_SSR图谱
ITMI_SSR map
2004小麦SSR参考图谱
Wheat, Consensus SSR map, 2004
硬粒小麦参考图谱
an integrated map for durum wheat
9K SNP、55K SNP、90K SNP、660K SNP标记
wheat 9K 、55K、90K、660K SNP markers		 67 0‒11.68 1.97 505QTLs 380 117
本研究 1997‒2024 138,574 ITMI_SSR图谱
ITMI_SSR map
2004小麦SSR参考图谱
Wheat, Consensus SSR map, 2004
硬粒小麦参考图谱
an integrated map for durum wheat
9K SNP、55K SNP、90K SNP、660K SNP标记
wheat 9K 、55K、90K、660K SNP markers		 90 0.01‒24.60 7.09 1656QTLs 480 165
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