首页|期刊导航|植物遗传资源学报|小麦茎秆倒伏性状的QTL定位与候选基因挖掘

小麦茎秆倒伏性状的QTL定位与候选基因挖掘OA

QTL Mapping Analysis of Lodging-Related Traits in Wheat and Candidate Gene Prediction

中文摘要英文摘要

倒伏受遗传与环境共同调控,解析其遗传基础并定位关键QTL,对提高小麦(Triticum aestivum L.)茎秆质量、保障小麦稳产和遗传改良具有重要意义.本研究以中科0101与新麦23构建的双单倍体(DH,doubled haploid)群体为材料,结合高密度遗传图谱,对该群体4个环境下的倒伏性状进行QTL定位分析;通过基因功能注释和公共表达数据库,预测主效位点的候选基因,并进行RT-qPCR验证.结果显示,倒伏相关性状均呈现较高的遗传力和丰富的遗传变异,其中茎秆强度(抗推力、基部第二节间折断力、基部第三节间折断力)与基部第二节间茎粗、基部第二节间壁厚、基部第三节间茎粗及基部第三节间壁厚均存在显著或极显著正相关.利用小麦高密度遗传连锁图谱,对倒伏性状进行连锁分析,共鉴定到与多性状连锁的QTL簇11个,分别位于2B、4A、4B、4D、5A、6D和7B染色体上,解释了4.50%~25.13%的表型贡献率.位于6D染色体上的稳定QTL簇Qcd3/ct3.cas-6D(25.44~38.81 Mb)与基部第三节间茎粗和基部第三节间壁厚紧密连锁,解释了7.89%~9.80%的表型贡献率.该区间内存在参与果胶激活的细胞外基质信号通路和木质素生物合成的3个潜在候选基因.本研究丰富了小麦抗茎倒的遗传资源,为进一步挖掘抗倒伏相关基因和遗传改良奠定了基础.

Lodging is jointly regulated by genetic factors and environmental conditions.Elucidating its genetic basis and mapping key quantitative trait loci(QTLs)hold profound significance for improving stem quality of common wheat(Triticum aestivum L.),thereby ensuring stable wheat yields and advancing genetic improvement programs in breeding practices.In this study,a doubled haploid(DH)population derived from the cross between Zhongke 0101 and Xinmai 23 was used as experimental materials.Combined with a high-density genetic linkage map,QTL mapping for lodging-related traits of the DH population was performed across four environments.Candidate genes associated with major effect QTL clusters were predicted through gene functional annotation and analysis of public gene expression databases,and validated by RT-qPCR.The main results showed that:All lodging-related traits exhibited high heritability and abundant genetic variation within the DH population.Specifically,stem strength-related traits,including thrust and breaking strength of basal internodes,was significantly or extremely significantly positively correlated with the stem diameter and wall thickness of the second and third basal internode.Linkage analysis of the lodging trait was conducted using a high-density genetic linkage map of wheat,and a total of 11 QTL clusters associated with multiple traits were identified,which were distributed on chromosomes 2B,4A,4B,4D,5A,6D,and 7B,respectively.These QTL clusters explained the phenotypic variation ranging from 4.50%to 25.13%.A novel QTL cluster,named as Qcd3/ct3.cas-6D,was mapped to the genomic interval of 25.44-38.81 Mb on chromosome 6D.The candidate QTL cluster was tightly linked to two important lodging-related traits:culm diameter of the third basal internode and culm wall thickness of the third basal internode.This candidate QTL cluster is a stable locus consistently detected across multiple environments,explaining the phenotypic variation ranging from 7.89%to 9.80%for these traits.Within this interval,three potential candidate genes were predicted to be involved in two critical biological pathways related to cell wall fortification:the extracellular matrix signaling pathway associated with pectin activation and modification,and the phenylpropanoid pathway leading to lignin biosynthesis.Over all,these finding,which QTL clusters associated with multiple traits and candidate genes were identified,not only enrich the genetic resources for wheat stem lodging resistance but also provide important theoretical basis for the further excavation of lodging resistance-related genes and the development of molecular breeding strategies.

程媛;严胜男;郭建军;都恩乐;赵菲;王子琪;蹇双灵;汤才国;吴丽芳

中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中国科学技术大学研究生院科学岛分院,合肥 230026中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中科合肥智能育种加速器创新研究院有限公司,合肥 230093中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中国科学技术大学研究生院科学岛分院,合肥 230026中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中科合肥智能育种加速器创新研究院有限公司,合肥 230093中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中国科学技术大学研究生院科学岛分院,合肥 230026||中科合肥智能育种加速器创新研究院有限公司,合肥 230093中国科学院合肥物质科学研究院离子束生物工程与绿色农业研究中心,合肥 230031||中国科学技术大学研究生院科学岛分院,合肥 230026||中科合肥智能育种加速器创新研究院有限公司,合肥 230093

小麦倒伏性状双单倍体群体QTL定位RT-qPCR

wheatlodging traitsdoubled haploid populationQTL mapping analysisRT-qPCR

《植物遗传资源学报》 2026 (4)

702-711,10

国家自然科学基金(32201760)安徽省重点研究与开发计划(2023n06020028)中科合肥智能育种加速器创新研究院有限公司项目(NB2024005-02)National Natural Science Foundation of China(32201760)Anhui Provincial Key Research and Development Project(2023n06020028)Institute of Hefei Artificial Intelligence Breeding Accelerator Co.Ltd(NB2024005-02)

10.13430/j.cnki.jpgr.20251215002

评论