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Mapping crown rust resistance at multiple time points in elite oat germplasm
The Plant Genome ( IF 3.9 ) Pub Date : 2020-04-02 , DOI: 10.1002/tpg2.20007
Ian G. McNish 1 , Cristiano M. Zimmer 2 , Alexander Q. Susko 1 , D. Jo Heuschele 1 , Tyler Tiede 3 , Austin J. Case 4 , Kevin P. Smith 1
Affiliation  

Crown rust, caused by Puccinia coronata f. sp. avenae Erikss., is the most important disease impacting cultivated oat (Avena sativa L.). Genetic resistance is the most desirable management strategy. The genetic architecture of crown rust resistance is not fully understood, and previous mapping investigations have mostly ignored temporal variation. A collection of elite oat lines sourced from oat breeding programs in the American Upper Midwest and Canada was genotyped using a high‐density genotyping‐by‐sequencing system and evaluated for crown rust disease severity at multiple time points throughout the growing season in three disease nursery environments. Genome‐wide association mapping was conducted for disease severity on each observation date of each trial, area under the disease progress curve for each trial, heading date for each trial, and area under the disease progress curve in a multi‐environment model. Crown rust resistance quantitative trait loci (QTL) were detected on linkage groups Mrg05, Mrg12, Mrg15, Mrg18, Mrg20, and Mrg33. None of these QTL were coincident with a days‐to‐heading QTL detected on Mrg02. Only the QTL detected on Mrg15 was detected in multiple mapping models. The QTL on Mrg05, Mrg12, Mrg18, Mrg20, and Mrg33 were detected on only a single observation date and were not detected on observations just days before and after. This result uncovers the importance of temporal variation in mapping experiments which is usually ignored. It is possible that high density temporal data could be used to more precisely characterize the nature of plant resistance in other systems.

中文翻译:

绘制燕麦燕麦种质中多个时间点的冠锈病抗性

冠锈病,由Puccinia coronata引起。sp。燕麦属Erikss。是影响栽培燕麦(Avena sativaL.)。遗传抗性是最理想的管理策略。冠锈病抗性的遗传结构尚不完全清楚,以前的作图研究大多忽略了时间变化。使用高密度基因分型测序系统对源自美国中西部和加拿大燕麦育种计划的一些优质燕麦品系进行基因分型,并在三个疾病苗圃的整个生长季节的多个时间点评估冠锈病的严重程度环境。在多环境模型中,对每个试验的每个观察日期,每个试验的疾病进展曲线下的区域,每个试验的前进日期以及疾病进展曲线下的区域进行了全基因组关联映射。在连锁组Mrg05,Mrg12,Mrg15,Mrg18,Mrg20和Mrg33上检测到了冠锈抗性定量性状基因座(QTL)。这些QTL均与Mrg02上检测到的连续QTL不一致。在多个映射模型中仅检测到在Mrg15上检测到的QTL。仅在单个观察日期检测到Mrg05,Mrg12,Mrg18,Mrg20和Mrg33的QTL,而在前后几天的观察中未检测到QTL。该结果揭示了通常在映射实验中时间变化的重要性。高密度的时间数据可能被用来更精确地表征其他系统中植物抗性的特性。在多个映射模型中仅检测到在Mrg15上检测到的QTL。仅在单个观察日期检测到Mrg05,Mrg12,Mrg18,Mrg20和Mrg33的QTL,而在前后几天的观察中未检测到QTL。该结果揭示了通常在映射实验中时间变化的重要性。高密度的时间数据可能被用来更精确地表征其他系统中植物抗性的特性。在多个映射模型中仅检测到在Mrg15上检测到的QTL。仅在单个观察日期检测到Mrg05,Mrg12,Mrg18,Mrg20和Mrg33的QTL,而在前后几天的观察中未检测到QTL。该结果揭示了通常在映射实验中时间变化的重要性。高密度的时间数据可能被用来更精确地表征其他系统中植物抗性的特性。
更新日期:2020-04-02
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