Establishing an association between molecular markers and sheath blight ('Rhizoctonia solani Kuhn') resistance in rice

Q3 Agricultural and Biological Sciences
Megha Joshi, P. Singh, Showkat A. Waza, Vineeta Singh, S. Goswami, Pallavi, Sujit Kumar, Anil Kumar Singh, N. Zaidi, U. Singh
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引用次数: 2

Abstract

The use of multiple regression analysis to validate molecular markers associated with sheath blight resistance was carried out in 73 germplasm accessions of rice. Data on disease reaction was recorded as lesion size and used for calculation of AUDPC (Area Under Disease Progress Curve) and Percent Disease Index (PDI). A variation in AUDPC ranging from 217.78 to 793.33 with a mean value of 532.51 was recorded for the genotypes infected with sclerotia. PDI ranged from 28.89 to 84.44 with the mean values of 55.40 for infected lines. The AUDPC and PDI values for resistant check Tetep were found to be 432.70 and 45.22, respectively. Higher AUDPC and PDI values serve as an indication for susceptibility towards the disease reaction. The PIC value for the SSR loci varied from 0.225 to 0.743 with an average value of 0.47. Markers RM336, RM209, RM251 and RM224 were most informative on the basis of their high PIC values. UPGMA clustering based on molecular data and AUDPC were found to be in good agreement with each other. Twenty five germplasm accessions were grouped as common in cluster I of dendrogram generated by all alleles, cluster I of dendrogram constructed by Tetep specific alleles, and clusters I and II of the AUDPC dendrogram. Multiple regression analysis revealed that the two markers RM251175 and RM257150 may be considered as markers for association with low disease index (resistance to sheath blight) in rice. Amongst the germplasm accessions, IC383396 and IC426017 behaved as potentially resistant to sheath blight.
建立分子标记与水稻纹枯病抗性之间的关系
采用多元回归分析方法,对73份水稻种质资料进行了抗纹枯病相关分子标记的验证。疾病反应数据记录为病变大小,用于计算疾病进展曲线下面积(AUDPC)和百分比疾病指数(PDI)。不同菌核感染基因型的AUDPC变异范围为217.78 ~ 793.33,平均值为532.51。PDI范围为28.89 ~ 84.44,平均为55.40。耐药检查testep的AUDPC和PDI分别为432.70和45.22。较高的AUDPC和PDI值可作为对疾病反应易感性的指示。SSR位点的PIC值为0.225 ~ 0.743,平均值为0.47。标记RM336、RM209、RM251和RM224在其高PIC值的基础上信息量最大。基于分子数据的UPGMA聚类与AUDPC聚类结果吻合较好。将25份种质资源分为由所有等位基因产生的树图聚类I、由特步特异等位基因构建的树图聚类I和AUDPC树图聚类I和聚类II。多元回归分析表明,RM251175和RM257150两个标记可能是水稻低病指数(抗纹枯病)的相关标记。其中,IC383396和IC426017对纹枯病表现出潜在抗性。
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来源期刊
Plant Omics
Plant Omics 生物-植物科学
CiteScore
1.30
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: Plant OMICS is an international, peer-reviewed publication that gathers and disseminates fundamental and applied knowledge in almost all area of molecular plant and animal biology, particularly OMICS-es including: Coverage extends to the most corners of plant and animal biology, including molecular biology, genetics, functional and non-functional molecular breeding and physiology, developmental biology, and new technologies such as vaccines. This journal also covers the combination of many areas of molecular plant and animal biology. Plant Omics is also exteremely interested in molecular aspects of stress biology in plants and animals, including molecular physiology.
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