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20181
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Subject: Biotechnology and Molecular Biology × Author: Aditi × Start date: 1982 × Type: Thesis ×
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    ThesisItemOpen Access
    EST-SSR and RGA polymorphism for diversity analysis and bacterial leaf blight resistance in clusterbean [Cyamopsis tetragonoloba (L.)Taub.
    (CCSHAU, 2018) Aditi; Yadav, Neelam R.
    Cyamopsis tetragonoloba (L.) Taub., commonly known as “guar”, traditionally used as forage crop, has gained the status of an industrial crop, due to the presence of galactomannan (guar gum) in its endosperm. Bacterial Leaf Blight is one of the most devastating disease in cluster bean and the crop has undergone severe yield loses due to disease incidence for last few years. This investigation was carried out to study EST-SSRs which are the most preferred molecular markers and RGAs polymorphism for genetic diversity analysis. In the study 158 cluster bean germplasm lines were grown in field at two different locations. Morphological evaluation was carried out for various agronomical and yield attributes. Galactomannan content was estimated and was found in the range of 14.25 to 42.23 per cent. The molecular analysis was carried out using 218 molecular markers out of which 85 were found to be polymorphic and used for diversity analysis. The dendrogram obtained on the basis of molecular marker analysis divided the genotypes into two major clusters at the similarity coefficient of 0.63. The cross transferability EST-SSRs and SSRs from other legume species was studied and found to be 18.75 per cent. The markers used in the study were observed to have PIC value in the range of 0.322-0.791. Multiple sequence alignment of RGA sequences of HG75 and C. serrata including HES1401 resulted into the presence of SNPs and In/Dels. In silico analysis of sequences of PCR amplified product of RGA (RGK03HD07) and EST-SSR (GDR 10) resulted into similarity of wild species with NBS-LRR of Medicago trunculata which further provide opportunity for identification of resistance gene in cluster bean. Further, the morphological and molecular data was used for association mapping. Association analysis resulted into population structure with K=2 (number of cluster) with eight possible sub groups in STRUCTURE (2.3.4). A total of 22 different marker trait associations were observed using TASSEL (2.1) for P<0.05. Three markers (CBN22, CTF229 and GDR8) were found to be associated with seed yield.