Location: Crop Protection and Management ResearchTitle: Development of diagnostic markers from disease resistance QTLs for marker-assisted breeding in peanut
|CHOUDHARY, DIVYA - University Of Georgia|
|WANG, HUI - University Of Georgia|
|AGARWAL, GAURAV - University Of Georgia|
|CULBREATH, ALBERT - University Of Georgia|
|PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India|
|VARSHNEY, PAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India|
|CHU, YE - University Of Georgia|
|OZIAS-AKINS, PEGGY - University Of Georgia|
|Holbrook, Carl - Corley|
Submitted to: American Peanut Research and Education Society Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 5/1/2017
Publication Date: 7/11/2017
Citation: Choudhary, D., Wang, H., Agarwal, G., Culbreath, A., Pandey, M., Varshney, P., Chu, Y., Ozias-Akins, P., Holbrook Jr, C.C., Guo, B. 2017. Development of diagnostic markers from disease resistance QTLs for marker-assisted breeding in peanut [abstract]. American Peanut Research and Education Society Abstracts.
Technical Abstract: Breeding for disease resistance in peanut cultivars has been constrained due to both a narrow genetic base and a low degree of polymorphism. Earlier attempts have resulted in the development of a few hundreds of simple sequence repeat (SSR) markers in peanut that could define broad QTL on the physical map. The scarcity of markers on generated maps, however, impeded the development of trait associated markers. In order to narrow these QTL regions, and place additional markers in the SSR-defined QTL previously identified, we used the whole genome re-sequencing (WGRS) and/or 58k SNP array derived SNP markers to genotype a RIL mapping population such as the "T" derived from Tifrunner x GT-C20. These markers have been used to develop a high density genetic map for fine-mapping of QTLs. In order to utilize the identified QTLs and the released peanut reference genome sequences, we are attempting to develop and validate diagnostic markers for application in marker-assisted breeding. For example, BLAST results of EST sequences containing the SSR markers defined the originally identified QTL of sizes, 115.43 Mb, 85.2 Mb and 0.8 Mb for Tomato spotted wilt virus (TSWV), early, and late leaf spot (ELS and LLS), respectively, on the physical map. This current study has identified 611, 1424 and 21 SNPs within these broad QTL regions on chromosomes A04 and A06 for TSWV, ELS, and LLS, respectively. The newly developed SNP markers within the QTL will not only provide a better resolution of the QTL, but also result in more robust marker-trait associations. Also, with the availability of WGRS data of additional mapping population such as the "S" of SunOleic 97R x NC94022, more SNP markers linked to disease related traits will be identified. This information will be used to develop diagnostic markers that can be utilized for broad applications in marker assisted selection in breeding programs, and for possible map-based cloning of these genes.