Location: Crop Protection and Management ResearchTitle: QTL analysis of disease resistance to leaf spots and TSWV in peanut (Arachis hypogaea) Author
Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 1/10/2015
Publication Date: 1/29/2015
Citation: Wang, H., Khera, P., Culbreath, A.K., Holbrook Jr, C.C., Varshney, R.K., Guo, B. 2015. QTL analysis of disease resistance to leaf spots and TSWV in peanut (Arachis hypogaea). Meeting Abstract. American Phytopathology Society meeting, February 1-2, 2015, Atlanta, Georgia. Interpretive Summary:
Technical Abstract: Early leaf spot (ELS), caused by Cercospora arachidicola, late leaf spot (LLS), caused by Cercosporidium personatum, and Tomato spotted wilt virus (TSWV) result in great losses in yield in peanut (Arachis hypogaea L.). In order to identify quantitative trait loci (QTL) for resistance to these diseases, and also identify markers linked to these traits, a genetic linkage map was constructed using a population of 162 recombinant inbred lines (RILs) from a cross between ‘Tifrunner’ and ‘GT-C20’. The map consisted of 426 SSR markers arranged into 24 linkage groups (LGs) with a total map length of 1980.78cM and an average distance of 4.6cM between adjacent loci. These RILs were evaluated for resistance to ELS, LLS, and TSWV in the field from 2009 to 2013. A total of 49 QTL were identified on 16 LGs for these disease resistance traits with phenotypic variance explained (PVE) ranged from 6.26% to 15.54%. Of these QTL, 16 were for ELS, 22 for LLS, and 11 for TSWV, respectively. Among the 49 QTL, 13 QTL were found to be major QTLs (PVE >10%), including 7 for ELS, 5 for LLS and 1 for TSWV. Four consistently expressed QTL regions were identified in more than two environments for ELS (LGa05, LGa06), LLS (LGa05) and TSWV (LGa04) with PVE of up to 13.20%, 12.35% and 14.40%, respectively. Interestingly, LGa05 was identified as a “resistance gene rich” LG for both ELS and LLS. Further study is needed to identify the potential resistance gene(s) through fine-mapping approach.