Skip to main content
ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #297533
Title: Genetic mapping and quantitative trait loci analysis for disease resistance using F2 and F5 generation-based genetic maps derived from 'Tifrunner' x'GT-C20' in peanut

Author
item WANG, HUI - Fujian Agricultural & Forestry University
item PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item QIAO, LIXIAN - Qingdao Agricultural University
item QIN, HONGDE - Hubei Academy Of Agricultural Sciences
item CULBREATH, ALBERT - University Of Georgia
item HE, GUOHAO - Tuskegee University
item VARSHNEY, RAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item Scully, Brian
item Guo, Baozhu

Submitted to: The Plant Genome
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/19/2013
Publication Date: 11/1/2013
Citation: Wang, H., Pandey, M., Qiao, L., Qin, H., Culbreath, A.K., He, G., Varshney, R.K., Scully, B.T., Guo, B. 2013. Genetic mapping and quantitative trait loci analysis for disease resistance using F2 and F5 generation-based genetic maps derived from 'Tifrunner' x'GT-C20' in peanut. The Plant Genome. 6(3):1-10.

Interpretive Summary: Lack of molecular markers and genetic linkage maps for peanut severely hampers peanut genetic improvement efforts. One mapping population derived from Tifrunner × GT-C20 has shown great potential in developing a high dense genetic map and identification of genetic markers linked to important disease resistance. This study reported the makers indentified by using the multi-environment phenotype data in three years from higher generation recombinant inbred lines for disease resistance such as Tomato spotted wilt virus (TSWV) and leaf spot (LS) and the F2 and F5 generation-based genetic maps. There were 54 quantitative trait marker loci identified in the F2 map including two for thrips (12.14 – 19.43% phenotypic variance explained, PVE), 15 for TSWV (4.40–34.92% PVE) and 37 for LS (6.61–27.35% PVE). Twenty-three quantitative trait marker loci could be identified in F5 map including one for thrips (5.86% PVE), nine for TSWV (5.20 – 14.14% PVE) and 13 for LS (5.95–21.45% PVE). Consistent quantitative trait marker loci identified in each map have shown higher phenotypic variance than non-consistent quantitative trait marker loci. This is the first quantitative trait marker loci study reporting novel potential marker loci for thrips, TSWV and LS in peanut, and thus, future studies will be conducted to refine these quantitative trait marker loci for potential application in breeding selection.

Technical Abstract: One mapping population derived from Tifrunner × GT-C20 has shown great potential in developing a high dense genetic map and identification of QTLs for important disease resistance, Tomato spotted wilt virus (TSWV) and leaf spot (LS). Both F2 and F5 generation-based genetic maps were constructed previously with 318 and 239 marker loci, respectively. Higher map density could be achieved with the F2 map (5.3 cM per locus) as compared to the F5 (5.7 cM per locus). QTL analysis using multi-environment phenotyping data from F8 and higher generation for disease resistance identified 54 QTLs in the F2 map including two QTLs for thrips (12.14 – 19.43% PVE), 15 for TSWV (4.40–34.92% PVE) and 37 for LS (6.61–27.35% PVE). Twenty-three QTLs could be identified in F5 map including one QTL for thrips (5.86% PVE), nine for TSWV (5.20 – 14.14% PVE) and 13 for LS (5.95–21.45% PVE). Consistent QTLs identified in each map have shown higher phenotypic variance than non-consistent QTLs. As expected, the number of QTLs and their estimates of phenotypic variance were lower in the F5 map. This is the first QTL study reporting novel QTLs for thrips, TSWV and LS in peanut, and thus, future studies will be conducted to refine these QTLs.