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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #335071
Title: High density genetic linkage map and bin mapping for disease resistance QTLs in peanut

Author
item AGARWAL, GAURAV - University Of Georgia
item SONG, HUI - University Of Georgia
item WANG, HUI - University Of Georgia
item PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item CULBREATH, ALBERT - University Of Georgia
item LIU, XIN - Bgi Shenzhen
item WANG, XINGJUN - Shandong Academy Of Agricultural Sciences
item BERTIOLI, DAVID - University Of Brasilia
item JACKSON, SCOTT - University Of Georgia
item VARSHNEY, RAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item CLEVENGER, JOSH - University Of Georgia
item OZIAS-AKINS, PEGGY - University Of Georgia
item Guo, Baozhu

Submitted to: Plant and Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 12/1/2016
Publication Date: 1/14/2017
Citation: Agarwal, G., Song, H., Wang, H., Pandey, M.K., Culbreath, A.K., Liu, X., Wang, X., Bertioli, D.J., Jackson, S.A., Varshney, R.K., Clevenger, J.P., Ozias-Akins, P., Guo, B. 2017. High density genetic linkage map and bin mapping for disease resistance QTLs in peanut [abstract]. Plant and Animal Genome Conference.

Interpretive Summary:

Technical Abstract: Mapping and identification of QTLs are important for efficient marker-assisted breeding and for analysis of the molecular mechanisms regulating traits. Diseases, such as early and late leaf spots, Tomato spotted wilt virus (TSWV), cause significant loses to peanut growers. Our goal is to develop a high-density genetic linkage map for QTL mapping of traits of interest. Two recombinant inbred line (RIL) populations have been developed and used for SSR-based QTL mapping, the “S” and the “T” population derived from SunOleic 97R × NC94022 and Tifrunner × GT-C20, respectively. QTLs have been identified for oil contents and disease resistance. However, these QTL regions cover large segments on the physical map. In order to fine map these QTLs and to generate a high density genetic linkage map, we applied whole genome re-sequencing (WGRS) based QTL-seq strategy to identify QTLs of interest. The genomes of parents and RILs were re-sequenced. Tifrunner was sequenced to 60X coverage, and the other three parental genotypes to 10-12X coverage. A total of 261 RILs (143 S-lines and 118 T-lines) were re-sequenced to 2-5X coverage, resulting in a total of ~3 Tb data. The parental and population sequencing data were mapped to the diploid peanut reference genomes with 74-77% of the total reads aligned. Genome-wide variations, including SNP, InDel and other types of variation, could be detected. A high density genetic map will be constructed, and recombination breakpoints identified allowing for their use as markers for QTL analysis. The combination of bin mapping-based QTL and gene enrichment analyses will result in prioritizing a set of candidate genes for disease resistance and important agronomic traits.