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ARS Home » Southeast Area » Tifton, Georgia » Crop Genetics and Breeding Research » Research » Publications at this Location » Publication #352198
Research Project: Improvement of Genetic Resistance to Multiple Biotic and Abiotic Stresses in Peanut

Location: Crop Genetics and Breeding Research

Title: Genome-wide association study of agronomic and disease resistance traits using peanut nested association maping populations

Author
item Guo, Baozhu
item GANGURDE, S - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item PANDEY, M - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item VARSHNEY, R - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item WANG, H - University Of Georgia
item AGARWAL, G - University Of Georgia
item CULBREATH, A - University Of Georgia
item HAN, S - Tuskegee University
item HE, G - Tuskegee University
item CHU, Y - University Of Georgia
item OZIAS-AKINS, P - University Of Georgia
item Holbrook, Carl - Corley

Submitted to: American Peanut Research and Education Society Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 6/1/2018
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: The U.S. peanut community has developed structured populations with 2 common parents (Tifrunner and Florida 07) and 8 diverse founders which form the basis of 2 nested association mapping (NAM) populations. This NAM approach has great potential for investigating quantitative agronomic traits and finding their genomic control using next generations sequencing. Here, our goal was to demonstrate the utility of peanut NAM populations by using a subset of the available populations (2 x 4) of 1250 RIL lines (Florida 07_NAM with 504 lines and Tifrunner_NAM with 746 lines plus 118 lines from Tifrunner x GTC20 RIL population). These lines were phenotyped for three years including peanut descriptors of leaf length, leaf width, main stem height, plant height, 100 pod weight, and 100 seed weight along with ratings for foliar diseases such as leaf spots and TSWV; and genotyped using the 58K SNP “Axiom_Arachis” Array. Joint inclusive composite interval mapping and genome-wide association analysis (GWAS) were used in this study to identify quantitative trait loci (QTLs) and significant marker-trait associations termed quantitative trait nucleotides (QTNs). Here we report the results of Florida_NAM. A total of 7,672 polymorphic SNPs were identified, and 2,716 SNPs with proper segregation were used for genetic map construction with 2,668 loci spanning 2,393 cM. A total of 162 QTLs were identified through linkage analysis, including 38 for leaf spot resistance (20.1-44.6% PVE), 16 for TSWV resistance (18.8-43.4% PVE), and 108 for the six descriptor traits (16.8-46.6% PVE). Further, 170 QTNs were identified through GWAS using a random effects model, including 92 QTNs for leaf spots resistance (p-value 5-58.6) and 72 QTNs for descriptor traits (p-value 5.2-12.4). Identification of candidate genes for these QTLs/QTNs is still in progress. These results will provide extensive genetic information to dissect the genetic architecture of these traits for the improvement of peanut yield and disease resistance.