Skip to main content
ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #305656
Title: Identification of quantitative trait loci(QTL) controlling important fatty acids in peanut (Arachis hypogaea L.)

Author
item PANDEY, M - University Of Georgia
item WANG, H - University Of Georgia
item QIAO, L - University Of Georgia
item KHERA, P - University Of Georgia
item CULBREATH, A - University Of Georgia
item Wang, Ming
item Anglin, Noelle
item WANG, J - University Of Florida
item Holbrook, Carl - Corley
item VARSHNEY, R - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item Guo, Baozhu

Submitted to: American Peanut Research and Education Society Abstracts
Publication Type: Abstract Only
Publication Acceptance Date: 6/10/2014
Publication Date: 6/20/2014
Citation: Pandey, M., Wang, H., Qiao, L., Khera, P., Culbreath, A., Wang, M.L., Barkley, N.L., Wang, J., Holbrook Jr, C.C., Varshney, R., Guo, B. 2014. Identification of quantitative trait loci(QTL) controlling important fatty acids in peanut (Arachis hypogaea L.) [abstract]. American Peanut Research and Education Society.

Interpretive Summary:

Technical Abstract: Fatty acids play important role in controlling oil quality of peanut. In addition to the major fatty acids, oleic acid (C18:1) and linoleic acid (C18:2) accounting for about 80%, there are several minor fatty acids accounting for about 20% in peanut oil, such as palmitic acid (PA, C16:0), stearic (SA, C18:0), arachidic (AA, C20:0), gadolic (GA, C20:1), behenic (BA, C22:0), and lignoseric (LA, C24:0) acids. No effort has been made so far to study genetic and genomic control of important minor fatty acids. In this study, two improved genetic maps (SunOleic 97R × NC94022 and Tifrunner × GT-C20) with 206 and 377 marker loci and two season phenotyping data were used for identification QTLs for PA, SA, AA, GA, BA and LA. QTL analysis detected a total of 39 and 98 main-effect QTLs (M-QTLs) explaining up to 22.04% and 40.57% phenotypic variance (PV) using QTL Cartographer for S-population (SunOleic 97R × NC94022) and T-population (Tifrunner × GT-C20), respectively. Similarly, QTLNetwork identified six M-QTLs for S-population and 21 M-QTLs for T-population with PV upto 12.44% and 28.32%, respectively. Analysis with QTLNetwork detected nine epistatic QTLs (E-QTLs) in S-population and 18 E-QTLs in T-population with PV upto 5.53% and 8.12%, respectively. Mutant allele FAD2A and FAD2B contributed upto 4.25% and 22.34% PV in S-population while FAD2A contributed upto 28.93% PV in T-population for the third most important fatty acid, palmitic acid. Therefore, it is clear that FAD2 genes not only control oleic and linoleic acids but also control palmitic acid with very less control over other fatty acids (SA, AA, GA, BA and LA). In summary, present study reports 154 M-QTLs and 27 E-QTLs for different fatty acids for the first time in peanut and the information generated will be very useful for marker-assisted accelerated improvement of peanut oil quality.