|PANDEY, MANISH - University Of Georgia|
|FENG, SUPING - University Of Georgia|
|CULBREATH, ALBERT - University Of Georgia|
|Holbrook, Carl - Corley|
|ZHANG, X.Y - Henan Agricultural University|
|WU, Y.T. - Qingdao University|
|VARSHNEY, RAJEEV - Qingdao University|
Submitted to: International Conference on Legume Genomics and Genetics
Publication Type: Abstract Only
Publication Acceptance Date: 8/25/2012
Publication Date: 10/1/2012
Citation: Guo, B., Pandey, M.K., Feng, S., Culbreath, A., Wang, M.L., Barkley, N.L., Holbrook Jr, C.C., Zhang, X., Wu, Y., Varshney, R.K. 2012. Construction and use of saturated genetic map for identification of QTLs associated with disease resistance, oil quality, morphological descriptors, and yield components in cultivated peanut (Arachis hypogaea L.) [abstract]. International Conference on Legume Genomics and Genetics.
Technical Abstract: Peanut production and consumer acceptability are adversely affected by several biotic/abiotic stresses and poor oil quality. In order to deal with these concerns, the developed genetic map from one peanut population derived from SunOleic 97R × NC94022 by Qin et al. (2012) using 190 subset with 172 markers was further advanced with additional 77 polymorphic marker loci on all 353 lines. The saturated genetic map possesses 249 loci distributed on 23 linkage groups with total map distance of 3,433.5 cM. Multiple phenotyping data of all lines on several economically important traits was used for quantitative trait loci (QTL) analysis, resulting in identification of a total of 155 QTLs with phenotypic variance (PVE) ranged from 1.48 to 65.2% and the log-of-odds (LOD) ranged from 2.51 to 83.68. One major QTL (16.7% PVE) for Tomato spotted wilt virus (TSWV) resistance, three major QTLs for late leaf spot (12.42 -20.59%), two major QTLs for growth habit (11.90 - 14.05% PVE) while one major QTL each for leaf color (10.43% PVE), pod shape (11.55% PVE) and pod reticulation (14.01% PVE), and four QTLs for seed color (10.12-18.45% PVE) were identified. QTL analysis also revealed that FAD2B gene contributes up to 74.03% PVE while FAD2A gene could contribute only 11.13% PVE for high oleic/linoleic (O/L) ratio. Interestingly, the A- and B-genome mutations of FAD2 were also found to contribute to other fatty acids, such as palmitic acid (PVE 21.26 and 27.77%) and gadoleic acid (PVE 13.73 and 10.32%), respectively. The markers linked to major QTLs could be utilized for peanut genetic improvement through molecular marker-assisted selection in breeding.