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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #323309
Title: Mapping quantitative trait loci of resistance to Tomato spotted wilt virus and leaf spots in a recombinant inbred line population of peanut (Arachis hypogae L.) from SunOleic 97R and NC94022

Author
item KHERA, PAWAN - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item WANG, HUI - University Of Georgia
item FENG, SUPING - Qiongzhou University
item QIAO, LIXIAN - Qingdao Agricultural University
item CULBREATH, ALBERT - University Of Georgia
item KALE, SANDIP - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item WANG, JIANPING - University Of Florida
item Holbrook, Carl - Corley
item ZHUANG, WEIJIAN - Fujian Agricultural & Forestry University
item VARSHNEY, RAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item Guo, Baozhu

Submitted to: PLOS ONE
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 7/8/2016
Publication Date: 7/18/2016
Citation: Khera, P., Pandey, M.K., Wang, H., Feng, S., Qiao, L., Culbreath, A.K., Kale, S., Wang, J., Holbrook Jr, C.C., Zhuang, W., Varshney, R.K., Guo, B. 2016. Mapping quantitative trait loci of resistance to Tomato spotted wilt virus and leaf spots in a recombinant inbred line population of peanut (Arachis hypogae L.) from SunOleic 97R and NC94022. PLoS One. 11(7):e0158452. doi:10.1371/journal.pone.0158452.

Interpretive Summary: Peanut is susceptible to many biotic and abiotic stresses affecting peanut production worldwide. In order to improve the yield, peanut breeding is in need of new technology in order to continue improvement in high yielding cultivars with stress tolerance. The application of new biotechnology such as molecular marker-assisted selection (MAS) in breeding program have been shown to increase the genetic improvement significantly when compared to that of conventional breeding. The big obstacles that hinder the application of molecular marker-assisted breeding technology in peanut are still the very narrow genetic diversity and limited numbers of polymorphic molecular DNA markers. Therefore, the development of a dense genetic map and using the map to identify the genes/markers are still needed. The breeding line NC94022 has high level of resistance and therefore used for development of mapping population for conducting QTL analysis and identification of candidate genomic region(s) controlling resistance to these diseases. An improved genetic linkage map was developed for the S-population derived from (SunOleic 97R × NC94022) with 248 marker loci with marker density of 5.7 cM/locus. The analysis using the improved genetic map and multiple seasons (2009-2013) phenotypic data resulted in the identification of 76 QTLs with phenotypic variance explained (PVE) from 3.47 to 30.15%. Of the 76 QTLs, 13 QTLs were identified for resistance to TSWV, 43 QTLs for early leaf spot (ELS) and 20 for late leaf spot (LLS), which include four, 11, and six major QTLs (PVE larger than 10%), respectively. A total of nine major genomic regions (MGR) were found to have QTLs controlling more than one disease resistance. The identified QTLs and resistance gene-rich MGRs will facilitate further discovery of resistance genes and development of breeding selection markers for these important diseases.

Technical Abstract: Peanut is vulnerable to a range of diseases, such as Tomato spotted wilt virus (TSWV) and leaf spots. The most sustainable and economical solution for managing peanut diseases is development of resistance cultivars. The new breeding line NC94022, high resistance to TSWV and moderate resistance to leaf spots, was used as donor parent in developing recombinant inbred line (RIL) mapping population (SunOleic 97R × NC94022). The development and validation of identified QTLs will assist quick development of new cultivars with enhanced resistance through genomics-assisted breeding. An improved genetic linkage map was developed for the S-population with 248 marker loci with marker density of 5.7 cM/loci. The analysis using the improved genetic map and multi-season (2009-2013) and multi-location phenotypic data resulted in the identification of 76 QTLs with phenotypic variance explained (PVE) from 3.47 to 30.15%. Of the 76 QTLs, 13 QTLs were identified for resistance to TSWV, 43 QTLs for early leaf spot (ELS) and 20 for late leaf spot (LLS), which include four, 11, and six major QTLs (PVE larger than 10%), respectively. A total of nine major genomic regions (MGR) were found to have QTLs controlling more than one disease resistance. The identified QTLs and resistance gene-rich MGRs will facilitate further discovery of resistance genes and development of breeding selection markers for these important diseases.