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ARS Home » Southeast Area » Tifton, Georgia » Crop Protection and Management Research » Research » Publications at this Location » Publication #341194
Title: Molecular mapping of oil content and fatty acids using dense genetic maps in groundnut (Arachis hypogaea L.)

Author
item SHASIDHAR, YADURU - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item VISHWAKARMA, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item PANDEY, MANISH - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item JANILA, PASUPULETI - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item VARIATH, MURALI - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item MANOHAR, SURENDRA - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India
item Guo, Baozhu
item VARSHNEY, RAJEEV - International Crops Research Institute For Semi-Arid Tropics (ICRISAT) - India

Submitted to: Frontiers in Plant Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 5/22/2017
Publication Date: 5/22/2017
Citation: Shasidhar, Y., Vishwakarma, M.K., Pandey, M.K., Janila, P., Variath, M.T., Manohar, S., Guo, B., Varshney, R.K. 2017. Molecular mapping of oil content and fatty acids using dense genetic maps in groundnut (Arachis hypogaea L.). Frontiers in Plant Science. 8:794. https://doi.org/10.3389/fpls.2017.00794.
DOI: https://doi.org/10.3389/fpls.2017.00794

Interpretive Summary: Peanut is one of the important oilseed crops. Enhancing seed oil content with desirable fatty acid composition is one objective of peanut breeding programs. Genomics-assisted breeding technology will combine multiple traits faster, but requires the associated markers for the interest traits. therefore, we have developed two different F2 mapping populations, one for oil content (OC-population, ICGV 07368 × ICGV 06420) and another for fatty acid composition (FA-population, ICGV 06420 × SunOleic 95R). These two populations were phenotyped for the interest traits and genotyped using Diversity Array Technology (DArT) and DArTseq genotyping technology. Two genetic maps were developed with 854 (OC-population) and 1,435 (FA-population) marker loci and covering a total map distance of 3,526 and 1,869 cM, respectively. Eight QTLs for oil content including two major QTLs, qOc-X and qOc-II. For seven different fatty acids, a total of 21 QTLs were identified and 20 were major QTLs. Interestingly, two mutant alleles, ahFAD2B and ahFAD2A, had 18.44% and 10.78% effects for palmitic acid, in addition to oleic (33.8% and 17.4%) and linoleic (41.0% and 19.5%) acids. Four QTL clusters for fatty acids were identified on three LGs. The QTLs identified in this study could be further used for candidate gene discovery and development of valid markers for breeding for developing peanut varieties with high oil content and desirable oil quality.

Technical Abstract: Enhancing seed oil content with desirable fatty acid composition is one of the most important objectives of groundnut breeding programs globally. Genomics-assisted breeding facilitates combining multiple traits faster, however, requires linked markers. In this context, we have developed two different F2 mapping populations, one for oil content (OC-population, ICGV 07368 × ICGV 06420) and another for fatty acid composition (FA-population, ICGV 06420 × SunOleic 95R). These two populations were phenotyped for interest traits and genotyped using Diversity Array Technology (DArT) and DArTseq genotyping platforms. Two genetic maps were developed with 854 (OC-population) and 1,435 (FA-population) marker loci and convering a total map distance of 3,526 and 1,869 cM, respectively. Quantitative trait locus (QTL) analysis using genotyping and phenotyping data identified eight QTLs for oil content including two major QTLs, qOc-X and qOc-II, with 22.11 and 10.37% phenotypic variance explained (PVE), respectively. For seven different fatty acids, a total of 21 QTLs with range 7.6% to 78.6% PVE were identified and 20 of these QTLs were of major effect. Two mutant alleles, ahFAD2B and ahFAD2A, also had 18.44% and 10.78% PVE for palmitic acid, in addition to oleic (33.8% and 17.4% PVE) and linoleic (41.0% and 19.5% PVE) acids. Furthermore, four QTL clusters with more than three QTLs for fatty acids were identified on the three LGs. The QTLs identified in this study could be further dissected for candidate gene discovery and development of diagnostic markers for breeding for developing groundnut varieties with high oil content and desirable oil quality.