eprintid: 11560
rev_number: 11
eprint_status: archive
userid: 3170
dir: disk0/00/01/15/60
datestamp: 2020-08-21 07:06:05
lastmod: 2020-08-21 07:07:09
status_changed: 2020-08-21 07:06:05
type: article
metadata_visibility: show
creators_name: Liu, N
creators_name: Huang, L
creators_name: Chen, W
creators_name: Wu, B
creators_name: Pandey, M K
creators_name: Luo, H
creators_name: Zhou, X
creators_name: Guo, J
creators_name: Chen, H
creators_name: Huai, D
creators_name: Chen, Y
creators_name: Lei, Y
creators_name: Liao, B
creators_name: Ren, X
creators_name: Varshney, R K
creators_name: Jiang, H
icrisatcreators_name: Pandey, M K
icrisatcreators_name: Varshney, R K
affiliation: Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences, Wuhan
affiliation: ICRISAT (Patancheru)
country: China
country: India
title: Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping
ispublished: pub
subjects: s1.3
subjects: s2.12
subjects: s2.13
divisions: CRPS3
full_text_status: public
keywords: Peanut, Oil content, Association analysis, Geographic region
abstract: Background: Peanut is one of the primary sources for vegetable oil worldwide, and enhancing oil content is the
main objective in several peanut breeding programs of the world. Tightly linked markers are required for faster
development of high oil content peanut varieties through genomics-assisted breeding (GAB), and association
mapping is one of the promising approaches for discovery of such associated markers.
Results: An association mapping panel consisting of 292 peanut varieties extensively distributed in China was
phenotyped for oil content and genotyped with 583 polymorphic SSR markers. These markers amplified 3663 alleles
with an average of 6.28 alleles per locus. The structure, phylogenetic relationship, and principal component analysis
(PCA) indicated two subgroups majorly differentiating based on geographic regions. Genome-wide association analysis
identified 12 associated markers including one (AGGS1014_2) highly stable association controlling up to 9.94%
phenotypic variance explained (PVE) across multiple environments. Interestingly, the frequency of the favorable alleles
for 12 associated markers showed a geographic difference. Two associated markers (AGGS1014_2 and AHGS0798) with
6.90–9.94% PVE were verified to enhance oil content in an independent RIL population and also indicated selection
during the breeding program.
Conclusion: This study provided insights into the genetic basis of oil content in peanut and verified highly associated
two SSR markers to facilitate marker-assisted selection for developing high-oil content breeding peanut varieties.
date: 2020-06
date_type: published
publication: BMC Genetics (TSI)
volume: 21
number: 1
publisher: BMC
pagerange: 1-12
id_number: doi:10.1186/s12863-020-00863-1
refereed: TRUE
issn: 1471-2156
official_url: https://doi.org/10.1186/s12863-020-00863-1
related_url_url: https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=10.1186%2Fs12863-020-00863-1&btnG=
related_url_type: pub
funders: National Natural Science Foundation of China
funders: National Peanut Industry Technology System Construction
funders: National Plant Germplasm Resources Sharing Platform
funders: National Program for Crop Germplasm Protection of China
funders: The Science and technology innovation Project of Chinese Academy of Agricultural Sciences.
citation:   Liu, N and Huang, L and Chen, W and Wu, B and Pandey, M K and Luo, H and Zhou, X and Guo, J and Chen, H and Huai, D and Chen, Y and Lei, Y and Liao, B and Ren, X and Varshney, R K and Jiang, H  (2020) Dissection of the genetic basis of oil content in Chinese peanut cultivars through association mapping.  BMC Genetics (TSI), 21 (1).  pp. 1-12.  ISSN 1471-2156     
document_url: http://oar.icrisat.org/11560/1/s12863-020-00863-1.pdf