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Identification of Quantitative Trait Nucleotides and Development of Diagnostic Markers for Nine Fatty Acids in the Peanut

Wang, Juan ; Chen, Haoning ; Li, Yuan LU ; Shi, Dachuan ; Wang, Wenjiao ; Yan, Caixia ; Yuan, Mei ; Sun, Quanxi ; Chen, Jing and Mou, Yifei , et al. (2024) In Plants 13(1).
Abstract

The cultivated peanut (Arachis hypogaea L.) is an important oilseed crop worldwide, and fatty acid composition is a major determinant of peanut oil quality. In the present study, we conducted a genome-wide association study (GWAS) for nine fatty acid traits using the whole genome sequences of 160 representative Chinese peanut landraces and identified 6-1195 significant SNPs for different fatty acid contents. Particularly for oleic acid and linoleic acid, two peak SNP clusters on Arahy.09 and Arahy.19 were found to contain the majority of the significant SNPs associated with these two fatty acids. Additionally, a significant proportion of the candidate genes identified on Arahy.09 overlap with those identified in early studies, among... (More)

The cultivated peanut (Arachis hypogaea L.) is an important oilseed crop worldwide, and fatty acid composition is a major determinant of peanut oil quality. In the present study, we conducted a genome-wide association study (GWAS) for nine fatty acid traits using the whole genome sequences of 160 representative Chinese peanut landraces and identified 6-1195 significant SNPs for different fatty acid contents. Particularly for oleic acid and linoleic acid, two peak SNP clusters on Arahy.09 and Arahy.19 were found to contain the majority of the significant SNPs associated with these two fatty acids. Additionally, a significant proportion of the candidate genes identified on Arahy.09 overlap with those identified in early studies, among which three candidate genes are of special interest. One possesses a significant missense SNP and encodes a known candidate gene FAD2A. The second gene is the gene closest to the most significant SNP for linoleic acid. It codes for an MYB protein that has been demonstrated to impact fatty acid biosynthesis in Arabidopsis. The third gene harbors a missense SNP and encodes a JmjC domain-containing protein. The significant phenotypic difference in the oleic acid/linoleic acid between the genotypes at the first and third candidate genes was further confirmed with PARMS analysis. In addition, we have also identified different candidate genes (i.e., Arahy.ZV39IJ, Arahy.F9E3EA, Arahy.X9ZZC1, and Arahy.Z0ELT9) for the remaining fatty acids. Our findings can help us gain a better understanding of the genetic foundation of peanut fatty acid contents and may hold great potential for enhancing peanut quality in the future.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
fatty acids, GC-MS, GWAS, PARMS, peanut oil
in
Plants
volume
13
issue
1
article number
16
publisher
MDPI AG
external identifiers
  • scopus:85182182828
  • pmid:38202325
ISSN
2223-7747
DOI
10.3390/plants13010016
language
English
LU publication?
yes
id
9b76b6f3-094c-41c7-a09f-8d504f5b408e
date added to LUP
2024-02-16 11:49:39
date last changed
2024-06-12 10:44:17
@article{9b76b6f3-094c-41c7-a09f-8d504f5b408e,
  abstract     = {{<p>The cultivated peanut (Arachis hypogaea L.) is an important oilseed crop worldwide, and fatty acid composition is a major determinant of peanut oil quality. In the present study, we conducted a genome-wide association study (GWAS) for nine fatty acid traits using the whole genome sequences of 160 representative Chinese peanut landraces and identified 6-1195 significant SNPs for different fatty acid contents. Particularly for oleic acid and linoleic acid, two peak SNP clusters on Arahy.09 and Arahy.19 were found to contain the majority of the significant SNPs associated with these two fatty acids. Additionally, a significant proportion of the candidate genes identified on Arahy.09 overlap with those identified in early studies, among which three candidate genes are of special interest. One possesses a significant missense SNP and encodes a known candidate gene FAD2A. The second gene is the gene closest to the most significant SNP for linoleic acid. It codes for an MYB protein that has been demonstrated to impact fatty acid biosynthesis in Arabidopsis. The third gene harbors a missense SNP and encodes a JmjC domain-containing protein. The significant phenotypic difference in the oleic acid/linoleic acid between the genotypes at the first and third candidate genes was further confirmed with PARMS analysis. In addition, we have also identified different candidate genes (i.e., Arahy.ZV39IJ, Arahy.F9E3EA, Arahy.X9ZZC1, and Arahy.Z0ELT9) for the remaining fatty acids. Our findings can help us gain a better understanding of the genetic foundation of peanut fatty acid contents and may hold great potential for enhancing peanut quality in the future.</p>}},
  author       = {{Wang, Juan and Chen, Haoning and Li, Yuan and Shi, Dachuan and Wang, Wenjiao and Yan, Caixia and Yuan, Mei and Sun, Quanxi and Chen, Jing and Mou, Yifei and Qu, Chunjuan and Shan, Shihua}},
  issn         = {{2223-7747}},
  keywords     = {{fatty acids; GC-MS; GWAS; PARMS; peanut oil}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{MDPI AG}},
  series       = {{Plants}},
  title        = {{Identification of Quantitative Trait Nucleotides and Development of Diagnostic Markers for Nine Fatty Acids in the Peanut}},
  url          = {{http://dx.doi.org/10.3390/plants13010016}},
  doi          = {{10.3390/plants13010016}},
  volume       = {{13}},
  year         = {{2024}},
}