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GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits

Peanut flavor is a complex and important trait affected by raw material and processing technology owing to its significant impact on consumer preference. In this research, principal component analysis (PCA) on 33 representative traits associated with flavor revealed that total sugars, sucrose, and t...

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Autores principales: Zhang, Hui, Dean, Lisa, Wang, Ming Li, Dang, Phat, Lamb, Marshall, Chen, Charles
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540862/
https://www.ncbi.nlm.nih.gov/pubmed/37780495
http://dx.doi.org/10.3389/fpls.2023.1204415
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author Zhang, Hui
Dean, Lisa
Wang, Ming Li
Dang, Phat
Lamb, Marshall
Chen, Charles
author_facet Zhang, Hui
Dean, Lisa
Wang, Ming Li
Dang, Phat
Lamb, Marshall
Chen, Charles
author_sort Zhang, Hui
collection PubMed
description Peanut flavor is a complex and important trait affected by raw material and processing technology owing to its significant impact on consumer preference. In this research, principal component analysis (PCA) on 33 representative traits associated with flavor revealed that total sugars, sucrose, and total tocopherols provided more information related to peanut flavor. Genome-wide association studies (GWAS) using 102 U.S. peanut mini-core accessions were performed to study associations between 12,526 single nucleotide polymorphic (SNP) markers and the three traits. A total of 7 and 22 significant quantitative trait loci (QTLs) were identified to be significantly associated with total sugars and sucrose, respectively. Among these QTLs, four and eight candidate genes for the two traits were mined. In addition, two and five stable QTLs were identified for total sugars and sucrose in both years separately. No significant QTLs were detected for total tocopherols. The results from this research provide useful knowledge about the genetic control of peanut flavor, which will aid in clarifying the molecular mechanisms of flavor research in peanuts.
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spelling pubmed-105408622023-09-30 GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits Zhang, Hui Dean, Lisa Wang, Ming Li Dang, Phat Lamb, Marshall Chen, Charles Front Plant Sci Plant Science Peanut flavor is a complex and important trait affected by raw material and processing technology owing to its significant impact on consumer preference. In this research, principal component analysis (PCA) on 33 representative traits associated with flavor revealed that total sugars, sucrose, and total tocopherols provided more information related to peanut flavor. Genome-wide association studies (GWAS) using 102 U.S. peanut mini-core accessions were performed to study associations between 12,526 single nucleotide polymorphic (SNP) markers and the three traits. A total of 7 and 22 significant quantitative trait loci (QTLs) were identified to be significantly associated with total sugars and sucrose, respectively. Among these QTLs, four and eight candidate genes for the two traits were mined. In addition, two and five stable QTLs were identified for total sugars and sucrose in both years separately. No significant QTLs were detected for total tocopherols. The results from this research provide useful knowledge about the genetic control of peanut flavor, which will aid in clarifying the molecular mechanisms of flavor research in peanuts. Frontiers Media S.A. 2023-09-15 /pmc/articles/PMC10540862/ /pubmed/37780495 http://dx.doi.org/10.3389/fpls.2023.1204415 Text en Copyright © 2023 Zhang, Dean, Wang, Dang, Lamb and Chen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Zhang, Hui
Dean, Lisa
Wang, Ming Li
Dang, Phat
Lamb, Marshall
Chen, Charles
GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title_full GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title_fullStr GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title_full_unstemmed GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title_short GWAS with principal component analysis identify QTLs associated with main peanut flavor-related traits
title_sort gwas with principal component analysis identify qtls associated with main peanut flavor-related traits
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10540862/
https://www.ncbi.nlm.nih.gov/pubmed/37780495
http://dx.doi.org/10.3389/fpls.2023.1204415
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