QTL mapping for wheat ferulic acid concentration using 50 K SNP chip in a recombinant inbred line population of Zhongmai 578/Jimai 22

Abstract Background and Objectives Ferulic acid is a prominent bioactive compound found in wheat grains, known for its beneficial health effects, prompting significant interest from breeders and producers. The aim of this study was to identify new quantitative trait loci (QTL) to aid in the development of wheat varieties with increased ferulic acid concentration (FAC). Findings In this study, a recombinant inbred line population, resulting from a cross between Zhongmai 578 and Jimai 22, was evaluated in five different environments. Genotyping was performed using the wheat 50 K single‐nucleotide polymorphism (SNP) array. Three stable QTL, named QFAC.caas‐2D , QFAC.caas‐3B , and QFAC.caas‐4D , were identified. These QTL explained 4.24%–7.09%, 3.7%–4.57%, and 3.20%–5.06% of the phenotypic variances, respectively. Furthermore, three SNPs closely associated with above QTL were successfully converted into kompetitive allele‐specific polymerase chain reaction (KASP) markers. Conclusions FAC is a complex trait governed by multiple minor‐effect QTL. The successful development of KASP markers opens up avenues for marker‐assisted selection in breeding programs. Significance and Novelty This study establishes a genetic foundation for understanding the genetic basis of FAC in wheat. The identified QTL and developed KASP markers offer valuable insights for quality breeding initiatives and the production of functional wheat‐based foods.

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Publication Details

Journal
Cereal Chemistry
Published
2024-09-16
DOI
https://doi.org/10.1002/cche.10835
Citations
2
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
1.10
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article

QTL mapping for wheat ferulic acid concentration using 50 K SNP chip in a recombinant inbred line population of Zhongmai 578/Jimai 22

Wenfei Tian, Xue Gong, Jindong Liu, Rabiu Sani Shawai et al.
2 citations
Cereal Chemistry
Genetic Mapping and Diversity in Plants and Animals
1.10
article

QTL mapping for wheat ferulic acid concentration using 50 K SNP chip in a recombinant inbred line population of Zhongmai 578/Jimai 22

Wenfei Tian, Xue Gong, Jindong Liu, Rabiu Sani Shawai, Siyang Liu, Zhonghu He, Yong Zhang, Shuanghe Cao
article en
2 citations

Abstract

Abstract Background and Objectives Ferulic acid is a prominent bioactive compound found in wheat grains, known for its beneficial health effects, prompting significant interest from breeders and producers. The aim of this study was to identify new quantitative trait loci (QTL) to aid in the development of wheat varieties with increased ferulic acid concentration (FAC). Findings In this study, a recombinant inbred line population, resulting from a cross between Zhongmai 578 and Jimai 22, was evaluated in five different environments. Genotyping was performed using the wheat 50 K single‐nucleotide polymorphism (SNP) array. Three stable QTL, named QFAC.caas‐2D , QFAC.caas‐3B , and QFAC.caas‐4D , were identified. These QTL explained 4.24%–7.09%, 3.7%–4.57%, and 3.20%–5.06% of the phenotypic variances, respectively. Furthermore, three SNPs closely associated with above QTL were successfully converted into kompetitive allele‐specific polymerase chain reaction (KASP) markers. Conclusions FAC is a complex trait governed by multiple minor‐effect QTL. The successful development of KASP markers opens up avenues for marker‐assisted selection in breeding programs. Significance and Novelty This study establishes a genetic foundation for understanding the genetic basis of FAC in wheat. The identified QTL and developed KASP markers offer valuable insights for quality breeding initiatives and the production of functional wheat‐based foods.

Cereal ChemistryVol. 101(6)
Henan Academy of Agricultural Sciences (CN), Chinese Academy of Agricultural Sciences (CN), Kano State University of Technology (NG), Institute of Crop Sciences (CN)
Openalex Percentile: Top 19%
Genetic Mapping and Diversity in Plants and Animals
1.10
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