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Construction of a high-density genetic map for faba bean ( Vicia faba L.) and quantitative trait loci mapping of seed-related traits.

Authors :
Zhao N
Xue D
Miao Y
Wang Y
Zhou E
Zhou Y
Yao M
Gu C
Wang K
Li B
Wei L
Wang X
Source :
Frontiers in plant science [Front Plant Sci] 2023 Jun 07; Vol. 14, pp. 1201103. Date of Electronic Publication: 2023 Jun 07 (Print Publication: 2023).
Publication Year :
2023

Abstract

Faba bean ( Vicia faba L.) is a valuable legume crop and data on its seed-related traits is required for yield and quality improvements. However, basic research on faba bean is lagging compared to that of other major crops. In this study, an F <subscript>2</subscript> faba bean population, including 121 plants derived from the cross WY7×TCX7, was genotyped using the Faba_bean_130 K targeted next-generation sequencing genotyping platform. The data were used to construct the first ultra-dense faba bean genetic map consisting of 12,023 single nucleotide polymorphisms markers covering 1,182.65 cM with an average distance of 0.098 cM. The map consisted of 6 linkage groups, which is consistent with the 6 faba bean chromosome pairs. A total of 65 quantitative trait loci (QTL) for seed-related traits were identified (3 for 100-seed weight, 28 for seed shape, 12 for seed coat color, and 22 for nutritional quality). Furthermore, 333 candidate genes that are likely to participate in the regulation of seed-related traits were also identified. Our research findings can provide a basis for future faba bean marker-assisted breeding and be helpful to further modify and improve the reference genome.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2023 Zhao, Xue, Miao, Wang, Zhou, Zhou, Yao, Gu, Wang, Li, Wei and Wang.)

Details

Language :
English
ISSN :
1664-462X
Volume :
14
Database :
MEDLINE
Journal :
Frontiers in plant science
Publication Type :
Academic Journal
Accession number :
37351218
Full Text :
https://doi.org/10.3389/fpls.2023.1201103