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RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China

BACKGROUND: Faba bean (Vicia faba L) is one of the most important legumes in the world. However, there is relatively little genomic information available for this species owing to its large genome. The lack of data impedes the discovery of molecular markers and subsequent genetic research in faba be...

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Autores principales: Hou, Wanwei, Zhang, Xiaojuan, Liu, Yuling, Liu, Yujiao, Feng, Bai li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838209/
https://www.ncbi.nlm.nih.gov/pubmed/36643650
http://dx.doi.org/10.7717/peerj.14259
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author Hou, Wanwei
Zhang, Xiaojuan
Liu, Yuling
Liu, Yujiao
Feng, Bai li
author_facet Hou, Wanwei
Zhang, Xiaojuan
Liu, Yuling
Liu, Yujiao
Feng, Bai li
author_sort Hou, Wanwei
collection PubMed
description BACKGROUND: Faba bean (Vicia faba L) is one of the most important legumes in the world. However, there is relatively little genomic information available for this species owing to its large genome. The lack of data impedes the discovery of molecular markers and subsequent genetic research in faba bean. The objective of this study was to analyze the faba bean transcriptome, and to develop simple sequence repeat (SSR) markers to determine the genetic diversity of 226 faba bean varieties derived from different regions in China. METHODS: Faba bean varieties with different phenotype were used in transcriptome analysis. The functions of the unigenes were analyzed using various database. SSR markers were developed and the polymorphic markers were selected to conduct genetic diversity analysis. RESULTS: A total of 92.43 Gb of sequencing data was obtained in this study, and 133,487 unigene sequences with a total length of 178,152,541 bp were assembled. A total of 5,200 SSR markers were developed on the basis of RNA-Seq analysis. Then, 200 SSR markers were used to evaluate polymorphisms. In total, 103 (51.5%) SSR markers showed significant and repeatable bands between different faba bean varieties. Clustering analysis revealed that 226 faba bean materials were divided into five groups. Genetic diversity analysis revealed that the relationship between different faba beans in China was related, especially in the same region. These results provided a valuable data resource for annotating genes to different categories and developing SSR markers.
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spelling pubmed-98382092023-01-14 RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China Hou, Wanwei Zhang, Xiaojuan Liu, Yuling Liu, Yujiao Feng, Bai li PeerJ Agricultural Science BACKGROUND: Faba bean (Vicia faba L) is one of the most important legumes in the world. However, there is relatively little genomic information available for this species owing to its large genome. The lack of data impedes the discovery of molecular markers and subsequent genetic research in faba bean. The objective of this study was to analyze the faba bean transcriptome, and to develop simple sequence repeat (SSR) markers to determine the genetic diversity of 226 faba bean varieties derived from different regions in China. METHODS: Faba bean varieties with different phenotype were used in transcriptome analysis. The functions of the unigenes were analyzed using various database. SSR markers were developed and the polymorphic markers were selected to conduct genetic diversity analysis. RESULTS: A total of 92.43 Gb of sequencing data was obtained in this study, and 133,487 unigene sequences with a total length of 178,152,541 bp were assembled. A total of 5,200 SSR markers were developed on the basis of RNA-Seq analysis. Then, 200 SSR markers were used to evaluate polymorphisms. In total, 103 (51.5%) SSR markers showed significant and repeatable bands between different faba bean varieties. Clustering analysis revealed that 226 faba bean materials were divided into five groups. Genetic diversity analysis revealed that the relationship between different faba beans in China was related, especially in the same region. These results provided a valuable data resource for annotating genes to different categories and developing SSR markers. PeerJ Inc. 2023-01-10 /pmc/articles/PMC9838209/ /pubmed/36643650 http://dx.doi.org/10.7717/peerj.14259 Text en ©2023 Hou et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Agricultural Science
Hou, Wanwei
Zhang, Xiaojuan
Liu, Yuling
Liu, Yujiao
Feng, Bai li
RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title_full RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title_fullStr RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title_full_unstemmed RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title_short RNA-Seq and genetic diversity analysis of faba bean (Vicia faba L.) varieties in China
title_sort rna-seq and genetic diversity analysis of faba bean (vicia faba l.) varieties in china
topic Agricultural Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838209/
https://www.ncbi.nlm.nih.gov/pubmed/36643650
http://dx.doi.org/10.7717/peerj.14259
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