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Molecular marker development and genetic diversity exploration in Medicago polymorpha

Medicago polymorpha L. (bur clover), an invasive plant species of the genus Medicago, has been traditionally used in China as an edible vegetable crop because of its high nutritive value. However, few molecular markers for M. polymorpha have been identified. Using the recently published high-quality...

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Autores principales: Ren, Hailong, Wei, Zhenwu, Zhou, Bo, Chen, Xiang, Gao, Qiang, Zhang, Zhibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851046/
https://www.ncbi.nlm.nih.gov/pubmed/36684677
http://dx.doi.org/10.7717/peerj.14698
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author Ren, Hailong
Wei, Zhenwu
Zhou, Bo
Chen, Xiang
Gao, Qiang
Zhang, Zhibin
author_facet Ren, Hailong
Wei, Zhenwu
Zhou, Bo
Chen, Xiang
Gao, Qiang
Zhang, Zhibin
author_sort Ren, Hailong
collection PubMed
description Medicago polymorpha L. (bur clover), an invasive plant species of the genus Medicago, has been traditionally used in China as an edible vegetable crop because of its high nutritive value. However, few molecular markers for M. polymorpha have been identified. Using the recently published high-quality reference genome of M. polymorpha, we performed a specific-locus amplified fragment sequencing (SLAF-seq) analysis of 10 M. polymorpha accessions to identify molecular markers and explore genetic diversity. A total of 52,237 high-quality single nucleotide polymorphisms (SNPs) were developed. These SNPs were mostly distributed on pseudochromosome 3, least distributed on pseudochromosome 7, and relatively evenly distributed on five other pseudochromosomes of M. polymorpha. Phenotypic analysis showed that there was a great difference in phenotypic traits among different M. polymorpha accessions. Moreover, clustering all M. polymorpha accessions based on their phenotypic traits revealed three groups. Both phylogenetic analysis and principal component analysis (PCA) of all M. polymorpha accessions based on SNP markers consistently indicated that all M. polymorpha accessions could be divided into three distinct groups (I, II, and III). Subsequent genetic diversity analysis for the 10 M. polymorpha accessions validated the effectiveness of the M. polymorpha germplasm molecular markers in China. Additionally, SSR mining analysis was also performed to identify polymorphic SSR motifs, which could provide valuable candidate markers for the further breeding of M. polymorpha. Since M. polymorpha genetics have not been actively studied, the molecular markers generated from our research will be useful for further research on M. polymorpha resource utilization and marker-assisted breeding.
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spelling pubmed-98510462023-01-20 Molecular marker development and genetic diversity exploration in Medicago polymorpha Ren, Hailong Wei, Zhenwu Zhou, Bo Chen, Xiang Gao, Qiang Zhang, Zhibin PeerJ Bioinformatics Medicago polymorpha L. (bur clover), an invasive plant species of the genus Medicago, has been traditionally used in China as an edible vegetable crop because of its high nutritive value. However, few molecular markers for M. polymorpha have been identified. Using the recently published high-quality reference genome of M. polymorpha, we performed a specific-locus amplified fragment sequencing (SLAF-seq) analysis of 10 M. polymorpha accessions to identify molecular markers and explore genetic diversity. A total of 52,237 high-quality single nucleotide polymorphisms (SNPs) were developed. These SNPs were mostly distributed on pseudochromosome 3, least distributed on pseudochromosome 7, and relatively evenly distributed on five other pseudochromosomes of M. polymorpha. Phenotypic analysis showed that there was a great difference in phenotypic traits among different M. polymorpha accessions. Moreover, clustering all M. polymorpha accessions based on their phenotypic traits revealed three groups. Both phylogenetic analysis and principal component analysis (PCA) of all M. polymorpha accessions based on SNP markers consistently indicated that all M. polymorpha accessions could be divided into three distinct groups (I, II, and III). Subsequent genetic diversity analysis for the 10 M. polymorpha accessions validated the effectiveness of the M. polymorpha germplasm molecular markers in China. Additionally, SSR mining analysis was also performed to identify polymorphic SSR motifs, which could provide valuable candidate markers for the further breeding of M. polymorpha. Since M. polymorpha genetics have not been actively studied, the molecular markers generated from our research will be useful for further research on M. polymorpha resource utilization and marker-assisted breeding. PeerJ Inc. 2023-01-16 /pmc/articles/PMC9851046/ /pubmed/36684677 http://dx.doi.org/10.7717/peerj.14698 Text en © 2023 Ren 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 Bioinformatics
Ren, Hailong
Wei, Zhenwu
Zhou, Bo
Chen, Xiang
Gao, Qiang
Zhang, Zhibin
Molecular marker development and genetic diversity exploration in Medicago polymorpha
title Molecular marker development and genetic diversity exploration in Medicago polymorpha
title_full Molecular marker development and genetic diversity exploration in Medicago polymorpha
title_fullStr Molecular marker development and genetic diversity exploration in Medicago polymorpha
title_full_unstemmed Molecular marker development and genetic diversity exploration in Medicago polymorpha
title_short Molecular marker development and genetic diversity exploration in Medicago polymorpha
title_sort molecular marker development and genetic diversity exploration in medicago polymorpha
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851046/
https://www.ncbi.nlm.nih.gov/pubmed/36684677
http://dx.doi.org/10.7717/peerj.14698
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