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First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)

Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed...

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Autores principales: Tan, Chen, Zhang, Haimei, Chen, Haidong, Guan, Miaotian, Zhu, Zhenzhi, Cao, Xueying, Ge, Xianhong, Zhu, Bo, Chen, Daozong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965543/
https://www.ncbi.nlm.nih.gov/pubmed/36840095
http://dx.doi.org/10.3390/plants12040748
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author Tan, Chen
Zhang, Haimei
Chen, Haidong
Guan, Miaotian
Zhu, Zhenzhi
Cao, Xueying
Ge, Xianhong
Zhu, Bo
Chen, Daozong
author_facet Tan, Chen
Zhang, Haimei
Chen, Haidong
Guan, Miaotian
Zhu, Zhenzhi
Cao, Xueying
Ge, Xianhong
Zhu, Bo
Chen, Daozong
author_sort Tan, Chen
collection PubMed
description Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed to support the further elucidation of the biology and genetics of M. incana. In this study, a high-quality genome of M. incana was initially assembled and a set of effective SSR primers was developed at the whole-genome level using genome data. A total of 45,612 loci of SSRs were identified; the di-nucleotide motifs were the most abundant (77.35%). In total, 43,540 primer pairs were designed, of which 300 were randomly selected for PCR validation, and as the success rate for amplification. In addition, 22 polymorphic SSR markers were used to analyze the genetic diversity of 40 stock varieties. Clustering analysis showed that all varieties could be divided into two clusters with a genetic distance of 0.68, which were highly consistent with their flower shape (potted or cut type). Moreover, we have verified that these SSR markers are effective and transferable within the Brassicaceae family. In this study, potential SSR molecular markers were successfully developed for 40 M. incana varieties using whole genome analysis, providing an important genetic tool for theoretical and applied research on M. incana.
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spelling pubmed-99655432023-02-26 First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.) Tan, Chen Zhang, Haimei Chen, Haidong Guan, Miaotian Zhu, Zhenzhi Cao, Xueying Ge, Xianhong Zhu, Bo Chen, Daozong Plants (Basel) Article Stock (Matthiola incana (L.) R. Br.) is a famous annual ornamental plant with important ornamental and economic value. The lack of DNA molecular markers has limited genetic analysis, genome evolution, and marker-assisted selective breeding studies of M. incana. Therefore, more DNA markers are needed to support the further elucidation of the biology and genetics of M. incana. In this study, a high-quality genome of M. incana was initially assembled and a set of effective SSR primers was developed at the whole-genome level using genome data. A total of 45,612 loci of SSRs were identified; the di-nucleotide motifs were the most abundant (77.35%). In total, 43,540 primer pairs were designed, of which 300 were randomly selected for PCR validation, and as the success rate for amplification. In addition, 22 polymorphic SSR markers were used to analyze the genetic diversity of 40 stock varieties. Clustering analysis showed that all varieties could be divided into two clusters with a genetic distance of 0.68, which were highly consistent with their flower shape (potted or cut type). Moreover, we have verified that these SSR markers are effective and transferable within the Brassicaceae family. In this study, potential SSR molecular markers were successfully developed for 40 M. incana varieties using whole genome analysis, providing an important genetic tool for theoretical and applied research on M. incana. MDPI 2023-02-07 /pmc/articles/PMC9965543/ /pubmed/36840095 http://dx.doi.org/10.3390/plants12040748 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tan, Chen
Zhang, Haimei
Chen, Haidong
Guan, Miaotian
Zhu, Zhenzhi
Cao, Xueying
Ge, Xianhong
Zhu, Bo
Chen, Daozong
First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title_full First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title_fullStr First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title_full_unstemmed First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title_short First Report on Development of Genome-Wide Microsatellite Markers for Stock (Matthiola incana L.)
title_sort first report on development of genome-wide microsatellite markers for stock (matthiola incana l.)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965543/
https://www.ncbi.nlm.nih.gov/pubmed/36840095
http://dx.doi.org/10.3390/plants12040748
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