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Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data

Rice bean (Vigna umbellata (Thunb.) Ohwi & Ohashi) is a warm season annual legume mainly grown in East Asia. Only scarce genomic resources are currently available for this legume crop species and no simple sequence repeat (SSR) markers have been specifically developed for rice bean yet. In this...

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Autores principales: Chen, Honglin, Chen, Xin, Tian, Jing, Yang, Yong, Liu, Zhenxing, Hao, Xiyu, Wang, Lixia, Wang, Suhua, Liang, Jie, Zhang, Liya, Yin, Fengxiang, Cheng, Xuzhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780709/
https://www.ncbi.nlm.nih.gov/pubmed/26950544
http://dx.doi.org/10.1371/journal.pone.0151040
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author Chen, Honglin
Chen, Xin
Tian, Jing
Yang, Yong
Liu, Zhenxing
Hao, Xiyu
Wang, Lixia
Wang, Suhua
Liang, Jie
Zhang, Liya
Yin, Fengxiang
Cheng, Xuzhen
author_facet Chen, Honglin
Chen, Xin
Tian, Jing
Yang, Yong
Liu, Zhenxing
Hao, Xiyu
Wang, Lixia
Wang, Suhua
Liang, Jie
Zhang, Liya
Yin, Fengxiang
Cheng, Xuzhen
author_sort Chen, Honglin
collection PubMed
description Rice bean (Vigna umbellata (Thunb.) Ohwi & Ohashi) is a warm season annual legume mainly grown in East Asia. Only scarce genomic resources are currently available for this legume crop species and no simple sequence repeat (SSR) markers have been specifically developed for rice bean yet. In this study, approximately 26 million high quality cDNA sequence reads were obtained from rice bean using Illumina paired-end sequencing technology and assembled into 71,929 unigenes with an average length of 986 bp. Of these unigenes, 38,840 (33.2%) showed significant similarity to proteins in the NCBI non-redundant protein and nucleotide sequence databases. Furthermore, 30,170 (76.3%) could be classified into gene ontology categories, 25,451 (64.4%) into Swiss-Prot categories and 21,982 (55.6%) into KOG database categories (E-value < 1.0E-5). A total of 9,301 (23.5%) were mapped onto 118 pathways using the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway database. A total of 3,011 genic SSRs were identified as potential molecular markers. AG/CT (30.3%), AAG/CTT (8.1%) and AGAA/TTCT (20.0%) are the three main repeat motifs. A total of 300 SSR loci were randomly selected for validation by using PCR amplification. Of these loci, 23 primer pairs were polymorphic among 32 rice bean accessions. A UPGMA dendrogram revealed three major clusters among 32 rice bean accessions. The large number of SSR-containing sequences and genic SSRs in this study will be valuable for the construction of high-resolution genetic linkage maps, association or comparative mapping and genetic analyses of various Vigna species.
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spelling pubmed-47807092016-03-23 Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data Chen, Honglin Chen, Xin Tian, Jing Yang, Yong Liu, Zhenxing Hao, Xiyu Wang, Lixia Wang, Suhua Liang, Jie Zhang, Liya Yin, Fengxiang Cheng, Xuzhen PLoS One Research Article Rice bean (Vigna umbellata (Thunb.) Ohwi & Ohashi) is a warm season annual legume mainly grown in East Asia. Only scarce genomic resources are currently available for this legume crop species and no simple sequence repeat (SSR) markers have been specifically developed for rice bean yet. In this study, approximately 26 million high quality cDNA sequence reads were obtained from rice bean using Illumina paired-end sequencing technology and assembled into 71,929 unigenes with an average length of 986 bp. Of these unigenes, 38,840 (33.2%) showed significant similarity to proteins in the NCBI non-redundant protein and nucleotide sequence databases. Furthermore, 30,170 (76.3%) could be classified into gene ontology categories, 25,451 (64.4%) into Swiss-Prot categories and 21,982 (55.6%) into KOG database categories (E-value < 1.0E-5). A total of 9,301 (23.5%) were mapped onto 118 pathways using the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway database. A total of 3,011 genic SSRs were identified as potential molecular markers. AG/CT (30.3%), AAG/CTT (8.1%) and AGAA/TTCT (20.0%) are the three main repeat motifs. A total of 300 SSR loci were randomly selected for validation by using PCR amplification. Of these loci, 23 primer pairs were polymorphic among 32 rice bean accessions. A UPGMA dendrogram revealed three major clusters among 32 rice bean accessions. The large number of SSR-containing sequences and genic SSRs in this study will be valuable for the construction of high-resolution genetic linkage maps, association or comparative mapping and genetic analyses of various Vigna species. Public Library of Science 2016-03-07 /pmc/articles/PMC4780709/ /pubmed/26950544 http://dx.doi.org/10.1371/journal.pone.0151040 Text en © 2016 Chen et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chen, Honglin
Chen, Xin
Tian, Jing
Yang, Yong
Liu, Zhenxing
Hao, Xiyu
Wang, Lixia
Wang, Suhua
Liang, Jie
Zhang, Liya
Yin, Fengxiang
Cheng, Xuzhen
Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title_full Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title_fullStr Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title_full_unstemmed Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title_short Development of Gene-Based SSR Markers in Rice Bean (Vigna umbellata L.) Based on Transcriptome Data
title_sort development of gene-based ssr markers in rice bean (vigna umbellata l.) based on transcriptome data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4780709/
https://www.ncbi.nlm.nih.gov/pubmed/26950544
http://dx.doi.org/10.1371/journal.pone.0151040
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