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De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data
Soybean is the most important legume crop in the world. Several diseases in soybean lead to serious yield losses in major soybean-producing countries. Moreover, soybean can be infected by diverse viruses. Recently, we carried out a large-scale screening to identify viruses infecting soybean using av...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Plant Pathology
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624490/ https://www.ncbi.nlm.nih.gov/pubmed/29018311 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0060 |
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author | Jo, Yeonhwa Choi, Hoseong Bae, Miah Kim, Sang-Min Kim, Sun-Lim Lee, Bong Choon Cho, Won Kyong Kim, Kook-Hyung |
author_facet | Jo, Yeonhwa Choi, Hoseong Bae, Miah Kim, Sang-Min Kim, Sun-Lim Lee, Bong Choon Cho, Won Kyong Kim, Kook-Hyung |
author_sort | Jo, Yeonhwa |
collection | PubMed |
description | Soybean is the most important legume crop in the world. Several diseases in soybean lead to serious yield losses in major soybean-producing countries. Moreover, soybean can be infected by diverse viruses. Recently, we carried out a large-scale screening to identify viruses infecting soybean using available soybean transcriptome data. Of the screened transcriptomes, a soybean transcriptome for soybean seed development analysis contains several virus-associated sequences. In this study, we identified five viruses, including soybean mosaic virus (SMV), infecting soybean by de novo transcriptome assembly followed by blast search. We assembled a nearly complete consensus genome sequence of SMV China using transcriptome data. Based on phylogenetic analysis, the consensus genome sequence of SMV China was closely related to SMV isolates from South Korea. We examined single nucleotide variations (SNVs) for SMVs in the soybean seed transcriptome revealing 780 SNVs, which were evenly distributed on the SMV genome. Four SNVs, C-U, U-C, A-G, and G-A, were frequently identified. This result demonstrated the quasispecies variation of the SMV genome. Taken together, this study carried out bioinformatics analyses to identify viruses using soybean transcriptome data. In addition, we demonstrated the application of soybean transcriptome data for virus genome assembly and SNV analysis. |
format | Online Article Text |
id | pubmed-5624490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Korean Society of Plant Pathology |
record_format | MEDLINE/PubMed |
spelling | pubmed-56244902017-10-10 De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data Jo, Yeonhwa Choi, Hoseong Bae, Miah Kim, Sang-Min Kim, Sun-Lim Lee, Bong Choon Cho, Won Kyong Kim, Kook-Hyung Plant Pathol J Research Article Soybean is the most important legume crop in the world. Several diseases in soybean lead to serious yield losses in major soybean-producing countries. Moreover, soybean can be infected by diverse viruses. Recently, we carried out a large-scale screening to identify viruses infecting soybean using available soybean transcriptome data. Of the screened transcriptomes, a soybean transcriptome for soybean seed development analysis contains several virus-associated sequences. In this study, we identified five viruses, including soybean mosaic virus (SMV), infecting soybean by de novo transcriptome assembly followed by blast search. We assembled a nearly complete consensus genome sequence of SMV China using transcriptome data. Based on phylogenetic analysis, the consensus genome sequence of SMV China was closely related to SMV isolates from South Korea. We examined single nucleotide variations (SNVs) for SMVs in the soybean seed transcriptome revealing 780 SNVs, which were evenly distributed on the SMV genome. Four SNVs, C-U, U-C, A-G, and G-A, were frequently identified. This result demonstrated the quasispecies variation of the SMV genome. Taken together, this study carried out bioinformatics analyses to identify viruses using soybean transcriptome data. In addition, we demonstrated the application of soybean transcriptome data for virus genome assembly and SNV analysis. Korean Society of Plant Pathology 2017-10 2017-10-01 /pmc/articles/PMC5624490/ /pubmed/29018311 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0060 Text en © The Korean Society of Plant Pathology This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Jo, Yeonhwa Choi, Hoseong Bae, Miah Kim, Sang-Min Kim, Sun-Lim Lee, Bong Choon Cho, Won Kyong Kim, Kook-Hyung De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title | De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title_full | De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title_fullStr | De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title_full_unstemmed | De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title_short | De novo Genome Assembly and Single Nucleotide Variations for Soybean Mosaic Virus Using Soybean Seed Transcriptome Data |
title_sort | de novo genome assembly and single nucleotide variations for soybean mosaic virus using soybean seed transcriptome data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624490/ https://www.ncbi.nlm.nih.gov/pubmed/29018311 http://dx.doi.org/10.5423/PPJ.OA.03.2017.0060 |
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