Cargando…
In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data
Viruses are ubiquitous and present in a wide range of settings, from living organisms to various environments. Although viruses are regarded as important pathogens in higher plants, viral populations in specific host plants have not yet been fully examined. This study revealed viral populations in g...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623741/ https://www.ncbi.nlm.nih.gov/pubmed/26508692 http://dx.doi.org/10.1038/srep15841 |
_version_ | 1782397732724408320 |
---|---|
author | Jo, Yeonhwa Choi, Hoseong Kyong Cho, Jin Yoon, Ju-Yeon Choi, Seung-Kook Kyong Cho, Won |
author_facet | Jo, Yeonhwa Choi, Hoseong Kyong Cho, Jin Yoon, Ju-Yeon Choi, Seung-Kook Kyong Cho, Won |
author_sort | Jo, Yeonhwa |
collection | PubMed |
description | Viruses are ubiquitous and present in a wide range of settings, from living organisms to various environments. Although viruses are regarded as important pathogens in higher plants, viral populations in specific host plants have not yet been fully examined. This study revealed viral populations in grape berries obtained from a cultivar from a single vineyard using currently available grapevine transcriptomes. Eight viruses and two viroids were identified using 11 grapevine libraries. Virus-associated sequences in each transcriptome ranged from 0.2% (seed) to 8.8% (skin). The amount of viral RNAs and virus copy numbers was quantified, thus revealing the dominant virus or viroid in each individual library. In addition, five viral genomes were successfully assembled de novo using transcriptome data. Phylogenetic analyses revealed that the viruses and viroids might have originated from Europe, along with the host. Single nucleotide variation studies revealed the quasispecies of RNA viruses. Taken together, this study defines complex viral populations in three different grape tissues from a single vineyard. |
format | Online Article Text |
id | pubmed-4623741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46237412015-11-03 In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data Jo, Yeonhwa Choi, Hoseong Kyong Cho, Jin Yoon, Ju-Yeon Choi, Seung-Kook Kyong Cho, Won Sci Rep Article Viruses are ubiquitous and present in a wide range of settings, from living organisms to various environments. Although viruses are regarded as important pathogens in higher plants, viral populations in specific host plants have not yet been fully examined. This study revealed viral populations in grape berries obtained from a cultivar from a single vineyard using currently available grapevine transcriptomes. Eight viruses and two viroids were identified using 11 grapevine libraries. Virus-associated sequences in each transcriptome ranged from 0.2% (seed) to 8.8% (skin). The amount of viral RNAs and virus copy numbers was quantified, thus revealing the dominant virus or viroid in each individual library. In addition, five viral genomes were successfully assembled de novo using transcriptome data. Phylogenetic analyses revealed that the viruses and viroids might have originated from Europe, along with the host. Single nucleotide variation studies revealed the quasispecies of RNA viruses. Taken together, this study defines complex viral populations in three different grape tissues from a single vineyard. Nature Publishing Group 2015-10-28 /pmc/articles/PMC4623741/ /pubmed/26508692 http://dx.doi.org/10.1038/srep15841 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Jo, Yeonhwa Choi, Hoseong Kyong Cho, Jin Yoon, Ju-Yeon Choi, Seung-Kook Kyong Cho, Won In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title | In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title_full | In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title_fullStr | In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title_full_unstemmed | In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title_short | In silico approach to reveal viral populations in grapevine cultivar Tannat using transcriptome data |
title_sort | in silico approach to reveal viral populations in grapevine cultivar tannat using transcriptome data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4623741/ https://www.ncbi.nlm.nih.gov/pubmed/26508692 http://dx.doi.org/10.1038/srep15841 |
work_keys_str_mv | AT joyeonhwa insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata AT choihoseong insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata AT kyongchojin insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata AT yoonjuyeon insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata AT choiseungkook insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata AT kyongchowon insilicoapproachtorevealviralpopulationsingrapevinecultivartannatusingtranscriptomedata |