Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis

Growing grapevine (Vitis vinifera) is a key contribution to the economy of many countries. Tools provided by genomics and bioinformatics did help researchers in obtaining biological knowledge about the different cultivars. Several genetic markers for common diseases were identified. Recently, the im...

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Autores principales: Alaimo, Salvatore, Marceca, Gioacchino P., Giugno, Rosalba, Ferro, Alfredo, Pulvirenti, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767322/
https://www.ncbi.nlm.nih.gov/pubmed/29375610
http://dx.doi.org/10.3389/fpls.2017.02241
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author Alaimo, Salvatore
Marceca, Gioacchino P.
Giugno, Rosalba
Ferro, Alfredo
Pulvirenti, Alfredo
author_facet Alaimo, Salvatore
Marceca, Gioacchino P.
Giugno, Rosalba
Ferro, Alfredo
Pulvirenti, Alfredo
author_sort Alaimo, Salvatore
collection PubMed
description Growing grapevine (Vitis vinifera) is a key contribution to the economy of many countries. Tools provided by genomics and bioinformatics did help researchers in obtaining biological knowledge about the different cultivars. Several genetic markers for common diseases were identified. Recently, the impact of microbiome has been proved to be of fundamental importance both in humans and in plants for its ability to confer protection or induce diseases. In this review we report current knowledge about grapevine microbiome, together with a description of the available computational methodologies for meta-omics analysis.
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spelling pubmed-57673222018-01-26 Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis Alaimo, Salvatore Marceca, Gioacchino P. Giugno, Rosalba Ferro, Alfredo Pulvirenti, Alfredo Front Plant Sci Plant Science Growing grapevine (Vitis vinifera) is a key contribution to the economy of many countries. Tools provided by genomics and bioinformatics did help researchers in obtaining biological knowledge about the different cultivars. Several genetic markers for common diseases were identified. Recently, the impact of microbiome has been proved to be of fundamental importance both in humans and in plants for its ability to confer protection or induce diseases. In this review we report current knowledge about grapevine microbiome, together with a description of the available computational methodologies for meta-omics analysis. Frontiers Media S.A. 2018-01-09 /pmc/articles/PMC5767322/ /pubmed/29375610 http://dx.doi.org/10.3389/fpls.2017.02241 Text en Copyright © 2018 Alaimo, Marceca, Giugno, Ferro and Pulvirenti. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Alaimo, Salvatore
Marceca, Gioacchino P.
Giugno, Rosalba
Ferro, Alfredo
Pulvirenti, Alfredo
Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title_full Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title_fullStr Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title_full_unstemmed Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title_short Current Knowledge and Computational Techniques for Grapevine Meta-Omics Analysis
title_sort current knowledge and computational techniques for grapevine meta-omics analysis
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5767322/
https://www.ncbi.nlm.nih.gov/pubmed/29375610
http://dx.doi.org/10.3389/fpls.2017.02241
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