Cargando…

Genomic data of two Greek Vitis varieties

The genetic material of Vitis varieties is crucial for the wine sector. In addition, genomic technologies applied in vitis germplasm characterization are important for the conservation of indigenous genetic reservoirs. Until recently the most common method to genetically identify vitis varieties was...

Descripción completa

Detalles Bibliográficos
Autores principales: Tsiolas, George, Michailidou, Sofia, Tsoureki, Antiopi, Argiriou, Anagnostis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092844/
https://www.ncbi.nlm.nih.gov/pubmed/35572792
http://dx.doi.org/10.1016/j.dib.2022.108216
_version_ 1784705212596879360
author Tsiolas, George
Michailidou, Sofia
Tsoureki, Antiopi
Argiriou, Anagnostis
author_facet Tsiolas, George
Michailidou, Sofia
Tsoureki, Antiopi
Argiriou, Anagnostis
author_sort Tsiolas, George
collection PubMed
description The genetic material of Vitis varieties is crucial for the wine sector. In addition, genomic technologies applied in vitis germplasm characterization are important for the conservation of indigenous genetic reservoirs. Until recently the most common method to genetically identify vitis varieties was the use of Simple Sequence Repeats (SSR) along with SNP chips. Yet, with the progress in Next Generation Sequencing (NGS) technologies and the reduced sequencing cost per base, a twist in plant species genetic identification methods has occurred. Among them, the low coverage Whole-Genome Sequencing (lcWGS) method with downstream bioinformatic analysis for variant discovery and phylogenetic characterization is gaining scientific attention. In this dataset, shotgun sequencing data of two different Greek Vitis varieties, ‘Razaki’ and ‘Vlachiko’ are presented. Vitis cultivars were collected from the Aristotle University of Thessaloniki's (AUTH) ampelographic collection and have been previously phenotypically and genetically characterized. WGS libraries were sequenced on an Illumina(Ⓡ) NovaSeq 6000 platform with the Illumina(Ⓡ) NovaSeq 6000 S2 Reagent Kit (300 cycles). Raw sequence data used for analysis are available in NCBI under the Sequence Read Archive (SRA), with BioProject ID PRJNA805368. Reads were aligned to the reference genome of Vitis vinifera available from the EnsemblPlants database and formal analysis was conducted with the Genome Analysis Toolkit 4 (GATK4) pipeline. Data can be used to enrich our knowledge related to the genetic background of vitis cultivars and can also serve as a threshold in the scientific community towards the construction of a genomic database of vitis cultivars.
format Online
Article
Text
id pubmed-9092844
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-90928442022-05-12 Genomic data of two Greek Vitis varieties Tsiolas, George Michailidou, Sofia Tsoureki, Antiopi Argiriou, Anagnostis Data Brief Data Article The genetic material of Vitis varieties is crucial for the wine sector. In addition, genomic technologies applied in vitis germplasm characterization are important for the conservation of indigenous genetic reservoirs. Until recently the most common method to genetically identify vitis varieties was the use of Simple Sequence Repeats (SSR) along with SNP chips. Yet, with the progress in Next Generation Sequencing (NGS) technologies and the reduced sequencing cost per base, a twist in plant species genetic identification methods has occurred. Among them, the low coverage Whole-Genome Sequencing (lcWGS) method with downstream bioinformatic analysis for variant discovery and phylogenetic characterization is gaining scientific attention. In this dataset, shotgun sequencing data of two different Greek Vitis varieties, ‘Razaki’ and ‘Vlachiko’ are presented. Vitis cultivars were collected from the Aristotle University of Thessaloniki's (AUTH) ampelographic collection and have been previously phenotypically and genetically characterized. WGS libraries were sequenced on an Illumina(Ⓡ) NovaSeq 6000 platform with the Illumina(Ⓡ) NovaSeq 6000 S2 Reagent Kit (300 cycles). Raw sequence data used for analysis are available in NCBI under the Sequence Read Archive (SRA), with BioProject ID PRJNA805368. Reads were aligned to the reference genome of Vitis vinifera available from the EnsemblPlants database and formal analysis was conducted with the Genome Analysis Toolkit 4 (GATK4) pipeline. Data can be used to enrich our knowledge related to the genetic background of vitis cultivars and can also serve as a threshold in the scientific community towards the construction of a genomic database of vitis cultivars. Elsevier 2022-04-27 /pmc/articles/PMC9092844/ /pubmed/35572792 http://dx.doi.org/10.1016/j.dib.2022.108216 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Tsiolas, George
Michailidou, Sofia
Tsoureki, Antiopi
Argiriou, Anagnostis
Genomic data of two Greek Vitis varieties
title Genomic data of two Greek Vitis varieties
title_full Genomic data of two Greek Vitis varieties
title_fullStr Genomic data of two Greek Vitis varieties
title_full_unstemmed Genomic data of two Greek Vitis varieties
title_short Genomic data of two Greek Vitis varieties
title_sort genomic data of two greek vitis varieties
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092844/
https://www.ncbi.nlm.nih.gov/pubmed/35572792
http://dx.doi.org/10.1016/j.dib.2022.108216
work_keys_str_mv AT tsiolasgeorge genomicdataoftwogreekvitisvarieties
AT michailidousofia genomicdataoftwogreekvitisvarieties
AT tsourekiantiopi genomicdataoftwogreekvitisvarieties
AT argiriouanagnostis genomicdataoftwogreekvitisvarieties