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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
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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 |
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