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Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers

Data described in this article refer to molecular characterization and assessment of genetic diversity within a wide collection of pomegranate genotypes including both selections and cultivars from different geographical origin/disseminations by using microsatellite (SSR, Simple Sequence Repeats) ma...

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Autores principales: Giancaspro, Angelica, Giove, Stefania Lucia, Marcotuli, Ilaria, Ferrara, Giuseppe, Gadaleta, Agata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344663/
https://www.ncbi.nlm.nih.gov/pubmed/37456114
http://dx.doi.org/10.1016/j.dib.2023.109346
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author Giancaspro, Angelica
Giove, Stefania Lucia
Marcotuli, Ilaria
Ferrara, Giuseppe
Gadaleta, Agata
author_facet Giancaspro, Angelica
Giove, Stefania Lucia
Marcotuli, Ilaria
Ferrara, Giuseppe
Gadaleta, Agata
author_sort Giancaspro, Angelica
collection PubMed
description Data described in this article refer to molecular characterization and assessment of genetic diversity within a wide collection of pomegranate genotypes including both selections and cultivars from different geographical origin/disseminations by using microsatellite (SSR, Simple Sequence Repeats) markers. Supplied datasets refer to a set of 63 genotypes including 55 accessions (landraces) from Italy, Turkmenistan, Japan, and USA and 8 cultivars from Israel, established at the pomegranate repository of the Fruit Tree Unit of the Department of Soil, Plant and Food Science at University of Bari “Aldo Moro”, Italy. Pomegranate accessions differed for end-use purpose (edible, ornamental) and some morpho-pomological traits including juice taste, inner tegmen hardness, and skin/seed color. Molecular data were opportunely employed to build a similarity matrix to establish phylogenetic relationships (genetic similarity and distances) among pomegranate accessions and compare genetic clustering to morpho-pomological classification. The present data article provides detailed information and methodological protocols on SSR markers, PCR amplification and banding profiling aimed to molecular characterization of pomegranate collection. This latter was conducted by amplifying a set of informative polymorphic SSR markers on the genomic DNA of each pomegranate accession, and then comparing the different molecular profiles by capillary electrophoresis. The banding patterns obtained from microsatellite markers were used to build a binary matrix containing the scores for each individual SSR fragment, which was transformed into a similarity matrix and finally used for cluster analysis and dendrogram building based on the UPGMA algorithm. This paper supplies data potentially useful for the identification of polymorphic markers suitable for varietal identification and traceability, or discrimination between tightly related pomegranate accessions with very high morphological similarity and/or geographical identity. Data described in this paper support the published original research article titled “Exploiting DNA-based molecular tools to assess genetic diversity in pomegranate (Punica granatum L.) selections and cultivars” [1].
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spelling pubmed-103446632023-07-14 Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers Giancaspro, Angelica Giove, Stefania Lucia Marcotuli, Ilaria Ferrara, Giuseppe Gadaleta, Agata Data Brief Data Article Data described in this article refer to molecular characterization and assessment of genetic diversity within a wide collection of pomegranate genotypes including both selections and cultivars from different geographical origin/disseminations by using microsatellite (SSR, Simple Sequence Repeats) markers. Supplied datasets refer to a set of 63 genotypes including 55 accessions (landraces) from Italy, Turkmenistan, Japan, and USA and 8 cultivars from Israel, established at the pomegranate repository of the Fruit Tree Unit of the Department of Soil, Plant and Food Science at University of Bari “Aldo Moro”, Italy. Pomegranate accessions differed for end-use purpose (edible, ornamental) and some morpho-pomological traits including juice taste, inner tegmen hardness, and skin/seed color. Molecular data were opportunely employed to build a similarity matrix to establish phylogenetic relationships (genetic similarity and distances) among pomegranate accessions and compare genetic clustering to morpho-pomological classification. The present data article provides detailed information and methodological protocols on SSR markers, PCR amplification and banding profiling aimed to molecular characterization of pomegranate collection. This latter was conducted by amplifying a set of informative polymorphic SSR markers on the genomic DNA of each pomegranate accession, and then comparing the different molecular profiles by capillary electrophoresis. The banding patterns obtained from microsatellite markers were used to build a binary matrix containing the scores for each individual SSR fragment, which was transformed into a similarity matrix and finally used for cluster analysis and dendrogram building based on the UPGMA algorithm. This paper supplies data potentially useful for the identification of polymorphic markers suitable for varietal identification and traceability, or discrimination between tightly related pomegranate accessions with very high morphological similarity and/or geographical identity. Data described in this paper support the published original research article titled “Exploiting DNA-based molecular tools to assess genetic diversity in pomegranate (Punica granatum L.) selections and cultivars” [1]. Elsevier 2023-06-30 /pmc/articles/PMC10344663/ /pubmed/37456114 http://dx.doi.org/10.1016/j.dib.2023.109346 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Giancaspro, Angelica
Giove, Stefania Lucia
Marcotuli, Ilaria
Ferrara, Giuseppe
Gadaleta, Agata
Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title_full Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title_fullStr Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title_full_unstemmed Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title_short Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (Punica granatum L.) by microsatellite markers
title_sort datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (punica granatum l.) by microsatellite markers
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10344663/
https://www.ncbi.nlm.nih.gov/pubmed/37456114
http://dx.doi.org/10.1016/j.dib.2023.109346
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