Giancaspro Angelica, Giove Stefania Lucia, Marcotuli Ilaria, Ferrara Giuseppe, Gadaleta Agata
Department of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
Data Brief. 2023 Jun 30;49:109346. doi: 10.1016/j.dib.2023.109346. eCollection 2023 Aug.
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 ( L.) selections and cultivars" [1].
本文所述数据涉及通过使用微卫星(SSR,简单序列重复)标记,对大量石榴基因型进行分子特征分析和遗传多样性评估,这些基因型包括来自不同地理起源/传播地的选种和栽培品种。提供的数据集涉及一组63个基因型,其中包括来自意大利、土库曼斯坦、日本和美国的55份种质(地方品种)以及来自以色列的8个栽培品种,这些都保存在意大利巴里“阿尔多·莫罗”大学土壤、植物和食品科学系果树单元的石榴种质库中。石榴种质在最终用途(可食用、观赏性)以及一些形态-果实学性状方面存在差异,这些性状包括果汁口感、内种皮硬度以及果皮/种子颜色。分子数据被适当地用于构建相似性矩阵,以确定石榴种质之间的系统发育关系(遗传相似性和距离),并将遗传聚类与形态-果实学分类进行比较。本数据文章提供了关于SSR标记、PCR扩增和条带分析的详细信息和方法协议,旨在对石榴种质进行分子特征分析。后者是通过在每个石榴种质的基因组DNA上扩增一组信息丰富的多态性SSR标记,然后通过毛细管电泳比较不同的分子图谱来进行的。从微卫星标记获得的条带模式被用于构建一个二元矩阵,其中包含每个单独SSR片段的得分,该矩阵被转换为相似性矩阵,最终用于基于UPGMA算法的聚类分析和树状图构建。本文提供的数据可能有助于识别适用于品种鉴定和可追溯性的多态性标记,或区分形态相似性和/或地理一致性非常高的密切相关的石榴种质。本文所述数据支持已发表的原创研究文章《利用基于DNA的分子工具评估石榴(L.)选种和栽培品种的遗传多样性》[1]。