Evidence map›Paper›PMID 37456114›Full record

ArticleData in brief2023

Datasets for genetic diversity assessment in a collection of wild and cultivated pomegranates (

Angelica Giancaspro, Stefania Lucia Giove, Ilaria Marcotuli, Giuseppe Ferrara, Agata Gadaleta

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Angelica GiancasproDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
Stefania Lucia GioveDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
Ilaria MarcotuliDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
Giuseppe FerraraDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
Agata GadaletaDepartment of Soil, Plant and Food Sciences (DiSSPA), University of Bari "Aldo Moro", Via G. Amendola 165/A, Bari 70126, Italy.
University of Bari Aldo Moro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (

Indexed as

DiversityGenetic distanceMolecular characterizationPomegranatePunica granatumSSR

Identifiers

PMID37456114
PMCPMC10344663
OpenAlexW4382775684

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.