Evidence map›Paper›PMID 30367101›Full record

ArticleScientific reports2018

GBS-derived SNP catalogue unveiled wide genetic variability and geographical relationships of Italian olive cultivars.

Nunzio D'Agostino, Francesca Taranto, Salvatore Camposeo, Giacomo Mangini, Valentina Fanelli, Susanna Gadaleta, Monica Marilena Miazzi, Stefano Pavan, Valentina di Rienzo, Wilma Sabetta and 6 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
11.8field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 70 citations in OpenAlex.

  1. Genetic and Phenotypic Variations Within Ancient 'Mehras' Olive (International journal of molecular sciences · 2026
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  6. Evaluation of genetic diversity among olive trees (Frontiers in plant science · 2024
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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

16 authors at 4 institutions in 1 country.

Nunzio D'AgostinoCREA Research Centre for Vegetable and Ornamental Crops, Pontecagnano Faiano, Italy. nunzio.dagostino@crea.gov.it.ORCID http://orcid.org/0000-0001-9840-3817
Francesca TarantoSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy. francesca.taranto@uniba.it.
Salvatore CamposeoDepartment of Agricultural and Environmental sciences, University of Bari "Aldo Moro", Bari, Italy.
Giacomo ManginiDepartment of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy.
Valentina FanelliSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
Susanna GadaletaSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
Monica Marilena MiazziDepartment of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy.
Stefano PavanDepartment of Soil, Plant and Food Sciences, University of Bari "Aldo Moro", Bari, Italy.
Valentina di RienzoSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
Wilma SabettaSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
Luca LombardoCenter for Agriculture, Food ad Environment (C3A), University of Trento, San Michele all'Adige, Italy.
Samanta ZelascoCREA Research Centre for Olive, Citrus and Tree Fruit, Rende, Italy.
Enzo PerriCREA Research Centre for Olive, Citrus and Tree Fruit, Rende, Italy.
Concetta LottiDepartment of the Sciences of Agriculture, Food and Environment, University of Foggia, Foggia, Italy.
Elena CianiDepartment of Biosciences, Biotechnologies and Biopharmaceutics, University of Bari "Aldo Moro", Bari, Italy.
Cinzia MontemurroSINAGRI S.r.l. - Spin Off of the University of Bari "Aldo Moro", Bari, Italy.
University of Bari Aldo Moro · ITResearch Centre for Olive Growing and Olive Oil Industry · ITUniversity of Foggia · ITUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Information on the distribution of genetic variation is essential to preserve olive germplasm from erosion and to recover alleles lost through selective breeding. In addition, knowledge on population structure and genotype-phenotype associations is crucial to support modern olive breeding programs that must respond to new environmental conditions imposed by climate change and novel biotic/abiotic stressors. To further our understanding of genetic variation in the olive, we performed genotype-by-sequencing on a panel of 94 Italian olive cultivars. A reference-based and a reference-independent SNP calling pipeline generated 22,088 and 8,088 high-quality SNPs, respectively. Both datasets were used to model population structure via parametric and non parametric clustering. Although the two pipelines yielded a 3-fold difference in the number of SNPs, both described wide genetic variability among our study panel and allowed individuals to be grouped based on fruit weight and the geographical area of cultivation. Multidimensional scaling analysis on identity-by-state allele-sharing values as well as inference of population mixtures from genome-wide allele frequency data corroborated the clustering pattern we observed. These findings allowed us to formulate hypotheses about geographical relationships of Italian olive cultivars and to confirm known and uncover novel cases of synonymy.

Indexed as

Genetic VariationGenome, PlantDNA, PlantItalyLinkage DisequilibriumOleaPolymorphism, Single NucleotideDNA, Plant

Identifiers

PMID30367101
PMCPMC6203791
OpenAlexW2897758624

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.