Evidence map›Paper›PMID 35111182›Full record

ArticleFrontiers in plant science2021

The Grape Gene Reference Catalogue as a Standard Resource for Gene Selection and Genetic Improvement.

David Navarro-Payá, Antonio Santiago, Luis Orduña, Chen Zhang, Alessandra Amato, Erica D'Inca, Chiara Fattorini, Mario Pezzotti, Giovanni Battista Tornielli, Sara Zenoni and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 35 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

12 authors at 4 institutions in 3 countries.

David Navarro-PayáInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
Antonio SantiagoInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
Luis OrduñaInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
Chen ZhangInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
Alessandra AmatoDepartment of Biotechnology, University of Verona, Verona, Italy.
Erica D'IncaDepartment of Biotechnology, University of Verona, Verona, Italy.
Chiara FattoriniDepartment of Biotechnology, University of Verona, Verona, Italy.
Mario PezzottiDepartment of Biotechnology, University of Verona, Verona, Italy.
Giovanni Battista TornielliDepartment of Biotechnology, University of Verona, Verona, Italy.
Sara ZenoniDepartment of Biotechnology, University of Verona, Verona, Italy.
Camille RustenholzINRAE, SVQV UMR-A 1131, Université de Strasbourg, Colmar, France.
José Tomás MatusInstitute for Integrative Systems Biology (I2SysBio), Universitat de València-CSIC, Valencia, Spain.
University of Verona · ITParc Científic de la Universitat de València · ESUniversitat de València · ESInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective crop improvement, whether through selective breeding or biotech strategies, is largely dependent on the cumulative knowledge of a species' pangenome and its containing genes. Acquiring this knowledge is specially challenging in grapevine, one of the oldest fruit crops grown worldwide, which is known to have more than 30,000 genes. Well-established research communities studying model organisms have created and maintained, through public and private funds, a diverse range of online tools and databases serving as repositories of genomes and gene function data. The lack of such resources for the non-model, but economically important,

Indexed as

databasegene characterisationgene repositorygrapevineintegrape

Identifiers

PMID35111182
PMCPMC8801485
OpenAlexW4205217417

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.