Evidence map›Paper›PMID 29156057›Full record

ArticleNucleic acids research2018

PRGdb 3.0: a comprehensive platform for prediction and analysis of plant disease resistance genes.

Cristina M Osuna-Cruz, Andreu Paytuvi-Gallart, Antimo Di Donato, Vicky Sundesha, Giuseppe Andolfo, Riccardo Aiese Cigliano, Walter Sanseverino, Maria R Ercolano

Abstract readDataset
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed
–field-weighted citation impact
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

94 citing papers in PubMed.

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34 more citing papers are in PubMed but not listed here.

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

8 authors.

Cristina M Osuna-CruzSequentia Biotech SL, Calle Comte D'Urgell 240, 08036 Barcelona, Spain.
Andreu Paytuvi-GallartSequentia Biotech SL, Calle Comte D'Urgell 240, 08036 Barcelona, Spain.
Antimo Di DonatoDipartimento di Agraria, Università di Napoli 'Federico II', Via Università 100, 80055 Portici, Italy.
Vicky SundeshaSequentia Biotech SL, Calle Comte D'Urgell 240, 08036 Barcelona, Spain.
Giuseppe AndolfoDipartimento di Agraria, Università di Napoli 'Federico II', Via Università 100, 80055 Portici, Italy.
Riccardo Aiese CiglianoSequentia Biotech SL, Calle Comte D'Urgell 240, 08036 Barcelona, Spain.
Walter SanseverinoSequentia Biotech SL, Calle Comte D'Urgell 240, 08036 Barcelona, Spain.
Maria R ErcolanoDipartimento di Agraria, Università di Napoli 'Federico II', Via Università 100, 80055 Portici, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Plant Resistance Genes database (PRGdb; http://prgdb.org) has been redesigned with a new user interface, new sections, new tools and new data for genetic improvement, allowing easy access not only to the plant science research community but also to breeders who want to improve plant disease resistance. The home page offers an overview of easy-to-read search boxes that streamline data queries and directly show plant species for which data from candidate or cloned genes have been collected. Bulk data files and curated resistance gene annotations are made available for each plant species hosted. The new Gene Model view offers detailed information on each cloned resistance gene structure to highlight shared attributes with other genes. PRGdb 3.0 offers 153 reference resistance genes and 177 072 annotated candidate Pathogen Receptor Genes (PRGs). Compared to the previous release, the number of putative genes has been increased from 106 to 177 K from 76 sequenced Viridiplantae and algae genomes. The DRAGO 2 tool, which automatically annotates and predicts (PRGs) from DNA and amino acid with high accuracy and sensitivity, has been added. BLAST search has been implemented to offer users the opportunity to annotate and compare their own sequences. The improved section on plant diseases displays useful information linked to genes and genomes to connect complementary data and better address specific needs. Through, a revised and enlarged collection of data, the development of new tools and a renewed portal, PRGdb 3.0 engages the plant science community in developing a consensus plan to improve knowledge and strategies to fight diseases that afflict main crops and other plants.

Indexed as

SoftwareDisease ResistanceGenes, PlantInternetMolecular Sequence AnnotationPlant DiseasesUser-Computer InterfaceViridiplantae

Identifiers

PMID29156057
PMCPMC5753367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.