Evidence map›Paper›PMID 35874027›Full record

ArticleFrontiers in plant science2022

Genome-Wide Identification, Characterization, and Comparative Analysis of

Mariana de Lima Santos, Mário Lúcio Vilela de Resende, Gabriel Sérgio Costa Alves, Jose Carlos Huguet-Tapia, Márcio Fernando Ribeiro de Júnior Resende, Jeremy Todd Brawner

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 12 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

6 authors at 3 institutions in 2 countries.

Mariana de Lima SantosLaboratório de Fisiologia do Parasitismo, Faculdade de Ciências Agrárias, Departamento de Fitopatologia, Universidade Federal de Lavras, Lavras, Brazil.
Mário Lúcio Vilela de ResendeLaboratório de Fisiologia do Parasitismo, Faculdade de Ciências Agrárias, Departamento de Fitopatologia, Universidade Federal de Lavras, Lavras, Brazil.
Gabriel Sérgio Costa AlvesLaboratório de Processos Biológicos e Produtos Biotecnológicos, Instituto de Ciências Biológicas, Departamento de Biologia Celular, Universidade de Brasília, Brasília, Brazil.
Jose Carlos Huguet-TapiaInstitute of Food and Agricultural Sciences, Department of Plant Pathology, University of Florida, Gainesville, FL, United States.
Márcio Fernando Ribeiro de Júnior ResendeInstitute of Food and Agricultural Sciences, Horticultural Sciences Department, University of Florida, Gainesville, FL, United States.
Jeremy Todd BrawnerInstitute of Food and Agricultural Sciences, Department of Plant Pathology, University of Florida, Gainesville, FL, United States.
University of Florida · USUniversidade Federal de Lavras · BRUniversidade de Brasília · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The largest family of disease resistance genes in plants are nucleotide-binding site leucine-rich repeat genes (NLRs). The products of these genes are responsible for recognizing avirulence proteins (Avr) of phytopathogens and triggering specific defense responses. Identifying NLRs in plant genomes with standard gene annotation software is challenging due to their multidomain nature, sequence diversity, and clustered genomic distribution. We present the results of a genome-wide scan and comparative analysis of NLR loci in three coffee species (

Indexed as

Coffeagenome-wideNLR-Annotatornucleotide-binding site leucine-rich repeatresistance genes

Identifiers

PMID35874027
PMCPMC9301388
OpenAlexW4284684045

What Socratic 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 Socratic graph.