Evidence map›Paper›PMID 32002327›Full record

ArticlePeerJ2020

Prehaustorial local resistance to coffee leaf rust in a Mexican cultivar involves expression of salicylic acid-responsive genes.

Edgar Couttolenc-Brenis, Gloria L Carrión, Luc Villain, Fernando Ortega-Escalona, Daniel Ramírez-Martínez, Martín Mata-Rosas, Alfonso Méndez-Bravo

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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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

7 authors at 4 institutions in 2 countries.

Edgar Couttolenc-BrenisRed de Manejo Biotecnológico de Recursos, Instituto de Ecología, A.C., Xalapa, Veracruz, México.
Gloria L CarriónRed de Biodiversidad y Sistemática de Hongos, Instituto de Ecología, A.C., Xalapa, Veracruz, México.
Luc VillainLa Recherche Agronomique pour le Développement, UMR, RPB, CIRAD, Montpellier, France.
Fernando Ortega-EscalonaRed de Ecología Funcional, Instituto de Ecología, A.C., Xalapa, Veracruz, México.
Daniel Ramírez-MartínezEscuela Nacional de Estudios Superiores Unidad Morelia, Universidad Nacional Autónoma de México, Morelia, Michoacán, México.
Martín Mata-RosasRed de Manejo Biotecnológico de Recursos, Instituto de Ecología, A.C., Xalapa, Veracruz, México.
Alfonso Méndez-BravoCONACYT-Escuela Nacional de Estudios Superiores Unidad Morelia, Laboratorio Nacional de Análisis y Síntesis Ecológica, Universidad Nacional Autónoma de México, Morelia, Michoacán, México.
Instituto de Ecología · MXUniversidad Nacional Autónoma de México · MXCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRInstituto Nacional de Investigaciones Forestales Agrícolas y Pecuarias · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Mexico, coffee leaf rust (CLR) is the main disease that affects the Arabica coffee crop. In this study, the local response of two Mexican cultivars of

methodsWe quantified the development of fungal structures in locally-infected leaf disks from both cultivars, using qRT-PCR to measure the relative expression of two pathogenesis recognition genes (

resultsResistance of the cv. Oro Azteca was significantly higher than that of the cv. Garnica, with 8.2% and 53.3% haustorial detection, respectively. In addition, the

Indexed as

Coffea arabicaDefense gene-expressionLeaf rustSalicylic acidSAR

Identifiers

PMID32002327
PMCPMC6982411
OpenAlexW3001781060

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.