Evidence map›Paper›PMID 42595719›Full record

ArticleMolecular plant pathology2026

A Rare Recombination in the Phytophthora sojae Genome Allows the Redefinition of a Major Avirulence Gene.

Yanick Asselin, Adèle Deshaies, Caroline Labbé, Vanessa Tremblay, François Belzile, Richard Bélanger

Abstract read
In one paragraph

Article in Molecular plant pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Yanick AsselinDépartement de Phytologie, Université Laval, Québec, Québec, Canada.ORCID 0009-0008-3304-4823
Adèle DeshaiesDépartement de Phytologie, Université Laval, Québec, Québec, Canada.
Caroline LabbéDépartement de Phytologie, Université Laval, Québec, Québec, Canada.
Vanessa TremblayDépartement de Phytologie, Université Laval, Québec, Québec, Canada.
François BelzileDépartement de Phytologie, Université Laval, Québec, Québec, Canada.ORCID 0000-0001-6893-4529
Richard BélangerDépartement de Phytologie, Université Laval, Québec, Québec, Canada.ORCID 0000-0001-8549-975X

Funding

Canada Research ChairsGenome CanadaGénome Québec
6 · The paper itself

Abstract

Significant yield losses in soybean production are imputable to Phytophthora root and stem rot (PRR) caused by Phytophthora sojae. Resistance to PRR relies on resistance genes (Rps) that recognize key effectors from the pathogen, which are encoded by avirulence genes (Avr). Key Avr haplotypes can be monitored in natural P. sojae populations and exploited to predict which resistance gene can be deployed to provide protection to the soybean crop. In this study, we reassessed the identity of the avirulence gene whose protein product is recognized by Rps6. Following extensive soil sampling and single-spore isolation of a large population of P. sojae, we found two salient isolates carrying a rare recombination between the closely linked effectors Avr3c and Avr4/6. Using a PCR assay and molecular markers, we showed that only allelic variations at the Avr3c locus were in perfect association with the phenotypes of the isolates on Rps3c, Rps4 and Rps6 resistance. Consistent with these findings, a soybean protoplast cell-death assay further showed that only Avr3c, and not Avr4/6, triggered Rps6-dependent recognition. Furthermore, whole-genome resequencing and de novo assembly of the two isolates revealed the full extent of this genomic rearrangement. Together, these results establish Avr3c as the bona fide avirulence gene corresponding to Rps6 and offer a more reliable target for the pathotyping of P. sojae, which ultimately leads to a better deployment of resistant soybean cultivars.

Indexed as

PhytophthoraRecombination, GeneticGlycine maxPlant DiseasesVirulenceAvr3cAvr4/6effectorGlycine max (L.) MerrRps3cRps4Rps6

Identifiers

PMID42595719
PMCPMC13472948

What OpenQuestion holds

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Registered trials

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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.