Evidence map›Paper›PMID 30049268›Full record

ArticleBMC biology2018

Stable predictive markers for Phytophthora sojae avirulence genes that impair infection of soybean uncovered by whole genome sequencing of 31 isolates.

Geneviève Arsenault-Labrecque, Humira Sonah, Amandine Lebreton, Caroline Labbé, Geneviève Marchand, Allen Xue, François Belzile, Brian J Knaus, Niklaus J Grünwald, Richard R Bélanger

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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  11. Mutations in the Promoter and Coding Regions ofFrontiers in microbiology · 2021
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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

10 authors at 3 institutions in 2 countries.

Geneviève Arsenault-LabrecqueDépartement de Phytologie, Université Laval, Québec, QC, Canada.
Humira SonahDépartement de Phytologie, Université Laval, Québec, QC, Canada.
Amandine LebretonDépartement de Phytologie, Université Laval, Québec, QC, Canada.
Caroline LabbéDépartement de Phytologie, Université Laval, Québec, QC, Canada.
Geneviève MarchandAgriculture and Agri-Food Canada, Harrow, ON, Canada.
Allen XueAgriculture and Agri-Food Canada, Ontario, ON, Canada.
François BelzileDépartement de Phytologie, Université Laval, Québec, QC, Canada.
Brian J KnausHorticultural Crops Research Laboratory, USDA Agricultural Research Service, Corvallis, OR, USA.
Niklaus J GrünwaldHorticultural Crops Research Laboratory, USDA Agricultural Research Service, Corvallis, OR, USA.
Richard R BélangerDépartement de Phytologie, Université Laval, Québec, QC, Canada. richard.belanger@fsaa.ulaval.ca.ORCID 0000-0001-8549-975X
Université Laval · CAAgricultural Research Service · USAgriculture and Agri-Food Canada · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe interaction between oomycete plant pathogen Phytophthora sojae and soybean is characterized by the presence of avirulence (Avr) genes in P. sojae, which encode for effectors that trigger immune responses and resistance in soybean via corresponding resistance genes (Rps). A recent survey highlighted a rapid diversification of P. sojae Avr genes in soybean fields and the need to deploy new Rps genes. However, the full genetic diversity of P. sojae isolates remains complex and dynamic and is mostly characterized on the basis of phenotypic associations with differential soybean lines.

resultsWe sequenced the genomes of 31 isolates of P. sojae, representing a large spectrum of the pathotypes found in soybean fields, and compared all the genetic variations associated with seven Avr genes (1a, 1b, 1c, 1d, 1k, 3a, 6) and how the derived haplotypes matched reported phenotypes in 217 interactions. We discovered new variants, copy number variations and some discrepancies with the virulence of previously described isolates with Avr genes, notably with Avr1b and Avr1c. In addition, genomic signatures revealed 11.5% potentially erroneous phenotypes. When these interactions were re-phenotyped, and the Avr genes re-sequenced over time and analyzed for expression, our results showed that genomic signatures alone accurately predicted 99.5% of the interactions.

conclusionsThis comprehensive genomic analysis of seven Avr genes of P. sojae in a population of 31 isolates highlights that genomic signatures can be used as accurate predictors of phenotypes for compatibility with Rps genes in soybean. Our findings also show that spontaneous mutations, often speculated as a source of aberrant phenotypes, did not occur within the confines of our experiments and further suggest that epigenesis or gene silencing do not account alone for previous discordance between genotypes and phenotypes. Furthermore, on the basis of newly identified virulence patterns within Avr1c, our results offer an explanation why Rps1c has failed more rapidly in the field than the reported information on virulence pathotypes.

Indexed as

DNA Copy Number VariationsGlycine maxHaplotypesPhytophthoraPlant DiseasesVirulenceWhole Genome SequencingAvr genesEffectorsGenomicsHaplotype analysisOomycetePhytophthora sojaePlant pathogenR genes

Identifiers

PMID30049268
PMCPMC6060493
OpenAlexW2883000767

What OpenQuestion holds

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LicenceCC BY
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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.