Evidence map›Paper›PMID 41419820›Full record

ArticleBMC plant biology2025

Association genetics and genomic prediction for resistance to root rot in a diverse collection of Pisum sativum L.

Daniel Ariza-Suarez, Lukas Wille, Pierre Hohmann, Valentin Gfeller, Michael Schneider, Matthew W Horton, Monika M Messmer, Bruno Studer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  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

8 authors.

Daniel Ariza-SuarezMolecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-1871-3514
Lukas WilleMolecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland.ORCID http://orcid.org/0009-0004-4090-3826
Pierre HohmannDepartment of Crop Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070, Frick, Switzerland.ORCID http://orcid.org/0000-0001-7029-0566
Valentin GfellerDepartment of Crop Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070, Frick, Switzerland.ORCID http://orcid.org/0000-0001-8896-7280
Michael SchneiderDepartment of Crop Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070, Frick, Switzerland.ORCID http://orcid.org/0000-0002-6491-8852
Matthew W HortonDepartment of Crop Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070, Frick, Switzerland.ORCID http://orcid.org/0000-0002-7537-0730
Monika M MessmerDepartment of Crop Sciences, Research Institute of Organic Agriculture (FiBL), Ackerstrasse 113, 5070, Frick, Switzerland. monika.messmer@fibl.org.ORCID http://orcid.org/0000-0002-6120-0079
Bruno StuderMolecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Universitaetstrasse 2, 8092, Zurich, Switzerland. bruno.studer@usys.ethz.ch.ORCID http://orcid.org/0000-0001-8795-0719

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoot rot is one of the most threatening diseases to pea production. Root rot is caused by several interacting soil-borne pathogens which makes it challenging to manage. Breeding for resistance is a promising approach for sustainable pea production. While quantitative trait loci (QTL) for resistance against individual pathogens have been identified, the genetic basis underlying resistance against the pathogen complex is poorly understood.

resultsUsing a previously described diverse panel of 254 pea genotypes and 18k single nucleotide polymorphism (SNP) markers, we identified a novel QTL for resistance to root rot on chromosome chr6LG2. This QTL co-locates with a mitochondrial Rho GTPase and an F-box gene model, which are promising candidates for disease control. A whole-genome prediction model explained up to 53% of the phenotypic variation and reached predictive abilities of up to 0.51 for root rot-related traits. We found that plant height and shoot biomass were unreliable indicators of plant health. Instead, these traits were related to the Mendelian Le locus, which controls stem length.

conclusionsOur results provide new insights into the genetic basis of quantitative root rot resistance in pea and provide novel tools that could accelerate the development of resistant pea lines through marker-assisted and genomic selection.

Indexed as

Disease ResistancePisum sativumPlant DiseasesPlant RootsGenome, PlantGenotypePhenotypePolymorphism, Single NucleotideQuantitative Trait LociCandidate resistance genesGenome-wide association studiesGenomic predictionPea (Pisum sativum L.)Root rot

Identifiers

PMID41419820
PMCPMC12831431

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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.