Evidence map›Paper›PMID 26897486›Full record

ArticleBMC genomics2016

Genome-wide association mapping of partial resistance to Aphanomyces euteiches in pea.

Aurore Desgroux, Virginie L'Anthoëne, Martine Roux-Duparque, Jean-Philippe Rivière, Grégoire Aubert, Nadim Tayeh, Anne Moussart, Pierre Mangin, Pierrick Vetel, Christophe Piriou and 7 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
16.4field-weighted citation impact, top 1% 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

44 citing papers in PubMed, 98 citations in OpenAlex.

  1. Aphanomyces euteiches causes disease in Lathyrus sativus with a globally diverse, polygenic resistance landscape.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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  8. QTL combinations associated with field partial resistance to Aphanomyces root rot in pea near-isogenic lines.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
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  13. Pathotype characterization ofFrontiers in plant science · 2024
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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

17 authors at 4 institutions in 2 countries.

Aurore DesgrouxINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. aurore.desgroux@rennes.inra.fr.
Virginie L'AnthoëneINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Virginie.Merot@rdto.nestle.com.
Martine Roux-DuparqueGSP, Domaine Brunehaut, 80200, Estrées-Mons Cedex, France. martine.rouxduparque@ma02.org.
Jean-Philippe RivièreINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. jean-philippe.riviere@rennes.inra.fr.
Grégoire AubertINRA, UMR 1347 Agroécologie, 17 rue de Sully, 21065, Dijon Cedex, France. Gregoire.Aubert@dijon.inra.fr.
Nadim TayehINRA, UMR 1347 Agroécologie, 17 rue de Sully, 21065, Dijon Cedex, France. Nadim.Tayeh@dijon.inra.fr.
Anne MoussartPISOM, UMT INRA/Terres Inovia, UMR IGEPP 1349, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Anne.Moussard@rennes.inra.fr.
Pierre ManginINRA, Domaine Expérimental d'Epoisses, UE0115, 21110, Bretenières Cedex, France. pierre.mangin@dijon.inra.fr.
Pierrick VetelINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Pierrick.Vetel@rennes.inra.fr.
Christophe PiriouINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Christophe.Piriou@rennes.inra.fr.
Rebecca J McGeeUSDA, ARS, Grain Legume Genetics and Physiology Research Unit, Pullman, WA, 99164-6434, USA. Rebecca.McGee@ars.usda.gov.
Clarice J CoyneUSDA, ARS, Western Regional Plant Introduction Station, Washington State University, Pullman, WA, 99164-6402, USA. Clarice.Coyne@ars.usda.gov.
Judith BurstinINRA, UMR 1347 Agroécologie, 17 rue de Sully, 21065, Dijon Cedex, France. judith.burstin@dijon.inra.fr.
Alain BarangerINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Alain.Baranger@rennes.inra.fr.
Maria Manzanares-DauleuxINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. maria.manzanares@agrocampus-ouest.fr.
Virginie BourionINRA, UMR 1347 Agroécologie, 17 rue de Sully, 21065, Dijon Cedex, France. Virginie.Bourion@dijon.inra.fr.
Marie-Laure Pilet-NayelINRA, UMR IGEPP 1349, Institut de Génétique et Protection des Plantes, Domaine de la Motte au Vicomte, BP 35327, 35653, Le Rheu Cedex, France. Marie-Laure.Pilet@rennes.inra.fr.
Institut de Génétique, Environnement et Protection des Plantes · FRUniversité de Bourgogne · FRAgricultural Research Service · USÉtablissement Français du Sang · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenome-wide association (GWA) mapping has recently emerged as a valuable approach for refining the genetic basis of polygenic resistance to plant diseases, which are increasingly used in integrated strategies for durable crop protection. Aphanomyces euteiches is a soil-borne pathogen of pea and other legumes worldwide, which causes yield-damaging root rot. Linkage mapping studies reported quantitative trait loci (QTL) controlling resistance to A. euteiches in pea. However the confidence intervals (CIs) of these QTL remained large and were often linked to undesirable alleles, which limited their application in breeding. The aim of this study was to use a GWA approach to validate and refine CIs of the previously reported Aphanomyces resistance QTL, as well as identify new resistance loci.

methodsA pea-Aphanomyces collection of 175 pea lines, enriched in germplasm derived from previously studied resistant sources, was evaluated for resistance to A. euteiches in field infested nurseries in nine environments and with two strains in climatic chambers. The collection was genotyped using 13,204 SNPs from the recently developed GenoPea Infinium® BeadChip.

resultsGWA analysis detected a total of 52 QTL of small size-intervals associated with resistance to A. euteiches, using the recently developed Multi-Locus Mixed Model. The analysis validated six of the seven previously reported main Aphanomyces resistance QTL and detected novel resistance loci. It also provided marker haplotypes at 14 consistent QTL regions associated with increased resistance and highlighted accumulation of favourable haplotypes in the most resistant lines. Previous linkages between resistance alleles and undesired late-flowering alleles for dry pea breeding were mostly confirmed, but the linkage between loci controlling resistance and coloured flowers was broken due to the high resolution of the analysis. A high proportion of the putative candidate genes underlying resistance loci encoded stress-related proteins and others suggested that the QTL are involved in diverse functions.

conclusionThis study provides valuable markers, marker haplotypes and germplasm lines to increase levels of partial resistance to A. euteiches in pea breeding.

Indexed as

AphanomycesChromosome MappingAllelesConfidence IntervalsDisease ResistanceGenetic Association StudiesGenetic MarkersGenotypeHaplotypesLinkage DisequilibriumModels, GeneticPhenotypePisum sativumPlant DiseasesPolymorphism, Single NucleotideQuantitative Trait LociGenetic Markers

Identifiers

PMID26897486
PMCPMC4761183
OpenAlexW2282302323

What OpenQuestion holds

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LicenceCC BY
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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.