Evidence map›Paper›PMID 26892170›Full record

ArticleBMC genomics2016

SNP discovery and genetic mapping using genotyping by sequencing of whole genome genomic DNA from a pea RIL population.

Gilles Boutet, Susete Alves Carvalho, Matthieu Falque, Pierre Peterlongo, Emeline Lhuillier, Olivier Bouchez, Clément Lavaud, Marie-Laure Pilet-Nayel, Nathalie Rivière, Alain Baranger

Open access · goldAbstract read
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 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
30.8field-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

39 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
  2. Functional Genomics: From Soybean to Legume.International journal of molecular sciences · 2025
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  3. Identification of late blight resistance QTLsMolecular breeding : new strategies in plant improvement · 2025
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  5. Journal of fungi (Basel, Switzerland) · 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

10 authors at 6 institutions in 1 country.

Gilles BoutetINRA, UMR 1349 IGEPP, BP35327, Le Rheu Cedex, 35653, France. gilles.boutet@rennes.inra.fr.
Susete Alves CarvalhoINRA, UMR 1349 IGEPP, BP35327, Le Rheu Cedex, 35653, France. susete.ac@gmail.com.
Matthieu FalqueINRA, UMR Génétique Quantitative et Evolution - Le Moulon, INRA - Univ Paris-Sud - CNRS - AgroParisTech, Ferme du Moulon, 91190, Gif-sur-Yvette, France. matthieu.falque@moulon.inra.fr.
Pierre PeterlongoINRIA Rennes - Bretagne Atlantique/IRISA, EPI GenScale, Rennes, 35042, France. pierre.peterlongo@inria.fr.
Emeline LhuillierGeT-PlaGe, Genotoul, INRA Auzeville F31326, Castanet-tolosan, France. emeline.lhuillier@udear.cnrs.fr.
Olivier BouchezGeT-PlaGe, Genotoul, INRA Auzeville F31326, Castanet-tolosan, France. olivier.bouchez@toulouse.inra.fr.
Clément LavaudINRA, UMR 1349 IGEPP, BP35327, Le Rheu Cedex, 35653, France. clement.lavaud@rennes.inra.fr.
Marie-Laure Pilet-NayelINRA, UMR 1349 IGEPP, BP35327, Le Rheu Cedex, 35653, France. marie-laure.pilet@rennes.inra.fr.
Nathalie RivièreBiogemma, route d'Ennezat, CS90126, Chappes, 63720, France. nathalie.riviere@biogemma.com.
Alain BarangerINRA, UMR 1349 IGEPP, BP35327, Le Rheu Cedex, 35653, France. alain.baranger@rennes.inra.fr.
Institut de Génétique, Environnement et Protection des Plantes · FRGénétique Physiologie et Systèmes d'Elevage · FRAgroParisTech · FRBiogemma (France) · FRCentre Technique Interprofessionnel des Oléagineux Métropolitains · FRInstitut de Recherche en Informatique et Systèmes Aléatoires · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProgress in genetics and breeding in pea still suffers from the limited availability of molecular resources. SNP markers that can be identified through affordable sequencing processes, without the need for prior genome reduction or a reference genome to assemble sequencing data would allow the discovery and genetic mapping of thousands of molecular markers. Such an approach could significantly speed up genetic studies and marker assisted breeding for non-model species.

resultsA total of 419,024 SNPs were discovered using HiSeq whole genome sequencing of four pea lines, followed by direct identification of SNP markers without assembly using the discoSnp tool. Subsequent filtering led to the identification of 131,850 highly designable SNPs, polymorphic between at least two of the four pea lines. A subset of 64,754 SNPs was called and genotyped by short read sequencing on a subpopulation of 48 RILs from the cross 'Baccara' x 'PI180693'. This data was used to construct a WGGBS-derived pea genetic map comprising 64,263 markers. This map is collinear with previous pea consensus maps and therefore with the Medicago truncatula genome. Sequencing of four additional pea lines showed that 33 % to 64 % of the mapped SNPs, depending on the pairs of lines considered, are polymorphic and can therefore be useful in other crosses. The subsequent genotyping of a subset of 1000 SNPs, chosen for their mapping positions using a KASP™ assay, showed that almost all generated SNPs are highly designable and that most (95 %) deliver highly qualitative genotyping results. Using rather low sequencing coverages in SNP discovery and in SNP inferring did not hinder the identification of hundreds of thousands of high quality SNPs.

conclusionsThe development and optimization of appropriate tools in SNP discovery and genetic mapping have allowed us to make available a massive new genomic resource in pea. It will be useful for both fine mapping within chosen QTL confidence intervals and marker assisted breeding for important traits in pea improvement.

Indexed as

Chromosome MappingGenome, PlantPolymorphism, Single NucleotideDNA, PlantGenetic MarkersGenotypeGenotyping TechniquesPisum sativumSequence Analysis, DNADNA, PlantGenetic Markers

Identifiers

PMID26892170
PMCPMC4758021
OpenAlexW2280283762

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.