Evidence map›Paper›PMID 24521263›Full record

ArticleBMC genomics2014

Transcriptome sequencing for high throughput SNP development and genetic mapping in Pea.

Jorge Duarte, Nathalie Rivière, Alain Baranger, Grégoire Aubert, Judith Burstin, Laurent Cornet, Clément Lavaud, Isabelle Lejeune-Hénaut, Jean-Pierre Martinant, Jean-Philippe Pichon and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2014. 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
27.5field-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, 134 citations in OpenAlex.

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  8. Mendel: From genes to genome.Plant physiology · 2022
    Article
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  14. Identification ofFrontiers in genetics · 2020
    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

12 authors at 5 institutions in 2 countries.

Jorge Duarte
Nathalie Rivière
Alain Baranger
Grégoire Aubert
Judith Burstin
Laurent Cornet
Clément Lavaud
Isabelle Lejeune-Hénaut
Jean-Pierre Martinant
Jean-Philippe Pichon
Marie-Laure Pilet-Nayel
Gilles BoutetINRA UMR 1349 IGEPP, BP35327, Le Rheu Cedex 35653, France. gilles.boutet@rennes.inra.fr.
Biogemma (France) · FRInstitut de Génétique, Environnement et Protection des Plantes · FRInstitut National de la Recherche Agronomique · MAAgroécologie · FRLimagrain (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPea has a complex genome of 4.3 Gb for which only limited genomic resources are available to date. Although SNP markers are now highly valuable for research and modern breeding, only a few are described and used in pea for genetic diversity and linkage analysis.

resultsWe developed a large resource by cDNA sequencing of 8 genotypes representative of modern breeding material using the Roche 454 technology, combining both long reads (400 bp) and high coverage (3.8 million reads, reaching a total of 1,369 megabases). Sequencing data were assembled and generated a 68 K unigene set, from which 41 K were annotated from their best blast hit against the model species Medicago truncatula. Annotated contigs showed an even distribution along M. truncatula pseudochromosomes, suggesting a good representation of the pea genome. 10 K pea contigs were found to be polymorphic among the genetic material surveyed, corresponding to 35 K SNPs.We validated a subset of 1538 SNPs through the GoldenGate assay, proving their ability to structure a diversity panel of breeding germplasm. Among them, 1340 were genetically mapped and used to build a new consensus map comprising a total of 2070 markers. Based on blast analysis, we could establish 1252 bridges between our pea consensus map and the pseudochromosomes of M. truncatula, which provides new insight on synteny between the two species.

conclusionsOur approach created significant new resources in pea, i.e. the most comprehensive genetic map to date tightly linked to the model species M. truncatula and a large SNP resource for both academic research and breeding.

Indexed as

Polymorphism, Single NucleotideChromosome MappingContig MappingGenes, PlantGenetic VariationGenotypeHigh-Throughput Nucleotide SequencingPisum sativumSequence Analysis, DNA

Identifiers

PMID24521263
PMCPMC3925251
OpenAlexW2018175635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.