Evidence map›Paper›PMID 25271305›Full record

ArticleGenetics2014

Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.

Héloïse Giraud, Christina Lehermeier, Eva Bauer, Matthieu Falque, Vincent Segura, Cyril Bauland, Christian Camisan, Laura Campo, Nina Meyer, Nicolas Ranc and 9 more

Abstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Improving the use of plant genetic resources to sustain breeding programs' efficiency.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  15. An IBD-based mixed model approach for QTL mapping in multiparental populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021
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  20. Multi-parent multi-environment QTL analysis: an illustration with the EU-NAM Flint population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
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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

19 authors.

Héloïse GiraudUniversité Paris-Sud, Unité Mixte Unité Mixte/Unité Mixte de Recherche 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
Christina LehermeierPlant Breeding, Technische Universität München, D-85354 Freising, Germany.
Eva BauerPlant Breeding, Technische Universität München, D-85354 Freising, Germany.
Matthieu FalqueInstitut National de la Recherche Agronomique, Unité Mixte Unité Mixte/Unité Mixte de Recherche 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
Vincent SeguraInstitut National de la Recherche Agronomique, F-45075 Orléans, France.
Cyril BaulandInstitut National de la Recherche Agronomique, Unité Mixte Unité Mixte/Unité Mixte de Recherche 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
Christian CamisanLimagrain Europe, F-63720 Chappes, France.
Laura CampoCentro Investigacións Agrarias Mabegondo, 15080 La Coruña, Spain.
Nina MeyerKleinwanzlebener Saatzucht Saat AG, D-37555 Einbeck, Germany.
Nicolas RancSyngenta Seeds, F-31790 Saint-Sauveur, France.
Wolfgang SchipprackInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, D-70593 Stuttgart, Germany.
Pascal FlamentLimagrain Europe, F-63720 Chappes, France.
Albrecht E MelchingerInstitute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, D-70593 Stuttgart, Germany.
Monica MenzSyngenta Seeds, F-31790 Saint-Sauveur, France.
Jesús Moreno-GonzálezCentro Investigacións Agrarias Mabegondo, 15080 La Coruña, Spain.
Milena OuzunovaKleinwanzlebener Saatzucht Saat AG, D-37555 Einbeck, Germany.
Alain CharcossetInstitut National de la Recherche Agronomique, Unité Mixte Unité Mixte/Unité Mixte de Recherche 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France.
Chris-Carolin SchönPlant Breeding, Technische Universität München, D-85354 Freising, Germany.
Laurence MoreauInstitut National de la Recherche Agronomique, Unité Mixte Unité Mixte/Unité Mixte de Recherche 8120 Génétique Végétale, F-91190 Gif-sur-Yvette, France moreau@moulon.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiparental designs combined with dense genotyping of parents have been proposed as a way to increase the diversity and resolution of quantitative trait loci (QTL) mapping studies, using methods combining linkage disequilibrium information with linkage analysis (LDLA). Two new nested association mapping designs adapted to European conditions were derived from the complementary dent and flint heterotic groups of maize (Zea mays L.). Ten biparental dent families (N = 841) and 11 biparental flint families (N = 811) were genotyped with 56,110 single nucleotide polymorphism markers and evaluated as test crosses with the central line of the reciprocal design for biomass yield, plant height, and precocity. Alleles at candidate QTL were defined as (i) parental alleles, (ii) haplotypic identity by descent, and (iii) single-marker groupings. Between five and 16 QTL were detected depending on the model, trait, and genetic group considered. In the flint design, a major QTL (R(2) = 27%) with pleiotropic effects was detected on chromosome 10, whereas other QTL displayed milder effects (R(2) < 10%). On average, the LDLA models detected more QTL but generally explained lower percentages of variance, consistent with the fact that most QTL display complex allelic series. Only 15% of the QTL were common to the two designs. A joint analysis of the two designs detected between 15 and 21 QTL for the five traits. Of these, between 27 for silking date and 41% for tasseling date were significant in both groups. Favorable allelic effects detected in both groups open perspectives for improving biomass production.

Indexed as

Crosses, GeneticGenetic LinkageLinkage DisequilibriumQuantitative Trait LociAllelesChromosomes, PlantCluster AnalysisEvolution, MolecularGenetics, PopulationGenome, PlantHybridization, GeneticHybrid VigorPhenotypePolymorphism, Single NucleotideQuantitative Trait, HeritableZea maysallelic serieslinkage disequilibrium information with linkage analysis (LDLA)maize biomass productionMPPMultiparent Advanced Generation Inter-Cross (MAGIC)multiparental familiesmultiparental populationsQTL detection

Identifiers

PMID25271305
PMCPMC4256782

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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.