Evidence map›Paper›PMID 27005772›Full record

ArticleBMC plant biology2016

Genetic diversity, linkage disequilibrium and power of a large grapevine (Vitis vinifera L) diversity panel newly designed for association studies.

Stéphane D Nicolas, Jean-Pierre Péros, Thierry Lacombe, Amandine Launay, Marie-Christine Le Paslier, Aurélie Bérard, Brigitte Mangin, Sophie Valière, Frédéric Martins, Loïc Le Cunff and 6 more

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Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Article
  2. Unveiling the genetic architecture of stripe rust resistance in wheat: a region-specific GWAS in Xinjiang, China.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
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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

16 authors.

Stéphane D NicolasINRA, UMR AGAP, F-34060, Montpellier, France.
Jean-Pierre PérosINRA, UMR AGAP, F-34060, Montpellier, France.
Thierry LacombeINRA, UMR AGAP, F-34060, Montpellier, France.
Amandine LaunayINRA, UMR AGAP, F-34060, Montpellier, France.
Marie-Christine Le PaslierINRA, US1279 EPGV, CEA-IG/CNG, F-91057, Evry, France.
Aurélie BérardINRA, US1279 EPGV, CEA-IG/CNG, F-91057, Evry, France.
Brigitte ManginINRA, UR MIAT, F-31326, Castanet-Tolosan, France.
Sophie ValièreINRA, Plateforme Génomique, F-31326, Castanet-Tolosan, France.
Frédéric MartinsINRA, Plateforme Génomique, F-31326, Castanet-Tolosan, France.
Loïc Le CunffIFV, UMT Genovigne, F-34060, Montpellier, France.
Valérie LaucouINRA, UMR AGAP, F-34060, Montpellier, France.
Roberto BacilieriINRA, UMR AGAP, F-34060, Montpellier, France.
Alexis DereeperINRA, UMR AGAP, F-34060, Montpellier, France.
Philippe ChateletINRA, UMR AGAP, F-34060, Montpellier, France.
Patrice ThisINRA, UMR AGAP, F-34060, Montpellier, France.
Agnès DoligezINRA, UMR AGAP, F-34060, Montpellier, France. doligez@supagro.inra.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs for many crops, new high-quality grapevine varieties requiring less pesticide and adapted to climate change are needed. In perennial species, breeding is a long process which can be speeded up by gaining knowledge about quantitative trait loci linked to agronomic traits variation. However, due to the long juvenile period of these species, establishing numerous highly recombinant populations for high resolution mapping is both costly and time-consuming. Genome wide association studies in germplasm panels is an alternative method of choice, since it allows identifying the main quantitative trait loci with high resolution by exploiting past recombination events between cultivars. Such studies require adequate panel design to represent most of the available genetic and phenotypic diversity. Assessing linkage disequilibrium extent and panel power is also needed to determine the marker density required for association studies.

resultsStarting from the largest grapevine collection worldwide maintained in Vassal (France), we designed a diversity panel of 279 cultivars with limited relatedness, reflecting the low structuration in three genetic pools resulting from different uses (table vs wine) and geographical origin (East vs West), and including the major founders of modern cultivars. With 20 simple sequence repeat markers and five quantitative traits, we showed that our panel adequately captured most of the genetic and phenotypic diversity existing within the entire Vassal collection. To assess linkage disequilibrium extent and panel power, we genotyped single nucleotide polymorphisms: 372 over four genomic regions and 129 distributed over the whole genome. Linkage disequilibrium, measured by correlation corrected for kinship, reached 0.2 for a physical distance between 9 and 458 Kb depending on genetic pool and genomic region, with varying size of linkage disequilibrium blocks. This panel achieved reasonable power to detect associations between traits with high broad-sense heritability (> 0.7) and causal loci with intermediate allelic frequency and strong effect (explaining > 10 % of total variance).

conclusionsOur association panel constitutes a new, highly valuable resource for genetic association studies in grapevine, and deserves dissemination to diverse field and greenhouse trials to gain more insight into the genetic control of many agronomic traits and their interaction with the environment.

Indexed as

Genetic VariationGenes, PlantGenetic MarkersGenome-Wide Association StudyGenotypeLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideSpecies SpecificityVitisGenetic MarkersAssociation panelGenome-wide association studiesHaplotypeKinshipLinkage disequilibriumPowerSNPSSRsylvestrisVassal collectionVitis

Identifiers

PMID27005772
PMCPMC4802926

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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.