Evidence map›Paper›PMID 29420602›Full record

ArticlePloS one2018

Extended diversity analysis of cultivated grapevine Vitis vinifera with 10K genome-wide SNPs.

Valérie Laucou, Amandine Launay, Roberto Bacilieri, Thierry Lacombe, Anne-Françoise Adam-Blondon, Aurélie Bérard, Aurélie Chauveau, Maria Teresa de Andrés, Ludger Hausmann, Javier Ibáñez and 8 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
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  9. The genome ofHorticulture research · 2025
    Article
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  13. Article
  14. Haplotype-resolved genome assembly and implementation of VitExpress, an open interactive transcriptomic platform for grapevine.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Review
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  18. Article
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  20. Article

24 more citing papers are in PubMed but not listed here.

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

18 authors.

Valérie LaucouAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.ORCID 0000-0001-5311-785X
Amandine LaunayAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
Roberto BacilieriAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
Thierry LacombeAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
Anne-Françoise Adam-BlondonURGV, Univ Paris-Saclay, CNRS, INRA, Evry, France.
Aurélie BérardEPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France.
Aurélie ChauveauEPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France.
Maria Teresa de AndrésIMIDRA, Finca El Encín, Alcalá de Henares, Madrid, Spain.
Ludger HausmannJKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.ORCID 0000-0002-4046-9626
Javier IbáñezICVV, CSIC, Universidad de La Rioja, Gobierno de la Rioja, Logroño, Spain.ORCID 0000-0002-6286-5638
Marie-Christine Le PaslierEPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France.ORCID 0000-0002-9163-6631
David MaghradzeNational Wine Agency of Georgia, Tbilisi, Georgia.
José Miguel Martinez-ZapaterICVV, CSIC, Universidad de La Rioja, Gobierno de la Rioja, Logroño, Spain.ORCID 0000-0001-7217-4454
Erika MaulJKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Maharajah PonnaiahEPGV, Univ Paris-Saclay, CEA, IG-CNG, INRA, Evry, France.
Reinhard TöpferJKI, Institute for Grapevine Breeding Geilweilerhof, Siebeldingen, Germany.
Jean-Pierre PérosAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.
Jean-Michel BoursiquotAGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Grapevine is a very important crop species that is mainly cultivated worldwide for fruits, wine and juice. Identification of the genetic bases of performance traits through association mapping studies requires a precise knowledge of the available diversity and how this diversity is structured and varies across the whole genome. An 18k SNP genotyping array was evaluated on a panel of Vitis vinifera cultivars and we obtained a data set with no missing values for a total of 10207 SNPs and 783 different genotypes. The average inter-SNP spacing was ~47 kbp, the mean minor allele frequency (MAF) was 0.23 and the genetic diversity in the sample was high (He = 0.32). Fourteen SNPs, chosen from those with the highest MAF values, were sufficient to identify each genotype in the sample. Parentage analysis revealed 118 full parentages and 490 parent-offspring duos, thus confirming the close pedigree relationships within the cultivated grapevine. Structure analyses also confirmed the main divisions due to an eastern-western gradient and human usage (table vs. wine). Using a multivariate approach, we refined the structure and identified a total of eight clusters. Both the genetic diversity (He, 0.26-0.32) and linkage disequilibrium (LD, 28.8-58.2 kbp) varied between clusters. Despite the short span LD, we also identified some non-recombining haplotype blocks that may complicate association mapping. Finally, we performed a genome-wide association study that confirmed previous works and also identified new regions for important performance traits such as acidity. Taken together, all the results contribute to a better knowledge of the genetics of the cultivated grapevine.

Indexed as

Genome, PlantPolymorphism, Single NucleotideGenetic VariationGenome-Wide Association StudyLinkage DisequilibriumVitis

Identifiers

PMID29420602
PMCPMC5805323

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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.