Evidence map›Paper›PMID 22908034›Full record

ArticleG3 (Bethesda, Md.)2012

Genome-wide association mapping in tomato (Solanum lycopersicum) is possible using genome admixture of Solanum lycopersicum var. cerasiforme.

Nicolas Ranc, Stephane Muños, Jiaxin Xu, Marie-Christine Le Paslier, Aurélie Chauveau, Rémi Bounon, Sophie Rolland, Jean-Paul Bouchet, Dominique Brunel, Mathilde Causse

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Article in G3 (Bethesda, Md.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

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0cells of the map it votes in
42citing papers in PubMed
–field-weighted citation impact
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2 · The registry

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3 · Its place in the literature

Who cites it

42 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Cultivated Tomato (Plants (Basel, Switzerland) · 2020
    Article
  12. Review
  13. Article
  14. Advances and Challenges in Bacterial Spot Resistance Breeding in Tomato (International journal of molecular sciences · 2020
    Review
  15. Article
  16. Article
  17. Review
  18. Bayesian QTL mapping using genome-wide SSR markers and segregating population derived from a cross of two commercial FTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  19. Article
  20. Article
4 · The record

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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.

Nicolas RancInstitut National de la Recherche Agronomique, UR1052, Unité de Génétique et Amélioration des Fruits et Légumes, Avignon, France.
Stephane Muños
Jiaxin Xu
Marie-Christine Le Paslier
Aurélie Chauveau
Rémi Bounon
Sophie Rolland
Jean-Paul Bouchet
Dominique Brunel
Mathilde Causse

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association mapping is an efficient way to identify quantitative trait loci controlling the variation of phenotypes, but the approach suffers severe limitations when one is studying inbred crops like cultivated tomato (Solanum lycopersicum). Such crops exhibit low rates of molecular polymorphism and high linkage disequilibrium, which reduces mapping resolution. The cherry type tomato (S. lycopersicum var. cerasiforme) genome has been described as an admixture between the cultivated tomato and its wild ancestor, S. pimpinellifolium. We have thus taken advantage of the properties of this admixture to improve the resolution of association mapping in tomato. As a proof of concept, we sequenced 81 DNA fragments distributed on chromosome 2 at different distances in a core collection of 90 tomato accessions, including mostly cherry type tomato accessions. The 81 Sequence Tag Sites revealed 352 SNPs and indels. Molecular diversity was greatest for S. pimpinellifolium accessions, intermediate for S. l. cerasiforme accessions, and lowest for the cultivated group. We assessed the structure of molecular polymorphism and the extent of linkage disequilibrium over genetic and physical distances. Linkage disequilibrium decreased under r(2) = 0.3 within 1 cM, and minimal estimated value (r(2) = 0.13) was reached within 20 kb over the physical regions studied. Associations between polymorphisms and fruit weight, locule number, and soluble solid content were detected. Several candidate genes and quantitative trait loci previously identified were validated and new associations detected. This study shows the advantages of using a collection of S. l. cerasiforme accessions to overcome the low resolution of association mapping in tomato.

Indexed as

Genome, PlantChromosomes, PlantFruitGenetic VariationGenome-Wide Association StudyLinkage DisequilibriumOpen Reading FramesPhenotypePolymorphism, Single NucleotideQuantitative Trait LociSequence Analysis, DNASolanum lycopersicumadmixtureassociation mappinglinkage disequilibriumtomato (Solanum lycopersicum)

Identifiers

PMID22908034
PMCPMC3411241

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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.