Evidence map›Paper›PMID 23711327›Full record

ArticleBMC genomics2013

Tomato breeding in the genomics era: insights from a SNP array.

Marcela Víquez-Zamora, Ben Vosman, Henri van de Geest, Arnaud Bovy, Richard G F Visser, Richard Finkers, Adriaan W van Heusden

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Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

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28citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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

  1. Pooled it
  2. Review
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  7. First genetic maps development and QTL mining inFrontiers in plant science · 2022
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  11. Whole-Genome Resequencing of Seven Eggplant (Frontiers in plant science · 2019
    Article
  12. Article
  13. Red Clover (Frontiers in plant science · 2018
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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

7 authors.

Marcela Víquez-ZamoraWageningen UR Plant Breeding, Wageningen, The Netherlands.
Ben Vosman
Henri van de Geest
Arnaud Bovy
Richard G F Visser
Richard Finkers
Adriaan W van Heusden

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe major bottle neck in genetic and linkage studies in tomato has been the lack of a sufficient number of molecular markers. This has radically changed with the application of next generation sequencing and high throughput genotyping. A set of 6000 SNPs was identified and 5528 of them were used to evaluate tomato germplasm at the level of species, varieties and segregating populations.

resultsFrom the 5528 SNPs, 1980 originated from 454-sequencing, 3495 from Illumina Solexa sequencing and 53 were additional known markers. Genotyping different tomato samples allowed the evaluation of the level of heterozygosity and introgressions among commercial varieties. Cherry tomatoes were especially different from round/beefs in chromosomes 4, 5 and 12. We were able to identify a set of 750 unique markers distinguishing S. lycopersicum 'Moneymaker' from all its distantly related wild relatives. Clustering and neighbour joining analysis among varieties and species showed expected grouping patterns, with S. pimpinellifolium as the most closely related to commercial tomatoes earlier results.

conclusionsOur results show that a SNP search in only a few breeding lines already provides generally applicable markers in tomato and its wild relatives. It also shows that the Illumina bead array generated data are highly reproducible. Our SNPs can roughly be divided in two categories: SNPs of which both forms are present in the wild relatives and in domesticated tomatoes (originating from common ancestors) and SNPs unique for the domesticated tomato (originating from after the domestication event). The SNPs can be used for genotyping, identification of varieties, comparison of genetic and physical linkage maps and to confirm (phylogenetic) relations. In the SNPs used for the array there is hardly any overlap with the SolCAP array and it is strongly recommended to combine both SNP sets and to select a core collection of robust SNPs completely covering the entire tomato genome.

Indexed as

BreedingGenomicsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideChromosome MappingGerm CellsHybridization, GeneticPhylogenySolanum lycopersicumSpecies Specificity

Identifiers

PMID23711327
PMCPMC3680325

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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.