Evidence map›Paper›PMID 25311640›Full record

ArticleBMC genomics2014

Linkage disequilibrium and genome-wide association analysis for anthocyanin pigmentation and fruit color in eggplant.

Fabio Cericola, Ezio Portis, Sergio Lanteri, Laura Toppino, Lorenzo Barchi, Nazzareno Acciarri, Laura Pulcini, Tea Sala, Giuseppe Leonardo Rotino

Abstract read
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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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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

41 citing papers in PubMed.

  1. 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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  12. Mapping and validation of the epistaticHorticulture research · 2023
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  18. AInternational journal of molecular sciences · 2021
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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

9 authors.

Fabio Cericola
Ezio PortisDipartimento di Scienze Agrarie, Forestali e Alimentari (DISAFA) - Plant Genetics and Breeding, University of Torino, Largo P, Braccini 2, I-10095 Grugliasco, Torino, Italy. ezio.portis@unito.it.
Sergio Lanteri
Laura Toppino
Lorenzo Barchi
Nazzareno Acciarri
Laura Pulcini
Tea Sala
Giuseppe Leonardo Rotino

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe genome-wide association (GWA) approach represents an alternative to biparental linkage mapping for determining the genetic basis of trait variation. Both approaches rely on recombination to re-arrange the genome, and seek to establish correlations between phenotype and genotype. The major advantages of GWA lie in being able to sample a much wider range of the phenotypic and genotypic variation present, in being able to exploit multiple rounds of historical recombination in many different lineages and to include multiple accessions of direct relevance to crop improvement.

resultsA 191 accessions eggplant (Solanum melongena L.) association panel, comprising a mixture of breeding lines, old varieties and landrace selections originating from Asia and the Mediterranean Basin, was SNP genotyped and scored for anthocyanin pigmentation and fruit color at two locations over two years. The panel formed two major clusters, reflecting geographical provenance and fruit type. The global level of linkage disequilibrium was 3.4 cM. A mixed linear model appeared to be the most appropriate for GWA. A set of 56 SNP locus/phenotype associations was identified and the genomic regions harboring these loci were distributed over nine of the 12 eggplant chromosomes. The associations were compared with the location of known QTL for the same traits.

conclusionThe GWA mapping approach was effective in validating a number of established QTL and, thanks to the wide diversity captured by the panel, was able to detect a series of novel marker/trait associations.

Indexed as

GenomicsLinkage DisequilibriumAnthocyaninsChromosome MappingFruitGenome, PlantGenotypeMicrosatellite RepeatsPigmentationPolymorphism, Single NucleotideSolanum melongenaSyntenyAnthocyanins

Identifiers

PMID25311640
PMCPMC4210512

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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.