Evidence map›Paper›PMID 38419968›Full record

ArticleHorticulture research2024

Genomic analysis of fruit size and shape traits in apple: unveiling candidate genes through GWAS analysis.

Christian Dujak, Veredas Coleto-Alcudia, Maria José Aranzana

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Article in Horticulture research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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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

3 authors.

Christian DujakCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UABUB, Plant and Animal Genomics, Campus UAB, 08193 Bellaterra, Barcelona, Spain.
Veredas Coleto-AlcudiaCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UABUB, Plant and Animal Genomics, Campus UAB, 08193 Bellaterra, Barcelona, Spain.
Maria José AranzanaCentre for Research in Agricultural Genomics (CRAG) CSIC-IRTA-UABUB, Plant and Animal Genomics, Campus UAB, 08193 Bellaterra, Barcelona, Spain.ORCID https://orcid.org/0000-0002-0240-8021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic tools facilitate the efficient selection of improved genetic materials within a breeding program. Here, we focus on two apple fruit quality traits: shape and size. We utilized data from 11 fruit morphology parameters gathered across three years of harvest from 355 genotypes of the apple REFPOP collection, which serves as a representative sample of the genetic variability present in European-cultivated apples. The data were then employed for genome-wide association studies (GWAS) using the FarmCPU and the BLINK models. The analysis identified 59 SNPs associated with fruit size and shape traits (35 with FarmCPU and 45 with BLINK) responsible for 71 QTNs. These QTNs were distributed across all chromosomes except for chromosomes 10 and 15. Thirty-four QTNs, identified by 27 SNPs, were related for size traits, and 37 QTNs, identified by 26 SNPs, were related to shape attributes. The definition of the haploblocks containing the most relevant SNPs served to propose candidate genes, among them the genes of the ovate family protein MdOFP17 and MdOFP4 that were in a 9.7kb haploblock on Chromosome 11. RNA-seq data revealed low or null expression of these genes in the oblong cultivar "Skovfoged" and higher expression in the flat "Grand'mere." The Gene Ontology enrichment analysis support a role of OFPs and hormones in shape regulation. In conclusion, this comprehensive GWAS analysis of the apple REFPOP collection has revealed promising genetic markers and candidate genes associated with apple fruit shape and size attributes, providing valuable insights that could enhance the efficiency of future breeding programs.

Identifiers

PMID38419968
PMCPMC10901474

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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.