Genome-wide association studies (GWAS) identify genes related to cherry size

13 Mar 2024
2430

Sweet cherry production in France has been in decline since the 1980s, influenced by climate change and biological pressures. Traditional selection is long and complex due to the prolonged juvenile stage and the complexity of polygenic traits, but advances in genetic research have identified key markers through quantitative locus mapping (QTL) and genome-wide association studies (GWAS).

However, genotyping by sequencing (GBS) is emerging as a cost-effective solution to analyse high-density SNPs and improve selection strategies.

'Horticulture Research' published in September 2023 a study entitled 'Genome-wide association mapping in a sweet cherry germplasm collection (Prunus avium L.) reveals candidate genes for fruit quality traits'. This study used a germplasm collection of 116 sweet cherry accessions to analyse 23 agronomic fruit quality traits over a period of 2-6 years, showing high phenotypic variation.

Subsequently, SNPs were analysed by GBS, and GWAS studies identified 65 unique SNP-trait associations for eight traits, including candidate genes in phytohormone, calcium and cell wall metabolisms. In order to identify colocalising SNP-trait associations for fruit quality traits, the researchers synthesised the results of this study and nine previous articles, identifying a total of 11 and 12 candidate genes for fruit size and fruit splitting traits.

The study's methodology characterised phenotypic variation, revealing high broad-spectrum heritability for many traits, suggesting a strong genetic component. GBS sequencing produced a rich set of SNPs, facilitating the identification of genetic associations between multiple traits. Analysis of population structure revealed distinct subpopulations, contributing to a deeper understanding of genetic diversity in the collection.

The identified SNP-tract associations, supported by a thorough literature review, improve the understanding of genetic control of fruit quality in sweet cherry. This knowledge is crucial for the development of marker-assisted selection strategies, accelerating selection efforts to meet consumer preferences and producer requirements by addressing the complexity of the genetic architecture of sweet cherry and its impact on fruit quality traits.

Image 1: Pearson correlation matrix of the 23 studied traits. 

Read the full article: EurekAlert!
Image: Horticulture Research


Cherry Times - All rights reserved

What to read next

Hot water treatments (HWT) as an alternative for sweet cherry storage and quality

Post-harvest​

28 Jun 2024

The study conducted by C. Aubert and colleagues from the Centre Technique Interprofessionnel des Fruits et Légumes (France) investigates the impact of hot water treatments (HWT) on the quality and preservation of sweet cherries, focusing on two cultivars: Balrine and Regina.

Harvista™ revolutionizes Argentine cherries: higher yields, better quality and shelf life

Tech management

22 Jul 2025

Harvista™ 1.3 SC is AgroFresh's new pre-harvest solution approved in Argentina for cherries. It extends the pollination window, improves fruit set, and enhances both yield and quality, meeting the demands of a rapidly growing and quality-driven global market.

In evidenza

Peruvian cherries: a new value proposition for agricultural exports to Asia

Production

02 Jun 2026

Peruvian cherries are emerging as a premium export opportunity for China and Asia, supported by early harvests, Chancay logistics and new production areas such as Arequipa, Junín, Cusco and Áncash, strengthening Peru’s agricultural export strategy and trade positioning.

Lizard skin: how does this condition affect the appearance of the main varieties?

Post-harvest​

01 Jun 2026

Lizard skin in cherries affects fruit appearance during cold storage and export transit. The Chilean study compares varieties, ripening stages and postharvest behavior, identifying the cultivars most exposed to damage, the most tolerant ones and key risks for local exports.

Tag Popolari