Browse Articles

Article|03 Jan 2024|OPEN
Dissecting the complex genetic basis of pre- and post-harvest traits in Vitis vinifera L. using genome-wide association studies
Julian García-Abadillo1 , ,† , Paola Barba2,3 , ,† , Tiago Carvalho6 , Viviana Sosa-Zuñiga4 , Roberto Lozano5 , Humberto Fanelli Carvalho1 , Miguel Garcia-Rojas2 and Erika Salazar2 , Julio Isidro y Sánchez,1 , ,†
1Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM) - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), Campus de Montegancedo - Pozuelo de Alarcón, 28223, Madrid, Spain
2Genetic Resources Unit and Germplasm Bank, La Platina, Instituto de Investigaciones Agropecuarias, Av Santa Rosa 11610, La pintana, Santiago, Chile
3Sun World International, 28994 Gromer Av, Wasco, 93280, California, USA
4Instituto de Ciencias Químicas y Aplicadas (ICQA), Universidad Autónoma de Chile, El Llano Subercaseaux 2801, Santiago, Chile
5Ginkgo Bioworks, Boston, Massachusetts, USA
6Freelance, Madrid, Spain
*Corresponding author. E-mail: j.gvelasco@upm.es,pbarba@sun-world.com,j.isidro@upm.es
Julian García-Abadillo,Paola Barba,Julio Isidro y Sánchez contributed equally to the study.

Horticulture Research 11,
Article number: uhad283 (2024)
doi: https://doi.org/10.1093/hr/uhad283
Views: 100

Received: 16 May 2023
Accepted: 17 Dec 2023
Published online: 03 Jan 2024

Abstract

Addressing the pressing challenges in agriculture necessitates swift advancements in breeding programs, particularly for perennial crops like grapevines. Moving beyond the traditional biparental quantitative trait loci (QTL) mapping, we conducted a genome-wide association study (GWAS) encompassing 588 Vitis vinifera L. cultivars from a Chilean breeding program, spanning three seasons and testing 13 key yield-related traits. A strong candidate gene, Vitvi11g000454, located on chromosome 11 and related to plant response to biotic and abiotic stresses through jasmonic acid signaling, was associated with berry width and holds potential for enhancing berry size in grape breeding. We also mapped novel QTL associated with post-harvest traits across chromosomes 2, 4, 9, 11, 15, 18, and 19, broadening our grasp on the genetic intricacies dictating fruit post-harvest behavior, including decay, shriveling, and weight loss. Leveraging gene ontology annotations, we drew parallels between traits and scrutinized candidate genes, laying a robust groundwork for future trait-feature identification endeavors in plant breeding. We also highlighted the importance of carefully considering the choice of the response variable in GWAS analyses, as the use of best linear unbiased estimators (BLUEs) corrections in our study may have led to the suppression of some common QTL in grapevine traits. Our results underscore the imperative of pioneering non-destructive evaluation techniques for long-term conservation traits, offering grape breeders and cultivators insights to improve post-harvest table grape quality and minimize waste.