Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family

Matteo Martina; Valeria De Rosa; Gabriele Magon; Alberto Acquadro; Lorenzo Barchi; Gianni Barcaccia; Emanuele De Paoli; Alessandro Vannozzi; Ezio Portis

doi:10.3389/fpls.2024.1278760

Revitalizing agriculture: next-generation genotyping and -omics technologies enabling molecular prediction of resilient traits in the Solanaceae family

Front Plant Sci. 2024 Feb 5:15:1278760. doi: 10.3389/fpls.2024.1278760. eCollection 2024.

Authors

Affiliations

¹ Department of Agricultural, Forest and Food Sciences (DISAFA), Plant Genetics, University of Torino, Grugliasco, Italy.
² Department of Agricultural, Food, Environmental and Animal Sciences (DI4A), University of Udine, Udine, Italy.
³ Department of Agronomy, Food, Natural Resources, Animals and Environment (DAFNAE), Laboratory of Plant Genetics and Breeding, University of Padua, Legnaro, Italy.

^# Contributed equally.

Abstract

This review highlights -omics research in Solanaceae family, with a particular focus on resilient traits. Extensive research has enriched our understanding of Solanaceae genomics and genetics, with historical varietal development mainly focusing on disease resistance and cultivar improvement but shifting the emphasis towards unveiling resilience mechanisms in genebank-preserved germplasm is nowadays crucial. Collecting such information, might help researchers and breeders developing new experimental design, providing an overview of the state of the art of the most advanced approaches for the identification of the genetic elements laying behind resilience. Building this starting point, we aim at providing a useful tool for tackling the global agricultural resilience goals in these crops.

Keywords: biotic and abiotic resistance; eggplant; genetic resources; genomic resources; pepper; potato; resilient traits; tomato.

Publication types

Review

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The overall work fulfils some goals of the Agritech National Research Center and received funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)–MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4—D.D. 1032 17/06/2022, CN00000022). In particular, this study represents a review paper within Spoke 4 (Task4.1.1.) ‘Next-generation genotyping and -omics technologies for the molecular prediction of multiple resilient traits in crop plants’.