henhaobio
Sign in

bioRxivGenomicsPreprint

Multidimensional analysis of drought response in an inter-specific tomato population (ToMAGIC)

Oussama AntariD, Ana RiveraiD, Daniel Fenero Artaso, Lydia SerranoiD, Karen Alache, Aylin KabaşiD, Jon BančičiD, Mariola PlazasiD, Pietro GramazioiD, Jaime ProhensiD, Santiago VilanovaiD, Joan Casals

PDFDOI

Abstract

Drought stress poses a significant threat to agricultural productivity, particularly in regions with limited water availability. This study delves into the drought response in a multiparental interspecific tomato MAGIC population (ToMAGIC), developed by intercrossing Solanum pimpinellifolium (SP) and S. lycopersicum var. cerasiforme (SLC). A core collection of 139 recombinant lines, selected for their genetic diversity, was evaluated under both control and water stress conditions over two consecutive years. Phenotypic data were collected for 25 traits, including vegetative growth, flowering, fruit production, and physiological traits, providing a comprehensive assessment of drought response. Genome-wide association studies (GWAS) identified 15 significant genomic regions associated with drought response across eight chromosomes, highlighting key loci related to growth, earliness, fruit set, and physiological traits such as stomatal conductance and proline accumulation. Transgressive lines, such as S5_T_600 and S5_T_601, which exhibit enhanced drought resilience compared to the parental lines, were identified through genomic assisted selection, highlighting their potential as valuable breeding materials. The study emphasizes the importance of the ToMAGIC population in uncovering the polygenic nature of drought response. These findings offer valuable insights for developing drought-resilient tomato cultivars supporting agricultural sustainability in water-limited environments.

Citations
0

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISFlores-Saav '26Zhou '25Flores-Saav '26Wang '24Djemal '26Maina '21
75% semantic matchGenetics
Martín Flores-Saavedra, Jon Bančič, Yuliza Huaman+6 more·Theoretical and Applied Genetics·May 16, 2026· 2 citations