Abstract
At times of rapid global climatic changes, refining drought tolerance in tomatoes is a demanding concern. Drought-resistant wild tomato relatives offer a valued resource for studying drought response mechanisms and leveraging them for breeding. To understand drought-response mechanisms in Solanum, we performed an integrated gene expression, transcription factor (TF), and network-based analysis in wild (Solanum pimpinellifolium L.) and cultivated (Solanum lycopersicum L.) tomato species with differing drought tolerance. This integrated analysis unveiled distinct gene expression patterns under drought stress in both species. Ethylene-responsive factors (ERFs) were notably the most significantly expressed transcription factors in both varieties. Additionally, species-specific TF expression was observed, such as Ethylene Insensitive3-like (EIL) and MIKC_MADS in the wild type, and Zinc Finger homeodomain (ZF-HD) in the cultivated variety. Differential expression pattern in ROS rummaging and heat shock proteins was observed in the top DEGs of both species. Network analysis highlighted shared genes involved in crucial pathways like jasmonic acid biosynthesis, the protein kinase pathway, and reactive oxygen species foraging in both species. Notably, the wild variety showed altered expression of genes associated with jasmonic acid/ethylene biosynthesis, antioxidant response, heat shock proteins, and cell wall remodeling. These observations offer insights into the differences in drought response in both species and suggest the role of jasmonic acid/ethylene biosynthesis, antioxidant response and ROS scavenging as significant factors contributing to improved drought tolerance in S. pimpinellifolium.
Article Highlights
The study explores drought response in Solanum pimpinellifolium (wild) and Solanum lycopersicum (cultivated) varieties.
Gene expression, transcription factor, and network analysis revealed key differences during drought response.
The results will aid in crop breeding research focused on improving drought tolerance
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Details
1 Pondicherry University, Department of Bioinformatics, School of Life Sciences, Puducherry, India (GRID:grid.412517.4) (ISNI:0000 0001 2152 9956)