Understanding how plants adapt their physiology to overcome severe and often multifactorial stress conditions in nature is vital in light of the climate crisis. This remains a challenge given the complex nature of the underlying molecular mechanisms. To provide a comprehensive picture of stress-mitigation mechanisms, an exhaustive analysis of publicly available stress-related transcriptomic data has been conducted. We combine a meta-analysis with an unsupervised machine-learning algorithm to identify a core of stress-related genes active at 1-6 h and 12-24 h of exposure in Arabidopsis thaliana shoots and roots. To ensure robustness and biological significance of the output, often lacking in meta-analyses, a triple validation is incorporated. We present a 'stress gene core': a set of key genes involved in plant tolerance to ten adverse environmental conditions and ethylene-precursor supplementation rather than individual conditions. Notably, ethylene plays a key regulatory role in this core, influencing gene expression and acting as a critical factor in stress tolerance. Additionally, the analysis provides insights into previously uncharacterized genes, key genes within large families, and gene expression dynamics, which are used to create biologically validated databases that can guide further abiotic stress research. These findings establish a strong framework for advancing multi-stress-resilient crops, paving the way for sustainable agriculture in the face of climate challenges.

• MeSH
• Arabidopsis * genetika   fyziologie   metabolismus   MeSH
• ethyleny * metabolismus   MeSH
• fyziologický stres * genetika   MeSH
• kořeny rostlin genetika   metabolismus   MeSH
• proteiny huseníčku genetika   metabolismus   MeSH
• regulace genové exprese u rostlin MeSH
• stanovení celkové genové exprese MeSH
• strojové učení * MeSH
• transkriptom MeSH
• výhonky rostlin genetika   metabolismus   MeSH
• Publikační typ
• časopisecké články MeSH
• metaanalýza MeSH
• Názvy látek
• ethylene MeSH Prohlížeč
• ethyleny * MeSH
• proteiny huseníčku MeSH

Expansins are cell wall-modifying proteins implicated in plant growth and stress responses. In this study, we explored the differential localization of expansins in Arabidopsis thaliana shoots, with a focus on EXPA1, EXPA10, EXPA14, and EXPA15 utilizing pEXPA::EXPA translational fusion lines. Employing the chemically inducible system pOp6/LhGR for EXPA1 overexpression and high-throughput automatic phenotyping we evaluated the drought response and photosynthetic efficiency under stress conditions. We observed distinct expression patterns of expansins, with EXPA1 primarily localized in stomatal guard cells, while EXPA10 and EXPA15 showed strong cell wall (CW) localization in epidermal and other tissues. Overexpression of EXPA1 resulted in pronounced changes in CW-related gene expression, particularly during early stages of induction, including the upregulation of other expansins and CW-modifying enzymes. The induced EXPA1 line also displayed significant morphological changes in shoots, including smaller plant size, delayed senescence, and structural alterations in vascular tissues. Additionally, EXPA1 overexpression conferred drought tolerance, as evidenced by enhanced photosynthetic efficiency (Fv/FM), and low steady-state non-photochemical quenching (NPQ) values under drought stress. These findings highlight the critical role of EXPA1 in regulating plant growth, development, and stress response, with potential applications in improving drought tolerance in crops.

• Klíčová slova
• Arabidopsis, EXPA, abiotic stress, cell wall, highthroughput phenotyping,
• Publikační typ
• časopisecké články MeSH