Machine-learning meta-analysis reveals ethylene as a central component of the molecular core in abiotic stress responses in Arabidopsis
Jazyk angličtina Země Velká Británie, Anglie Médium electronic
Typ dokumentu časopisecké články, metaanalýza
Grantová podpora
G032717N
Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders)
G082421N
Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders)
1288923N
Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders)
BOF-BAS
Universiteit Gent (UGent)
PubMed
40404615
PubMed Central
PMC12098884
DOI
10.1038/s41467-025-59542-3
PII: 10.1038/s41467-025-59542-3
Knihovny.cz E-zdroje
- 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
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.
CEITEC Central European Institute of Technology Masaryk University Brno Czech Republic
Department of Agri Food Engineering and Biotechnology Castelldefels 08860 Barcelona Spain
Department of Experimental Biology Faculty of Science Masaryk University Brno Czech Republic
Institute of Industrial and Control Engineering Barcelona 08028 Spain
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