About this Research Topic
Several decades of studies have demonstrated the complexity of molecular mechanisms that plants employ to perceive and respond to the ever-changing environments; and have highlighted the need for large-scale data analysis, integration, and comparison of multiple relating data sets, as well as for combining multidisciplinary approaches to tackle these complex problems. In parallel, recent technological developments and improvements have now allowed the acquisition of high-throughput phenotypic, physiological, transcriptomic, epigenomic, and microscopic data. There is now an unprecedented opportunity to combine expertise from different fields towards developing and implementing new experimental and analytical approaches to provide better insights into how plants perceive, respond, and adapt to environmental changes. This, will in turn pave the way for the rational design and development of crops that are resilient to various stresses associated with climate change.
This Research Topic welcomes Reviews, Original Research, and Methods articles providing new insights of the plant responses to both mild/steady, as well as extreme/sudden environmental changes, using multi-disciplinary research, will be considered
• Temperature changes due to climate change
• Drought and flooding
• Rising atmospheric CO2 concentration
• High salinity and chemical toxicity resulting from climate change
• A combination and/or interplay of multiple factors (e.g. heat and drought)
Multi-disciplinary approaches are expected to include but not limited to:
• Mathematical modeling
• Machine learning
• Omics approaches such as RNA-seq, ChIP-seq, ATAC-seq, and proteomics
• Bioinformatics
• High-throughput phenotyping
• High-resolution and quantitative imaging, or live imaging
Please note that descriptive studies that merely report plant responses to climate changes will not be considered if they do not progress the understanding of the physiological and/or gene expression responses to the environmental changes.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Keywords: Climate change, Interdisciplinary research, Omics, Mathematical modeling, Machine learning, Bioinformatics, High-throughput phenotyping, Live imaging
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.