| 研究実績の概要 |
The funding support partially the work for identifying the physiological and genomic basis of local adaptation using a combination of genomics techniques. We were able to complete previous work by analyzing gene expression data leading to a first-time enhanced understanding of adaptation in freshwater insect species using multi-species analysis. We conducted statistical analysis on RNA-seq data obtained applying Next-generation of sequencing technology, by a combination of R program libraries and detected gene expression among species along a latitudinal gradient. The result of the project led to detect stress responses of multiple aquatic species due to changes in environmental conditions. The physiological responses detected could be used to predict future environmental change. Notably, our study could serve as a framework for future work on integrating temporary data to further investigate gene-ecosystem models that could improve ecosystem and climate policies. We planned to continue gathering data and collecting more insects in the freshwater ecosystems to resolve the long-term temporal dynamics of gene expression profiles among these stonefly species to improve our understanding of the contributions of gene expression changes within the context of environmental changes.
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