A reconstruction of networks in freshwater ecosystems using genomics and proteomics to assess the strength of vulnerability to climatic change of aquatic insects

利用基因组学和蛋白质组学重建淡水生态系统网络，以评估水生昆虫对气候变化的脆弱性强度

基本信息

批准号：
20K04751
负责人：
ガンボア・メンデスマリベット・アリアナ
金额：
$ 2.75万
依托单位：
Ehime University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2020
资助国家：
日本
起止时间：
2020-04-01 至 2021-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-20K04751/
关键词：
Environmental Engineering Evolution Adaptation Freshwater biology adaptation freshwater climatic change genetics proteomics

项目摘要

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.

资金部分支持了使用基因组技术组合来识别局部适应的生理和基因组基础的工作。我们能够通过分析基因表达数据来完成以前的工作，从而通过使用多种物种分析来提高对淡水昆虫物种适应性的了解。我们通过R程序库的组合和沿纬度梯度沿着物种之间检测到的基因表达进行了对测序技术下一代的RNA-seq数据进行统计分析。该项目的结果导致由于环境条件的变化而检测到多种水生物种的压力反应。检测到的生理反应可用于预测未来的环境变化。值得注意的是，我们的研究可以作为将临时数据集成以进一步研究可以改善生态系统和气候政策的基因生态系统模型的未来工作的框架。我们计划继续收集数据并收集淡水生态系统中的更多昆虫，以解决这些石蝇物种之间基因表达谱的长期时间动态，以提高我们对环境变化背景下基因表达变化的贡献的理解。