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

Research Project

Project/Area Number 20K04751
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 22060:Environmental systems for civil engineering-related
Research InstitutionEhime University

Principal Investigator

ガンボア・メンデス マリベット・アリアナ  愛媛大学, 理工学研究科(工学系), 助教 (30849477)

Co-Investigator(Kenkyū-buntansha) 渡辺 幸三  愛媛大学, 沿岸環境科学研究センター, 教授 (80634435)
Project Period (FY) 2020-04-01 – 2021-03-31
Project Status Discontinued (Fiscal Year 2020)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2021: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
KeywordsEnvironmental / Engineering / Evolution / Adaptation / Freshwater biology / adaptation / freshwater / climatic change / genetics / proteomics
Outline of Research at the Start

Evolutionary adaptation to environmental conditions can occur through genetic mutations in DNA sequences and select protein expression among organisms. Despite genetic mutations has been observed, studies combining genetics and proteomics remains poor. Here, we propose to investigate the genetic mutations associated with physiological responses of aquatic organisms to environmental conditions by gene-protein interaction. This project will improve our understanding of evolutionary interactions on multiple freshwater organisms that can be used to predict responses to future environmental change.

Outline of Annual Research Achievements

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.

Report

(1 results)
  • 2020 Annual Research Report
  • Research Products

    (2 results)

All 2020

All Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (1 results) (of which Int'l Joint Research: 1 results)

  • [Journal Article] Gene expression changes of seven stonefly species in responses to a latitudinal-environmental gradient2020

    • Author(s)
      Maribet Gamboa, Yusuke Gotoh, Arnelyn D. Doloriras-Larano, Kozo Watanabe
    • Journal Title

      Biorxiv

      Volume: 10.1101 Pages: 1-39

    • DOI

      10.1101/2020.09.22.309179

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Presentation] Gene expression changes of seven stonefly species in responses to a latitudinal-environmental gradient2020

    • Author(s)
      Maribet Gamboa
    • Organizer
      The Water and Environmental Technology conference (WET2020-online)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research

URL: 

Published: 2020-04-28   Modified: 2021-12-27  

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