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Theoretical consideration of plant biodiversity effects driven by inter-genotypic interactions

Research Project

Project/Area Number 20K15880
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 45040:Ecology and environment-related
Research InstitutionRyukoku University

Principal Investigator

Sato Yasuhiro  龍谷大学, 公私立大学の部局等, 研究員 (10777949)

Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2021: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2020: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords遺伝的多様性 / 選択勾配分析 / 頻度依存選択 / ゲノムワイド関連解析 / 進化生態学 / 生態遺伝学 / QTLマッピング / 動植物間相互作用 / 生物情報学 / 遺伝統計学
Outline of Research at the Start

遺伝的に多様な植物集団ほど高い生態系サービスをもたらすことが野外実験で明らかにされてきた。近年、実験技術の発展によって、多様性効果をもたらす遺伝子群の特定が進んでいる。しかし、遺伝子の多様性から集団全体の多様性効果を予測するためのモデルは未だない。本研究では、遺伝的基盤が多様性効果に与える影響を明らかにするために、個体間相互作用を組み込んだゲノムワイド関連解析(GWAS)を拡張したシミュレーションモデルを構築する。

Outline of Final Research Achievements

Positive interactions among plant individuals provide favorable ecosystem services, such as increased productivity, the maintenance of arthropod species diversity, and the suppression of pest outbreaks. To elucidate the genetic basis of positive plant-plant interactions, we applied genome-wide association study incorporating inter-individual interactions to theoretically clarify the conditions under which genetic polymorphisms are maintained and mean population fitness is increased. Furthermore, by considering two types of spatial structure, namely, split subpopulations and a two-dimensional continuous space, we developed a regression model that can be applied to genetic polymorphisms not only in plants but also in animals. All these results have been published as a peer-reviewed article and its accompanying supplementary materials (Sato et al. 2023 Evolution).

Academic Significance and Societal Importance of the Research Achievements

種内の遺伝的多様性は種多様性や生態系の多様性と並んで生物多様性を成す要素の1つであるものの、その重要性は他2つに比べて社会的な認知が遅れている(例えばLaikre et al. 2020 Scienceなど参照)。本成果は、どのようなときに遺伝的多様性を維持することが有益であるかを基礎のレベルから明らかにした。さらに、これらの学術的基礎を実際のゲノムワイドな多型データに応用できる形に実装した点において、社会的課題への応用に対しても意義があると言えるだろう。

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (12 results)

All 2023 2022 2021 Other

All Int'l Joint Research (1 results) Journal Article (4 results) (of which Int'l Joint Research: 2 results,  Open Access: 4 results,  Peer Reviewed: 3 results) Presentation (4 results) (of which Int'l Joint Research: 2 results,  Invited: 1 results) Remarks (3 results)

  • [Int'l Joint Research] University of Zurich(スイス)

    • Related Report
      2022 Annual Research Report
  • [Journal Article] Detecting frequency-dependent selection through the effects of genotype similarity on fitness components2023

    • Author(s)
      Sato Yasuhiro、Takahashi Yuma、Xu Chongmeng、Shimizu Kentaro K
    • Journal Title

      Evolution

      Volume: 77 Issue: 4 Pages: 1145-1157

    • DOI

      10.1093/evolut/qpad028

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Detecting frequency-dependent selection through the effects of genotype similarity on fitness components2022

    • Author(s)
      Sato Yasuhiro、Takahashi Yuma、Xu Chongmeng、Shimizu Kentaro K.
    • Journal Title

      bioRxiv

      Volume: 502782 Pages: 502782-502782

    • DOI

      10.1101/2022.08.10.502782

    • Related Report
      2022 Annual Research Report
    • Open Access / Int'l Joint Research
  • [Journal Article] Using a two-stage convolutional neural network to rapidly identify tiny herbivorous beetles in the field2021

    • Author(s)
      Takimoto Hironori、Sato Yasuhiro、Nagano Atsushi J.、Shimizu Kentaro K.、Kanagawa Akihiro
    • Journal Title

      Ecological Informatics

      Volume: 66 Pages: 101466-101466

    • DOI

      10.1016/j.ecoinf.2021.101466

    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Neighbor QTL: an interval mapping method for quantitative trait loci underlying plant neighborhood effects2021

    • Author(s)
      Sato Yasuhiro、Takeda Kazuya、Nagano Atsushi J
    • Journal Title

      G3 Genes|Genomes|Genetics

      Volume: 11 Issue: 2

    • DOI

      10.1093/g3journal/jkab017

    • Related Report
      2020 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] Keystone genotype pairs increase plant resistance to herbivory.2023

    • Author(s)
      Sato Y, Shimizu-Inatsugi R, Takeda K, Nagano AJ, Shimizu KK
    • Organizer
      Gordon Research Conference: Plant-Herbivore Interaction 2023
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detecting frequency-dependent selection using a genetic marker regression of fitness components.2022

    • Author(s)
      Sato Y, Takahashi Y, Xu C, Shimizu KK
    • Organizer
      The 2022 Congress of the European Society for Evolutionary Biology
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 正の連合効果をもたらす植物のゲノム基盤とその拡張可能性2022

    • Author(s)
      佐藤安弘
    • Organizer
      第69回日本生態学会大会
    • Related Report
      2021 Research-status Report
    • Invited
  • [Presentation] 近傍個体を考慮したQTL解析の開発と虫害への応用2021

    • Author(s)
      佐藤安弘、武田和也、永野惇
    • Organizer
      第68回日本生態学会大会
    • Related Report
      2020 Research-status Report
  • [Remarks] Vignette: Regression model of FDS

    • URL

      https://yassato.github.io/RegressionFDS/

    • Related Report
      2022 Annual Research Report
  • [Remarks] Dryad Dataset from Sato et al. (2023) Evolution

    • URL

      https://doi.org/10.5061/dryad.zs7h44jdv

    • Related Report
      2022 Annual Research Report
  • [Remarks] rNeighborQTL package

    • URL

      https://cran.r-project.org/package=rNeighborQTL

    • Related Report
      2020 Research-status Report

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Published: 2020-04-28   Modified: 2024-01-30  

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