研究課題/領域番号 |
22F21392
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配分区分 | 補助金 |
研究機関 | 九州大学 |
研究代表者 |
丸山 宗利 九州大学, 総合研究博物館, 准教授 (80512186)
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研究分担者 |
LIANG WEI-REN 九州大学, 総合研究博物館, 外国人特別研究員
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研究期間 (年度) |
2022-04-22 – 2024-03-31
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キーワード | Social insect / Myrmecophile / Termitophile / Micro-CT |
研究実績の概要 |
This research describes the development of a practical comparative workflow to investigate the life-histories and symbiotic strategies of social insect symbionts using a non-destructive high-resolution micro-CT. We have selected a set of indicator traits and tested their performance for micro-CT imaging to determine their significance as indicators. This research indicates promising results, and we are currently in the process of selecting a set of suitable indicators to apply to a wide range of rare symbiont taxa. The study aims to provide researchers with valuable tools to investigate social insect symbionts, fill knowledge gaps in their ecology, and develop simulation models to answer specific questions related to their symbiotic ecology.
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
This research describes the development of a practical comparative workflow to investigate the life-histories and symbiotic strategies of social insect symbionts using a non-destructive high-resolution micro-CT. We have selected a set of indicator traits and tested their performance for micro-CT imaging to determine their significance as indicators. This research indicates promising results, and we are currently in the process of selecting a set of suitable indicators to apply to a wide range of rare symbiont taxa. The study aims to provide researchers with valuable tools to investigate social insect symbionts, fill knowledge gaps in their ecology, and develop simulation models to answer specific questions related to their symbiotic ecology.
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今後の研究の推進方策 |
Moving forward, our plan is to continue developing a practical methodology for investigating the enigmatic ecology of social insect symbiont based on X-ray micro-CT. We will create a comprehensive publicly accessible database 3D models of all functional traits examined. Using this database, we will build a predictive model of the symbiont's life-history and symbiotic strategy, applying selected indicators to a wide range of rare symbiont taxa. Our goal is to gain biological data to use in simulation models to answer specific questions related to the symbiotic ecology of myrmecophilous and termitophilous species. In summary, our future work aims to provide a valuable tool for researchers, fill knowledge gaps in social insect symbionts, and expand our understanding of their ecology.
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