2021 Fiscal Year Final Research Report
Where and when do abalone spawn?: effect of the hydrgen peroxide in the atmosphereon spanwing
| Project/Area Number |
19K06217
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 40030:Aquatic bioproduction science-related
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| Research Institution | Japan International Research Center for Agricultural Sciences (2021)
Fisheries Research and Education Agency (2019-2020) |
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Principal Investigator |
Matsumoto Yukio 国立研究開発法人国際農林水産業研究センター, 水産領域, 研究員 (60700408)
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| Project Period (FY) |
2019-04-01 – 2022-03-31
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| Keywords | バイオロギング / 個体ベースモデル / ドローン / フェントン反応 / 一斉産卵 / ヒドロキシルラジカル |
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| Outline of Final Research Achievements |
Previous studies observed spawning of Ezo abalone mainly occur during stormy weather, however, the stimulus of spawning had not been revealed. This study propose the possibility that water layers in the ocean are mixed and the surface layer containing H2O2 and Fe2+ interacts with the ocean bottom; this leads to conditions suitable for the occurrence of the Fenton reaction, which generate Hydroxylradicals (・OH) . We observed that Ezo abalone released eggs after salinity decreased as a result of rainfall during stormy conditions. Our tank experiment demonstrated that ・OH generated by the Fenton reaction induced synchronous spawning behavior between the sexes.
The effect of stormy weather could be stronger in shallower area than deeper area. Our simulation model indicated abalone move to shallower area from deeper area in response to phenology of brown kelp that is abalone food. The food-searching behavior may induce abalone to move to shallower area wherespawning stimulus reach them.
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| Free Research Field |
動物行動学
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| Academic Significance and Societal Importance of the Research Achievements |
巻貝や二枚貝、サンゴ類などの海産無脊椎動物では、ヒドロキシルラジカルをはじめとするフリーラジカルが産卵を促すことが水槽実験で示されてきたが、野外でフリーラジカルが産卵に関与する可能性は全く議論されてこなかった。本研究は、野外におけるフリーラジカルの発生要因となりえるフェントン反応に着目することで、海産無脊椎動物の一斉産卵のトリガーに関する新しい仮説を提唱した。また、アワビの実際の移動データとドローンによって習得した環境データを統合した新しいシミュレーションモデルを構築することで、動物の行動に基づいた資源管理技術開発への道筋を作った。
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