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2023 Fiscal Year Final Research Report

Methodological developments of the connectivity analysis in marine benthos with an extremely dispersible planktonic larval stage

Research Project

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Project/Area Number 19H03028
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 40030:Aquatic bioproduction science-related
Research InstitutionThe University of Tokyo

Principal Investigator

Irie Takahiro  東京大学, 大気海洋研究所, 助教 (30549332)

Co-Investigator(Kenkyū-buntansha) 狩野 泰則  東京大学, 大気海洋研究所, 准教授 (20381056)
福森 啓晶  東北大学, 生命科学研究科, 助教 (60746569)
Project Period (FY) 2019-04-01 – 2023-03-31
Keywords浮遊幼生 / 海産ベントス / 貝殻 / 石灰化 / 一塩基多型 / 種内変異 / 分散
Outline of Final Research Achievements

The goal of this project is to establish a technique for estimating the dispersal history of marine benthos during the planktonic larval stage, which is an important factor for understanding the recruitment dynamics from individual-derived information. The chemical composition of larval shells provides essential information for reconstructing the temperature history experienced by individuals prior to their settlement onto the benthic habitat. In this study, we succeeded in demonstrating that the elemental ratio (Sr/Ca), which can be analyzed at a lower cost than the oxygen stable isotope ratio, is significantly affected by intraspecific genotypic variation. We also established a calibration line to eliminate the influence of systematic errors in the determination of Sr/Ca in carbonate using EPMA. Furthermore, we proceeded to obtain nuclear genome information, which is necessary to estimate the connectivity among populations from the viewpoint of population genomics.

Free Research Field

水産科学

Academic Significance and Societal Importance of the Research Achievements

水産生物の加入量変動を決定する要因や原理の理解は、資源量評価や資源管理を進める上で、極めて重要な要素である。浮遊幼生期を持つ多くの水産生物では、個体発生初期の動態に関するデータを取得することが難しく、炭酸塩硬組織やゲノム情報の利用が必要不可欠である。また、生物起源の炭酸塩に含まれる元素比を左右する要因を定量的に理解することは、基礎科学における意義も大きい。炭酸塩中の元素比は、これまで熱力学的な過程が支配的であるというモデルで理解されてきた。今回、遺伝子型の個体差による影響が無視できない規模であることを実証できたことは、この分野でなされる今後の研究の方向性に一定の影響があるだろう。

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Published: 2025-01-30  

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