日本地球惑星科学連合2018年大会

講演情報

[EE] ポスター発表

セッション記号 B (地球生命科学) » B-CG 地球生命科学複合領域・一般

[B-CG07] 地球惑星科学 生命圏フロンティアセッション

2018年5月21日(月) 10:45 〜 12:15 ポスター会場 (幕張メッセ国際展示場 7ホール)

コンビーナ:高野 淑識(海洋研究開発機構)、鈴木 庸平(東京大学大学院理学系研究科)、福士 圭介(金沢大学環日本海域環境研究センター、共同)、加藤 真悟(国立研究開発法人理化学研究所)

[BCG07-P02] Reconstructing Ecological Responses to Last Global Warming Recorded in Japan Sea Sediment through Ancient DNA Analysis

*幸塚 麻里子1鈴木 庸平1 (1.東京大学大学院理学系研究科 地球惑星科学専攻)

キーワード: 日本海、化石DNA、地球温暖化、無酸素水塊

The advancements of scientific ocean drilling towards climate and ocean changes through sedimentological, paleontological and biogeochemical approaches and biosphere frontiers through next-generation sequencing of genomic DNA from the deep biosphere lead to an emerging field of ancient DNA genomics. In semi-closed ocean basins, climate-driven changes in marine ecosystem are pronounced because of the channel closure and physicochemical stratification based on salinity and temperature. The lack of O2 to benthic organisms results in the formation of unturbated sediment with laminated layers, each of which tends to record the past ocean change at high temporal resolution. As pilot studies demonstrated that DNA and other biomolecules are well preserved at geological time scale under O2-deprived conditions, ancient DNA genomics is becoming a new powerful tool to decode the past ecological change. We investigated ancient DNA obtained from thinly laminated layers deposited in the Japan Sea across the most recent global warming event rapidly occurred after Younger Dryas. Metabarcoding of 18S rRNA gene sequences clarified that across the transition from oxygenated to anoxic bottom water conditions, dominant protist populations were shifted from radiolarians (Acantharia) to diatoms (Thalassiosirales) and unclassified Stramenopiles. These results suggest that the inflow of Tsushima Current with nutrient-rich, warm seawater and rapid global warming triggered the complex anoxia-ecology interactions. It is also suggested that the long-term ecological change reconstructed in this study provides realistic information to predict ecosystem perturbation caused by current global warming.