Machine learning insights the impact of water masses and climate change on planktonic archaeal community biogeography in the East China Sea
ID:826 View Protection:ATTENDEE Updated Time:2024-12-30 20:16:27 Hits:812 Poster Presentation

Start Time:2025-01-14 18:50(Asia/Shanghai)

Duration:15min

Session:S3 Session 3-The Nitrogen Cycle Towards a Sustainable Ocean: From Microbes to Global Biogeochemistry » S3-PThe Nitrogen Cycle Towards a Sustainable Ocean: From Microbes to Global Biogeochemistry

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Abstract
Planktonic archaea are widely distributed in marine ecosystems and are major components of the marine biogenic elements cycle. However, there is limited understanding about how archaeal community biogeography varies across environmental gradients, and how their abundance of different groups may be affected by climate change. Here, using 16S rRNA gene amplicon sequencing and quantitative polymerase chain reaction, we investigated the biogeography, co-occurrence relationships, assembly mechanism, and abundance distribution patterns of the planktonic archaeal community in surface water samples collected during August and September 2015 of the East China Sea (ECS). Our findings indicate that the correlations among planktonic archaeal community structure, community diversity, sub-network topological parameters, and environmental factors showed great heterogeneity when considering the effect of different water masses. The community assembly mechanism of planktonic archaea is mainly determined by stochastic processes, accounting for 87.98% of all processes. Among them, drift accounts for 71.88%, widely distributed among the sampling sites of different water masses, which is an important ecological process of phytoplankton community assembly. We then perform a machine-learning-based analysis of different groups’ archaeal abundance to extrapolate their impact on climate change. Our predictive model indicates that the heterogeneity of the spatial distribution of planktonic archaea may decrease from the present to the end of this century in extreme climate change scenarios. Partial effects analysis shows that MGI prefers moderate temperatures and low salinity, while MGII prefers low temperatures and high salinity, which is consistent with the distribution pattern we found across different water masses. This study expands the understanding of the community composition, assembly processes, co-occurrence patterns, and abundance distribution of the planktonic archaea from different surface water masses in the East China Sea, which will be helpful to explore the adaptation mechanism of planktonic archaea to different marine environments and evaluate the role of marine plankton archaea in biogeochemical cycles on a larger spatiotemporal scale in the future.
 
Keywords
marine archaea, biogeochemistry, climate change, envrionmental ad
Speaker
Wei Xie
Professor Sun Yat-sen University

Submission Author
Wei Xie Sun Yat Sen University
Ziya Lin Sun Yat Sen University
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Important Date
  • Conference Date

    Jan 13

    2025

    to

    Jan 17

    2025

  • Sep 27 2024

    Draft paper submission deadline

  • Feb 17 2025

    Registration deadline

Sponsored By
State Key Laboratory of Marine Environmental Science, Xiamen University
Organized By
State Key Laboratory of Marine Environmental Science, Xiamen University
Department of Earth Sciences, National Natural Science Foundation of China
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