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Sampling across large-scale geological gradients to study geosphere-biosphere interactions
Donato Giovannelli1,2,3,4,5, Peter H Barry4, J Maarten de Moor6,7
1Department of Biology, University of Naples "Federico II", Naples, Italy.
Frontiers in Microbiology
|November 17, 2022
Summary
Exploring the deep subsurface biosphere requires a new sampling strategy. By analyzing geological, geochemical, and biological data from seeps across large scales, we can better understand microbial life and its role in planetary habitability.
Area of Science:
- Deep subsurface biosphere
- Geomicrobiology
- Biogeoscience
Background:
- The deep subsurface biosphere is a vast microbial ecosystem with many unanswered questions.
- Directly sampling the deep subsurface is challenging and expensive, limiting our understanding.
- Current research often focuses on local scales, hindering a broader ecological perspective.
Purpose of the Study:
- To propose and validate a novel sampling approach for studying the deep subsurface biosphere.
- To investigate the interactions between the geosphere and biosphere across regional and planetary scales.
- To develop a framework for understanding subsurface ecosystem models and microbial roles.
Main Methods:
- Collecting extensive geological, geochemical, and biological data from deep-sourced seeps.
- Analyzing data across large spatial scales, including lower-temperature sites.
- Applying the approach to diverse geological settings, such as convergent margins.
Main Results:
- Demonstrated the successful application of the large-scale seep sampling approach.
- Enabled research into geosphere-biosphere interactions beyond single-site limitations.
- Provided a framework for interpreting deep biosphere evolution and ecosystem functions over geological timescales.
Conclusions:
- A large-scale, multi-data seep sampling strategy is effective for deep biosphere research.
- Understanding geo-bio feedbacks is crucial for planetary habitability and ecosystem stability.
- Deep biosphere studies are fundamental to global geo-bio feedback processes.
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