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Confocal Raman Microscopy Quantitatively Reveals Subcellular Metabolic Adaptation Mechanisms of Deep-Sea Mussels to
Wanying He1,2, Mengna Li3,4,5, Minxiao Wang3,4
1Laoshan Laboratory, Qingdao 266237, China.
Deep-sea mussels rely on methane for metabolic and structural balance. Methane deficiency disrupts their energy metabolism, highlighting the ecological risks of methane extraction from cold seeps.
Area of Science:
- Marine Biology
- Biogeochemistry
- Ecosystem Dynamics
Background:
- Methane hydrates are a potential energy source, but their extraction poses risks to deep-sea ecosystems.
- Understanding biological responses to methane fluctuations in cold seeps is limited due to challenges in real-time metabolic monitoring.
- Deep-sea mussels harbor symbionts and rely on methane from cold seeps.
Purpose of the Study:
- To investigate subcellular metabolic adaptations in deep-sea mussels under methane deficiency.
- To assess the impact of methane fluctuations on the metabolic and structural homeostasis of these organisms.
- To demonstrate a novel method for real-time, noninvasive metabolic tracking in deep-sea environments.
Main Methods:
- Application of confocal Raman microscopy combined with full-spectrum normalization.
- Label-free, nondestructive, high-resolution quantitative analysis of biomolecules in gill tissues.
- Monitoring subcellular metabolic dynamics and structural reorganization in response to methane deficiency.
Main Results:
- Methane deficiency induced significant metabolic reprogramming and structural reorganization in mussel gill tissues.
- Energy metabolism was disrupted, while proteolysis and lipolysis were enhanced.
- Spatial heterogeneity in cellular recovery and degradation indicated differential resilience among cells.
Conclusions:
- Methane is crucial for maintaining metabolic and structural homeostasis in deep-sea mussels.
- Findings provide insights into adaptation strategies under methane deficiency and ecological impacts of methane extraction.
- The methodology offers broad potential for real-time metabolic monitoring and evaluating environmental disturbance effects.
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