Integrated 'Omics', Targeted Metabolite and Single-cell Analyses of Arctic Snow Algae Functionality and Adaptability

Area of Science:

• Glaciology
• Microbiology
• Ecology

Background:

• Snow algae are crucial primary producers in glacial ecosystems, influencing albedo and melt rates.
• Despite their ecological importance, the physiology and ecology of snow algae remain poorly understood.
• Pigmentation leads to green or red blooms, impacting surface reflectivity and enhancing melting.

Purpose of the Study:

• To conduct a comprehensive multi-omics investigation of adjacent green and red snow algal blooms.
• To analyze algal and microbial community composition, metabolic profiles, and environmental factors.
• To elucidate the ecological roles and adaptive strategies of snow algae in glacial environments.

Main Methods:

• Multi-omics analysis (genomics, transcriptomics, metabolomics) on bulk and single-cell levels.
• Assessment of physico-chemical parameters: water content, pH, albedo, and nutrient availability.
• Community analysis of algae, bacteria, and archaea in green and red snow samples.

Main Results:

• Green and red snow habitats exhibit distinct physico-chemical properties and microbial communities.
• Green snow is a wet, nutrient-rich environment dominated by Microglena sp., with metabolites indicating active growth.
• Red snow is dry and nutrient-poor, colonized by Chloromonas species with storage metabolites for stress adaptation.

Conclusions:

• Snow algal blooms display significant variations linked to their life cycle stages and environmental adaptations.
• Integrated multi-omics and environmental data provide insights into extremophile ecology.
• Snow algae play a vital role in glacial ecosystems, influencing biogeochemical cycles and melt dynamics.