Microbial Selection and Functional Adaptation in Technical Snow: A Molecular Perspective from 16S rRNA Profiling

Area of Science:

• Microbial Ecology
• Environmental Microbiology
• Molecular Biology

Background:

• Artificial snow production is increasing in alpine regions.
• Its impact on microbial communities at a molecular level is poorly understood.

Purpose of the Study:

• To investigate bacterial communities and their functional traits throughout the technical snowmaking cycle.
• To assess the molecular ecological implications of artificial snow in alpine environments.

Main Methods:

• Combined culture-based methods with high-throughput 16S rRNA gene sequencing.
• Utilized Functional Annotation Of Prokaryotic Taxa (FAPROTAX) for functional trait prediction.
• Analyzed samples from various stages of the snowmaking process in a Polish ski resort.

Main Results:

• Technical snow harbors cold-adapted bacteria (e.g., Brevundimonas, Massilia) with biofilm and stress tolerance traits.
• Chemoheterotrophy was dominant, with localized enrichment of fermentation and aromatic compound degradation.
• Opportunistic and potentially pathogenic bacteria (e.g., Acinetobacter, Flavobacterium) were found in sediments and meltwater.

Conclusions:

• Technical snowmaking systems act as selective environments for microbial survival and trait persistence.
• These systems can promote traits related to environmental resilience and potential pathogenicity.
• Monitoring microbial functions alongside taxonomy is crucial for assessing snowmaking impacts on alpine ecosystems.