Microbial Selection and Functional Adaptation in Technical Snow: A Molecular Perspective from 16S rRNA Profiling
Anna Lenart-Boroń, Piotr Boroń, Bartłomiej Grad, Klaudia Bulanda, Natalia Czernecka-Borchowiec, Anna Ratajewicz, Klaudia Stankiewicz

TL;DR
This study explores how artificial snow affects microbial communities, revealing cold-adapted bacteria and potential pathogens in snowmaking systems.
Contribution
The paper introduces a molecular ecological framework for assessing microbial impacts of technical snowmaking in alpine regions.
Findings
Technical snow hosts cold-adapted bacteria like Brevundimonas and Massilia with stress tolerance traits.
Functional analysis shows dominance of chemoheterotrophy and potential pathogenic genera in sediments and meltwater.
Snowmaking systems act as selective environments for microbial survival and persistence of environmental resilience traits.
Abstract
Artificial (technical) snow production is an increasingly common practice in alpine regions, yet little is known about its role in shaping microbial communities at the molecular level. In this study, we combined culture-based methods with high-throughput 16S rRNA gene sequencing and functional trait prediction (FAPROTAX) to investigate bacterial communities across the full technical snowmaking cycle in one of Polish ski resorts. The molecular profiling revealed that technical snow harbors dominant taxa with known cold-adaptation mechanisms, biofilm-forming abilities, and stress tolerance traits (e.g., Brevundimonas, Lapillicoccus, Massilia, with a relative abundance of 2.95, 2.14, 3.38 and 5.61%, respectively). Functional inference revealed a consistent dominance of chemoheterotrophy (up to 38% in relative abundance) and aerobic chemoheterotrophy (up to 36%), with localized enrichment…
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Taxonomy
TopicsPolar Research and Ecology · Winter Sports Injuries and Performance · Cryospheric studies and observations
