Snow ecosystem, microbial community structure and function in artic snowpacks

• Main Author: Maccario, Lorrie
• Other Authors: Ampère (AMPERE), École Centrale de Lyon (ECL), Université de Lyon-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ampère, Département Bioingénierie (BioIng), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-École Centrale de Lyon (ECL), Ecole Centrale de Lyon, Timothy Vogel, Catherine Larose
• Format: Doctoral or Postdoctoral Thesis
• Language: English
• Published: HAL CCSD 2015
• Subjects: Ecology of snow microorganisms; Arctic seasonal snowpack; Ecologie des microbes; Manteau neigeux arctique; [SPI.OTHER]Engineering Sciences [physics]/Other; Arctic; Greenland; Nuuk; Svalbard; Arctique*; Sea ice
• Online Access: https://tel.archives-ouvertes.fr/tel-01287177; https://tel.archives-ouvertes.fr/tel-01287177/document; https://tel.archives-ouvertes.fr/tel-01287177/file/TH_T2468_lmaccario.pdf

The Arctic seasonal snowpack can extend at times over a third of the Earth’s land surface. This chemically dynamic environment interacts with different environmental compartments such as the atmosphere, soil and meltwater, and thus, strongly influences the entire biosphere. During the last decades, snow has been recognized as a microbial reservoir. The ecology of snow microorganisms however remains poorly understood. The main goal of this thesis was to investigate the snow as a functional ecosystem; i.e. a community of living organisms in conjunction with the non--‐living component of their environment and interacting as a system. In order to do so, microbial community taxonomic and functional composition of snow samples from two arctic snowpack models: seasonal snow from terrestrial fresh water snowpack (Ny--‐Alesund, Svalbard) and sea ice snow cover (Nuuk, Greenland) was analyzed using high throughput sequencing technologies. The first objective addressed microbial community heterogeneity in relation with fluctuating environmental conditions. Snow microbial community composition was highly variable during spring season and depth. The relationship between microbial functions and environmental conditions supports the hypothesis that the snow microbial community interacts with the abiotic variability characteristic of their habitat. The second objective addressed snow community specificity; if the snowpack is a functional ecosystem, then the microbial communities inhabiting it should have specific features related to their adaptation to the conditions of this environment, despite variability. The comparison of functional distribution between snow and both remote (polar and non polar) and closely interacting environments provided evidence of snowpack microbial community specificity. The third objective focused on environmental selection, given that the existence of a specific snow microbial community implies that one or more selective processes occur in the snowpack. Comparing the distribution of microbial ...