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Microbial Characterization of Arctic Glacial Ice Cores with a Semiautomated Life Detection System.

David TouchetteCatherine MaggioriIanina AltshulerAlex TettenbornLouis-Jacques BourdagesElisse MagnusonOlivia Blenner-HassettIsabelle Raymond-BouchardAlex ElleryLyle G Whyte
Published in: Astrobiology (2023)
The search for extant microbial life will be a major focus of future astrobiology missions; however, no direct extant life detection instrumentation is included in current missions to Mars. In this study, we developed the semiautomated MicroLife detection platform that collects and processes environmental samples, detects biosignatures, and characterizes microbial activity. This platform is composed of a drill for sample collection, a redox dye colorimetric system for microbial metabolic activity detection and assessment (μMAMA [microfluidics Microbial Activity MicroAssay]), and a MinION sequencer for biosignature detection and characterization of microbial communities. The MicroLife platform was field-tested on White Glacier on Axel Heiberg Island in the Canadian high Arctic, with two extracted ice cores. The μMAMA successfully detected microbial metabolism from the ice cores within 1 day of incubation. The MinION sequencing of the ice cores and the positive μMAMA card identified a microbial community consistent with cold and oligotrophic environments. Furthermore, isolation and identification of microbial isolates from the μMAMA card corroborated the MinION sequencing. Together, these analyses support the MicroLife platform's efficacy in identifying microbes natively present in cryoenvironments and detecting their metabolic activity. Given our MicroLife platform's size and low energy requirements, it could be incorporated into a future landed platform or rovers for life detection.
Keyphrases
  • microbial community
  • loop mediated isothermal amplification
  • label free
  • high throughput
  • real time pcr
  • antibiotic resistance genes
  • gold nanoparticles
  • nitric oxide
  • single cell
  • sensitive detection