Microbial Characterization of Arctic Glacial Ice Cores with a Semiautomated Life Detection System.
Astrobiology
Automation
Cryoenvironments
Drilling
Glaciers
Life detection
MinION
μMAMA
Journal
Astrobiology
ISSN: 1557-8070
Titre abrégé: Astrobiology
Pays: United States
ID NLM: 101088083
Informations de publication
Date de publication:
07 2023
07 2023
Historique:
medline:
17
7
2023
pubmed:
2
5
2023
entrez:
1
5
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37126945
doi: 10.1089/ast.2022.0130
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM