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Enregistrement W4387741183 · doi:10.3897/aca.6.e108883

Glacial secrets uncovered: Revealing the modes of survival of metabolically active microbial communities entrapped in polar glacial ice

2023· article· en· W4387741183 sur OpenAlexafffundabout
Brady O'Connor, Lyle G. Whyte

Notice bibliographique

RevueARPHA Conference Abstracts · 2023
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePolar Research and Ecology
Établissements canadiensMcGill University
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyFonds Québécois de la Recherche sur la Nature et les Technologies
Mots-clésGlacial periodGlacierMeltwaterEarth scienceAstrobiologyPhysical geographyBiogeochemical cycleEcologyGeologyGeographyGeomorphologyBiology

Résumé

récupéré en direct d'OpenAlex

Glaciers, once dismissed as inhospitable environments, have been overlooked in scientific investigations. Previous studies have primarily focused on the supraglacial (cryoconite holes, snow, and meltwater) and subglacial (bedrock and soils, among others) environments, neglecting the englacial (inside ice) realm. Despite evidence demonstrating the survival of cells in glacial/sea ice (Christner 2000, Junge et al. 2002, Miteva et al. 2004, Miteva and Brenchley 2005) and theoretical predictions and indirect evidence hinting at active microbial communities within glacial ice (Krembs et al. 2002, Junge et al. 2004, Price and Sowers 2004, Tung et al. 2005, Tung et al. 2006, Rohde et al. 2008), the englacial environment has remained largely unexplored. Recognizing that englacial ice hosts potentially active microbial communities carries significant implications for the future of these habitats in the face of escalating global warming and glacial retreat. As glaciers rapidly melt due to the effects of global warming, the liberation of these microbial communities will undoubtedly exert profound effects on local ecosystems and biogeochemical cycles, presenting an array of unknown consequences. Furthermore, considering the ability of microbial communities to persist in such extreme conditions on Earth, they become intriguing subjects for the search for life on celestial bodies such as Mars, Europa, Enceladus, and Titan, all of which house vast ice deposits. However, several fundamental questions persist. The extent of metabolic activity in glacial ice remains uncertain, as does the identification of microorganisms capable of sustaining metabolic processes. Most importantly, understanding the survival strategies employed by these organisms in such an extreme environment remains unknown. To answer these questions, we present metagenomes and what we believe to be the first metatranscriptomes ever analyzed from glacial ice. We have developed a method which allows us to melt ice cores without altering the mRNA profile of the microorganisms within, allowing us to directly determine how microorganisms are able to survive in such a hostile environment. One-to-two-meter cores were taken from the surface of White Glacier, Axel Heiberg Island and from the Devon Island ice cap, both in the Canadian High Arctic. A depth of 70 – 90 cm and 131 – 151 cm was chosen for analysis from White Glacier and Devon Island respectively. In the lab, to remove surface contamination from the cores, the outer 0.5 cm of the cores was removed, and the inner cores were sprayed with 70% ethanol. The decontaminated core subsections were melted at 4°C directly into DNA/RNA Shield (1:1 ratio) which preserved the microbial communities on contact, preventing changes to the metagenome or metatranscriptome during melt. Melted samples were filtered and nucleic acids extracted before DNA and RNA sequenced on an Illumina NovaSeq 6000 sequencer. Sequencing yield from Devon ice cap was low, resulting in few metagenomic and metatranscriptomic sequences however White Glacier produced a metagenome of 46 million reads and a metatranscriptome of 56 million reads. These data revealed that White Glacier is dominated by Cyanobacteria and Actinobacteria and the Devon ice cap is dominated by Proteobacteria. Furthermore, metatranscriptomic analysis of microorganisms from White Glacier revealed a metabolically active microbial community reliant on oxygenic photosynthesis, and carbon fixation via the Calvin and 3-hydroxypropionate Cycles. Transcripts related to aerobic respiration, aerobic carbon monoxide oxidation, sulfur oxidation, nitrite oxidation, nitric and nitrous oxide reduction and anoxygenic photosynthesis were also present. Cold adapted microorganisms possess many mechanisms to deal with low temperatures and the microbial community of White Glacier is no different. Cold response genes were highly expressed, principally membrane and peptidoglycan modifying proteins which increase membrane and cell wall fluidity at low temperatures, translation and transcription factors which increase the efficiency of protein synthesis at low temperatures, and cold shock proteins which stabilize RNA at low temperatures. Two high and five medium quality metagenome assembled genomes (MAGs) were also recovered from the White Glacier ice core, including a 99.86% complete Coleofasciculaceae Cyanobacterial genome with transcripts mapping to its genome related to aerobic respiration, oxygenic photosynthesis, carbon fixation (Calvin cycle) and nitrous oxide reduction. Transcripts related to cold response included those from categories such as cold shock proteins, DNA repair, membrane and peptidoglycan alteration, osmotic stress, and transcription and translation factors. Transcripts involved in DNA replication even mapped to the genome of this organism indicating it was capable of cell division in the ice. Overall, our research suggests that englacial ice can support an active microbial community where Cyanobacteria act as primary producers, generating energy from photosynthesis and fixing carbon from trapped atmospheric CO 2 . Carbon monoxide is also used as an energy source. As expected, cold adaptation genes are widespread and highly expressed indicating a community highly adapted to life in glacial environments and which may even be capable of growth. This research is significant because it presents the first metatranscriptomic profile of microorganisms trapped within glaciers, challenging preconceived notions about the habitability of ice. These results carry profound implications for the field of astrobiology and the quest to uncover signs of life within Martian glaciers or the ice-covered surfaces of Europa, Enceladus, and Titan.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,845
Score d'incertitude au seuil0,991

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,037
Tête enseignante GPT0,280
Écart entre enseignants0,243 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2023
Routes d'admission3
Résumé présentoui

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