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Record W3011498151 · doi:10.5038/1827-806x.49.1.2291

Culture dependent analysis of bacterial diversity in Canada’s Raspberry Rising Cave revealed antimicrobial properties

2020· article· en· W3011498151 on OpenAlex
Soumya Ghosh, Gabrielle Kam, Monique Nijjer, Christian Stenner

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Speleology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaThompson Rivers University
FundersParks Canada
KeywordsBiologyGammaproteobacteriaFirmicutesProteobacteriaAntimicrobialMicrobiologyFlavobacteriumAlphaproteobacteriaActinobacteria16S ribosomal RNABacteriaPseudomonasGenetics

Abstract

fetched live from OpenAlex

Bacteria and archaea thrive in terrestrial subsurface environments because of their unique physiology. Over time, these unique microorganisms may have adapted to possess specialized metabolic pathways that sustain their continued existence in caves, one of harshest environments on earth. The present study elucidates cultivation based microbial diversity of the cave sediments and wall scrapings collected from seven different locations in Raspberry Rising Cave located in the Columbia Mountain Range, British Columbia, Canada. A total of 103 cultivable bacteria from the cave were isolated on various agar media including R2A, Hickey-Tresner, and DifcoTM Actinomycetes Isolation agar media. Taxonomical phylogenetic analysis of the 16S rRNA gene of the bacterial isolates identified three major phyla: Proteobacteria (Class: Gammaproteobacteria) (51.45%), Actinobacteria (43.68%) and Bacteroidetes (3.88%). Among them, the major genus was Pseudomonas (48.54%) followed by Rhodococcus (39.80%) and Flavobacterium (3.88%). The genus Janthinobacterium and Arthrobacter contributed about 2.91% each, of the total population. Noteworthy, 0.99% were recognized as endophytic Proteobacteria. Furthermore, these bacterial isolates were evaluated for their potential antimicrobial activities against the multidrug resistant bacterial strains. Two bacterial isolates (RRC23, RRC75) showed antimicrobial activities against multi-drug resistant (MDR) Escherichia coli #15-318 while RRC48 exhibited against methicillin resistant (MRSA) Staphylococcus aureus. The isolates RRC36 and RRC38 were identified to show antimicrobial activities against non-pathogenic isolates of Staphylococcus aureus. To the best of our knowledge, this is the first scientific study conducted and provides the insight in occurrence and distribution of the cultivated bacterial diversity from the Raspberry Rising Cave. Moreover, the antimicrobial properties exhibited by some of the bacterial isolates suggested that this cave system could be a resource for potential antibiotics, drugs or novel biologics of clinical relevance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.219
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it