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Record W6959372847 · doi:10.11575/prism/dspace/41162

Insights into communities, metabolic and ecological potential of the bacteria of two extreme acidic environments

2022· other· en· W6959372847 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2022
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Practices and Plant Genetics
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatExtreme environmentMetagenomicsMicrobial population biologyPhylumAcid mine drainageMicrobial ecologySulfate-reducing bacteriaBacteriaEcosystem

Abstract

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This work examines the microbial communities in two extremely acidic habitats:the terrestrial environment of the Paint Pots Mound (Kootenay National Park, BritishColumbia, Canada) and the sediments of an ultra-acidic lake in the Smoking Hills (CapeBathurst, Northwest Territories, Canada) area. While the acidification of both locationsoriginates from the natural pyrite ore oxidation processes, the sites show a dramaticcontrast in microbial compositions, function, complexity, and diversity. The chemicalcomposition of the sites is suggestive of that of acid mine drainage (AMD) systems;however, the habitats of the Paint Pots and Smoking Hills are pristine, unlike the majorityof AMD, and therefore offer a unique opportunity in microbial ecology research.The microbial communities of the sites are explored using metagenomics andstable isotope probing. Microbial load and diversity in both locations were low. However,despite their high acidity, metal, and sulfate content similarities, the habitats hostedcontrasting microbial communities.The Paint Pots Mound environment is notable for the elevated abundance of suchlineages as WPS-2, AD3, Ca. Binatia, Elsterales, and atmospheric methane oxidizers ofthe genus Methylocapsa, compared to other habitats reported in the literature. Membersof the phylum WPS-2, also known as Eremiobacterota, dominated bare, nonvegetatedzones. Metabolically, it was proposed that these organisms were organoheterotrophs,using amino acids, peptides, and nucleotides for growth, and were, perhaps, adapted toscavenging or parasitizing and antimicrobial compound resistance. At the same time, themetagenomic data indicated the presence of multiple lineages of soluble and particulatemethane monooxygenase homologs. Such results aligned with the soil activity towardsoxidating methane, ethane, and propane. As a result of a DNA stable isotope probingexperiment, using 13 C labeled propane, it was established that 2-propanemonooxygenases were associated with propane oxidation, carried out by taxonomicallydiverse groups of organisms. The short-chain hydrocarbon oxidation activity in the PaintPots soil was comparable to the soils from natural gas seepage sites.In contrast, the prokaryotic community of the Smoking Hills lake sediments wasdominated by a single species of Acidithiobacillus ferrivorans SH11, constituting morethan 73% of the 16S rRNA gene amplicons. The site was characterized by low microbialcell count and lithoautotrophic metabolism, centered on iron and sulfur oxidation andCO 2 fixation via the Calvin–Benson–Bassham cycle. At the same time, the genomicfeatures of A. ferrivorans SH11 suggested these organisms were undergoing genomestreamlining. The genome of these organisms was characterized by increased genedensity and fractions of genes annotated with COG or Pfam, compared to culturedisolates. The degree of genome streamlining in these organisms living inside the Arcticcircle surpassed that of the uncultured Acidithiobacillus genomes recovered from hotsprings. A strong inverse relationship between genome size and a fraction of genesannotated with COG, observed for Acidithiobacillus genomes, was a common trendamong other genera in Proteobacteria.Therefore, as the Smoking Hills environment was dominated by an autotrophicorganism with a streamlined genome, the notable members of the Paint Pots Moundcommunity were mainly metabolically diverse heterotrophs.

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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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.947

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 science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0530.000

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 head0.045
GPT teacher head0.239
Teacher spread0.195 · 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

Classification

machine, unvalidated

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

Study designNot applicable
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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