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Record W4281758228 · doi:10.32920/19912099.v2

The characterization, occurrence, and mobility of antibiotic resistant bacteria, antibiotic resistance genes, and plasmids isolated from urban wastewater treatment plants.

2022· preprint· en· W4281758228 on OpenAlexaff
Amir Tehrani

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTetracyclineAntibiotic resistanceAntibioticsPlasmidBiologyMicrobiologyBacteriaPopulationMobile genetic elementsVirulenceGeneGeneticsMedicineEnvironmental health

Abstract

fetched live from OpenAlex

Throughout the decades, there has been an increase in the prevalence and the spread of antibiotic resistance genes (ARGs) within the bacterial populations found in various environments. The continual use of antibiotics has contributed to a higher state of resistance in microorganisms and is recognized as a threat to global public health. The spread of ARGs within a bacterial population is still poorly understood, although, wastewater treatment plants (WWTPs) have been recognized as ‘hotspots’ for the dissemination and proliferation of ARGs. More research is required to further our understanding of the occurrence and mobility of antibiotic resistant bacteria (ARB), ARGs, and plasmids within densely populated microbial environments such as in WWTPs. The first objective investigated the presence of tetracycline resistant and tetracycline sensitive bacteria and characterized them based on identity, morphology, and antibiotic resistance patterns. It was found that tetracycline resistant and sensitive populations differed greatly in composition. In addition, isolates that were resistant to tetracycline were more likely to carry resistances to other antibiotics, unlike sensitive ones. The knowledge acquired from this research will shed light upon resistance patterns and routes that can occur in a complex WWTP microbial population. The second objective investigated the presence, host range, and characterization of plasmids found in both antibiotic resistant and sensitive isolates. The members belonging to the phylum Enterobacteriaceae were found to be the main carriers of plasmids. Numerous plasmids with conjugative properties, type secretion systems, antibiotic resistance genes, and virulence factors were identified among the selected cultures. The genetic information obtained will contribute to the understanding of the role plasmids play in the mobility, host range, metabolic function, virulence, and the spread of ARGs. The last objective monitored the conjugative transfer of two novel plasmids, pNT36-3, and pNT36-4, between two environmental strains of Escherichia coli NT36 and EB-G3. Furthermore, the effects of subinhibitory concentrations of antibiotics on plasmid transfer are also examined. In the presence of 1 μg/mL of carbenicillin, the plasmid transfer rate significantly increased while decreasing in the presence of other antibiotics. Understanding the environmental conditions, host requirements, and occurrence of plasmid transfer will bring about great insight in understanding gene transfer between environmental bacteria.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.019
GPT teacher head0.245
Teacher spread0.227 · 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 source (direct Gemma or distilled Codex), 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".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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