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Record W3106025817

Developing a Multiplex PCR Platform to Determine the Virulence Genes of Escherichia Coli in Boulevard Lake, Thunder Bay, Ontario

2016· dissertation· en· W3106025817 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2016
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsnot available
Fundersnot available
KeywordsThunderBoulevardVirulenceBayMultiplex polymerase chain reactionMultiplexEscherichia coliBiologyGeneMicrobiologyPolymerase chain reactionGeographyGeneticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Given the evidence that E. coli can establish in the periphytic community and be released back into the water column, it is important to understand the pathogenicity of this group of E. coli by examining the virulence genes that they possess. In this study, an optimized DNA extraction method and multiplex PCR platform were developed to detect the virulence genes of five major pathotypes of E. coli (enteropathogenic E. coli, ETEC; enteropathogenic E. coli, EPEC; shiga toxin-producing E. coli, STEC; enteroinvasive E. coli, EIEC; and uropathogenic E. coli, UPEC). The multiplex PCR platform was used to examine the virulence genes of E. coli isolates from the periphyton and lakewater samples from Boulevard Lake, Thunder Bay, Ontario. In addition, E. coli isolated from goose feces and sewer pumping stations around the lake were also tested. \nFour DNA extraction methods were compared including the: (I) Fermentas Genomic DNA Extraction Kit, (II) XS Buffer method, (III) Chelex DNA extraction method, and (IV) Chelex+RNase method. The average amounts of DNA obtained by the four methods were 1.1, 14.9, 140.7 and 150.2 ?g/109 cells, respectively. However, only the DNAs extracted by the XS Buffer method were able to be specifically amplified by their respective PCR primers. Therefore, the XS Buffer method was selected in this study. \nThree sets of multiplex PCR primers were initially designed to target and amplify nine specific virulence genes of the five major pathotypes of E. coli. Since the multiplex primers Set 2 and 3 were not functioning properly, they were replaced by multiplex PCR primers Set 4 and 5, respectively. The Set 1 primers contained the hs and hl primers that amplified the heat-stable enterotoxin (hs) and heat-labile enterotoxin (hl) genes of ETEC respectively, and ironEC primers for the iron sequestering gene (ironEC) of UPEC. The Set 1 multiplex primers successfully amplified the target genes either individually or simultaneously to produce specific DNA fragments at 170, 322 and 665 bp respectively. The Set 4 multiplex primers amplified the ial of EIEC, bfpA of EPEC and hly of UPEC to produce amplicons of 650, 324 and 1000 bp respectively. Finally, the Set 5 multiplex primers amplified the shiga-like toxin I and II genes (stxI and stxII) of STEC and papA of UPEC successfully to produce amplicons of 150, 255 and 720 bp respectively. \nThe multiplex primers Set 1, 4 and 5 were used to determine the presence of the nine targeted virulence genes in 306 E. coli isolates isolated from the periphyton, lakewater, goose feces and sewage samples in or around Boulevard Lake. The percentage of E. coli isolates in the sewage (37 isolates), goose (38 isolates), periphyton (75 isolates) and lakewater (76 and 80 isolates collected in 2010 and 2014 respectively) samples that contained one or more virulence gene(s) were 48.5, 28.9, 2.6, 5.3 and 5.0 % respectively. The results indicate that the periphytons were likely to be the major source of E. coli in Boulevard Lake. Furthermore, with the exception of two potential diarrheagenic E. coli isolates from the sewage (with hl gene) and 2014 lakewater (with bfpA gene) samples, all the virulence gene-positive isolates belonged to the uropathogenic E. coli pathotype.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.873
Threshold uncertainty score0.252

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.046
GPT teacher head0.284
Teacher spread0.238 · 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 designBench or experimental
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

Citations0
Published2016
Admission routes1
Has abstractyes

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