Seasonal ability of biofilm formation of Listeria monocytogenes strains isolated from slaughterhouses in Quebec
Bibliographic record
Abstract
Listeria monocytogenes is a pathogenic bacterium found in the environment and food.It causes Listeriosis, a serious disease that presents largest fatality rate among foodborne illness.The persistence of these bacteria in food processing plants, favoured by biofilm formation is a major problem both for industry and public health.The aim of the study was to compare strains isolated from three sectors in slaughterhouses for their ability to form biofilms.The strains were isolated from holding pens, slaughtering, and cutting in 4 slaughterhouses and for 3 different periods of the year.Biofilm formation analyses were performed for 186 strains under static conditions at 30 °C for 48 hours and 7 °C for 15 days, frequent temperature in meat processing plants.Biomass production in BHI is measured in microplates after staining with crystal violet and measuring the absorbance at 595 nm, the data is normalized to obtain inter strain comparability in 96 well plate.Results show significant difference in biofilm formation between strains according to the period of sampling and origin of strains (slaughterhouse).Biofilm formation by strains belonging to the sampling of period 2 (February to May 2014) were greater than in summer 2015 at 30 °C (p<0,0001) and at 7°C (p=0,019).Strains isolated from plants 1 and 2 produced more biomass than those collected from plant 4 at 30°C (p=0,0015) and 7°C, biofilm formation in isolates from plants 1and 2 were greater than in strains from plants 3 and 4 (p<0,0001).No difference in biofilm formation ability was revealed depending on the place sampled in the plant (holding pens, slaughter or cutting rooms), whatever the temperature tested.Among strains studied here, strong differences in biofilm forming ability were identified; these results are the beginning of our investigation aiming to answer the question of strain persistence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".