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. 2022 Nov 8;11(22):3554. doi: 10.3390/foods11223554

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© 2022 by the authors.

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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Random Forest analysis displaying the relationship between virulence genes and resistance status for each antibiotic (n = 177). Plots display the predominant genes determining the resistance phenotypes through the MeanDecreaseGini value. Prediction of predominant virulence genes for all isolates that have a resistance to a specific antibiotic was observed as follows: (A) Amoxicillin, (B) Ampicillin, (C) Nalidixic Acid, (D) Ciprofloxacin, (E) Erythromycin, (F) Tetracycline, (G) Chloramphenicol, (H) Gentamicin.

Random Forest analysis displaying the relationship between virulence genes and resistance status for each antibiotic (n = 177). Plots display the predominant genes determining the resistance phenotypes through the MeanDecreaseGini value. Prediction of predominant virulence genes for all isolates that have a resistance to a specific antibiotic was observed as follows: (A) Amoxicillin, (B) Ampicillin, (C) Nalidixic Acid, (D) Ciprofloxacin, (E) Erythromycin, (F) Tetracycline, (G) Chloramphenicol, (H) Gentamicin.