Isolation, discrimination, and molecular detection of Listeria species from slaughtered cattle in Namwala District, Zambia

• Published in: BMC microbiology 2022-06, Vol.22 (1), p.1-160, Article 160
• Main Authors: Mpundu, Prudence, Muma, John Bwalya, Mukumbuta, Nawa, Mukubesa, Andrew Nalishuwa, Muleya, Walter, Kapila, Penjaninge, Hang'ombe, Bernard Mudenda, Munyeme, Musso
• Format: Article
• Language: English
• Subjects: Abattoirs; Analysis; Bacteria; Beef; Beef carcasses; Beef cattle; Biochemical characteristics; Biochemistry; Carcasses; Care and treatment; Cattle; Contamination; Diagnosis; Dry season; Food; Food contamination; Food contamination & poisoning; Food industry; Food safety; Homogeneity; Listeria; Listeria species; Listeriosis; Meat industry; Pathogens; Phenotypic; Phylogeny; Physical characteristics; Prevention; Provinces; Rainy season; Regression models; Risk factors; Safety and security measures; Sample size; Seasonal variations; Seasons; Species; Womens health; Zoonoses
• ISSN: 1471-2180; 1471-2180
• DOI: 10.1186/s12866-022-02570-6

The food industry is increasingly becoming more scrutinized, given the frequency and intensity with which zoonotic diseases are being reported. Pathogen tracking has become more applicable with regards food safety. It is in this regard that the present study was formulated to track Listeria species. in freshly slaughtered cattle carcasses by utilizing standard and molecular biological techniques. A cross-sectional study design was conducted from March to December 2020 with 200 samples being equally collected in the rainy and dry seasons. A total of 180 and 20 swabs were aseptically collected from carcasses and the environment respectively. Samples were first subjected to pre-enrichment in half-strength Fraser broth followed by enrichment in full strength Fraser broth and subsequent plating on Listeria agar. Listeria growth characteristics were identified up to species level based on their morphological and biochemical characteristics. Further, molecular detection and phylogenetic analysis was conducted. Quantitative proportionate survey data were analyzed using Stata Version 15 software to estimate crude prevalence taking into account complex design at abattoir level. Factors associated with contamination were characterized using logistic regression. Sequences were analyzed using, Genetyyx version 12 and phylogenetic Mega. Of the 200 samples, 19 were positive for Listeria species identified as L.innocua 14/19 (73.7%) and L. monocytogenes 5/19 (26.3%). All isolates were from freshly slaughtered carcasses, and none from environment. Siginificant differences in contamination levels were observed based on season: rainy season yielded 14 (73.6%) whilst the dry season 5 (26.3%). The L. monocytogenes strains showed a high degree of homogeneity on phylogenetic analysis and clustered based on abattoir. Seasonality was identified as a major determinant influencing contamination based on the final logistic regression model. This study found evidence of L. monocytogenes contamination on traditionally raised beef carcasses across various abattoirs surveyed. The failure to find Listeria contamination on the abattoir environment may to a greater extent intimate cattle carccases as primary sources of contamination. However, a more comprerehnsive study incorporating different geographical regions is needed to conclusively ascertain these present findings.