Whole Genome Sequence Analysis of Listeria monocytogenes Isolates Obtained from the Beef Production Chain in Gauteng Province, South Africa

Author:

Gana James12ORCID,Gcebe Nomakorinte3,Pierneef Rian Edward456,Chen Yi7,Moerane Rebone1ORCID,Adesiyun Abiodun Adewale18ORCID

Affiliation:

1. Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Private Bag X04, Onderstepoort, Pretoria 0110, South Africa

2. Department of Agricultural Education, Federal College of Education, Kontagora 923101, Niger State, Nigeria

3. Bacteriology Department, Onderstepoort Veterinary Research, Agricultural Research Council, Pretoria 0110, South Africa

4. Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0001, South Africa

5. Centre for Bioinformatics and Computational Biology, University of Pretoria, Pretoria 0001, South Africa

6. Microbiome@UP, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria 0001, South Africa

7. Center for Food Safety and Applied Nutrition, US Food and Drug Administration, 5001 Campus Dr. Room 4E-007/Mailstop HFS-710, College Park, MD 20740, USA

8. School of Veterinary Medicine, Faculty of Medical Sciences, University of the West Indies, St. Augustine 685509, Trinidad and Tobago

Abstract

The study used whole-genome sequencing (WGS) and bioinformatics analysis for the genomic characterization of 60 isolates of Listeria monocytogenes obtained from the beef production chain (cattle farms, abattoirs, and retail outlets) in Gauteng province, South Africa. The sequence types (STs), clonal complexes (CCs), and the lineages of the isolates were determined using in silico multilocus sequence typing (MLST). We used BLAST-based analyses to identify virulence and antimicrobial genes, plasmids, proviruses/prophages, and the CRISPR-Cas system. The study investigated any association of the detected genes to the origin in the beef production chain of the L. monocytogenes isolates. Overall, in 60 isolates of Listeria monocytogenes, there were seven STs, six CCs, forty-four putative virulence factors, two resistance genes, one plasmid with AMR genes, and three with conjugative genes, one CRISPR gene, and all 60 isolates were positive for proviruses/prophages. Among the seven STs detected, ST204 (46.7%) and ST2 (21.7%) were the most prominent, with ST frequency varying significantly (p < 0.001). The predominant CC detected were CC2 (21.7%) and CC204 (46.7%) in lineages I and II, respectively. Of the 44 virulence factors detected, 26 (across Listeria Pathogenicity Islands, LIPIs) were present in all the isolates. The difference in the detection frequency varied significantly (p < 0.001). The two AMR genes (fosX and vga(G)) detected were present in all 60 (100%) isolates of L. monocytogenes. The only plasmid, NF033156, was present in three (5%) isolates. A CRISPR-Cas system was detected in six (10%), and all the isolates carried proviruses/prophages. The source and sample type significantly affected the frequencies of STs and virulence factors in the isolates of L. monocytogenes. The presence of fosX and vga(G) genes in all L. monocytogenes isolates obtained from the three industries of the beef production chain can potentially cause therapeutic implications. Our study, which characterized L. monocytogenes recovered from the three levels in the beef production chain, is the first time genomics was performed on this type of data set in the country, and this provides insights into the health implications of Listeria.

Funder

Red Meat Research and Development, South Africa

Publisher

MDPI AG

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