Comparative genomics of Listeria species isolated from the meat processing chain in South Africa

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dc.contributor.advisor Reva, Oleg N.
dc.contributor.coadvisor Pierneef, Rian E.
dc.contributor.postgraduate Mafuna, Thendo
dc.date.accessioned 2022-12-07T10:31:46Z
dc.date.available 2022-12-07T10:31:46Z
dc.date.created 2023-04-23
dc.date.issued 2022
dc.description Thesis (PhD (Bioinformatics))--University of Pretoria, 2022. en_US
dc.description.abstract This thesis, Comparative genomics of Listeria species isolated from the meat processing chain in South Africa, explores the applications of Whole Genome Sequencing (WGS) of meat products isolated from food and food processing facilities to enhance understanding of the overall distribution of genomic elements that contribute toward the pathogenicity and survival of Listeria spp. including L. monocytogenes, L. innocua, and L. welshimeri in food and food processing environments. The work in this thesis adds to the exponentially increasing body of evidence on the pathogen surveillance application of WGS in food industries. This study is to date the largest to report baseline data on the presence of Listeria spp. including L. monocytogenes, L. innocua, and L. welshimeri’s serogroups, lineages, Sequence Types, and Clonal Complexes across the meat value chain in SA. This study further highlights the association of multiple STs of Listeria spp. to different meat products in SA and their resistance and virulence traits as well as genetic mutations of certain subgroups found in food products. This study also showed how these pathogens thrive in different environments and conditions by developing tolerance and resistance against such factors. This thesis further explores the development of a rapid online tool for sequence typing of Listeria spp. from Next Generation Sequencing raw data The insights from this work directly informed the incorporation of WGS into the national surveillance of Listeria spp. and the information generated here can be used in food safety risk assessment, management, and protection public health. en_US
dc.description.availability Unrestricted en_US
dc.description.degree PhD (Bioinformatics) en_US
dc.description.department Biochemistry, Genetics and Microbiology (BGM) en_US
dc.description.sponsorship Department of Agriculture, Forestry and Fisheries (DAFF) en_US
dc.description.sponsorship Agricultural Research Council (ARC) en_US
dc.description.sponsorship National Research Foundation (NRF) en_US
dc.identifier.citation * en_US
dc.identifier.doi https://doi.org/10.25403/UPresearchdata.21682877 en_US
dc.identifier.other A2023
dc.identifier.uri https://repository.up.ac.za/handle/2263/88689
dc.identifier.uri DOI: https://doi.org/10.25403/UPresearchdata.21682877
dc.language.iso en en_US
dc.publisher University of Pretoria
dc.rights © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
dc.subject UCTD en_US
dc.subject Comparative genomics en_US
dc.subject Listeria en_US
dc.subject Meat processing chain en_US
dc.subject Food industry en_US
dc.subject Whole genome sequencing (WGS) en_US
dc.subject Food industry en_US
dc.title Comparative genomics of Listeria species isolated from the meat processing chain in South Africa en_US
dc.type Thesis en_US


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