RT Journal Article
T1 Genomic comparison between Mycobacterium bovis and Mycobacterium microti and in silico analysis of peptide-based biomarkers for serodiagnosis
A1 Moens, Charlotte
A1 Bogaerts, Bert
A1 Lorente Leal, Víctor
A1 Vanneste, Kevin
A1 De Keersmaecker, Sigrid C. J.
A1 Roosens, Nancy H. C.
A1 Mostin, Laurent
A1 Fretin, David
A1 Marché, Sylvie
AB In recent years, there has been an increase in the number of reported cases of Mycobacterium microti infection in various animals, which can interfere with the ante-mortem diagnosis of animal tuberculosis caused by Mycobacterium bovis. In this study, whole genome sequencing (WGS) was used to search for protein-coding genes to distinguish M. microti from M. bovis. In addition, the population structure of the available M. microti genomic WGS datasets is described, including three novel Belgian isolates from infections in alpacas. Candidate genes were identified by examining the presence of the regions of difference and by a pan-genome analysis of the available WGS data. A total of 80 genes showed presence-absence variation between the two species, including genes encoding Proline-Glutamate (PE), Proline-Proline-Glutamate (PPE), and Polymorphic GC-Rich Sequence (PE-PGRS) proteins involved in virulence and host interaction. Filtering based on predicted subcellular localization, sequence homology and predicted antigenicity resulted in 28 proteins out of 80 that were predicted to be potential antigens. As synthetic peptides are less costly and variable than recombinant proteins, an in silico approach was performed to identify linear and discontinuous B-cell epitopes in the selected proteins. From the 28 proteins, 157 B-cell epitope-based peptides were identified that discriminated between M. bovis and M. microti species. Although confirmation by in vitro testing is still required, these candidate synthetic peptides containing B-cell epitopes could potentially be used in serological tests to differentiate cases of M. bovis from M. microti infection, thus reducing misdiagnosis in animal tuberculosis surveillance.
PB Frontiers Media
SN 2297-1769
YR 2024
FD 2024
LK https://hdl.handle.net/20.500.14352/108819
UL https://hdl.handle.net/20.500.14352/108819
LA eng
NO Moens C*, Bogaerts B, Lorente-Leal V, Vanneste K, Keersmaeecker SCJ, Roosens NHC, Mostin L, Fretin D and Marche S. Genomic comparison between Mycobacterium bovis and Mycobacterium microti and in silico analysis of peptide-based biomarkers for serodiagnosis. Frontiers in veterinary science, 11:1446930. 2024. (A). ISSN: 2297-1769. Impact factor 2023: 2.600. Category: Veterinary Sciences, Quartile: 1, Position: 22 of 167. DOI: 10.3389/fvets.2024.1446930
DS Docta Complutense
RD 16 abr 2025