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Published on: December 7, 2021
Development of Mycoplasma synoviae (MS) core genome multilocus sequence typing (cgMLST) scheme
Mostafa Ghanem1, Mohamed El-Gazzar2
1Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH 43210, USA; Faculty of Veterinary Medicine, Alexandria University, Rasheed El-Mahmoudeya, Markaz Rasheed, El Beheira Governorate, P.O. Box 22758, Egypt.
A new core genome multilocus sequence typing (cgMLST) scheme offers a standardized method for identifying Mycoplasma synoviae (MS) strains. This highly discriminatory approach improves poultry disease outbreak investigations and global strain comparison.
Area of Science:
- Veterinary Microbiology
- Genomics
- Epidemiology
Background:
- Mycoplasma synoviae (MS) is an increasingly prevalent and virulent poultry pathogen.
- Accurate MS strain identification is crucial for disease control and outbreak investigations.
- Existing multilocus sequence typing (MLST) schemes lack sufficient resolution for detailed epidemiological studies.
Purpose of the Study:
- To develop and validate a standardized core genome multilocus sequence typing (cgMLST) scheme for Mycoplasma synoviae.
- To establish a reproducible whole genome sequencing-based typing method for MS.
- To assess the discriminatory power of cgMLST compared to conventional MLST schemes.
Main Methods:
- Identification of 302 core genome genes from 25 diverse MS whole genome sequences.
- Application of the developed cgMLST scheme to type 44 MS isolates from six countries.
- Phylogenetic analysis of cgMLST data and comparison with core genome SNP analysis and epidemiological information.
Main Results:
- The cgMLST scheme targets 302 core genes, representing 35.5% of the MS genome.
- cgMLST phylogenetic trees showed high concordance with SNP-based analysis and epidemiological data.
- cgMLST demonstrated superior discriminatory power, differentiating isolates within the same conventional MLST type.
Conclusions:
- cgMLST provides a standardized, accurate, and highly discriminatory method for typing Mycoplasma synoviae isolates.
- The scheme enables reproducible strain differentiation and facilitates global data sharing through a stable nomenclature.
- cgMLST significantly enhances the capability for poultry disease outbreak investigations and epidemiological surveillance.
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