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Development of a hierarchical typing approach for Mycobacterium avium subsp. paratuberculosis (MAP) and characterization of MAP field cultures from Central Germany
Author(s) -
Fawzy A.,
Zschöck M.,
Ewers C.,
Eisenberg T.
Publication year - 2020
Publication title -
journal of applied microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 1364-5072
DOI - 10.1111/jam.14722
Subject(s) - paratuberculosis , mycobacterium avium subsp. paratuberculosis , mycobacterium , typing , biology , microbiology and biotechnology , field (mathematics) , genetics , bacteria , mathematics , pure mathematics
Aims Development of a novel hierarchical Mycobacterium avium subsp. paratuberculosis (MAP) typing approach and characterization of MAP field cultures in Central Germany. Methods and Results By combining single nucleotide polymorphisms (SNPs) and mycobacterial interspersed repetitive unit‐variable number tandem repeat, we developed a highly discriminating and phylogenetically accurate hierarchical MAP typing approach. Moreover, a novel stepwise workflow was employed to reduce the number of SNP reactions required making the typing approach more affordable. MAP field cultures ( n = 142) from dairy herds in Central Germany were classified as cattle type and showed a high level of heterogeneity. Intra‐herd multiple genotypes were evident in (13–25%) of the investigated herds. Conclusions The hierarchical MAP typing approach proved to be useful in fine discrimination between MAP cultures within limited geographical regions. This could potentially be used in unravelling MAP transmission chains in the respective regions. The observed heterogeneity in some herds is assumed to be due to either multiple introductions through inter‐herd trade or intra‐herd evolution over time. Significance and Impact of the Study Future MAP epidemiological studies will benefit from the advantages of the novel hierarchical typing approach. The SNP number reduction approach employed here could be extrapolated for other analogous pathogens.