Abstract:
:The Beijing genotype comprises a highly disseminated strain type that is frequently associated with multidrug resistant (MDR) tuberculosis (TB) and increased transmissibility but, countries such as Portugal and Guinea-Bissau fall outside the regions phylogeographically associated with this specific genotype. Nevertheless, recent data shows that this genotype might be gradually emerging in these two countries as an underlying cause of primary MDR-TB. Here, we describe the emergence of Mycobacterium tuberculosis Beijing strains associated with MDR-TB in Portugal and Guinea-Bissau demonstrating the presence of the well described superclusters 100-32 and 94-32 in Portugal and Guinea-Bissau, respectively. Genome-wide analysis and comparison with a global genomic dataset of M. tuberculosis Beijing strains, revealed the presence of two genomic clusters encompassing isolates from Portugal and Guinea-Bissau, GC1 (n = 121) and GC2 (n = 39), both of which bore SNP signatures compatible with the 100-32/B0/W148 and 94-32/Central Asia Outbreak clades, respectively. Moreover, GC2 encompasses a cross-border cluster between Portugal, Guinea-Bissau and Brazil thus supporting migration-associated introduction of MDR-TB and subsequent clonal expansion at the community-level. The comparison with global Beijing datasets demonstrates the global reach of the disease and its complex dissemination across multiple countries while in parallel there are clear microevolutionary trajectories towards extensively drug resistant TB.
journal_name
Emerg Microbes Infectjournal_title
Emerging microbes & infectionsauthors
Perdigão J,Silva C,Maltez F,Machado D,Miranda A,Couto I,Rabna P,Florez de Sessions P,Phelan J,Pain A,McNerney R,Hibberd ML,Mokrousov I,Clark TG,Viveiros M,Portugal Idoi
10.1080/22221751.2020.1774425subject
Has Abstractpub_date
2020-12-01 00:00:00pages
1342-1353issue
1issn
2222-1751journal_volume
9pub_type
杂志文章abstract::Unlike those infected by H5N1, birds infected by the newly discovered H7N9 virus have no observable clinical symptoms. Public health workers in China do not know where the public health threat lies. In this study, we used a distributed focused crawler to analyze online knowledge of the live bird trade in first-wave pr...
journal_title:Emerging microbes & infections
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journal_title:Emerging microbes & infections
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journal_title:Emerging microbes & infections
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pub_type: 杂志文章
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