An insight into the characterization of L2 Beijing multi-drug resistant tuberculosis: Description of resistance-associated-variants and discovery of Modern 7 L2 sublineage
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引用次数: 0
Abstract
Drug-resistant tuberculosis (TB) complicates global efforts toward TB elimination. However, the introduction of new and repurposed drugs— particularly the all-oral BPaL regimen (bedaquiline, pretomanid, and linezolid)—has raised hopes due to its favorable treatment outcomes for multidrug-resistant (MDR) and extensively drug-resistant (XDR) TB. Susceptibility to these new drugs may vary depending on the lineage of the Mycobacterium tuberculosis (MTB) strain. Within the framework of a research project investigating the association between potential resistance-associated nucleotide variants and MTB lineages, we used the proprietary pipeline TB-Annotator to analyze 125,000 publicly available Short Read Archive datasets from NCBI.
We identified 65 mutations across 65 clonal complexes of the lineage 2 (L2), that share at least one SNP within a list of 14 genes potentially involved in drug resistance to BPaL. During this large-scale genomic screening, we identified a previously uncharacterized clonal complex of 49 SRAs that did not belong to any previously described ancient or modern L2-sublineages (modern 1 to modern 6). We therefore performed a comparative genomic analysis on a representative set of L2 isolates to fully characterize this group. These 49 SRAs are found in an independent branch of the L2 phylogenetic tree. They share 4 SNPs, including an Ile-to-Leu substitution in the product of fbiD, and are organized into two subclusters, with an intra-sublineage SNP distance of around 150 ± 50 SNPs. We named this novel sublineage L2.2-M7. Further functional validation—through phenotypic drug susceptibility testing and gene replacement—is needed to determine whether this fbiD mutation confers resistance to pretomanid. Global genomic surveillance of this emerging sublineage is warranted to monitor its spread and clinical relevance in the era of new TB treatment regimens.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .