Tuberculosis (TB), caused by Mycobacterium tuberculosis
(Mtb), remains a serious global health problem in the 21st
century because of its high mortality. Mtb is an extremely
successful human-adapted pathogen that displays a multifactorial
ability to control the host immune response and to
evade killing by drugs, resulting in the breakdown of BCG
vaccine-conferred anti-TB immunity and development of
multidrug-resistant (MDR) and extensively drug-resistant
(XDR) Mtb. Although genetic components of the genomes
of the Mtb complex strains are highly conserved, showing
over 99% similarity to other bacterial genera, recently accumulated
evidence suggests that the genetic diversity of the
Mtb complex strains has implications for treatment outcomes,
development of MDR/XDR Mtb, BCG vaccine efficacy,
transmissibility, and epidemiological outbreaks. Thus, new
insights into the pathophysiological features of the Mtb complex
strains are required for development of novel vaccines
and for control of MDR/XDR Mtb infection, eventually leading
to refinement of treatment regimens and the health care
system. Many studies have focused on the differential identification
of Mtb complex strains belonging to different lineages
because of differences in their virulence and geographical
dominance. In this review, we discuss the impact of
differing genetic characteristics among Mtb complex strains
on vaccine efficacy, treatment outcome, development of MDR/
XDR Mtb strains, and epidemiological outbreaks by focusing
on the best-adapted human Mtb lineages. We further
explore the rationale for differential identification of Mtb
strains for more effective control of TB in clinical and laboratory
settings by scrutinizing current diagnostic methods.
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A review of published spoligotype data indicates the diversity of Mycobacterium tuberculosis from India is under-represented in global databases Husain Poonawala, Narender Kumar, Sharon J. Peacock Infection, Genetics and Evolution.2020; 78: 104072. CrossRef
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Immunogenicity and Vaccine Potential of InsB, an ESAT-6-Like Antigen Identified in the Highly Virulent Mycobacterium tuberculosis Beijing K Strain Woo Sik Kim, Hongmin Kim, Kee Woong Kwon, Sang-Nae Cho, Sung Jae Shin Frontiers in Microbiology.2019;[Epub] CrossRef
Molecular characterisation of multidrug-resistantMycobacterium tuberculosisisolates from a high-burden tuberculosis state in Brazil R. S. Salvato, S. Schiefelbein, R. B. Barcellos, B. M. Praetzel, I. S. Anusca, L. S. Esteves, M. L. Halon, G. Unis, C.F. Dias, S. S. Miranda, I. N. de Almeida, L. J. de Assis Figueredo, E. C. Silva, A. L. Kritski, E. R. Dalla Costa, M. L. R. Rossetti Epidemiology and Infection.2019;[Epub] CrossRef
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In this study, the genetic diversities of multi-resistant Salmonella typhimurium (ST) isolates were
analyzed via the application of both pulsed field gel electrophoresis (PFGE) and Polymerase chain
reaction (PCR) analysis methods, using 6 kinds of primers (REP, ERIC, SERE, BOX, P-1254 and
OPB-17). And their discriminative abilities (DA) were also compared in order to determine the
most effective and reliable analysis method. 118 S. typhimurium isolates, cultured from diverse animals
and human patients in Korea beginning in 1993, were analyzed and subjected to a comparison
of Simpson’s index of diversity (SID), using both PFGE and PCR methods. PFGE by XbaI
enzyme digestion allowed for discrimination into 9 pulsotypes, with high SID values (0.991) on the
genomic DNA level. This shows that PFGE is a very discriminative genotypic tool, and also that
multiple clones of S. typhimurium isolates had existed in domestic animals and humans in Korea
since 1993. However, we could ultimately not to trace the definitive sources or animal reservoirs
of specific S. typhimurium isolates examined in this study. Depending on the SID values, the combined method (7 kinds of method) was found to be the most discriminative method, followed by
(in order) SERE-PCR, REP-PCR, ERIC-PCR, PFGE & OPB-17 (RAPD), P-1254 (RAPD), and
BOX-PCR at the 80% clone cut-off value. This finding suggests that the REP-PCR method
(which utilizes 4 primer types) may be an alternative tool to PFGE for the genotyping of S. typhimurium
isolates, with comparable cost, time, and labor requirement. The establishment of a highly
reliable and discriminatory method for epidemiologic analysis is considered necessary in order
for researchers to trace the sources of specific pathogens and, consequently, to control and prevent
the spread of epidemic S. typhimurium isolates to humans.
In an attempt to develop a method for rapid and accurate identification of six Vibrio species that are clinically important and most frequently detected in Korea, 16S rDNA restriction fragment length polymorphism (RFLP) of Vibrio type strains, as well as environmental isolates obtained from the Korean coastal area, was analyzed using ten restriction endonucleases. Digestion of the 16S rDNA fragments amplified by polymerase chain reaction (PCR) with the enzymes gave rise to 2~6 restriction patterns for each digestion for 47 Vibrio strains and isolates. An additional 2~3 restriction patterns were observed for five reference species, including Escherichia coli, Aeromonas hydrophila, A. salmonicida, Photobacterium phosphoreum, and Plesiomonas shigelloides. A genetic distance tree based on RFLP of the bacterial species correlated well with that based on 16S rDNA sequences. The very small 16S rDNA sequence difference (0.1%) between V. alginolyticus and V. parahaemolyticus was resolved clearly by RFLP with a genetic distance of more than 2%. RFLP variation within a species was also detected in the cases of V. parahaemolyticus, V. proteolyticus, and V. vulnificus. According to the RFLP analysis, six Vibrio and five reference species were assigned to 12 genotypes. Using three restriction endonucleases to analyze RFLP proved sufficient to identify the six pathogenic Vibrio species.