Tuberculosis remains a leading cause of death worldwide, despite the availability of effective chemotherapy and a vaccine. Bacillus Calmette-Gué rin (BCG), the tuberculosis vaccine, is an attenuated mutant of Mycobacterium bovis that was isolated after serial subcultures, yet the functional basis for this attenuation has never been elucidated. A single region (RD1), which is absent in all BCG substrains, was deleted from virulent M. bovis and Mycobacterium tuberculosis strains, and the resulting ⌬RD1 mutants were significantly attenuated for virulence in both immunocompromised and immunocompetent mice. The M. tuberculosis ⌬RD1 mutants were also shown to protect mice against aerosol challenge, in a similar manner to BCG. Interestingly, the ⌬RD1 mutants failed to cause cytolysis of pneumocytes, a phenotype that had been previously used to distinguish virulent M. tuberculosis from BCG. A specific transposon mutation, which disrupts the Rv3874 Rv3875 (cfp-10 esat-6) operon of RD1, also caused loss of the cytolytic phenotype in both pneumocytes and macrophages. This mutation resulted in the attenuation of virulence in mice, as the result of reduced tissue invasiveness. Moreover, specific deletion of each transcriptional unit of RD1 revealed that three independent transcriptional units are required for virulence, two of which are involved in the secretion of ESAT-6 (6-kDa early secretory antigenic target). We conclude that the primary attenuating mechanism of bacillus Calmette-Gué rin is the loss of cytolytic activity mediated by secreted ESAT-6, which results in reduced tissue invasiveness. B acillus Calmette-Guérin (BCG) was first isolated fromMycobacterium bovis after serial subculturing in ox bile medium (1, 2), when Drs. Calmette and Guérin set out to test the hypothesis that a bovine tubercle bacillus could transmit pulmonary tuberculosis after oral administration (1, 3, 4). However, unexpectedly after the 39th passage, the strain was unable to kill experimental animals (1, 2), and showed no reversion to virulence even after the authors had performed over 200 passages (3), which is consistent with the attenuating mutation being a deletion mutation. In proceeding studies, BCG was determined to be able to protect animals receiving a lethal challenge of virulent tubercle bacilli (5), and in 1921 was first used as an anti-tuberculous vaccine (6). Presently, an estimated 3 billion doses have been used to vaccinate the human population against tuberculosis, yet the mechanism that causes the attenuation of BCG remains unknown.Mahairas et al. (6) first compared the genomic sequences of BCG and M. bovis, by using subtractive hybridization, and found that there were three regions of difference (designated RD1, RD2, and RD3) present in the genome of M. bovis, but missing in BCG. Behr et al. (7), and others (8), later identified 16 large deletions, including RD1-RD3, which were present in the Mycobacterium tuberculosis genome but absent in BCG. Eleven of these 16 deletions were unique to M. bovis whereas the remaining 5 del...

The high-temperature requirement A (HtrA) family of serine proteases has been shown to play an important role in the environmental and cellular stress damage control system in Escherichia coli. Mycobacterium tuberculosis ( Mtb) has three putative HtrA-like proteases, HtrA1, HtrA2, and HtrA3. The deletion of htrA2 gives attenuated virulence in a mouse model of TB. Biochemical analysis reveals that HtrA2 can function both as a protease and as a chaperone. The three-dimensional structure of HtrA2 determined at 2.0 A resolution shows that the protease domains form the central core of the trimer and the PDZ domains extend to the periphery. Unlike E. coli DegS and DegP, the protease is naturally active due to the formation of the serine protease-like catalytic triad and its uniquely designed oxyanion hole. Both protease and PDZ binding pockets of each HtrA2 molecule are occupied by autoproteolytic peptide products and reveal clues for a novel autoregulatory mechanism that might have significant importance in HtrA-associated virulence of Mtb.

Until recently, traditional serology and the Kauffmann White Scheme (KWS) have been the gold standard for Salmonella serotyping. Whole Genome Sequencing (WGS) has now emerged as an alternative in this field. Serotype information remains a cornerstone in food safety and public health activities to reduce the burden of salmonellosis. At the same time, recent advances in WGS have improved the ability to perform advanced pathogen characterization while improving trace back investigations to determine the source of foodborne illness during outbreaks. Serovar prediction based on WGS can be performed using in silico data analysis tools. Three such tools have been developed: (a). Salmonella in silico Typing Resource (SISTR), (b). SeqSero, and (c). in silico 7-gene MLST ST (Multilocus Sequence Typing Sub-Typing) which was generated using the SISTR platform. Public health officials around the world are diligently working to validate these tools for replacing traditional surveillance methods to provide a more powerful approach for molecular epidemiology in support of public health investigations. In this study, we report a retrospective analysis of our laboratory inventory of 1,041 Salmonella isolates collected between 1999 and 2017. These isolates are of public health significance since they all came from either food, feed or environmental swabs. They were all serotyped by both traditional serology and WGS using an in silico SeqSero tool for serovar prediction. Both predicted identical Salmonella serotypes in 899 isolates (86.4% of the 1,041 Salmonella isolates). SeqSero assignments differed from traditional serological testing in 80 isolates (7.7%) and no serotype prediction was ascertained from 62 isolates (5.9%). This retrospective study is an excellent example of using WGS and SeqSero as a data analysis tool to predict Salmonella serotypes that can provide numerous advantages including molecular and genetic details regarding the characteristics of the Salmonella isolates compared to traditional KWS serotyping. In conclusion, it is evident that using WGS and in silico tools for Salmonella serotyping might someday replace traditional serotyping.

Five doses of inactivated Mycobacterium vaccae vaccine were administered intradermally to 22 human immunodeficiency virus (HIV)-infected patients (11 bacille Calmette-Guérin [BCG]-positive and 11 BCG-negative) in Zambia whose CD4 lymphocyte counts were >/=200 cells/mm(3). HIV viral load and lymphocyte proliferation responses were compared for vaccine recipients and 22 HIV-infected control patients (11 BCG-positive and 11 BCG-negative). Immunization was safe and well tolerated in all patients, and induration at the vaccine site decreased from dose 1 to dose 5. A transient decrease in HIV viral load was observed in BCG-positive vaccine recipients after dose 3 but not after subsequent doses. Median lymphocyte stimulation indices to M. vaccae were 6.0 in vaccine recipients and 2.3 in control patients (P<.001). Stimulation indices were >/=3.0 in 19 vaccine recipients (86%) and 7 control patients (32%; P=.001). A 5-dose series of vaccination with inactivated M. vaccae is safe in HIV-infected patients and induces lymphocyte proliferation responses to the vaccine antigen. M. vaccae vaccine is a candidate for the prevention of tuberculosis in HIV infection.

Food microbiome composition impacts food safety and quality. The resident microbiota of many food products is influenced throughout the farm to fork continuum by farming practices, environmental factors, and food manufacturing and processing procedures. Currently, most food microbiology studies rely on culture-dependent methods to identify bacteria. However, advances in high-throughput DNA sequencing technologies have enabled the use of targeted 16S rRNA gene sequencing to profile complex microbial communities including non-culturable members. In this study we used 16S rRNA gene sequencing to assess the microbiome profiles of plant and animal derived foods collected at two points in the manufacturing process; post-harvest/pre-retail (cilantro) and retail (cilantro, masala spice mixes, cucumbers, mung bean sprouts, and smoked salmon). Our findings revealed microbiome profiles, unique to each food, that were influenced by the moisture content (dry spices, fresh produce), packaging methods, such as modified atmospheric packaging (mung bean sprouts and smoked salmon), and manufacturing stage (cilantro prior to retail and at retail). The masala spice mixes and cucumbers were comprised mainly of Proteobacteria, Firmicutes, and Actinobacteria. Cilantro microbiome profiles consisted mainly of Proteobacteria, followed by Bacteroidetes, and low levels of Firmicutes and Actinobacteria. The two brands of mung bean sprouts and the three smoked salmon samples differed from one another in their microbiome composition, each predominated by either by Firmicutes or Proteobacteria. These data demonstrate diverse and highly variable resident microbial communities across food products, which is informative in the context of food safety, and spoilage where indigenous bacteria could hamper pathogen detection, and limit shelf life.

Natural killer (NK) cells express two distinct surface receptors capable of triggering cytolytic effector function. The first is CD16, an immunoglobulin Fc receptor that allows NK cells to mediate antibody-dependent killing (ADCC). NK cells express CD16 in association with zeta, a signal-transducing subunit that is also a component of the T cell receptor complex. Activation of NK cells via CD16 results in tyrosine phosphorylation of zeta. The second NK cell triggering receptor is CD2, a 50-55-kDa cell surface molecule that is also expressed on T cells. Here we show that NK cell activation induced by mAb reactive with CD2 (either anti-T11.1 alone or with anti-T11.2 in combination) also results in the tyrosine phosphorylation of zeta. Our results indicate that CD2 is functionally linked to the CD16-zeta complex and suggest that the zeta subunit plays a central role in the signal transduction pathways utilized by NK cells.

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