Aminoglycoside modifying enzymes (AMEs) are major factors which confer aminoglycoside resistance on bacteria. Distribution of genes encoding seven AMEs was investigated by multiplex PCR for 279 recent clinical isolates of enterococci derived from a university hospital in Japan. The aac(6')-aph(2"), which is related to high level gentamicin resistance, was detected at higher frequency in Enterococcus faecalis (42.5%) than in Enterococcus faecium (4.3%). Almost half of E. faecalis and E. faecium isolates possessed ant(6)-Ia and aph(3')-IIIa. The profile of AME gene(s) detected most frequently in individual strains of E. faecalis was aac(6')aph(2") + ant(6)-Ia + aph(3')-IIIa, and isolates with this profile showed high level resistance to both gentamicin and streptomycin. In contrast, AME gene profiles of aac(6')-Ii+ ant(6)-Ia+aph(3')-IIIa, followed by aac(6')-Ii alone, were predominant in E. faecium. Only one AME gene profile of ant(6)-Ia+aph(3')-IIIa was found in Enterococcus avium. The ant(4')-Ia and ant(9)-Ia, which have been known to be distributed mostly among Staphylococcus aureus strains, were detected in a few enterococcal strains. An AME gene aph(2")-Ic was not detected in any isolates of the three enterococcal species. These findings indicated a variety of distribution profiles of AME genes among enterococci in our study site.

Transient mixed convective laminar boundary layer flow of an incompressible, viscous, dissipative, electrically conducting nanofluid from a continuously stretching permeable surface in the presence of magnetic field and thermal radiation flux is studied. The model used for the unsteadiness in the momentum, temperature, and concentration fields is based on the timedependent stretching velocity and surface temperature and concentration. Similarity transformations are used to convert the governing time-dependent nonlinear boundary layer equations for momentum, thermal energy, and concentration to a system of nonlinear ordinary coupled differential equations with appropriate boundary conditions. The transformed model is shown to be controlled by a number of thermophysical parameters, namely the magnetic parameter, thermal convective parameter, mass convective parameter, suction parameter, radiation-conduction parameter, Eckert number, Prandtl number, Lewis number, Brownian motion parameter, thermophoresis parameter, and the unsteadiness parameter. Numerical solutions are obtained with the robust Nactsheim-Swigert shooting technique together with Runge-Kutta sixthorder iteration schemes. Comparisons with previously published work are performed and are found to be in excellent agreement. The effects of selected parameters on velocity, temperature, and concentration distributions and furthermore on skin friction coefficients, heat transfer rate (Nusselt number), and mass transfer rate (Sherwood number) are presented graphically. The current study has applications in high-temperature nano-technological materials processing.

Food-borne pathogens causing infections and intoxications can affect everyone. Escherichia (E) coli is one of the major food borne bacterial pathogens. This study was conducted to investigate the prevalence of E. coli in milk, chicken meat and beef and to determine the multi-drug resistance profile of E. coli in Mymensingh district, Bangladesh. A total of 169 samples including milk (n=108), chicken meat (n=51) and beef (n=10) were collected from Bangladesh Agricultural University (BAU) dairy farm, American dairy farm, Gazipur and retail markets of municipal area during July 2016 to June 2017. E. coli were isolated and identified by colony characteristics on selective agar like Eosine-methylene blue (EMB) agar, Salmonella-Shigella (SS) agar, Gram staining, biochemical test and Polymerase Chain Reaction (PCR). The overall prevalence of E. coli in all food samples was 37.86%. A total of 32 (29.63%) milk, 25 (49.02%) chicken meat and 07 (70%) beef samples were E. coli positive through conventional method. Among 64 samples only 23 samples (35.94%) were confirmed by PCR. Multi-drug resistant E. coli were detected by disc diffusion test using 10 commonly used antibiotics. Antibiogram study showed that E. coli isolated from chicken meat were resistant to oxytetracycline (92%), sulphonamide-trimethoprim (84%), amoxycillin (76%) and erythromycin (60%). E. coli isolated from beef sample were resistant to erythromycin (85.71%) and oxytetracycline (71.43%) and sensitive to ciprofloxacin (100%), gentamicin (100%) and neomycin (100%). However, all isolates of E. coli were found sensitive to amikacin (100%). E. coli isolated from milk sample were 100% sensitive to gentamicin followed by neomycin, ciprofloxacin, azithromycin, oxytetracycline and erythromycin. Overall 50% of E. coli isolates of food were found multi-drug resistant. About 28.13%, 57.14% and 76% of the E. coli isolates originated from milk, beef and chicken meat respectively were multi-drug resistant. The higher prevalence of E. coli in chicken meat, beef and milk indicates unhygienic production and processing of these foods. Presence of multi-drug resistant E. coli in these foods might pose serious public health threats. The antibiogram profile of the isolates will help therapeutic decision making in the treatment of colibacillosis in cattle and poultry in Bangladesh.

Group B rotaviruses detected in Bangladesh in 2000 and 2001 were analyzed genetically to clarify relatedness to human group B rotaviruses reported previously in China and India, and to animal group B rotaviruses. VP7 gene sequences of the Bangladeshi group B rotaviruses (Bang373, Bang544, Bang334, and Bang402) were almost identical to each other and also showed high sequence identity to the Indian strain CAL-1 (98%) and Chinese strain adult diarrhea rotavirus (ADRV) (92%), while identities to bovine and murine viruses were considerably low (60-63%). Other genes of Bang373 and Bang544 encoding VP2, VP4, VP6, and NSP1 through NSP5 also showed much higher sequence identities to those of CAL-1 (97.7-99.4%) than to those of ADRV (89.9-93.9%). Characterization of nucleotide substitutions among Bang373, CAL-1, and ADRV suggested that all the gene segments might have evolved neutrally at similar mutation rates, while some of the gene segments (e.g., VP2 gene) were suggested to be more conserved than others. In conclusion, group B rotaviruses detected in Bangladesh represented by Bang373 and the Indian virus CAL-1 were considered as virtually identical viruses which are distinct genetically from ADRV, and it was suggested that Bang373 (CAL-1)-like group B rotavirus (Bengali strains) might be distributed primarily in an area around the Bay of Bengal.

This study was conducted to investigate the prevalence of Salmonella spp. in milk, chicken meat and beef and to determine the multi-drug resistance (MDR) profile of Salmonella spp. in Mymensingh and Gazipur districts, Bangladesh. A total of 169 samples of milk (n=108), chicken meat (n=51) and beef (n=10) were collected from Bangladesh Agricultural University (BAU) dairy farm, American dairy farm, Gazipur and different  small dairy farms of municipal area during July 2016 to June 2017. Salmonella spp. were isolated on various selective agar media such as: Salmonella-Shigella (SS) agar, Xylose-Lysine Deoxycholate (XLD) agar, Eosine-Methylene Blue (EMB) agar. Identification of Salmonella spp. was done by colony characteristics, Gram staining, biochemical test and Polymerase Chain Reaction (PCR). Multi-drug resistant Salmonella spp. was detected by disc diffusion test using 10 commonly used antibiotics. The overall prevalence of Salmonella spp. in all food samples was 21.89%. A total of 29 (56.86%) chicken meat, 02 (1.85%) milk, and 06 (60%) beef samples were Salmonella spp. positive. Antibiogram study showed that an overall 89.19% of Salmonella spp. was found multi-drug resistant. Specifically 100%, 66.67% and 93.10% of the Salmonella spp. isolates originated from milk, beef and chicken meat respectively were multi-drug resistant. The result of this study suggests that MDR Salmonella spp. is prevalent in the milk and meat which might cause public health hazard if proper hygienic measures are not undertaken at farm and marketing level.