Mathematical Modeling for Evaluating Inherent Parameters Affecting UVC Decontamination of Indicator Bacteria.

UV light is a tool associated with the denaturation of cellular components, DNA damage, and cell disruption. UV treatment is widely used in the decontamination process; however, predicting a sufficient UV dose by using traditional methods is doubtful. In this study, an in-house UVC apparatus was designed to investigate the process of the inactivation of five indicator bacteria when the initial cell concentrations and irradiation intensities varied. Both linear and nonlinear mathematical models were applied to predict the inactivation kinetics. In comparison with the Weibull and modified Chick-Watson models, the Chick-Watson model provided a good fit of the experimental data for five bacteria, Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus, Streptococcus faecalis, and Bacillus subtilis. The specific death rate (kd) significantly increased when the irradiation intensity (I) increased from 1.41 W/m2 to 3.02 W/m2 and 4.83 W/m2 (P < 0.05). Statistical analysis revealed no significant difference in the kd values among the groups of tested Gram-positive bacteria, Gram-negative bacteria, and B. subtilis spores, but the kd values differed among groups (P < 0.05). The death rate coefficient (k) varied from species to species. The k values of the tested Gram-positive bacteria were higher than those of the Gram-negative bacteria. The thick peptidoglycan layer in the Gram-positive membrane was responsible for UVC resistance. The high guanine-cytosine (GC) content in bacteria also contributed to UV resistance due to the less photoreactive sites on the nucleotides. This investigation provides a good understanding of bacterial inactivation induced by UVC treatment. IMPORTANCE Prevention and control measures for microbial pathogens have attracted worldwide attention due to the recent coronavirus disease 2019 pandemic. UV treatments are used as a commercial control to prevent microbial contamination in diverse applications. Microorganisms exhibit different UV sensitivities, which are often measured by the UV doses required for decreasing the number of microbial contaminants in the logarithmic order. The maximum efficacy of UV is usually observed at 254 nm (residing in the UVC range of the light spectrum). UV technology is a nonthermal physical decontamination measure that does not require any chemicals and consumes low levels of energy while leaving insignificant amounts of chemical residues or toxic compounds. Therefore, obtaining the microbial death kinetics and their intrinsic parameters provided in this study together with the UV photoreaction rate enables advancement in the design of UV treatment systems.

The phylodynamics of emerging porcine deltacoronavirus in Southeast Asia.

Porcine deltacoronavirus (PDCoV), a recently emerging pathogen, causes diarrhoea in pigs. A previous phylogenetic analysis based on spike genes suggested that PDCoV was divided into three different groups, including China, the United States, and Southeast Asia (SEA). SEA PDCoV, however, is genetically separated from China and the United States but shares a common ancestor. Its origin and evolution have yet been identified. Herein, phylodynamic analyses based on the full-length genome were performed to investigate the origin and evolution of SEA PDCoV. In the study, 18 full-length genome sequences of SEA PDCoV identified in 2013-2016 together with PDCoV from other regions were used in analyses. The results demonstrated that PDCoV was classified into two genogroups including G1 and G2. G1 is further evolved into G1a (China) and G1b (US). G2 (SEA) group is further evolved into three clades, including SEA-1 (Thailand), SEA-2 (Vietnam) and SEA-2r (Vietnam recombinant) clades. The time to the most recent common ancestor (MRCA) of global PDCoV was estimated to be approximately 1989-1990 and possibly have been circulated in SEA more than a decade. SEA PDCoV is genetically diverse compared to China and U.S. PDCoV. The substitution rate of SEA PDCoV was lower than those of China and the United States, but the recombination rate of SEA was higher. Recombination analyses revealed four potential recombinant events in SEA PDCoV, suggesting that they were derived from the same ancestor of China PDCoV. The SEA-2r subgroup was potentially recombinant between SEA-2 and U.S. strains. In conclusion, the major mechanisms driving the complex evolution and genetic diversity of SEA PDCoV were multiple introductions of exotic PDCoV strains followed by recombination.