Effective and sensitive monitoring of human pathogenic bacteria in municipal wastewater treatment is important not only for managing public health risk related to treated wastewater reuse, but also for ensuring proper functioning of the treatment plant. In this study, three different 16S rRNA gene molecular analysis methodologies were employed to screen bacterial pathogens in samples collected at three different stages of an activated sludge plant. Overall bacterial diversity was analyzed using next generation sequencing (NGS) on the Illumina MiSeq platform, as well as PCR-DGGE followed by band sequencing. In addition, a microdiversity analysis was conducted using PCR-DGGE, targeting Escherichia coli. Bioinformatics analysis was performed using QIIME protocol by clustering sequences against the Human Pathogenic Bacteria Database. NGS data were also clustered against the Greengenes database for a genera-level diversity analysis. NGS proved to be the most effective approach screening the sequences of 21 potential human bacterial pathogens, while the E. coli microdiversity analysis yielded one (O157:H7 str. EDL933) out of the two E. coli strains picked up by NGS. Overall diversity using PCR-DGGE did not yield any pathogenic sequence matches even though a number of sequences matched the NGS results. Overall, sequences of Gram-negative pathogens decreased in relative abundance along the treatment train while those of Gram-positive pathogens increased.

With accumulating evidence of pulmonary infection via aerosolized nontuberculous mycobacteria (NTM), it is important to characterize their persistence in wastewater treatment, especially in arid regions where treated municipal wastewater is extensively reused. To achieve this goal, microbial diversity of the genus Mycobacterium was screened for clinically and environmentally relevant species using pyrosequencing. Analysis of the postdisinfected treated wastewater showed the presence of clinically relevant slow growers like M. kansasii, M. szulgai, M. gordonae, and M. asiaticum; however, in these samples, rapid growers like M. mageritense occurred at much higher relative abundance. M. asiaticum and M. mageritense have been isolated in pulmonary samples from NTM-infected patients in the region. Diversity analysis along the treatment train found environmentally relevant organisms like M. poriferae and M. insubricum to increase in relative abundance across the chlorine disinfection step. A comparison to qPCR results across the chlorine disinfection step saw no significant change in slow grower counts at CT disinfection values ≤90 mg·min/L; only an increase to 180 mg·min/L in late May brought slow growers to below detection levels. The study confirms the occurrence of clinically and environmentally relevant mycobacteria in treated municipal wastewater, suggesting the need for vigilant monitoring of treated wastewater quality and disinfection effectiveness prior to reuse.

The sustainable recovery of resources from wastewater streams can provide many social and environmental benefits. A common strategy to recover valuable resources from wastewater is to harness the products of fermentation by complex microbial communities. In these fermentation bioreactors high microbial community diversity within the inoculum source is commonly assumed as sufficient for the selection of a functional microbial community. However, variability of the product profile obtained from these bioreactors is a persistent challenge in this field. In an attempt to address this variability, the impact of inoculum on the microbial community structure and function within the bioreactor was evaluated using controlled laboratory experiments. In the course of this work, sequential batch reactors were inoculated with three complex microbial inocula and the chemical and microbial compositions were monitored by HPLC and 16S rRNA amplicon analysis, respectively. Microbial community dynamics and chemical profiles were found to be distinct to initial inoculate and highly reproducible. Additionally we found that the generation of a complex volatile fatty acid profile was not specific to the diversity of the initial microbial inoculum. Our results suggest that the composition of the original inoculum predictably contributes to bioreactor community structure and function.

Developing reliable quantitative microbial risk assessment (QMRA) procedures aids in setting recommendations on reuse applications of treated wastewater. In this study, a probabilistic QMRA to determine the risk of Salmonella infections resulting from the consumption of edible crops irrigated with treated wastewater was conducted. Quantitative polymerase chain reaction (qPCR) was used to enumerate Salmonella spp. in post-disinfected samples, where they showed concentrations ranging from 90 to 1,600 cells/100 mL. The results were used to construct probabilistic exposure models for the raw consumption of three vegetables (lettuce, cabbage, and cucumber) irrigated with treated wastewater, and to estimate the disease burden using Monte Carlo analysis. The results showed elevated median disease burden, when compared with acceptable disease burden set by the World Health Organization, which is 10⁻⁶ disability-adjusted life years per person per year. Of the three vegetables considered, lettuce showed the highest risk of infection in all scenarios considered, while cucumber showed the lowest risk. The results of the Salmonella concentration obtained with qPCR were compared with the results of Escherichia coli concentration for samples taken on the same sampling dates.

Halotolerant and halophilic microorganisms have potential applications in a number of very relevant environmental and industrial bioprocesses, from wastewater treatment to production of value-added chemicals. While numerous microbial strains have been identified and studied in the literature, the number of those successfully used in industrial applications is comparatively small. Literature is abundant in terms of characterisation of specific strains under a microbiology perspective; however, there is a need for studies tackling the selection of strains for bioprocess applications. This review presents a database of over 200 halophilic and halotolerant prokaryote strains compiled from taxonomic microbiological resources and classified by trophic groups as well as by their salinity, pH and temperature tolerance and optimum ranges, all under a process development perspective. In addition to this database, complementary systematic approaches for the selection of suitable strains for a given trophic activity and environmental conditions are also presented. Both the database and the proposed selection approaches together constitute a general tool for process development that allows researchers to systematically search for strains capable of specific substrate degradations under specific conditions (pH, T, salinity). Many exiting established halotolerant and halophilic environmental and industrial bioprocesses appear to have been developed following strategies in line with the systematic approaches proposed here.