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The spollG operon of Bacillus subtilis codes for a sporulation-specific sigma factor, σE. In vivo expression of the spollG promoter is activated shortly after the onset of sporulation and is dependent on kinA, spo0F, spo0B and spo0A genes. The products of these genes have been shown to participate in a phosphorelay reaction in vitro, culminating in phosphorylation of the transcription factor, Spo0A. The effect of Spo0A phosphorylation on in vitro transcription from the spollG promoter was determined. Aliquots from phosphorelay reactions enhanced spollG promoter activity 10-fold in transcription assays and stimulation of transcription was dependent on Spo0A phosphorylation. Our results provide biochemical evidence that Spo0A and the phosphorelay form a signal transduction pathway which activates spoll gene expression in development. [ABSTRACT FROM AUTHOR]

Background: Schools are high-risk settings for infectious disease transmission. Wastewater monitoring for infectious diseases has been used to identify and mitigate outbreaks in many near-source settings during the COVID-19 pandemic, including universities and hospitals but less is known about the technology when applied for school health protection. This study aimed to implement a wastewater surveillance system to detect SARS-CoV-2 and other public health markers from wastewater in schools in England., Methods: A total of 855 wastewater samples were collected from 16 schools (10 primary, 5 secondary and 1 post-16 and further education) over 10 months of school term time. Wastewater was analysed for SARS-CoV-2 genomic copies of N1 and E genes by RT-qPCR. A subset of wastewater samples was sent for genomic sequencing, enabling determination of the presence of SARS-CoV-2 and emergence of variant(s) contributing to COVID-19 infections within schools. In total, >280 microbial pathogens and >1200 AMR genes were screened using RT-qPCR and metagenomics to consider the utility of these additional targets to further inform on health threats within the schools., Results: We report on wastewater-based surveillance for COVID-19 within English primary, secondary and further education schools over a full academic year (October 2020 to July 2021). The highest positivity rate (80.4%) was observed in the week commencing 30th November 2020 during the emergence of the Alpha variant, indicating most schools contained people who were shedding the virus. There was high SARS-CoV-2 amplicon concentration (up to 9.2x106 GC/L) detected over the summer term (8th June - 6th July 2021) during Delta variant prevalence. The summer increase of SARS-CoV-2 in school wastewater was reflected in age-specific clinical COVID-19 cases. Alpha variant and Delta variant were identified in the wastewater by sequencing of samples collected from December to March and June to July, respectively. Lead/lag analysis between SARS-CoV-2 concentrations in school and WWTP data sets show a maximum correlation between the two-time series when school data are lagged by two weeks. Furthermore, wastewater sample enrichment coupled with metagenomic sequencing and rapid informatics enabled the detection of other clinically relevant viral and bacterial pathogens and AMR., Conclusions: Passive wastewater monitoring surveillance in schools can identify cases of COVID-19. Samples can be sequenced to monitor for emerging and current variants of concern at the resolution of school catchments. Wastewater based monitoring for SARS-CoV-2 is a useful tool for SARS-CoV-2 passive surveillance and could be applied for case identification and containment, and mitigation in schools and other congregate settings with high risks of transmission. Wastewater monitoring enables public health authorities to develop targeted prevention and education programmes for hygiene measures within undertested communities across a broad range of use cases., Competing Interests: Department of Health and Social Care - NHS test and trace, Funded cost of sample collection, analysis and reporting. This does not alter our adherence to PLOS ONE policies on sharing data and materials., (Copyright: © 2023 Hassard et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The potential utility of wastewater-based epidemiology as an early warning tool has been explored widely across the globe during the current COVID-19 pandemic. Methods to detect the presence of SARS-CoV-2 RNA in wastewater were developed early in the pandemic, and extensive work has been conducted to evaluate the relationship between viral concentration and COVID-19 case numbers at the catchment areas of sewage treatment works (STWs) over time. However, no attempt has been made to develop a model that predicts wastewater concentration at fine spatio-temporal resolutions covering an entire country, a necessary step towards using wastewater monitoring for the early detection of local outbreaks. We consider weekly averages of flow-normalised viral concentration, reported as the number of SARS-CoV-2N1 gene copies per litre (gc/L) of wastewater available at 303 STWs over the period between 1 June 2021 and 30 March 2022. We specify a spatially continuous statistical model that quantifies the relationship between weekly viral concentration and a collection of covariates covering socio-demographics, land cover and virus associated genomic characteristics at STW catchment areas while accounting for spatial and temporal correlation. We evaluate the model's predictive performance at the catchment level through 10-fold cross-validation. We predict the weekly viral concentration at the population-weighted centroid of the 32,844 lower super output areas (LSOAs) in England, then aggregate these LSOA predictions to the Lower Tier Local Authority level (LTLA), a geography that is more relevant to public health policy-making. We also use the model outputs to quantify the probability of local changes of direction (increases or decreases) in viral concentration over short periods (e.g. two consecutive weeks). The proposed statistical framework can predict SARS-CoV-2 viral concentration in wastewater at high spatio-temporal resolution across England. Additionally, the probabilistic quantification of local changes can be used as an early warning tool for public health surveillance., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier Ltd.)

Accurate surveillance of the COVID-19 pandemic can be weakened by under-reporting of cases, particularly due to asymptomatic or pre-symptomatic infections, resulting in bias. Quantification of SARS-CoV-2 RNA in wastewater can be used to infer infection prevalence, but uncertainty in sensitivity and considerable variability has meant that accurate measurement remains elusive. Here, we use data from 45 sewage sites in England, covering 31% of the population, and estimate SARS-CoV-2 prevalence to within 1.1% of estimates from representative prevalence surveys (with 95% confidence). Using machine learning and phenomenological models, we show that differences between sampled sites, particularly the wastewater flow rate, influence prevalence estimation and require careful interpretation. We find that SARS-CoV-2 signals in wastewater appear 4-5 days earlier in comparison to clinical testing data but are coincident with prevalence surveys suggesting that wastewater surveillance can be a leading indicator for symptomatic viral infections. Surveillance for viruses in wastewater complements and strengthens clinical surveillance, with significant implications for public health., (© 2022. Crown.)

Clinical testing of children in schools is challenging, with economic implications limiting its frequent use as a monitoring tool of the risks assumed by children and staff during the COVID-19 pandemic. Here, a wastewater-based epidemiology approach has been used to monitor 16 schools (10 primary, 5 secondary and 1 post-16 and further education) in England. A total of 296 samples over 9 weeks have been analysed for N1 and E genes using qPCR methods. Of the samples returned, 47.3% were positive for one or both genes with a detection frequency in line with the respective local community. WBE offers a low cost, non-invasive approach for supplementing clinical testing and can provide longitudinal insights that are impractical with traditional clinical testing., Competing Interests: The authors have declared that no competing interests exist.

Rational site-directed mutagenesis and biophysical analyses have been used to explore the thermodynamic stability and catalytic capabilities of organophosphorus hydrolase (OPH) and its genetically modified variants. There are clear trade-offs in the stability of modifications that enhance catalytic activities. For example, the H254R/H257L variant has higher turnover numbers for the chemical warfare agents VX (144 versus 14 s(-1) for the native enzyme (wild type) and VR (Russian VX, 465 versus 12 s(-1) for wild type). These increases are accompanied by a loss in stability in which the total Gibb's free energy for unfolding is 19.6 kcal/mol, which is 5.7 kcal/mol less than that of the wild-type enzyme. X-ray crystallographic studies support biophysical data that suggest amino acid residues near the active site contribute to the chemical and thermal stability through hydrophobic and cation-pi interactions. The cation-pi interactions appear to contribute an additional 7 kcal/mol to the overall global stability of the enzyme. Using rational design, it has been possible to make amino acid changes in this region that restored the stability, yet maintained effective V-agent activities, with turnover numbers of 68 and 36 s(-1) for VX and VR, respectively. This study describes the first rationally designed, stability/activity balance for an OPH enzyme with a legitimate V-agent activity, and its crystal structure.

Organophosphorus hydrolase (OPH) is a bacterial enzyme that hydrolyzes a broad variety of OP neurotoxins, including chemical warfare agents and many widely used pesticides. OPH has extremely high hydrolytic efficiency with different phosphotriester and phophothiolester pesticides (k(cat) = 50-15,000 s(-1)) as well as phosphorofluorates such as DFP and the chemical warfare agents sarin and soman (k(cat) = 50-11,000 s(-1)). In contrast, the enzyme has much lower catalytic capabilities for phosphonothioate neurotoxins such as acephate or the chemical warfare agent VX [O-ethyl S-(2-diisopropyl aminoethyl) methylphosphonothioate] (k(cat) = 0.3-20 s(-1)). Different metal-associated forms of the enzyme have demonstrated varying hydrolytic capabilities for each of the OP neurotoxins, and the activity of OPH (Co2+) is consistently higher than that of OPH (Zn2+) by five- to 20-fold. Protein engineering strategies have exploited these metal-induced catalytic differences, and other slight modifications to the opd gene have resulted in significant enhancement of the rates of detoxification of the thioate pesticides and chemical warfare agents. In order to develop practical applications of OPH, other experiments have focused on improvement of enzyme production, localization, stability, and shelf-life, as well as efficient catalysis of substrates of interest.

The Spo0A transcription factor is responsible for the initiation of sporulation and is active in transcription only after phosphorylation by a specific signal transduction pathway, the phosphorelay. The effect of phosphorylation on the physical properties of Spo0A was determined. Spo0A and Spo0A approximately P both behaved as monomers during Sephacryl chromatography and gel electrophoresis, suggesting that phosphorylation did not modify the oligomerization state of the protein. Trypsin digested Spo0A at a single cleavage site between residues 142 and 143 within a hinge connecting two tightly folded domains. The amino domain retains ability to be phosphorylated by the phosphorelay. The carboxyl domain is active as a DNA-binding protein and retains the sequence specificity of the intact molecule for 0A boxes on the abrB promoter as revealed by footprinting studies. The carboxyl domain stimulated in vitro transcription from the spoIIG promoter 5-fold greater than an equal amount of Spo0A and about half as well as equivalent amounts of Spo0A approximately P. Thus, the unphosphorylated amino domain inhibits the transcription stimulation activity of the carboxyl domain. We suggest that phosphorylation activates transcription regulation functions of Spo0A by modifying the spatial relationships of the amino and carboxyl domains.