Evaluation of low-cost viral concentration methods in wastewaters: Implications for SARS-CoV-2 pandemic surveillances.

In the pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) many strategies have been performed in order to control viral spread in the population and known the real-time situation about the number of infected persons. In this sense, Wastewater Based Epidemiology (WBE) has been applied as an excellent tool to evaluate the virus circulation in a population. In order to obtain reliable results, three low-cost viral concentration methods were evaluated in this study, polyethylene glycol (PEG) precipitation, skimmed milk flocculation (SM) and Aluminum polychloride flocculation, for Pseudomonas aeruginosa bacteriophage PP7 as a surrogate for non-enveloped viruses and Bovine Coronavirus (BCoV) as a surrogate for enveloped virus, with emphasis for SARS- CoV-2. Our results suggest that PEG precipitation for viral concentration, for both enveloped and non-enveloped virus from wastewater is an appropriate approach since it was more sensitive compared to SM flocculation and Aluminum polychloride flocculation. This methodology can be used for WBE studies in order to follow the epidemiology of the SARS-CoV-2 pandemic, mainly in developing countries where the economic resources are frequently limited.

Detection, Quantification, and Microbial Risk Assessment of Group A Rotavirus in Rivers from Uruguay.

The aim of this study was to detect, quantify, and assess the risk of infection and illness for Group A Rotavirus (RVA) in the watersheds of the Santa Lucia and Uruguay rivers in Uruguay. Monthly sampling was carried out for one year in six sites in the watershed of the Santa Lucía River and four in the Uruguay River. All the collection sites are used for recreational activities. Viral concentration was performed with the adsorption-elution method, and detection and quantification of RVA was carried out by TaqMan quantitative PCR (qPCR). Quantitative microbial risk assessment was applied to estimate the daily and annual risk of RVA infection, as well as the daily risk of illness considering direct exposure through recreational activity. RVA was detected in 42% (20/48) of the analyzed samples in the Uruguay River and 40% (29/72) in the Santa Lucía River. The virus was present in all the analyzed points in both watersheds. A pattern of seasonality, characterized by a higher detection frequency of the virus during coldest month of the year, was observed in both basins. The mean concentration for RVA was 1.3 × 105 genomic copies/L. The microbiological risk assessment shows that Santa Lucía watershed presented the highest daily risk of infection (6.41E-01) and illness (3.20E-01) estimated for the point downstream of Florida City; meanwhile for Uruguay River, the highest probabilities of infection (6.82E-01) and illness (3.41E-01) were estimated for the collection site for drinking water intake in Salto city. These results suggest that RVA contamination of these important rivers negatively impact on their microbiological quality since they are used for recreation and drinking water intake, demonstrating that the disposal of waste from cities located in their riverside confers a constant threat of infection for the general population, especially for children.

Application of a simple and affordable protocol for isolating plant total nucleic acids for RNA and DNA virus detection.

Standard molecular methods for plant virus diagnosis require the purification of RNA or DNA extracts from a large number of samples, with sufficient concentration and quality for their use in PCR, RT-PCR, or qPCR analysis. Most methods are laborious and use either hazardous and/or costly chemicals. A previously published protocol for RNA isolation from several plant species yields high amounts of good quality RNA-DNA mixture in a simple, safe and inexpensive manner. In the present work, this method was tested to obtain RNA-DNA extracts from leaves of tomato, potato and three species of citrus, and was compared with two commercial kits. The results demonstrated that this protocol offers at least comparable nucleic acid quality, quantity and purity to those provided by commercial phenol-based or spin column systems and that are suitable to be used in PCR, RT-PCR and qPCR for virus and viroid detection. Because of its easy implementation and the use of safe and inexpensive reagents, it can be easily implemented to work in plant virus and viroid detection in different plant species.

Bayesian coalescent inference reveals high evolutionary rates and expansion of Norovirus populations.

Noroviruses (NoV) are a leading cause of outbreaks of nonbacterial acute gastroenteritis in humans worldwide and have become an important cause of hospitalization of children in South America. NoV belong to the family Caliciviridae and are non-enveloped single stranded, positive sense, RNA viruses. NoV of genotype GII/4 have emerged worldwide, causing four epidemic seasons of viral gastroenteritis during which four novel variants emerged. Despite the importance of NoV outbreaks, little is known about the evolutionary rates, viral spread and population dynamics of NoV populations. In order to gain insight into these matters, a Bayesian Markov chain Monte Carlo (MCMC) approach was used to analyze region D or full-length VP1 gene sequences of GII/4 NoV populations isolated in Brazil or Japan, respectively. The results of these studies revealed that the expansion population growth model was the best to fit the data in both datasets. The dates of the most common recent ancestors revealed that these viruses can quickly emerge in a geographical location. A mean evolutionary rate of 1.21 x 10(-2) nucleotide substitution/site/year (s/s/y) was obtained for the VP1 gene using full-length sequences. This rate is higher than the rates reported for other rapidly evolving RNA. Roughly similar rates (1.44 x 10(-2)s/s/y) were found using region D sequences, revealing the suitability of this region for evolutionary studies, in agreement with previous reports. High evolutionary rates and fast population growth may have contributed to the vigorous initial transmission dynamics of the GII/4 NoV populations studied.