Improved detection and quantitation of norovirus from water

Establishment and application of a rapid assay for GII.4/GII.17 NoV detection based on the combination of CRISPR/Cas13a and isothermal amplification

Introduction

Norovirus (NoV) is one of the most important agents responsible for viral acute gastroenteritis, among which GII.4 NoV is the predominant strain worldwide, and GII.17 NoV surpassed GII.4 in some epidemic seasons. Rapid and accurate gene recognition is essential for a timely response to NoV outbreaks.

Methods

In the present study, the highly conserved regions of GII.4 and GII.17 NoVs were identified in the junction of open reading frame (ORF) 1 and ORF2 and then amplified by isothermal recombinase-aided amplification (RAA), followed by the cleavage of CRISPR-Cas13a with screened CRISPR RNAs (crRNAs) and RAA primers. The entire detection procedure could be completed within 40 min using a thermostat, and the results could be read out by the naked eye under a portable blue light transilluminator.

Discussion

The assay showed a high sensitivity of 97.96% and a high specificity of 100.0%. It offered a low limit of detection (LOD) of 2.5×100 copies/reaction and a coincidence rate of 96.75% in 71 clinical fecal samples. Overall, rapid and inexpensive detection of GII.4/GII.17 NoVs was established, which makes it possible to be used in areas with limited resources, particularly in low-income countries. Furthermore, it will contribute to assessing transmission risks and implementing control measures for GII.4/GII.17 NoVs, making healthcare more accessible worldwide.

Human Norovirus Detection: How Much Are We Prepared?

Norovirus (NoV) is known to be the second nonbacterial enteric pathogen after rotavirus that causes acute gastroenteritis. They can be spread from person to person through fecal-oral routes. Infection can lead to severe diarrhea, causing stomach pain, vomiting, and nausea. Rapid detection of NoV can control huge economic and productive losses. Genotyping various emerging NoV strains is important to compare the severity among different strains. Conventional immunological and molecular methods have evolved and contributed to developing detection techniques. Immunological (enzyme-linked immunosorbent assay) and molecular detection (reverse transcriptase polymerase chain reaction [RT-PCR], RT-quantitative PCR, loop-mediated isothermal amplification, nucleic acid sequence-based alignment, recombinase polymerase amplification) methods have been mainly used. The development of biosensors using aptasensor, affinity peptides, nanoparticles, microfluidics, and so on, are currently the most researched topics. The availability of next-generation sequencing technologies has greatly influenced the diagnosis of NoV. The complementation of advanced technologies is helpful in identification of new variants. In this study, techniques that are useful in detecting NoV are discussed. This review has investigated the availability of recent methods used in the detection, present status, and futuristic plan of action in case of outbreak and pandemic.

Human rotavirus VP4 and VP7 genetic diversity and detection of GII norovirus in Ibadan as Nigeria introduces rotavirus vaccine

Objective

This cross-sectional study investigated the circulating strains of rotavirus and screened for noravirus in Ibadan, Nigeria as the country introduces the rotavirus vaccine into its national immunization program.

Methods

Sixty-five stool samples were collected from children younger than 5 years with clinically diagnosed diarrhea and screened for the presence of rotavirus and norovirus using RT-PCR. Rotavirus-positive samples were further analyzed to determine the G and P genotypes using semi-nested multiplex PCR.

Results

The rates of rotavirus and norovirus positivity were 30.8% and 10.8%, respectively, whereas the rate of rotavirus and norovirus mixed infection was 4.6%. G1 was the predominant VP7 genotype, followed by G2, G9, and G1G2G9, whereas the predominant VP4 genotype was P[4], followed by P[6], P[8], and P[9]. The mixed P types P[4]P[8] and P[4]P[6] were also detected. G1P[4] was the most common VP4 and VP7 combination, followed by G2P[4], G1[P6], G1P[8], G2P[6], G2P[9], G9P[6], G2G9P[4], G2P[4]P[6], G1P[4]P[8], G2G9P[8], G1G2G9P[8], and G1[non-typable] P[non-typable], which were detected in at least 5% of the samples. Four samples had a combination of non-typable G and P types.

Conclusions

It is essential to monitor the circulation of virus strains prior to and during the implementation of the immunization program.

A novel method for concentration of porcine reproductive and respiratory syndrome virus from the environmental samples using self-aggregating peptide-tagged CD151-binding capture

Environmental surveillance of porcine reproductive and respiratory syndrome virus (PRRSV) represents a key issue in control of the disease. CD151 has recently been recognized as one of several receptors for PRRSV. We describe here a novel method for concentration of PRRSV from the environmental samples by CD151-binding capture. After fusion to self-aggregating peptide ELK16, the large extracellular loop (LEL) of porcine CD151 and its two segments (namely N63 and C63) were expressed in E. coli as protein aggregates. The three fusion proteins were purified to high purities by regular centrifugation and washing with Triton X-100. Viral binding assay showed that the C63-ELK16 protein, but not ELK16-N63 protein, had the specific binding affinity for PRRSV. The C63-ELK16 protein could bind to, and eluted from, PRRSV in pH-, temperature-, and time-dependent manners with a final virus recovery of 44.7%. By using PRRSV-spiked and experimentally infected pig fecal slurry samples, the C63-ELK16 binding capture-combined quantitative RT-PCR was shown to have higher detection sensitivity than the conventional RT-PCR. Although the viral RNA could be detected in the experimentally infected pig samples with or without C63-ELK16 binding capture, infectious PRRSV was not isolated without C63-ELK16 binding capture. Therefore, the CD151-binding capture method established offers sufficient recovery and quickness and will facilitate environmental PRRSV surveillance.

On the track for an efficient detection of Escherichia coli in water: A review on PCR-based methods

Ensuring water safety is an ongoing challenge to public health providers. Assessing the presence of fecal contamination indicators in water is essential to protect public health from diseases caused by waterborne pathogens. For this purpose, the bacteria Escherichia coli has been used as the most reliable indicator of fecal contamination in water. The methods currently in use for monitoring the microbiological safety of water are based on culturing the microorganisms. However, these methods are not the desirable solution to prevent outbreaks as they provide the results with a considerable delay, lacking on specificity and sensitivity. Moreover, viable but non-culturable microorganisms, which may be present as a result of environmental stress or water treatment processes, are not detected by culture-based methods and, thus, may result in false-negative assessments of E. coli in water samples. These limitations may place public health at significant risk, leading to substantial monetary losses in health care and, additionally, in costs related with a reduced productivity in the area affected by the outbreak, and in costs supported by the water quality control departments involved. Molecular methods, particularly polymerase chain reaction-based methods, have been studied as an alternative technology to overcome the current limitations, as they offer the possibility to reduce the assay time, to improve the detection sensitivity and specificity, and to identify multiple targets and pathogens, including new or emerging strains. The variety of techniques and applications available for PCR-based methods has increased considerably and the costs involved have been substantially reduced, which together have contributed to the potential standardization of these techniques. However, they still require further refinement in order to be standardized and applied to the variety of environmental waters and their specific characteristics. The PCR-based methods under development for monitoring the presence of E. coli in water are here discussed. Special emphasis is given to methodologies that avoid pre-enrichment during the water sample preparation process so that the assay time is reduced and the required legislated sensitivity is achieved. The advantages and limitations of these methods are also reviewed, contributing to a more comprehensive overview toward a more conscious research in identifying E. coli in water.

Similar concentration and extraction recoveries allow for use of turnip crinkle virus as a process control for enteroviruses in water

Enteric viruses are etiological agents of waterborne disease that may be detected using molecular techniques such as PCR. However, processing water samples in preparation for PCR typically involves concentration of samples and extraction of nucleic acids, steps that have low and variable recovery efficiencies. This study evaluated a plant virus, turnip crinkle virus (TCV), for its ability to serve as a process control for human enteroviruses during concentration and extraction procedures. Enteroviruses and TCV have similar sizes and morphologies, and both contain single stranded, positive-sense RNA genomes. Results from the study demonstrate that the tested viruses experience similar losses during sample processing. Virus recoveries averaged 0.03% for EV and 0.02% for TCV from DI water, and 0.004% for EV and 0.009% for TCV from a creek sample. Surface water and wastewater samples from around the U.S. were evaluated for the presence of TCV to ensure the virus is not present in environmental samples. All were negative. With similar recovery efficiencies to EV, TCV may be a suitable process control for enteroviruses in environmental water samples in the U.S. Use of process controls as proposed in this study would allow better detection and quantitation methods to be employed in water quality monitoring.

Application of a competitive internal amplification control for the detection of sapoviruses in wastewater

In this study, a competitive internal amplification control (IAC) was constructed for application in the real-time reverse transcription-polymerase chain reaction detection of sapoviruses (SaVs). A SaV RNA standard was also created for quantification of the virus. The IAC was included in the screening of environmental samples for SaVs. From August 2010 to December 2011, 51 wastewater samples were collected from five provinces in South Africa. SaVs were found in 72.5 % (37/51) of samples, including four samples where detection was initially inhibited. SaV concentrations ranged from 4.24 × 10(3) to 1.31 × 10(6) copies/ml. The IAC successfully identified samples which contained inhibitors and inclusion of an IAC is necessary to ensure the prevalence of SaVs is accurately determined. SaVs are present at high concentrations in wastewater in several provinces of South Africa. This widespread occurrence indicates that SaV circulation in the South African population may be underestimated.

Application of a receptor-binding capture quantitative reverse transcription-PCR assay to concentrate human norovirus from sewage and to study the distribution and stability of the virus

Water is an important route for human norovirus (HuNoV) transmission. Using magnetic beads conjugated with blood group-like antigens (HuNoV receptors), we developed a simple and rapid receptor-binding capture and magnetic sequestration (RBCMS) method and compared it to the existing negatively charged membrane absorption/elution (NCMAE) method for concentrating HuNoV from sewage effluent. RBCMS required 6-fold-less sample volume than the NCMAE method and also resulted in a significantly higher yield of HuNoV. The NCMAE and RBCMS concentrations of genogroup I (GI) HuNoV measured by quantitative reverse transcription-PCR (qRT-PCR) resulted in average threshold cycle (C(T)) values of 34.68 (8.68 copies, 252-fold concentration) versus 34.07 (13.05 copies, 477-fold concentration), respectively; the NCMAE and RBCMS concentrations of genogroup II (GII) HuNoV were measured as average C(T) values of 33.32 (24.7 copies, 239-fold concentration) versus 32.38 (46.9 copies, 333-fold concentration), respectively. The specificity of qRT-PCR was confirmed by traditional RT-PCR and an RNase I protection assay. The qRT-PCR signal from RBCMS-concentrated HuNoV treated with RNase I indicated that it was from encapsidated RNA and, probably, viable virus. In contrast, the qRT-PCR signal from NCMAE-concentrated HuNoV was not protected from RNase I and, likely, degradation. Both GI and GII HuNoV were detected from sewage effluent samples collected between April and July with average concentrations of 7.8 × 10(3) genomic copies per liter (gc/liter) and 4.3 × 10(4) gc/liter, respectively. No GI and <2% GII HuNoV were detected in sewage samples stored at room temperature for 4 weeks. We conclude that RBCMS requires less sample volume, has better recovery and sensitivity, and is faster than NCMAE for detection of HuNoV in sewage.

Waterborne Pathogens

A variety of microorganisms occur in the marine environment which are capable of infecting humans. This chapter, focused on waterborne pathogens, summarizes the types of pathogens that are a threat to human health, as well as the fecal indicator bacteria that are commonly used as surrogates for pathogens in regulatory and research applications. Limitations and alternatives to traditional fecal indicator bacteria are explored, highlighting challenges and policy implications for protecting public health. Methodological advances and challenges are also reviewed, with an emphasis on research designed to fill gaps and provide scientific support for management of marine resources, particularly bathing beaches. Accordingly, recent and previous epidemiology studies linking microbial measures of water quality to health outcomes are discussed in detail. As an alternative to the measurement of individual water samples, modeling of pathogens in marine waters is introduced. Overall, this chapter provides an overview of the pathogens, microbial measures and policy implications important for protecting humans from exposure to pathogens in marine waters.