Sensitive and multiplexed RNA detection with Cas13 droplets and kinetic barcoding

Rapid and sensitive quantification of RNA is critical for detecting infectious diseases and identifying disease biomarkers. Recent direct detection assays based on CRISPR-Cas13a avoid reverse transcription and DNA amplification required of gold-standard PCR assays, but these assays have not yet achieved the sensitivity of PCR and are not easily multiplexed to detect multiple viruses or variants. Here we show that Cas13a acting on single target RNAs loaded into droplets exhibits stochastic nuclease activity that can be used to enable sensitive, rapid, and multiplexed virus quantification. Using SARS-CoV-2 RNA as the target and combinations of CRISPR RNA (crRNA) that recognize different parts of the viral genome, we demonstrate that reactions confined to small volumes can rapidly achieve PCR-level sensitivity. By tracking nuclease activity within individual droplets over time, we find that Cas13a exhibits rich kinetic behavior that depends on both the target RNA and crRNA. We demonstrate that these kinetic signatures can be harnessed to differentiate between different human coronavirus species as well as SARS-CoV-2 variants within a single droplet. The combination of high sensitivity, short reaction times, and multiplexing makes this droplet-based Cas13a assay with kinetic barcoding a promising strategy for direct RNA identification and quantification.

Distinct responses of Vitis aestivalis ‘Norton’ and Vitis vinifera ‘Kishmish Vatkana’ to seven viruses revealed by small RNA sequencing

Grapevines are frequently infected by multiple viruses. Our previous study showed that ‘Norton’ grapevine (Vitis aestivalis) is resistant to grapevine vein clearing virus, a DNA virus in the family Caulimoviridae. To study the reaction of ‘Norton’ to RNA viruses, we transferred seven RNA viruses to ‘Norton’ from ‘Kishmish Vatkana’ (‘KV’) (Vitis vinifera) via graft-transmission. We profiled viral small RNAs (vsRNAs) of the seven viruses and compared viral titers in ‘Norton’ and ‘KV’. Total vsRNAs of grapevine leafroll-associated virus 1 (GLRaV-1), GLRaV-2, GLRaV-3, grapevine virus A (GVA) and grapevine Pinot gris virus (GPGV) were significantly less abundant in ‘Norton’ than in ‘KV’, but total vsRNAs of grapevine fleck virus (GFkV) were more abundant in ‘Norton’ than in ‘KV’. Total vsRNAs of grapevine rupestris stem pitting-associated virus (GRSPaV) were not different between ‘Norton’ and ‘KV’. Grafting direction of ‘Norton’ to ‘KV’ or ‘KV’ to ‘Norton’ did not affect the quantity of vsRNAs. The genome coverage of GLRaV-1, GLRaV-2, GLRaV-3 and GVA vsRNAs was lower in ‘Norton’ than ‘KV’. The 21-nt and 22-nt classes of vsRNAs were predominant for all seven viruses. Virus quantification by qPCR indicated that GLRaV-1 was undetectable in ‘Norton’, GLRaV-2, GLRaV-3, and GVA were less abundant in ‘Norton’, but GFkV was more abundant in ‘Norton’ than in ‘KV’. These results demonstrated that ‘Norton’ grapevine suppresses GLRaV-1, GLRaV-2, GLRaV-3, and GVA, but supports GFkV in comparison with ‘KV’. This study revealed new facets of complex molecular interactions between grapevines and multiple viruses.

Updating Sacbrood Virus Quantification PCR Method Using a TaqMan-MGB Probe

Sacbrood virus (SBV) is a common honey bee virus disease. SBV variants and strains identified in Asian honey bees, Apis cerana, have created confusion in identifications. Although the regional names indicated the expansions of the virus in new regions, pathogenesis, and genomes of these variants are not distinct enough to be a separate virus species. However, current SBV qPCR methods may not detect newly identified A. cerana SBV variants (Ac SBV) according to the genome sequences. Since these Ac SBV can naturally infect A. mellifera and possibly other hymenopterans, ignorance of Ac SBV variants in detection methods is simply unwise. In this report, we updated the qPCR method based on Blanchard’s design that used conserved regions of VP1 to design a TaqMan method with an MGB (minor groove binder) probe. We tested the method in bees and hornets, including A. mellifera, A. cerana, and Vespa velutina. The updated primers and the probe can match published SBV and Ac SBV genomes in databases, and this updated method has reasonable sensitivity and flexibility to be applied as a detection and quantification method before the discovery of variants with more mutated VP1 gene.

Simple, Low-Cost and Long-Lasting Film for Virus Inactivation Using Avian Coronavirus Model as Challenge

The COVID-19 infection, caused by SARS-CoV-2, is inequitably distributed and more lethal among populations with lower socioeconomic status. Direct contact with contaminated surfaces has been among the virus sources, as it remains infective up to days. Several disinfectants have been shown to inactivate SARS-CoV-2, but they rapidly evaporate, are flammable or toxic and may be scarce or inexistent for vulnerable populations. Therefore, we are proposing simple, easy to prepare, low-cost and efficient antiviral films, made with a widely available dishwashing detergent, which can be spread on hands and inanimate surfaces and is expected to maintain virucidal activity for longer periods than the current sanitizers. Avian coronavirus (ACoV) was used as model of the challenge to test the antivirus efficacy of the proposed films. Polystyrene petri dishes were covered with a thin layer of detergent formula. After drying, the films were exposed to different virus doses for 10 min and virus infectivity was determined using embryonated chicken eggs, and RNA virus quantification in allantoic fluids by RT-qPCR. The films inactivated the ACoV (ranging from 103.7 to 106.7 EID50), which is chemically and morphologically similar to SARS-CoV-2, and may constitute an excellent alternative to minimize the spread of COVID-19.

Simple, Low-cost and Semi-permanent Film for Virus Inactivation Using Avian Coronavirus Model as Challenge

COVID-19 infection, caused by SARS-CoV-2, is inequitably distributed and more lethal among populations with lower socioeconomic status. Direct contact with contaminated surfaces has been one of the virus sources, as it remains infective up to days. Several disinfectants have been shown to inactivate SARS-CoV-2 but they rapidly evaporate, are flammable or toxic and may be scarce or inexistent for the vulnerable populations. Therefore, we are proposing a simple, easy to prepare, low-cost and efficient antiviral films, made with wide available dishwasher detergent, which can be spread in hands and inanimate surfaces and maintains virucidal activity for longer periods than the current sanitizers. Avian coronavirus (ACoV) was used as model of challenge to test the antivirus efficacy of proposed films. Polystyrene microplates were covered with a thin layer of detergent formula. After drying, the films were exposed to different virus doses for 10 minutes and virus infectivity were determined using embryonated chicken eggs and RNA virus quantification in allantoic fluids by RT-qPCR. The films showed to inactive the ACoV (ranging from 103.66 to 106.66 EID50), which is chemically and morphologically similar to SARSCoV-2 and may constitute an excellent alternative to minimize the spread of Covid-19.

The Effects of Statistical Multiplicity of Infection on Virus Quantification and Infectivity Assays

Many biological assays are employed in virology to quantify parameters of interest. Two such classes of assays, virus quantification assays (VQA) and infectivity assays (IA), aim to estimate the number of viruses present in a solution, and the ability of a viral strain to successfully infect a host cell, respectively. VQAs operate at extremely dilute concentrations and results can be subject to stochastic variability in virus-cell interactions. At the other extreme, high viral particle concentrations are used in IAs, resulting in large numbers of viruses infecting each cell, enough for measurable change in total transcription activity. Furthermore, host cells can be infected at any concentration regime by multiple particles, resulting in a statistical multiplicity of infection (SMOI) and yielding potentially significant variability in the assay signal and parameter estimates. We develop probabilistic models for SMOI at low and high viral particle concentration limits and apply them to the plaque (VQA), endpoint dilution (VQA), and luciferase reporter (IA) assays. A web-based tool implementing our models and analysis is also developed and presented. We test our proposed new methods for inferring experimental parameters from data using numerical simulations and show improvement on existing procedures in all limits.