Liani Coronado

A duplex SYBR Green I-based real-time RT-PCR assay for the simultaneous detection and differentiation of Massachusetts and non-Massachusetts serotypes of infectious bronchitis virus

Infectious bronchitis is a highly contagious viral disease of poultry caused by infectious bronchitis virus (IBV) and is considered one of the most economically important viral diseases of chickens. Control of IBV has been attempted using live attenuated and inactivated vaccines. Live attenuated vaccines of the Massachusetts (Mass.) serotype are the most commonly used for this purpose. Due to the continuous emergence of new variants of the infectious bronchitis virus, the identification of the type of IBV causing an outbreak in commercial poultry is important in the selection of the appropriate vaccine(s) capable of inducing a protective immune response. The present work was aimed at developing and evaluating a duplex SYBR Green I-based real-time RT-PCR (rRT-PCR) assay for the simultaneous detection and differentiation of Mass. and non-Mass. serotypes of IBV. The duplex rRT-PCR yielded curves of amplification with two specific melting curves (Tm1 = 83 °C ± 0.5 °C and Tm2 = 87 °C ± 0.5 °C) and only one specific melting peak (Tm = 87 °C ± 0.5 °C) when the IBV Mass. serotype and IBV non-Mass. serotype strains were evaluated, respectively. The detection limit of the assay was 8.2 gene copies/μL based on in vitro transcribed RNA and 0.1 EID50/mL. The assay was able to detect all the IBV strains assessed and discriminated well among the IBV Mass. and the IBV non-Mass. serotypes strains. In addition, amplification curves were not obtained with any of the other viruses tested. From the 300 field samples tested, the duplex rRT-PCR yielded a total of 80 samples that were positive for IBV (26.67%), 73 samples identified as the IBV Mass. serotype and seven samples as identified as the IBV non-Mass. serotype. A comparison of the performance of test as assessed with field samples revealed that the duplex rRT-PCR detected a higher number of IBV-positive samples than when conventional RT-PCR or virus isolation tests were used. The duplex rRT-PCR presented here is a useful tool for the rapid identification of outbreaks and for surveillance programmes during IB-suspected cases, particularly in countries with a vaccination control programme.

Deciphering the emergence, genetic diversity and evolution of classical swine fever virus

Classical swine fever (CSF) is one of the most important infectious diseases causing significant economic losses. Its causal agent, CSF virus (CSFV), is a member of the Pestivirus genus included into the Flaviviridae family. Previous molecular epidemiology studies have revealed the CSFV diversity is divided into three main genotypes and different subgenotypes. However, the classification system for CSFV has not yet been harmonized internationally. Similarly, the phylogeny and evolutionary dynamics of CSFV remain unclear. The current study provides novel and significant insights into the origin, diversification and evolutionary process of CSFV. In addition, the best phylogenetic marker for CSFV capable of reproducing the same phylogenetic and evolutionary information as the complete viral genome is characterized. Also, a reliable cut-off to accurately classify CSFV at genotype and subgenotype levels is established. Based on the time for the most recent common ancestor (tMRCA) reconstruction and cophylogenetic analysis, it was determined that CSFV emerged around 225 years ago when the Tunisian Sheep Virus jumped from its natural host to swine. CSFV emergence was followed by a genetic expansion in three main lineages, driven by the action of positive selection pressure and functional divergence, as main natural forces.

Molecular epidemiology study of swine influenza virus revealing a reassorted virus H1N1 in swine farms in Cuba

In this report, we describe the emergence of reassorted H1N1 swine influenza virus, originated from a reassortment event between the H1N1 pandemic influenza virus (H1N1p/2009) and endemic swine influenza virus in Cuban swine population. In November 2010, a clinical respiratory outbreak was reported on a pig fattening farm in Cuba. Phylogenetic analysis showed that all the genes of one of the isolate obtained, with the exception of neuraminidase, belonged to the H1N1p/2009 cluster. This finding suggests that H1N1pdm has been established in swine and has become a reservoir of reassortment that may produce new viruses with both animal and public health risks.

Impact of RNA Degradation on Viral Diagnosis: An Understated but Essential Step for the Successful Establishment of a Diagnosis Network

The current global conditions, which include intensive globalization, climate changes, and viral evolution among other factors, have led to an increased emergence of viruses and new viral diseases; RNA viruses are key drivers of this evolution. Laboratory networks that are linked to central reference laboratories are required to conduct both active and passive environmental surveillance of this complicated global viral environment. These tasks require a continuous exchange of strains or field samples between different diagnostic laboratories. The shipment of these samples on dry ice represents both a biological hazard and a general health risk. Moreover, the requirement to ship on dry ice could be hampered by high costs, particularly in underdeveloped countries or regions located far from each other. To solve these issues, the shipment of RNA isolated from viral suspensions or directly from field samples could be a useful way to share viral genetic material. However, extracted RNA stored in aqueous solutions, even at −70 °C, is highly prone to degradation. The current study evaluated different RNA storage conditions for safety and feasibility for future use in molecular diagnostics. The in vitro RNA-transcripts obtained from an inactivated highly pathogenic avian influenza (HPAI) H5N1 virus was used as a model. The role of secondary structures in the protection of the RNA was also explored. Of the conditions evaluated, the dry pellet matrix was best able to protect viral RNA under extreme storage conditions. This method is safe, cost-effective and assures the integrity of RNA samples for reliable molecular diagnosis. This study aligns with the globally significant “Global One Health” paradigm, especially with respect to the diagnosis of emerging diseases that require confirmation by reference laboratories.

Multi-Target Strategy for Pan/Foot-and-Mouth Disease Virus (FMDV) Detection: A Combination of Sequences Analysis, in Silico Predictions and Laboratory Diagnostic Evaluation

Foot-and-mouth disease (FMD) is a highly contagious viral disease affecting cloven-hoofed animals that causes severe economic losses. The disease is characterized by a vesicular condition and it cannot be differentiated from other vesicular diseases. Therefore, laboratory confirmation of any suspected FMD case is compulsory. Despite viral isolation in cell cultures has been considered for many years as the gold standard for FMD diagnosis, the advantages of real-time reverse transcription polymerase chain reaction (rRT-PCR) technology have motivated its use directly in clinical specimens for FMD diagnosis. The current work was aimed to develop and validate a molecular multi-check strategy using rRT-PCR (mMulti-rRT-PCR) based on SYBR-Green I for pan/foot-and-mouth disease virus (pan/FMDV) diagnosis. From in silico approaches, different primer pairs previously reported were selected and modified to reduce the likelihood of viral escape as well as potential failures in the pan/FMDV detection. The analytical parameters were evaluated using a high number of representative viral strains. The repeatability of the assay and its performance on field samples were also assessed. The mMulti-rRT-PCR was able to detect emergent FMDV strains that circulated in South America between the years 2006–2010 and on which the single rRT-PCRs failed when they were applied independently. The results obtained here showed that the proposed system is an accurate and rapid diagnosis method for sensitive and specific detection of FMDV. Thus, a validated mMulti-rRT-PCR assay based on SYBR-Green I detection coupled to melting curves resolution for pan/FMDV diagnosis on clinical samples is proposed. This study also highlights the need to incorporate the multi-target detection principle in the diagnosis of highly variable agents, specially, of those listed by OIE like FMDV.