Evidence of shared bovine viral diarrhea infections between red deer and extensively raised cattle in south-central Spain.

BACKGROUND: Bovine viral diarrhea virus (BVDV) is a pestivirus that affects cattle production worldwide and that can infect other ungulates such as cervids and even wild boar (Sus scrofa). It is believed that domestic livestock can become infected through contact with wild animals, though it is known that infection can spread among wild animals in the absence of contact with livestock. Little is known about the sharing of BVDV infection between wild and domestic animals in the same habitat, which is important for designing eradication campaigns and preventing outbreaks, especially on hunting estates with high animal densities. RESULTS: We assessed the sharing of BVDV infections among hunted red deer, wild boar and cattle in south-central Spain. Sampled red deer (Cervus elaphus; n = 267) and wild boar (n = 52) were located on 19 hunting estates, and cattle (n = 180) were located on 18 nearby farms. We used ELISA kits for the serological screening, Taqman RT-PCR assay for the virus determination, and subsequent phylogenetic analysis for 17 RT-PCR positive sample amplicons. Fifty-two red deer (19.5%) and 82 cattle (45.6%) samples tested positive by ELISA. A high apparent prevalence (22.47%) was obtained for red deer, while only five cattle farms tested positive by RT-PCR. Conversely, no wild boar tested positive by both ELISA or RT-PCR. Eleven red deer (4.1%) tested positive by both ELISA and RT-PCR; these animals may have been sampled during the last phase of viremia, or they may represent previously exposed individuals infected by a different BVDV strain. The amplicons shared 92.7-100% identity and fell within the BVDV subgroup 1b, although nine of these (from four red deer and five cattle pools) formed a separate branch. This suggests that there might be a common BVDV infecting both cattle and red deer. Higher red deer abundance was significantly associated with greater risk that extensively raised cattle would test positive for BVDV by ELISA. CONCLUSIONS: Our findings suggest that BVDV is circulating between cattle and red deer populations in proximity, but further work is required to determine whether they share the same strain(s). These results suggest the potential of BVDV to serve as a surveillance marker in these shared habitats. High seroprevalence of BVDV in red deer from our study area suggests that although BVDV infection is common, animals usually survive the infection. Further research is needed to verify and investigate the role of red deer as a BVDV reservoir.

Utility of a panviral microarray for detection of swine respiratory viruses in clinical samples.

Several factors have recently converged, elevating the need for highly parallel diagnostic platforms that have the ability to detect many known, novel, and emerging pathogenic agents simultaneously. Panviral DNA microarrays represent the most robust approach for massively parallel viral surveillance and detection. The Virochip is a panviral DNA microarray that is capable of detecting all known viruses, as well as novel viruses related to known viral families, in a single assay and has been used to successfully identify known and novel viral agents in clinical human specimens. However, the usefulness and the sensitivity of the Virochip platform have not been tested on a set of clinical veterinary specimens with the high degree of genetic variance that is frequently observed with swine virus field isolates. In this report, we investigate the utility and sensitivity of the Virochip to positively detect swine viruses in both cell culture-derived samples and clinical swine samples. The Virochip successfully detected porcine reproductive and respiratory syndrome virus (PRRSV) in serum containing 6.10 × 10(2) viral copies per microliter and influenza A virus in lung lavage fluid containing 2.08 × 10(6) viral copies per microliter. The Virochip also successfully detected porcine circovirus type 2 (PCV2) in serum containing 2.50 × 10(8) viral copies per microliter and porcine respiratory coronavirus (PRCV) in turbinate tissue homogenate. Collectively, the data in this report demonstrate that the Virochip can successfully detect pathogenic viruses frequently found in swine in a variety of solid and liquid specimens, such as turbinate tissue homogenate and lung lavage fluid, as well as antemortem samples, such as serum.

A sensitive one-step real-time RT-PCR method for detection of deformed wing virus and black queen cell virus in honeybee Apis mellifera.

A one-step real-time RT-PCR based on SYBR Green (SG) chemistry was developed for the detection, differentiation and quantification of two of the most common viruses on the honeybee Apis mellifera L., deformed wing virus and black queen cell virus. Two sets of primers specific for each virus, were designed in conserved regions of the viral genome for their use in the one-step real-time RT-PCR. Both reactions were optimized for highest sensitivity and specificity and SG-based real-time was used to achieve quantitative detection. All samples evaluated in this study were from Spanish honeybee colonies. Viral detection and identification was confirmed by sequencing of the PCR products. The described one-step real-time SG RT-PCR proved to be a fast, accurate and useful technique to detect and even quantify these honeybee viruses that cause unapparent infections, and might contribute with other factors to the increasing honeybee colonies depopulation.

Metagenomic detection of viral pathogens in Spanish honeybees: co-infection by Aphid Lethal Paralysis, Israel Acute Paralysis and Lake Sinai Viruses.

The situation in Europe concerning honeybees has in recent years become increasingly aggravated with steady decline in populations and/or catastrophic winter losses. This has largely been attributed to the occurrence of a variety of known and "unknown", emerging novel diseases. Previous studies have demonstrated that colonies often can harbour more than one pathogen, making identification of etiological agents with classical methods difficult. By employing an unbiased metagenomic approach, which allows the detection of both unexpected and previously unknown infectious agents, the detection of three viruses, Aphid Lethal Paralysis Virus (ALPV), Israel Acute Paralysis Virus (IAPV), and Lake Sinai Virus (LSV), in honeybees from Spain is reported in this article. The existence of a subgroup of ALPV with the ability to infect bees was only recently reported and this is the first identification of such a strain in Europe. Similarly, LSV appear to be a still unclassified group of viruses with unclear impact on colony health and these viruses have not previously been identified outside of the United States. Furthermore, our study also reveals that these bees carried a plant virus, Turnip Ringspot Virus (TuRSV), potentially serving as important vector organisms. Taken together, these results demonstrate the new possibilities opened up by high-throughput sequencing and metagenomic analysis to study emerging new diseases in domestic and wild animal populations, including honeybees.

One-step real-time quantitative PCR assays for the detection and field study of Sacbrood honeybee and Acute bee paralysis viruses.

Two one-step real-time RT-PCR assays, based on SYBR Green (SG) chemistry, were developed or adapted respectively, for the detection, differentiation, and quantitation of two important honeybee viruses: Sacbrood virus (SBV) and Acute bee paralysis virus (ABPV). Both reactions were optimized to yield the highest sensitivity and specificity. The genome equivalent copies (GEC) detection limit per reaction was 389.3 for the ABPV RT-PCR. The GEC detection limit per reaction was 298.9 for the SBV RT-PCR. Viral detection and identification were confirmed by melting curve analysis and sequencing of the PCR products. Both techniques were used to evaluate Spanish field samples and establish the distribution of these viruses. Acute bee paralysis virus was not detected, and Sacbrood virus was present at low frequencies. The one-step real-time SG RT-PCR methods are fast, accurate, and useful for detecting and quantifying these honeybee viruses, which cause inapparent infections and contribute to the increasing depopulation of honeybee colonies.