Validation of a real-time PCR panel for detection and quantification of nine pathogens commonly associated with canine infectious respiratory disease.

Canine infectious respiratory disease (CIRD) is a complicated respiratory syndrome in dogs [1], [2], [3]. A panel PCR was developed [4] to detect nine pathogens commonly associated with CIRD: Mycoplasma cynos, Mycoplasma canis, Bordetella bronchiseptica; canine adenovirus type 2, canine herpesvirus 1, canine parainfluenza virus, canine distemper virus, canine influenza virus and canine respiratory coronavirus [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16]. To evaluate diagnostic performance of the assay, 740 nasal swab and lung tissue samples were collected and tested with the new assay, and compared to an older version of the assay detecting the same pathogens except that it does not differentiate the two Mycoplasma species. Results indicated that the new assay had the same level of specificity, but with higher diagnostic sensitivity and had identified additional samples with potential co-infections. To confirm the new assay is detecting the correct pathogens, samples with discrepant results between the two assays were sequence-confirmed. Spiking a high concertation target to samples carrying lower concentrations of other targets was carried out and the results demonstrated that there was no apparent interference among targets in the same PCR reaction. Another spike-in experiment was used to determine detection sensitivity between nasal swab and lung tissue samples, and similar results were obtained.•A nine-pathogen CIRD PCR panel assay had identified 139 positives from 740 clinical samples with 60 co-infections;•High-concentration target does not have apparent effect on detecting low-concentration targets;•Detection sensitivity were similar between nasal swab and lung tissue samples.

Development of a three-panel multiplex real-time PCR assay for simultaneous detection of nine canine respiratory pathogens.

Infectious respiratory disease is one of the most common diseases in dogs worldwide. Several bacterial and viral pathogens can serve as causative agents of canine infectious respiratory disease (CIRD), including Mycoplasma cynos, Mycoplasma canis, Bordetella bronchiseptica, canine adenovirus type 2 (CAdV-2), canine herpesvirus 1 (CHV-1), canine parainfluenza virus (CPIV), canine distemper virus (CDV), canine influenza virus (CIA) and canine respiratory coronavirus (CRCoV). Since these organisms cause similar clinical symptoms, disease diagnosis based on symptoms alone can be difficult. Therefore, a quick and accurate test is necessary to rapidly identify the presence and relative concentrations of causative CIRD agents. In this study, a multiplex real-time PCR panel assay was developed and composed of three subpanels for detection of the aforementioned pathogens. Correlation coefficients (R2) were >0.993 for all singleplex and multiplex real-time PCR assays with the exception of one that was 0.988; PCR amplification efficiencies (E) were between 92.1% and 107.8% for plasmid DNA, and 90.6-103.9% for RNA templates. In comparing singular and multiplex PCR assays, the three multiplex reactions generated similar R2 and E values to those by corresponding singular reactions, suggesting that multiplexing did not interfere with the detection sensitivities. The limit of detection (LOD) of the multiplex real-time PCR for DNA templates was 5, 2, 3, 1, 1, 1, 4, 24 and 10 copies per microliter for M. cynos, M. canis, B. brochiseptica, CAdV-2, CHV-1, CPIV, CDV, CIA and CRCoV, respectively; and 3, 2, 6, 17, 4 and 8 copies per microliter for CAdV-2, CHV-1, CPIV, CDV, CIA and CRCoV, respectively, when RNA templates were used for the four RNA viruses. No cross-detection was observed among the nine pathogens. For the 740 clinical samples tested, the newly designed PCR assay showed higher diagnostic sensitivity compared to an older panel assay; pathogen identities from selected samples positive by the new assay but undetected by the older assay were confirmed by Sanger sequencing. Our data showed that the new assay has higher diagnostic sensitivity while maintaining the assay's specificity, as compared to the older version of the panel assay.

Molecular detection of SARS-CoV-2 and differentiation of Omicron and Delta variant strains.

The SARS-CoV-2 virus is the causative agent of COVID-19 and has undergone continuous mutations throughout the pandemic. The more transmissible Omicron variant has quickly spread and is replacing the Delta variant as the most prevalent strain globally, including in the United States. A new molecular assay that can detect and differentiate both the Delta and Omicron variants was developed. A collection of 660,035 SARS-CoV-2 full- or near-full genomes, including 169,454 Delta variant and 24,202 Omicron variant strains, were used for primer and probe designs. In silico data analysis predicted an assay coverage of >99% of all strains, including >99% of the Delta and >99% of Omicron strains. The Omicron variant differential test was designed based on the Δ31-33 aa deletion in the N-gene, which is present in the original B.1.1.529 main genotype, BA.1, as well as in BA.2 and BA.3 subtypes. Therefore, the assay should detect the majority of all Omicron variant strains. Standard curves generated with human clinical samples indicated that the PCR amplification efficiencies were 104%, 90.7% and 90.4% for the Omicron, Delta, and non-Delta/non-Omicron wild-type genotypes, respectively. Correlation coefficients of the standard curves were all >0.99. The detection limit of the assay was 14.3, 32.0, and 21.5 copies per PCR reaction for Omicron, Delta, and wild-type genotypes, respectively. The assay was designed to specifically detect SAR-CoV-2 strains. Selected samples with Omicron, Delta and wild-type genotypes identified by the RT-qPCR assay were also confirmed by sequencing. The assay did not detect any animal coronavirus-positive samples that were tested. Human nasal swab samples that previously tested positive (n = 182) or negative (n = 42) for SARS-CoV-2 by the ThermoFisher TaqPath COVID-19 Combo Kit, produced the same result with the new assay. Among positive samples, 55.5% (101/182), 23.1% (42/182), and 21.4% (39/182) were identified as Omicron, Delta, and non-Omicron/non-Delta wild-type genotypes, respectively.

Development of a real-time PCR assay for detection and differentiation of Mycoplasma ovipneumoniae and a novel respiratory-associated Mycoplasma species in domestic sheep and goats.

A novel respiratory-associated Mycoplasma species (M. sp. nov.) of unknown clinical significance was recently identified that causes false positive results with multiple published PCR methods reported to specifically detect Mycoplasma ovipneumonaie, a well-known respiratory pathogen in small ruminants. This necessitates our objective to develop a real-time PCR (qPCR) assay for improved specificity and sensitivity, and more rapid detection and differentiation of M. ovipneumoniae and the M. sp. nov. in domestic sheep (DS) and domestic goat (DG) samples, as compared to a conventional PCR and sequencing (cPCR-seq) assay. Primers and probes were designed based on available M. ovipneumoniae 16S rRNA gene sequences in the GenBank database, and partial 16S rRNA gene sequences provided by the United States Department of Agriculture, Agricultural Research Service (USDA-ARS) for M. ovipneumoniae and M. sp. nov. USDA-ARS provided DS (n = 153) and DG (n = 194) nasal swab nucleic acid that previously tested positive for either M. ovipneumoniae (n = 117) or M. sp. nov. (n = 138), or negative for both targets (n = 92) by cPCR-seq. A host 18S rRNA gene was included as an internal control to monitor for the failure of nucleic acid extraction and possible PCR inhibition. For samples positive by cPCR-seq, qPCR agreement was 88.0% (103/117; κ = 0.81) and 89.9% (124/138; κ = 0.84) for M. ovipneumoniae and M. sp. nov., respectively; 12 of 255 (4.7%) cPCR-seq positive samples were qPCR positive for both targets. Of samples negative by cPCR for both mycoplasmas, qPCR detected M. ovipneumoniae and M. sp. nov. in 6.5% (6/92) and 4.3% (4/92), respectively. Samples with discordant results between the cPCR and sequencing assay and the new qPCR were analyzed by target sequencing; successfully sequenced samples had identity matches that confirmed the qPCR result. The increased target specificity of this qPCR is predicted to increase testing accuracy as compared to other published assays.

Molecular detection of SARS-CoV-2 strains and differentiation of Delta variant strains.

The Delta variant of SARS-CoV-2 has now become the predominant strain in the global COVID-19 pandemic. Strain coverage of some detection assays developed during the early pandemic stages has declined due to periodic mutations in the viral genome. We have developed a real-time RT-PCR (RT-qPCR) for SARS-CoV-2 detection that provides nearly 100% strain coverage, and differentiation of highly transmissible Delta variant strains. All full or nearly full (≥28 kb) SARS-CoV-2 genomes (n = 403,812), including 6422 Delta and 280 Omicron variant strains, were collected from public databases at the time of analysis and used for assay design. The two amino acid deletions in the spike gene (S-gene, Δ156-157) that is characteristic of the Delta variant were targeted during the assay design. Although strain coverage for the Delta variant was very high (99.7%), detection coverage for non-Delta wild-type strains was 93.9%, mainly due to the confined region of design. To increase strain coverage of the assay, the design for CDC N1 target was added to the assay. In silico analysis of 403,812 genomes indicated a 95.4% strain coverage for the CDC N1 target, however, in combination with our new non-Delta S-gene target, total coverage for non-Delta wild-type strains increased to 99.8%. A human 18S rRNA gene was also analyzed and used as an internal control. The final four-plex RT-qPCR assay generated PCR amplification efficiencies between 95.4% and 102.0% with correlation coefficients (R2 ) of >0.99 for cloned positive controls; Delta and non-Delta human clinical samples generated PCR efficiencies of 93.4%-97.0% and R2  > 0.99. The assay also detects 98.6% of 280 Omicron sequences. Assay primers and probes have no match to other closely related human coronaviruses, and did not produce a signal from samples positive to selected animal coronaviruses. Genotypes of selected clinical samples identified by the RT-qPCR were confirmed by Sanger sequencing.

Evaluation of the Bachelor of Veterinary Medicine (BVM) Curriculum at Sokoine University of Agriculture in Tanzania: Mapping to OIE Veterinary Graduate 'Day 1 Competencies'.

The World Organisation for Animal Health (OIE) provides the requirements needed for graduating veterinary professionals to be competent in the delivery of animal health services. However, significant differences in veterinary curricula across countries-attributable to differing animal health priorities and predominant types of veterinary practice-provide a challenge for veterinary schools to address these competencies adequately. As part of the OIE's veterinary education establishment Twinning Project activities, the College of Veterinary Medicine and Biomedical Sciences (CVMBS) of Sokoine University of Agriculture (SUA) in Tanzania undertook a curriculum mapping and gap analysis to assess the extent to which the veterinary curriculum addresses OIE's 'Day 1 Competencies' for graduating veterinarians. Results of the analysis indicated that all the OIE's Day 1 Competencies (general, specific, and advanced) are addressed to some degree by the courses present in the curriculum. However, gaps in the depth and breadth of instruction were found for a number of competencies in all three categories. These findings indicate a need for addressing the gaps in the next curriculum review. This will allow the development of a stronger curriculum that will efficiently meet the national and international animal health requirements.

Student and Institutional Achievements during an OIE Veterinary Education Twinning Project Collaboration between Sokoine University of Agriculture and Kansas State University.

This collaborative partnership aimed to enhance the quality of veterinary education at both Sokoine University of Agriculture (SUA), College of Veterinary Medicine and Biomedical Sciences (Tanzania), and Kansas State University (KSU), College of Veterinary Medicine (United States), by facilitating exchange of knowledge, experience, and ideas. One project objective was to integrate the World Organisation for Animal Health (OIE) Guidelines on Veterinary Education Core Curriculum into the SUA education program so veterinary graduates would be equipped with the minimum competencies needed to support their National Veterinary Services (OIE Day 1 Competencies). Curriculum mapping revealed that partners addressed different OIE Day 1 Competencies to varying degrees and they had complementary strengths and weaknesses. The partners' practical and educational experiences were also complementary, providing each opportunities to learn from the other and a solid basis for long-term mutually beneficial collaboration. Through structured exchanges, the collaboration allowed SUA and KSU students and faculty to broaden their perspectives by exposing them to veterinary medicine, culture, ecosystems, teaching environments, and farming systems in each other's country. Visiting faculties and students from both universities were exposed to different livestock systems, varying dynamics at the human-livestock-wildlife interface, different teaching systems, and a veterinary profession with a different culture and focus than that in their own country. Students and faculty learned about the relative social and economic importance of different types of animal production in each country and their influence on veterinary education priorities. Partnership outcomes include a continuing professional development course at SUA for private and public sector veterinarians and a clinical club to expose students at both colleges to a broader range of clinical cases and knowledge.

Rift Valley fever seroprevalence and abortion frequency among livestock of Kisoro district, South Western Uganda (2016): a prerequisite for zoonotic infection.

BACKGROUND: Rift Valley fever (RVF) is classified as viral hemorrhagic fever and is endemic in East and West Africa. RVF is caused by an arthropod borne virus (RVFV); the disease is zoonotic and affects human, animal health as well as international trade. In livestock it causes abortions, while human infection occurs through close contact with infected animals or animal products. METHODS: A quantitative observational study using stratified sampling was conducted in the western region of Uganda. Blood samples and abortion events from 1000 livestock (goats, sheep and cattle) was collected and recorded. Serum was analyzed for RVFV IgG reacting antibodies using competitive ELISA test. RESULTS: The overall RVFV seroprevalence was of 10.4% (104/1000). Cattle had the highest seroprevalence (7%) followed by Sheep (2.2%) then goats (1.2%). Species specific RVFV seroprevalence was highest in cattle (20.5%) followed by sheep (6.8%) then goats (3.6%). RVFV seroprevalence in northern highlands (21.8%) was significantly higher (p < 0.001) than in the southern lowlands (3.7%). Overall prevalence of abortion was (17.4%), sheep had the highest prevalence of abortion (7.8%) followed by goats (6.3%) and then cattle (3.3%). Species specific abortion prevalence was highest in Sheep (24.1%) followed by goats (18.8%) and then 9.7% in cattle. CONCLUSION: RVFV is endemic in Kisoro district and livestock in the highland areas are more likely to be exposed to RVFV infection compared to those in the southern lowlands. Out breaks in livestock most likely will lead to zoonotic infection in Kisoro district.

Prevalence of brucellosis in dairy cattle from the main dairy farming regions of Eritrea.

In order to get a reliable estimate of brucellosis prevalence in Eritrean dairy cattle, a cross-sectional study was carried out in 2009. The survey considered the sub-population of dairy cattle reared in modern small- and medium-sized farms. Samples were screened with the Rose Bengal test (RBT) and positive cases were confirmed with the complement fixation test (CFT). A total of 2.77%(417/15 049; Credibility Interval CI: 2.52% - 3.05%) of the animals tested in this study were positive for antibodies to Brucellaspecies, with a variable and generally low distribution of positive animals at regional level. The highest seroprevalence was found in the Maekel region (5.15%; CI: 4.58% - 5.80%), followed by the Debub (1.99%; CI: 1.59% - 2.50%) and Gash-Barka (1.71%; CI: 1.34% - 2.20%) regions. Seroprevalence at sub-regional levels was also generally low, except for two sub-regions of Debub and the sub-region Haicota from the Gash-Barka region. Seroprevalence was high and more uniformly distributed in the Maekel region, namely in the Asmara, Berik and Serejeka sub-regions. Considering the overall low brucellosis prevalence in the country, as identified by the present study, a brucellosis eradication programme for dairy farms using a test-and-slaughter policy would be possible. However, to encourage the voluntary participation of farmers to the programme and to raise their awareness of the risks related to the disease for animals and humans, an extensive public awareness campaign should be carefully considered, as well as strict and mandatory dairy movement control.