Genetic diversity of BCoV in Brazilian cattle herds

Advances in Laboratory Diagnosis of Coronavirus Infections in Cattle

Coronaviruses cause infections in humans and diverse species of animals and birds with a global distribution. Bovine coronavirus (BCoV) produces predominantly two forms of disease in cattle: a respiratory form and a gastrointestinal form. All age groups of cattle are affected by the respiratory form of coronavirus, whereas the gastroenteric form causes neonatal diarrhea or calf scours in young cattle and winter dysentery in adult cattle. The tremendous impacts of bovine respiratory disease and the associated losses are well-documented and underscore the importance of this pathogen. Beyond this, studies have demonstrated significant impacts on milk production associated with outbreaks of winter dysentery, with up to a 30% decrease in milk yield. In North America, BCoV was identified for the first time in 1972, and it continues to be a significant economic concern for the cattle industry. A number of conventional and molecular diagnostic assays are available for the detection of BCoV from clinical samples. Conventional assays for BCoV detection include virus isolation, which is challenging from clinical samples, electron microscopy, fluorescent antibody assays, and various immunoassays. Molecular tests are mainly based on nucleic acid detection and predominantly include conventional and real-time polymerase chain reaction (PCR) assays. Isothermal amplification assays and genome sequencing have gained increased interest in recent years for the detection, characterization, and identification of BCoV. It is believed that isothermal amplification assays, such as loop-mediated isothermal amplification and recombinase polymerase amplification, among others, could aid the development of barn-side point-of-care tests for BCoV. The present study reviewed the literature on coronavirus infections in cattle from the last three and a half decades and presents information mainly on the current and advancing diagnostics in addition to epidemiology, clinical presentations, and the impact of the disease on the cattle industry.

Genetic characterization of bovine coronavirus strain isolated in Inner Mongolia of China

BACKGROUND

Bovine coronavirus (BCoV) is implicated in severe diarrhea in calves and contributes to the bovine respiratory disease complex; it shares a close relationship with human coronavirus. Similar to other coronaviruses, remarkable variability was found in the genome and biology of the BCoV. In 2022, samples of feces were collected from a cattle farm. A virus was isolated from 7-day-old newborn calves. In this study, we present the genetic characteristics of a new BCoV isolate. The complete genomic, spike protein, and nucleocapsid protein gene sequences of the BCoV strain, along with those of other coronaviruses, were obtained from the GenBank database. Genetic analysis was conducted using MEGA7.0 and the Neighbor-Joining (NJ) method. The reference strains' related genes were retrieved from GenBank for comparison and analysis using DNAMAN.

RESULTS

The phylogenetic tree and whole genome consistency analysis showed that it belonged to the GIIb subgroup, which is epidemic in Asia and America, and was quite similar to the Chinese strains in the same cluster. Significantly, the S gene was highly consistent with QH1 (MH810151.1) isolated from yak. This suggests that the strain may have originated from interspecies transmission involving mutations of wild strains. The N gene was conserved and showed high sequence identity with the epidemic strains in China and the USA.

CONCLUSIONS

Genetic characterization suggests that the isolated strain could be a new mutant from a wild-type lineage, which is in the same cluster as most Chinese epidemic strains but on a new branch.

Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human-Coronavirus Family Interactome

SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host proteins. As a result, identifying virus and host protein-protein interactions could help researchers better understand the virus disease transmission behavior and identify possible COVID-19 drugs. The International Committee on Virus Taxonomy has determined that nCoV is genetically 89% compared to the SARS-CoV epidemic in 2003. This paper focuses on assessing the host-pathogen protein interaction affinity of the coronavirus family, having 44 different variants. In light of these considerations, a GO-semantic scoring function is provided based on Gene Ontology (GO) graphs for determining the binding affinity of any two proteins at the organism level. Based on the availability of the GO annotation of the proteins, 11 viral variants, viz., SARS-CoV-2, SARS, MERS, Bat coronavirus HKU3, Bat coronavirus Rp3/2004, Bat coronavirus HKU5, Murine coronavirus, Bovine coronavirus, Rat coronavirus, Bat coronavirus HKU4, Bat coronavirus 133/2005, are considered from 44 viral variants. The fuzzy scoring function of the entire host-pathogen network has been processed with ~180 million potential interactions generated from 19,281 host proteins and around 242 viral proteins. ~4.5 million potential level one host-pathogen interactions are computed based on the estimated interaction affinity threshold. The resulting host-pathogen interactome is also validated with state-of-the-art experimental networks. The study has also been extended further toward the drug-repurposing study by analyzing the FDA-listed COVID drugs.

[Genetic diversity of Siberian bovine coronavirus isolates (Coronaviridae: Coronavirinae: Betacoronavirus-1: Bovine-Like coronaviruses)]

INTRODUCTION

Bovine coronaviruses (BCoVs) are causative agents of diarrhea, respiratory diseases in calves and winter cow dysentery. The study of genetic diversity of these viruses is topical issue. The purpose of the research is studying the genetic diversity of BCoV isolates circulating among dairy cattle in Siberia.

MATERIALS AND METHODS

Specimens used in this study were collected from animals that died or was forcedly slaughtered before the start of the study. The target for amplification were nucleotide sequences of S and N gene regions.

RESULTS

Based on the results of RT-PCR testing, virus genome was present in 16.3% of samples from calves with diarrheal syndrome and in 9.9% with respiratory syndrome. The nucleotide sequences of S gene region were determined for 18 isolates, and N gene sequences - for 12 isolates. Based on S gene, isolates were divided into two clades each containing two subclades. First subclade of first clade (European line) included 11 isolates. Second one included classic strains Quebec and Mebus, strains from Europe, USA and Korea, but none of sequences from this study belonged to this subclade. 6 isolates belonged to first subclade of second clade (American-Asian line). Second subclade (mixed line) included one isolate. N gene sequences formed two clades, one of them included two subclades. First subclade included 3 isolates (American-Asian line), and second subclade (mixed) included one isolate. Second clade (mixed) included 8 sequences. No differences in phylogenetic grouping between intestinal and respiratory isolates, as well as according to their geographic origin were identified.

CONCLUSION

The studied population of BCoV isolates is heterogeneous. Nucleotide sequence analysis is a useful tool for studying molecular epidemiology of BCoV. It can be beneficial for choice of vaccines to be used in a particular geographic region.

Systematic review and meta-analysis of the prevalence of coronavirus: One health approach for a global strategy

Coronaviruses have been responsible for major epidemic crises in 2003 with SARS-CoV-1, in 2012 with MERS-CoV and in 2019 with SARS-CoV-2 (COVID-19), causing serious atypical pneumonia in humans. We intend, with this systematic analysis and meta-analysis, to clarify the prevalence of the various strains of coronavirus in different animal species. For this purpose, we carried out an electronic survey using Pubmed's Veterinary Science search tool to conduct a systematic assessment of published studies reporting the prevalence of different strains of coronavirus in different animal species between 2015 and 2020. We conducted different analysis to assess sensitivity, publication bias, and heterogeneity, using random effect. The final meta-analysis included 42 studies for systematic review and 29 in the meta-analysis. For the geographic regions with a prevalence greater than or equal to 0.20 (Forest plot overall; prevalence = 0.20, p < 0.01, Q = 10,476.22 and I2 = 100%), the most commonly detected viruses were: enteric coronavirus (ECoV), pigeon-dominant coronavirus, (PdCoV), Avian coronavirus M41, Avian coronavirus C46, Avian coronavirus A99, Avian coronavirus JMK, MERS-CoV, Bovine coronavirus, Ro-BatCoV GCCDC1, Alphacoronavirus, Betacoronavirus, Deltacoronavirus, Gamacoronavirus and human coronaviruses (HCoVs). The wide presence of different strains of coronavirus in different animal species on all continents demonstrates the great biodiversity and ubiquity of these viruses.

The most recent epidemiological crises caused by coronavirus demonstrates our unpreparedness to anticipate and mitigate emerging risks, as well as the need to implement new epidemiological surveillance programs for viruses. Combined with the need to create advanced training courses in One Health, this is paramount in order to ensure greater effectiveness in fighting the next pandemics.

Epidemiological survey and genetic diversity of bovine coronavirus in Northeast China

In 2020, to trace the prevalence and evolution of bovine coronavirus (BCoV) in China, a total of 1383 samples (1016 fecal samples and 367 nasal swab samples) were collected from 1016 cattle exhibiting diarrhea symptoms on dairy farms and beef cattle farms in Heilongjiang Province, Northeast China. All samples were subjected to reverse transcription-polymerase chain reaction (RT-PCR) detection of the BCoV N gene, followed by an analysis of its epidemiology and genetic evolution. The results indicated that of the 1016 diarrhea-affected cattle, 15.45% (157/1016) were positive for BCoV, in which positive rates of the fecal and nasal swab samples were 12.20% (124/1016) and 21.53% (79/367), respectively. Of the 367 cattle whose nasal swab samples were collected, the BCoV positive rate of the corresponding fecal samples was 15.26% (56/367). BCoV infection was significantly associated with age, farming pattern, cattle type, farm latitude, sample type, and clinical symptom (p < 0.05). Of the 203 BCoV-positive samples, 20 spike (S) genes were successfully sequenced. The 20 identified BCoV strains shared nucleotide homologies of 97.7-100.0%, and their N-terminal domain of S1 subunit (S1-NTD: residues 15-298) differed genetically from the reference strains of South Korea and Europe. The 20 identified BCoV strains were clustered in the Asia-North America group (GII group) in the global strain-based phylogenetic tree and formed three clades in the Chinese strain-based phylogenetic tree. The HLJ/HH-10/2020 strain was clustered into the Europe group (GI group) in the S1-NTD-based phylogenetic tree, exhibiting N¹⁴⁶/I, D¹⁴⁸/G, and L¹⁵⁴/F mutations that affect the S protein structure. Of the identified BCoV strains, one potential recombination event occurred between the HLJ/HH-20/2020 and HLJ/HH-10/2020 strains, which led to the generation of the recombinant BCV-AKS-01 strain. A selective pressure analysis on the S protein revealed one positively selected site (Asn⁵⁰⁹) among the 20 identified BCoV strains located inside the putative receptor binding domain (residues 326-540). These data provide a greater understanding of the epidemiology and evolution of BCoV in China.

Bovine coronavirus infections in Turkey: molecular analysis of the full-length spike gene sequences of viruses from digestive and respiratory infections

Bovine coronavirus (BCoV) can be spread by animal activity. Although cattle farming is widespread in Turkey, there are few studies of BCoV. The aim of this study was to evaluate the current situation regarding BCoV in Turkey. This is the first study reporting the full-length nucleotide sequences of BCoV spike (S) genes in Turkey. Samples were collected from 119 cattle with clinical signs of respiratory (n = 78) or digestive tract (n = 41) infection on different farms located across widely separated provinces in Turkey. The samples were screened for BCoV using RT-nested PCR targeting the N gene, which identified BCoV in 35 samples (9 faeces and 26 nasal discharge). RT-PCR analysis of the S gene produced partial/full-length S gene sequences from 11 samples (8 faeces and 3 nasal discharge samples). A phylogenetic tree of the S gene sequences was made to analyze the genetic relationships among BCoVs from Turkey and other countries. The results showed that the local strains present in faeces and nasal discharge samples had many different amino acid changes. Some of these changes were shown in previous studies to be critical for tropism. This study provides new data on BCoV in Turkey that will be valuable in designing effective vaccine approaches and control strategies.

Bovine coronavirus in Uruguay: genetic diversity, risk factors and transboundary introductions from neighboring countries

Bovine coronavirus (BCoV) is a recognized cause of severe neonatal calf diarrhea, with a negative impact on animal welfare, leading to economic losses to the livestock industry. Cattle production is one of the most important economic sectors in Uruguay. The aim of this study was to determine the frequency of BCoV infections and their genetic diversity in Uruguayan calves and to describe the evolutionary history of the virus in South America. The overall detection rate of BCoV in Uruguay was 7.8% (64/824): 7.7% (60/782) in dairy cattle and 9.5% (4/42) in beef cattle. The detection rate of BCoV in samples from deceased and live calves was 10.0% (6/60) and 7.6% (58/763), respectively. Interestingly, there was a lower frequency of BCoV detection in calves born to vaccinated dams (3.3%, 8/240) than in calves born to unvaccinated dams (12.2%, 32/263) (OR: 4.02, 95%CI: 1.81–8.90; p = 0.00026). The frequency of BCoV detection was higher in colder months (11.8%, 44/373) than in warmer months (1.5%, 3/206) (OR: 9.05, 95%CI: 2.77–29.53, p = 0.000013). Uruguayan strains grouped together in two different lineages: one with Argentinean strains and the other with Brazilian strains. Both BCoV lineages were estimated to have entered Uruguay in 2013: one of them from Brazil (95%HPD interval: 2011–2014) and the other from Argentina (95%HPD interval: 2010–2014). The lineages differed by four amino acid changes, and both were divergent from the Mebus reference strain. Surveillance should be maintained to detect possible emerging strains that can clearly diverge at the antigenic level from vaccine strains.