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14 pages, 2217 KiB  
Article
Phylogenetic Analysis of Alphacoronaviruses Based on 3c and M Gene Sequences Isolated from Cats with FIP in Romania
by Ivona Popovici, Sophie Le Poder, Cristina-Mihaela Rîmbu and Cristina-Elena Horhogea
Microorganisms 2024, 12(8), 1557; https://doi.org/10.3390/microorganisms12081557 - 30 Jul 2024
Viewed by 352
Abstract
Coronaviruses are widespread in mammals and birds, causing mostly digestive and respiratory problems. In cats, feline coronaviruses undergo mutations while replicating, giving rise to the fatal coronavirus causing the feline infectious peritonitis (FIP) disease. Several mutations in viral genes, among them 3c and [...] Read more.
Coronaviruses are widespread in mammals and birds, causing mostly digestive and respiratory problems. In cats, feline coronaviruses undergo mutations while replicating, giving rise to the fatal coronavirus causing the feline infectious peritonitis (FIP) disease. Several mutations in viral genes, among them 3c and M, are involved in the development of FIP. In order to study these viral shifts, samples of 43 organs, feces, and ascites collected from cats showing clinical signs of feline infectious peritonitis were tested, and the sequences obtained for the 3c and M genes were analyzed. The 3c gene nucleotides showed truncations commonly observed in feline infectious peritonitis virus. Additionally, the sequences corresponding to the 3c genes obtained from different organs of the same individual displayed high similarities, supporting the internal mutation theory. The analyses of the M gene and putative polypeptides showed similarities with canine coronaviruses, supporting the recombination theory between feline and canine coronaviruses. Infectious coronaviral strains are still challenging because of the difficulty in obtaining an effective vaccine for their prevention, and also because of the limited alternatives for therapy of FIP in cats. Full article
(This article belongs to the Section Molecular Microbiology and Immunology)
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Figure 1
<p>Clustalw alignment of the 3c proteins obtained from different samples collected from the same individual (M3) showing identical amino acids in the same positions for the coronavirus sequences compared with the coronavirus strain UU19. The “*” at the bottom shows where the aminoacids are identical in all the samples; the “:” indicates the positions where there are differences between aminoacids of the analyzed samples. The “*” in the sequence of aminoacids indicates a stop codon. The “-” was used when no aminoacid was available (due to deletions). The box indicates the amino acids of interest for the 3c protein analyses.</p>
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<p>(<b>a</b>) The predicted 3c polypeptide alignment. The “*” at the bottom shows where the amino acids are identical in all the samples; the “.” indicates the positions where there are differences between amino acids of the analyzed samples. The “*” in the sequence of amino acids indicates a stop codon. The “-” was used when no amino acid was available (due to deletions). (<b>b</b>) Phylogenetic maximum parsimony tree obtained using a gapless alignment of the 3c gene corresponding polypeptides. The 3c canine coronavirus polypeptide (GenBank accession number EU924791) was used as an outgroup. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to branches. Evolutionary analysis was conducted in MEGA11.</p>
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<p>Alignment with ClustalW of amino acid polypeptide sequences corresponding to the M gene of coronaviruses identified on different samples with the five sites incriminated in feline coronavirus pathogenicity. The “*” at the bottom shows where the amino acids are identical in all the samples; the “.”and “:” indicates the positions where there are differences between amino acids of the analyzed samples. The “*” in the sequence of amino acids indicates a stop codon. The “-” was used when no amino acid was available (due to deletions).</p>
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<p>Phylogenetic tree based on amino acid polypeptides corresponding to M proteins, constructed using the maximum parsimony obtained using a gapless alignment of the M gene corresponding polypeptides. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) are shown next to branches. Evolutionary analysis was conducted in MEGA11.</p>
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11 pages, 1576 KiB  
Article
Predominance of Canine Parainfluenza Virus and Mycoplasma in Canine Infectious Respiratory Disease Complex in Dogs
by Aurelle Yondo, Allen A. Kalantari, Ingrid Fernandez-Marrero, Amy McKinney, Hemant K. Naikare and Binu T. Velayudhan
Pathogens 2023, 12(11), 1356; https://doi.org/10.3390/pathogens12111356 - 15 Nov 2023
Cited by 2 | Viewed by 2193
Abstract
Canine infectious respiratory disease complex (CIRDC) is caused by different viruses and bacteria. Viruses associated with CIRDC include canine adenovirus type 2 (CAV-2), canine distemper virus (CDV), canine influenza virus (CIV), canine herpesvirus type 1 (CHV-1), canine respiratory coronavirus (CRCoV), and canine parainfluenza [...] Read more.
Canine infectious respiratory disease complex (CIRDC) is caused by different viruses and bacteria. Viruses associated with CIRDC include canine adenovirus type 2 (CAV-2), canine distemper virus (CDV), canine influenza virus (CIV), canine herpesvirus type 1 (CHV-1), canine respiratory coronavirus (CRCoV), and canine parainfluenza virus (CPIV). Bacteria associated with CIRDC include Bordetella bronchiseptica, Streptococcus equi subspecies zooepidemicus (S. zooepidemicus), and Mycoplasma spp. The present study examined the prevalence of CIRDC pathogens in specimens received by a Veterinary Diagnostic Laboratory in Georgia, USA., from 2018 to 2022. Out of 459 cases, viral agents were detected in 34% of cases and bacterial agents were detected in 58% of cases. A single pathogen was detected in 31% of cases, while two or more pathogens were identified in 24% of cases. The percentages of viral agents identified were CAV-2 (4%), CDV (3%), CPIV (16%), CRCoV (7%), and CIV (2%). The percentages of bacterial agents were B. bronchiseptica (10%), Mycoplasma canis (24%), Mycoplasma cynos (21%), and S. zooepidemicus (2%). Over the five-year period, the positive cases ranged from 2–4% for CAV-2, 1–7% for CDV, 1–4% for CHV-1, 9–22% for CPIV, 4–13% for CRCoV, and 1–4% for CIV. Overall, the most prevalent pathogens associated with CIRDC were CPIV, M. canis, and M. cynos. Full article
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<p>Overall prevalence of CIRDC pathogens.</p>
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<p>Age-wise distribution of CIRDC pathogens (2018–2022).</p>
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<p>(<b>A</b>) Number of total cases (positive and negative) received during cold and warm seasons. (<b>B</b>) Prevalence of positives cases during cold and warm seasons as a percentage of total cases per year.</p>
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14 pages, 1195 KiB  
Article
Multiplex One-Step RT-qPCR Assays for Simultaneous Detection of SARS-CoV-2 and Other Enteric Viruses of Dogs and Cats
by Côme J. Thieulent, Mariano Carossino, Laura Peak, Wendy Wolfson and Udeni B. R. Balasuriya
Viruses 2023, 15(9), 1890; https://doi.org/10.3390/v15091890 - 7 Sep 2023
Cited by 5 | Viewed by 1627
Abstract
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was transmitted from humans to dogs and cats (reverse zoonosis) during the COVID-19 pandemic. SARS-CoV-2 has been detected in fecal samples of infected dogs and cats, indicating potential fecal–oral transmission, environmental contamination, and zoonotic transmission (i.e., [...] Read more.
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) was transmitted from humans to dogs and cats (reverse zoonosis) during the COVID-19 pandemic. SARS-CoV-2 has been detected in fecal samples of infected dogs and cats, indicating potential fecal–oral transmission, environmental contamination, and zoonotic transmission (i.e., spillback). Additionally, gastrointestinal viral infections are prevalent in dogs and cats. In this study, we developed and validated a panel of multiplex one-step reverse transcription–quantitative polymerase chain reaction (RT-qPCR) assays for the simultaneous detection of SARS-CoV-2 and common canine enteric viruses: Canine Enteric Assay_1 (CEA_1) for the detection of canine adenovirus-1, canine enteric coronavirus, canine distemper virus, and canine parvovirus, and CEA_2 for the detection of rotavirus A (RVA), and SARS-CoV-2); or common feline enteric viruses (Feline Enteric Assay_1 (FEA_1) for the detection of feline enteric coronavirus, feline panleukopenia virus, RVA, and SARS-CoV-2). All assays demonstrated high analytical sensitivity, detecting as few as 5–35 genome copies/µL in multiplex format. The repeatability and reproducibility of the multiplex assays were excellent, with coefficient of variation <4%. Among the 58 clinical samples tested, 34.5% were positive for at least one of these viruses, and SARS-CoV-2 was detected in two samples collected from one dog and one cat, respectively. In conclusion, these newly developed one-step multiplex RT-qPCR assays allow for rapid diagnosis of enteric viral infections, including SARS-CoV-2, in dogs and cats. Full article
(This article belongs to the Special Issue Viral Infections in Companion Animals: Volume 2)
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<p>Comparison of analytical sensitivity of each singleplex and multiplex RT-qPCR assays for the detection of SARS-CoV-2 and canine and feline enteric viruses. CEA: Canine enteric assay; Ct: Cycle threshold; FEA: Feline enteric assay; <span class="html-italic">IVT</span> RNA: in vitro transcribed RNA; R<sup>2</sup>: linearity; E: Efficiency.</p>
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16 pages, 1695 KiB  
Article
Development and Validation of a Panel of One-Step Four-Plex qPCR/RT-qPCR Assays for Simultaneous Detection of SARS-CoV-2 and Other Pathogens Associated with Canine Infectious Respiratory Disease Complex
by Côme J. Thieulent, Mariano Carossino, Laura Peak, Keith Strother, Wendy Wolfson and Udeni B. R. Balasuriya
Viruses 2023, 15(9), 1881; https://doi.org/10.3390/v15091881 - 5 Sep 2023
Cited by 4 | Viewed by 1568
Abstract
Canine infectious respiratory disease complex (CIRDC) is the primary cause of respiratory disease in the canine population and is caused by a wide array of viruses and bacterial pathogens with coinfections being common. Since its recognition in late 2019, Severe Acute Respiratory Syndrome [...] Read more.
Canine infectious respiratory disease complex (CIRDC) is the primary cause of respiratory disease in the canine population and is caused by a wide array of viruses and bacterial pathogens with coinfections being common. Since its recognition in late 2019, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) has been reported to cause respiratory disease in dogs. Therefore, the rapid detection and differentiation of SARS-CoV-2 from other common viral and bacterial agents is critical from a public health standpoint. Here, we developed and validated a panel of four one-step multiplex qPCR/RT-qPCR assays for the detection and identification of twelve pathogens associated with CIRDC (canine adenovirus-2, canine distemper virus, canine herpesvirus-1, canine influenza A virus, canine parainfluenza virus, canine pneumovirus, canine respiratory coronavirus, SARS-CoV-2, Bordetella bronchiseptica, Streptococcus equi subsp. zooepidemicus, Mycoplasma cynos, and M. canis), as well as the identification of three main CIV subtypes (i.e., H3N2, H3N8, and H1N1). All developed assays demonstrated high specificity and analytical sensitivity. This panel was used to test clinical specimens (n = 76) from CIRDC-suspected dogs. M. canis, M. cynos, and CRCoV were the most frequently identified pathogens (30.3%, 25.0%, and 19.7% of samples, respectively). The newly emerging pathogens CPnV and SARS-CoV-2 were detected in 5.3% of samples and coinfections were identified in 30.3%. This new multiplex qPCR/RT-qPCR panel is the most comprehensive panel developed thus far for identifying CIRDC pathogens, along with SARS-CoV-2. Full article
(This article belongs to the Special Issue Viral Infections in Companion Animals: Volume 2)
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Figure 1
<p>Comparison of analytical sensitivity of each singleplex and multiplex qPCR and RT-qPCR assays for the detection of pathogens associated with CIRDC and SARS-CoV-2. Ct: cycle threshold; <span class="html-italic">IVT</span> RNA: in vitro transcribed RNA; R<sup>2</sup>: linearity; E: efficiency.</p>
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<p>UpSet plot summarizing the number of CIRDC pathogens and SARS-CoV-2 detected in dogs using the newly developed panel. The number samples with single infection or co-infection are shown as vertical bars. The bottom left horizontal bar graph labeled Set Size shows the total number of positive samples for each specific CIRDC pathogens and SARS-CoV-2.</p>
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17 pages, 3095 KiB  
Article
In Vitro Characteristics of Canine Primary Tracheal Epithelial Cells Maintained at an Air–Liquid Interface Compared to In Vivo Morphology
by Sandra Runft, Iris Färber, Johannes Krüger, Kerstin Schöne, Annika Lehmbecker and Wolfgang Baumgärtner
Int. J. Mol. Sci. 2023, 24(5), 4987; https://doi.org/10.3390/ijms24054987 - 5 Mar 2023
Cited by 1 | Viewed by 2305
Abstract
Culturing respiratory epithelial cells at an air–liquid interface (ALI) represents an established method for studies on infection or toxicology by the generation of an in vivo-like respiratory tract epithelial cellular layer. Although primary respiratory cells from a variety of animals have been cultured, [...] Read more.
Culturing respiratory epithelial cells at an air–liquid interface (ALI) represents an established method for studies on infection or toxicology by the generation of an in vivo-like respiratory tract epithelial cellular layer. Although primary respiratory cells from a variety of animals have been cultured, an in-depth characterization of canine tracheal ALI cultures is lacking despite the fact that canines are a highly relevant animal species susceptible to various respiratory agents, including zoonotic pathogens such as severe acute respiratory coronavirus 2 (SARS-CoV-2). In this study, canine primary tracheal epithelial cells were cultured under ALI conditions for four weeks, and their development was characterized during the entire culture period. Light and electron microscopy were performed to evaluate cell morphology in correlation with the immunohistological expression profile. The formation of tight junctions was confirmed using transepithelial electrical resistance (TEER) measurements and immunofluorescence staining for the junctional protein ZO-1. After 21 days of culture at the ALI, a columnar epithelium containing basal, ciliated and goblet cells was seen, resembling native canine tracheal samples. However, cilia formation, goblet cell distribution and epithelial thickness differed significantly from the native tissue. Despite this limitation, tracheal ALI cultures could be used to investigate the pathomorphological interactions of canine respiratory diseases and zoonotic agents. Full article
(This article belongs to the Section Molecular Biology)
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<p>Histological evaluation of tracheal epithelial air–liquid interface (ALI) cultures during a four-week observation period. Primary tracheal epithelial cells were cultured for the indicated number of days (left labeling), then formalin-fixed and paraffin-embedded using standardized protocols. Sections were stained using (<b>a</b>) hematoxylin and eosin for evaluation of general cellular morphology, immunohistochemistry with (<b>b</b>) pan-cytokeratin (AE1/AE3) to visualize the epithelial cytoskeleton and (<b>c</b>) cytokeratin 14 to determine the expression of basal cells. Scale bar represents 20 µm.</p>
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<p>Statistical analysis of cell count and epithelial thickness of primary tracheal epithelial cells maintained at an air–liquid interface (ALI) at different time-points in comparison to native tissue: Quantitative analysis was performed using hematoxylin and eosin stained sections. (<b>a</b>) Epithelial cells were counted, and (<b>b</b>) epithelial thickness was measured in five fields at a 200× magnification per section evenly distributed across the strand. Two inserts were analyzed per time-point, and the data represent the mean ± standard deviation using tissues derived from different animals (see also <a href="#app1-ijms-24-04987" class="html-app">Table S1</a>). Significance was analyzed with the one-way-ANOVA and Tukey multiple comparison test. Increasing trends over time and in comparison to the native tissue for both (<b>a</b>) cell count and (<b>b</b>) epithelial thickness were demonstrated to be significant (* <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001) with “#” meaning significant increase compared to the time-point before.</p>
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<p>Assessment of tight junctions expressed in primary tracheal epithelial cells under air–liquid interface (ALI) conditions. (<b>a</b>) The formation of tight junctions during primary tracheal epithelial cell proliferation and differentiation was confirmed using transepithelial electrical resistance (TEER) measurements in ALI cultures derived from six individual dogs, ranging from day 6 to day 28 after initiation of ALI conditions. Each color of displayed lines represents values of an individual animal. (<b>b</b>) Tight junctions (arrowhead) along the epithelial cell borders were observed using transmission electron microscopy (TEM). Scale bar represents 500 nm. (<b>c</b>) ALI cultures were grown for the indicated number of days at ALI and fixed on the membranes. Immunofluorescence staining was performed with an anti-zonula occludens-1 (ZO-1) antibody labeling tight junctions in green and nuclear counterstain in blue. Representative images are shown of ALI cultures at days 0, 7, 14, 21 and 28. Scale bar represents 20 µM.</p>
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<p>Characterization of mucociliary differentiation of respiratory epithelial cells cultured under air–liquid interface (ALI) conditions using histochemistry and immunohistochemistry. (<b>a</b>) Immunohistochemical staining for α-tubulin was performed in order to quantify the number of ciliated cells present in the cultures. Fully-formed cilia were present at day 14, with an increasing number during the following time points. The highest number of ciliated cells was seen in cultures at day 28 post-initiation of ALI conditions. (<b>b</b>) Ciliated cells were quantified by counting α-tubulin positive cells in five fields of view per section at 200× magnification. (<b>c</b>) Alcian blue staining was applied to visualize mucus-producing goblet cells, with a maximal amount present at day 28 post-initiation of ALI conditions. Goblet cells seemed to be located more often in the middle and upper layer of the epithelium grown at ALI starting from day 14 until day 28. (<b>d</b>) Quantitative analysis of mucus-producing goblet cells was performed by counting the number of alcian blue positive stained cells in five fields of view at 200× magnification. For all of the above quantifications, two inserts with two sections each were analyzed per time point, and the data represent the mean ± standard deviation from tissue derived from different animals (see also <a href="#app1-ijms-24-04987" class="html-app">Table S1</a>). * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001 by one-way-ANOVA and Tukey multiple comparison test. Scale bar represents 20 µM.</p>
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<p>Scanning electron microscopic (SEM) assessment of cilia differentiation in tracheal epithelial cells under air–liquid interface (ALI) conditions over time. Representative pictures are shown of ALI cultures at days 0, 7, 14, 21, and 28. At day 0, undifferentiated tracheal epithelial cells were present with a flat, apical surface. Increasing numbers of ciliated cells were seen over the culture period starting from day 7 up to day 28. Cilia were arranged in individual bundles on the surface of epithelial cells, often along with numerous microvilli that were also frequently present. Additionally, SEM revealed the presence of mucus globules (arrowheads) starting from day 7. Pictures in the left column are taken at 1500× and in the right column at 4000× magnification. Scale bars represent 10 µM.</p>
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<p>Ultra-structural analysis of cilia formation in differentiated tracheal epithelial cells under air–liquid interface (ALI) conditions. (<b>a</b>) Representative image of an ALI culture at day 21 with fully developed cilia (arrowheads). Cilia show longitudinal and unidirectional growth varying in length and diameter with basal bodies. Scale bar represents 2500 nm. (<b>b</b>) Higher magnification (scale bar represents 250 nm) of cilia in cross sections with 9 + 2 axoneme arrangement (arrowheads) within cilia membrane.</p>
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11 pages, 540 KiB  
Communication
Low Prevalence of SARS-CoV-2 Antibodies in Canine and Feline Serum Samples Collected during the COVID-19 Pandemic in Hong Kong and Korea
by Yun Young Go, Maura Carrai, Yan Ru Choi, Christopher J. Brackman, Karina W. S. Tam, Pierra Y. T. Law, Fiona Woodhouse, Jane Gray, Ji Hun Kim, Joohyung Park, Chae Won Jeon, Hyomi Jang, Ioannis Magouras, Nicola Decaro, Samuel M. S. Cheng, Malik Peiris, Julia A. Beatty and Vanessa R. Barrs
Viruses 2023, 15(2), 582; https://doi.org/10.3390/v15020582 - 20 Feb 2023
Cited by 4 | Viewed by 2148
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people worldwide since its emergence in 2019. Knowing the potential capacity of the virus to adapt to other species, the serological surveillance of SARS-CoV-2 infection in susceptible animals is important. Hong Kong [...] Read more.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has affected millions of people worldwide since its emergence in 2019. Knowing the potential capacity of the virus to adapt to other species, the serological surveillance of SARS-CoV-2 infection in susceptible animals is important. Hong Kong and Seoul are two of Asia’s most densely populated urban cities, where companion animals often live in close contact with humans. Sera collected from 1040 cats and 855 dogs during the early phase of the pandemic in Hong Kong and Seoul were tested for SARS-CoV-2 antibodies using an ELISA that detects antibodies against the receptor binding domain of the viral spike protein. Positive sera were also tested for virus neutralizing antibodies using a surrogate virus neutralization (sVNT) and plaque reduction neutralization test (PRNT). Among feline sera, 4.51% and 2.54% of the samples from Korea and Hong Kong, respectively, tested ELISA positive. However, only 1.64% of the samples from Korea and 0.18% from Hong Kong tested positive by sVNT, while only 0.41% of samples from Korea tested positive by PRNT. Among canine samples, 4.94% and 6.46% from Korea and Hong Kong, respectively, tested positive by ELISA, while only 0.29% of sera from Korea were positive on sVNT and no canine sera tested positive by PRNT. These results confirm a low seroprevalence of SARS-CoV-2 exposure in companion animals in Korea and Hong Kong. The discordance between the RBD-ELISA and neutralization tests may indicate possible ELISA cross-reactivity with other coronaviruses, especially in canine sera. Full article
(This article belongs to the Special Issue Viral Infections in Companion Animals: Volume 2)
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<p>Comparison of serological results of feline samples tested by ELISA detecting antibodies to the receptor binding domain (RBD) of the SARS-CoV2 spike protein, with virus neutralization (sVNT) (see <a href="#app1-viruses-15-00582" class="html-app">Table S1</a>). The dotted lines show the positive cut-off levels. Cat serum samples (n = 37) are indicated in circles, whereas semi-closed circle indicates ELISA-negative and sVNT-positive (n = 1) and closed circles indicate positive samples by both assays (n = 8). Pearson correlation coefficient was calculated to determine the correlation between the reactivities of RBD ELISA vs. sVNT.</p>
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<p>Comparison of serological results of canine samples tested by RBD ELISA and sVNT (see <a href="#app1-viruses-15-00582" class="html-app">Table S2</a>). The dotted lines show the positive cut-off levels. Dog serum samples (n = 36) are indicated in circles, whereas closed circles indicate positive samples by both assays.</p>
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14 pages, 941 KiB  
Article
Tailored Multiplex Real-Time RT-PCR with Species-Specific Internal Positive Controls for Detecting SARS-CoV-2 in Canine and Feline Clinical Samples
by Gyu-Tae Jeon, Hye-Ryung Kim, Jong-Min Kim, Ji-Su Baek, Yeun-Kyung Shin, Oh-Kyu Kwon, Hae-Eun Kang, Ho-Seong Cho, Doo-Sung Cheon and Choi-Kyu Park
Animals 2023, 13(4), 602; https://doi.org/10.3390/ani13040602 - 9 Feb 2023
Cited by 2 | Viewed by 1973
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have been frequently reported in companion dogs and cats worldwide during the ongoing coronavirus disease. However, RT-qPCR methods developed for humans have been used for the diagnosis of SARS-CoV-2 infections in suspected companion dogs and [...] Read more.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections have been frequently reported in companion dogs and cats worldwide during the ongoing coronavirus disease. However, RT-qPCR methods developed for humans have been used for the diagnosis of SARS-CoV-2 infections in suspected companion dogs and cats owing to the lack of the companion animal-tailored methods. Therefore, we developed a multiplex RT-qPCR (mRT-qPCR) using newly designed primers and probes targeting RdRp and N genes of all currently circulating SARS-CoV-2 variants as well as the canine or feline 16S rRNA gene as an endogenous internal positive control (EIPC) for reliable diagnosis of SARS-CoV-2 infection from suspected dogs and cats. The developed mRT-qPCR assay specifically detected the target genes of SARS-CoV-2 but no other canine or feline pathogens. Furthermore, canine and feline EIPCs were stably amplified by mRT-qPCR in samples containing canine- or feline-origin cellular materials. This assay has high repeatability and reproducibility, with an optimal limit of detection (<10 RNA copies per reaction) and coefficients of variation (<1.0%). The detection rate of SARS-CoV-2 of the developed mRT-qPCR was 6.6% for canine and feline nasopharyngeal samples, which was consistent with that of a commercial mRT-qPCR kit for humans. Collectively, the newly developed mRT-qPCR with canine and feline EIPC can efficiently diagnose and evaluate the viral load in field specimens and will be a valuable tool for etiological diagnosis, epidemiological study, and controlling SARS-CoV-2 infections in canine and feline populations. Full article
(This article belongs to the Section Veterinary Clinical Studies)
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<p>The limit of detection (LOD) and standard curve of the monoplex real-time RT-qPCR and multiplex real-time mRT-qPCR. The LOD and standard curve of the <span class="html-italic">N</span> and <span class="html-italic">RdRp</span> genes were obtained by monoplex RT-qPCR for 10-fold serial dilutions of SARS-CoV-2 standard RNA (<b>A</b>–<b>D</b>). The LOD and standard curves of mRT-qPCR for 10-fold serial dilutions of SARS-CoV-2 standard RNA are shown (<b>E</b>,<b>F</b>). Lines 6–0, 10-fold serial dilutions of the SARS-CoV-2 standard RNA (10<sup>6</sup>–10<sup>0</sup> copies); NC, negative control. The coefficient of determination (<span class="html-italic">R<sup>2</sup></span>) and the equation of the regression curve (y) were calculated using the CFX Manager software (Bio-Rad).</p>
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13 pages, 3308 KiB  
Article
Canine Coronavirus Activates Aryl Hydrocarbon Receptor during In Vitro Infection
by Claudia Cerracchio, Francesco Serra, Maria Grazia Amoroso and Filomena Fiorito
Viruses 2022, 14(11), 2437; https://doi.org/10.3390/v14112437 - 3 Nov 2022
Cited by 6 | Viewed by 1755
Abstract
The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that interacts with substrates, including microbial metabolites. Recent advances reveal that AhR is involved in the host response to coronaviruses (CoVs) infection. Particularly, AhR antagonists decrease the expression of angiotensin-converting enzyme 2 (ACE2) [...] Read more.
The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that interacts with substrates, including microbial metabolites. Recent advances reveal that AhR is involved in the host response to coronaviruses (CoVs) infection. Particularly, AhR antagonists decrease the expression of angiotensin-converting enzyme 2 (ACE2) via AhR up-regulation, resulting in suppression of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in mammalian cells. Herein, we report that AhR is expressed in canine fibrosarcoma (A72) cells, where it is considerably activated by infection with genotype II of canine coronavirus (CCoV-II). The pharmacological inhibition of AhR, by CH223191, suppressed cell death signs and increased cell viability. Furthermore, the AhR antagonist induced a meaningful decline in virus yield, accompanied by the inhibition of the expression of viral nuclear protein (NP). Fascinatingly, during CCoV infection, a novel co-expression of NP and AhR expression was found. Taken together, our preliminary findings show that infection with CCoV activates AhR, and pharmacologic AhR inhibition reduces CCoV replication, identifying AhR as a possible candidate target for CCoV antiviral therapy. Full article
(This article belongs to the Special Issue Enteric and Respiratory Viruses in Animals 3.0)
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<p>Identifying CC<sub>50</sub> of CH223191 inhibitor at different doses and developing dose–response curve in A72 cells. (<b>a</b>) Dose–response curve of A72 cells treated with CH223191 at different concentrations (2, 5, 10 and 20 μM). After 24 h of treatment, cell viability was determined by TB staining while cells were attached to wells and counted under a light microscope. Significant differences between DMSO and CH223191-treated cells are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01. (<b>b</b>) At 24 h after treatment, cells were stained with Giemsa and observed under a light microscope. (<b>c</b>) A72 cells treated with DMSO or with CH223191 (2 μM). Scale bar 100 µm.</p>
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<p>AhR inhibitor CH223191 increases cell viability during CCoV infection. (<b>a</b>) Dose–response curve of A72 cells treated with CH223191 at different concentrations (2, 5, 10 and 20 μM). After 24 h of treatment, cell viability was determined by TB staining while cells were attached to wells and counted under a light microscope. Significant differences between CCoV+DMSO and CCoV+CH223191-treated cells are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05. (<b>b</b>) A72 cells infected with CCoV and treated or untreated with CH223191 at different concentrations (2, 5, 10 and 20 µM). At 24 h after treatment, cells were stained with Giemsa and observed under a light microscope. Scale bar 100 µm. (<b>c</b>) A72 cells infected with CCoV and treated or untreated with CH223191 (2 µM). At 24 h after treatment, cells were stained with Giemsa and observed under a light microscope. Scale bar 25 µm.</p>
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<p>AhR inhibitor CH223191 reduces morphological cell death signs during CCoV infection in A72 cells. Cells were infected with CCoV, in the presence or absence of CH223191. At 24 h p.i., cells stained by Giemsa were analyzed under a light microscope. Photomicrographs showing in unexposed infected groups, some cells with cell death features, such as an increase in intercellular spaces due to detachment from culture plate (arrow). In addition, morphological apoptotic marks, such as cell shrinkage (arrowhead), pyknosis and chromatin condensation (circle), were detected. In the presence of AhR inhibitor, all those cell death features were markedly diminished in CCoV-infected cells.</p>
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<p>A72 cells express AhR. (<b>a</b>) Canine fibrosarcoma cell line A72 expressed AhR. AhR inhibitor CH223191 noticeably decreased the expression of AhR. Scale bar 100 µm. (<b>b</b>) Bars represent the mean ratio generated from the integrated density (product of the area and mean intensity of fluorescence) of the AhR expression evaluated by ImageJ. Error bars represent standard deviation measurement. Significant differences between CCoV-infected cells and AhR-inhibitor-treated infected cells are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>CCoV infection activates the expression of AhR in A72 cells. A72 cells were infected with CCoV at MOI of 0.05. At 24 h p.i., immunofluorescence staining for AhR was performed. (<b>a</b>) In CCoV-infected cells a significant increase in AhR expression was found. Scale bar 100 µm. (<b>b</b>) Bars represent the mean ratio generated from the integrated density (product of the area and mean intensity of fluorescence) of the AhR expression during CCoV infection evaluated by ImageJ. Error bars represent standard deviation measurement. Significant differences between CCoV-infected cells and AhR-inhibitor-treated infected cells are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>AhR inhibitor inhibits both AhR and NP expression during CCoV infection in A72 cells. A72 cells were infected with CCoV at MOI of 5. At 24 h p.i., immunofluorescence staining for AhR and NP was performed. (<b>a</b>) In CCoV-infected cells a significant up-regulation of AhR and NP expression was detected. In some merged images of A72 cells, co-expression of NP and AhR expression was found (MERGE). Following infection, in the presence of AhR inhibitor CH223191, both AhR and NP expression was down-regulated. Scale bar 59 µm. (<b>b</b>) Bars represent the mean ratio generated from the integrated density (product of the area and mean intensity of fluorescence) of the NP expression during CCoV infection evaluated by ImageJ. Error bars represent standard deviation measurement. Significant differences between CCoV-infected cells and AhR-inhibitor-treated infected cells are indicated by probability p. ** <span class="html-italic">p</span> &lt; 0.01. (<b>c</b>) Bars represent the mean ratio generated from the integrated density (product of the area and mean intensity of fluorescence) of the AhR expression during CCoV infection evaluated by ImageJ. Error bars represent standard deviation measurement. Significant differences between CCoV-infected cells and AhR-inhibitor-treated infected cells are indicated by probability <span class="html-italic">p</span>. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>AhR inhibitor decreases virus yield during CCoV infection in A72 cells. Cells were infected with CCoV in the presence or absence of AhR inhibitor CH223191. At 24 h p.i., virus yield was evaluated by RT-qPCR by the mean of a standard curve created plotting Log TCID<sub>50</sub>/mL against the C<sub>t</sub> number. Significant differences between CCoV-infected cells and AhR-inhibitor-treated infected cells are indicated by probability <span class="html-italic">p</span>. * <span class="html-italic">p</span> &lt; 0.05.</p>
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6 pages, 589 KiB  
Communication
SARS-CoV-2 Infection in Companion Animals: Prospective Serological Survey and Risk Factor Analysis in France
by Pierre Bessière, Timothée Vergne, Matéo Battini, Jessie Brun, Julien Averso, Etienne Joly, Jean-Luc Guérin and Marie-Christine Cadiergues
Viruses 2022, 14(6), 1178; https://doi.org/10.3390/v14061178 - 28 May 2022
Cited by 19 | Viewed by 3039
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for COVID-19 in people, has been detected in companion animals on rare occasions. A limited number of large-scale studies have investigated the exposure of companion animals to SARS-CoV-2. The objective of this prospective study was to [...] Read more.
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for COVID-19 in people, has been detected in companion animals on rare occasions. A limited number of large-scale studies have investigated the exposure of companion animals to SARS-CoV-2. The objective of this prospective study was to estimate seroprevalence in privately owned dogs and cats presented in veterinary clinics in different French regions and to test the hypothesis that the occurrence of an episode of COVID-19 in the household and close contact with the owner would increase the chances of the animals being seropositive. One hundred and sixty-five dogs and 143 cats were blood-sampled between March 2020 and December 2021. Neutralizing SARS-CoV-2 antibodies were detected in 8.4% of cats (12/143) and 5.4% of dogs (9/165). Seven animals (three dogs and four cats) were seropositive in the absence of an episode of COVID-19 in the household. Despite not being statistically significant (chi-square test, p-value = 0.55), our data may suggest that the occurrence of an episode of COVID-19 in the household could increase the risk of animal seropositivity (odds ratio = 1.38; 95% confidence interval = 0.55–3.77). This survey indirectly shows that SARS-CoV-2 circulates in canine and feline populations, but its circulation appears to be too low for pets to act as a significant viral reservoir. Full article
(This article belongs to the Section SARS-CoV-2 and COVID-19)
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<p>Spatial distribution of the feline (<b>A</b>) and canine (<b>B</b>) sample locations. Blue dots indicate samples that were negative for anti-SARS-CoV-2 antibodies. Red dots indicate samples that were positive.</p>
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15 pages, 4976 KiB  
Article
A Structural Comparison of SARS-CoV-2 Main Protease and Animal Coronaviral Main Protease Reveals Species-Specific Ligand Binding and Dimerization Mechanism
by Chien-Yi Ho, Jia-Xin Yu, Yu-Chuan Wang, Yu-Chuan Lin, Yi-Fang Chiu, Jing-Yan Gao, Shu-Jung Lai, Ming-Jen Chen, Wei-Chien Huang, Ni Tien and Yeh Chen
Int. J. Mol. Sci. 2022, 23(10), 5669; https://doi.org/10.3390/ijms23105669 - 18 May 2022
Cited by 6 | Viewed by 2206
Abstract
Animal coronaviruses (CoVs) have been identified to be the origin of Severe Acute Respiratory Syndrome (SARS)-CoV, Middle East respiratory syndrome (MERS)-CoV, and probably SARS-CoV-2 that cause severe to fatal diseases in humans. Variations of zoonotic coronaviruses pose potential threats to global human beings. [...] Read more.
Animal coronaviruses (CoVs) have been identified to be the origin of Severe Acute Respiratory Syndrome (SARS)-CoV, Middle East respiratory syndrome (MERS)-CoV, and probably SARS-CoV-2 that cause severe to fatal diseases in humans. Variations of zoonotic coronaviruses pose potential threats to global human beings. To overcome this problem, we focused on the main protease (Mpro), which is an evolutionary conserved viral protein among different coronaviruses. The broad-spectrum anti-coronaviral drug, GC376, was repurposed to target canine coronavirus (CCoV), which causes gastrointestinal infections in dogs. We found that GC376 can efficiently block the protease activity of CCoV Mpro and can thermodynamically stabilize its folding. The structure of CCoV Mpro in complex with GC376 was subsequently determined at 2.75 Å. GC376 reacts with the catalytic residue C144 of CCoV Mpro and forms an (R)- or (S)-configuration of hemithioacetal. A structural comparison of CCoV Mpro and other animal CoV Mpros with SARS-CoV-2 Mpro revealed three important structural determinants in a substrate-binding pocket that dictate entry and release of substrates. As compared with the conserved A141 of the S1 site and P188 of the S4 site in animal coronaviral Mpros, SARS-CoV-2 Mpro contains N142 and Q189 at equivalent positions which are considered to be more catalytically compatible. Furthermore, the conserved loop with residues 46–49 in animal coronaviral Mpros has been replaced by a stable α-helix in SARS-CoV-2 Mpro. In addition, the species-specific dimerization interface also influences the catalytic efficiency of CoV Mpros. Conclusively, the structural information of this study provides mechanistic insights into the ligand binding and dimerization of CoV Mpros among different species. Full article
(This article belongs to the Special Issue Coronavirus Disease (COVID-19): Pathophysiology 2.0)
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<p>Functional characterization of the effects of GC376 on CCoV M<sup>pro</sup>: (<b>A</b>) The chemical structure of GC376 (left) and its aldehyde form (right); (<b>B</b>) in vitro enzyme activity assay of CCoV M<sup>pro</sup> in the absence or presence of GC376; (<b>C</b>) dose-dependent stabilization effects of GC376 (0, 7.5, 15, and 30 μM) on the thermal stability of CCoV M<sup>pro</sup>.</p>
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<p>Overall structure of the CCoV M<sup>pro</sup> in complex with GC376: (<b>A</b>) Dimeric assembly of CCoV M<sup>pro</sup> (red and purple), the catalytic dyad (H41/C144) are shown as green spheres, the N-finger of one protomer extends into the substrate-binding pocket of the other protomer; the N- and C-terminus of each protomer are indicated; (<b>B</b>) domain organization of CCoV M<sup>pro</sup>: N-finger (residues 1–10 (blue)), domain I (residues 11–100 (marine)), domain II (residues 101–198 (green)), and domain III (residues 199–299 (red)), GC376 is shown as yellow sticks; (<b>C</b>) superimposition of the Cα backbone of the eight different protomers of CCoV M<sup>pro</sup> in the same asymmetric unit; (<b>D</b>) comparison of the GC376 covalently linked to the C144 of eight different protomers of CCoV M<sup>pro</sup> in the same asymmetric unit.</p>
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<p>Comparison of the interactions between GC376 and different CoV M<sup>pro</sup>s: (<b>A</b>) Molecular mechanism underlying formation of an (R)- or (S)-configuration of GC376 by CoV M<sup>pro</sup>; (<b>B</b>–<b>E</b>) enlarged views of the substrate-binding pockets from (<b>B</b>) SARS-CoV-2 M<sup>pro</sup>_GC376 (PDB: 7CB7), (<b>C</b>) TGEV M<sup>pro</sup>_GC376 (PDB: 4F49), (<b>D</b>) protomer C of CCoV M<sup>pro</sup>_GC376, and (<b>E</b>) protomer A of CCoV M<sup>pro</sup>_GC376. The hydroxyl groups of the hemithioacetal from covalently linked GC376 are indicated by red star (*). H-bonds are shown as black dashed lines. A water molecule is shown as a red sphere.</p>
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<p>Structural comparison between animal CoV M<sup>pro</sup>s and SARS-CoV-2 M<sup>pro</sup>: (<b>A</b>) Overall structural comparison of SARS-CoV-2 M<sup>pro</sup> (PDB: 7CB7), TGEV M<sup>pro</sup> (PDB: 4F49), PEDV M<sup>pro</sup> (PDB: 6L70), CCoV M<sup>pro</sup>, and FIPV M<sup>pro</sup> (PDB: 5EU8). Three structural differences have been highlighted; (<b>B</b>) an enlarged view of the first (loop/α-helix) and second (P188/Q189) structural differences highlighted in (<b>A</b>); (<b>C</b>) an enlarged view of the third (A141/N142) structural differences highlighted in (<b>A</b>); (<b>D</b>) the three structural features of CoV M<sup>pro</sup>s that differentially contribute to recognition of GC376.</p>
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<p>Comparison of the size of entrance of substrate-binding pocket among different CoV M<sup>pro</sup>s. Surface presentation of the substrate-binding pocket of: (<b>A</b>) SARS-CoV-2 M<sup>pro</sup>_GC376 (PDB: 7CB7, yellow); (<b>B</b>) PEDV M<sup>pro</sup> (PDB: 6L70, magenta); (<b>C</b>) TGEV M<sup>pro</sup>_GC376 (PDB: 4F49, wheat); (<b>D</b>) CCoV M<sup>pro</sup>_GC376 (cyan). The three structural features demonstrated in <a href="#ijms-23-05669-f004" class="html-fig">Figure 4</a> within the substrate-binding pocket are shown in spheres as indicated. The shortest distances between sidechains of Q189/P188 and N142/(N/A)141 from SARS-CoV-2 M<sup>pro</sup>/animal CoV M<sup>pro</sup>s are measured and indicated by double-headed arrows. GC376s are shown in sticks.</p>
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<p>Comparison of the dimerization interfaces between (<b>A</b>) CCoV M<sup>pro</sup> and (<b>B</b>) SARS-CoV-2 M<sup>pro</sup>. The three critical residues forming hydrophobic core at the dimerization interface of SARS-CoV-2 M<sup>pro</sup> (S284-A285-L286) are shown in red spheres as compared with those of CCoV M<sup>pro</sup> (Y280-G281-S282). The residues that participate in forming salt bridges (R4-E290 in SARS-CoV-2 M<sup>pro</sup>) and hydrogen bonding (R4-G126 in CCoV M<sup>pro</sup>) are shown as green sticks. The distances between the Cα atom of G281s or A285s are indicated.</p>
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10 pages, 1607 KiB  
Brief Report
Recent Zoonotic Spillover and Tropism Shift of a Canine Coronavirus Is Associated with Relaxed Selection and Putative Loss of Function in NTD Subdomain of Spike Protein
by Jordan D. Zehr, Sergei L. Kosakovsky Pond, Darren P. Martin, Kristina Ceres, Gary R. Whittaker, Jean K. Millet, Laura B. Goodman and Michael J. Stanhope
Viruses 2022, 14(5), 853; https://doi.org/10.3390/v14050853 - 21 Apr 2022
Cited by 10 | Viewed by 6118
Abstract
A canine coronavirus (CCoV) has now been reported from two independent human samples from Malaysia (respiratory, collected in 2017–2018; CCoV-HuPn-2018) and Haiti (urine, collected in 2017); these two viruses were nearly genetically identical. In an effort to identify any novel adaptations associated with [...] Read more.
A canine coronavirus (CCoV) has now been reported from two independent human samples from Malaysia (respiratory, collected in 2017–2018; CCoV-HuPn-2018) and Haiti (urine, collected in 2017); these two viruses were nearly genetically identical. In an effort to identify any novel adaptations associated with this apparent shift in tropism we carried out detailed evolutionary analyses of the spike gene of this virus in the context of related Alphacoronavirus 1 species. The spike 0-domain retains homology to CCoV2b (enteric infections) and Transmissible Gastroenteritis Virus (TGEV; enteric and respiratory). This domain is subject to relaxed selection pressure and an increased rate of molecular evolution. It contains unique amino acid substitutions, including within a region important for sialic acid binding and pathogenesis in TGEV. Overall, the spike gene is extensively recombinant, with a feline coronavirus type II strain serving a prominent role in the recombinant history of the virus. Molecular divergence time for a segment of the gene where temporal signal could be determined, was estimated at around 60 years ago. We hypothesize that the virus had an enteric origin, but that it may be losing that particular tropism, possibly because of mutations in the sialic acid binding region of the spike 0-domain. Full article
(This article belongs to the Topic Acute Respiratory Viruses Molecular Epidemiology)
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<p>Positive selection, unique amino acid changes and GARD partitions mapped to a CCoV-HuPn-2018 spike domain map [<a href="#B3-viruses-14-00853" class="html-bibr">3</a>]. S1 and S2 of the protein are highlighted and further subdivided into functional subunits and subdomains. Blue dots represent sites under positive selection in CCoV-HuPn-2018 as identified by MEME and/or FEL; red dots represent sites that are unique in CCoV-HuPn-2018 but are not under positive selection; yellow dots are nonsynonymous changes between CCoV-HuPn-2018 and HuCCoV_Z19Haiti. Text labels accompany each subdomain/functional unit: SP, signal peptide; 0 domain; A domain; B, includes RBD-Receptor-Binding Domain; C; D; UH, upstream helix; FP, fusion peptide; HR1, heptad-repeat 1; CH, central helix; BH, β-hairpin; CD: connector domain; HR2, heptad-repeat 2; TM, transmembrane domain; CT, cytoplasmic tail. The horizontal magenta bar represents the experimentally evaluated region for sialic acid binding in TGEV [<a href="#B11-viruses-14-00853" class="html-bibr">11</a>,<a href="#B37-viruses-14-00853" class="html-bibr">37</a>]. The solid vertical black lines represent the breakpoints of the GARD identified non-recombinant fragments and are labeled numerically. The vertical dashed line represents the 3′ end of alignment set I and the onset of FCoV2 sequence homology (alignment set II).</p>
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<p>RDP5 [<a href="#B17-viruses-14-00853" class="html-bibr">17</a>] results with supported recombination events (event boundaries outlined) that implicate CCoV-HuPn-2018, positioned along the same spike domain map as <a href="#viruses-14-00853-f001" class="html-fig">Figure 1</a> [<a href="#B3-viruses-14-00853" class="html-bibr">3</a>].</p>
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<p>Amino acid sequence alignment of the downstream region of 0-domain with magenta shaded bar above the alignment highlighting the region experimentally evaluated as relevant to sialic acid binding in TGEV [<a href="#B11-viruses-14-00853" class="html-bibr">11</a>,<a href="#B37-viruses-14-00853" class="html-bibr">37</a>]; numbers correspond to unaligned positions in the CCoV-HuPn-2018 spike protein.</p>
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9 pages, 11859 KiB  
Article
Near-Complete Genome of SARS-CoV-2 Delta (AY.3) Variant Identified in a Dog in Kansas, USA
by Tyler Doerksen, Andrea Lu, Lance Noll, Kelli Almes, Jianfa Bai, David Upchurch and Rachel Palinski
Viruses 2021, 13(10), 2104; https://doi.org/10.3390/v13102104 - 19 Oct 2021
Cited by 15 | Viewed by 4697
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) descriptions of infection and transmission have been increasing in companion animals in the past year. Although canine susceptibility is generally considered low, their role in the COVID-19 disease cycle remains unknown. In this study, we detected [...] Read more.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) descriptions of infection and transmission have been increasing in companion animals in the past year. Although canine susceptibility is generally considered low, their role in the COVID-19 disease cycle remains unknown. In this study, we detected and sequenced a delta variant (AY.3) from a 12-year-old Collie living with owners that previously tested positive for SARS-CoV-2. It is unclear if the dogs’ symptoms were related to SARS-CoV-2 infection or underlying conditions. The whole genome sequence obtained from the dog sample had several unique consensus level changes not previously identified in a SARS-CoV-2 genome that may play a role in the rapid adaptation from humans to dogs. Within the spike coding region, 5/7 of the subconsensus variants identified in the dog sequence were also identified in the closest in-house human reference case. Taken together, the whole genome sequence, and phylogenetic and subconsensus variant analyses indicate the virus infecting the animal originated from a local outbreak cluster. The results of these analyses emphasize the importance of rapid detection and characterization of SARS-CoV-2 variants of concern in companion animals. Full article
(This article belongs to the Section Animal Viruses)
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<p>Subconsensus variants identified in hCoV-19/dog/USA/KS-8074/2021 (GISAID # EPI_ISL_4253995) reads using the following conditions: quality score of 30, 20x coverage, forward/reverse ratio of &gt;0.1, a frequency of 5%, and a significance of 5%. The inner scatter plot displays the frequencies of each variant while the two middle the two concentric circles directly surrounding the scatter plot indicate the subconsensus variant sites and metadata taken from CoV-GLUE (<a href="http://cov-glue.cvr.gla.ac.uk/" target="_blank">http://cov-glue.cvr.gla.ac.uk/</a>; accessed 28 August 2021).</p>
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<p>Phylogeny of hCoV-19/dog/USA/KS-8074/2021. The phylogenetic tree was constructed using the Nextclade pipeline, run on a local server using a GTR model. The tree was modified in iTOL. SARS-CoV-2 lineages are illustrated using the following color scheme: kappa, blue; eta, maroon; delta, red; lambda, green; gamma, orange; beta, turquoise; epsilon, purple. The SARS-CoV-2 genomes obtained from people in Manhattan, KS, are indicated in light red. The SARS-CoV-2 dog genome is indicated in yellow in the main figure and with a yellow arrow in the inset. Variants of concern (VOCs) alpha, beta, gamma, epsilon, and delta lineages.</p>
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27 pages, 11448 KiB  
Review
Evolutionary Dynamics and Epidemiology of Endemic and Emerging Coronaviruses in Humans, Domestic Animals, and Wildlife
by Ariful Islam, Jinnat Ferdous, Shariful Islam, Md. Abu Sayeed, Shusmita Dutta Choudhury, Otun Saha, Mohammad Mahmudul Hassan and Tahmina Shirin
Viruses 2021, 13(10), 1908; https://doi.org/10.3390/v13101908 - 23 Sep 2021
Cited by 31 | Viewed by 6787
Abstract
Diverse coronavirus (CoV) strains can infect both humans and animals and produce various diseases. CoVs have caused three epidemics and pandemics in the last two decades, and caused a severe impact on public health and the global economy. Therefore, it is of utmost [...] Read more.
Diverse coronavirus (CoV) strains can infect both humans and animals and produce various diseases. CoVs have caused three epidemics and pandemics in the last two decades, and caused a severe impact on public health and the global economy. Therefore, it is of utmost importance to understand the emergence and evolution of endemic and emerging CoV diversity in humans and animals. For diverse bird species, the Infectious Bronchitis Virus is a significant one, whereas feline enteric and canine coronavirus, recombined to produce feline infectious peritonitis virus, infects wild cats. Bovine and canine CoVs have ancestral relationships, while porcine CoVs, especially SADS-CoV, can cross species barriers. Bats are considered as the natural host of diverse strains of alpha and beta coronaviruses. Though MERS-CoV is significant for both camels and humans, humans are nonetheless affected more severely. MERS-CoV cases have been reported mainly in the Arabic peninsula since 2012. To date, seven CoV strains have infected humans, all descended from animals. The severe acute respiratory syndrome coronaviruses (SARS-CoV and SARS-CoV-2) are presumed to be originated in Rhinolopoid bats that severely infect humans with spillover to multiple domestic and wild animals. Emerging alpha and delta variants of SARS-CoV-2 were detected in pets and wild animals. Still, the intermediate hosts and all susceptible animal species remain unknown. SARS-CoV-2 might not be the last CoV to cross the species barrier. Hence, we recommend developing a universal CoV vaccine for humans so that any future outbreak can be prevented effectively. Furthermore, a One Health approach coronavirus surveillance should be implemented at human-animal interfaces to detect novel coronaviruses before emerging to humans and to prevent future epidemics and pandemics. Full article
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<p>The emergence of animal coronaviruses in the world. The circles (inner to outer) indicate- the year of emergence, virus’s name, host species, the genus of coronavirus, and primary clinical signs. IBV: Infectious Bronchitis Virus; TGEV: porcine transmissible gastroenteritis coronavirus; FECV: Feline Enteric Coronavirus; CCoV: Canine Coronavirus; BCoV: Bovine Coronavirus; FIPV: Feline Infectious Peritonitis Virus; PEDV: Porcine Epidemic Diarrhea Virus; PRCV: Porcine Respiratory Coronavirus; PHEV: Porcine Hemagglutinating Encephalomyelitis Virus; CRCoV: Canine Respiratory Coronavirus; PDCoV: Porcine Delta Coronavirus; SADS: Swine Acute Diarrhea Syndrome Virus; and SARS: Severe Acute Respiratory Syndrome Coronavirus.</p>
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<p>Phylogenetic analysis of CoV sequences from both animals and humans; green, red, blue, and pink color denotes alpha, beta, gamma, and delta coronaviruses, respectively. We constructed the phylogenetic tree representing the evolutionary relationship between all types of reported CoV in domestic animals, wildlife and human. This coronavirus family tree covering all four CoV genera; Alpha, beta, gamma and delta CoV. Both alpha and beta CoV genera segregated in various coronavirus strain like SARS-CoV, SARS-CoV-2, NL63, MERS-CoV, HKU1-CoV, OC43 etc. From this point of view, we have taken the various representative animals and human originated CoV sequences based on time and space for understanding the evolutionary relationship among all of the genera.</p>
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<p>Phylogeny of swine coronaviruses detected to date in the world; the red blocks denote sequences from pigs, whereas green blocks denote sequences from bats. This phylogenetic tree representing the evolutionary relationship between representatives Alpha CoV originated from Swine host. The main purpose was to explain the evolutionally origin of SADS-CoV from Pig and Rhinolopoid bats. From this point of view, we have taken various representative- Bat and Pig originated SADS-CoV sequences on the basis of time and space. Besides, we also know that pig is infecting multiple types of alpha and beta coronaviruses like PEDV, PRCV, TGEV, PHEV and PDCoV. So, we selected representative sequences of swine infecting different types of coronaviruses based on different time and space to understand the phylogenetic relatedness of diverse swine coronaviruses.</p>
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<p>Phylogenetic analysis of MERS CoV sequences from human and camel; the red blocks denote human sequences, whereas blue blocks denote camel sequences; the green blocks denote bat virus sequences; and the magenta block refers to the reference sequence from humans of Saudi Arabia. This phylogenetic tree representing the evolutionary relationship of MERS-CoV sequences in human, camel and bat beta coronaviruses. Previous studies reported the evidence of camel to camel; camel to human and human to human spreading nature of the MERS-CoV. Therefore, we selected Gene bank deposited bat coronavirus sequences and MERS-CoV sequences from human and camels to understand the phylogenetic relatedness of MERS-CoV in human, camels and bats. From this point of view, we have picturized the bat- dromedary camel-human interfacial evolutionary relationship of MERS-CoV based on time and space.</p>
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<p>Timeline of the emergence of human CoVs, their reservoirs, and intermediate hosts; the pink shaded area depicts emerging coronaviruses, whereas the green shaded area depicts the endemic coronaviruses. The arrows show the transmission route of the viruses from animal to human through intermediate hosts.</p>
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<p>Geospatial distribution of SARS-CoV and MERS-CoV globally; A. SARS-CoV and B. MERS-CoV case distribution globally; the marked red areas have the highest number of cases.</p>
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<p>Phylogenetic analysis of SARS-CoVs from humans and SARS-like CoVs from animals; the red blocks indicate human strains; the blue blocks indicate bat strains, and the green blocks indicate sequences from civet and ferret. The pink block denotes the reference SARS sequence (NC004718) from the human. This phylogenetic tree representing the evolutionary relationship of representatives both SARS-CoV and SARS-CoV like viruses from human and animals like civet, and horse shoe bats. On the basis of time and space we selected the representative sequence of SARS-CoV and SARS-CoV like viruses in our phylogenetic analysis. The main purpose was to explain the evolutionally origin SARS-CoV and SARS-CoV like virus from human, civet and or bat.</p>
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<p>Distribution of SARS-CoV-2 cases around the world. The white areas have no cases, whereas the red marked regions have the highest number of cases.</p>
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22 pages, 2962 KiB  
Review
Coronavirus Infections in Companion Animals: Virology, Epidemiology, Clinical and Pathologic Features
by Christine Haake, Sarah Cook, Nicola Pusterla and Brian Murphy
Viruses 2020, 12(9), 1023; https://doi.org/10.3390/v12091023 - 13 Sep 2020
Cited by 73 | Viewed by 13622
Abstract
Coronaviruses are enveloped RNA viruses capable of causing respiratory, enteric, or systemic diseases in a variety of mammalian hosts that vary in clinical severity from subclinical to fatal. The host range and tissue tropism are largely determined by the coronaviral spike protein, which [...] Read more.
Coronaviruses are enveloped RNA viruses capable of causing respiratory, enteric, or systemic diseases in a variety of mammalian hosts that vary in clinical severity from subclinical to fatal. The host range and tissue tropism are largely determined by the coronaviral spike protein, which initiates cellular infection by promoting fusion of the viral and host cell membranes. Companion animal coronaviruses responsible for causing enteric infection include feline enteric coronavirus, ferret enteric coronavirus, canine enteric coronavirus, equine coronavirus, and alpaca enteric coronavirus, while canine respiratory coronavirus and alpaca respiratory coronavirus result in respiratory infection. Ferret systemic coronavirus and feline infectious peritonitis virus, a mutated feline enteric coronavirus, can lead to lethal immuno-inflammatory systemic disease. Recent human viral pandemics, including severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and most recently, COVID-19, all thought to originate from bat coronaviruses, demonstrate the zoonotic potential of coronaviruses and their potential to have devastating impacts. A better understanding of the coronaviruses of companion animals, their capacity for cross-species transmission, and the sharing of genetic information may facilitate improved prevention and control strategies for future emerging zoonotic coronaviruses. This article reviews the clinical, epidemiologic, virologic, and pathologic characteristics of nine important coronaviruses of companion animals. Full article
(This article belongs to the Special Issue Viral Infections in Companion Animals)
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<p>Phylogenetic relationships of coronaviruses of companion animals. The 3′ portions of the coronaviral genomes encoding the spike and other non-structural proteins (~9 kb) were compared and plotted as a “guide tree” using MacVector software (ClustalW Multiple Sequence Alignment). Betacoronavirus sequences are highlighted in yellow, while alphacoronavirus sequences are highlighted in blue; the zoonotic SARS CoV-2 coronavirus is surrounded by a red box. GenBank submission numbers are indicated for each sequence.</p>
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<p>Coronavirus structural proteins.</p>
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<p>(<b>A</b>) Gross image of “wet” or effusive feline infectious peritonitis (FIP), thoracic and abdominal cavities, cat. Abundant semi-translucent “straw-colored”, proteinaceous peritoneal effusion with fibrinous and granulomatous serositis and multifocal granulomatous lesions in the liver. Gross image courtesy of Chrissy Eckstrand. (<b>B</b>) FIP, urinary bladder serosal surface, cat, hematoxylin and eosin (HE). Severe, necrotizing, pyogranulomatous and lymphoplasmacytic serositis and vasculitis. (<b>C</b>) FIP, urinary bladder serosal surface, cat, FCoV immunohistochemistry. Same lesion tissue as 3b with frequent, positive immunoreactivity for FCoV antigen (brown pigment).</p>
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<p>Gross lesions associated with ferret systemic coronavirus (FRSCV). (<b>A</b>) Ferret, coronavirus-associated granulomatous mesenteritis. Numerous, multifocal to coalescing, pale tan, firm nodular masses (granulomas) distributed throughout the mesentery, often corresponding to vasculature. (<b>B</b>) Ferret, coronavirus-associated serositis and splenitis. Numerous, multifocal to coalescing, pale tan nodules (granulomas) expanding the serosa with variable parenchymal involvement. (<b>C</b>) Ferret, coronavirus-associated hepatitis. Multifocal, pale tan, expansile nodular masses throughout the liver. (<b>D</b>) Ferret, coronavirus-associated peritonitis. Multifocal to coalescing, pale tan, nodular masses (granulomas) throughout the peritoneum. All images courtesy of Jordi Jimenez.</p>
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<p>(<b>A</b>) Equine coronavirus-associated colitis, colon, horse. Moderate, necrohemorrhagic colitis. Image courtesy of Silvia Siso. (<b>B</b>) Equine coronavirus-associated enteritis, jejunum, horse. Mixed inflammatory enteritis with crypt ectasia and necrosis (crypt “abscesses”) and microvascular thrombi. (<b>C</b>) Equine coronavirus-associated enteritis, jejunum, horse. Diffuse immunoreactivity at the tips of necrotic villi using bovine coronavirus antiserum (immunohistochemistry). <a href="#viruses-12-01023-f005" class="html-fig">Figure 5</a>B,C courtesy of Federico Giannitti.</p>
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23 pages, 28788 KiB  
Article
Canine Respiratory Coronavirus, Bovine Coronavirus, and Human Coronavirus OC43: Receptors and Attachment Factors
by Artur Szczepanski, Katarzyna Owczarek, Monika Bzowska, Katarzyna Gula, Inga Drebot, Marek Ochman, Beata Maksym, Zenon Rajfur, Judy A Mitchell and Krzysztof Pyrc
Viruses 2019, 11(4), 328; https://doi.org/10.3390/v11040328 - 5 Apr 2019
Cited by 64 | Viewed by 10691
Abstract
Despite high similarity of canine respiratory coronavirus (CRCoV), bovine coronavirus, (BCoV) and human coronavirus OC43 (HCoV-OC43), these viruses differ in species specificity. For years it was believed that they share receptor specificity, utilizing sialic acids for cell surface attachment, internalization, and entry. Interestingly, [...] Read more.
Despite high similarity of canine respiratory coronavirus (CRCoV), bovine coronavirus, (BCoV) and human coronavirus OC43 (HCoV-OC43), these viruses differ in species specificity. For years it was believed that they share receptor specificity, utilizing sialic acids for cell surface attachment, internalization, and entry. Interestingly, careful literature analysis shows that viruses indeed bind to the cell surface via sialic acids, but there is no solid data that these moieties mediate virus entry. In our study, using a number of techniques, we showed that all three viruses are indeed able to bind to sialic acids to a different extent, but these molecules render the cells permissive only for the clinical strain of HCoV-OC43, while for others they serve only as attachment receptors. CRCoV and BCoV appear to employ human leukocyte antigen class I (HLA-1) as the entry receptor. Furthermore, we identified heparan sulfate as an alternative attachment factor, but this may be related to the cell culture adaptation, as in ex vivo conditions, it does not seem to play a significant role. Summarizing, we delineated early events during CRCoV, BCoV, and HCoV-OC43 entry and systematically studied the attachment and entry receptor utilized by these viruses. Full article
(This article belongs to the Section Animal Viruses)
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Figure 1
<p>Phylogenetic tree of <span class="html-italic">Orthocoronavirinae</span>. The evolutionary history was inferred based on the sequences of the complete spike gene by using the Maximum Likelihood method based on General Time Reversible model [<a href="#B7-viruses-11-00328" class="html-bibr">7</a>]. The tree with the highest log likelihood-33860.47) is shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. Discrete Gamma distribution was used to model evolutionary rate differences among sites (5 categories (+G, parameter = 3.0783)). The rate variation model allowed for some sites to be evolutionarily invariable ([+I], 5.04% sites). The tree is drawn to scale, with branch lengths measured in the number of substitutions per site. The analysis involved 11 nucleotide sequences. All positions containing gaps and missing data were eliminated. There was a total of 3117 positions in the final dataset. Evolutionary analyses were conducted in MEGA7 [<a href="#B8-viruses-11-00328" class="html-bibr">8</a>]. <span class="html-italic">Alphacoronavirus</span>: Human coronavirus 229E (HCoV-229E; NC_002645); <span class="html-italic">Deltacoronavirus</span>: Wigeon coronavirus HKU20 (NC_016995); <span class="html-italic">Gammacoronavirus</span>: Beluga Whale coronavirus SW1 (NC_010646); BCoV: Bovine coronavirus (NC_003045); CRCoV: Canine respiratory coronavirus (JX860640); HCoV-OC43: Human coronavirus OC43 (NC_006213); HCoV-HKU1: Human coronavirus HKU1 (NC_006577); <span class="html-italic">Hibecovirus</span>: Bat Hp-betacoronavirus/Zhejiang2013 (NC_025217); <span class="html-italic">Merbecovirus</span>: Middle East respiratory syndrome coronavirus (NC_019843); <span class="html-italic">Nobecovirus</span>: Bat coronavirus HKU9 (NC_009021); <span class="html-italic">Sarbecovirus</span>: SARS coronavirus (NC_004718).</p>
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<p>HCoV-OC43 VR-1558, BCoV and CRCoV agglutinate erythrocytes. Representative picture of hemagglutination assay results is shown. Mouse erythrocyte suspension was mixed with viral stocks and incubated at room temperature for 1 h. Influenza A H3N2 reported to hemagglutinate erythrocytes [<a href="#B36-viruses-11-00328" class="html-bibr">36</a>] and HCoV-NL63 which does not bind to sialic acids (SAs) [<a href="#B33-viruses-11-00328" class="html-bibr">33</a>] were used as control samples.</p>
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<p>Removal of SAs from the surface of the cell limits attachment of HCoV-OC43 VR-1558, BCoV, and CRCoV to different extent. Cells pretreated with type II neuraminidase (NA, 200 mU/mL) were overlaid with HCoV-OC43, BCoV, and CRCoV stocks, incubated for 2 h at 4 °C, fixed, and immunostained. Viral capsids are presented in green, while blue denotes DNA. Scale bar 10 µm. Data were collected from a minimum of 12 fields of view, from at least three different samples. (<b>A</b>) virus inoculated, control cells; (<b>B</b>) virus inoculated, NA treated cells; (<b>C</b>) mock inoculated, non-treated cells; (<b>D</b>) FACS analysis of viral attachment in the presence of NA. Graph shows mean fluorescence normalized to control. The data is presented as mean ± SD from at least three experiments in triplicate. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>SAs removal does not affect HCoV-OC43 VR-1558, BCoV, or CRCoV replication. Cells pretreated with type II neuraminidase (NA, 200 mU/mL) were overlaid with HCoV-OC43 VR-1558, BCoV and CRCoV stocks (at TCID<sub>50</sub> of 400 per milliliter, which approximately corresponds to M.O.I. = 0.0007) and incubated for 2 h at optimal temperature (see <span class="html-italic">Viral stocks</span>). Subsequently unbound virions were washed off and the cells were further incubated at optimal temperature for five days. (<b>A</b>) virus yield assessed by RT-qPCR. (<b>B</b>) NA effect on cell viability, as determined by an XTT assay. (<b>C</b>) The proportion of infected cells in the whole population normalized to control (flow cytometry). All data is presented as mean ± SD from at least three experiments in triplicate. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Soluble SAs limits attachment of HCoV-OC43 VR-1558, BCoV, and CRCoV but does not affect their replication. (<b>A</b>) Cells were overlaid with HCoV-OC43 VR-1558, BCoV, and CRCoV stocks preincubated with <span class="html-italic">N</span>-acetylneuraminic acid (Neu5Ac), incubated for 2 h at 4 °C, fixed, and immunostained. Graph shows results of flow cytometry analysis of viral attachment; data are presented as mean fluorescence normalized to control. (<b>B</b>) Cells overlaid with viral stocks (at TCID<sub>50</sub> of 400 per milliliter, which approximately corresponds to M.O.I. = 0.0007) exposed to Neu5Ac were incubated for 2 h at temperature optimal for particular virus. Subsequently, unbound virions were washed off and cells were incubated for 5 days in the presence of Neu5Ac. The data is presented as mean ± SD of virus yield in cell culture supernatant (RT-qPCR) from at least three experiments in triplicate. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Activity of neuraminidase and sialyltransferases. (<b>A</b>) HRT-18G cells were treated with type II neuraminidase (NA, 500 mU/mL) and overlaid with α-2,3-sialyltransferase (α2,3-ST) or α-2,6-sialyltransferase (α2,6-ST) in the presence of 1 mM cytidine-5′-monophospho-<span class="html-italic">N</span>-acetylneuraminic acid for 2 h at 37 °C. Following treatment, cells were fixed, and SAs were visualized with <span class="html-italic">sambucus nigra</span> lectin (α-2,3-SAs specific) labelled with fluorescein (in green) or <span class="html-italic">maackia amurensis</span> lectin (α-2,6-SAs specific) labelled with Cy3 (in red). Scale bar 10 µm. Data were collected from a minimum of 12 fields of view, from at least three different samples. (<b>B</b>) Graphs present corrected total cell fluorescence calculated by subtracting the product of multiplying the cell surface and the mean background fluorescence from total cell fluorescence. The data is presented as mean ± SD from at least one hundred cells per condition. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Resialylation restores CRCoV attachment to SAs-depleted cells. Cells treated with type II neuraminidase (NA, 500 mU/mL) and overlaid with α-2,3-sialyltransferase (α2,3-ST) or α-2,6-sialyltransferase (α2,6-ST) in the presence of 1 mM cytidine-5′-monophospho-<span class="html-italic">N</span>-acetylneuraminic acid for 2 h at 37 °C. Next, cells were overlaid with iodixanol-concentrated CRCoV, incubated for 2 h at 4 °C, fixed and immunostained. (<b>A</b>) Confocal analysis of CRCoV attachment in presence of NA and STs. Virions are presented in green, while blue denotes DNA. Scale bar 10 µm. Data were collected from a minimum of 12 fields of view, from at least two different samples. (<b>B</b>) FACS analysis of viral attachment in presence of NA and STs. Graph shows median fluorescence normalized to control. All data is presented as mean ± SD from at least three experiments in triplicates. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Resialylation restores HCoV-OC43 VR-1558 attachment to SAs-depleted cells. Cells treated with type II neuraminidase (NA, 500 mU/mL) and overlaid with α-2,3-sialyltransferase (α2,3-ST) or α-2,6-sialyltransferase (α2,6-ST) in the presence of 1 mM cytidine-5′-monophospho-<span class="html-italic">N</span>-acetylneuraminic acid for 2 h at 37 °C. Next, cells were overlaid with iodixanol-concentrated HCoV-OC43 VR-1558, incubated for 2 h at 4 °C, fixed, and immunostained. (<b>A</b>) Confocal analysis of HCoV-OC43 attachment in presence of NA and STs. Virions are presented in green, while blue denotes DNA. Scale bar 10 µm. Data were collected from a minimum of 12 fields of view, from at least two different samples. (<b>B</b>) FACS analysis of viral attachment in presence of NA and STs. Graph shows median fluorescence normalized to control. All data is presented as mean ± SD from at least three experiments in triplicates. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Resialylation restores BCoV attachment to SAs-depleted cells. Cells treated with type II neuraminidase (NA, 500 mU/mL) and overlaid with α-2,3-sialyltransferase (α2,3-ST) or α-2,6-sialyltransferase (α2,6-ST) in the presence of 1 mM cytidine-5′-monophospho-<span class="html-italic">N</span>-acetylneuraminic acid for 2 h at 37°C. Next, cells were overlaid with iodixanol-concentrated BCoV, incubated for 2 h at 4 °C, fixed and immunostained. (<b>A</b>) Confocal analysis of BCoV attachment in presence of NA and STs. Virions are presented in green, while blue denotes DNA. Scale bar 10 µm. Data were collected from a minimum of 12 fields of view, from at least two different samples. (<b>B</b>) FACS analysis of viral attachment in presence of NA and STs. Graph shows median fluorescence normalized to control. All data is presented as mean ± SD from at least three experiments in triplicates. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Human leukocyte antigen (HLA) class I as entry receptor for betacoronaviruses. Cells infected with HCoV-OC43 VR-1558, BCoV and CRCoV (at TCID<sub>50</sub> of 400 per milliliter, which approximately corresponds to M.O.I. = 0.0007) in the presence of HLA class I antibodies were incubated for five days at optimal temperature. (<b>A</b>) The proportion of virus infected cells determined with flow cytometry normalized to control. (<b>B</b>) Cytotoxicity of antibodies determined with XTT assay. All data is presented as mean ± SD. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Heparan sulfate (HS) as attachment receptor for HCoV-OC43 VR-1558, BCoV, and CRCoV. (<b>A</b>) FACS analysis of viral attachment in the presence of HS. Cells were overlaid with HCoV-OC43 VR-1558, BCoV, and CRCoV stocks in the presence of HS, incubated for 2 h at 4 °C, fixed, and immunostained. Graph shows mean fluorescence normalized to control. (<b>B</b>) Analysis of viral entry in the presence of HS. Cells were overlaid with HCoV-OC43, BCoV, and CRCoV stocks (at TCID<sub>50</sub> of 400 per milliliter, which approximately corresponds to M.O.I. = 0.0007) in the presence of HS and incubated for 2 h at optimal temperature. Subsequently unbound virions were washed off and the cells were further incubated at optimal temperature in the presence of HS. Virus yield was assessed by RT-qPCR at 5th day p.i. All data is presented as mean ± SD from at least three experiments in triplicate. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Attachment and replication of HCoV-OC43 0500 in human airway epithelium (HAE) cultures. (<b>A</b>) SAs serve as entry receptors for HCoV-OC43 0500. Influence of NA (200 mU/mL), HS (200 µg/mL), Neu5Ac (20–80 mM), and HLA class I specific antibodies (0.5 µg/mL) on HCoV-OC43 0500 infection. Viral yield was assessed by RT-qPCR 5 days p.i. The data is presented as mean ± SD from at least two experiments in duplicates. (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001). (<b>B</b>) SAs serve as attachment receptors for HCoV-OC43 0500. Confocal analysis of NA (200 mU/mL), Neu5Ac (40–80 mM) and HS (200 µg/mL) effect on HCoV-OC43 0500 attachment. Viral capsids are presented in green, blue denotes DNA and red represents actin. Scale bar 10 µm. (<b>C</b>) Quantification of virus attachment. A number of viral particles that attached to the surface of fully differentiated HAE culture was graphed. Data were collected from a minimum of 12 fields of view, from at least two different samples. Number of particles and number of cells were quantified using ImageJ Fiji built in tool “3D Objects Counter”. Results are presented as min-max graph with line corresponding to the mean value (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; **** <span class="html-italic">p</span> &lt; 0.0001).</p>
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