Phylogenetic and Genetic Variation Analysis of Porcine Epidemic Diarrhea Virus in East Central China during 2020-2023.

Porcine epidemic diarrhea virus (PEDV) is a major causative pathogen of a highly contagious, acute enteric viral disease. This study evaluated the emergence of nine variants in Jiangsu and Anhui provinces of China from 2020 to 2023. S gene-based phylogenetic analysis indicated that three variants belong to the G1c subgroup, while the other six strains are clustered within the G2c subgroup. Recombination analyses supported that three variants of the G1c subgroup were likely derived from recombination of parental variants FR0012014 and a donor variant AJ1102. In addition, there are novel mutations on amino acid 141-148 and these likely resulted in changes in antigenicity in the three variants. These results illustrated that the study provides novel insights into the epidemiology, evolution, and transmission of PEDV in China.

Efficient SARS-CoV-2 variant detection and monitoring with Spike Screen next-generation sequencing.

The emergence and rapid spread of SARS-CoV-2 prompted the global community to identify innovative approaches to diagnose infection and sequence the viral genome because at several points in the pandemic positive case numbers exceeded the laboratory capacity to characterize sufficient samples to adequately respond to the spread of emerging variants. From week 10, 2020, to week 13, 2023, Slovenian routine complete genome sequencing (CGS) surveillance network yielded 41 537 complete genomes and revealed a typical molecular epidemiology with early lineages gradually being replaced by Alpha, Delta, and finally Omicron. We developed a targeted next-generation sequencing based variant surveillance strategy dubbed Spike Screen through sample pooling and selective SARS-CoV-2 spike gene amplification in conjunction with CGS of individual cases to increase throughput and cost-effectiveness. Spike Screen identifies variant of concern (VOC) and variant of interest (VOI) signature mutations, analyses their frequencies in sample pools, and calculates the number of VOCs/VOIs at the population level. The strategy was successfully applied for detection of specific VOC/VOI mutations prior to their confirmation by CGS. Spike Screen complemented CGS efforts with an additional 22 897 samples sequenced in two time periods: between week 42, 2020, and week 24, 2021, and between week 37, 2021, and week 2, 2022. The results showed that Spike Screen can be applied to monitor VOC/VOI mutations among large volumes of samples in settings with limited sequencing capacity through reliable and rapid detection of novel variants at the population level and can serve as a basis for public health policy planning.

Identification of Various Recombinants in a Patient Coinfected With the Different SARS-CoV-2 Variants.

BACKGROUND: Viral recombination that occurs by exchanging genetic materials between two viral genomes coinfecting the same host cells is associated with the emergence of new viruses with different virulence. Herein, we detected a patient coinfected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta and Omicron variants and identified various recombinants in the SARS-CoV-2 full-length spike gene using long-read and Sanger sequencing. METHODS: Samples from five patients in Japan with household transmission of coronavirus disease 2019 (COVID-19) were analyzed using molecular assays for detection and identification of SARS-CoV-2. Whole-genome sequencing was conducted using multiplex PCR with short-read sequencing. RESULTS: Among the five SARS-CoV-2-positive patients, the mutation-specific assay identified the Delta variant in three, the Omicron variant in one, and an undetermined in one. The undermined patient was identified as Delta using whole-genome sequencing, but samples showed a mixed population of Delta and Omicron variants. This patient was analyzed for viral quasispecies by long-read and Sanger sequencing using a full-length spike gene amplicon. In addition to the Delta and Omicron sequences, the viral quasispecies analysis identified nine different genetic recombinant sequences with various breakpoints between Delta and Omicron sequences. The nine detected recombinant sequences in the spike gene showed over 99% identity with viruses that were detected during the Delta and Omicron cocirculation period from the United States and Europe. CONCLUSIONS: This study demonstrates that patients coinfected with different SARS-CoV-2 variants can generate various viral recombinants and that various recombinant viruses may be produced during the cocirculation of different variants.

Dynamic Evolution of SARS-CoV-2 in West Sumatra: Analyzing S Gene Mutations Across Variants and Their Impact on Public Health and Vaccine Strategies.

<b>Background and Objective:</b> The global SARS-CoV-2 pandemic highlights the importance of tracking virus evolution through genomic surveillance, especially concerning mutations in the SARS-CoV-2 spike protein, crucial for vaccine development. Despite global concern over variants, regions like West Sumatra, Indonesia, lack thorough genomic analysis, prompting this study to analyze S gene mutations across three pandemic waves in West Sumatra. <b>Materials and Methods:</b> Next-generation sequencing was conducted through the Illumina MiSeq instrument to leverage a dataset of 352 anonymized samples collected between March, 2020 and November, 2022 and rigorous analysis of S gene mutation using CLC Genomics Workbench^® 21 version 21.0.3 were employed. Statistical analyses assessed mutation prevalence over time, exploring associations with clinical outcomes. <b>Results:</b> The findings revealed significant variability in mutation profiles across different variants. Notably, the Omicron variant (21K) exhibited a high mutation rate, suggesting enhanced immune evasion capabilities. Comparative analysis highlighted evolutionary trends, from early variants with fewer mutations to highly adapted forms like Delta (21I) and Omicron. The dynamic nature of SARS-CoV-2 evolution underscores the importance of continuous surveillance, rapid public health response and vaccine adaptation. <b>Conclusion:</b> This study contributes valuable insights into the virus's evolving landscape, emphasizing the need for ongoing research, global collaboration and adaptable vaccine strategies to manage the evolving threat of COVID-19 effectively.

Structural impact of a new spike Y170W mutation detected in early emerging SARS-CoV-2 Omicron variants in France.

To assess the genetic characteristics of the early emerging SARS-CoV-2 Omicron variant strains, we retrospectively analyzed a collection of 150 nasopharyngeal samples taken from a series of outpatient cases tested positive by a referenced qRT-PCR assay during the reported period of Omicron variant emergence in December 2021, in northeastern region of France. Next Generation Sequencing (NGS) analysis of SARS-CoV-2 spike sequences revealed that only 3 (2 %) of these detected strains were Omicron variants, while 147 (98 %) were identified as previously described delta variants. Our phylogenetic analyzes of SARS-CoV-2 RNA genomes showed that these French early emerging Omicron variants may have originated from South Africa or India. In addition, whole viral genome sequences NGS comparison analyzes allowed us to identify an original and uncharacterized Y170W spike mutation that was weakly and transiently detected during the period of SARS-CoV-2 Omicron variant emergence in human populations. Molecular modeling and docking experiments indicated that this original mutated residue Y170W was neither directly involved in binding to the SARS-CoV-2 receptor ACE2 nor in interacting with known neutralizing antibody sites. However, this new mutation may be responsible for preventing the transition from the closed to the open Spike conformation, thus promoting the early emergence of the Omicron variant. Overall, these results underscore the epidemiological utility of a routine whole-genome viral NGS strategy that enables genotypic characterization of emerging or mutant SARS-CoV-2 variants, which could have significant implications for public health policy.

Systematic SARS-CoV-2 S-gene sequencing in wastewater samples enables early lineage detection and uncovers rare mutations in Portugal.

As the COVID-19 pandemic reached its peak, many countries implemented genomic surveillance systems to track the evolution and transmission of SARS-CoV-2. Transition from the pandemic to the endemic phase prioritized alternative testing strategies to maintain effective epidemic surveillance at the population level, with less intensive sequencing efforts. One such promising approach was Wastewater-Based Surveillance (WBS), which offers non-invasive, cost-effective means for analysing virus trends at the sewershed level. From 2020 onwards, wastewater has been recognized as an instrumental source of information for public health, with national and international authorities exploring options to implement national wastewater surveillance systems and increasingly relying on WBS as early warning of potential pathogen outbreaks. In Portugal, several pioneer projects joined the academia, water utilities and Public Administration around WBS. To validate WBS as an effective genomic surveillance strategy, it is crucial to collect long term performance data. In this work, we present one year of systematic SARS-CoV-2 wastewater surveillance in Portugal, representing 35 % of the mainland population. We employed two complementary methods for lineage determination - allelic discrimination by RT-PCR and S-gene sequencing. This combination allowed us to monitor variant evolution in near-real-time and identify low-frequency mutations. Over the course of this year-long study, spanning from May 2022 to April 2023, we successfully tracked the dominant Omicron sub-lineages, their progression and evolution, which aligned with concurrent clinical surveillance data. Our results underscore the effectiveness of WBS as a tracking system for virus variants, with the ability to unveil mutations undetected via massive sequencing of clinical samples from Portugal, demonstrating the ability of WBS to uncover new mutations and detect rare genetic variants. Our findings emphasize that knowledge of the genetic diversity of SARS-CoV-2 at the population level can be extended far beyond via the combination of routine clinical genomic surveillance with wastewater sequencing and genotyping.

"Nano COVID-19": Nanopore sequencing of spike gene to identify SARS-CoV-2 variants of concern.

Coronavirus disease 2019 (COVID-19) is a worldwide pandemic infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). World Health Organization (WHO) has defined the viral variants of concern (VOC) which cause more severe disease, higher transmissibility, and reduced vaccine efficacy. In this study, the "Nano COVID-19" workflow based on Oxford nanopore sequencing of the full-length spike gene combined with flexible data analysis options was developed to identify SARS-CoV-2 VOCs. The primers were designed to cover the full-length spike gene and can amplify all VOC strains. The results of VOC identification based on phylogenetic analysis of the full-length spike gene were comparable to the whole genome sequencing (WGS). Compared to the standard VOC identification pipeline, the fast analysis based on Read Assignment, Mapping, and Phylogenetic Analysis in Real Time (RAMPART) and the user-friendly method based on EPI2ME yielded 89.3% and 97.3% accuracy, respectively. The EPI2ME pipeline is recommended for researchers without bioinformatic skills, whereas RAMPART is more suitable for bioinformaticians. This workflow provides a cost-effective, simplified pipeline with a rapid turnaround time. Furthermore, it is portable to point-of-care SARS-CoV-2 VOC identification and compatible with large-scale analysis. Therefore, "Nano COVID-19" is an alternative viral epidemic screening and transmission tracking workflow.

Implementation of an In-House Platform for Rapid Screening of SARS-CoV-2 Genome Variations.

BACKGROUND: Global real-time monitoring of SARS-CoV-2 variants is crucial to controlling the COVID-19 outbreak. The purpose of this study was to set up a Sanger-based platform for massive SARS-CoV-2 variant tracking in laboratories in low-resource settings. METHODS: We used nested RT-PCR assay, Sanger sequencing and lineage assignment for 930-bp of the SARS-CoV-2 spike gene, which harbors specific variants of concern (VOCs) mutations. We set up our platform by comparing its results with whole genome sequencing (WGS) data on 137 SARS-CoV-2 positive samples. Then, we applied it on 1028 samples from March-September 2021. RESULTS: In total, 125 out of 137 samples showed 91.24% concordance in mutation detection. In lineage assignment, 123 out of 137 samples demonstrated 89.78% concordance, 65 of which were assigned as VOCs and showed 100% concordance. Of 1028 samples screened by our in-house method, 78 distinct mutations were detected. The most common mutations were: S:D614G (21.91%), S:P681R (12.19%), S:L452R (12.15%), S:T478K (12.15%), S:N501Y (8.91%), S:A570D (8.89%), S:P681H (8.89%), S:T716I (8.74%), S:L699I (3.50%) and S:S477N (0.28%). Of 1028 samples, 980 were attributed as VOCs, which include the Delta (B.1.617.2) and Alpha (B.1.1.7) variants. CONCLUSION: Our proposed in-house Sanger-based assay for SARS-CoV-2 lineage assignment is an accessible strategy in countries with poor infrastructure facilities. It can be applied in the rapid tracking of SARS-CoV-2 VOCs in the SARS-CoV-2 pandemic.

Reverse Genetic Assessment of the Roles Played by the Spike Protein and ORF3 in Porcine Epidemic Diarrhea Virus Pathogenicity.

Porcine epidemic diarrhea virus is a swine pathogen that has been responsible for significant animal and economic losses worldwide in recent years. In this manuscript, we report the generation of a reverse genetics system C(RGS) for the highly virulent US PEDV strain Minnesota (PEDV-MN; GenBank accession number KF468752), which was based on the assembly and cloning of synthetic DNA, using vaccinia virus as a cloning vector. Viral rescue was only possible following the substitution of 2 nucleotides within the 5'UTR and 2 additional nucleotides within the spike gene, based on the sequence of the cell culture-adapted strains. Besides displaying a highly pathogenic phenotype in newborn piglets, in comparison with the parental virus, the rescued recombinant PEDV-MN was used to confirm that the PEDV spike gene has an important role in PEDV virulence and that the impact of an intact PEDV ORF3 on viral pathogenicity is modest. Moreover, a chimeric virus with a TGEV spike gene in the PEDV backbone generated with RGS was able to replicate efficiently in vivo and could be readily transmitted between piglets. Although this chimeric virus did not cause severe disease upon the initial infection of piglets, there was evidence of increasing pathogenicity upon transmission to contact piglets. The RGS described in this study constitutes a powerful tool with which to study PEDV pathogenesis and can be used to generate vaccines against porcine enteric coronaviruses. IMPORTANCE PEDV is a swine pathogen that is responsible for significant animal and economic losses worldwide. Highly pathogenic variants can lead to a mortality rate of up to 100% in newborn piglets. The generation of a reverse genetics system for a highly virulent PEDV strain originating from the United States is an important step in phenotypically characterizing PEDV. The synthetic PEDV mirrored the authentic isolate and displayed a highly pathogenic phenotype in newborn piglets. With this system, it was possible to characterize potential viral virulence factors. Our data revealed that an accessory gene (ORF3) has a limited impact on pathogenicity. However, as it is also now known for many coronaviruses, the PEDV spike gene is one of the main determinants of pathogenicity. Finally, we show that the spike gene of another porcine coronavirus, namely, TGEV, can be accommodated in the PEDV genome background, suggesting that similar viruses can emerge in the field via recombination.

Observational cohort study of the clinical outcomes associated with B.1.1.7/SGTF among hospitalized COVID-19 patients in Lebanon.

Background: The B.1.1.7 SARS-CoV-2 variant results in spike gene target failure (SGTF) in reverse transcription-quantitative polymerase chain reaction (RT-PCR) assays. Few studies have been published on the clinical impact of B.1.1.7/SGTF. Aims: To assess the incidence of B.1.1.7/SGTF and its associated clinical characteristics among hospitalized COVID-19 patients. Methods: This observational, single-centre, cohort study was conducted between December 2020 and February 2021 and included 387 hospitalized COVID-19 patients. The Kaplan-Meier method was used for survival analysis, and logistic regression to identify risk factors associated with B.1.1.7/SGTF. Results: By February 2021, B.1.1.7/SGTF (88%) dominated the SARS-CoV-2 PCR results in a Lebanese hospital. Of the 387 eligible COVID-19 patients confirmed by SARS-CoV-2 RT-PCR, 154 (40%) were non-SGTF and 233 (60%) were B.1.1.1.7/SGTF; this was associated with a higher mortality rate among female patients [22/51 (43%) vs 7/37 (19%); P = 0.0170]. Among patients in the B.1.1.7/SGTF group, most were aged ≥ 65 years [162/233 (70%) vs 74/154 (48%); P < 0.0001]. Independent predictors of B.1.1.7/SGTF infection were hypertension (OR = 0.415; CI: 0.242-0.711; P = 0.0010), age ≥ 65 years (OR = 0.379; CI: 0.231-0.622; P < 0.0001), smoking (OR = 1.698; CI: 1.023-2.819; P = 0.0410), and cardiovascular disease (OR = 3.812; CI: 2.215-6.389; P < 0.0001). Only non-SGTF patients experienced multi-organ failure [5/154 (4%) vs 0/233 (0%); P = 0.0096]. Conclusion: There was a clear difference between the clinical features associated with B.1.1.7/SGTF and non-SGTF lineages. Tracking viral evolution and its clinical impact is crucial for proper understanding and management of the COVID-19 pandemic.

Fast and cost-effective SARS-CoV-2 variant detection using Oxford Nanopore full-length spike gene sequencing.

Most biologically relevant and diagnostic mutations in the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genome have been identified in the S gene through global genomic surveillance efforts. However, large-scale whole-genome sequencing (WGS) is still challenging in developing countries due to higher costs, reagent delays and limited infrastructure. Consequently, only a small fraction of SARS-CoV-2 samples are characterized through WGS in these regions. Here, we present a complete workflow consisting of a fast library preparation protocol based on tiled amplification of the S gene, followed by a PCR barcoding step and sequencing using Nanopore platforms. This protocol facilitates fast and cost-effective identification of main variants of concern and mutational surveillance of the S gene. By applying this protocol, report time and overall costs for SARS-CoV-2 variant detection could be reduced, contributing to improved genomic surveillance programmes, particularly in low-income regions.

Evolutionary rate of SARS-CoV-2 increases during zoonotic infection of farmed mink.

To investigate genetic signatures of adaptation to the mink host, we characterised the evolutionary rate heterogeneity in mink-associated severe acute respiratory syndrome coronaviruses (SARS-CoV-2). In 2020, the first detected anthropozoonotic spillover event of SARS-CoV-2 occurred in mink farms throughout Europe and North America. Both spill-back of mink-associated lineages into the human population and the spread into the surrounding wildlife were reported, highlighting the potential formation of a zoonotic reservoir. Our findings suggest that the evolutionary rate of SARS-CoV-2 underwent an episodic increase upon introduction into the mink host before returning to the normal range observed in humans. Furthermore, SARS-CoV-2 lineages could have circulated in the mink population for a month before detection, and during this period, evolutionary rate estimates were between 3 × 10-3 and 1.05 × 10-2 (95 per cent HPD, with a mean rate of 6.59 × 10-3) a four- to thirteen-fold increase compared to that in humans. As there is evidence for unique mutational patterns within mink-associated lineages, we explored the emergence of four mink-specific Spike protein amino acid substitutions Y453F, S1147L, F486L, and Q314K. We found that mutation Y453F emerged early in multiple mink outbreaks and that mutations F486L and Q314K may co-occur. We suggest that SARS-CoV-2 undergoes a brief, but considerable, increase in evolutionary rate in response to greater selective pressures during species jumps, which may lead to the occurrence of mink-specific mutations. These findings emphasise the necessity of ongoing surveillance of zoonotic SARS-CoV-2 infections in the future.

Molecular characterization and phylogenetic analysis of porcine epidemic diarrhea virus strains circulating in China from 2020 to 2021.

BACKGROUND: Porcine epidemic diarrhea virus (PEDV), an enteric coronavirus, has become the major causative agent of acute gastroenteritis in piglets since 2010 in China. RESULTS: In the current study, 91 complete spike (S) gene sequences were obtained from PEDV positive samples collected from 17 provinces in China from March 2020 to March 2021. A phylogenetic analysis showed that 92.3% (84 out of 91) of the identified strains belonged to GII subtype, while 7.7% (7 out of 91) were categorized as S-INDEL like strains and grouped within GI-c clade. Based on a recombination analysis, six of S-INDEL like strains were recombinant strains originated from S-INDEL strain FR/001/2014 and virulent strain AJ1102. In addition, PEDV variant strains (CH/GDMM/202012, CH/GXDX/202010 et al) carrying novel insertions (360QGRKS364 and 1278VDVF1281) in the S protein were observed. Furthermore, the deduced amino acid sequences for the S protein showed that multiple amino acid substitutions in the antigenic epitopes in comparison with the vaccine strains. CONCLUSIONS: In conclusion, these data provide novel molecular evidence on the epidemiology and molecular diversity of PEDV in 2020-2021. This information may help design a strategy for controlling and preventing the prevalence of PEDV variant strains in China.

Molecular evolution of human coronavirus-NL63, -229E, -HKU1 and -OC43 in hospitalized children in China.

Human coronaviruses (HCoVs) HCoV-NL63, HCoV-229E, HCoV-HKU1 and HCoV-OC43 have been circulated in the human population worldwide, and they are associated with a broad range of respiratory diseases with varying severity. However, there are neither effective therapeutic drugs nor licensed vaccines available for the treatment and prevention of infections by the four HCoVs. In this study, we collected nasopharyngeal aspirates of children hospitalized for respiratory tract infection in China during 2014-2018 and conducted next-generation sequencing. Sequences of four HCoVs were then selected for an in-depth analysis. Genome sequences of 2 HCoV-NL63, 8 HCoV-229E, 2 HCoV-HKU1, and 6 HCoV-OC43 were obtained. Based on the full-length S gene, a strong temporal signal was found in HCoV-229E and the molecular evolutionary rate was 6 × 10-4 substitutions/site/year. Based on the maximum-likelihood (ML) phylogenetic tree of complete S gene, we designated H78 as a new sub-genotype C2 of HCoV-HKU1, and the obtained P43 sequence was grouped into the reported novel genotype K of HCoV-OC43 circulating in Guangzhou, China. Based on the complete genome, potential recombination events were found to occur as two phenomena, namely intraspecies and interspecies. Moreover, we observed two amino acid substitutions in the S1 subunit of obtained HCoV-NL63 (G534V) and HCoV-HKU1 (H512R), while residues 534 and 512 are important for the binding of angiotensin-converting enzyme 2 and neutralizing antibodies, respectively. Our findings might provide a clue for the molecular evolution of the four HCoVs and help in the early diagnosis, treatment and prevention of broad-spectrum HCoV infection.

3'UTR of SARS-CoV-2 spike gene hijack host miR-296 or miR-520h to disturb cell proliferation and cytokine signaling.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has becoming globally public health threat. Recently studies were focus on SARS-CoV-2 RNA to design vaccine and drugs. It was demonstrated that virus RNA could play as sponge to host noncoding RNAs to regulate cellular processes. Bioinformatic research predicted a series of motif on SARS-CoV-2 genome where are targets of human miRNAs. In this study, we used dual-luciferase reporter assays to validate the interaction between 3'UTR of SARS-CoV-2 S (S-3'UTR) gene and bioinformatic predicted targeting miRNAs. The growth of 293T cells and HUVECs with overexpressed S-3'UTR was determined, while miRNAs and IL6, TNF-α levels were checked in this condition. Then, miR-296 and miR-602 mimic were introduced into 293T cells and HUVECs with overexpressed S-3'UTR, respectively, to reveal the underlying regulation mechanism. In results, we screened 19 miRNAs targeting the S-3'UTR, including miR-296 and miR-602. In 293T cell, S-3'UTR could inhibit 293T cell growth through down-regulation of miR-296. By reducing miR-602, S-3'UTR could induce HUVECs cell proliferation, alter the cell cycle, reduce apoptosis, and enhanced IL6 and TNF-αlevel. In conclusion, SARS-CoV-2 RNA could play as sponge of host miRNA to disturb cell growth and cytokine signaling. It suggests an important clue for designing COVID-19 drug and vaccine.

Genomic surveillance of SARS-CoV-2 by sequencing the RBD region using Sanger sequencing from North Kerala.

Next Generation Sequencing (NGS) is the gold standard for the detection of new variants of SARS-CoV-2 including those which have immune escape properties, high infectivity, and variable severity. This test is helpful in genomic surveillance, for planning appropriate and timely public health interventions. But labs with NGS facilities are not available in small or medium research settings due to the high cost of setting up such a facility. Transportation of samples from many places to few centers for NGS testing also produces delays due to transportation and sample overload leading in turn to delays in patient management and community interventions. This becomes more important for patients traveling from hotspot regions or those suspected of harboring a new variant. Another major issue is the high cost of NGS-based tests. Thus, it may not be a good option for an economically viable surveillance program requiring immediate result generation and patient follow-up. The current study used a cost-effective facility which can be set up in a common research lab and which is replicable in similar centers with expertise in Sanger nucleotide sequencing. More samples can be processed at a time and can generate the results in a maximum of 2 days (1 day for a 24 h working lab). We analyzed the nucleotide sequence of the Receptor Binding Domain (RBD) region of SARS-CoV-2 by the Sanger sequencing using in-house developed methods. The SARS-CoV-2 variant surveillance was done during the period of March 2021 to May 2022 in the Northern region of Kerala, a state in India with a population of 36.4 million, for implementing appropriate timely interventions. Our findings broadly agree with those from elsewhere in India and other countries during the period.

Molecular survey of infectious bronchitis virus on poultry farms in Gifu Prefecture, Japan from 2021 to 2022 by RT-PCR with an enhanced level of detection sensitivity for the S1 gene.

Infectious bronchitis virus (IBV) is the causative agent of infectious bronchitis (IB) in chickens. There is a correlation between cross-protection and percentage of similarity between nucleotide sequences encoding the S1 subunit, which is responsible for generating neutralizing and serotype-specific antibodies. Therefore, RT-PCR is commonly used to amplify the IBV-S1 gene following DNA sequencing in order to predict the efficacy of vaccines against IBV strains. We successfully enhanced the sensitivity for detection of the IBV-S1 gene by second PCR after purification of the 1st RT-PCR product. Using that method, we obtained detailed information on the prevalence of IBV on poultry farms in Gifu Prefecture, Japan. The IBV-S1 gene detection method used in the current study will enable accurate information on the prevalence of IBV in Japan to be obtained.

Fecal Feline Coronavirus RNA Shedding and Spike Gene Mutations in Cats with Feline Infectious Peritonitis Treated with GS-441524.

As previously demonstrated by our research group, the oral multicomponent drug Xraphconn® containing GS-441524 was effective at curing otherwise fatal feline infectious peritonitis (FIP) in 18 feline coronavirus (FCoV)-infected cats. The aims of the current study were to investigate, using samples from the same animals as in the previous study, (1) the effect of treatment on fecal viral RNA shedding; (2) the presence of spike gene mutations in different body compartments of these cats; and (3) viral RNA shedding, presence of spike gene mutations, and anti-FCoV antibody titers in samples of 12 companion cats cohabitating with the treated cats. Eleven of the eighteen treated FIP cats (61%) were shedding FCoV RNA in feces within the first three days after treatment initiation, but all of them tested negative by day 6. In one of these cats, fecal shedding reoccurred on day 83. Two cats initially negative in feces were transiently positive 1-4 weeks into the study. The remaining five cats never shed FCoV. Viral RNA loads in feces decreased with time comparable with those in blood and effusion. Specific spike gene mutations linked to systemic FCoV spread were consistently found in blood and effusion from treated FIP cats, but not in feces from treated or companion cats. A new mutation that led to a not yet described amino acid change was identified, indicating that further mutations may be involved in the development of FIP. Eight of the twelve companion cats shed FCoV in feces. All but one of the twelve companion cats had anti-FCoV antibodies. Oral treatment with GS-441524 effectively decreased viral RNA loads in feces, blood, and effusion in cats with FIP. Nonetheless, re-shedding can most likely occur if cats are re-exposed to FCoV by their companion cats.

Detection and molecular characteristics of canine coronavirus in Chengdu city, Southwest China from 2020 to 2021.

Canine coronavirus (CCoV) is generally thought of as a mild, but highly contagious, enteritis of young dogs. This study was to investigate the molecular detection and characteristics of CCoV in Chengdu city, Southwest China. 218 canine fecal samples were collected from four animal hospitals and one animal shelter from 2020 to 2021. Fifty-nine CCoV-positive samples were detected by RT-PCR, including 40 CCoV-I, 25 CCoV-IIa, one CCoV-IIb and 10 untyped. To further analyze the genetic diversity of CCoV, we amplified ten complete spike (S) genes, including four CCoV-I and six CCoV-II strains. The amino acid sequence obtained in this study revealed 85.95% ± 12.55% homology with the reference strains. Moreover, in the N-terminal structural domain, there were two amino acid insertions (17QQ18) in two strains of CCoV-I and four amino acid insertions (95IGTN98) in CCoV-IIb strain. Interestingly, we identified that the S1/S2 cleavage site of the S protein of CCoV strains (SWU-SSX3 and SWU-SSX10) were consistent with feline coronavirus (FCoV). In the evolutionary tree, a strain of CCoV-I (SWU-SSX10) was found to be more closely related to FCoV, while SWU-SSX7 of CCoV-IIb was more closely related to coronavirus from the Chinese ferret badger. In addition, for the first time, recombination in a CCoV-IIb strain was found to occur between two subtypes occurring in the C domain of the S1 subunit, with a breakpoint starting at 2141 nt. The results enriched the epidemiological information of CCoV and provided an important reference for the prevention of CCoV in Chengdu city, Southwest China.

High-Integrity Sequencing of Spike Gene for SARS-CoV-2 Variant Determination.

For tiling of the SARS-CoV-2 genome, the ARTIC Network provided a V4 protocol using 99 pairs of primers for amplicon production and is currently the widely used amplicon-based approach. However, this technique has regions of low sequence coverage and is labour-, time-, and cost-intensive. Moreover, it requires 14 pairs of primers in two separate PCRs to obtain spike gene sequences. To overcome these disadvantages, we proposed a single PCR to efficiently detect spike gene mutations. We proposed a bioinformatic protocol that can process FASTQ reads into spike gene consensus sequences to accurately call spike protein variants from sequenced samples or to fairly express the cases of missing amplicons. We evaluated the in silico detection rate of primer sets that yield amplicon sizes of 400, 1200, and 2500 bp for spike gene sequencing of SARS-CoV-2 to be 59.49, 76.19, and 92.20%, respectively. The in silico detection rate of our proposed single PCR primers was 97.07%. We demonstrated the robustness of our analytical protocol against 3000 Oxford Nanopore sequencing runs of distinct datasets, thus ensuring high-integrity sequencing of spike genes for variant SARS-CoV-2 determination. Our protocol works well with the data yielded from versatile primer designs, making it easy to determine spike protein variants.