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1.
Mol Biol Evol ; 40(3)2023 03 04.
Article in English | MEDLINE | ID: covidwho-2288520

ABSTRACT

With a possible origin from bats, the alphacoronavirus Porcine epidemic diarrhea virus (PEDV) causes significant hazards and widespread epidemics in the swine population. However, the ecology, evolution, and spread of PEDV are still unclear. Here, from 149,869 fecal and intestinal tissue samples of pigs collected in an 11-year survey, we identified PEDV as the most dominant virus in diarrheal animals. Global whole genomic and evolutionary analyses of 672 PEDV strains revealed the fast-evolving PEDV genotype 2 (G2) strains as the main epidemic viruses worldwide, which seems to correlate with the use of G2-targeting vaccines. The evolving pattern of the G2 viruses presents geographic bias as they evolve tachytely in South Korea but undergo the highest recombination in China. Therefore, we clustered six PEDV haplotypes in China, whereas South Korea held five haplotypes, including a unique haplotype G. In addition, an assessment of the spatiotemporal spread route of PEDV indicates Germany and Japan as the primary hubs for PEDV dissemination in Europe and Asia, respectively. Overall, our findings provide novel insights into the epidemiology, evolution, and transmission of PEDV, and thus may lay a foundation for the prevention and control of PEDV and other coronaviruses.


Subject(s)
Alphacoronavirus , Coronavirus Infections , Coronavirus , Porcine epidemic diarrhea virus , Animals , Swine , Porcine epidemic diarrhea virus/genetics , Phylogeny , Coronavirus/genetics , Coronavirus Infections/epidemiology , Coronavirus Infections/veterinary
2.
Transbound Emerg Dis ; 69(4): 2065-2075, 2022 Jul.
Article in English | MEDLINE | ID: covidwho-1271850

ABSTRACT

Swine acute diarrhoea syndrome coronavirus (SADS-CoV) is a newly identified swine enteropathogenic coronavirus that causes watery diarrhoea in neonatal piglets, leading to significant economic losses to the swine industry. Currently, there are no suitable serological methods to assess the infection of SADS-CoV and effectiveness of vaccines, making an urgent need to exploit effective enzyme-linked immunosorbent assay (ELISA) to compensate for this deficiency. Here, a recombinant plasmid that expresses the spike (S) protein of SADS-CoV fused to the Fc domain of human IgG was constructed to generate recombinant baculovirus and expressed in HEK 293F cells. The S-Fc protein was purified with protein G Resin, which retained reactivity with anti-human Fc and anti-SADS-CoV antibodies. The S-Fc protein was then used to develop an indirect ELISA (S-iELISA) and the reaction conditions of S-iELISA were optimized. As a result, the cut-off value was determined as 0.3711 by analyzing OD450nm values of 40 SADS-CoV-negative sera confirmed by immunofluorescence assay (IFA) and western blot. The coefficient of variation (CV) of 6 SADS-CoV-positive sera within and between runs of S-iELISA were both less than 10%. The cross-reactivity assays demonstrated that S-iELISA was non-cross-reactive with other swine viruses' sera. Furthermore, the overall coincidence rate between IFA and S-iELISA was 97.3% based on testing 111 clinical serum samples. Virus neutralization test with seven different OD450nm values of the sera showed that the OD450nm values tested by S-iELISA are positively correlated with the virus neutralization assay. Finally, a total of 300 pig field serum samples were tested by S-iELISA and commercial kits of other swine enteroviruses showed that the IgG-positive for SADS-CoV, TGEV, PDCoV and PEDV was 81.7, 54, 65.3 and 6%, respectively. The results suggest that this S-iELISA is specific, sensitive, repeatable and can be applied for the detection of the SADS-CoV infection in the swine industry.


Subject(s)
Coronavirus Infections , Swine Diseases , Alphacoronavirus , Animals , Antibodies, Viral , Coronavirus Infections/diagnosis , Coronavirus Infections/veterinary , Enzyme-Linked Immunosorbent Assay/methods , Enzyme-Linked Immunosorbent Assay/veterinary , Immunoglobulin G , Recombinant Proteins , Sensitivity and Specificity , Spike Glycoprotein, Coronavirus/genetics , Swine
3.
J Infect Dev Ctries ; 14(4): 323-327, 2020 04 30.
Article in English | MEDLINE | ID: covidwho-210651

ABSTRACT

INTRODUCTION: Current studies estimated a general incubation period distribution of COVID-19 based on early-confirmed cases in Wuhan, and have not examined whether the incubation period distribution varies across population segments with different travel histories. We aimed to examine whether patients infected by community transmission had extended incubation periods than the early generation patients who had direct exposures to Wuhan. METHODOLOGY: Based on 4741 patient case reports from municipal centers of disease control by February 21, 2020, we calculated the incubation periods of 2555 patients with clear epidemiological survey information and illness development timeline. All patients were categorized into five groups by their travel histories. Incubation period distributions were modeled for each group by the method of the posterior Weibull distribution estimation. RESULTS: Adults aged 30 to 59 years had the most substantial proportion of confirmed cases in China. The incubation period distribution varied slightly across patient groups with different travel histories. Patients who regularly lived in Wuhan and left to other locations before January 23, 2020 had the shortest posterior median value of 7.57 days for the incubation period, while the incubation periods for persons affected by local community transmission had the largest posterior median of incubation periods, 9.31 days. CONCLUSIONS: The median incubation period for all patients infected outside Wuhan was 9 days, a bit of more extended than the early estimated 5-day incubation period that was based on patients in Wuhan. Our findings may imply the decreases of virulence of the COVID-19 virus along with intergenerational transmission.


Subject(s)
Coronavirus Infections/epidemiology , Infectious Disease Incubation Period , Pneumonia, Viral/epidemiology , Travel , Adolescent , Adult , Aged , Aged, 80 and over , Betacoronavirus/isolation & purification , COVID-19 , Child , Child, Preschool , China/epidemiology , Female , Humans , Infant , Male , Middle Aged , Pandemics , SARS-CoV-2
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