A phylogenetically distinct Middle East respiratory syndrome coronavirus detected in a dromedary calf from a closed dairy herd in Dubai with rising seroprevalence with age
EMERGING MICROBES & INFECTIONS
Authors: Wernery, Ulrich; El Rasoul, IHassab; Wong, Emily Y. M.; Joseph, Marina; Chen, Yixin; Jose, Shanty; Tsang, Alan K. L.; Patteril, Nissy Annie Georgy; Chen, Honglin; Elizabeth, Shyna K.; Yuen, Kwok-Yung; Joseph, Sunitha; Xia, Ningshao; Wernery, Renate; Lau, Susanna K. P.; Woo, Patrick C. Y.
Middle East respiratory syndrome coronavirus (MERS-CoV) was detected by monoclonal antibody-based nucleocapsid protein-capture enzyme-linked immunosorbent assay (ELISA), RNA detection, and viral culture from the nasal sample of a 1-month-old dromedary calf in Dubai with sudden death. Whole genome phylogeny showed that this MERS-CoV strain did not cluster with the other MERS-CoV strains from Dubai that we reported recently. Instead, it formed a unique branch more closely related to other MERS-CoV strains from patients in Qatar and Hafr-Al-Batin in Saudi Arabia, as well as the MERS-CoV strains from patients in the recent Korean outbreak, in which the index patient acquired the infection during travel in the eastern part of the Arabian Peninsula. Non-synonymous mutations, resulting in 11 unique amino acid differences, were observed between the MERS-CoV genome from the present study and all the other available MERS-CoV genomes. Among these 11 unique amino acid differences, four were found in ORF1ab, three were found in the S1 domain of the spike protein, and one each was found in the proteins encoded by ORF4b, ORF5, envelope gene, and ORF8. MERS-CoV detection for all other 254 dromedaries in this closed dairy herd was negative by nucleocapsid protein-capture ELISA and RNA detection. MERS-CoV IgG sero-positivity gradually increased in dromedary calves with increasing age, with positivity rates of 75% at zero to three months, 79% at four months, 89% at five to six months, and 90% at seven to twelve months. The development of a rapid antigen detection kit for instantaneous diagnosis is warranted.
Bioinformatics analysis on potential anti-viral targets against spike protein of MERS-CoV Subtitle: Potential epitopes in MERS-CoV S Protein
2018 NINTH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY IN MEDICINE AND EDUCATION (ITME 2018)
Authors: Li, Yan-Hua; Gao, Hainv; Xiao, Yunfeng; Weng, Tianhao; Yu, Dongshan; Hu, Chenyu; Yao, Hang-Ping; Li, Lan-Juan
Objective Middle East respiratory syndrome is caused by the Middle respiratory syndrome coronavirus (MERS-CoV) and the mortality is high. However, to date, there is no effective vaccine or antibody for human immunity and treatment as a putative therapeutic agent specific for MERS. The aim of this study was to obtain the bioinformatic characteristics of the MERS-CoV S protein antigen. Methods SOPMA Server software and the DiscoTope were used to predict the secondary and tertiary structures of the MERS-CoV S protein, respectively, whilst a number of online prediction software applications, including IEDB, Syfpeithi and other resources of IEDB, were used for the T-and B-cell epitope predictions. Results The prediction results indicated that the T-cell epitopes were located at positions 950-958, 317-325, 1309-1317, 480-488 and 388-396, whereas the B-cell epitopes were located at positions 520-528, 629-637, 659-667, 734-744, 1205-1212. 19-53, 300-309, 478-523, 528-550 and 622-632. Conclusion These regions were the potential dominant epitopes of the MERS-CoV S protein antigen. The results of our study provide experimental data for the identification and screening of epitopes and may be used for the development of epitope vaccines that have an enhanced safety and efficacy. This may result in the provision of improved regimens for the prevention and treatment of MERS.