IntroductionIndonesia kick-started the big project of COVID-19 vaccination program in January 2021 by employed vaccine to the president of Indonesia. The outbreak and rapid transmission of COVID-19 have endangered the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as 12 January 2021.MethodsAll data of isolates was extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver was employed to investigate the full-length genome mutation analysis of all isolates. Furthermore, this study also focused on the unlocking of mutation in Indonesian SARS-CoV-2 isolates S protein. WIV04 isolate that was originated from Wuhan, China was used as a virus reference according to CoVsurver default. All data was visualized using GraphPad Prism software, PyMOL, and BioRender.ResultsThis study result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully discovered. Every single mutation in S protein was described and then visualised by employing BioRender. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates.ConclusionTo sum up, this study helps to observe the spread of the COVID-19 transmission. However, it would like to propose that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
Background
Indonesia has started the big project of COVID-19 vaccination program since 13 January 2021 by employing the first shot of vaccine to the President of Indonesia as the outbreak and rapid transmission of COVID-19 have endangered not only Indonesian but the global health and economy. This study aimed to investigate the full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates as of 12 January 2021.
Results
All data of the isolates were extracted from the Global Initiative on Sharing All Influenza Data (GISAID) EpiCoV database. CoVsurver platform was employed to investigate the full-length genome mutation analysis of all isolates. This study also focused on the phylogeny analysis in unlocking the mutation of S protein in Indonesian SARS-CoV-2 isolates. WIV04 isolate that was originated from Wuhan, China was used as the virus reference according to the CoVsurver default. The result showed that a full-length genome mutation analysis of 166 Indonesian SARS-CoV-2 isolates was successfully generated. Every single mutation in S protein was described and then visualized by utilizing BioRender platform. Furthermore, it also found that D614G mutation appeared in 103 Indonesian SARS-CoV-2 isolates.
Conclusions
To sum up, this study helped to observe the spread of COVID-19 transmission. However, it also proposed that the epidemiological surveillance and genomics studies might be improved on COVID-19 pandemic in Indonesia.
Background: Known as the vital avian disease in Indonesia, Newcastle disease (ND) has surged all over Indonesia which cause an immense drop in poultry industry. This investigation intended to examine the pathological and molecular characteristics of the latest Newcastle disease virus (NDV) derived from Gallus gallus in Java, Indonesia.Methods: The samples were inoculated on the embryonic chicken eggs (ECEs), then identified using the hemagglutination test (HA test), insulated isothermal PCR (iiPCR) and hemagglutination inhibition test (HI test). It conducted the reverse transcription-polymerase chain reaction (RT-PCR) using MSF1 and MSF2 primers and followed by nucleotide sequencing for the fusion protein gene. B-cells epitope prediction analysis was applied using the Immune Epitope Database and Analysis Resource (IEDB) and VaxiJen v2.0 to predict its immunogenicity. In addition, it also performed the histopathological examination by applying hematoxylin and eosin staining.Result: The results identified two viruses, NDV-1 and NDV-2, based on the fusion protein gene. Significantly, the cleavage site motif of NDV1 is 112GRQGRL117 (avirulent) and whereas for NDV2 is 112RRRKRF117 (virulent). Furthermore, it also predicted the “CKMGSRPSTKNPAP” peptide from NDV1 could be an immunogenic epitope candidate with a BepiPred linear epitope prediction score of 17.08. In summary, it suggests that NDV1 isolate can be used as a reference for vaccine design in Indonesia.
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