Full-genome sequencing and mutation analysis of SARS-CoV-2 isolated from Makassar, South Sulawesi, Indonesia

Author:

Massi Muhammad Nasrum123,Abidin Rufika Shari3,Farouk Abd-ElAziem4,Halik Handayani35,Soraya Gita Vita6,Hidayah Najdah3,Sjahril Rizalinda12,Handayani Irda7,Hakim Mohamad Saifudin8,Gazali Faris Muhammad9,Setiawaty Vivi10,Wibawa Tri8

Affiliation:

1. Department of Clinical Microbiology, Hasanuddin University, Makassar, South Sulawesi, Indonesia

2. Microbiology Laboratory, Hasanuddin University Hospital, Makassar, South Sulawesi, Indonesia

3. Hasanuddin University Medical Research Center Laboratory, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia

4. Department of Biotechnology, Faculty of Science, Taif University, Taif City, Al-Hawiyya, Saudi Arabia

5. Mega Rezky University, Makassar, South Sulawesi, Indonesia

6. Department of Biochemistry, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia

7. Clinical Pathology Laboratory, Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia

8. Department of Microbiology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Yogyakarta, Indonesia

9. Master Program in Biotechnology, Postgraduate School, Gadjah Mada University, Yogyakarta, Indonesia

10. National Institute for Health Research and Development, Ministry of Health, Jakarta, Indonesia

Abstract

Introduction A global surge in SARS-CoV-2 cases is occurring due to the emergence of new disease variants, and requires continuous adjustment of public health measures. This study aims to continuously monitor and mitigate the impact of SARS-CoV-2 through genomic surveillance, to determine the emergence of variants and their impact on public health. Methods Data were collected from 50 full-genome sequences of SARS-CoV-2 isolates from Makassar, South Sulawesi, Indonesia. Mutation and phylogenetic analysis was performed of SARS-CoV-2 from Makassar, South Sulawesi, Indonesia. Results Phylogenetic analysis showed that two samples (4%) were of the B.1.319 lineage, while the others (96%) were of the B.1.466.2 lineage. Mutation analysis of the spike (S) protein region showed that the most common mutation was D614G (found in 100% of the sequenced isolates), followed by N439K (98%) and P681R (76%). Several mutations were also identified in other genomes with a high frequency, including P323L (nsp12), Q57H (ns3-orf3a), and T205I (nucleoprotein). Conclusion Our findings highlight the importance of continuous genomic surveillance to identify new viral mutations and variants with possible impacts on public health.

Funder

The Ministry of Research and Technology/National Research and Innovation Agency of Republic Indonesia

Indonesia Endowment Fund for Education

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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