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

• Published in: PeerJ (San Francisco, CA) Vol. 10; p. e13522
• Main Authors: Massi, Muhammad Nasrum, Abidin, Rufika Shari, Farouk, Abd-ElAziem, Halik, Handayani, Soraya, Gita Vita, Hidayah, Najdah, Sjahril, Rizalinda, Handayani, Irda, Hakim, Mohamad Saifudin, Gazali, Faris Muhammad, Setiawaty, Vivi, Wibawa, Tri
• Format: Journal Article
• Language: English
• Published: United States PeerJ. Ltd 10.06.2022; PeerJ, Inc; PeerJ Inc
• Subjects: Analysis; Coronaviruses; COVID-19; COVID-19 - epidemiology; D614G; DNA sequencing; Epidemiology; Genetic aspects; Genomes; Genomics; Health aspects; Humans; Indonesia - epidemiology; Infectious Diseases; Medical Genetics; Mutation; Mutation - genetics; N439K; Nucleotide sequencing; Phylogeny; Public health; SARS-CoV-2; SARS-CoV-2 - genetics; Severe acute respiratory syndrome coronavirus 2; Viruses; Whole-genome sequencing; Indonesia; China; South Africa; United Kingdom > UK; Sulawesi; COVID-19; SARS-CoV-2; N439K; D614G; Whole-genome sequencing
• ISSN: 2167-8359; 2167-8359
• DOI: 10.7717/peerj.13522

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. 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. 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). Our findings highlight the importance of continuous genomic surveillance to identify new viral mutations and variants with possible impacts on public health.