Evidence map›Paper›PMID 35707124›Full record

ArticlePeerJ2022

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

Muhammad Nasrum Massi, Rufika Shari Abidin, Abd-ElAziem Farouk, Handayani Halik, Gita Vita Soraya, Najdah Hidayah, Rizalinda Sjahril, Irda Handayani, Mohamad Saifudin Hakim, Faris Muhammad Gazali and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Muhammad Nasrum MassiDepartment of Clinical Microbiology, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Rufika Shari AbidinHasanuddin University Medical Research Center Laboratory, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Abd-ElAziem FaroukDepartment of Biotechnology, Faculty of Science, Taif University, Taif City, Al-Hawiyya, Saudi Arabia.
Handayani HalikHasanuddin University Medical Research Center Laboratory, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Gita Vita SorayaDepartment of Biochemistry, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Najdah HidayahHasanuddin University Medical Research Center Laboratory, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Rizalinda SjahrilDepartment of Clinical Microbiology, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Irda HandayaniClinical Pathology Laboratory, Wahidin Sudirohusodo Hospital, Makassar, South Sulawesi, Indonesia.
Mohamad Saifudin HakimDepartment of Microbiology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.
Faris Muhammad GazaliMaster Program in Biotechnology, Postgraduate School, Gadjah Mada University, Yogyakarta, Indonesia.
Vivi SetiawatyNational Institute for Health Research and Development, Ministry of Health, Jakarta, Indonesia.
Tri WibawaDepartment of Microbiology, Faculty of Medicine, Public Health and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19SARS-CoV-2HumansIndonesiaMutationPhylogenyCOVID-19D614GN439KSARS-CoV-2Whole-genome sequencing

Identifiers

PMID35707124
PMCPMC9190667

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.