Whole-genome sequencing data of Corynebacterium diphtheriae isolated from diphtheria outbreaks in Indonesia
Vivi Setiawaty,
Nelly Puspandari,
Ratih Dian Saraswati,
Dwi Febriyana,
Tati Febrianti,
Yuni Rukminiati,
Fauzul Muna,
Fitriana Fitriana,
Dodi Safari,
Rahadian Pratama,
Lisa Andriani Lienggonegoro,
Sunarno Sunarno
Affiliations
Vivi Setiawaty
National Referal Infectious Diseases Hospital Prof. Dr. Sulianti Saroso, Jakarta, Indonesia; Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia
Nelly Puspandari
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Ratih Dian Saraswati
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Dwi Febriyana
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Tati Febrianti
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Yuni Rukminiati
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Fauzul Muna
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; Centre for Health Reselience and Resource Policy, Health Policy Agency, Jakarta, Indonesia
Fitriana Fitriana
National Research and Innovation Agency (BRIN), Jakarta, Indonesia
Dodi Safari
National Research and Innovation Agency (BRIN), Jakarta, Indonesia
Rahadian Pratama
Department of Biochemistry, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB University), Bogor, Indonesia
Lisa Andriani Lienggonegoro
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; National Research and Innovation Agency (BRIN), Jakarta, Indonesia
Sunarno Sunarno
Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia; National Research and Innovation Agency (BRIN), Jakarta, Indonesia; Corresponding author at: Centre for Research and Development of Biomedical and Basic Health Technology, National Institute of Health Research and Development (NIHRD), Ministry of Health, Jakarta, Indonesia.
Corynebacterium diphtheriae (C. diphtheriae) is the causative agent of diphtheria. The main virulence factor of C. diphtheriae is diphtheria toxin, which is encoded by the tox gene and regulated by the dtxR gene. The tox and dtxR genes are used as genetic markers to identify bacteria causing diphtheria by PCR. Here, we present the whole-genome sequencing (WGS) data of 18 C. diphtheriae isolates from diphtheria outbreaks in different regions in Indonesia. We used these data to identify single nucleotide polymorphisms (SNPs) associated with the tox and dtxR genes to verify the accuracy of the PCR assay and performed molecular typing with a multilocus sequence typing (MLST) approach. The data can be used for further analyses, such as antimicrobial resistance and bacterial virulence factors.
