GAS‐J, a User‐Friendly Browser Application for Genome Assembly, <i>emm</i>‐Typing, MLST Typing, and Virulence Factor Gene Detection of <i>Streptococcus pyogenes</i>

Clinical isolates of Streptococcus pyogenes are usually classified using emm and multilocus sequence typing (MLST). Recently, whole genome sequencing (WGS) has been employed for emm typing and MLST analysis. WGS data provides additional information on the presence of virulence factor genes. To enable researchers unfamiliar with bioinformatics to analyze WGS data of S. pyogenes, we opened an online tool named GAS-J, which automatically outputs emm types, sequence types (STs), carriage of virulence factor genes, and phylogenetic trees. The tool accepts raw short-read data as inputs, since it includes the velvet assembler. In all isolates, the emm typing results from this tool were identical to those obtained by conventional PCR and Sanger sequencing, even in cases where isolates had pseudo-emm (emm-like) genes. STs are determined by performing a BLAST search using seven alleles as references. To detect S. pyogenes virulence factor genes, we prepared a new data set containing 620 related proteins. Users may choose which isolates to include in SNP-based phylogenetic tree from a pool of 406 isolates with epidemiological data. The data set includes isolates whose symptoms (STSS or non-STSS) were diagnosed based on the STSS criteria of the Japan Communicable Disease Prevention Law. GAS-J application is available at http://gasj.ncgm.go.jp. The data of isolates are going to be updated in the future.

Authors

Institutions

Publication Details

Journal
Microbiology and Immunology
Published
2025-04-20
DOI
https://doi.org/10.1111/1348-0421.13223
Citations
1
Primary Topic
Streptococcal Infections and Treatments
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GAS‐J, a User‐Friendly Browser Application for Genome Assembly, emm‐Typing, MLST Typing, and Virulence Factor Gene Detection of Streptococcus pyogenes

Yuan Gao, Takashi Hamabata, M. Yamaguchi, Shigetada Kawabata et al.
1 citations
Microbiology and Immunology
Streptococcal Infections and Treatments
1.88
article

GAS‐J, a User‐Friendly Browser Application for Genome Assembly, emm‐Typing, MLST Typing, and Virulence Factor Gene Detection of Streptococcus pyogenes

Yuan Gao, Takashi Hamabata, M. Yamaguchi, Shigetada Kawabata, Tadayoshi Ikebe, M. Ono, Norihiko Takemoto, Yujiro Hirose, Tohru Miyoshi‐Akiyama, Kohei Ogura, Rumi Okuno
article en
1 citations

Abstract

Clinical isolates of Streptococcus pyogenes are usually classified using emm and multilocus sequence typing (MLST). Recently, whole genome sequencing (WGS) has been employed for emm typing and MLST analysis. WGS data provides additional information on the presence of virulence factor genes. To enable researchers unfamiliar with bioinformatics to analyze WGS data of S. pyogenes, we opened an online tool named GAS-J, which automatically outputs emm types, sequence types (STs), carriage of virulence factor genes, and phylogenetic trees. The tool accepts raw short-read data as inputs, since it includes the velvet assembler. In all isolates, the emm typing results from this tool were identical to those obtained by conventional PCR and Sanger sequencing, even in cases where isolates had pseudo-emm (emm-like) genes. STs are determined by performing a BLAST search using seven alleles as references. To detect S. pyogenes virulence factor genes, we prepared a new data set containing 620 related proteins. Users may choose which isolates to include in SNP-based phylogenetic tree from a pool of 406 isolates with epidemiological data. The data set includes isolates whose symptoms (STSS or non-STSS) were diagnosed based on the STSS criteria of the Japan Communicable Disease Prevention Law. GAS-J application is available at http://gasj.ncgm.go.jp. The data of isolates are going to be updated in the future.

Microbiology and ImmunologyVol. 69(7)
Kyoto University (JP), National Institute of Infectious Diseases (JP), National Institute of Biomedical Innovation, Health and Nutrition (JP), National Center for Global Health and Medicine (JP), Tokyo Metropolitan Institute of Public Health (JP), The University of Osaka (JP)
Japan Agency for Medical Research and Development, National Center for Global Health and Medicine
Good health and well-being
Openalex Percentile: Top 17%
Streptococcal Infections and Treatments
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.