A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of Streptococcus pyogenes

Hirose, Yujiro; Zielinski, Daniel C.; Poudel, Saugat et al.

mSystems, 2024, 9(9)

Number of Access:1,021（2025-08-14 01:17 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/98262

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Title
A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of Streptococcus pyogenes
Creator
NRID
1000090788407 1000090788407
ORCID
0000-0001-6338-4767 0000-0001-6338-4767
researchmap permalink
YujiroHirose YujiroHirose
Scopus Author ID
56816348400 56816348400
CreatorName
Hirose, Yujiro
CreatorName
Zielinski, Daniel C.
CreatorName
Poudel, Saugat
CreatorName
Rychel, Kevin
CreatorName
Baker, Jonathon L.
NRID
1000070582162 1000070582162
ORCID
0000-0001-9670-6961 0000-0001-9670-6961
researchmap permalink
ytoya ytoya
Scopus Author ID
34572737200 34572737200
CreatorName
Toya, Yoshihiro
NRID
1000000714536 1000000714536
ORCID
0000-0001-6218-7112 0000-0001-6218-7112
researchmap permalink
MasayaYamaguchi MasayaYamaguchi
Scopus Author ID
16074710900 16074710900
CreatorName
Yamaguchi, Masaya
CreatorName
Heinken, Almut
CreatorName
Thiele, Ines
NRID
1000050273694 1000050273694
researchmap permalink
read0185239 read0185239
Scopus Author ID
7201354003 7201354003
CreatorName
Kawabata, Shigetada
CreatorName
Palsson, Bernhard O.
CreatorName
Nizet, Victor
Subject
auxotrophy
carbon sources
essential gene
genome-scale model
metabolic modeling
Streptococcus pyogenes
Description
Hirose Y., Zielinski D.C., Poudel S., et al. A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of Streptococcus pyogenes. mSystems 9, (2024); https://doi.org/10.1128/msystems.00736-24.
Abstract
Streptococcus pyogenes is responsible for a range of diseases in humans contributing significantly to morbidity and mortality. Among more than 200 serotypes of S. pyogenes, serotype M1 strains hold the greatest clinical relevance due to their high prevalence in severe human infections. To enhance our understanding of pathogenesis and discovery of potential therapeutic approaches, we have developed the first genome-scale metabolic model (GEM) for a serotype M1 S. pyogenes strain, which we name iYH543. The curation of iYH543 involved cross-referencing a draft GEM of S. pyogenes serotype M1 from the AGORA2 database with gene essentiality and autotrophy data obtained from transposon mutagenesis-based and growth screens. We achieved a 92.6% (503/543 genes) accuracy in predicting gene essentiality and a 95% (19/20 amino acids) accuracy in predicting amino acid auxotrophy. Additionally, Biolog Phenotype microarrays were employed to examine the growth phenotypes of S. pyogenes, which further contributed to the refinement of iYH543. Notably, iYH543 demonstrated 88% accuracy (168/190 carbon sources) in predicting growth on various sole carbon sources. Discrepancies observed between iYH543 and the actual behavior of living S. pyogenes highlighted areas of uncertainty in the current understanding of S. pyogenes metabolism. iYH543 offers novel insights and hypotheses that can guide future research efforts and ultimately inform novel therapeutic strategies.
Publisher
American Society for Microbiology
Source Title
mSystems
Volume (Issue)
9(9)
Date of Issued
2024-09-17
Language
English
Handle URL
https://hdl.handle.net/11094/98262
eISSN
23795077
Relation.isIdenticalTo
DOI (Publisher Version)
https://doi.org/10.1128/msystems.00736-24
Access Rights
open access
CopyRight
This article is licensed under a Creative Commons Attribution 4.0 International License.
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Category
学術雑誌論文 Journal Article