Multilayered networks of SalmoNet2 enable strain comparisons of the salmonella genus on a molecular level
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Published version
Author(s)
Type
Journal Article
Abstract
Serovars of the genus Salmonella primarily evolved as gastrointestinal pathogens in a wide range of hosts. Some serotypes later evolved further, adopting a more invasive lifestyle in a narrower host range associated with systemic infections. A system-level knowledge of these pathogens could identify the complex adaptations associated with the evolution of serovars with distinct pathogenicity, host range, and risk to human health. This promises to aid the design of interventions and serve as a knowledge base in the Salmonella research community. Here, we present SalmoNet2, a major update to SalmoNet1, the first multilayered interaction resource for Salmonella strains, containing protein-protein, transcriptional regulatory, and enzyme-enzyme interactions. The new version extends the number of Salmonella networks from 11 to 20. We now include a strain from the second species in the Salmonella genus, a strain from the Salmonella enterica subspecies arizonae and additional strains of importance from the subspecies enterica, including S. Typhimurium strain D23580, an epidemic multidrug-resistant strain associated with invasive nontyphoidal salmonellosis (iNTS). The database now uses strain specific metabolic models instead of a generalized model to highlight differences between strains. The update has increased the coverage of high-quality protein-protein interactions, and enhanced interoperability with other computational resources by adopting standardized formats. The resource website has been updated with tutorials to help researchers analyze their Salmonella data using molecular interaction networks from SalmoNet2. SalmoNet2 is accessible at http://salmonet.org/.
Date Issued
2022-08-01
Date Acceptance
2022-07-13
Citation
mSystems, 2022, 7 (4)
ISSN
2379-5077
Publisher
American Society for Microbiology
Journal / Book Title
mSystems
Volume
7
Issue
4
Copyright Statement
© 2022 Olbei et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000835283800002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Microbiology
host adaptation
Salmonella
global regulatory networks
network resource
protein-protein interactions
INVASIVE DISEASE
OMA ORTHOLOGY
VIRCHOW
HOST
VISUALIZATION
ANNOTATION
DATABASE
ILLNESS
INTACT
Publication Status
Published