BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria

Author:

Wang Jiawei1ORCID,Li Jiahui123,Hou Yi3,Dai Wei13,Xie Ruopeng3,Marquez-Lago Tatiana T45,Leier André45,Zhou Tieli2,Torres Von1,Hay Iain6,Stubenrauch Christopher1,Zhang Yanju3ORCID,Song Jiangning789ORCID,Lithgow Trevor1ORCID

Affiliation:

1. Infection and Immunity Program, Biomedicine Discovery Institute and Department of Microbiology, Monash University, VIC 3800, Australia

2. Department of Clinical Laboratory, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China

3. School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China

4. Department of Genetics, School of Medicine, University of Alabama at Birmingham, AL, USA

5. Department of Cell, Developmental and Integrative Biology, School of Medicine, University of Alabama at Birmingham, AL, USA

6. School of Biological Sciences, The University of Auckland, Auckland 1010, New Zealand

7. Monash Centre for Data Science, Faculty of Information Technology, Monash University, VIC 3800, Australia

8. Infection and Immunity Program, Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University, VIC 3800, Australia

9. ARC Centre of Excellence in Advanced Molecular Imaging, Monash University, VIC 3800, Australia

Abstract

Abstract Gram-negative bacteria utilize secretion systems to export substrates into their surrounding environment or directly into neighboring cells. These substrates are proteins that function to promote bacterial survival: by facilitating nutrient collection, disabling competitor species or, for pathogens, to disable host defenses. Following a rapid development of computational techniques, a growing number of substrates have been discovered and subsequently validated by wet lab experiments. To date, several online databases have been developed to catalogue these substrates but they have limited user options for in-depth analysis, and typically focus on a single type of secreted substrate. We therefore developed a universal platform, BastionHub, that incorporates extensive functional modules to facilitate substrate analysis and integrates the five major Gram-negative secreted substrate types (i.e. from types I–IV and VI secretion systems). To our knowledge, BastionHub is not only the most comprehensive online database available, it is also the first to incorporate substrates secreted by type I or type II secretion systems. By providing the most up-to-date details of secreted substrates and state-of-the-art prediction and visualized relationship analysis tools, BastionHub will be an important platform that can assist biologists in uncovering novel substrates and formulating new hypotheses. BastionHub is freely available at http://bastionhub.erc.monash.edu/.

Funder

National Health and Medical Research Council

Monash University

Publisher

Oxford University Press (OUP)

Subject

Genetics

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