SecReT6: a web‐based resource for type VI secretion systems found in bacteria

Abstract

SecReT6 (http://db‐mml.sjtu.edu.cn/SecReT6/) is an integrated database providing comprehensive information on type VI secretion systems (T6SSs) in bacteria. T6SSs are a class of sophisticated cell contact‐dependent apparatuses involved in mediating antagonistic or synergistic communications between bacteria and/or bacteria and eukaryotes. These apparatuses have recently been found to be widely distributed among Gram‐negative bacterial species. SecReT6 offers a unique, readily explorable archive of known and putative T6SSs, and cognate effectors found in bacteria. It currently contains data on 11 167 core T6SS components mapping to 906 T6SSs found in 498 bacterial strains representing 240 species, as well as a collection of over 600 directly relevant references. Also collated and archived were 1340 diverse candidate secreted effectors which were experimentally shown and/or predicted to be delivered by T6SSs into target eukaryotic and/or prokaryotic cells as well as 196 immunity proteins. A broad range of T6SS gene cluster detection and comparative analysis tools are readily accessible via SecReT6, which may aid identification of effectors and immunity proteins around the T6SS core components. This database will be regularly updated to ensure its ongoing maximal utility and relevance to the scientific research community.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 01, 2015
Source ID
10.1111/1462-2920.12794

Entities

People

  • H Howard Xu
  • Hong‐yu Ou
  • Jun Li
  • Kumar Rajakumar
  • Limin Hao
  • Yufeng Yao
  • Zixin Deng

Organizations

  • Army Research Office
  • California State University
  • National Natural Science Foundation of China
  • Shanghai Jiao Tong University
  • United States Department of Homeland Security
  • University of Leicester

Tags

Fields of Study

  • Biology
  • Environmental science

Readers

  • Computer Programming and Software Development.
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Microbial Pathology