ICEberg 3.0: functional categorization and analysis of the integrative and conjugative elements in bacteria

Author:

Wang Meng1ORCID,Liu Guitian1,Liu Meng1,Tai Cui1,Deng Zixin1,Song Jiangning23ORCID,Ou Hong-Yu1ORCID

Affiliation:

1. State Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University , Shanghai  200030 , China

2. Biomedicine Discovery Institute and Department of Biochemistry and Molecular Biology, Monash University , Melbourne , VIC  3800 , Australia

3. Monash Data Futures Institute, Monash University , Melbourne , VIC  3800 , Australia

Abstract

Abstract ICEberg 3.0 (https://tool2-mml.sjtu.edu.cn/ICEberg3/) is an upgraded database that provides comprehensive insights into bacterial integrative and conjugative elements (ICEs). In comparison to the previous version, three key enhancements were introduced: First, through text mining and manual curation, it now encompasses details of 2065 ICEs, 607 IMEs and 275 CIMEs, including 430 with experimental support. Secondly, ICEberg 3.0 systematically categorizes cargo gene functions of ICEs into six groups based on literature curation and predictive analysis, providing a profound understanding of ICEs’diverse biological traits. The cargo gene prediction pipeline is integrated into the online tool ICEfinder 2.0. Finally, ICEberg 3.0 aids the analysis and exploration of ICEs from the human microbiome. Extracted and manually curated from 2405 distinct human microbiome samples, the database comprises 1386 putative ICEs, offering insights into the complex dynamics of Bacteria-ICE-Cargo networks within the human microbiome. With the recent updates, ICEberg 3.0 enhances its capability to unravel the intricacies of ICE biology, particularly in the characterization and understanding of cargo gene functions and ICE interactions within the microbiome. This enhancement may facilitate the investigation of the dynamic landscape of ICE biology and its implications for microbial communities.

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Oxford University Press (OUP)

Subject

Genetics

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