ICEberg 2.0 (http://db-mml.sjtu.edu.cn/ICEberg/) is an updated database that provides comprehensive information about bacterial integrative and conjugative elements (ICEs). Compared with the previous version, three major improvements were made. First, with the aid of text mining and manual curation, it now recorded the details of 1032 ICEs, including 270 with experimental supports and 762 from bioinformatics prediction. Second, as increasing evidence has shown that ICEs frequently mobilize the so-called ‘hitchhikers’, such as integrative and mobilizable elements (IMEs) and cis-mobilizable elements (CIMEs), 83 known transfer interactions between 49 IMEs and 7 CIMEs with 19 ICEs taken from the literature were included and illustrated with visually intuitive directed graphs. An expanded collection of 260 chromosome-borne IMEs and 235 CIMEs was also added. At last, ICEberg 2.0 provides an online tool ICEfinder to predict ICEs or IMEs in bacterial genome sequences. It combines a similarity search for the integrase, relaxase and/or type IV secretion system and the co-localization of these corresponding homologous genes. With the recent updates, ICEberg 2.0 might provide better support for understanding the biological traits of ICEs, especially as their interaction with cognate mobilizable elements may further promote horizontal gene flow.

OriTfinder is a web server that facilitates the rapid identification of the origin of transfer site (oriT) of a conjugative plasmid or chromosome-borne integrative and conjugative element. The utilized back-end database oriTDB was built upon more than one thousand known oriT regions of bacterial mobile genetic elements (MGEs) as well as the known MGE-encoding relaxases and type IV coupling proteins (T4CP). With a combination of similarity searches for the oriTDB-archived oriT nucleotide sequences and the co-localization of the flanking relaxase homologous genes, the oriTfinder can predict the oriT region with high accuracy in the DNA sequence of a bacterial plasmid or chromosome in minutes. The server also detects the other transfer-related modules, including the potential relaxase gene, T4CP gene and the type IV secretion system gene cluster, and the putative genes coding for virulence factors and acquired antibiotic resistance determinants. oriTfinder may contribute to meeting the increasing demands of re-annotations for bacterial conjugative, mobilizable or non-transferable elements and aid in the rapid risk accession of disease-relevant trait dissemination in pathogenic bacteria of interest. oriTfinder is freely available to all users without any login requirement at http://bioinfo-mml.sjtu.edu.cn/oriTfinder.

TADB ( http://bioinfo-mml.sjtu.edu.cn/TADB/ ) is an integrated database that provides comprehensive information about Type 2 toxin–antitoxin (TA) loci, genetic features that are richly distributed throughout bacterial and archaeal genomes. Two-gene and much less frequently three-gene Type 2 TA loci code for cognate partners that have been hypothesized or demonstrated to play key roles in stress response, bacterial physiology and stabilization of horizontally acquired genetic elements. TADB offers a unique compilation of both predicted and experimentally supported Type 2 TA loci-relevant data and currently contains 10 753 Type 2 TA gene pairs identified within 1240 prokaryotic genomes, and details of over 240 directly relevant scientific publications. A broad range of similarity search, sequence alignment, genome context browser and phylogenetic tools are readily accessible via TADB. We propose that TADB will facilitate efficient, multi-disciplinary and innovative exploration of the bacteria and archaea Type 2 TA space, better defining presently recognized TA-related phenomena and potentially even leading to yet-to-be envisaged frontiers. The TADB database, envisaged as a one-stop shop for Type 2 TA-related research, will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community.

TADB2.0 (http://bioinfo-mml.sjtu.edu.cn/TADB2/) is an updated database that provides comprehensive information about bacterial type II toxin–antitoxin (TA) loci. Compared with the previous version, the database refined and the new data schema is employed. With the aid of text mining and manual curation, it recorded 6193 type II TA loci in 870 replicons of bacteria and archaea, including 105 experimentally validated TA loci. In addition, the newly developed tool TAfinder combines the homolog searches and the operon structure detection, allowing the prediction for type II TA pairs in bacterial genome sequences. It also helps to investigate the genomic context of predicted TA loci for putative virulence factors, antimicrobial resistance determinants and mobile genetic elements via alignments to the specific public databases. Additionally, the module TAfinder-Compare allows comparing the presence of the given TA loci across the close relative genomes. With the recent updates, TADB2.0 might provide better support for understanding the important roles of type II TA systems in the prokaryotic life activities.

ICEberg (http://db-mml.sjtu.edu.cn/ICEberg/) is an integrated database that provides comprehensive information about integrative and conjugative elements (ICEs) found in bacteria. ICEs are conjugative self-transmissible elements that can integrate into and excise from a host chromosome. An ICE contains three typical modules, integration and excision, conjugation, and regulation modules, that collectively promote vertical inheritance and periodic lateral gene flow. Many ICEs carry likely virulence determinants, antibiotic-resistant factors and/or genes coding for other beneficial traits. ICEberg offers a unique, highly organized, readily explorable archive of both predicted and experimentally supported ICE-relevant data. It currently contains details of 428 ICEs found in representatives of 124 bacterial species, and a collection of >400 directly related references. A broad range of similarity search, sequence alignment, genome context browser, phylogenetic and other functional analysis tools are readily accessible via ICEberg. We propose that ICEberg will facilitate efficient, multi-disciplinary and innovative exploration of bacterial ICEs and be of particular interest to researchers in the broad fields of prokaryotic evolution, pathogenesis, biotechnology and metabolism. The ICEberg database will be maintained, updated and improved regularly to ensure its ongoing maximum utility to the research community.