Protein secretion systems play a key role in the interaction of bacteria and hosts. EffectiveDB (http://effectivedb.org) contains pre-calculated predictions of bacterial secreted proteins and of intact secretion systems. Here we describe a major update of the database, which was previously featured in the NAR Database Issue. EffectiveDB bundles various tools to recognize Type III secretion signals, conserved binding sites of Type III chaperones, Type IV secretion peptides, eukaryotic-like domains and subcellular targeting signals in the host. Beyond the analysis of arbitrary protein sequence collections, the new release of EffectiveDB also provides a ‘genome-mode’, in which protein sequences from nearly complete genomes or metagenomic bins can be screened for the presence of three important secretion systems (Type III, IV, VI). EffectiveDB contains pre-calculated predictions for currently 1677 bacterial genomes from the EggNOG 4.0 database and for additional bacterial genomes from NCBI RefSeq. The new, user-friendly and informative web portal offers a submission tool for running the EffectiveDB prediction tools on user-provided data.

SummaryIn preparation for transfer conjugative type IV secretion systems (T4SS) produce a nucleoprotein adduct containing a relaxase enzyme covalently linked to the 5Ј end of single-stranded plasmid DNA. The bound relaxase is expected to present features necessary for selective recognition by the type IV coupling protein (T4CP), which controls substrate entry to the envelope spanning secretion machinery. We prove that the IncF plasmid R1 relaxase TraI is translocated to the recipient cells. Using a Cre recombinase assay (CRAfT) we mapped two internally positioned translocation signals (TS) on F-like TraI proteins that independently mediate efficient recognition and secretion. Tertiary structure predictions for the TS matched best helicase RecD2 from Deinococcus radiodurans. The TS is widely conserved in MOB F and MOBQ families of relaxases. Structure/function relationships within the TS were identified by mutation. A key residue in specific recognition by T4CP TraD was revealed by a fidelity switch phenotype for an F to plasmid R1 exchange L626H mutation. Finally, we show that physical linkage of the relaxase catalytic domain to a TraI TS is necessary for efficient conjugative transfer.

Motivation: Functional genomics research has expanded enormously in the last decade thanks to the cost reduction in high-throughput technologies and the development of computational tools that generate, standardize and share information on gene and protein function such as the Gene Ontology (GO). Nevertheless, many biologists, especially working with non-model organisms, still suffer from non-existing or low-coverage functional annotation, or simply struggle retrieving, summarizing and querying these data.Results: The Blast2GO Functional Annotation Repository (B2G-FAR) is a bioinformatics resource envisaged to provide functional information for otherwise uncharacterized sequence data and offers data mining tools to analyze a larger repertoire of species than currently available. This new annotation resource has been created by applying the Blast2GO functional annotation engine in a strongly high-throughput manner to the entire space of public available sequences. The resulting repository contains GO term predictions for over 13.2 million non-redundant protein sequences based on BLAST search alignments from the SIMAP database. We generated GO annotation for approximately 150 000 different taxa making available 2000 species with the highest coverage through B2G-FAR. A second section within B2G-FAR holds functional annotations for 17 non-model organism Affymetrix GeneChips.Conclusions: B2G-FAR provides easy access to exhaustive functional annotation for 2000 species offering a good balance between quality and quantity, thereby supporting functional genomics research especially in the case of non-model organisms.Availability: The annotation resource is available at http://www.b2gfar.org.Contact: aconesa@cipf.es; sgoetz@cipf.esSupplementary information: Supplementary data are available at Bioinformatics online.