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Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems.

ABSTRACT: The type III secretion system is an essential component for virulence in many Gram-negative bacteria. Though components of the secretion system apparatus are conserved, its substrates--effector proteins--are not. We have used a novel computational approach to confidently identify new secreted effectors by integrating protein sequence-based features, including evolutionary measures such as the pattern of homologs in a range of other organisms, G+C content, amino acid composition, and the N-terminal 30 residues of the protein sequence. The method was trained on known effectors from the plant pathogen Pseudomonas syringae and validated on a set of effectors from the animal pathogen Salmonella enterica serovar Typhimurium (S. Typhimurium) after eliminating effectors with detectable sequence similarity. We show that this approach can predict known secreted effectors with high specificity and sensitivity. Furthermore, by considering a large set of effectors from multiple organisms, we computationally identify a common putative secretion signal in the N-terminal 20 residues of secreted effectors. This signal can be used to discriminate 46 out of 68 total known effectors from both organisms, suggesting that it is a real, shared signal applicable to many type III secreted effectors. We use the method to make novel predictions of secreted effectors in S. Typhimurium, some of which have been experimentally validated. We also apply the method to predict secreted effectors in the genetically intractable human pathogen Chlamydia trachomatis, identifying the majority of known secreted proteins in addition to providing a number of novel predictions. This approach provides a new way to identify secreted effectors in a broad range of pathogenic bacteria for further experimental characterization and provides insight into the nature of the type III secretion signal.

SUBMITTER: Samudrala R

PROVIDER: S-EPMC2668754 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

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Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems.

Samudrala Ram R Heffron Fred F McDermott Jason E JE

PLoS pathogens 20090424 4

The type III secretion system is an essential component for virulence in many Gram-negative bacteria. Though components of the secretion system apparatus are conserved, its substrates--effector proteins--are not. We have used a novel computational approach to confidently identify new secreted effectors by integrating protein sequence-based features, including evolutionary measures such as the pattern of homologs in a range of other organisms, G+C content, amino acid composition, and the N-termin ...[more]

PMID: 19390620

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Project description:Xanthomonas translucens is the causal agent of bacterial leaf streak, the most common bacterial disease of wheat and barley. To cause disease, most xanthomonads depend on a highly conserved type III secretion system, which translocates type III effectors into host plant cells. Mutagenesis of the conserved type III secretion gene hrcT confirmed that the X. translucens type III secretion system is required to cause disease on the host plant barley and to trigger a non-host hypersensitive response (HR) in pepper leaves. Type III effectors are delivered to the host cell by a surface appendage, the Hrp pilus, and a translocon protein complex that inserts into the plant cell plasma membrane. Homologs of the Xanthomonas HrpF protein, including PopF from Ralstonia solanacearum and NolX from rhizobia, are thought to act as a translocon protein. Comparative genomics revealed that X. translucens strains harbor a noncanonical hrp gene cluster, which rather shares features with type III secretion systems from Ralstonia solanacearum, Paraburkholderia andropogonis, Collimonas fungivorans, and Uliginosibacterium gangwonense than other Xanthomonas spp. Surprisingly, none of these bacteria, except R. solanacearum, encode a homolog of the HrpF translocon. Here, we aimed at identifying a candidate translocon from X. translucens. Notably, genomes from strains that lacked hrpF/popF/nolX instead encode another gene, called hpaT, adjacent to and co-regulated with the type III secretion system gene cluster. An insertional mutant in the X. translucens hpaT gene, which is the first gene of a two-gene operon, hpaT-hpaH, was non-pathogenic on barley and did not cause the HR or programmed cell death in non-host pepper similar to the hrcT mutant. The hpaT mutant phenotypes were partially complemented by either hpaT or the downstream gene, hpaH, which has been described as a facilitator of translocation in Xanthomonas oryzae. Interestingly, the hpaT mutant was also complemented by the hrpF gene from Xanthomonas euvesicatoria. These findings reveal that both HpaT and HpaH contribute to the injection of type III effectors into plant cells.

Project description:The type III secretion system (TTSS) is a key mechanism for host cell interaction used by a variety of bacterial pathogens and symbionts of plants and animals including humans. The TTSS represents a molecular syringe with which the bacteria deliver effector proteins directly into the host cell cytosol. Despite the importance of the TTSS for bacterial pathogenesis, recognition and targeting of type III secreted proteins has up until now been poorly understood. Several hypotheses are discussed, including an mRNA-based signal, a chaperon-mediated process, or an N-terminal signal peptide. In this study, we systematically analyzed the amino acid composition and secondary structure of N-termini of 100 experimentally verified effector proteins. Based on this, we developed a machine-learning approach for the prediction of TTSS effector proteins, taking into account N-terminal sequence features such as frequencies of amino acids, short peptides, or residues with certain physico-chemical properties. The resulting computational model revealed a strong type III secretion signal in the N-terminus that can be used to detect effectors with sensitivity of approximately 71% and selectivity of approximately 85%. This signal seems to be taxonomically universal and conserved among animal pathogens and plant symbionts, since we could successfully detect effector proteins if the respective group was excluded from training. The application of our prediction approach to 739 complete bacterial and archaeal genome sequences resulted in the identification of between 0% and 12% putative TTSS effector proteins. Comparison of effector proteins with orthologs that are not secreted by the TTSS showed no clear pattern of signal acquisition by fusion, suggesting convergent evolutionary processes shaping the type III secretion signal. The newly developed program EffectiveT3 (http://www.chlamydiaedb.org) is the first universal in silico prediction program for the identification of novel TTSS effectors. Our findings will facilitate further studies on and improve our understanding of type III secretion and its role in pathogen-host interactions.

Project description:Pathogenic Yersinia spp. secrete Yop proteins via the type III pathway. yopQ codons 1 to 15 were identified as a signal necessary and sufficient for the secretion of a fused reporter protein. Frameshift mutations that alter codons 2 to 15 with little alteration of yopQ mRNA sequence do not abolish type III transport, suggesting a model in which yopQ mRNA may provide a signal for secretion (D. M. Anderson and O. Schneewind, Mol. Microbiol. 31:1139-1148, 2001). In a recent study, the yopE signal was truncated to codons 1 to 12. All frameshift mutations introduced within the first 12 codons of yopE abolished secretion. Also, multiple synonymous mutations that changed the mRNA sequence of yopE codons 1 to 12 without altering the amino acid sequence did not affect secretion. These results favor a model whereby an N-terminal signal peptide initiates YopE into the type III pathway (S. A. Lloyd et al., Mol. Microbiol. 39:520-531, 2001). It is reported here that codons 1 to 10 of yopQ act as a minimal secretion signal. Further truncation of yopQ, either at codon 10 or at codon 2, abolished secretion. Replacement of yopQ AUG with either of two other start codons, UUG or GUG, did not affect secretion. However, replacement of AUG with CUG or AAA and initiating translation at the fusion site with npt did not permit Npt secretion, suggesting that the translation of yopQ codons 1 to 15 is a prerequisite for secretion. Frameshift mutations of yopQ codons 1 to 10, 1 to 11, and 1 to 12 abolished secretion signaling, whereas frameshift mutations of yopQ codons 1 to 13, 1 to 14, and 1 to 15 did not. Codon changes at yopQ positions 2 and 10 affected secretion signaling when placed within the first 10 codons but had no effect when positioned in the larger fusion of yopQ codons 1 to 15. An mRNA mutant of yopQ codons 1 to 10, generated by a combination of nine synonymous mutations, was defective in secretion signaling, suggesting that the YopQ secretion signal is not proteinaceous. A model is discussed whereby the initiation of YopQ polypeptide into the type III pathway is controlled by properties of yopQ mRNA.

Dataset Information

Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems.

Publications

Accurate prediction of secreted substrates and identification of a conserved putative secretion signal for type III secretion systems.

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