TY - JOUR A1 - Wheeler, Nicole E. A1 - Barquist, Lars A1 - Kingsley, Robert A. A1 - Gardner, Paul P. T1 - A profile-based method for identifying functional divergence of orthologous genes in bacterial genomes JF - Bioinformatics N2 - Motivation: Next generation sequencing technologies have provided us with a wealth of information on genetic variation, but predi cting the functional significance of this variation is a difficult task. While many comparative genomics studies have focused on gene flux and large scale changes, relatively little attention has been paid to quantifying the effects of single nucleotide polymorphisms and indels on protein function, particularly in bacterial genomics. Results: We present a hidden Markov model based approach we call delta-bitscore (DBS) for identifying orthologous proteins that have diverged at the amino acid sequence level in a way that is likely to impact biological function. We benchmark this approach with several widely used datasets and apply it to a proof-of-concept study of orthologous proteomes in an investigation of host adaptation in Salmonella enterica. We highlight the value of the method in identifying functional divergence of genes, and suggest that this tool may be a better approach than the commonly used dN/dS metric for identifying functionally significant genetic changes occurring in recently diverged organisms. KW - Host adaptation KW - Salmonella-enteritidis KW - Sequence identity KW - Rapid evolution KW - Variants KW - Cystic-fibriosis KW - Strains KW - Pathogenicity KW - Typhimurium KW - Yersinia Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-186502 VL - 32 IS - 23 ER - TY - JOUR A1 - Jiang, Yuxiang A1 - Oron, Tal Ronnen A1 - Clark, Wyatt T. A1 - Bankapur, Asma R. A1 - D'Andrea, Daniel A1 - Lepore, Rosalba A1 - Funk, Christopher S. A1 - Kahanda, Indika A1 - Verspoor, Karin M. A1 - Ben-Hur, Asa A1 - Koo, Da Chen Emily A1 - Penfold-Brown, Duncan A1 - Shasha, Dennis A1 - Youngs, Noah A1 - Bonneau, Richard A1 - Lin, Alexandra A1 - Sahraeian, Sayed M. E. A1 - Martelli, Pier Luigi A1 - Profiti, Giuseppe A1 - Casadio, Rita A1 - Cao, Renzhi A1 - Zhong, Zhaolong A1 - Cheng, Jianlin A1 - Altenhoff, Adrian A1 - Skunca, Nives A1 - Dessimoz, Christophe A1 - Dogan, Tunca A1 - Hakala, Kai A1 - Kaewphan, Suwisa A1 - Mehryary, Farrokh A1 - Salakoski, Tapio A1 - Ginter, Filip A1 - Fang, Hai A1 - Smithers, Ben A1 - Oates, Matt A1 - Gough, Julian A1 - Törönen, Petri A1 - Koskinen, Patrik A1 - Holm, Liisa A1 - Chen, Ching-Tai A1 - Hsu, Wen-Lian A1 - Bryson, Kevin A1 - Cozzetto, Domenico A1 - Minneci, Federico A1 - Jones, David T. A1 - Chapman, Samuel A1 - BKC, Dukka A1 - Khan, Ishita K. A1 - Kihara, Daisuke A1 - Ofer, Dan A1 - Rappoport, Nadav A1 - Stern, Amos A1 - Cibrian-Uhalte, Elena A1 - Denny, Paul A1 - Foulger, Rebecca E. A1 - Hieta, Reija A1 - Legge, Duncan A1 - Lovering, Ruth C. A1 - Magrane, Michele A1 - Melidoni, Anna N. A1 - Mutowo-Meullenet, Prudence A1 - Pichler, Klemens A1 - Shypitsyna, Aleksandra A1 - Li, Biao A1 - Zakeri, Pooya A1 - ElShal, Sarah A1 - Tranchevent, Léon-Charles A1 - Das, Sayoni A1 - Dawson, Natalie L. A1 - Lee, David A1 - Lees, Jonathan G. A1 - Sillitoe, Ian A1 - Bhat, Prajwal A1 - Nepusz, Tamás A1 - Romero, Alfonso E. A1 - Sasidharan, Rajkumar A1 - Yang, Haixuan A1 - Paccanaro, Alberto A1 - Gillis, Jesse A1 - Sedeño-Cortés, Adriana E. A1 - Pavlidis, Paul A1 - Feng, Shou A1 - Cejuela, Juan M. A1 - Goldberg, Tatyana A1 - Hamp, Tobias A1 - Richter, Lothar A1 - Salamov, Asaf A1 - Gabaldon, Toni A1 - Marcet-Houben, Marina A1 - Supek, Fran A1 - Gong, Qingtian A1 - Ning, Wei A1 - Zhou, Yuanpeng A1 - Tian, Weidong A1 - Falda, Marco A1 - Fontana, Paolo A1 - Lavezzo, Enrico A1 - Toppo, Stefano A1 - Ferrari, Carlo A1 - Giollo, Manuel A1 - Piovesan, Damiano A1 - Tosatto, Silvio C. E. A1 - del Pozo, Angela A1 - Fernández, José M. A1 - Maietta, Paolo A1 - Valencia, Alfonso A1 - Tress, Michael L. A1 - Benso, Alfredo A1 - Di Carlo, Stefano A1 - Politano, Gianfranco A1 - Savino, Alessandro A1 - Rehman, Hafeez Ur A1 - Re, Matteo A1 - Mesiti, Marco A1 - Valentini, Giorgio A1 - Bargsten, Joachim W. A1 - van Dijk, Aalt D. J. A1 - Gemovic, Branislava A1 - Glisic, Sanja A1 - Perovic, Vladmir A1 - Veljkovic, Veljko A1 - Almeida-e-Silva, Danillo C. A1 - Vencio, Ricardo Z. N. A1 - Sharan, Malvika A1 - Vogel, Jörg A1 - Kansakar, Lakesh A1 - Zhang, Shanshan A1 - Vucetic, Slobodan A1 - Wang, Zheng A1 - Sternberg, Michael J. E. A1 - Wass, Mark N. A1 - Huntley, Rachael P. A1 - Martin, Maria J. A1 - O'Donovan, Claire A1 - Robinson, Peter N. A1 - Moreau, Yves A1 - Tramontano, Anna A1 - Babbitt, Patricia C. A1 - Brenner, Steven E. A1 - Linial, Michal A1 - Orengo, Christine A. A1 - Rost, Burkhard A1 - Greene, Casey S. A1 - Mooney, Sean D. A1 - Friedberg, Iddo A1 - Radivojac, Predrag A1 - Veljkovic, Nevena T1 - An expanded evaluation of protein function prediction methods shows an improvement in accuracy JF - Genome Biology N2 - Background A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent. KW - Protein function prediction KW - Disease gene prioritization Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166293 VL - 17 IS - 184 ER - TY - JOUR A1 - Müller, Anna A. A1 - Dolowschiak, Tamas A1 - Sellin, Mikael E. A1 - Felmy, Boas A1 - Verbree, Carolin A1 - Gadient, Sandra A1 - Westermann, Alexander J. A1 - Vogel, Jörg A1 - LeibundGut-Landmann, Salome A1 - Hardt, Wolf-Dietrich T1 - An NK Cell Perforin Response Elicited via IL-18 Controls Mucosal Inflammation Kinetics during Salmonella Gut Infection JF - PLoS Pathogens N2 - Salmonella Typhimurium (S.Tm) is a common cause of self-limiting diarrhea. The mucosal inflammation is thought to arise from a standoff between the pathogen's virulence factors and the host's mucosal innate immune defenses, particularly the mucosal NAIP/NLRC4 inflammasome. However, it had remained unclear how this switches the gut from homeostasis to inflammation. This was studied using the streptomycin mouse model. S.Tm infections in knockout mice, cytokine inhibition and –injection experiments revealed that caspase-1 (not -11) dependent IL-18 is pivotal for inducing acute inflammation. IL-18 boosted NK cell chemoattractants and enhanced the NK cells' migratory capacity, thus promoting mucosal accumulation of mature, activated NK cells. NK cell depletion and Prf\(^{-/-}\) ablation (but not granulocyte-depletion or T-cell deficiency) delayed tissue inflammation. Our data suggest an NK cell perforin response as one limiting factor in mounting gut mucosal inflammation. Thus, IL-18-elicited NK cell perforin responses seem to be critical for coordinating mucosal inflammation during early infection, when S.Tm strongly relies on virulence factors detectable by the inflammasome. This may have broad relevance for mucosal defense against microbial pathogens. KW - NK cells KW - Salmonella Typhimurium KW - mucosal inflammation KW - diarrhea Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167429 VL - 12 IS - 6 ER - TY - JOUR A1 - Dingemans, Josef A1 - Monsieurs, Pieter A1 - Yu, Sung-Huan A1 - Crabbé, Aurélie A1 - Förstner, Konrad U. A1 - Malfroot, Anne A1 - Cornelis, Pierre A1 - Van Houdt, Rob T1 - Effect of Shear Stress on Pseudomonas aeruginosa Isolated from the Cystic Fibrosis Lung JF - mBio N2 - Chronic colonization of the lungs by Pseudomonas aeruginosa is one of the major causes of morbidity and mortality in cystic fibrosis (CF) patients. To gain insights into the characteristic biofilm phenotype of P. aeruginosa in the CF lungs, mimicking the CF lung environment is critical. We previously showed that growth of the non-CF-adapted P. aeruginosa PAO1 strain in a rotating wall vessel, a device that simulates the low fluid shear (LS) conditions present in the CF lung, leads to the formation of in-suspension, self-aggregating biofilms. In the present study, we determined the phenotypic and transcriptomic changes associated with the growth of a highly adapted, transmissible P. aeruginosa CF strain in artificial sputum medium under LS conditions. Robust self-aggregating biofilms were observed only under LS conditions. Growth under LS conditions resulted in the upregulation of genes involved in stress response, alginate biosynthesis, denitrification, glycine betaine biosynthesis, glycerol metabolism, and cell shape maintenance, while genes involved in phenazine biosynthesis, type VI secretion, and multidrug efflux were downregulated. In addition, a number of small RNAs appeared to be involved in the response to shear stress. Finally, quorum sensing was found to be slightly but significantly affected by shear stress, resulting in higher production of autoinducer molecules during growth under high fluid shear (HS) conditions. In summary, our study revealed a way to modulate the behavior of a highly adapted P. aeruginosa CF strain by means of introducing shear stress, driving it from a biofilm lifestyle to a more planktonic lifestyle. KW - biology Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165821 VL - 7 IS - 4 ER - TY - JOUR A1 - Babski, Julia A1 - Haas, Karina A. A1 - Näther-Schindler, Daniela A1 - Pfeiffer, Friedhelm A1 - Förstner, Konrad U. A1 - Hammelmann, Matthias A1 - Hilker, Rolf A1 - Becker, Anke A1 - Sharma, Cynthia M. A1 - Marchfelder, Anita A1 - Soppa, Jörg T1 - Genome-wide identification of transcriptional start sites in the haloarchaeon Haloferax volcanii based on differential RNA-Seq (dRNA-Seq) JF - BMC Genomics N2 - Background Differential RNA-Seq (dRNA-Seq) is a recently developed method of performing primary transcriptome analyses that allows for the genome-wide mapping of transcriptional start sites (TSSs) and the identification of novel transcripts. Although the transcriptomes of diverse bacterial species have been characterized by dRNA-Seq, the transcriptome analysis of archaeal species is still rather limited. Therefore, we used dRNA-Seq to characterize the primary transcriptome of the model archaeon Haloferax volcanii. Results Three independent cultures of Hfx. volcanii grown under optimal conditions to the mid-exponential growth phase were used to determine the primary transcriptome and map the 5′-ends of the transcripts. In total, 4749 potential TSSs were detected. A position weight matrix (PWM) was derived for the promoter predictions, and the results showed that 64 % of the TSSs were preceded by stringent or relaxed basal promoters. Of the identified TSSs, 1851 belonged to protein-coding genes. Thus, fewer than half (46 %) of the 4040 protein-coding genes were expressed under optimal growth conditions. Seventy-two percent of all protein-coding transcripts were leaderless, which emphasized that this pathway is the major pathway for translation initiation in haloarchaea. A total of 2898 of the TSSs belonged to potential non-coding RNAs, which accounted for an unexpectedly high fraction (61 %) of all transcripts. Most of the non-coding TSSs had not been previously described (2792) and represented novel sequences (59 % of all TSSs). A large fraction of the potential novel non-coding transcripts were cis-antisense RNAs (1244 aTSSs). A strong negative correlation between the levels of antisense transcripts and cognate sense mRNAs was found, which suggested that the negative regulation of gene expression via antisense RNAs may play an important role in haloarchaea. The other types of novel non-coding transcripts corresponded to internal transcripts overlapping with mRNAs (1153 iTSSs) and intergenic small RNA (sRNA) candidates (395 TSSs). Conclusion This study provides a comprehensive map of the primary transcriptome of Hfx. volcanii grown under optimal conditions. Fewer than half of all protein-coding genes have been transcribed under these conditions. Unexpectedly, more than half of the detected TSSs belonged to several classes of non-coding RNAs. Thus, RNA-based regulation appears to play a more important role in haloarchaea than previously anticipated. KW - Archaea KW - dRNA-Seq KW - Promoter KW - Non-coding RNAs KW - sRNA KW - Haloferax volcanii KW - Transcriptome KW - Leaderless transcript KW - Antisense RNA Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164553 VL - 17 IS - 629 ER - TY - JOUR A1 - Čuklina, Jelena A1 - Hahn, Julia A1 - Imakaev, Maxim A1 - Omasits, Ulrich A1 - Förstner, Konrad U. A1 - Ljubimov, Nikolay A1 - Goebel, Melanie A1 - Pessi, Gabriella A1 - Fischer, Hans-Martin A1 - Ahrens, Christian H. A1 - Gelfand, Mikhail S. A1 - Evguenieva-Hackenberg, Elena T1 - Genome-wide transcription start site mapping of Bradyrhizobium japonicum grown free-living or in symbiosis - a rich resource to identify new transcripts, proteins and to study gene regulation JF - BMC Genomics N2 - Background Differential RNA-sequencing (dRNA-seq) is indispensable for determination of primary transcriptomes. However, using dRNA-seq data to map transcriptional start sites (TSSs) and promoters genome-wide is a bioinformatics challenge. We performed dRNA-seq of Bradyrhizobium japonicum USDA 110, the nitrogen-fixing symbiont of soybean, and developed algorithms to map TSSs and promoters. Results A specialized machine learning procedure for TSS recognition allowed us to map 15,923 TSSs: 14,360 in free-living bacteria, 4329 in symbiosis with soybean and 2766 in both conditions. Further, we provide proteomic evidence for 4090 proteins, among them 107 proteins corresponding to new genes and 178 proteins with N-termini different from the existing annotation (72 and 109 of them with TSS support, respectively). Guided by proteomics evidence, previously identified TSSs and TSSs experimentally validated here, we assign a score threshold to flag 14 % of the mapped TSSs as a class of lower confidence. However, this class of lower confidence contains valid TSSs of low-abundant transcripts. Moreover, we developed a de novo algorithm to identify promoter motifs upstream of mapped TSSs, which is publicly available, and found motifs mainly used in symbiosis (similar to RpoN-dependent promoters) or under both conditions (similar to RpoD-dependent promoters). Mapped TSSs and putative promoters, proteomic evidence and updated gene annotation were combined into an annotation file. Conclusions The genome-wide TSS and promoter maps along with the extended genome annotation of B. japonicum represent a valuable resource for future systems biology studies and for detailed analyses of individual non-coding transcripts and ORFs. Our data will also provide new insights into bacterial gene regulation during the agriculturally important symbiosis between rhizobia and legumes. KW - Bradyrhizobium KW - RNA-seq KW - Promoter prediction KW - Genome re-annotation KW - Internal transcription start site KW - Nodule KW - Transcription start site KW - Proteogenomics KW - Antisense RNA Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-164565 VL - 17 ER - TY - JOUR A1 - Hershko-Shalev, Tal A1 - Odenheimer-Bergman, Ahuva A1 - Elgrably-Weiss, Maya A1 - Ben-Zvi, Tamar A1 - Govindarajan, Sutharsan A1 - Seri, Hemda A1 - Papenfort, Kai A1 - Vogel, Jörg A1 - Altuvia, Shoshy T1 - Gifsy-1 Prophage IsrK with Dual Function as Small and Messenger RNA Modulates Vital Bacterial Machineries JF - PLoS Genetics N2 - While an increasing number of conserved small regulatory RNAs (sRNAs) are known to function in general bacterial physiology, the roles and modes of action of sRNAs from horizontally acquired genomic regions remain little understood. The IsrK sRNA of Gifsy-1 prophage of Salmonella belongs to the latter class. This regulatory RNA exists in two isoforms. The first forms, when a portion of transcripts originating from isrK promoter reads-through the IsrK transcription-terminator producing a translationally inactive mRNA target. Acting in trans, the second isoform, short IsrK RNA, binds the inactive transcript rendering it translationally active. By switching on translation of the first isoform, short IsrK indirectly activates the production of AntQ, an antiterminator protein located upstream of isrK. Expression of antQ globally interferes with transcription termination resulting in bacterial growth arrest and ultimately cell death. Escherichia coli and Salmonella cells expressing AntQ display condensed chromatin morphology and localization of UvrD to the nucleoid. The toxic phenotype of AntQ can be rescued by co-expression of the transcription termination factor, Rho, or RNase H, which protects genomic DNA from breaks by resolving R-loops. We propose that AntQ causes conflicts between transcription and replication machineries and thus promotes DNA damage. The isrK locus represents a unique example of an island-encoded sRNA that exerts a highly complex regulatory mechanism to tune the expression of a toxic protein. KW - prophage KW - Gifsy-1 KW - sRNA KW - IsrK Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166717 VL - 12 IS - 4 ER - TY - JOUR A1 - Selle, Martina A1 - Hertlein, Tobias A1 - Oesterreich, Babett A1 - Klemm, Theresa A1 - Kloppot, Peggy A1 - Müller, Elke A1 - Ehricht, Ralf A1 - Stentzel, Sebastian A1 - Bröker, Barbara M. A1 - Engelmann, Susanne A1 - Ohlsen, Knut T1 - Global antibody response to Staphylococcus aureus live-cell vaccination JF - Scientific Reports N2 - The pathogen Staphylococcus aureus causes a broad range of severe diseases and is feared for its ability to rapidly develop resistance to antibiotic substances. The increasing number of highly resistant S. aureus infections has accelerated the search for alternative treatment options to close the widening gap in anti-S. aureus therapy. This study analyses the humoral immune response to vaccination of Balb/c mice with sublethal doses of live S. aureus. The elicited antibody pattern in the sera of intravenously and intramuscularly vaccinated mice was determined using of a recently developed protein array. We observed a specific antibody response against a broad set of S. aureus antigens which was stronger following i.v. than i.m. vaccination. Intravenous but not intramuscular vaccination protected mice against an intramuscular challenge infection with a high bacterial dose. Vaccine protection was correlated with the strength of the anti-S. aureus antibody response. This study identified novel vaccine candidates by using protein microarrays as an effective tool and showed that successful vaccination against S. aureus relies on the optimal route of administration. KW - pathogens KW - bacterial infection KW - cell vaccines KW - Staphylococcus aureus Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-181245 VL - 6 ER - TY - JOUR A1 - Ene, Iuliana V. A1 - Lohse, Matthew B. A1 - Vladu, Adrian V. A1 - Morschhäuser, Joachim A1 - Johnson, Alexander D. A1 - Bennett, Richard J. T1 - Phenotypic Profiling Reveals that Candida albicans Opaque Cells Represent a Metabolically Specialized Cell State Compared to Default White Cells JF - mBio N2 - The white-opaque switch is a bistable, epigenetic transition affecting multiple traits in Candida albicans including mating, immunogenicity, and niche specificity. To compare how the two cell states respond to external cues, we examined the fitness, phenotypic switching, and filamentation properties of white cells and opaque cells under 1,440 different conditions at 25°C and 37°C. We demonstrate that white and opaque cells display striking differences in their integration of metabolic and thermal cues, so that the two states exhibit optimal fitness under distinct conditions. White cells were fitter than opaque cells under a wide range of environmental conditions, including growth at various pHs and in the presence of chemical stresses or antifungal drugs. This difference was exacerbated at 37°C, consistent with white cells being the default state of C. albicans in the mammalian host. In contrast, opaque cells showed greater fitness than white cells under select nutritional conditions, including growth on diverse peptides at 25°C. We further demonstrate that filamentation is significantly rewired between the two states, with white and opaque cells undergoing filamentous growth in response to distinct external cues. Genetic analysis was used to identify signaling pathways impacting the white-opaque transition both in vitro and in a murine model of commensal colonization, and three sugar sensing pathways are revealed as regulators of the switch. Together, these findings establish that white and opaque cells are programmed for differential integration of metabolic and thermal cues and that opaque cells represent a more metabolically specialized cell state than the default white state. KW - biology Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165818 VL - 7 IS - 6 ER - TY - JOUR A1 - Blättner, Sebastian A1 - Das, Sudip A1 - Paprotka, Kerstin A1 - Eilers, Ursula A1 - Krischke, Markus A1 - Kretschmer, Dorothee A1 - Remmele, Christian W. A1 - Dittrich, Marcus A1 - Müller, Tobias A1 - Schuelein-Voelk, Christina A1 - Hertlein, Tobias A1 - Mueller, Martin J. A1 - Huettel, Bruno A1 - Reinhardt, Richard A1 - Ohlsen, Knut A1 - Rudel, Thomas A1 - Fraunholz, Martin J. T1 - Staphylococcus aureus Exploits a Non-ribosomal Cyclic Dipeptide to Modulate Survival within Epithelial Cells and Phagocytes JF - PLoS Pathogens N2 - Community-acquired (CA) Staphylococcus aureus cause various diseases even in healthy individuals. Enhanced virulence of CA-strains is partly attributed to increased production of toxins such as phenol-soluble modulins (PSM). The pathogen is internalized efficiently by mammalian host cells and intracellular S. aureus has recently been shown to contribute to disease. Upon internalization, cytotoxic S. aureus strains can disrupt phagosomal membranes and kill host cells in a PSM-dependent manner. However, PSM are not sufficient for these processes. Here we screened for factors required for intracellular S. aureus virulence. We infected escape reporter host cells with strains from an established transposon mutant library and detected phagosomal escape rates using automated microscopy. We thereby, among other factors, identified a non-ribosomal peptide synthetase (NRPS) to be required for efficient phagosomal escape and intracellular survival of S. aureus as well as induction of host cell death. By genetic complementation as well as supplementation with the synthetic NRPS product, the cyclic dipeptide phevalin, wild-type phenotypes were restored. We further demonstrate that the NRPS is contributing to virulence in a mouse pneumonia model. Together, our data illustrate a hitherto unrecognized function of the S. aureus NRPS and its dipeptide product during S. aureus infection. KW - cell death KW - cytotoxicity KW - Staphylococcus aureus KW - host cells KW - neutrophils KW - macrophages KW - transposable elements KW - epithelial cells Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-180380 VL - 12 IS - 9 ER -