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Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors.

ABSTRACT: Francisella tularensis is a select bio-threat agent and one of the most virulent intracellular pathogens known, requiring just a few organisms to establish an infection. Although several virulence factors are known, we lack an understanding of virulence factors that act through host-pathogen protein interactions to promote infection. To address these issues in the highly infectious F. tularensis subsp. tularensis Schu S4 strain, we deployed a combined in silico, in vitro, and in vivo analysis to identify virulence factors and their interactions with host proteins to characterize bacterial infection mechanisms.We initially used comparative genomics and literature to identify and select a set of 49 putative and known virulence factors for analysis. Each protein was then subjected to proteome-scale yeast two-hybrid (Y2H) screens with human and murine cDNA libraries to identify potential host-pathogen protein-protein interactions. Based on the bacterial protein interaction profile with both hosts, we selected seven novel putative virulence factors for mutant construction and animal validation experiments. We were able to create five transposon insertion mutants and used them in an intranasal BALB/c mouse challenge model to establish 50 % lethal dose estimates. Three of these, ?FTT0482c, ?FTT1538c, and ?FTT1597, showed attenuation in lethality and can thus be considered novel F. tularensis virulence factors. The analysis of the accompanying Y2H data identified intracellular protein trafficking between the early endosome to the late endosome as an important component in virulence attenuation for these virulence factors. Furthermore, we also used the Y2H data to investigate host protein binding of two known virulence factors, showing that direct protein binding was a component in the modulation of the inflammatory response via activation of mitogen-activated protein kinases and in the oxidative stress response.Direct interactions with specific host proteins and the ability to influence interactions among host proteins are important components for F. tularensis to avoid host-cell defense mechanisms and successfully establish an infection. Although direct host-pathogen protein-protein binding is only one aspect of Francisella virulence, it is a critical component in directly manipulating and interfering with cellular processes in the host cell.

SUBMITTER: Wallqvist A

PROVIDER: S-EPMC4696196 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

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Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors.

Wallqvist Anders A Memišević Vesna V Zavaljevski Nela N Pieper Rembert R Rajagopala Seesandra V SV Kwon Keehwan K Yu Chenggang C Hoover Timothy A TA Reifman Jaques J

BMC genomics 20151229

<h4>Background</h4>Francisella tularensis is a select bio-threat agent and one of the most virulent intracellular pathogens known, requiring just a few organisms to establish an infection. Although several virulence factors are known, we lack an understanding of virulence factors that act through host-pathogen protein interactions to promote infection. To address these issues in the highly infectious F. tularensis subsp. tularensis Schu S4 strain, we deployed a combined in silico, in vitro, and ...[more]

PMID: 26714771

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Project description:pool 16 and pool 29 arrays represent the Francisella transposon insertion mutants isolated from the spleens of two separate groups of 5 intraperitoneally infected mice. skin arrays represent the Francisella transposon insertion mutants isolated from the skin of 5 individual, subcutaneously infected mice. input arrays represent Francisella transposon insertion mutants surviving after growth in TSB broth. Detailed Materials and Methods from Weiss et al, PNAS, 2007, In vivo negative selection screen identifies genes required for Francisella virulence: Mice and Francisella infections Female C57BL/6 mice (Jackson) between 7 and 10 wk of age were kept under specific pathogen-free conditions in filter-top cages at Stanford University and provided with sterile water and food ad libitum. Experimental studies were in accordance with IACUC Guidelines. Mice were inoculated with 2x105 cfu subcutaneously in 50 ul sterile PBS or intraperitoneally (IP) in 500 ul. Spleens were harvested 2 days post-infection, homogenized, and dilutions were plated on supplemented MH agar plates containing kanamycin (infections with library) or MH plates with and without the appropriate antibiotic (competition experiments). Plates were grown overnight at 37oC, 5% CO2 and colonies were enumerated. After infections with the library, approximately 10^5 cfu were collected in sterile PBS for isolation of DNA. Competitive Index (CI) values were calculated using the formula CI = (mutant cfu in output/wild-type cfu in output)/(mutant cfu in input/wild-type cfu in input). Microarrays Genomic DNA was purified from bacterial pellets by phenol-chloroform extraction. Each DNA sample was divided in two and digested separately with BfaI or RsaI (NEB). The digested DNA was used as the template for in vitro transcription with the AmpliScribe T7-Flash transcription kit (Epicentre) following the manufacturer's protocol, except that 2 ?g of digested DNA was used, and the reaction was allowed to proceed for 12 to 16 h. Purified RNA was used in a RT reaction using Superscript II(?) (Invitrogen) and random hexamers as primers. cDNA was labeled with amino-allyl dUTP using the Klenow (exo-) enzyme. The ssDNA containing amino-allyl dUTP from the mouse output or the library input pools were labeled with Cy3 and Cy5, respectively, prior to hybridization to our Francisella microarray as described previously. Data analysis Normalized data were downloaded from the Stanford Microarray Database according to the median log2 Cy5/Cy3 (logRAT2N). Filters for feature quality, including a Cy3 net median intensity of 150 and regression correlation of >0.6, were applied. To compare data from separate IP infection experiments, each experimental sample was zero-transformed to the input/input control. Features (spots) missing values for 40% of the arrays were removed from the data set. The data sets were analyzed with the SAM program, using the two-class analysis option to identify features that consistently deviated from the input and samples across all of the arrays with a false discovery rate of 1%.

Dataset Information

Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors.

Publications

Using host-pathogen protein interactions to identify and characterize Francisella tularensis virulence factors.

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