Dataset Information

Genetically divergent Francisella philomiragia associated with septic arthritis, Montevideo, Uruguay

ABSTRACT: Identification of proteins by nanoLC-MS/MS from a colony of Francisella philomiragia isolated from pacient.

INSTRUMENT(S): LTQ

ORGANISM(S): Francisella Philomiragia Fsc154

SUBMITTER: Maria Magdalena Portela

LAB HEAD: Analytical Biochemistry and Proteomics Unit

PROVIDER: PXD039709 | Pride | 2024-01-26

REPOSITORIES: Pride

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Publications

Genetically divergent <i>Francisella philomiragia</i> associated with septic arthritis, Montevideo, Uruguay.

Riera Nadia N Salazar Cecilia C Rivera Bernardina B Galiana Antonio A Durán Rosario R Portela María Magdalena MM Antelo Virginia V Pi Beatriz B González Óscar Ó Iraola Gregorio G

New microbes and new infections 20231214

Here we report a case of septic arthritis associated with a genetically divergent <i>Francisella philomiragia</i> strain in a patient with chronic rheumatoid arthritis and Adult-onset Still's disease (AOSD) in Maldonado, Uruguay. In this study mass spectrometry together with whole-genome sequencing using Oxford Nanopore technology allowed for the correct identification of the etiologic agent. ...[more]

PMID: 38261949

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Project description:The highly infectious bacterium Francisella tularensis is a facultative intracellular pathogen, whose virulence requires proliferation inside host cells, including macrophages. Although some Francisella determinants of intracellular growth have been identified, much remains to be understood about the pathogenesis of this organism. In particular, how Francisella responds to its intracellular environment could provide clues about its intracellular biology and reveal pathogenic determinants based on their intracellular expression profiles. Here we have performed a global transcriptional profiling of the highly virulent F. tularensis subsp. tularensis Schu S4 strain during its intracellular cycle within primary murine macrophages. Phagocytosed bacteria rapidly responded to their intracellular environment and progressively altered their transcriptional profile over time. Differential gene expression profiles were revealed that correlated with specific intracellular locations of the bacteria. Upregulation of general and oxidative stress response genes was a hallmark of the early phagosomal and late endosomal stages, while induction of a subset of transport and metabolic genes characterized the cytosolic replication stages. Expression of the Francisella Pathogenicity Island (FPI) genes, the functions of which are associated with intracellular proliferation, increased during the intracellular cycle. Similarly, 27 chromosomal loci putatively encoding hypothetical, secreted, outer membrane proteins or transcriptional regulators were identified as upregulated during the intracellular cycle. In-frame deletion of FTT0383, the Schu S4 ortholog of fevR, of FTT0369c or FTT1676 abolished the ability of Schu S4 to either survive or proliferate intracellularly, demonstrating that bacterial factors of intracellular pathogenesis can be identified based on their intracellular expression profile. In conclusion, establishing the intracellular transcriptome of Francisella has revealed important aspects of its intracellular biology and identified novel virulence determinants of this pathogen. Keywords: Time series

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

Genetically divergent Francisella philomiragia associated with septic arthritis, Montevideo, Uruguay

Publications

Genetically divergent <i>Francisella philomiragia</i> associated with septic arthritis, Montevideo, Uruguay.

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