Project description:In enteric bacteria, DNA supercoiling is highly responsive to environmental conditions. Host specific features of environment serve as cues for the expression of genes required for colonization of host niches via changing supercoiling [1]. It has been shown that substitution at position 87 of GyrA of Salmonella enterica str. SL1344 influences global supercoiling and results in an altered transcriptome with increased expression of stress response pathways [2]. Aminocoumarin antibiotics, such as novobiocin, can be used to relax supercoiling and alter the expression of supercoiling-sensitive genes. Meanwhile, Salmonella enterica demonstrates a significant resistance to this antibiotic and relatively small variability of supercoiling in response to the growth phase, osmotic pressure, and novobiocin treatment. Here we present for the first time transcriptome data of Salmonella enterica subsp. Enterica serovar Typhimurium str. 14028S grown in the presence of novobiocin. These data will help identify genes involved in novobiocin resistance and adaptation processes associated with torsion perturbations in S. enterica. Cleaned FASTQ files for the RNA-seq libraries are deposited in the NCBI Sequence Read Archive (SRA, Identifier: SRP239815) and have been assigned BioProject accession PRJNA599397.
Project description:Single-molecule read technologies allow for detection of epigenomic base modifications during routine sequencing by analysis of kinetic data during the reaction, including the duration between base incorporations at the elongation site (the "inter-pulse duration.") Methylome data associated with a closed de novo bacterial genome of Salmonella enterica subsp. enterica serovar Javiana str. CFSAN001992 was produced and submitted to the Gene Expression Omnibus. Single-sample sequencing and base modification detection of cultured isolate of a foodborne pathogen.
Project description:Single-molecule read technologies allow for detection of epigenomic base modifications during routine sequencing by analysis of kinetic data during the reaction, including the duration between base incorporations at the elongation site (the "inter-pulse duration.") Methylome data associated with a closed de novo bacterial genome of Salmonella enterica subsp. enterica serovar Javiana str. CFSAN001992 was produced and submitted to the Gene Expression Omnibus.
Project description:Salmonella enterica spp. are pathogenic bacteria commonly associated with food-borne outbreaks in human and animals. Salmonella enterica spp. are characterized into more than 2,500 different serotypes, which makes epidemiological surveillance and outbreak control more difficult. In this report, we announce the first complete genome and methylome sequences from two Salmonella type strains associated with food-borne outbreaks, Salmonella enterica subsp. enterica serovar Panama (ATCC 7378) and Salmonella enterica subsp. enterica serovar Sloterdijk (ATCC 15791).
Project description:The 47-kbp plasmid pGFT1 from Salmonella enterica subsp. enterica serovar Dublin mediated tetracycline resistance via a tet(A) gene located on an integrated copy of a Tn1721-analogous transposon. The integration site of the transposon was located within the reading frame of a fip gene. Plasmid pGFT1 was shown to be conjugative and to be able to replicate and express tetracycline resistance in Escherichia coli.
Project description:The fluorescence-based thermal shift (FTS) data presented here include Table S1 and Fig. S1, and are supplemental to our original research article describing detailed structural, FTS, and fluorescence polarization analyses of the Salmonella enterica subsp. entrica serovar Typhimurium str. LT2 multidrug transcriptional regulator AcrR (StAcrR) (doi:10.1016/j.jsb.2016.01.008) (Manjasetty et al., 2015 [1]). Table S1 contains chemical formulas, a Chemical Abstracts Service (CAS) Registry Number (CAS no.), FTS rank (a ligand with the highest rank) has the largest difference in the melting temperature (ΔT m), and uses as drug molecules against various pathological conditions of sixteen small-molecule ligands that increase thermal stability of StAcrR. Thermal stability of human enolase 1, a negative control protein, was not affected in the presence of various concentrations of the top six StAcrR binders (Fig. S1).
Project description:Non-typhoidal Salmonella are extremely diverse and different serovars can exhibit varied phenotypes, including host adaptation and the ability to cause clinical illness in animals and humans. In the USA, Salmonella enterica serovar Kentucky is infrequently found to cause human illness, despite being the top serovar isolated from broiler chickens. Conversely, in Europe, this serovar falls in the top 10 serovars linked to human salmonellosis. Serovar Kentucky is polyphyletic and has two lineages, Kentucky-I and Kentucky-II; isolates belonging to Kentucky-I are frequently isolated from poultry in the USA, while Kentucky-II isolates tend to be associated with human illness. In this study, we analysed whole-genome sequences and associated metadata deposited in public databases between 2017 and 2021 by federal agencies to determine serovar Kentucky incidence across different animal and human sources. Of 5151 genomes, 90.3 % were from isolates that came from broilers, while 5.9 % were from humans and 3.0 % were from cattle. Kentucky-I isolates were associated with broilers, while isolates belonging to Kentucky-II and a new lineage, Kentucky-III, were more commonly associated with cattle and humans. Very few serovar Kentucky isolates were associated with turkey and swine sources. Phylogenetic analyses showed that Kentucky-III genomes were more closely related to Kentucky-I, and this was confirmed by CRISPR-typing and multilocus sequence typing (MLST). In a macrophage assay, serovar Kentucky-II isolates were able to replicate over eight times better than Kentucky-I isolates. Analysis of virulence factors showed unique patterns across these three groups, and these differences may be linked to their association with different hosts.
Project description:Abstract Mango has been implicated as food vehicle in several Salmonella-causing foodborne outbreaks. Here, Salmonella enterica subsp. enterica serovar Minnesota was isolated from fresh mango fruit imported from Mexico in 2014. The complete genome sequence of S. Minnesota CFSAN017963 was sequenced using single-molecule real-time DNA sequencing. Distinct prophage regions, Salmonella pathogenicity islands, and fimbrial gene clusters were observed in comparative genomic analysis on S. Minnesota CFSAN017963 with other phylogenetically closely related Salmonella serovars. Core genome multilocus sequencing typing analysis of all the S. Minnesota isolates in the Genbank and Enterobase also revealed a high genomic diversity among the genomes analyzed.
Project description:Salmonella enterica serovar Agona (S. Agona) is a foodborne pathogen that caused recurrent multistate outbreaks associated with cereal between 1998 and 2008, underscoring the endurance of Salmonella over time in low-moisture food (LMF) processing facilities. In this study, we aimed to determine the molecular mechanism of survival of S. Agona in LMF and confirm their impact on phenotype by the knockout study. S. Agona strain (CFSAN 000477), isolated from cereal, was selected for this study. A 100µl suspension with a concentration of ~10^11 cfu/ml was inoculated into 3g of rice cereals. Three replications of inoculated cereals were subjected to desiccation stress (aw ≤ 0.25) for 24h at room temperature (25⁰C). Inoculated cereal samples were collected at 6 timepoints post-inoculation. Cells were separated from the food matrix for RNA extraction. RNA sequencing was performed using the NextSeq 2000 platform. Read counts were generated with Salmon v1.9.0. Downstream analysis was conducted with R and KEGG mapper. There were 1120 differentially expressed genes (DEGs) in S. Agona in response to desiccation stress (Padj < 0.01, |log2FoldChange| >1), with 647 downregulated and 473 upregulated. Functional analysis of downregulated DEGs revealed that most of the genes were associated with metabolic pathways, followed by translation, suggesting slower growth in the surviving population. The top 3 upregulated genes/operons: kdp and ccm operon, and tisB were knocked out and checked for survival study. Approximately 1-2 log reduction (p>0.05) was noticed in the survival of the mutants compared with the wild type. This transcriptome data suggests that Salmonella Agona survives in low-moisture food by conserving energy, lowering metabolism, and reducing replication.