Project description:Antibiotic use can lead to expansion of multi-drug resistant pathobionts within the gut microbiome that can cause life-threatening infections. Selective alternatives to conventional antibiotics are in dire need. Here, we describe a Klebsiella PhageBank that enables the rapid design of antimicrobial bacteriophage cocktails to treat multi-drug resistant Klebsiella pneumoniae. Using a transposon library in carbapenem-resistant K. pneumoniae, we identified host factors required for phage infection in major Klebsiella phage families. Leveraging the diversity of the PhageBank and experimental evolution strategies, we formulated combinations of phages that minimize the occurrence of phage resistance in vitro. Optimized bacteriophage cocktails selectively suppressed the burden of multi-drug resistant K. pneumoniae in the mouse gut microbiome and drove bacterial populations to lose key virulence factors that act as phage receptors. Further, phage-mediated diversification of bacterial populations in the gut enabled co-evolution of phage variants with higher virulence and a broader host range. Altogether, the Klebsiella PhageBank represents a roadmap for both phage researchers and clinicians to enable phage therapy against a critical multidrug-resistant human pathogen.
Project description:Bacteriophage (phage) are viruses that can kill bacteria, but also mediate gene transfer for bacterial evolution. The telomere phages are a curious form using telomere-like structures to replicate their genomes as linear extrachromosomal elements. Here we find that telomere phages are widely distributed in bacteria, being highly prevalent in Klebsiella species. We established a model system to investigate telomere phage biology and find only a small set of phage proteins are expressed in phage-host cells, including a toxin – telocin - that kills other Klebsiella strains. We identify and validate other telocins in the genomes of other, widespread Klebsiella telomere phages. Thus, telomere phages are widespread elements encoding diverse antibacterial weapons and we discuss the prospect of using telocins for precision editing of microbial populations.
Project description:Klebsiella pneumoniae is an arising threat to human health. However, host immune responses in response to this bacterium remain to be elucidated. The goal of this study was to identify the dominant host immune responses associated with Klebsiella pneumoniae pulmonary infection. Pulmonary mRNA profiles of 6-8-weeks-old BALB/c mice infected with/without Klebsiella pneumoniae were generated by deep sequencing using Illumina Novaseq 6000. qRT–PCR validation was performed using SYBR Green assays. Using KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis, we identified several immune associated pathways, including complement and coagulation cascades, Toll-like receptor signaling pathway, Rap1 signaling pathway, chemokine signaling pathway, TNF signaling pathway, phagosome and NOD-like receptor signaling pathway, were involved in Klebsiella pneumoniae pulmonary infection. Using ICEPOP (Immune CEll POPulation) analysis, we found that several cell types were involved in the host immune response to Klebsiella pneumoniae pulmonary infection, including dendritic cells, macrophages, monocytes, NK (natural killer) cells, stromal cells. Further, IL-17 chemokines were significantly increased during Klebsiella pneumoniae infection. This study provided evidence for further studying the pathogenic mechanism of Klebsiella pneumoniae pneumonia infection.
Project description:Liao2011 - Genome-scale metabolic
reconstruction of Klebsiella pneumoniae (iYL1228)
This model is described in the article:
An experimentally validated
genome-scale metabolic reconstruction of Klebsiella pneumoniae
MGH 78578, iYL1228.
Liao YC, Huang TW, Chen FC,
Charusanti P, Hong JS, Chang HY, Tsai SF, Palsson BO, Hsiung
CA.
J. Bacteriol. 2011 Apr; 193(7):
1710-1717
Abstract:
Klebsiella pneumoniae is a Gram-negative bacterium of the
family Enterobacteriaceae that possesses diverse metabolic
capabilities: many strains are leading causes of
hospital-acquired infections that are often refractory to
multiple antibiotics, yet other strains are metabolically
engineered and used for production of commercially valuable
chemicals. To study its metabolism, we constructed a
genome-scale metabolic model (iYL1228) for strain MGH 78578,
experimentally determined its biomass composition,
experimentally determined its ability to grow on a broad range
of carbon, nitrogen, phosphorus and sulfur sources, and
assessed the ability of the model to accurately simulate growth
versus no growth on these substrates. The model contains 1,228
genes encoding 1,188 enzymes that catalyze 1,970 reactions and
accurately simulates growth on 84% of the substrates tested.
Furthermore, quantitative comparison of growth rates between
the model and experimental data for nine of the substrates also
showed good agreement. The genome-scale metabolic
reconstruction for K. pneumoniae presented here thus provides
an experimentally validated in silico platform for further
studies of this important industrial and biomedical
organism.
This model is hosted on
BioModels Database
and identified by:
MODEL1507180054.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pneumoniae and Streptococcus pyogenes, 5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. This submission contains the results from six Klebsiella strains (four Klebsiella variicola: AJ005, AJ292, 03-311-0071, 04153260899A and two Klebsiella pneumoniae: AJ218, KPC2) grown in either RPMI or pooled human sera. Six replicates of each condition were subjected to shotgun proteomics and label-free MS1-based quantitation.
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to strains MS14386.
Project description:ϕXacN1 is a novel jumbo myovirus infecting the causative agent of Asian citrus canker, Xanthomonas citri. Its linear 384,670 bp double-stranded DNA genome encodes 592 predicted protein coding genes and shows 65,875 bp direct terminal repeats (DTRs), so far the longest DTRs among sequence phage genomes. The DTRs harbor 56 tRNA genes, corresponding to all 20 amino acids. This is the highest number of tRNA genes reported in a phage genome. Codon usage analyses revealed a propensity that the phage encoded tRNAs target codons that are highly used by the phage but less frequently by its host. The existence of these tRNA genes, additional seven translation-related genes as well as a chaperonin gene found in the ϕXacN1 genome suggests an increased level of independence of phage replication on host molecular machinery and a wide host range. Consistently, ϕXacN1 showed a wider host range than other X. citri phages in an infection test against a panel of X. citri strains. Phylogenetic analyses revealed a clade of phages composed of ϕXacN1 and ten other jumbo phages showing an evolutionary stability in their large genome sizes.
Project description:Cyanobacteria are highly abundant in the oceans where they are constantly exposed to lytic viruses. Some viruses are restricted to a narrow host range while others infect a broad range of hosts. It is currently unknown whether broad-host range phages employ the same infection program, or regulate their program in a host-specific manner to accommodate for the different genetic makeup and defense systems of each host. Here we used a combination of microarray and RNA-seq analyses to investigate the interaction of three phylogentically distinct Synechococcus strains, WH7803, WH8102, and WH8109, with the broad-host range T4-like myovirus, Syn9, during infection. Strikingly, we found that the phage led a nearly identical expression program in the three hosts despite considerable differences in host gene content. On the other hand, host responses to infection involved mainly host-specific genes, suggesting variable attempts at defense against infection. A large number of responsive host genes were located in hypervariable genomic islands, substantiating genomic islands as a major axis of phage-bacteria interactions in cyanobacteria. Furthermore, transcriptome analyses and experimental determination of the complete phage promoter map revealed three temporally regulated modules and not two as previously thought for cyanophages. In contrast to T4, an extensive, previously unknown regulatory motif drives expression of early genes and host-like promoters drive middle-gene expression. These promoters are highly conserved among cyanophages and host-like middle promoters extend to other T4-like phages, indicating that the well-known mode of regulation in T4 is not the rule among the broad family of T4-like phages. We investigated the infection process and transcriptional program of the P-TIM40 cyanophage during infection of a Prochlorococcus NATL2A host. The results are discussed in conjunction with results obtained from the infection process for the Syn9 cyanophage in three different Synechococcus hosts: WH7803 (Dufresne et al. 2008), WH8102 (Palenik et al. 2003) and WH8109 (sequenced as part of this study).
Project description:The Antibiotic Resistant Sepsis Pathogens Framework Initiative aims to develop a framework dataset of 5 sepsis pathogens (5 strains each) using an integrated application of genomic, transcriptomic, metabolomic and proteomic technologies. The pathogens included in this initiative are: Escherichia coli, Klebsiella pneumoniae complex, Staphylococcus aureus, Streptococcus pyogenes, and Streptococcus pneumoniae. This submission pertains to Klebsiella pneumoniae complex strains AJ055, AJ218, AJ292, KPC2, 03-311-0071 and 04153260899A.