ArticleJournal of bacteriology2014
Comparative metabolic systems analysis of pathogenic Burkholderia.
Article in Journal of bacteriology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
29 citing papers in PubMed, 58 citations in OpenAlex.
- Functional analysis ofMicrobiology spectrum · 2026Article
- Community-scale models of microbiomes: Articulating metabolic modelling and metagenome sequencing.Microbial biotechnology · 2024Review
- Showing the limitations of available phenotypic assays to detectAccess microbiology · 2023Article
- Surface Motility Favors Codependent Interaction between Pseudomonas aeruginosa and Burkholderia cenocepacia.mSphere · 2022Article
- Genome-Scale Metabolic Model ofFrontiers in genetics · 2020Article
- Genome-Scale Characterization of Toxicity-Induced Metabolic Alterations in Primary Hepatocytes.Toxicological sciences : an official journal of the Society of Toxicology · 2019Article
- Biomedical applications of genome-scale metabolic network reconstructions of human pathogens.Current opinion in biotechnology · 2018Review
- In silico engineering ofPeerJ · 2018Article
- Network Analyses in Plant Pathogens.Frontiers in microbiology · 2018Review
- The Essential Genome of Burkholderia cenocepacia H111.Journal of bacteriology · 2017Article
- More than just a gut feeling: constraint-based genome-scale metabolic models for predicting functions of human intestinal microbes.Microbiome · 2017Review
- Identification and analysis of genomic islands in Burkholderia cenocepacia AU 1054 with emphasis on pathogenicity islands.BMC microbiology · 2017Article
- Reconstruction of the metabolic network of Pseudomonas aeruginosa to interrogate virulence factor synthesis.Nature communications · 2017Article
- Managing uncertainty in metabolic network structure and improving predictions using EnsembleFBA.PLoS computational biology · 2017Article
- Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions.Nature communications · 2017Article
- Systems-level metabolism of the altered Schaedler flora, a complete gut microbiota.The ISME journal · 2017Article
- Comparative genomics of Burkholderia multivorans, a ubiquitous pathogen with a highly conserved genomic structure.PloS one · 2017Article
- Burkholderia pseudomallei-derived miR-3473 enhances NF-κB via targeting TRAF3 and is associated with different inflammatory responses compared to Burkholderia thailandensis in murine macrophages.BMC microbiology · 2016Article
- Efficient Reconstruction of Predictive Consensus Metabolic Network Models.PLoS computational biology · 2016Article
- Metabolic modelling reveals the specialization of secondary replicons for niche adaptation in Sinorhizobium meliloti.Nature communications · 2016Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Burkholderia cenocepacia and Burkholderia multivorans are opportunistic drug-resistant pathogens that account for the majority of Burkholderia cepacia complex infections in cystic fibrosis patients and also infect other immunocompromised individuals. While they share similar genetic compositions, B. cenocepacia and B. multivorans exhibit important differences in pathogenesis. We have developed reconciled genome-scale metabolic network reconstructions of B. cenocepacia J2315 and B. multivorans ATCC 17616 in parallel (designated iPY1537 and iJB1411, respectively) to compare metabolic abilities and contextualize genetic differences between species. The reconstructions capture the metabolic functions of the two species and give insight into similarities and differences in their virulence and growth capabilities. The two reconstructions have 1,437 reactions in common, and iPY1537 and iJB1411 have 67 and 36 metabolic reactions unique to each, respectively. After curating the extensive reservoir of metabolic genes in Burkholderia, we identified 6 genes essential to growth that are unique to iPY1513 and 13 genes uniquely essential to iJB1411. The reconstructions were refined and validated by comparing in silico growth predictions to in vitro growth capabilities of B. cenocepacia J2315, B. cenocepacia K56-2, and B. multivorans ATCC 17616 on 104 carbon sources. Overall, we identified functional pathways that indicate B. cenocepacia can produce a wider array of virulence factors compared to B. multivorans, which supports the clinical observation that B. cenocepacia is more virulent than B. multivorans. The reconciled reconstructions provide a framework for generating and testing hypotheses on the metabolic and virulence capabilities of these two related emerging pathogens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.