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- Title
iCN718, an Updated and Improved Genome-Scale Metabolic Network Reconstruction of Acinetobacter baumannii AYE.
- Authors
Norsigian, Charles J.; Kavvas, Erol; Seif, Yara; Palsson, Bernhard O.; Monk, Jonathan M.
- Abstract
Acinetobacter baumannii has become an urgent clinical threat due to the recent emergence of multi-drug resistant strains. There is thus a significant need to discover new therapeutic targets in this organism. One means for doing so is through the use of high-quality genome-scale reconstructions. Well-curated and accurate genomescale models (GEMs) of A. baumannii would be useful for improving treatment options. We present an updated and improved genome-scale reconstruction of A. baumannii AYE, named iCN718, that improves and standardizes previous A. baumannii AYE reconstructions. iCN718 has 80% accuracy for predicting gene essentiality data and additionally can predict large-scale phenotypic data with as much as 89% accuracy, a new capability for an A. baumannii reconstruction. We further demonstrate that iCN718 can be used to analyze conserved metabolic functions in the A. baumannii core genome and to build strain-specific GEMs of 74 other A. baumannii strains from genome sequence alone. iCN718 will serve as a resource to integrate and synthesize new experimental data being generated for this urgent threat pathogen.
- Subjects
ACINETOBACTER baumannii; DRUG resistance in bacteria; NUCLEOTIDE sequencing
- Publication
Frontiers in Genetics, 2018, p1
- ISSN
1664-8021
- Publication type
Article
- DOI
10.3389/fgene.2018.00121