Abstract
Background Reconstruction and applications of genome scale metabolic models have truly influenced the field of systems biology [1,2]. These models have a promising ability to describe cellular phenotypes accurately and to relate the annotated genome sequence to the physiological functions of a cell [3,4]. Gluconacetobacter has been extensively characterized and is a model system for cellulose biosynthesis [5]. Using high throughput sequencing technologies a high quality draft assembly of the genome of this bacteria, Gluconacetobacter hansenii ATCC 23769 (GenBank number: CM000920 and taxonomy ID: 714995), has been completed and can be used to understand how this bacteria is able to produce cellulose. Bacterial cellulose has been used in the medical field as wound dressing and artificial skin material. Computational tools for predicting fluxes in biochemical networks are applied in the fields of integrated systems biology, bioinformatics, and genomics.
Highlights
Reconstruction and applications of genome scale metabolic models have truly influenced the field of systems biology [1,2]
The annotated data of the genome sequence of G. hansenii were used as the input for the Pathway Tools software, which can mapping genes to reactions in an automated manner
In this work, we present an initial draft of genome-scale metabolic reconstruction and network analysis of G. hansenii
Summary
Reconstruction and applications of genome scale metabolic models have truly influenced the field of systems biology [1,2]. Methods The reconstruction process involves the following steps: (1) creation of a draft model; (2) manual curation; (3) conversion into a mathematical format; (4) identification and filling of gaps; and (5) simulation and visualization. The annotated data of the genome sequence of G. hansenii were used as the input for the Pathway Tools software, which can mapping genes to reactions in an automated manner.
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