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Reconstruction and Analysis of Central Metabolism in Microbes

Authors :
Nomi L. Harris
José P. Faria
Christopher S. Henry
Janaka N. Edirisinghe
Benjamin H. Allen
Source :
Methods in Molecular Biology ISBN: 9781493975273
Publication Year :
2017
Publisher :
Springer New York, 2017.

Abstract

Genome-scale metabolic models (GEMs) generated from automated reconstruction pipelines often lack accuracy due to the need for extensive gapfilling and the inference of periphery metabolic pathways based on lower-confidence annotations. The central carbon pathways and electron transport chains are among the most well-understood regions of microbial metabolism, and these pathways contribute significantly toward defining cellular behavior and growth conditions. Thus, it is often useful to construct a simplified core metabolic model (CMM) that is comprised of only the high-confidence central pathways. In this chapter, we discuss methods for producing core metabolic models (CMM) based on genome annotations. With its reduced scope compared to GEMs, CMM reconstruction focuses on accurate representation of the central metabolic pathways related to energy biosynthesis and accurate energy yield predictions. We demonstrate the reconstruction and analysis of CMMs using the DOE Systems Biology Knowledgebase (KBase). The complete workflow is available at http://kbase.us/core-models/.

Details

ISBN :
978-1-4939-7527-3
ISBNs :
9781493975273
Database :
OpenAIRE
Journal :
Methods in Molecular Biology ISBN: 9781493975273
Accession number :
edsair.doi...........43fc0f8236529762997061e9cbd47865
Full Text :
https://doi.org/10.1007/978-1-4939-7528-0_5