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Systems biology of energetic and atomic costs in the yeast transcriptome, proteome, and metabolome

Michael D. Barton¹, Balazs Papp², Daniel Delneri¹, Stephen G. Oliver³, Magnus Rattray⁴, & Casey M. Bergman¹

Correspondence: (Login to view email address)

1. Faculty of Life Sciences, University of Manchester
2. Biological Research Centre of the Hungarian Academy of Sciences
3. Department of Biochemistry, University of Cambridge
4. School of Computer Sciences, University of Manchester

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Manuscript

Date:

Received 28 April 2008 14:40 UTC; Posted 29 April 2008

Subjects:

Genetics, Molecular Cell Biology, Bioinformatics

Tags:

• gene expression
• flux balance analysis
• metabolic cost
• cellular economics
• codon usage bias

Abstract:

Proteins vary in their cost to the cell and natural selection may favour the use of proteins that are cheaper to produce. We develop a novel approach to estimate the amino acid biosynthetic cost based on genome-scale metabolic models, and directly investigate the effects of biosynthetic cost on transcriptomic, proteomic and metabolomic data in Saccharomyces cerevisiae. We find that our systems approach to formulating biosynthetic cost produces a novel measure that explains similar levels of variation in gene expression compared with previously reported cost measures. Regardless of the measure used, the cost of amino acid synthesis is weakly associated with transcript and protein levels, independent of codon usage bias. In contrast, energetic costs explain a large proportion of variation in levels of free amino acids. In the economy of the yeast cell, there appears to be no single currency to compute the cost of amino acid synthesis, and thus a systems approach is necessary to uncover the full effects of amino acid biosynthetic cost in complex biological systems that vary with cellular and environmental conditions.

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This document is licensed to the public under the Creative Commons Attribution 3.0 License

How to cite this document:

Barton, Michael, Papp, Balazs, Delneri, Daniel, Oliver, Stephen, Rattray, Magnus, and Bergman, Casey. Systems biology of energetic and atomic costs in the yeast transcriptome, proteome, and metabolome. Available from Nature Precedings <http://hdl.handle.net/10101/npre.2008.1841.1> (2008)

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Other versions of this document in Nature Precedings

Version number	Document title	Date
v2	Posted 22 July 2008

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