4.8 Article

Amino Acid Metabolism Conflicts with Protein Diversity

Journal

MOLECULAR BIOLOGY AND EVOLUTION
Volume 31, Issue 11, Pages 2905-2912

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msu228

Keywords

amino acid decay; amino acid metabolism; information theory; maximum entropy; proteomics

Funding

  1. CONICET [PIP 0801 2010-2012]
  2. ANPCyT [PICT 2010-00681, PICT 2010-1052, PICT 2012-2550]

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The 20 protein-coding amino acids are found in proteomes with different relative abundances. The most abundant amino acid, leucine, is nearly an order of magnitude more prevalent than the least abundant amino acid, cysteine. Amino acid metabolic costs differ similarly, constraining their incorporation into proteins. On the other hand, a diverse set of protein sequences is necessary to build functional proteomes. Here, we present a simple model for a cost-diversity trade-off postulating that natural proteomes minimize amino acid metabolic flux while maximizing sequence entropy. The model explains the relative abundances of amino acids across a diverse set of proteomes. We found that the data are remarkably well explained when the cost function accounts for amino acid chemical decay. More than 100 organisms reach comparable solutions to the trade-off by different combinations of proteome cost and sequence diversity. Quantifying the interplay between proteome size and entropy shows that proteomes can get optimally large and diverse.

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