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Yeast has evolved to minimize protein resource cost for synthesizing amino acids

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Názov: Yeast has evolved to minimize protein resource cost for synthesizing amino acids
Autori: Chen, Yu, 1990, Nielsen, Jens B, 1962
Zdroj: Proceedings of the National Academy of Sciences of the United States of America. 119(4)
Predmety: Proteome constraint, Constraint-based modeling, Saccharomyces cerevisiae, Amino acid biosynthetic cost, Metabolic engineering
Popis: Proteins, as essential biomolecules, account for a large fraction of cell mass, and thus the synthesis of the complete set of proteins (i.e., the proteome) represents a substantial part of the cellular resource budget. Therefore, cells might be under selective pressures to optimize the resource costs for protein synthesis, particularly the biosynthesis of the 20 proteinogenic amino acids. Previous studies showed that less energetically costly amino acids are more abundant in the proteomes of bacteria that survive under energy-limited conditions, but the energy cost of synthesizing amino acids was reported to be weakly associated with the amino acid usage in Saccharomyces cerevisiae. Here we present a modeling framework to estimate the protein cost of synthesizing each amino acid (i.e., the protein mass required for supporting one unit of amino acid biosynthetic flux) and the glucose cost (i.e., the glucose consumed per amino acid synthesized). We show that the logarithms of the relative abundances of amino acids in S. cerevisiae's proteome correlate well with the protein costs of synthesizing amino acids (Pearson's r = 20.89), which is better than that with the glucose costs (Pearson's r = 20.5). Therefore, we demonstrate that S. cerevisiae tends to minimize protein resource, rather than glucose or energy, for synthesizing amino acids.
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Prístupová URL adresa: https://research.chalmers.se/publication/528365
https://research.chalmers.se/publication/528365/file/528365_Fulltext.pdf
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  Data: Yeast has evolved to minimize protein resource cost for synthesizing amino acids
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Yu%22">Chen, Yu</searchLink>, 1990<br /><searchLink fieldCode="AR" term="%22Nielsen%2C+Jens+B%22">Nielsen, Jens B</searchLink>, 1962
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  Data: <i>Proceedings of the National Academy of Sciences of the United States of America</i>. 119(4)
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  Data: <searchLink fieldCode="DE" term="%22Proteome+constraint%22">Proteome constraint</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint-based+modeling%22">Constraint-based modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Saccharomyces+cerevisiae%22">Saccharomyces cerevisiae</searchLink><br /><searchLink fieldCode="DE" term="%22Amino+acid+biosynthetic+cost%22">Amino acid biosynthetic cost</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolic+engineering%22">Metabolic engineering</searchLink>
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  Label: Description
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  Data: Proteins, as essential biomolecules, account for a large fraction of cell mass, and thus the synthesis of the complete set of proteins (i.e., the proteome) represents a substantial part of the cellular resource budget. Therefore, cells might be under selective pressures to optimize the resource costs for protein synthesis, particularly the biosynthesis of the 20 proteinogenic amino acids. Previous studies showed that less energetically costly amino acids are more abundant in the proteomes of bacteria that survive under energy-limited conditions, but the energy cost of synthesizing amino acids was reported to be weakly associated with the amino acid usage in Saccharomyces cerevisiae. Here we present a modeling framework to estimate the protein cost of synthesizing each amino acid (i.e., the protein mass required for supporting one unit of amino acid biosynthetic flux) and the glucose cost (i.e., the glucose consumed per amino acid synthesized). We show that the logarithms of the relative abundances of amino acids in S. cerevisiae's proteome correlate well with the protein costs of synthesizing amino acids (Pearson's r = 20.89), which is better than that with the glucose costs (Pearson's r = 20.5). Therefore, we demonstrate that S. cerevisiae tends to minimize protein resource, rather than glucose or energy, for synthesizing amino acids.
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              Y: 2022
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