Evidence map›Paper›PMID 19357800›Full record

ArticleJournal of molecular evolution2009

Amino acid metabolic origin as an evolutionary influence on protein sequence in yeast.

Benjamin L de Bivort, Ethan O Perlstein, Sam Kunes, Stuart L Schreiber

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Metabolic cycling in single yeast cells from unsynchronized steady-state populations limited on glucose or phosphate.Proceedings of the National Academy of Sciences of the United States of America · 2010
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Benjamin L de BivortRowland Institute at Harvard, Harvard University, 100 Edwin Land Boulevard, Cambridge, MA 02142, USA. bivort@fas.harvard.edu
Ethan O Perlstein
Sam Kunes
Stuart L Schreiber
Harvard University · USHoward Hughes Medical Institute · USPrinceton University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic cycle of Saccharomyces cerevisiae consists of alternating oxidative (respiration) and reductive (glycolysis) energy-yielding reactions. The intracellular concentrations of amino acid precursors generated by these reactions oscillate accordingly, attaining maximal concentration during the middle of their respective yeast metabolic cycle phases. Typically, the amino acids themselves are most abundant at the end of their precursor's phase. We show that this metabolic cycling has likely biased the amino acid composition of proteins across the S. cerevisiae genome. In particular, we observed that the metabolic source of amino acids is the single most important source of variation in the amino acid compositions of functionally related proteins and that this signal appears only in (facultative) organisms using both oxidative and reductive metabolism. Periodically expressed proteins are enriched for amino acids generated in the preceding phase of the metabolic cycle. Proteins expressed during the oxidative phase contain more glycolysis-derived amino acids, whereas proteins expressed during the reductive phase contain more respiration-derived amino acids. Rare amino acids (e.g., tryptophan) are greatly overrepresented or underrepresented, relative to the proteomic average, in periodically expressed proteins, whereas common amino acids vary by a few percent. Genome-wide, we infer that 20,000 to 60,000 residues have been modified by this previously unappreciated pressure. This trend is strongest in ancient proteins, suggesting that oscillating endogenous amino acid availability exerted genome-wide selective pressure on protein sequences across evolutionary time.

Indexed as

Evolution, MolecularSequence Analysis, ProteinAmino AcidsAmino Acid SequenceBiasGenetic VariationMolecular Sequence DataSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAmino AcidsSaccharomyces cerevisiae Proteins

Identifiers

PMID19357800
PMCPMC2687519
OpenAlexW2145147858

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.