Evidence map›Paper›PMID 24516572›Full record

ArticlePloS one2014

Metabolic evolution of a deep-branching hyperthermophilic chemoautotrophic bacterium.

Rogier Braakman, Eric Smith

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Lipoic acid attachment to proteins: stimulating new developments.Microbiology and molecular biology reviews : MMBR · 2024
    Review
  2. Oxygen and the Spark of Human Brain Evolution: Complex Interactions of Metabolism and Cortical Expansion across Development and Evolution.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. QnAs with John E. Cronan.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Article
  16. Article
  17. Metabolic evolution and the self-organization of ecosystems.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. Review
  19. The universal tree of life: an update.Frontiers in microbiology · 2015
    Review
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Rogier BraakmanKrasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, United States of America.
Eric SmithSanta Fe Institute, Santa Fe, New Mexico, United States of America ; Krasnow Institute for Advanced Study, George Mason University, Fairfax, Virginia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aquifex aeolicus is a deep-branching hyperthermophilic chemoautotrophic bacterium restricted to hydrothermal vents and hot springs. These characteristics make it an excellent model system for studying the early evolution of metabolism. Here we present the whole-genome metabolic network of this organism and examine in detail the driving forces that have shaped it. We make extensive use of phylometabolic analysis, a method we recently introduced that generates trees of metabolic phenotypes by integrating phylogenetic and metabolic constraints. We reconstruct the evolution of a range of metabolic sub-systems, including the reductive citric acid (rTCA) cycle, as well as the biosynthesis and functional roles of several amino acids and cofactors. We show that A. aeolicus uses the reconstructed ancestral pathways within many of these sub-systems, and highlight how the evolutionary interconnections between sub-systems facilitated several key innovations. Our analyses further highlight three general classes of driving forces in metabolic evolution. One is the duplication and divergence of genes for enzymes as these progress from lower to higher substrate specificity, improving the kinetics of certain sub-systems. A second is the kinetic optimization of established pathways through fusion of enzymes, or their organization into larger complexes. The third is the minimization of the ATP unit cost to synthesize biomass, improving thermodynamic efficiency. Quantifying the distribution of these classes of innovations across metabolic sub-systems and across the tree of life will allow us to assess how a tradeoff between maximizing growth rate and growth efficiency has shaped the long-term metabolic evolution of the biosphere.

Indexed as

Biological EvolutionChemoautotrophic GrowthMetabolic Networks and PathwaysAmino Acids, Branched-ChainBacteriaBiosynthetic PathwaysCarbon CycleCitric Acid CycleCoenzymesEnergy MetabolismNucleotidesPhylogenyPyrrolesThioctic AcidAmino Acids, Branched-ChainCoenzymesNucleotidesPyrrolesThioctic Acid

Identifiers

PMID24516572
PMCPMC3917532

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.