Evidence map›Paper›PMID 23114029›Full record

ArticleBiology direct2012

Early evolution of efficient enzymes and genome organization.

András Szilágyi, Adám Kun, Eörs Szathmáry

Abstract read
In one paragraph

Article in Biology direct, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome Evolution from Random Ligation of RNAs of Autocatalytic Sets.International journal of molecular sciences · 2021
    Article
  4. Article
  5. Review
  6. The evolutionary dynamics of metabolic protocells.PLoS computational biology · 2018
    Article
  7. The minimotif synthesis hypothesis for the origin of life.Journal of translational science · 2016
    Article
  8. Toward major evolutionary transitions theory 2.0.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  9. 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

3 authors.

András SzilágyiDepartment of Plant Taxonomy and Ecology, Institute of Biology, Eötvös University, Pázmány Péter sétány 1/C, 1117, Budapest, Hungary.
Adám Kun
Eörs Szathmáry

Funding

European Research Council 294332
6 · The paper itself

Abstract

backgroundCellular life with complex metabolism probably evolved during the reign of RNA, when it served as both information carrier and enzyme. Jensen proposed that enzymes of primordial cells possessed broad specificities: they were generalist. When and under what conditions could primordial metabolism run by generalist enzymes evolve to contemporary-type metabolism run by specific enzymes?

resultsHere we show by numerical simulation of an enzyme-catalyzed reaction chain that specialist enzymes spread after the invention of the chromosome because protocells harbouring unlinked genes maintain largely non-specific enzymes to reduce their assortment load. When genes are linked on chromosomes, high enzyme specificity evolves because it increases biomass production, also by reducing taxation by side reactions.

conclusionThe constitution of the genetic system has a profound influence on the limits of metabolic efficiency. The major evolutionary transition to chromosomes is thus proven to be a prerequisite for a complex metabolism. Furthermore, the appearance of specific enzymes opens the door for the evolution of their regulation. REVIEWERS: This article was reviewed by Sándor Pongor, Gáspár Jékely, and Rob Knight.

Indexed as

ChromosomesEvolution, MolecularCatalysisComputational BiologyEnzymesGenomeMetabolic Networks and PathwaysModels, GeneticRNA, CatalyticSelection, GeneticSubstrate SpecificityEnzymesRNA, Catalytic

Identifiers

PMID23114029
PMCPMC3534232

What OpenQuestion holds

Textmetadata
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.