Evidence map›Paper›PMID 21398425›Full record

ArticleGenome biology and evolution2011

The accumulation of gene regulation through time.

Maria Warnefors, Adam Eyre-Walker

Open access · goldAbstract read
In one paragraph

Article in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Evolutionary Traceability of a Protein.Genome biology and evolution · 2019
    Article
  6. Article
  7. Borders ofFrontiers in genetics · 2018
    Article
  8. Article
  9. Alternative splicing and the evolution of phenotypic novelty.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. How old is my gene?Trends in genetics : TIG · 2013
    Review
  15. Control by a hair's breadth: the role of microRNAs in the skin.Cellular and molecular life sciences : CMLS · 2013
    Review
  16. Article
  17. Article
  18. 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

2 authors at 1 institution in 1 country.

Maria WarneforsSchool of Life Sciences, University of Sussex, Brighton, United Kingdom. maria.warnefors@gmail.com
Adam Eyre-Walker
University of Sussex · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression is governed by an intricate combination of transcription factors (TFs), microRNAs (miRNAs), splicing factors, and other regulators. Genes cannot support infinitely complex regulation due to sequence constraints and the increased likelihood of harmful errors. However, the upper limit of regulatory complexity in the genome is not known. Here, we provide evidence that human genes are currently not operating at their maximum capacity in terms of gene regulation. We analyze genes spanning the full spectrum of eukaryote evolution, from primate-specific genes to genes present in the eukaryote ancestor, and show that older genes tend to be bound by more TFs, have more conserved upstream sequences, generate more alternative isoforms, house more miRNA targets, and are more likely to be affected by nonsense-mediated decay and RNA editing. These results cannot be explained by overrepresentation of certain functional categories among younger or older genes. Furthermore, the increase in complexity is continuous over evolutionary time, without signs of saturation, leading to the conclusion that most genes, at least in the human genome, have the capacity to evolve even more complex gene regulation in the future.

Indexed as

Evolution, MolecularGene Expression RegulationAnimalsConserved SequenceEukaryotaGenomeGenome, HumanHumansMicroRNAsPrimatesTranscription FactorsMicroRNAsTranscription Factors

Identifiers

PMID21398425
PMCPMC3157833
OpenAlexW2097592069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.