Evidence map›Paper›PMID 19540613›Full record

ReviewTrends in genetics : TIG2009

Dynamics of transposable elements: towards a community ecology of the genome.

Samuel Venner, Cédric Feschotte, Christian Biémont

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Transposon Ecology and the Octopus Genome.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026
    Review
  8. The evolutionary genomics of meiotic drive.Molecular biology and evolution · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

38 more citing papers are in PubMed but not listed here.

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.

Samuel VennerUniversité de Lyon, F-69000, Lyon, France. venner@biomserv.univ-lyon1.fr
Cédric Feschotte
Christian Biémont

Funding

Human DNA transposons: evolutionary history and genomic impactR01GM077582 · NIGMS · UNIVERSITY OF UTAH · PI FESCHOTTE, CEDRIC · 2007 to 2015
$1.4M
NIGMS NIH HHS R01 GM077582
6 · The paper itself

Abstract

Like ecological communities, which vary in species composition, eukaryote genomes differ in the amount and diversity of transposable elements (TEs) that they harbor. Given that TEs have a considerable impact on the biology of their host species, we need to better understand whether their dynamics reflects some form of organization or is primarily driven by stochastic processes. Here, we borrow ecological concepts on species diversity to explore how interactions between TEs can contribute to structure TE communities within their genomic ecosystem. Whereas the niche theory predicts a stable diversity of TEs because of their divergent characteristics, the neutral theory of biodiversity predicts the assembly of TE communities from stochastic processes acting at the level of the individual TE. Contrary to ecological communities, however, TE communities are shaped by selection at the level of their ecosystem (i.e. the host individual). Developing ecological models specific to the genome will thus be a prerequisite for modeling the dynamics of TEs.

Indexed as

DNA Transposable ElementsEcosystemEpigenesis, GeneticModels, GeneticAnimalsGenomeHumansPopulation DynamicsStochastic ProcessesDNA Transposable Elements

Identifiers

PMID19540613
PMCPMC2945704

What OpenQuestion holds

Textmetadata
LicenceTDM
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.