Evidence map›Paper›PMID 18772373›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2008

Demography and weak selection drive patterns of transposable element diversity in natural populations of Arabidopsis lyrata.

Steven Lockton, Jeffrey Ross-Ibarra, Brandon S Gaut

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
8.2field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 119 citations in OpenAlex.

  1. Article
  2. Genomic diversity and the domestication history of cotton (Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Article
  14. On the Base Composition of Transposable Elements.International journal of molecular sciences · 2022
    Review
  15. Article
  16. Article
  17. Article
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  19. Article
  20. Review

1 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 at 1 institution in 1 country.

Steven LocktonDepartment of Ecology and Evolutionary Biology, University of California, Irvine, CA 92697, USA.
Jeffrey Ross-Ibarra
Brandon S Gaut
University of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) are the major component of most plant genomes, and characterizing their population dynamics is key to understanding plant genome complexity. Yet there have been few studies of TE population genetics in plant systems. To study the roles of selection, transposition, and demography in shaping TE population diversity, we generated a polymorphism dataset for six TE families in four populations of the flowering plant Arabidopsis lyrata. The TE data indicated significant differentiation among populations, and maximum likelihood procedures suggested weak selection. For strongly bottlenecked populations, the observed TE band-frequency spectra fit data simulated under neutral demographic models constructed from nucleotide polymorphism data. Overall, we propose that TEs are subjected to weak selection, the efficacy of which varies as a function of demographic factors. Thus, demographic effects could be a major factor driving distributions of TEs among plant lineages.

Indexed as

DemographySelection, GeneticArabidopsisDNA Transposable ElementsModels, GeneticMolecular Sequence DataPolymorphism, Single NucleotideProbabilityDNA Transposable Elements

Identifiers

PMID18772373
PMCPMC2544562
OpenAlexW1972156844

What OpenQuestion holds

Textmetadata
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.