Evidence map›Paper›PMID 42720113›Full record

ArticleeLife2026

The genetic control of rapid genome content divergence in

Christopher J Fiscus, Daniel Koenig

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Christopher J FiscusDepartment of Botany and Plant Sciences, University of California, Riverside, United States.ORCID https://orcid.org/0000-0001-9569-1809
Daniel KoenigDepartment of Botany and Plant Sciences, University of California, Riverside, United States.ORCID https://orcid.org/0000-0002-1037-5346

Funding

Acquisition of a Scalable Storage Cluster for Data Intensive NIH ResearchS10OD016290 · OD · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI GIRKE, THOMAS · 2014 to 2014
$593k
National Science Foundation IOS-2046256NIH HHS S10 OD016290
6 · The paper itself

Abstract

Genome evolution in eukaryotes is predominantly driven by the dynamics of repetitive sequences, which vary widely in both copy number and sequence composition. Rates of repeat evolution differ between and within species and are likely modulated by both genetics and environment. To uncover factors shaping the rate of genome content evolution, we analyzed 1043 resequenced

Indexed as

ArabidopsisEvolution, MolecularGenetic VariationGenome, PlantDNA Copy Number VariationsGenome-Wide Association StudyRepetitive Sequences, Nucleic AcidA. thalianaevolutiongeneticsgenome evolutiongenomicsGWASK-mersrepetitive sequences

Identifiers

PMID42720113
PMCPMC13561513

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.