Evidence map›Paper›PMID 31527048›Full record

ArticleGenetics2019

An Ultra High-Density

Beth A Rowan, Darren Heavens, Tatiana R Feuerborn, Andrew J Tock, Ian R Henderson, Detlef Weigel

Abstract read
In one paragraph

Article in Genetics, 2019. 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. Article
  5. Article
  6. Breeding better crops: lessons from the homologous recombination pathway.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. ThebioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

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

6 authors.

Beth A RowanDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany browan@ucdavis.edu.ORCID 0000-0001-7240-4889
Darren HeavensEarlham Institute, Norwich NR4 7UZ, United Kingdom.ORCID 0000-0001-5418-7868
Tatiana R FeuerbornDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.ORCID 0000-0003-1610-3402
Andrew J TockDepartment of Plant Sciences, University of Cambridge, CB2 3EA, United Kingdom.ORCID 0000-0002-6590-8314
Ian R HendersonDepartment of Plant Sciences, University of Cambridge, CB2 3EA, United Kingdom.ORCID 0000-0001-5066-1489
Detlef WeigelDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, 72076 Tübingen, Germany.ORCID 0000-0002-2114-7963

Funding

Biotechnology and Biological Sciences Research Council BB/N007557/1
6 · The paper itself

Abstract

Many environmental, genetic, and epigenetic factors are known to affect the frequency and positioning of meiotic crossovers (COs). Suppression of COs by large, cytologically visible inversions and translocations has long been recognized, but relatively little is known about how smaller structural variants (SVs) affect COs. To examine fine-scale determinants of the CO landscape, including SVs, we used a rapid, cost-effective method for high-throughput sequencing to generate a precise map of >17,000 COs between the Col-0 and L

Indexed as

Crossing Over, GeneticEpigenesis, GeneticGenomic Structural VariationArabidopsisChromosome MappingChromosomes, PlantGenetic Locidouble-strand breakgenetic mapmeiosisrecombinationstructural variation

Identifiers

PMID31527048
PMCPMC6827372

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.