Evidence map›Paper›PMID 31541084›Full record

ArticleNature communications2019

Linked-read sequencing of gametes allows efficient genome-wide analysis of meiotic recombination.

Hequan Sun, Beth A Rowan, Pádraic J Flood, Ronny Brandt, Janina Fuss, Angela M Hancock, Richard W Michelmore, Bruno Huettel, Korbinian Schneeberger

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

40 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Polymorphic transposable elements contribute to variation in recombination landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. The Bioinformatic Applications of Hi-C and Linked Reads.Genomics, proteomics & bioinformatics · 2024
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 2 institutions in 2 countries.

Hequan SunDepartment of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.ORCID http://orcid.org/0000-0003-2046-2109
Beth A RowanThe Genome Center and Department of Plant Sciences, University of California, Davis, 451 East Health Sciences Drive, Davis, CA, 95616, USA. browan@ucdavis.edu.
Pádraic J FloodDepartment of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.
Ronny BrandtMax Planck-Genome-Center Cologne, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.
Janina FussMax Planck-Genome-Center Cologne, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.
Angela M HancockDepartment of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.ORCID http://orcid.org/0000-0002-4768-3377
Richard W MichelmoreThe Genome Center and Department of Plant Sciences, University of California, Davis, 451 East Health Sciences Drive, Davis, CA, 95616, USA.
Bruno HuettelMax Planck-Genome-Center Cologne, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany.ORCID http://orcid.org/0000-0001-7165-1714
Korbinian SchneebergerDepartment of Chromosome Biology, Max Planck Institute for Plant Breeding Research, Carl-von-Linné-Weg 10, 50829, Cologne, Germany. schneeberger@mpipz.mpg.de.ORCID http://orcid.org/0000-0002-5512-0443
Max Planck Institute for Plant Breeding Research · DEUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meiotic crossovers (COs) ensure proper chromosome segregation and redistribute the genetic variation that is transmitted to the next generation. Large populations and the demand for genome-wide, fine-scale resolution challenge existing methods for CO identification. Taking advantage of linked-read sequencing, we develop a highly efficient method for genome-wide identification of COs at kilobase resolution in pooled recombinants. We first test this method using a pool of Arabidopsis F

Indexed as

Germ CellsRecombination, GeneticArabidopsisChromosome BreakpointsComputational BiologyCrossing Over, GeneticDNA MethylationGenome, PlantGenomicsGenotypeGenotyping TechniquesHaplotypesHomologous RecombinationPollenSequence Analysis, DNAWhole Genome Sequencing

Identifiers

PMID31541084
PMCPMC6754367
OpenAlexW2973926808

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.