Evidence map›Paper›PMID 25699175›Full record

ReviewGigaScience2015

Optical mapping in plant comparative genomics.

Haibao Tang, Eric Lyons, Christopher D Town

Abstract readReview
In one paragraph

Review in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. The entireAntimicrobial agents and chemotherapy · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Genomic interventions for sustainable agriculture.Plant biotechnology journal · 2020
    Review
  8. Review
  9. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. 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

3 authors.

Haibao TangCenter for Genomics and Biotechnology, Fujian Agriculture and Forestry University, Fuzhou, 350002, Fujian People's Republic of China ; School of Plant Sciences, iPlant Collaborative, University of Arizona, Tucson, AZ 85721 USA.
Eric LyonsSchool of Plant Sciences, iPlant Collaborative, University of Arizona, Tucson, AZ 85721 USA.
Christopher D TownJ. Craig Venter Institute, Rockville, MD 20850 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical mapping has been widely used to improve de novo plant genome assemblies, including rice, maize, Medicago, Amborella, tomato and wheat, with more genomes in the pipeline. Optical mapping provides long-range information of the genome and can more easily identify large structural variations. The ability of optical mapping to assay long single DNA molecules nicely complements short-read sequencing which is more suitable for the identification of small and short-range variants. Direct use of optical mapping to study population-level genetic diversity is currently limited to microbial strain typing and human diversity studies. Nonetheless, optical mapping shows great promise in the study of plant trait development, domestication and polyploid evolution. Here we review the current applications and future prospects of optical mapping in the field of plant comparative genomics.

Indexed as

Genome, PlantChromosome MappingChromosomes, PlantDNA FingerprintingPlantsSequence Analysis, DNAComparative genomicsDe novo assemblyOptical mappingStructural variation

Identifiers

PMID25699175
PMCPMC4332928

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.