Evidence map›Paper›PMID 17697381›Full record

ArticleBMC genomics2007

Validation of rice genome sequence by optical mapping.

Shiguo Zhou, Michael C Bechner, Michael Place, Chris P Churas, Louise Pape, Sally A Leong, Rod Runnheim, Dan K Forrest, Steve Goldstein, Miron Livny and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing 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

66 citing papers in PubMed.

  1. Optical Genome Mapping: A Machine-Based Platform in Cytogenomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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  10. Review
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  12. Maligner: a fast ordered restriction map aligner.Bioinformatics (Oxford, England) · 2016
    Article
  13. Review
  14. Article
  15. Article
  16. Nanotechnologies for biomedical science and translational medicine.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Review
  17. Article
  18. Article
  19. Article
  20. Review

6 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

11 authors.

Shiguo ZhouLaboratory for Molecular and Computational Genomics, University of Wisconsin-Madison, UW Biotechnology Centre, 425 Henry Mall, Madison, Wisconsin 53706, USA. szhou@wisc.edu
Michael C Bechner
Michael Place
Chris P Churas
Louise Pape
Sally A Leong
Rod Runnheim
Dan K Forrest
Steve Goldstein
Miron Livny
David C Schwartz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRice feeds much of the world, and possesses the simplest genome analyzed to date within the grass family, making it an economically relevant model system for other cereal crops. Although the rice genome is sequenced, validation and gap closing efforts require purely independent means for accurate finishing of sequence build data.

resultsTo facilitate ongoing sequencing finishing and validation efforts, we have constructed a whole-genome SwaI optical restriction map of the rice genome. The physical map consists of 14 contigs, covering 12 chromosomes, with a total genome size of 382.17 Mb; this value is about 11% smaller than original estimates. 9 of the 14 optical map contigs are without gaps, covering chromosomes 1, 2, 3, 4, 5, 7, 8 10, and 12 in their entirety - including centromeres and telomeres. Alignments between optical and in silico restriction maps constructed from IRGSP (International Rice Genome Sequencing Project) and TIGR (The Institute for Genomic Research) genome sequence sources are comprehensive and informative, evidenced by map coverage across virtually all published gaps, discovery of new ones, and characterization of sequence misassemblies; all totalling ~14 Mb. Furthermore, since optical maps are ordered restriction maps, identified discordances are pinpointed on a reliable physical scaffold providing an independent resource for closure of gaps and rectification of misassemblies.

conclusionAnalysis of sequence and optical mapping data effectively validates genome sequence assemblies constructed from large, repeat-rich genomes. Given this conclusion we envision new applications of such single molecule analysis that will merge advantages offered by high-resolution optical maps with inexpensive, but short sequence reads generated by emerging sequencing platforms. Lastly, map construction techniques presented here points the way to new types of comparative genome analysis that would focus on discernment of structural differences revealed by optical maps constructed from a broad range of rice subspecies and varieties.

Indexed as

Genome, PlantOptics and PhotonicsCentromereChromosomes, PlantOryzaSequence Analysis, DNATelomere

Identifiers

PMID17697381
PMCPMC2048515

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.