Evidence map›Paper›PMID 9291964›Full record

ReviewPlant molecular biology1997

Physical mapping of the rice genome with YAC clones.

N Kurata, Y Umehara, H Tanoue, T Sasaki

Abstract readReview
PubMed
In one paragraph

Review in Plant molecular biology, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. IC4R-2.0: Rice Genome Reannotation Using Massive RNA-seq Data.Genomics, proteomics & bioinformatics · 2020
    Article
  3. Article
  4. A 1,000-loci transcript map of the barley genome: new anchoring points for integrative grass genomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2007
    Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Screening for overlapping bacterial artificial chromosome clones by PCR analysis with an arbitrary primer.Proceedings of the National Academy of Sciences of the United States of America · 1998
    Article
  19. Toward a plant genomics initiative: thoughts on the value of cross-species and cross-genera comparisons in the grasses.Proceedings of the National Academy of Sciences of the United States of America · 1998
    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

4 authors.

N KurataRice Genome Research Program, National Institute of Agrobiological Resources/STAFF Institute, Ibaraki, Japan.
Y Umehara
H Tanoue
T Sasaki

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Construction of a rice physical map covered by YAC clones which have been arranged over half of the genome length is presented here. A total of 1285 RFLP and RAPD markers almost evenly distributed on the rice genetic map could select 2974 YAC clones and 2443 clones of them were located on their original positions. Rice YACs carrying 350 kb average insert fragments of 2443 clones could cover 222 megabase length of the rice genome, corresponding to 52% of the whole genome size (4.3 Mb). Chromosome landing with many YAC clones on the high-density genetic map loci efficiently integrated the genetic map with a physical map. This is the first step to generate a comprehensive genome map of rice. An integrated genome map should be an indispensable tool to figure out genome structure as well as to clone trait genes by map-based cloning.

Indexed as

Chromosomes, Artificial, YeastGenome, PlantChromosome MappingCloning, MolecularGene LibraryOryza

Identifiers

PMID9291964

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.