Evidence map›Paper›PMID 27874056›Full record

ArticleScientific reports2016

Genomic regions responsible for amenability to Agrobacterium-mediated transformation in barley.

Hiroshi Hisano, Kazuhiro Sato

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid development of naked malting barley germplasm through targeted mutagenesis.Molecular breeding : new strategies in plant improvement · 2025
    Article
  4. Article
  5. Article
  6. Targeted Modification of Grain Dormancy Genes in Barley.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Regulation of Seed Dormancy Genes in Triticeae Species.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. History and future perspectives of barley genomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2020
    Review
  16. Article
  17. Frontiers in plant science · 2020
    Article
  18. Article
  19. Article
  20. Plant synthetic biology could drive a revolution in biofuels and medicine.Experimental biology and medicine (Maywood, N.J.) · 2019
    Review
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

2 authors.

Hiroshi HisanoInstitute of Plant Science and Resources, Okayama University, 2-20-1 Chuo, Kurashiki, Okayama 710-0046 Japan.
Kazuhiro SatoInstitute of Plant Science and Resources, Okayama University, 2-20-1 Chuo, Kurashiki, Okayama 710-0046 Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different plant cultivars of the same genus and species can exhibit vastly different genetic transformation efficiencies. However, the genetic factors underlying these differences in transformation rate remain largely unknown. In barley, 'Golden Promise' is one of a few cultivars reliable for Agrobacterium-mediated transformation. By contrast, cultivar 'Haruna Nijo' is recalcitrant to genetic transformation. We identified genomic regions of barley important for successful transformation with Agrobacterium, utilizing the 'Haruna Nijo' × 'Golden Promise' F

Indexed as

Genome, PlantTransformation, GeneticAgrobacteriumAllelesChromosome SegregationCloning, MolecularCrosses, GeneticEpistasis, GeneticGene FrequencyGenes, PlantGenetic Complementation TestGenetic LociGenetic MarkersGenotypeHordeumPlants, Genetically ModifiedGenetic Markers

Identifiers

PMID27874056
PMCPMC5118740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.