Evidence map›Paper›PMID 20535472›Full record

ArticlePlant cell reports2010

Genetic transformation of sweet sorghum.

Anshu Raghuwanshi, Robert G Birch

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In one paragraph

Article in Plant cell reports, 2010. 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. Article
  3. Sorghum as a monocot model for drought research.Frontiers in plant science · 2025
    Review
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  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Progress in Optimization ofInternational journal of molecular sciences · 2018
    Review
  16. Review
  17. Review
  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

2 authors.

Anshu RaghuwanshiBotany Department/BIOL, The University of Queensland, Brisbane, 4072, Australia.
Robert G Birch

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sweet sorghum has substantial potential as a biofuel feedstock, with advantages in some environments over alternatives such as sugarcane or maize. Gene technologies are likely to be important to achieve yields sufficient for food, fuel and fibre production from available global croplands, but sorghum has proven difficult to transform. Tissue culture recalcitrance and poor reproducibility of transformation protocols remain major challenges for grain sorghum, and there has been no reported success for sweet sorghum. Here we describe a repeatable transformation system for sweet sorghum, based on (1) optimized tissue culture conditions for embryogenic callus production with >90% regenerability in 12-week-old calli, and (2) an effective selection regimen for hygromycin resistance conferred by a Ubi-hpt transgene following particle bombardment. Using this method, we have produced sixteen independent transgenic lines from multiple batches at an overall efficiency of 0.09% transformants per excised immature embryo. Co-expression frequency of a non-selected luciferase reporter was 62.5%. Transgene integration and expression were confirmed in T(0) and T(1) plants by Southern analysis and luciferase assays. This success using the major international sweet sorghum cultivar Ramada provides a foundation for molecular improvement of sweet sorghum through the use of transgenes. Factors likely to be important for success with other sweet sorghum cultivars are identified.

Indexed as

Gene Transfer TechniquesTransformation, GeneticDNA, PlantGene Expression Regulation, PlantPlants, Genetically ModifiedSorghumTissue Culture TechniquesTransgenesDNA, Plant

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.