Evidence map›Paper›PMID 23324472›Full record

ArticleBMC genomics2013

RNAi phenotypes are influenced by the genetic background of the injected strain.

Peter Kitzmann, Jonas Schwirz, Christian Schmitt-Engel, Gregor Bucher

Abstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

25 citing papers in PubMed.

  1. Article
  2. Review
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. A Role forDevelopment & reproduction · 2019
    Article
  12. Article
  13. Article
  14. A key role forDevelopment (Cambridge, England) · 2017
    Article
  15. RNAi technology: a new platform for crop pest control.Physiology and molecular biology of plants : an international journal of functional plant biology · 2017
    Review
  16. Frontiers in zoology · 2017
    Article
  17. Article
  18. Article
  19. Review
  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.

Peter KitzmannDepartment of Developmental Biology, Blumenbach Institute of Zoology, Göttingen Center of Molecular Biology, Georg-August-University Göttingen, Göttingen, Germany.
Jonas Schwirz
Christian Schmitt-Engel
Gregor Bucher

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA interference (RNAi) is a powerful tool to study gene function in organisms that are not amenable to classical forward genetics. Hence, together with the ease of comprehensively identifying genes by new generation sequencing, RNAi is expanding the scope of animal species and questions that can be addressed in terms of gene function. In the case of genetic mutants, the genetic background of the strains used is known to influence the phenotype while this has not been described for RNAi experiments.

resultsHere we show in the red flour beetle Tribolium castaneum that RNAi against Tc-importin α1 leads to different phenotypes depending on the injected strain. We rule out off target effects and show that sequence divergence does not account for this difference. By quantitatively comparing phenotypes elicited by RNAi knockdown of four different genes we show that there is no general difference in RNAi sensitivity between these strains. Finally, we show that in case of Tc-importin α1 the difference depends on the maternal genotype.

conclusionsThese results show that in RNAi experiments strain specific differences have to be considered and that a proper documentation of the injected strain is required. This is especially important for the increasing number of emerging model organisms that are being functionally investigated using RNAi. In addition, our work shows that RNAi is suitable to systematically identify the differences in the gene regulatory networks present in populations of the same species, which will allow novel insights into the evolution of animal diversity.

Indexed as

PhenotypeRNA Interferencealpha KaryopherinsAmino Acid SequenceAnimalsFemaleGene Expression Regulation, DevelopmentalGene Knockdown TechniquesInjectionsInsect ProteinsMaleMolecular Sequence DataMothersSpecies SpecificityTriboliumalpha KaryopherinsInsect Proteinskaryopherin alpha 2

Identifiers

PMID23324472
PMCPMC3574008

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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.