Author
Listed:
- Christian Schmitt-Engel
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen
Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Dorothea Schultheis
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Jonas Schwirz
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Nadi Ströhlein
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Nicole Troelenberg
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Upalparna Majumdar
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Van Anh Dao
(Institut für Entwicklungsbiologie, Universität zu Köln)
- Daniela Grossmann
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Tobias Richter
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Maike Tech
(Institut für Mikrobiologie und Genetik, Georg-August-Universität Göttingen)
- Jürgen Dönitz
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen
Institut für Mikrobiologie und Genetik, Georg-August-Universität Göttingen
Universitätsmedizin Göttingen)
- Lizzy Gerischer
(Institut für Mathematik und Informatik, Ernst Moritz Arndt Universität Greifswald)
- Mirko Theis
(TU Dresden, Medical Faculty Carl Gustav Carus, Medical Systems Biology
Eupheria Biotech GmbH)
- Inga Schild
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Jochen Trauner
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Nikolaus D. B. Koniszewski
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Elke Küster
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Sebastian Kittelmann
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Yonggang Hu
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Sabrina Lehmann
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Janna Siemanowski
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Julia Ulrich
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Kristen A. Panfilio
(Institut für Entwicklungsbiologie, Universität zu Köln)
- Reinhard Schröder
(Universität Rostock)
- Burkhard Morgenstern
(Institut für Mikrobiologie und Genetik, Georg-August-Universität Göttingen)
- Mario Stanke
(Institut für Mathematik und Informatik, Ernst Moritz Arndt Universität Greifswald)
- Frank Buchhholz
(TU Dresden, Medical Faculty Carl Gustav Carus, Medical Systems Biology)
- Manfred Frasch
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Siegfried Roth
(Institut für Entwicklungsbiologie, Universität zu Köln)
- Ernst A. Wimmer
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
- Michael Schoppmeier
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Martin Klingler
(Entwicklungsbiologie, Friedrich-Alexander-Universität Erlangen-Nürnberg)
- Gregor Bucher
(Johann-Friedrich-Blumenbach-Institut, GZMB, Georg-August-Universität Göttingen)
Abstract
Genetic screens are powerful tools to identify the genes required for a given biological process. However, for technical reasons, comprehensive screens have been restricted to very few model organisms. Therefore, although deep sequencing is revealing the genes of ever more insect species, the functional studies predominantly focus on candidate genes previously identified in Drosophila, which is biasing research towards conserved gene functions. RNAi screens in other organisms promise to reduce this bias. Here we present the results of the iBeetle screen, a large-scale, unbiased RNAi screen in the red flour beetle, Tribolium castaneum, which identifies gene functions in embryonic and postembryonic development, physiology and cell biology. The utility of Tribolium as a screening platform is demonstrated by the identification of genes involved in insect epithelial adhesion. This work transcends the restrictions of the candidate gene approach and opens fields of research not accessible in Drosophila.
Suggested Citation
Christian Schmitt-Engel & Dorothea Schultheis & Jonas Schwirz & Nadi Ströhlein & Nicole Troelenberg & Upalparna Majumdar & Van Anh Dao & Daniela Grossmann & Tobias Richter & Maike Tech & Jürgen Dönitz, 2015.
"The iBeetle large-scale RNAi screen reveals gene functions for insect development and physiology,"
Nature Communications, Nature, vol. 6(1), pages 1-10, November.
Handle:
RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms8822
DOI: 10.1038/ncomms8822
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