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TALEN-Based Gene Disruption in the Dengue Vector Aedes aegypti

Overview of attention for article published in PLOS ONE, March 2013
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Title
TALEN-Based Gene Disruption in the Dengue Vector Aedes aegypti
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0060082
Pubmed ID
Authors

Azadeh Aryan, Michelle A. E. Anderson, Kevin M. Myles, Zach N. Adelman

Abstract

In addition to its role as the primary vector for dengue viruses, Aedes aegypti has a long history as a genetic model organism for other bloodfeeding mosquitoes, due to its ease of colonization, maintenance and reproductive productivity. Though its genome has been sequenced, functional characterization of many Ae. aegypti genes, pathways and behaviors has been slow. TALE nucleases (TALENs) have been used with great success in a number of organisms to generate site-specific DNA lesions. We evaluated the ability of a TALEN pair to target the Ae. aegypti kmo gene, whose protein product is essential in the production of eye pigmentation. Following injection into pre-blastoderm embryos, 20-40% of fertile survivors produced kmo alleles that failed to complement an existing kh(w) mutation. Most of these individuals produced more than 20% white-eyed progeny, with some producing up to 75%. Mutant alleles were associated with lesions of 1-7 bp specifically at the selected target site. White-eyed individuals could also be recovered following a blind intercross of G1 progeny, yielding several new white-eyed strains in the genetic background of the sequenced Liverpool strain. We conclude that TALENs are highly active in the Ae. aegypti germline, and have the potential to transform how reverse genetic experiments are performed in this important disease vector.

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Geographical breakdown

Country Count As %
United States 6 4%
Japan 3 2%
France 2 1%
United Kingdom 2 1%
China 1 <1%
Italy 1 <1%
Brazil 1 <1%
Philippines 1 <1%
Unknown 118 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 26%
Student > Ph. D. Student 33 24%
Student > Master 24 18%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 19 14%
Unknown 6 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 54%
Biochemistry, Genetics and Molecular Biology 32 24%
Medicine and Dentistry 4 3%
Environmental Science 3 2%
Social Sciences 3 2%
Other 10 7%
Unknown 10 7%