alexa Progress towards Germ-Line Transformation of the Butter
ISSN: 2329-6682

Gene Technology
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Research Article

Progress towards Germ-Line Transformation of the Butterfly Pieris rapae L. (Lepidoptera: Pieridae)

Andrew M Stoehr, Xiaoling Tong, Ondrej Podlahas and Antónia Monteiro*
Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06511, USA
Corresponding Author : Antónia Monteiro
Department of Ecology and Evolutionary Biology
Yale University, New Haven, CT 06511, USA
Tel: 65 9755 1591
E-mail: [email protected]
Received June 12, 2015; Accepted July 10, 2015; Published Jull 13, 2015
Citation: Stoehr AM, Tong X, Podlahas O, Monteiro A (2015) Progress towards Germ-Line Transformation of the Butterfly Pieris rapae L. (Lepidoptera: Pieridae). Gene Technology S1:002. doi: 10.4172/2329-6682.S1-002
Copyright: © 2015 Stoehr AM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Germ line transformation is a powerful research tool to probe and manipulate gene function but currently the number of insect species transformed is small and biased towards Diptera. Here we develop transgenic techniques for a butterfly in the family Pieridae, the widely-studied cabbage white butterfly (Pieris rapae L; Lepidoptera: Pieridae). Germ line transformation of pierids is useful because butterfly wing patterns have become model systems in evolutionary developmental biology, and the previously transformed butterflies are members of a different family, the nymphalids. We used a piggyBac[3xP3-EGFP] construct as a marker for germ line transformation and obtained a single transformed adult that did not reproduce but which displayed fluorescence in its eyes. After identifying the genomic insertion site for the construct we conclude that this individual was likely transgenic. However, short of longer-term inheritance data, we discuss two less likely alternative possibilities for our data.


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