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Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
Abraham Ontiveros-Cisneros1, Oliver Moss1, Alex Van Moerkercke1
1Molecular Cell Biology, Department of Biology, Lund University, Sölvegatan 35, 223 62 Lund, Sweden.
Abstract:
Camelina sativa (Camelina) is an oilseed crop that in recent years has gained importance due to its closeness to the plant model organism Arabidopsis thaliana (Arabidopsis), its low agronomical requirements, and the ability to grow under temperate conditions. To explore all the agronomical and biotechnological possibilities of this crop, it is important to evaluate the usability of the molecular procedures currently available for plants. One of the main tools for plant genetic modification and genetic studies is stable plant transformation. In the case of Arabidopsis, as well as Camelina, floral dipping is the easiest and most used method, which is followed by a selection for stable transformants. Commonly used selection methods for Camelina involve Discosoma sp. red protein (DsRed) fluorescence screening. However, many widely used plant transformation vector systems, for example those used in Arabidopsis and grasses, rely on antibiotic resistance selection. In this study, we evaluated the usability of different antibiotics including kanamycin (Kan), hygromycin (Hyg) and BASTA, and propose optimised protocols for selecting T1 and subsequent generation Camelina transformants, as well as crossing of Camelina lines expressing different transgenes. Finally, we also showed that overexpression of genes encoding enzymes from the seco-iridoid pathway of Catharanthus roseus using Hyg or BASTA-based expression constructs could be successfully achieved in Camelina, demonstrating the potential of these methods for metabolic engineering. Overall, in this study we show an efficient way to sterilize seeds, handle and perform selection of Camelina for use with transformation vectors designed for Arabidopsis thaliana. We also demonstrate a successful method to cross Camelina sativa and provide qRT-PCR results to prove its effectiveness.
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