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Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants

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 biote...

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Autores principales: Ontiveros-Cisneros, Abraham, Moss, Oliver, Van Moerkercke, Alex, Van Aken, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997383/
https://www.ncbi.nlm.nih.gov/pubmed/35406632
http://dx.doi.org/10.3390/cells11071068
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author Ontiveros-Cisneros, Abraham
Moss, Oliver
Van Moerkercke, Alex
Van Aken, Olivier
author_facet Ontiveros-Cisneros, Abraham
Moss, Oliver
Van Moerkercke, Alex
Van Aken, Olivier
author_sort Ontiveros-Cisneros, Abraham
collection PubMed
description 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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spelling pubmed-89973832022-04-12 Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants Ontiveros-Cisneros, Abraham Moss, Oliver Van Moerkercke, Alex Van Aken, Olivier Cells Article 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. MDPI 2022-03-22 /pmc/articles/PMC8997383/ /pubmed/35406632 http://dx.doi.org/10.3390/cells11071068 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ontiveros-Cisneros, Abraham
Moss, Oliver
Van Moerkercke, Alex
Van Aken, Olivier
Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title_full Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title_fullStr Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title_full_unstemmed Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title_short Evaluation of Antibiotic-Based Selection Methods for Camelina sativa Stable Transformants
title_sort evaluation of antibiotic-based selection methods for camelina sativa stable transformants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8997383/
https://www.ncbi.nlm.nih.gov/pubmed/35406632
http://dx.doi.org/10.3390/cells11071068
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