pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa
Alfalfa is the main forage worldwide due to its high biomass production, excellent nutritional qualities and adaptation to a wide range of environments (Singer et al. 2018). Besides, due to its ability to grow without nitrogen fertilizers derived from fossil fuels and conditions of long-duration per...
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| Format: | info:ar-repo/semantics/artículo |
| Language: | Inglés |
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Springer
2020
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| Online Access: | http://hdl.handle.net/20.500.12123/7732 https://link.springer.com/article/10.1007/s00299-020-02521-3 https://doi.org/10.1007/s00299-020-02521-3 |
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| author | Pascuan, Cecilia Gabriela Bottero, Ana Emilia Kapros, Tamas Ayub, Nicolás Daniel Soto, Gabriela Cynthia |
| author_browse | Ayub, Nicolás Daniel Bottero, Ana Emilia Kapros, Tamas Pascuan, Cecilia Gabriela Soto, Gabriela Cynthia |
| author_facet | Pascuan, Cecilia Gabriela Bottero, Ana Emilia Kapros, Tamas Ayub, Nicolás Daniel Soto, Gabriela Cynthia |
| author_sort | Pascuan, Cecilia Gabriela |
| collection | INTA Digital |
| description | Alfalfa is the main forage worldwide due to its high biomass production, excellent nutritional qualities and adaptation to a wide range of environments (Singer et al. 2018). Besides, due to its ability to grow without nitrogen fertilizers derived from fossil fuels and conditions of long-duration perennial crop, alfalfa is a natural candidate for large production of renewable raw materials and vaccines at extremely low cost (Aguirreburualde et al. 2013; Saruul et al. 2002). However, the potential impact of alfalfa in agroindustrial processes is limited by strong transgene silencing. In the absence of genetic tools to bypass this constraint, the identification of alfalfa events with suitable transgene expression for commercial uses (e.g., high expression of transgenic traits) requires the production and analysis of a large number (e.g., 2000–3000) of transgenic events (Barros et al. 2019; Jozefkowicz et al. 2018; McCaslin et al. 2002). Naturally, this is an expensive empirical approach restricted to projects with high budget. |
| format | info:ar-repo/semantics/artículo |
| id | INTA7732 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| publisherStr | Springer |
| record_format | dspace |
| spelling | INTA77322020-08-18T14:57:17Z pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa Pascuan, Cecilia Gabriela Bottero, Ana Emilia Kapros, Tamas Ayub, Nicolás Daniel Soto, Gabriela Cynthia Medicago sativa Genética Plantas Transgénicas Vectores Genetics Transgenic Plants Vectors Alfalfa Lucerne Alfalfa is the main forage worldwide due to its high biomass production, excellent nutritional qualities and adaptation to a wide range of environments (Singer et al. 2018). Besides, due to its ability to grow without nitrogen fertilizers derived from fossil fuels and conditions of long-duration perennial crop, alfalfa is a natural candidate for large production of renewable raw materials and vaccines at extremely low cost (Aguirreburualde et al. 2013; Saruul et al. 2002). However, the potential impact of alfalfa in agroindustrial processes is limited by strong transgene silencing. In the absence of genetic tools to bypass this constraint, the identification of alfalfa events with suitable transgene expression for commercial uses (e.g., high expression of transgenic traits) requires the production and analysis of a large number (e.g., 2000–3000) of transgenic events (Barros et al. 2019; Jozefkowicz et al. 2018; McCaslin et al. 2002). Naturally, this is an expensive empirical approach restricted to projects with high budget. Instituto de Genética Fil: Pascuan, Cecilia Gabriela. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética e Instituto de Biotecnología; Argentina Fil: Bottero, Ana Emilia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética e Instituto de Biotecnología; Argentina Fil: Kapros, Tamas. University of Missouri-Kansas City. School of Biological and Chemical Sciences; Estados Unidos Fil: Ayub, Nicolás Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética e Instituto de Biotecnología; Argentina Fil: Soto, Gabriela Cynthia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Genética e Instituto de Biotecnología; Argentina 2020-08-18T14:50:48Z 2020-08-18T14:50:48Z 2020-03 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/7732 https://link.springer.com/article/10.1007/s00299-020-02521-3 0721-7714 1432-203X https://doi.org/10.1007/s00299-020-02521-3 eng info:eu-repo/semantics/restrictedAccess application/pdf Springer Plant Cell Reports 39 : 683–685 (2020) |
| spellingShingle | Medicago sativa Genética Plantas Transgénicas Vectores Genetics Transgenic Plants Vectors Alfalfa Lucerne Pascuan, Cecilia Gabriela Bottero, Ana Emilia Kapros, Tamas Ayub, Nicolás Daniel Soto, Gabriela Cynthia pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title | pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title_full | pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title_fullStr | pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title_full_unstemmed | pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title_short | pBAR–H3.2, a native-optimized binary vector to bypass transgene silencing in alfalfa |
| title_sort | pbar h3 2 a native optimized binary vector to bypass transgene silencing in alfalfa |
| topic | Medicago sativa Genética Plantas Transgénicas Vectores Genetics Transgenic Plants Vectors Alfalfa Lucerne |
| url | http://hdl.handle.net/20.500.12123/7732 https://link.springer.com/article/10.1007/s00299-020-02521-3 https://doi.org/10.1007/s00299-020-02521-3 |
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