Literature DB >> 18551377

Genetic transformation of the sugar beet plastome.

Francesca De Marchis1, Yongxin Wang, Piergiorgio Stevanato, Sergio Arcioni, Michele Bellucci.   

Abstract

It is very important for the application of chloroplast engineering to extend the range of species in which this technology can be achieved. Here, we describe the development of a chloroplast transformation system for the sugar beet (Beta vulgaris L. ssp. vulgaris, Sugar Beet Group) by biolistic bombardment of leaf petioles. Homoplasmic plastid-transformed plants of breeding line Z025 were obtained. Transformation was achieved using a vector that targets genes to the rrn16/rps12 intergenic region of the sugar beet plastome, employing the aadA gene as a selectable marker against spectinomycin and the gfp gene for visual screening of plastid transformants. gfp gene transcription and protein expression were shown in transplastomic plants. Detection of GFP in Comassie blue-stained gels suggested high GFP levels. Microscopy revealed GFP fluorescence within the chloroplasts. Our results demonstrate the feasibility of engineering the sugar beet chloroplast genome; this technology provides new opportunities for the genetic improvement of this crop and for social acceptance of genetically modified sugar beet plants.

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Year:  2008        PMID: 18551377     DOI: 10.1007/s11248-008-9193-4

Source DB:  PubMed          Journal:  Transgenic Res        ISSN: 0962-8819            Impact factor:   2.788


  43 in total

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Journal:  Environ Biosafety Res       Date:  2007-07-06

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  13 in total

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Review 2.  Advanced genetic tools for plant biotechnology.

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Review 5.  Engineering the plastid and mitochondrial genomes of flowering plants.

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6.  Pollen dispersal in sugar beet production fields.

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Review 7.  The Engineered Chloroplast Genome Just Got Smarter.

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8.  Spontaneous spectinomycin resistance mutations detected after biolistic transformation of Daucus carota L.

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9.  Plant plastid engineering.

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Review 10.  Plastid genomics in horticultural species: importance and applications for plant population genetics, evolution, and biotechnology.

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