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Evaluación de los efectos no intencionados de los transgenes en plantas modificadas genéticamente (MG) resistentes a plagas y diseñadas como biofactorías de péptidos antimicrobianos

Authors: Montero Mirabet, Maria;

Evaluación de los efectos no intencionados de los transgenes en plantas modificadas genéticamente (MG) resistentes a plagas y diseñadas como biofactorías de péptidos antimicrobianos

Abstract

Les plantes modificades genèticament (MG) destinades a comercialització estan sotmeses a estricta legislació per garantir la seguretat del consumidor i del medi ambient. Per complementar la comparativa entre plantes MG i convencionals, en aquesta tesi s’ha abordat l’avaluació dels possibles efectes no esperats del transgèn sobre la planta hoste, mitjançant tècniques de transcriptòmica. Concretament s’han estudiat línies d'arròs MG que presenten fenotips de resistència a patògens: S-afp, que expressa constitutivament la proteïna antifúngica AFP, i S-bp213 i S-bp217, que expressen derivats de l’undecapèptid BP100, desenvolupat a la UdG, que s’han obtingut també en el marc d’aquesta tesi. Malgrat l’elevada fitotoxicitat dels derivats de BP100 enfront la planta hoste, els canvis transcripcionals de S-afp, S-bp213 i S-bp217 respecte la línia convencional Senia són similars als observats en altres events MG, de diferents espècies i amb diferents transgens; i només la meitat d’ells s’ha atribuit a la presència o expressió del transgèn.

Genetically modified crops are submitted to strict regulation to ensure the safety of consumers and the environment. To complement the comparison between GM plants and their counterparts, in the present Thesis, we evaluated the possible unexpected effects of the transgene on the host plant, by means of transcriptomic technologies. More exactly, we studied three pathogen-resistant GM rice lines: S-afp, expressing constitutively the antifungal protein AFP; and S-bp217 and S-bp213, expressing undecapeptide BP100 derivatives, which were developed in the UdG in the context of this Thesis. Although the high phytotoxicity of the BP100 derivatives on the host plant the transcriptional changes observed in S-afp, S-bp217 and S-bp213 compared to the conventional line Senia were similar that those observed in other GM crops, of other species and with different transgenes, and only the half of them was attributed to the insertion and/or expression of the transgene.

Country
Spain
Related Organizations
Keywords

Anàlisi generalista, Tesis i dissertacions acadèmiques, Organismos modificados genéticamente, Péptidos antimicrobianos, Profiling, 633, 575 - Genètica general. Citogenètica general. Immunogenètica. Evolució. Filogènia, Genetically modified rice pathogen resistant, 575, Organismes modificats genèticament, Expressión heteróloga en planta, Efectos no intencionados del transgén, Genetically modified organisms, Pèptids antimicrobians, Heterologous expression in plant, Análisis generalista, Antimicrobial peptides, Efectes no intencionats del transgèn, Expressió heterologa en planta, 633 - Cultius i produccions, Unexpected effects of the transgene, Arroz modificado genéticamente resistente a patógenos, Arrós modificat genèticament resistent a patògens

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average