Genetic Transformation in Peach (Prunus persica L.): Challenges and Ways Forward

Autor: Margarita Pérez-Jiménez, Bruno Mezzetti, Cecilia Limera, Chris Dardick, Cesar Petri, Li Zhijian, Isabel Mg Padilla, Lorenzo Burgos, A. Ricci, Ralph Scorza, Humberto Prieto, Silvia Sabbadini
Přispěvatelé: European Commission, European Cooperation in Science and Technology
Rok vydání: 2020
Předmět:
Zdroj: Plants
Plants, Vol 9, Iss 971, p 971 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
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ISSN: 2223-7747
DOI: 10.3390/plants9080971
Popis: Almost 30 years have passed since the first publication reporting regeneration of transformed peach plants. Nevertheless, the general applicability of genetic transformation of this species has not yet been established. Many strategies have been tested in order to obtain an efficient peach transformation system. Despite the amount of time and the efforts invested, the lack of success has significantly limited the utility of peach as a model genetic system for trees, despite its relatively short generation time; small, high-quality genome; and well-studied genetic resources. Additionally, the absence of efficient genetic transformation protocols precludes the application of many biotechnological tools in peach breeding programs. In this review, we provide an overview of research on regeneration and genetic transformation in this species and summarize novel strategies and procedures aimed at producing transgenic peaches. Promising future approaches to develop a robust peach transformation system are discussed, focusing on the main bottlenecks to success including the low efficiency of A. tumefaciens-mediated transformation, the low level of correspondence between cells competent for transformation and those that have regenerative competence, and the high rate of chimerism in the few shoots that are produced following transformation.
This research was partially funded by New Plant (Italy) and Vitroplant Italia SRL. Authors thank the excellent technical assistant of Ahn Silverstein and Mark Demuth. We acknowledge also the COST—iPLANTA project supported by the European Union’s Horizon 2020 research and innovation program under grant agreement CA15223.
Databáze: OpenAIRE