Literature DB >> 19099506

Leaf proteome analysis of transgenic plants expressing antiviral antibodies.

Mariasole Di Carli1, Maria Elena Villani, Giovanni Renzone, Luca Nardi, Alessandra Pasquo, Rosella Franconi, Andrea Scaloni, Eugenio Benvenuto, Angiola Desiderio.   

Abstract

The expression of exogenous antibodies in plant is an effective strategy to confer protection against viral infection or to produce molecules with pharmaceutical interest. However, the acceptance of the transgenic technology to obtain self-protecting plants depends on the assessment of their substantial equivalence compared to non-modified crops with an established history of safe use. In fact, the possibility exists that the introduction of transgenes in plants may alter expression of endogenous genes and/or normal production of metabolites. In this study, we investigated whether the expression in plant of recombinant antibodies directed against viral proteins may influence the host leaf proteome. Two transgenic plant models, generated by Agrobacterium tumefaciens-mediated transformation, were analyzed for this purpose, namely, Lycopersicon esculentum cv. MicroTom and Nicotiana benthamiana, expressing recombinant antibodies against cucumber mosaic virus and tomato spotted wilt virus, respectively. To obtain a significant representation of plant proteomes, optimized extraction procedures have been devised for each plant species. The proteome repertoire of antibody-expressing and control plants was compared by 2-DE associated to DIGE technology. Among the 2000 spots detected within the gels, about 10 resulted differentially expressed in each transgenic model and were identified by MALDI-TOF PMF and muLC-ESI-IT-MS/MS procedures. Protein variations were restricted to a limited number of defined differences with an average ratio below 2.4. Most of the differentially expressed proteins were related to photosynthesis or defense function. The overall results suggest that the expression of recombinant antibodies in both systems does not significantly alter the leaf proteomic profile, contributing to assess the biosafety of resistant plants expressing antiviral antibodies.

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Year:  2009        PMID: 19099506     DOI: 10.1021/pr800359d

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

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2.  Natural variation explains most transcriptomic changes among maize plants of MON810 and comparable non-GM varieties subjected to two N-fertilization farming practices.

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Journal:  Plant Mol Biol       Date:  2010-03-27       Impact factor: 4.076

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Authors:  Yongbo Liu; Ying-Xue Zhang; Song-Quan Song; Junsheng Li; C Neal Stewart; Wei Wei; Yujie Zhao; Wei-Qing Wang
Journal:  Sci Rep       Date:  2015-10-21       Impact factor: 4.379

4.  Genetic variation assessment of stacked-trait transgenic maize via conventional breeding.

Authors:  Xujing Wang; Xin Zhang; Jiangtao Yang; Xiaojing Liu; Yaya Song; Zhixing Wang
Journal:  BMC Plant Biol       Date:  2019-08-07       Impact factor: 4.215

5.  Proteomic evaluation of genetically modified crops: current status and challenges.

Authors:  Chun Yan Gong; Tai Wang
Journal:  Front Plant Sci       Date:  2013-03-07       Impact factor: 5.753

6.  Proteomics Analysis to Assess the Role of Mitochondria in BRCA1-Mediated Breast Tumorigenesis.

Authors:  Antonio Concolino; Erika Olivo; Laura Tammè; Claudia Vincenza Fiumara; Maria Teresa De Angelis; Barbara Quaresima; Valter Agosti; Francesco Saverio Costanzo; Giovanni Cuda; Domenica Scumaci
Journal:  Proteomes       Date:  2018-03-27
  6 in total

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