Literature DB >> 19840761

A comparative proteomics approach to detect unintended effects in transgenic Arabidopsis.

Yanfei Ren1, Jun Lv, Hua Wang, Linchuan Li, Yufa Peng, Li-Jia Qu.   

Abstract

Recently, as part of biosafety assessments, unintended effects have been given much attention. In this study, we applied a proteomics approach to elucidate the unintended effects of random T-DNA insertion in transgenic plants. Separated proteins extracted from 12 trans-genic Arabidopsis thaliana with different T-DNA insertion sites and from wild-type (ecotype Col-o) were analyzed. In the transgenic plants, 102 significantly altered protein spots were detected, in which 59 were up-regulated and 43 down-regulated. MALDI-TOF MS analysis showed that most of these expression level-altered proteins were involved in energy transfer, oxidative respiration and photosynthesis. However, none of these proteins was a toxic protein or allergen. Using plants with or without cold treatment, a natural environmental stress, as controls, we found that the number of the altered proteins was even less in those transgenic plants than those triggered by the cold treatment, suggesting that the transgenic events had a weaker impact on the plants than the environmental stresses. Interestingly, the phosphinothricin acetyl transferase (PAT), the BAR-encoded protein, was detected in nine out of twelve different T-DNA insertion lines at five different insertion sites. These data suggest that the most significant impact of transgenic events on the host plants is from the transgene itself, i.e., from the predictable intended effects, rather than unintended effects. This study also suggests that the proteomics approach has the potential to detect the unintended effects in transgenic plants.

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Year:  2009        PMID: 19840761     DOI: 10.1016/S1673-8527(08)60155-1

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  14 in total

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4.  Non-uniform distribution pattern for differentially expressed genes of transgenic rice Huahui 1 at different developmental stages and environments.

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Journal:  PLoS One       Date:  2012-05-11       Impact factor: 3.240

5.  Comparative proteomics of Bt-transgenic and non-transgenic cotton leaves.

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6.  Comparative Proteomics of Leaves from Phytase-Transgenic Maize and Its Non-transgenic Isogenic Variety.

Authors:  Yanhua Tan; Xiaoping Yi; Limin Wang; Cunzhi Peng; Yong Sun; Dan Wang; Jiaming Zhang; Anping Guo; Xuchu Wang
Journal:  Front Plant Sci       Date:  2016-08-17       Impact factor: 5.753

7.  Proteomic analysis of phytase transgenic and non-transgenic maize seeds.

Authors:  Yanhua Tan; Zheng Tong; Qian Yang; Yong Sun; Xiang Jin; Cunzhi Peng; Anping Guo; Xuchu Wang
Journal:  Sci Rep       Date:  2017-08-23       Impact factor: 4.379

8.  iTRAQ-based quantitative tissue proteomic analysis of differentially expressed proteins (DEPs) in non-transgenic and transgenic soybean seeds.

Authors:  Weixiao Liu; Wentao Xu; Liang Li; Mei Dong; Yusong Wan; Xiaoyun He; Kunlun Huang; Wujun Jin
Journal:  Sci Rep       Date:  2018-12-05       Impact factor: 4.379

9.  Carbon and nitrogen partitioning of transgenic rice T2A-1 (Cry2A*) with different nitrogen treatments.

Authors:  Lin Ling; Xuexue Li; Kangxu Wang; Mingli Cai; Yang Jiang; Cougui Cao
Journal:  Sci Rep       Date:  2019-03-29       Impact factor: 4.379

10.  Morpho-Physiological and Proteomic Response of Bt-Cotton and Non-Bt Cotton to Drought Stress.

Authors:  Swetha Sudha Nagamalla; Malini Devi Alaparthi; Sunitha Mellacheruvu; Ravindar Gundeti; Jana Priya Sony Earrawandla; Someswar Rao Sagurthi
Journal:  Front Plant Sci       Date:  2021-05-10       Impact factor: 5.753

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