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Proteomic analysis of phytase transgenic and non-transgenic maize seeds

Proteomics has become a powerful technique for investigating unintended effects in genetically modified crops. In this study, we performed a comparative proteomics of the seeds of phytase-transgenic (PT) and non-transgenic (NT) maize using 2-DE and iTRAQ techniques. A total of 148 differentially exp...

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Autores principales: Tan, Yanhua, Tong, Zheng, Yang, Qian, Sun, Yong, Jin, Xiang, Peng, Cunzhi, Guo, Anping, Wang, Xuchu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569035/
https://www.ncbi.nlm.nih.gov/pubmed/28835691
http://dx.doi.org/10.1038/s41598-017-09557-8
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author Tan, Yanhua
Tong, Zheng
Yang, Qian
Sun, Yong
Jin, Xiang
Peng, Cunzhi
Guo, Anping
Wang, Xuchu
author_facet Tan, Yanhua
Tong, Zheng
Yang, Qian
Sun, Yong
Jin, Xiang
Peng, Cunzhi
Guo, Anping
Wang, Xuchu
author_sort Tan, Yanhua
collection PubMed
description Proteomics has become a powerful technique for investigating unintended effects in genetically modified crops. In this study, we performed a comparative proteomics of the seeds of phytase-transgenic (PT) and non-transgenic (NT) maize using 2-DE and iTRAQ techniques. A total of 148 differentially expressed proteins (DEPs), including 106 down-regulated and 42 up-regulated proteins in PT, were identified. Of these proteins, 32 were identified through 2-DE and 116 were generated by iTRAQ. It is noteworthy that only three proteins could be detected via both iTRAQ and 2-DE, and most of the identified DEPs were not newly produced proteins but proteins with altered abundance. These results indicated that many DEPs could be detected in the proteome of PT maize seeds and the corresponding wild type after overexpression of the target gene, but the changes in these proteins were not substantial. Functional classification revealed many DEPs involved in posttranscriptional modifications and some ribosomal proteins and heat-shock proteins that may generate adaptive effects in response to the insertion of exogenous genes. Protein-protein interaction analysis demonstrated that the detected interacting proteins were mainly ribosomal proteins and heat-shock proteins. Our data provided new information on such unintended effects through a proteomic analysis of maize seeds.
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spelling pubmed-55690352017-09-01 Proteomic analysis of phytase transgenic and non-transgenic maize seeds Tan, Yanhua Tong, Zheng Yang, Qian Sun, Yong Jin, Xiang Peng, Cunzhi Guo, Anping Wang, Xuchu Sci Rep Article Proteomics has become a powerful technique for investigating unintended effects in genetically modified crops. In this study, we performed a comparative proteomics of the seeds of phytase-transgenic (PT) and non-transgenic (NT) maize using 2-DE and iTRAQ techniques. A total of 148 differentially expressed proteins (DEPs), including 106 down-regulated and 42 up-regulated proteins in PT, were identified. Of these proteins, 32 were identified through 2-DE and 116 were generated by iTRAQ. It is noteworthy that only three proteins could be detected via both iTRAQ and 2-DE, and most of the identified DEPs were not newly produced proteins but proteins with altered abundance. These results indicated that many DEPs could be detected in the proteome of PT maize seeds and the corresponding wild type after overexpression of the target gene, but the changes in these proteins were not substantial. Functional classification revealed many DEPs involved in posttranscriptional modifications and some ribosomal proteins and heat-shock proteins that may generate adaptive effects in response to the insertion of exogenous genes. Protein-protein interaction analysis demonstrated that the detected interacting proteins were mainly ribosomal proteins and heat-shock proteins. Our data provided new information on such unintended effects through a proteomic analysis of maize seeds. Nature Publishing Group UK 2017-08-23 /pmc/articles/PMC5569035/ /pubmed/28835691 http://dx.doi.org/10.1038/s41598-017-09557-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tan, Yanhua
Tong, Zheng
Yang, Qian
Sun, Yong
Jin, Xiang
Peng, Cunzhi
Guo, Anping
Wang, Xuchu
Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title_full Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title_fullStr Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title_full_unstemmed Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title_short Proteomic analysis of phytase transgenic and non-transgenic maize seeds
title_sort proteomic analysis of phytase transgenic and non-transgenic maize seeds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5569035/
https://www.ncbi.nlm.nih.gov/pubmed/28835691
http://dx.doi.org/10.1038/s41598-017-09557-8
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