Cargando…
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...
Autores principales: | , , , , , , , |
---|---|
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 |
_version_ | 1783258908509339648 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5569035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT tanyanhua proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT tongzheng proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT yangqian proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT sunyong proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT jinxiang proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT pengcunzhi proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT guoanping proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds AT wangxuchu proteomicanalysisofphytasetransgenicandnontransgenicmaizeseeds |