Cargando…
Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds
Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696663/ https://www.ncbi.nlm.nih.gov/pubmed/36355161 http://dx.doi.org/10.3390/metabo12111078 |
_version_ | 1784838367406456832 |
---|---|
author | Liu, Weixiao Meng, Lixia Zhao, Weiling Wang, Zhanchao Miao, Chaohua Wan, Yusong Jin, Wujun |
author_facet | Liu, Weixiao Meng, Lixia Zhao, Weiling Wang, Zhanchao Miao, Chaohua Wan, Yusong Jin, Wujun |
author_sort | Liu, Weixiao |
collection | PubMed |
description | Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed proteins (DEPs) were screened out in BBL, BFL-1, and BFL-2, respectively, and their abundance compared was with that in their non-GM parents. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most of the DEPs participate in biosynthesis of secondary metabolites, biosynthesis of amino acids, and metabolic pathways. Metabolomic analyses revealed 145, 178, and 88 differentially accumulated metabolites (DAMs) in the BBL/ZH58, BFL-1/ZH58, and BFL-2/ZH58×CH72 comparisons, respectively. KEGG pathway enrichment analysis showed that most of the DAMs are involved in biosynthesis of amino acids, and in arginine and proline metabolism. Three co-DEPs and 11 co-DAMs were identified in the seeds of these GM maize lines. The proteomic profiling of seeds showed that the GM maize varieties were not dramatically different from their non-GM control. Similarly, the metabolomic profiling of seeds showed no dramatic changes in the GM/non-GM maize varieties compared with the GM/GM and non-GM/non-GM maize varieties. The genetic background of the transgenic maize was found to have some influence on its proteomic and metabolomic profiles. |
format | Online Article Text |
id | pubmed-9696663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96966632022-11-26 Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds Liu, Weixiao Meng, Lixia Zhao, Weiling Wang, Zhanchao Miao, Chaohua Wan, Yusong Jin, Wujun Metabolites Article Label-free quantitative proteomic (LFQ) and widely targeted metabolomic analyses were applied in the safety evaluation of three genetically modified (GM) maize varieties, BBL, BFL-1, and BFL-2, in addition to their corresponding non-GM parent maize. A total of 76, 40, and 25 differentially expressed proteins (DEPs) were screened out in BBL, BFL-1, and BFL-2, respectively, and their abundance compared was with that in their non-GM parents. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis showed that most of the DEPs participate in biosynthesis of secondary metabolites, biosynthesis of amino acids, and metabolic pathways. Metabolomic analyses revealed 145, 178, and 88 differentially accumulated metabolites (DAMs) in the BBL/ZH58, BFL-1/ZH58, and BFL-2/ZH58×CH72 comparisons, respectively. KEGG pathway enrichment analysis showed that most of the DAMs are involved in biosynthesis of amino acids, and in arginine and proline metabolism. Three co-DEPs and 11 co-DAMs were identified in the seeds of these GM maize lines. The proteomic profiling of seeds showed that the GM maize varieties were not dramatically different from their non-GM control. Similarly, the metabolomic profiling of seeds showed no dramatic changes in the GM/non-GM maize varieties compared with the GM/GM and non-GM/non-GM maize varieties. The genetic background of the transgenic maize was found to have some influence on its proteomic and metabolomic profiles. MDPI 2022-11-07 /pmc/articles/PMC9696663/ /pubmed/36355161 http://dx.doi.org/10.3390/metabo12111078 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Weixiao Meng, Lixia Zhao, Weiling Wang, Zhanchao Miao, Chaohua Wan, Yusong Jin, Wujun Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title | Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title_full | Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title_fullStr | Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title_full_unstemmed | Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title_short | Proteomic and Metabolomic Evaluation of Insect- and Herbicide-Resistant Maize Seeds |
title_sort | proteomic and metabolomic evaluation of insect- and herbicide-resistant maize seeds |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696663/ https://www.ncbi.nlm.nih.gov/pubmed/36355161 http://dx.doi.org/10.3390/metabo12111078 |
work_keys_str_mv | AT liuweixiao proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT menglixia proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT zhaoweiling proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT wangzhanchao proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT miaochaohua proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT wanyusong proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds AT jinwujun proteomicandmetabolomicevaluationofinsectandherbicideresistantmaizeseeds |