Cargando…
iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize
Grain weight is one of the most important yield components and a developmentally complex structure comprised of two major compartments (endosperm and pericarp) in maize (Zea mays L.), however, very little is known concerning the coordinated accumulation of the numerous proteins involved. Herein, we...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5618489/ https://www.ncbi.nlm.nih.gov/pubmed/28837076 http://dx.doi.org/10.3390/ijms18091840 |
_version_ | 1783267197940924416 |
---|---|
author | Zhang, Long Dong, Yongbin Wang, Qilei Du, Chunguang Xiong, Wenwei Li, Xinyu Zhu, Sailan Li, Yuling |
author_facet | Zhang, Long Dong, Yongbin Wang, Qilei Du, Chunguang Xiong, Wenwei Li, Xinyu Zhu, Sailan Li, Yuling |
author_sort | Zhang, Long |
collection | PubMed |
description | Grain weight is one of the most important yield components and a developmentally complex structure comprised of two major compartments (endosperm and pericarp) in maize (Zea mays L.), however, very little is known concerning the coordinated accumulation of the numerous proteins involved. Herein, we used isobaric tags for relative and absolute quantitation (iTRAQ)-based comparative proteomic method to analyze the characteristics of dynamic proteomics for endosperm and pericarp during grain development. Totally, 9539 proteins were identified for both components at four development stages, among which 1401 proteins were non-redundant, 232 proteins were specific in pericarp and 153 proteins were specific in endosperm. A functional annotation of the identified proteins revealed the importance of metabolic and cellular processes, and binding and catalytic activities for the tissue development. Three and 76 proteins involved in 49 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were integrated for the specific endosperm and pericarp proteins, respectively, reflecting their complex metabolic interactions. In addition, four proteins with important functions and different expression levels were chosen for gene cloning and expression analysis. Different concordance between mRNA level and the protein abundance was observed across different proteins, stages, and tissues as in previous research. These results could provide useful message for understanding the developmental mechanisms in grain development in maize. |
format | Online Article Text |
id | pubmed-5618489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-56184892017-09-30 iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize Zhang, Long Dong, Yongbin Wang, Qilei Du, Chunguang Xiong, Wenwei Li, Xinyu Zhu, Sailan Li, Yuling Int J Mol Sci Article Grain weight is one of the most important yield components and a developmentally complex structure comprised of two major compartments (endosperm and pericarp) in maize (Zea mays L.), however, very little is known concerning the coordinated accumulation of the numerous proteins involved. Herein, we used isobaric tags for relative and absolute quantitation (iTRAQ)-based comparative proteomic method to analyze the characteristics of dynamic proteomics for endosperm and pericarp during grain development. Totally, 9539 proteins were identified for both components at four development stages, among which 1401 proteins were non-redundant, 232 proteins were specific in pericarp and 153 proteins were specific in endosperm. A functional annotation of the identified proteins revealed the importance of metabolic and cellular processes, and binding and catalytic activities for the tissue development. Three and 76 proteins involved in 49 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were integrated for the specific endosperm and pericarp proteins, respectively, reflecting their complex metabolic interactions. In addition, four proteins with important functions and different expression levels were chosen for gene cloning and expression analysis. Different concordance between mRNA level and the protein abundance was observed across different proteins, stages, and tissues as in previous research. These results could provide useful message for understanding the developmental mechanisms in grain development in maize. MDPI 2017-08-24 /pmc/articles/PMC5618489/ /pubmed/28837076 http://dx.doi.org/10.3390/ijms18091840 Text en © 2017 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Long Dong, Yongbin Wang, Qilei Du, Chunguang Xiong, Wenwei Li, Xinyu Zhu, Sailan Li, Yuling iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title | iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title_full | iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title_fullStr | iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title_full_unstemmed | iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title_short | iTRAQ-Based Proteomics Analysis and Network Integration for Kernel Tissue Development in Maize |
title_sort | itraq-based proteomics analysis and network integration for kernel tissue development in maize |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5618489/ https://www.ncbi.nlm.nih.gov/pubmed/28837076 http://dx.doi.org/10.3390/ijms18091840 |
work_keys_str_mv | AT zhanglong itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT dongyongbin itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT wangqilei itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT duchunguang itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT xiongwenwei itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT lixinyu itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT zhusailan itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize AT liyuling itraqbasedproteomicsanalysisandnetworkintegrationforkerneltissuedevelopmentinmaize |