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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Long, Dong, Yongbin, Wang, Qilei, Du, Chunguang, Xiong, Wenwei, Li, Xinyu, Zhu, Sailan, Li, Yuling
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