Protein profile of rice (Oryza sativa) seeds

Seeds are the most important plant storage organ and play a central role in the life cycle of plants. Since little is known about the protein composition of rice (Oryza sativa) seeds, in this work we used proteomic methods to obtain a reference map of rice seed proteins and identify important molecu...

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Main Authors: Yang, Yanhua, Dai, Li, Xia, Hengchuan, Zhu, Keming, Liu, Haijun, Chen, Keping
Format: Online
Language:English
Published: Sociedade Brasileira de Genética 2013
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615530/
id pubmed-3615530
recordtype oai_dc
spelling pubmed-36155302013-04-08 Protein profile of rice (Oryza sativa) seeds Yang, Yanhua Dai, Li Xia, Hengchuan Zhu, Keming Liu, Haijun Chen, Keping Plant Genetics Seeds are the most important plant storage organ and play a central role in the life cycle of plants. Since little is known about the protein composition of rice (Oryza sativa) seeds, in this work we used proteomic methods to obtain a reference map of rice seed proteins and identify important molecules. Overall, 480 reproducible protein spots were detected by two-dimensional electrophoresis on pH 4–7 gels and 302 proteins were identified by MALDI-TOF MS and database searches. Together, these proteins represented 252 gene products and were classified into 12 functional categories, most of which were involved in metabolic pathways. Database searches combined with hydropathy plots and gene ontology analysis showed that most rice seed proteins were hydrophilic and were related to binding, catalytic, cellular or metabolic processes. These results expand our knowledge of the rice proteome and improve our understanding of the cellular biology of rice seeds. Sociedade Brasileira de Genética 2013-03-04 2013-03 /pmc/articles/PMC3615530/ /pubmed/23569412 http://dx.doi.org/10.1590/S1415-47572013000100012 Text en Copyright © 2013, Sociedade Brasileira de Genética. License information: This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Yang, Yanhua
Dai, Li
Xia, Hengchuan
Zhu, Keming
Liu, Haijun
Chen, Keping
spellingShingle Yang, Yanhua
Dai, Li
Xia, Hengchuan
Zhu, Keming
Liu, Haijun
Chen, Keping
Protein profile of rice (Oryza sativa) seeds
author_facet Yang, Yanhua
Dai, Li
Xia, Hengchuan
Zhu, Keming
Liu, Haijun
Chen, Keping
author_sort Yang, Yanhua
title Protein profile of rice (Oryza sativa) seeds
title_short Protein profile of rice (Oryza sativa) seeds
title_full Protein profile of rice (Oryza sativa) seeds
title_fullStr Protein profile of rice (Oryza sativa) seeds
title_full_unstemmed Protein profile of rice (Oryza sativa) seeds
title_sort protein profile of rice (oryza sativa) seeds
description Seeds are the most important plant storage organ and play a central role in the life cycle of plants. Since little is known about the protein composition of rice (Oryza sativa) seeds, in this work we used proteomic methods to obtain a reference map of rice seed proteins and identify important molecules. Overall, 480 reproducible protein spots were detected by two-dimensional electrophoresis on pH 4–7 gels and 302 proteins were identified by MALDI-TOF MS and database searches. Together, these proteins represented 252 gene products and were classified into 12 functional categories, most of which were involved in metabolic pathways. Database searches combined with hydropathy plots and gene ontology analysis showed that most rice seed proteins were hydrophilic and were related to binding, catalytic, cellular or metabolic processes. These results expand our knowledge of the rice proteome and improve our understanding of the cellular biology of rice seeds.
publisher Sociedade Brasileira de Genética
publishDate 2013
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3615530/
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