Literature DB >> 15957154

Rice proteomics: a cornerstone for cereal food crop proteomes.

Ganesh Kumar Agrawal1, Randeep Rakwal.   

Abstract

Proteomics-a systematic study of proteins present in a cell, tissue, organ, or organism at a particular moment during the life cycle-that began with classical two-dimensional electrophoresis and its advancement during the 1990s, has been revolutionized by a series of tremendous technological developments in mass spectrometry (MS), a core technology. Proteomics is exerting its influence on biological function of genes and genomes in the era (21st century) of functional genomics, and for this reason yeast, bacterial, and mammalian systems are the best examples. Although plant proteomics is still in its infancy, evolving proteomic technologies and the availability of the genome sequences of Arabidopsis thaliana (L.) Heyhn, and rice (Oryza sativa L.), model dicotyledoneous and monocotyledoneous (monocot) species, respectively, are propelling it towards new heights, as evidenced by the rapid spurt in worldwide plant proteome research. Rice, with an immense socio-economic impact on human civilization, is a representative model of cereal food crops, and we consider it as a cornerstone for functional genomics of cereal plants. In this review, we look at the history and the current state of monocot proteomes, including barley, maize, and wheat, with a central focus on rice, which has the most extensive proteomic coverage to date. On one side, we highlight advances in technologies that have generated enormous amount of interest in plant proteomics, and the other side summarizes the achievements made towards establishing proteomes during plant growth & development and challenge to environmental factors, including disease, and for studying genetic relationships. In light of what we have learned from the proteomic journey in rice and other monocots, we finally reveal and assess their impact in our continuous strive towards completion of their full proteomes. Copyright 2005 Wiley Periodicals, Inc.

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Year:  2006        PMID: 15957154     DOI: 10.1002/mas.20056

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  24 in total

1.  Proteomic analysis of early germs with high-oil and normal inbred lines in maize.

Authors:  Zhanji Liu; Xiaohong Yang; Yang Fu; Yirong Zhang; Jianbin Yan; Tongming Song; T Rocheford; Jiansheng Li
Journal:  Mol Biol Rep       Date:  2008-06-04       Impact factor: 2.316

2.  Assessing the effects of heavy metal contamination on the proteome of the moss Pseudoscleropodium purum cross-transplanted between different areas.

Authors:  M Teresa Boquete; José Bermúdez-Crespo; Jesús R Aboal; Alejo Carballeira; J Ángel Fernández
Journal:  Environ Sci Pollut Res Int       Date:  2013-09-17       Impact factor: 4.223

3.  Comparative proteomic analysis reveals the roots response to low root-zone temperature in Malus baccata.

Authors:  Li-Jie Li; Xiao-Chen Lu; Huai-Yu Ma; De-Guo Lyu
Journal:  J Plant Res       Date:  2018-05-31       Impact factor: 2.629

4.  Nitrogen stress-induced alterations in the leaf proteome of two wheat varieties grown at different nitrogen levels.

Authors:  Ruby Chandna; Altaf Ahmad
Journal:  Physiol Mol Biol Plants       Date:  2015-01-06

5.  Comparative proteomics reveals differential induction of both biotic and abiotic stress response associated proteins in rice during Xanthomonas oryzae pv. oryzae infection.

Authors:  Anirudh Kumar; Waikhom Bimolata; Monica Kannan; P B Kirti; Insaf Ahmed Qureshi; Irfan Ahmad Ghazi
Journal:  Funct Integr Genomics       Date:  2015-02-04       Impact factor: 3.410

6.  Proteome dynamics during plastid differentiation in rice.

Authors:  Torsten Kleffmann; Anne von Zychlinski; Doris Russenberger; Matthias Hirsch-Hoffmann; Peter Gehrig; Wilhelm Gruissem; Sacha Baginsky
Journal:  Plant Physiol       Date:  2006-12-22       Impact factor: 8.340

7.  Evaluation of chloroform/methanol extraction to facilitate the study of membrane proteins of non-model plants.

Authors:  Annelies Vertommen; Bart Panis; Rony Swennen; Sebastien Christian Carpentier
Journal:  Planta       Date:  2010-02-23       Impact factor: 4.116

8.  2D-DIGE-based proteome expression changes in leaves of rice seedlings exposed to low-level gamma radiation at Iitate village, Fukushima.

Authors:  Gohei Hayashi; Carlo F Moro; Jai Singh Rohila; Junko Shibato; Akihiro Kubo; Tetsuji Imanaka; Shinzo Kimura; Shoji Ozawa; Satoshi Fukutani; Satoru Endo; Katsuki Ichikawa; Ganesh Kumar Agrawal; Seiji Shioda; Motohide Hori; Manabu Fukumoto; Randeep Rakwal
Journal:  Plant Signal Behav       Date:  2015

9.  Ultra low-dose radiation: stress responses and impacts using rice as a grass model.

Authors:  Randeep Rakwal; Ganesh Kumar Agrawal; Junko Shibato; Tetsuji Imanaka; Satoshi Fukutani; Shigeru Tamogami; Satoru Endo; Sarata Kumar Sahoo Sahoo; Yoshinori Masuo; Shinzo Kimura
Journal:  Int J Mol Sci       Date:  2009-03-16       Impact factor: 6.208

10.  Identification of drought-responsive genes in roots of upland rice (Oryza sativa L).

Authors:  Aline R Rabello; Cléber M Guimarães; Paulo H N Rangel; Felipe R da Silva; Daniela Seixas; Emanuel de Souza; Ana C M Brasileiro; Carlos R Spehar; Márcio E Ferreira; Angela Mehta
Journal:  BMC Genomics       Date:  2008-10-15       Impact factor: 3.969

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