Literature DB >> 16619305

Proteomic pattern-based analyses of light responses in Arabidopsis thaliana wild-type and photoreceptor mutants.

Dong Su Kim1, Dae Shik Cho, Won-Man Park, Hyung Jin Na, Hong Gil Nam.   

Abstract

Light critically affects the physiology of plants. Using two-dimensional gel electrophoresis, we used a proteomics approach to analyze the responses of Arabidopsis thaliana to red (660 nm), far-red (730 nm) and blue (450 nm) light, which are utilized by type II and type I phytochromes, and blue light receptors, respectively. Under specific light treatments, the proteomic profiles of 49 protein spots exhibited over 1.8-fold difference in protein abundance, significant at p <0.05. Most of these proteins were metabolic enzymes, indicating metabolic changes induced by light of specific wavelengths. The differentially-expressed proteins formed seven clusters, reflecting co-regulation. We used the 49 differentially-regulated proteins as molecular markers for plant responses to light, and by developing a procedure that calculates the Pearson correlation distance of cluster-to-cluster similarity in expression changes, we assessed the proteome-based relatedness of light responses for wild-type and phytochrome mutant plants. Overall, this assessment was consistent with the known physiological responses of plants to light. However, we also observed a number of novel responses at the proteomic level, which were not predicted from known physiological changes.

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Year:  2006        PMID: 16619305     DOI: 10.1002/pmic.200500670

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  3 in total

1.  Transcriptional and translational responses of rapeseed leaves to red and blue lights at the rosette stage.

Authors:  Sheng-Xin Chang; Chu Pu; Rong-Zhan Guan; Min Pu; Zhi-Gang Xu
Journal:  J Zhejiang Univ Sci B       Date:  2018 Aug.       Impact factor: 3.066

2.  Unraveling the Light-Specific Metabolic and Regulatory Signatures of Rice through Combined in Silico Modeling and Multiomics Analysis.

Authors:  Meiyappan Lakshmanan; Sun-Hyung Lim; Bijayalaxmi Mohanty; Jae Kwang Kim; Sun-Hwa Ha; Dong-Yup Lee
Journal:  Plant Physiol       Date:  2015-10-09       Impact factor: 8.340

3.  Induction of Drought Stress Resistance by Multi-Functional PGPR Bacillus licheniformis K11 in Pepper.

Authors:  Jong-Hui Lim; Sang-Dal Kim
Journal:  Plant Pathol J       Date:  2013-06       Impact factor: 1.795

  3 in total

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