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      Post-translational regulation of rice MADS29 function: homodimerization or binary interactions with other seed-expressed MADS proteins modulate its translocation into the nucleus

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          Summary

          OsMADS29, a seed-specific transcription factor that affects grain filling and embryo development by regulating hormone homeostasis, requires homo- or heterodimerization with eleven other MADS proteins for its localization into the nucleus.

          Abstract

          OsMADS29 is a seed-specific MADS-box transcription factor that affects embryo development and grain filling by maintaining hormone homeostasis and degradation of cells in the nucellus and nucellar projection. Although it has a bipartite nuclear localization signal (NLS) sequence, the transiently expressed OsMADS29 monomer does not localize specifically in the nucleus. Dimerization of the monomers alters the intracellular localization fate of the resulting OsMADS29 homodimer, which then translocates into the nucleus. By generating domain-specific deletions/mutations, we show that two conserved amino acids (lysine 23 and arginine 24) in the NLS are important for nuclear localization of the OsMADS29 homodimer. Furthermore, the analyses involving interaction of OsMADS29 with 30 seed-expressed rice MADS proteins revealed 19 more MADS-box proteins, including five E-class proteins, which interacted with OsMADS29. Eleven of these complexes were observed to be localized in the nucleus. Deletion analysis revealed that the KC region (K-box and C-terminal domain) plays a pivotal role in homodimerization. These data suggest that the biological function of OsMADS29 may not only be regulated at the level of transcription and translation as reported earlier, but also at the post-translational level by way of the interaction between OsMADS29 monomers, and between OsMADS29 and other MADS-box proteins.

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          Most cited references40

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          Classical nuclear localization signals: definition, function, and interaction with importin alpha.

          The best understood system for the transport of macromolecules between the cytoplasm and the nucleus is the classical nuclear import pathway. In this pathway, a protein containing a classical basic nuclear localization signal (NLS) is imported by a heterodimeric import receptor consisting of the beta-karyopherin importin beta, which mediates interactions with the nuclear pore complex, and the adaptor protein importin alpha, which directly binds the classical NLS. Here we review recent studies that have advanced our understanding of this pathway and also take a bioinformatics approach to analyze the likely prevalence of this system in vivo. Finally, we describe how a predicted NLS within a protein of interest can be confirmed experimentally to be functionally important.
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            The major clades of MADS-box genes and their role in the development and evolution of flowering plants.

            A. Becker (2003)
            MADS-box genes encode a family of transcription factors which control diverse developmental processes in flowering plants ranging from root to flower and fruit development. Sequencing of (almost) the complete Arabidopsis genome enabled the identification of (almost) all of the Arabidopsis MADS-box genes. MADS-box genes have been divided in two large groups, termed type I and type II genes. The type II genes comprise the MEF2-like genes of animals and fungi and the MIKC-type genes of plants. The majority of MIKC-type genes are of the MIKC(c)-type, which includes all plant MADS-box genes for which expression patterns or mutant phenotypes are known. By phylogeny reconstruction, almost all of the MIKC(c)-type genes can be subdivided into 12 major gene clades, each clade comprising 1-6 paralogs from Arabidopsis and putative orthologs from other seed plants. Here we first briefly describe the deep branching of the MADS-box gene tree to place the MIKC(c)-type genes into an evolutionary context. For every clade of MIKC(c)-type genes we then review what is known about its members from Arabidopsis and well-studied members from other phylogenetically informative plant species. By gene sampling and phylogeny reconstructions we provide minimal estimates for the ages of the different clades. It turns out that 7 of the 12 major gene clades, i.e., AG-, AGL6-, AGL12-, DEF+GLO- (B), GGM13- (B(s)), STMADS11- and TM3-like genes very likely existed already in the most recent common ancestor of angiosperms and gymnosperms about 300MYA. Three of the other clades, i.e., AGL2-, AGL17-, and SQUA-like genes, existed at least already in the most recent common ancestor of monocots and eudicots about 200 MYA. Only for two gene clades, AGL15-like genes (2 genes in Arabidopsis) and FLC-like genes (6 genes) members from plants other than Brassicaceae have not been reported yet. Similarly, only one ancient clade known from other flowering plant species, TM8-like genes, is not represented in Arabidopsis. These findings reveal that the diversity of MADS-box genes in Arabidopsis is rather ancient and representative for other flowering plants. Our studies may thus help to predict the set of MADS-box genes in all other flowering plants, except for relatively young paralogs. For the different gene clades we try to identify ancestral and derived gene functions and review the importance of these clades for seed plant development and evolution. We put special emphasis on gene clades for which insights into their importance has rapidly increased just recently.
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              COFACTOR: an accurate comparative algorithm for structure-based protein function annotation

              We have developed a new COFACTOR webserver for automated structure-based protein function annotation. Starting from a structural model, given by either experimental determination or computational modeling, COFACTOR first identifies template proteins of similar folds and functional sites by threading the target structure through three representative template libraries that have known protein–ligand binding interactions, Enzyme Commission number or Gene Ontology terms. The biological function insights in these three aspects are then deduced from the functional templates, the confidence of which is evaluated by a scoring function that combines both global and local structural similarities. The algorithm has been extensively benchmarked by large-scale benchmarking tests and demonstrated significant advantages compared to traditional sequence-based methods. In the recent community-wide CASP9 experiment, COFACTOR was ranked as the best method for protein–ligand binding site predictions. The COFACTOR sever and the template libraries are freely available at http://zhanglab.ccmb.med.umich.edu/COFACTOR.
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                Author and article information

                Journal
                J Exp Bot
                J. Exp. Bot
                jexbot
                exbotj
                Journal of Experimental Botany
                Oxford University Press (UK )
                0022-0957
                1460-2431
                October 2014
                5 August 2014
                5 August 2014
                : 65
                : 18
                : 5339-5350
                Affiliations
                1Interdisciplinary Centre for Plant Genomics and Department of Plant Molecular Biology, University of Delhi South Campus, Benito Juarez Road , New Delhi 110021, India
                2University School of Biotechnology, Guru Gobind Singh Indraprastha University , Sector 16C, Dwarka, New Delhi 110078, India
                Author notes
                * To whom correspondence should be addressed. E-mail: kapoors@ 123456genomeindia.org
                Article
                10.1093/jxb/eru296
                4157715
                25096923
                a3232155-ee26-414f-b560-911130cf9cf8
                © The Author 2014. Published by Oxford University Press on behalf of the Society for Experimental Biology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Page count
                Pages: 12
                Categories
                Research Paper

                Plant science & Botany
                mads box,nuclear localization,protein–protein interaction,rice,seed,transcription factor.

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