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      Genome-Wide Expression Profiling of Soybean Two-Component System Genes in Soybean Root and Shoot Tissues under Dehydration Stress

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          Abstract

          Two-component systems (TCSs) play vital functions in the adaptation of plants to environmental stresses. To identify soybean TCS genes involved in the regulation of drought stress response, we performed tissue-specific expression profiling of all 83 putative TCS genes in plants subjected to dehydration. Under well-watered conditions, the majority of soybean TCS genes were expressed higher in the root tissues. Additionally, a high variability in transcript abundance was observed for the TCS genes in both roots and shoots. Under dehydration, TCS genes were more responsive in shoots than in roots. Further analysis indicated that 50% more TCS genes were repressed by dehydration than induced. Specifically, 18 genes were induced by 2-fold or more, whereas 33 genes were down-regulated at least 2-fold by dehydration. TCS genes putatively involved in cytokinin and ethylene signallings strongly responded to dehydration, suggesting that crosstalk exists between different hormonal and stress pathways. Our study provides the first glance into the complex regulatory roles of soybean TCSs underlying their functions in response to dehydration. Additionally, these systematic expression analyses identified excellent dehydration-responsive candidate genes to further clarify soybean TCS functions in drought response and to enable the development of improved drought tolerance in transgenic soybeans.

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          Most cited references42

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          Cluster analysis and display of genome-wide expression patterns.

          A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data simultaneously in a form intuitive for biologists. We have found in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function, and we find a similar tendency in human data. Thus patterns seen in genome-wide expression experiments can be interpreted as indications of the status of cellular processes. Also, coexpression of genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes for which information is not available currently.
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            AREB1 is a transcription activator of novel ABRE-dependent ABA signaling that enhances drought stress tolerance in Arabidopsis.

            ABSCISIC ACID-RESPONSIVE ELEMENT BINDING PROTEIN1 (AREB1) (i.e., ABF2) is a basic domain/leucine zipper transcription factor that binds to the abscisic acid (ABA)-responsive element (ABRE) motif in the promoter region of ABA-inducible genes. Here, we show that expression of the intact AREB1 gene on its own is insufficient to lead to expression of downstream genes under normal growth conditions. To overcome the masked transactivation activity of AREB1, we created an activated form of AREB1 (AREB1DeltaQT). AREB1DeltaQT-overexpressing plants showed ABA hypersensitivity and enhanced drought tolerance, and eight genes with two or more ABRE motifs in the promoter regions in two groups were greatly upregulated: late embryogenesis abundant class genes and ABA- and drought stress-inducible regulatory genes. By contrast, an areb1 null mutant and a dominant loss-of-function mutant of AREB1 (AREB1:RD) with a repression domain exhibited ABA insensitivity. Furthermore, AREB1:RD plants displayed reduced survival under dehydration, and three of the eight greatly upregulated genes were downregulated, including genes for linker histone H1 and AAA ATPase, which govern gene expression and multiple cellular activities through protein folding, respectively. Thus, these data suggest that AREB1 regulates novel ABRE-dependent ABA signaling that enhances drought tolerance in vegetative tissues.
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              Arabidopsis cytokinin receptor mutants reveal functions in shoot growth, leaf senescence, seed size, germination, root development, and cytokinin metabolism.

              We used loss-of-function mutants to study three Arabidopsis thaliana sensor histidine kinases, AHK2, AHK3, and CRE1/AHK4, known to be cytokinin receptors. Mutant seeds had more rapid germination, reduced requirement for light, and decreased far-red light sensitivity, unraveling cytokinin functions in seed germination control. Triple mutant seeds were more than twice as large as wild-type seeds. Genetic analysis indicated a cytokinin-dependent endospermal and/or maternal control of embryo size. Unchanged red light sensitivity of mutant hypocotyl elongation suggests that previously reported modulation of red light signaling by A-type response regulators may not depend on cytokinin. Combined loss of AHK2 and AHK3 led to the most prominent changes during vegetative development. Leaves of ahk2 ahk3 mutants formed fewer cells, had reduced chlorophyll content, and lacked the cytokinin-dependent inhibition of dark-induced chlorophyll loss, indicating a prominent role of AHK2 and, particularly, AHK3 in the control of leaf development. ahk2 ahk3 double mutants developed a strongly enhanced root system through faster growth of the primary root and, more importantly, increased branching. This result supports a negative regulatory role for cytokinin in root growth regulation. Increased cytokinin content of receptor mutants indicates a homeostatic control of steady state cytokinin levels through signaling. Together, the analyses reveal partially redundant functions of the cytokinin receptors and prominent roles for the AHK2/AHK3 receptor combination in quantitative control of organ growth in plants, with opposite regulatory functions in roots and shoots.
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                Author and article information

                Journal
                DNA Res
                dnares
                dnares
                DNA Research: An International Journal for Rapid Publication of Reports on Genes and Genomes
                Oxford University Press
                1340-2838
                1756-1663
                February 2011
                4 January 2011
                4 January 2011
                : 18
                : 1
                : 17-29
                Affiliations
                [1 ]Signaling Pathway Research Unit, Plant Science Center, simpleRIKEN Yokohama Institute , 1-7-22, Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan
                [2 ]Gene Discovery Research Group, Plant Science Centersimple, RIKEN Yokohama Institute , 1-7-22, Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan
                [3 ]Agricultural Genetics Institute, simpleVietnamese Academy of Agricultural Science , Pham-Van-Dong Str., Hanoi, Vietnam
                [4 ]simpleJapan International Center of Agricultural Sciences , Ibaraki 305-8686, Japan
                Author notes
                [* ]To whom correspondence should be addressed. Tel. +81 45-503-9593. Fax. +81 45-503-9591. E-mail: tran@ 123456psc.riken.jp

                Edited by Satoshi Tabata

                Article
                dsq032
                10.1093/dnares/dsq032
                3041507
                21208938
                efef3c43-5c87-4364-bbe1-1be83dc88664
                © The Author 2011. Published by Oxford University Press on behalf of Kazusa DNA Research Institute

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 August 2010
                : 29 November 2010
                Categories
                Full Papers

                Genetics
                two-component system,dehydration,rt-qpcr,expression profiling,soybean
                Genetics
                two-component system, dehydration, rt-qpcr, expression profiling, soybean

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