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      Network Discovery Pipeline Elucidates Conserved Time-of-Day–Specific cis-Regulatory Modules

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          Abstract

          Correct daily phasing of transcription confers an adaptive advantage to almost all organisms, including higher plants. In this study, we describe a hypothesis-driven network discovery pipeline that identifies biologically relevant patterns in genome-scale data. To demonstrate its utility, we analyzed a comprehensive matrix of time courses interrogating the nuclear transcriptome of Arabidopsis thaliana plants grown under different thermocycles, photocycles, and circadian conditions. We show that 89% of Arabidopsis transcripts cycle in at least one condition and that most genes have peak expression at a particular time of day, which shifts depending on the environment. Thermocycles alone can drive at least half of all transcripts critical for synchronizing internal processes such as cell cycle and protein synthesis. We identified at least three distinct transcription modules controlling phase-specific expression, including a new midnight specific module, PBX/TBX/SBX. We validated the network discovery pipeline, as well as the midnight specific module, by demonstrating that the PBX element was sufficient to drive diurnal and circadian condition-dependent expression. Moreover, we show that the three transcription modules are conserved across Arabidopsis, poplar, and rice. These results confirm the complex interplay between thermocycles, photocycles, and the circadian clock on the daily transcription program, and provide a comprehensive view of the conserved genomic targets for a transcriptional network key to successful adaptation.

          Author Summary

          As the earth rotates, environmental conditions oscillate between illuminated warm days and dark cool nights. Plants have adapted to these changes by timing physiological processes to specific times of the day or night. Light and temperature signaling and the circadian clock regulate this adaptive response. To determine the contributions of each of these factors on gene regulation, we analyzed microarray time course experiments interrogating light, temperature, and circadian conditions. We discovered that almost all Arabidopsis genes cycle in at least one condition. From a signaling perspective, this suggests that light, temperature, and circadian clock play an important role in modulating many physiological pathways. To clarify the contribution of transcriptional regulation on this process, we mined the promoters of cycling genes to identify DNA elements associated with expression at specific times of day. This confirmed the importance of several DNA motifs such as the G-box and the evening element in the regulation of gene expression by light and the circadian clock, but also facilitated the discovery of new elements linked to a novel midnight regulatory module. Identification of orthologous promoter elements in rice and poplar revealed a conserved transcriptional regulatory network that allows global adaptation to the ever-changing daily environment.

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          Coordinated transcription of key pathways in the mouse by the circadian clock.

          In mammals, circadian control of physiology and behavior is driven by a master pacemaker located in the suprachiasmatic nuclei (SCN) of the hypothalamus. We have used gene expression profiling to identify cycling transcripts in the SCN and in the liver. Our analysis revealed approximately 650 cycling transcripts and showed that the majority of these were specific to either the SCN or the liver. Genetic and genomic analysis suggests that a relatively small number of output genes are directly regulated by core oscillator components. Major processes regulated by the SCN and liver were found to be under circadian regulation. Importantly, rate-limiting steps in these various pathways were key sites of circadian control, highlighting the fundamental role that circadian clocks play in cellular and organismal physiology.
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            System-level identification of transcriptional circuits underlying mammalian circadian clocks.

            Mammalian circadian clocks consist of complexly integrated regulatory loops, making it difficult to elucidate them without both the accurate measurement of system dynamics and the comprehensive identification of network circuits. Toward a system-level understanding of this transcriptional circuitry, we identified clock-controlled elements on 16 clock and clock-controlled genes in a comprehensive surveillance of evolutionarily conserved cis elements and measurement of their transcriptional dynamics. Here we report the roles of E/E' boxes, DBP/E4BP4 binding elements and RevErbA/ROR binding elements in nine, seven and six genes, respectively. Our results indicate that circadian transcriptional circuits are governed by two design principles: regulation of E/E' boxes and RevErbA/ROR binding elements follows a repressor-precedes-activator pattern, resulting in delayed transcriptional activity, whereas regulation of DBP/E4BP4 binding elements follows a repressor-antiphasic-to-activator mechanism, which generates high-amplitude transcriptional activity. Our analysis further suggests that regulation of E/E' boxes is a topological vulnerability in mammalian circadian clocks, a concept that has been functionally verified using in vitro phenotype assay systems.
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              Predicting gene expression from sequence.

              We describe a systematic genome-wide approach for learning the complex combinatorial code underlying gene expression. Our probabilistic approach identifies local DNA-sequence elements and the positional and combinatorial constraints that determine their context-dependent role in transcriptional regulation. The inferred regulatory rules correctly predict expression patterns for 73% of genes in Saccharomyces cerevisiae, utilizing microarray expression data and sequences in the 800 bp upstream of genes. Application to Caenorhabditis elegans identifies predictive regulatory elements and combinatorial rules that control the phased temporal expression of transcription factors, histones, and germline specific genes. Successful prediction requires diverse and complex rules utilizing AND, OR, and NOT logic, with significant constraints on motif strength, orientation, and relative position. This system generates a large number of mechanistic hypotheses for focused experimental validation, and establishes a predictive dynamical framework for understanding cellular behavior from genomic sequence.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                pgen
                plge
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                February 2008
                1 February 2008
                13 December 2007
                : 4
                : 2
                : e14
                Affiliations
                [1 ] Plant Biology Laboratory, The Salk Institute for Biological Studies, La Jolla, California, United States of America
                [2 ] Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon, United States of America
                [3 ] Center for Genome Research and Biocomputing, Oregon State University, Corvallis, Oregon, United States of America
                [4 ] Section of Cell and Developmental Biology, University of California San Diego, La Jolla, California, United States of America
                [5 ] Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, California, United States of America
                Howard Hughes Medical Institute, Northwestern University, United States of America
                Author notes
                * To whom correspondence should be addressed. E-mail: chory@ 123456salk.edu
                Article
                07-PLGE-RA-0600R2 plge-04-02-02
                10.1371/journal.pgen.0040014
                2222925
                18248097
                2a55a423-ae52-4a5d-8fe0-d49c7b822ac4
                Copyright: © 2008 Michael et al. 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 author and source are credited.
                History
                : 2 August 2007
                : 10 December 2007
                Page count
                Pages: 17
                Categories
                Research Article
                Computational Biology
                Developmental Biology
                Evolutionary Biology
                Molecular Biology
                Plant Biology
                Arabidopsis (Thale Cress)
                Oryza
                Custom metadata
                Michael TP, Mockler TC, Breton G, McEntee C, Byer A, et al. (2008) Network discovery pipeline elucidates conserved time-of-day–specific cis-regulatory modules. PLoS Genet 4(2): e14. doi: 10.1371/journal.pgen.0040014

                Genetics
                Genetics

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