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      An evolutionary hotspot defines functional differences between CRYPTOCHROMES

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          Abstract

          Mammalian circadian clocks are driven by a transcription/translation feedback loop composed of positive regulators (CLOCK/BMAL1) and repressors (CRYPTOCHROME 1/2 (CRY1/2) and PER1/2). To understand the structural principles of regulation, we used evolutionary sequence analysis to identify co-evolving residues within the CRY/PHL protein family. Here we report the identification of an ancestral secondary cofactor-binding pocket as an interface in repressive CRYs, mediating regulation through direct interaction with CLOCK and BMAL1. Mutations weakening binding between CLOCK/BMAL1 and CRY1 lead to acceleration of the clock, suggesting that subtle sequence divergences at this site can modulate clock function. Divergence between CRY1 and CRY2 at this site results in distinct periodic output. Weaker interactions between CRY2 and CLOCK/BMAL1 at this pocket are strengthened by co-expression of PER2, suggesting that PER expression limits the length of the repressive phase in CRY2-driven rhythms. Overall, this work provides a model for the mechanism and evolutionary variation of clock regulatory mechanisms.

          Abstract

          The molecular mechanisms that define the periodicity or rate of the circadian clock are not well understood. Here the authors use a multidisciplinary approach and identify a mechanism for period regulation that depends on the affinity of the core clock proteins for one another.

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          Most cited references57

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          Transcriptional architecture and chromatin landscape of the core circadian clock in mammals.

          The mammalian circadian clock involves a transcriptional feed back loop in which CLOCK and BMAL1 activate the Period and Cryptochrome genes, which then feedback and repress their own transcription. We have interrogated the transcriptional architecture of the circadian transcriptional regulatory loop on a genome scale in mouse liver and find a stereotyped, time-dependent pattern of transcription factor binding, RNA polymerase II (RNAPII) recruitment, RNA expression, and chromatin states. We find that the circadian transcriptional cycle of the clock consists of three distinct phases: a poised state, a coordinated de novo transcriptional activation state, and a repressed state. Only 22% of messenger RNA (mRNA) cycling genes are driven by de novo transcription, suggesting that both transcriptional and posttranscriptional mechanisms underlie the mammalian circadian clock. We also find that circadian modulation of RNAPII recruitment and chromatin remodeling occurs on a genome-wide scale far greater than that seen previously by gene expression profiling.
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            Role of the CLOCK protein in the mammalian circadian mechanism.

            The mouse Clock gene encodes a bHLH-PAS protein that regulates circadian rhythms and is related to transcription factors that act as heterodimers. Potential partners of CLOCK were isolated in a two-hybrid screen, and one, BMAL1, was coexpressed with CLOCK and PER1 at known circadian clock sites in brain and retina. CLOCK-BMAL1 heterodimers activated transcription from E-box elements, a type of transcription factor-binding site, found adjacent to the mouse per1 gene and from an identical E-box known to be important for per gene expression in Drosophila. Mutant CLOCK from the dominant-negative Clock allele and BMAL1 formed heterodimers that bound DNA but failed to activate transcription. Thus, CLOCK-BMAL1 heterodimers appear to drive the positive component of per transcriptional oscillations, which are thought to underlie circadian rhythmicity.
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              Protein sectors: evolutionary units of three-dimensional structure.

              Proteins display a hierarchy of structural features at primary, secondary, tertiary, and higher-order levels, an organization that guides our current understanding of their biological properties and evolutionary origins. Here, we reveal a structural organization distinct from this traditional hierarchy by statistical analysis of correlated evolution between amino acids. Applied to the S1A serine proteases, the analysis indicates a decomposition of the protein into three quasi-independent groups of correlated amino acids that we term "protein sectors." Each sector is physically connected in the tertiary structure, has a distinct functional role, and constitutes an independent mode of sequence divergence in the protein family. Functionally relevant sectors are evident in other protein families as well, suggesting that they may be general features of proteins. We propose that sectors represent a structural organization of proteins that reflects their evolutionary histories.
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                Author and article information

                Contributors
                carla.green@utsouthwestern.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                19 March 2018
                19 March 2018
                2018
                : 9
                : 1138
                Affiliations
                [1 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Department of Neuroscience, , University of Texas Southwestern Medical Center, ; 5323 Harry Hines Boulevard, Dallas, TX 75390 USA
                [2 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Department of Biophysics, , University of Texas Southwestern Medical Center, ; 6001 Forest Park Road, Dallas, TX 75390 USA
                [3 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, The Green Center for Systems Biology, , University of Texas Southwestern Medical Center, ; 6001 Forest Park Road, Dallas, TX 75390 USA
                [4 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Department of Pharmacology, , University of Texas Southwestern Medical Center, ; 6001 Forest Park Road, Dallas, TX 75390 USA
                [5 ]ISNI 0000 0000 9482 7121, GRID grid.267313.2, Howard Hughes Medical Institute, , University of Texas Southwestern Medical Center, ; Dallas, TX 75390 USA
                [6 ]ISNI 0000 0001 2299 3507, GRID grid.16753.36, Present Address: Department of Neurobiology, , Northwestern University, ; 2205 Tech Drive, Pancoe 2230, Evanston, IL 60208 USA
                [7 ]ISNI 0000 0004 1936 7822, GRID grid.170205.1, Present Address: The Center for the Physics of Evolving Systems, Biochemistry and Molecular Biology, The Institute for Molecular Engineering, , University of Chicago, ; 929 East 57th Street, Chicago, IL 60637 USA
                Author information
                http://orcid.org/0000-0003-0384-8878
                Article
                3503
                10.1038/s41467-018-03503-6
                5859286
                29556064
                b96ff454-fb1c-48f3-9943-5e81e748bf69
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 30 August 2017
                : 19 February 2018
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