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Domain architectures of the Scm3p protein provide insights into centromere function and evolution.

ABSTRACT: Recently, Scm3p has been shown to be a nonhistone component of centromeric chromatin that binds stoichiometrically to CenH3-H4 histones, and to be required for the assembly of kinetochores in Saccharomyces cerevisiae. Scm3p is conserved across fungi, and displays a remarkable variation in protein size, ranging from approximately 200 amino acids in S. cerevisiae to approximately 1300 amino acids in Neurospora crassa. This is primarily due a variable C-terminal segment that is linked to a conserved N-terminal, CenH3-interacting domain. We have discovered that the extended C-terminal region of Scm3p is strikingly characterized by lineage-specific fusions of single or multiple predicted DNA-binding domains different versions of the MYB and C2H2 zinc finger domains, AT-hooks, and a novel cysteine-rich metal-chelating cluster that are absent from the small versions of Scm3. Instead, S. cerevisiae point centromeres are recognized by components of the CBF3 DNA binding complex, which are conserved amongst close relatives of budding yeast, but are correspondingly absent from more distant fungi that possess regional centromeres. Hence, the C-terminal DNA binding motifs found in large Scm3p proteins may, along with CenH3, serve as a key epigenetic signal by recognizing and accommodating the lineage-specific diversity of centromere DNA in course of evolution.

SUBMITTER: Aravind L

PROVIDER: S-EPMC2394858 | biostudies-literature | 2007 Oct

REPOSITORIES: biostudies-literature

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Domain architectures of the Scm3p protein provide insights into centromere function and evolution.

Aravind L L Iyer Lakshminarayan M LM Wu Carl C

Cell cycle (Georgetown, Tex.) 20070724 20

Recently, Scm3p has been shown to be a nonhistone component of centromeric chromatin that binds stoichiometrically to CenH3-H4 histones, and to be required for the assembly of kinetochores in Saccharomyces cerevisiae. Scm3p is conserved across fungi, and displays a remarkable variation in protein size, ranging from approximately 200 amino acids in S. cerevisiae to approximately 1300 amino acids in Neurospora crassa. This is primarily due a variable C-terminal segment that is linked to a conserve ...[more]

PMID: 17704645

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Project description:CONSPECTUS: Protein function is inextricably linked to protein dynamics. As we move from a static structural picture to a dynamic ensemble view of protein structure and function, novel computational paradigms are required for observing and understanding conformational dynamics of proteins and its functional implications. In principle, molecular dynamics simulations can provide the time evolution of atomistic models of proteins, but the long time scales associated with functional dynamics make it difficult to observe rare dynamical transitions. The issue of extracting essential functional components of protein dynamics from noisy simulation data presents another set of challenges in obtaining an unbiased understanding of protein motions. Therefore, a methodology that provides a statistical framework for efficient sampling and a human-readable view of the key aspects of functional dynamics from data analysis is required. The Markov state model (MSM), which has recently become popular worldwide for studying protein dynamics, is an example of such a framework. In this Account, we review the use of Markov state models for efficient sampling of the hierarchy of time scales associated with protein dynamics, automatic identification of key conformational states, and the degrees of freedom associated with slow dynamical processes. Applications of MSMs for studying long time scale phenomena such as activation mechanisms of cellular signaling proteins has yielded novel insights into protein function. In particular, from MSMs built using large-scale simulations of GPCRs and kinases, we have shown that complex conformational changes in proteins can be described in terms of structural changes in key structural motifs or "molecular switches" within the protein, the transitions between functionally active and inactive states of proteins proceed via multiple pathways, and ligand or substrate binding modulates the flux through these pathways. Finally, MSMs also provide a theoretical toolbox for studying the effect of nonequilibrium perturbations on conformational dynamics. Considering that protein dynamics in vivo occur under nonequilibrium conditions, MSMs coupled with nonequilibrium statistical mechanics provide a way to connect cellular components to their functional environments. Nonequilibrium perturbations of protein folding MSMs reveal the presence of dynamically frozen glass-like states in their conformational landscape. These frozen states are also observed to be rich in ?-sheets, which indicates their possible role in the nucleation of ?-sheet rich aggregates such as those observed in amyloid-fibril formation. Finally, we describe how MSMs have been used to understand the dynamical behavior of intrinsically disordered proteins such as amyloid-?, human islet amyloid polypeptide, and p53. While certainly not a panacea for studying functional dynamics, MSMs provide a rigorous theoretical foundation for understanding complex entropically dominated processes and a convenient lens for viewing protein motions.

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Domain architectures of the Scm3p protein provide insights into centromere function and evolution.

Publications

Domain architectures of the Scm3p protein provide insights into centromere function and evolution.

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