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      The E. coli MinCDE system in the regulation of protein patterns and gradients

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          Abstract

          Molecular self-organziation, also regarded as pattern formation, is crucial for the correct distribution of cellular content. The processes leading to spatiotemporal patterns often involve a multitude of molecules interacting in complex networks, so that only very few cellular pattern-forming systems can be regarded as well understood. Due to its compositional simplicity, the Escherichia coli MinCDE system has, thus, become a paradigm for protein pattern formation. This biological reaction diffusion system spatiotemporally positions the division machinery in E. coli and is closely related to ParA-type ATPases involved in most aspects of spatiotemporal organization in bacteria. The ATPase MinD and the ATPase-activating protein MinE self-organize on the membrane as a reaction matrix. In vivo, these two proteins typically oscillate from pole-to-pole, while in vitro they can form a variety of distinct patterns. MinC is a passenger protein supposedly operating as a downstream cue of the system, coupling it to the division machinery. The MinCDE system has helped to extract not only the principles underlying intracellular patterns, but also how they are shaped by cellular boundaries. Moreover, it serves as a model to investigate how patterns can confer information through specific and non-specific interactions with other molecules. Here, we review how the three Min proteins self-organize to form patterns, their response to geometric boundaries, and how these patterns can in turn induce patterns of other molecules, focusing primarily on experimental approaches and developments.

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          Most cited references190

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          Reaction-diffusion model as a framework for understanding biological pattern formation.

          The Turing, or reaction-diffusion (RD), model is one of the best-known theoretical models used to explain self-regulated pattern formation in the developing animal embryo. Although its real-world relevance was long debated, a number of compelling examples have gradually alleviated much of the skepticism surrounding the model. The RD model can generate a wide variety of spatial patterns, and mathematical studies have revealed the kinds of interactions required for each, giving this model the potential for application as an experimental working hypothesis in a wide variety of morphological phenomena. In this review, we describe the essence of this theory for experimental biologists unfamiliar with the model, using examples from experimental studies in which the RD model is effectively incorporated.
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            Distantly related sequences in the alpha- and beta-subunits of ATP synthase, myosin, kinases and other ATP-requiring enzymes and a common nucleotide binding fold.

            The alpha- and beta-subunits of membrane-bound ATP synthase complex bind ATP and ADP: beta contributes to catalytic sites, and alpha may be involved in regulation of ATP synthase activity. The sequences of beta-subunits are highly conserved in Escherichia coli and bovine mitochondria. Also alpha and beta are weakly homologous to each other throughout most of their amino acid sequences, suggesting that they have common functions in catalysis. Related sequences in both alpha and beta and in other enzymes that bind ATP or ADP in catalysis, notably myosin, phosphofructokinase, and adenylate kinase, help to identify regions contributing to an adenine nucleotide binding fold in both ATP synthase subunits.
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              Classification and evolution of P-loop GTPases and related ATPases.

              Sequences and available structures were compared for all the widely distributed representatives of the P-loop GTPases and GTPase-related proteins with the aim of constructing an evolutionary classification for this superclass of proteins and reconstructing the principal events in their evolution. The GTPase superclass can be divided into two large classes, each of which has a unique set of sequence and structural signatures (synapomorphies). The first class, designated TRAFAC (after translation factors) includes enzymes involved in translation (initiation, elongation, and release factors), signal transduction (in particular, the extended Ras-like family), cell motility, and intracellular transport. The second class, designated SIMIBI (after signal recognition particle, MinD, and BioD), consists of signal recognition particle (SRP) GTPases, the assemblage of MinD-like ATPases, which are involved in protein localization, chromosome partitioning, and membrane transport, and a group of metabolic enzymes with kinase or related phosphate transferase activity. These two classes together contain over 20 distinct families that are further subdivided into 57 subfamilies (ancient lineages) on the basis of conserved sequence motifs, shared structural features, and domain architectures. Ten subfamilies show a universal phyletic distribution compatible with presence in the last universal common ancestor of the extant life forms (LUCA). These include four translation factors, two OBG-like GTPases, the YawG/YlqF-like GTPases (these two subfamilies also consist of predicted translation factors), the two signal-recognition-associated GTPases, and the MRP subfamily of MinD-like ATPases. The distribution of nucleotide specificity among the proteins of the GTPase superclass indicates that the common ancestor of the entire superclass was a GTPase and that a secondary switch to ATPase activity has occurred on several independent occasions during evolution. The functions of most GTPases that are traceable to LUCA are associated with translation. However, in contrast to other superclasses of P-loop NTPases (RecA-F1/F0, AAA+, helicases, ABC), GTPases do not participate in NTP-dependent nucleic acid unwinding and reorganizing activities. Hence, we hypothesize that the ancestral GTPase was an enzyme with a generic regulatory role in translation, with subsequent diversification resulting in acquisition of diverse functions in transport, protein trafficking, and signaling. In addition to the classification of previously known families of GTPases and related ATPases, we introduce several previously undetected families and describe new functional predictions.
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                Author and article information

                Contributors
                +49 89 8578-2900 , schwille@biochem.mpg.de
                Journal
                Cell Mol Life Sci
                Cell. Mol. Life Sci
                Cellular and Molecular Life Sciences
                Springer International Publishing (Cham )
                1420-682X
                1420-9071
                17 July 2019
                17 July 2019
                2019
                : 76
                : 21
                : 4245-4273
                Affiliations
                GRID grid.418615.f, ISNI 0000 0004 0491 845X, Max Planck Institute of Biochemistry, ; Am Klopferspitz 18, 82152 Martinsried, Germany
                Author information
                http://orcid.org/0000-0002-6106-4847
                Article
                3218
                10.1007/s00018-019-03218-x
                6803595
                31317204
                72729f12-6e7c-4bc3-8220-548eb2c835a8
                © The Author(s) 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

                History
                : 30 April 2019
                : 27 June 2019
                : 2 July 2019
                Funding
                Funded by: DFG
                Award ID: TRR174
                Award ID: SFB1032
                Award ID: QBM
                Award Recipient :
                Funded by: BMBF
                Award ID: MaxSynBio
                Award Recipient :
                Categories
                Review
                Custom metadata
                © Springer Nature Switzerland AG 2019

                Molecular biology
                reaction–diffusion mechanism,spatiotemporal regulation,para-type atpase,geometry sensing,reconstitution,ftsz

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