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      Arabidopsis thaliana organelles mimic the T7 phage DNA replisome with specific interactions between Twinkle protein and DNA polymerases Pol1A and Pol1B

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          Abstract

          Background

          Plant chloroplasts and mitochondria utilize nuclear encoded proteins to replicate their DNA. These proteins are purposely built for replication in the organelle environment and are distinct from those involved in replication of the nuclear genome. These organelle-localized proteins have ancestral roots in bacterial and bacteriophage genes, supporting the endosymbiotic theory of their origin. We examined the interactions between three of these proteins from Arabidopsis thaliana: a DNA helicase-primase similar to bacteriophage T7 gp4 protein and animal mitochondrial Twinkle, and two DNA polymerases, Pol1A and Pol1B. We used a three-pronged approach to analyze the interactions, including Yeast-two-hybrid analysis, Direct Coupling Analysis (DCA), and thermophoresis.

          Results

          Yeast-two-hybrid analysis reveals residues 120–295 of Twinkle as the minimal region that can still interact with Pol1A or Pol1B. This region is a part of the primase domain of the protein and slightly overlaps the zinc-finger and RNA polymerase subdomains located within. Additionally, we observed that Arabidopsis Twinkle interacts much more strongly with Pol1A versus Pol1B. Thermophoresis also confirms that the primase domain of Twinkle has higher binding affinity than any other region of the protein. Direct-Coupling-Analysis identified specific residues in Twinkle and the DNA polymerases critical to positive interaction between the two proteins.

          Conclusions

          The interaction of Twinkle with Pol1A or Pol1B mimics the minimal DNA replisomes of T7 phage and those present in mammalian mitochondria. However, while T7 and mammals absolutely require their homolog of Twinkle DNA helicase-primase, Arabidopsis Twinkle mutants are seemingly unaffected by this loss. This implies that while Arabidopsis mitochondria mimic minimal replisomes from T7 and mammalian mitochondria, there is an extra level of redundancy specific to loss of Twinkle function.

          Electronic supplementary material

          The online version of this article (10.1186/s12870-019-1854-3) contains supplementary material, which is available to authorized users.

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          Most cited references52

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          Database resources of the National Center for Biotechnology Information

          Abstract The National Center for Biotechnology Information (NCBI) provides a large suite of online resources for biological information and data, including the GenBank® nucleic acid sequence database and the PubMed database of citations and abstracts for published life science journals. The Entrez system provides search and retrieval operations for most of these data from 39 distinct databases. The E-utilities serve as the programming interface for the Entrez system. Augmenting many of the Web applications are custom implementations of the BLAST program optimized to search specialized data sets. New resources released in the past year include PubMed Data Management, RefSeq Functional Elements, genome data download, variation services API, Magic-BLAST, QuickBLASTp, and Identical Protein Groups. Resources that were updated in the past year include the genome data viewer, a human genome resources page, Gene, virus variation, OSIRIS, and PubChem. All of these resources can be accessed through the NCBI home page at www.ncbi.nlm.nih.gov.
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            Clustal Omega for making accurate alignments of many protein sequences.

            Clustal Omega is a widely used package for carrying out multiple sequence alignment. Here, we describe some recent additions to the package and benchmark some alternative ways of making alignments. These benchmarks are based on protein structure comparisons or predictions and include a recently described method based on secondary structure prediction. In general, Clustal Omega is fast enough to make very large alignments and the accuracy of protein alignments is high when compared to alternative packages. The package is freely available as executables or source code from www.clustal.org or can be run on-line from a variety of sites, especially the EBI www.ebi.ac.uk.
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              Direct-coupling analysis of residue coevolution captures native contacts across many protein families.

              The similarity in the three-dimensional structures of homologous proteins imposes strong constraints on their sequence variability. It has long been suggested that the resulting correlations among amino acid compositions at different sequence positions can be exploited to infer spatial contacts within the tertiary protein structure. Crucial to this inference is the ability to disentangle direct and indirect correlations, as accomplished by the recently introduced direct-coupling analysis (DCA). Here we develop a computationally efficient implementation of DCA, which allows us to evaluate the accuracy of contact prediction by DCA for a large number of protein domains, based purely on sequence information. DCA is shown to yield a large number of correctly predicted contacts, recapitulating the global structure of the contact map for the majority of the protein domains examined. Furthermore, our analysis captures clear signals beyond intradomain residue contacts, arising, e.g., from alternative protein conformations, ligand-mediated residue couplings, and interdomain interactions in protein oligomers. Our findings suggest that contacts predicted by DCA can be used as a reliable guide to facilitate computational predictions of alternative protein conformations, protein complex formation, and even the de novo prediction of protein domain structures, contingent on the existence of a large number of homologous sequences which are being rapidly made available due to advances in genome sequencing.
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                Author and article information

                Contributors
                stewmorley@gmail.com
                antolin.peralta@cinvestav.mx
                luis.brieba@cinvestav.mx
                justin@ke7gts.com
                jkm525@go.byuh.edu
                perry.ridge@byu.edu
                aeoliphant@gmail.com
                stephen.r.aldous@gmail.com
                1-801-422-1102 , brentnielsen@byu.edu
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                6 June 2019
                6 June 2019
                2019
                : 19
                : 241
                Affiliations
                [1 ]ISNI 0000 0004 1936 9115, GRID grid.253294.b, Department of Microbiology & Molecular Biology, , Brigham Young University, ; 3130 Life Sciences Building, 4007 LSB, Provo, UT 84604 USA
                [2 ]Langebio-Cinvestav Sede Irapuato, Km. 9.6 Libramiento Norte Carretera. Irapuato-León, 36821 Irapuato, Guanajuato Mexico
                [3 ]ISNI 0000 0004 1936 9115, GRID grid.253294.b, Department of Biology, , Brigham Young University, ; 4007 LSB, Provo, UT 84604 USA
                Author information
                http://orcid.org/0000-0001-6300-4816
                Article
                1854
                10.1186/s12870-019-1854-3
                6554949
                31170927
                9f062b31-edbf-4a36-aa3a-7886ca82e00e
                © 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. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 February 2019
                : 28 May 2019
                Funding
                Funded by: CONACYT
                Award ID: 253757
                Funded by: FundRef http://dx.doi.org/10.13039/100006757, Office of Research and Creative Activities, Brigham Young University;
                Award ID: 2005
                Funded by: FundRef http://dx.doi.org/10.13039/100006756, Brigham Young University;
                Award ID: 2016
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Plant science & Botany
                arabidopsis,organellar dna replication,yeast-two-hybrid,direct-coupling-analysis,thermophoresis

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