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      OrganellarGenomeDRAW—a suite of tools for generating physical maps of plastid and mitochondrial genomes and visualizing expression data sets

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      , , , *
      Nucleic Acids Research
      Oxford University Press

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          Abstract

          Mitochondria and plastids (chloroplasts) are cell organelles of endosymbiotic origin that possess their own genetic information. Most organellar DNAs map as circular double-stranded genomes. Across the eukaryotic kingdom, organellar genomes display great size variation, ranging from ∼15 to 20 kb (the size of the mitochondrial genome in most animals) to >10 Mb (the size of the mitochondrial genome in some lineages of flowering plants). We have developed OrganellarGenomeDraw (OGDRAW), a suite of software tools that enable users to create high-quality visual representations of both circular and linear annotated genome sequences provided as GenBank files or accession numbers. Although all types of DNA sequences are accepted as input, the software has been specifically optimized to properly depict features of organellar genomes. A recent extension facilitates the plotting of quantitative gene expression data, such as transcript or protein abundance data, directly onto the genome map. OGDRAW has already become widely used and is available as a free web tool ( http://ogdraw.mpimp-golm.mpg.de/). The core processing components can be downloaded as a Perl module, thus also allowing for convenient integration into custom processing pipelines.

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          Most cited references23

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          The Bioperl toolkit: Perl modules for the life sciences.

          The Bioperl project is an international open-source collaboration of biologists, bioinformaticians, and computer scientists that has evolved over the past 7 yr into the most comprehensive library of Perl modules available for managing and manipulating life-science information. Bioperl provides an easy-to-use, stable, and consistent programming interface for bioinformatics application programmers. The Bioperl modules have been successfully and repeatedly used to reduce otherwise complex tasks to only a few lines of code. The Bioperl object model has been proven to be flexible enough to support enterprise-level applications such as EnsEMBL, while maintaining an easy learning curve for novice Perl programmers. Bioperl is capable of executing analyses and processing results from programs such as BLAST, ClustalW, or the EMBOSS suite. Interoperation with modules written in Python and Java is supported through the evolving BioCORBA bridge. Bioperl provides access to data stores such as GenBank and SwissProt via a flexible series of sequence input/output modules, and to the emerging common sequence data storage format of the Open Bioinformatics Database Access project. This study describes the overall architecture of the toolkit, the problem domains that it addresses, and gives specific examples of how the toolkit can be used to solve common life-sciences problems. We conclude with a discussion of how the open-source nature of the project has contributed to the development effort.
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            DNASTAR's Lasergene sequence analysis software.

            Lasergene's eight modules provide tools that enable users to accomplish each step of sequence analysis, from trimming and assembly of sequence data, to gene discovery, annotation, gene product analysis, sequence similarity searches, sequence alignment, phylogenetic analysis, oligonucleotide primer design, cloning strategies, and publication of the results. The Lasergene software suite provides the functions and customization tools needed so that users can perform analyses the software writers never imagined.
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              Evolution of mitochondrial gene content: gene loss and transfer to the nucleus.

              Mitochondrial gene content is highly variable across extant eukaryotes. The number of mitochondrial protein genes varies from 3 to 67, while tRNA gene content varies from 0 to 27. Moreover, these numbers exclude the many diverse lineages of non-respiring eukaryotes that lack a mitochondrial genome yet still contain a mitochondrion, albeit one often highly derived in ultrastructure and metabolic function, such as the hydrogenosome. Diversity in tRNA gene content primarily reflects differential usage of imported tRNAs of nuclear origin. In the case of protein genes, most of this diversity reflects differential degrees of functional gene transfer to the nucleus, with more minor contributions resulting from gene loss from the cell as a consequence of either substitution via a functional nuclear homolog or the cell's dispensation of the function of the gene product. The tempo and pattern of mitochondrial gene loss is highly episodic, both across the broad sweep of eukaryotes and within such well-studied groups as angiosperms. All animals, some plants, and certain other groups of eukaryotes are mired in profound stases in mitochondrial gene content, whereas other lineages have experienced relatively frequent gene loss. Loss and transfer to the nucleus of ribosomal protein and succinate dehydrogenase genes has been especially frequent, sporadic, and episodic during angiosperm evolution. Potential mechanisms for activation of transferred genes have been inferred, and intermediate stages in the process have been identified by comparative studies. Several hypotheses have been proposed for why mitochondrial genes are transferred to the nucleus, why mitochondria retain genomes, and why functional gene transfer is almost exclusively unidirectional.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                July 2013
                22 April 2013
                22 April 2013
                : 41
                : Web Server issue
                : W575-W581
                Affiliations
                Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +49 331 567 8700; Fax: +49 331 567 8701; Email: rbock@ 123456mpimp-golm.mpg.de

                Present address: Oliver Drechsel, Center for Genomic Regulation (CRG), Dr Aiguader 88, 08003 Barcelona, Spain.

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Article
                gkt289
                10.1093/nar/gkt289
                3692101
                23609545
                154565b7-ec64-41b3-8b85-b1ab215664ac
                © The Author(s) 2013. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 29 January 2013
                : 26 March 2013
                : 31 March 2013
                Page count
                Pages: 7
                Categories
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                Custom metadata
                1 July 2013

                Genetics
                Genetics

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