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      Mitochondrial Genome Sequences and Structures Aid in the Resolution of Piroplasmida phylogeny

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          Abstract

          The taxonomy of the order Piroplasmida, which includes a number of clinically and economically relevant organisms, is a hotly debated topic amongst parasitologists. Three genera ( Babesia, Theileria, and Cytauxzoon) are recognized based on parasite life cycle characteristics, but molecular phylogenetic analyses of 18S sequences have suggested the presence of five or more distinct Piroplasmida lineages. Despite these important advancements, a few studies have been unable to define the taxonomic relationships of some organisms (e.g. C. felis and T. equi) with respect to other Piroplasmida. Additional evidence from mitochondrial genome sequences and synteny should aid in the inference of Piroplasmida phylogeny and resolution of taxonomic uncertainties. In this study, we have amplified, sequenced, and annotated seven previously uncharacterized mitochondrial genomes ( Babesia canis, Babesia vogeli, Babesia rossi, Babesia sp. Coco, Babesia conradae, Babesia microti-like sp., and Cytauxzoon felis) and identified additional ribosomal fragments in ten previously characterized mitochondrial genomes. Phylogenetic analysis of concatenated mitochondrial and 18S sequences as well as cox1 amino acid sequence identified five distinct Piroplasmida groups, each of which possesses a unique mitochondrial genome structure. Specifically, our results confirm the existence of four previously identified clades ( B. microti group, Babesia sensu stricto, Theileria equi, and a Babesia sensu latu group that includes B. conradae) while supporting the integration of Theileria and Cytauxzoon species into a single fifth taxon. Although known biological characteristics of Piroplasmida corroborate the proposed phylogeny, more investigation into parasite life cycles is warranted to further understand the evolution of the Piroplasmida. Our results provide an evolutionary framework for comparative biology of these important animal and human pathogens and help focus renewed efforts toward understanding the phylogenetic relationships within the group.

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          Most cited references80

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          SMART, a simple modular architecture research tool: identification of signaling domains.

          Accurate multiple alignments of 86 domains that occur in signaling proteins have been constructed and used to provide a Web-based tool (SMART: simple modular architecture research tool) that allows rapid identification and annotation of signaling domain sequences. The majority of signaling proteins are multidomain in character with a considerable variety of domain combinations known. Comparison with established databases showed that 25% of our domain set could not be deduced from SwissProt and 41% could not be annotated by Pfam. SMART is able to determine the modular architectures of single sequences or genomes; application to the entire yeast genome revealed that at least 6.7% of its genes contain one or more signaling domains, approximately 350 greater than previously annotated. The process of constructing SMART predicted (i) novel domain homologues in unexpected locations such as band 4.1-homologous domains in focal adhesion kinases; (ii) previously unknown domain families, including a citron-homology domain; (iii) putative functions of domain families after identification of additional family members, for example, a ubiquitin-binding role for ubiquitin-associated domains (UBA); (iv) cellular roles for proteins, such predicted DEATH domains in netrin receptors further implicating these molecules in axonal guidance; (v) signaling domains in known disease genes such as SPRY domains in both marenostrin/pyrin and Midline 1; (vi) domains in unexpected phylogenetic contexts such as diacylglycerol kinase homologues in yeast and bacteria; and (vii) likely protein misclassifications exemplified by a predicted pleckstrin homology domain in a Candida albicans protein, previously described as an integrin.
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            Sequencing of the smallest Apicomplexan genome from the human pathogen Babesia microti†

            We have sequenced the genome of the emerging human pathogen Babesia microti and compared it with that of other protozoa. B. microti has the smallest nuclear genome among all Apicomplexan parasites sequenced to date with three chromosomes encoding ∼3500 polypeptides, several of which are species specific. Genome-wide phylogenetic analyses indicate that B. microti is significantly distant from all species of Babesidae and Theileridae and defines a new clade in the phylum Apicomplexa. Furthermore, unlike all other Apicomplexa, its mitochondrial genome is circular. Genome-scale reconstruction of functional networks revealed that B. microti has the minimal metabolic requirement for intraerythrocytic protozoan parasitism. B. microti multigene families differ from those of other protozoa in both the copy number and organization. Two lateral transfer events with significant metabolic implications occurred during the evolution of this parasite. The genomic sequencing of B. microti identified several targets suitable for the development of diagnostic assays and novel therapies for human babesiosis.
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              Babesiosis.

              Babesiosis is caused by intraerythrocytic protozoan parasites that are transmitted by ticks, or less commonly through blood transfusion or transplacentally. Human babesiosis was first recognized in a splenectomized patient in Europe but most cases have been reported from the northeastern and upper midwestern United States in people with an intact spleen and no history of immune impairment. Cases are reported in Asia, Africa, Australia, Europe, and South America. Babesiosis shares many clinical features with malaria and can be fatal, particularly in the elderly and the immunocompromised.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                10 November 2016
                2016
                : 11
                : 11
                : e0165702
                Affiliations
                [1 ]North Carolina State University, College of Veterinary Medicine, Raleigh, North Carolina, United States of America
                [2 ]University of Georgia, College of Veterinary Medicine, Athens, Georgia, United States of America
                [3 ]University of Missouri, College of Veterinary Medicine, Columbia, Missouri, United States of America
                [4 ]North Carolina State University, College of Agriculture and Life Sciences, Raleigh, North Carolina, United States of America
                University of the Sunshine Coast, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                • Conceptualization: MES HSM JLT LAC DMB EHS MGL BMW AJB.

                • Data curation: MES BMW AJB.

                • Formal analysis: MES BMW AJB.

                • Funding acquisition: AJB.

                • Investigation: MES HSM BMW AJB.

                • Methodology: MES HSM BMW AJB.

                • Project administration: AJB.

                • Resources: MES HSM JLT LAC DMB EHS MGL BMW AJB.

                • Software: EHS BMW.

                • Supervision: BMW AJB.

                • Visualization: MES HSM JLT LAC DMB EHS MGL BMW AJB.

                • Writing – original draft: MES HSM JLT LAC DMB EHS MGL BMW AJB.

                • Writing – review & editing: MES HSM JLT LAC DMB EHS MGL BMW AJB.

                ‡ These authors are joint senior authors on this work.

                Author information
                http://orcid.org/0000-0001-5649-8854
                Article
                PONE-D-16-06298
                10.1371/journal.pone.0165702
                5104439
                27832128
                e34c794e-20d9-4071-8808-03caf28e2a81
                © 2016 Schreeg et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 February 2016
                : 17 October 2016
                Page count
                Figures: 7, Tables: 2, Pages: 27
                Funding
                This work was funded by a charitable organization that wishes to remain anonymous. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Parasitology
                Parasite Groups
                Apicomplexa
                Babesia
                Biology and Life Sciences
                Organisms
                Protozoans
                Parasitic Protozoans
                Babesia
                Biology and Life Sciences
                Biochemistry
                Bioenergetics
                Energy-Producing Organelles
                Mitochondria
                Biology and Life Sciences
                Cell Biology
                Cellular Structures and Organelles
                Energy-Producing Organelles
                Mitochondria
                Biology and Life Sciences
                Parasitology
                Parasite Groups
                Apicomplexa
                Theileria
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Phylogenetic Analysis
                Research and Analysis Methods
                Molecular Biology Techniques
                Molecular Biology Assays and Analysis Techniques
                Phylogenetic Analysis
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Biology and life sciences
                Molecular biology
                Molecular biology techniques
                Sequencing techniques
                Sequence analysis
                DNA sequence analysis
                Research and analysis methods
                Molecular biology techniques
                Sequencing techniques
                Sequence analysis
                DNA sequence analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Animal Genomics
                Mammalian Genomics
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Amino Acid Sequence Analysis
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Amino Acid Sequence Analysis
                Custom metadata
                All relevant data are either within the paper, its Supporting Information files, or available on public repositories. All new sequence data (accession numbers provided within paper) are available at NCBI ( http://www.ncbi.nlm.nih.gov/). Alignments and phylogenetic data sets are archived in the DRYAD public data repository ( www.datadryad.org).

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