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      The evolutionary dynamics of variant antigen genes in Babesia reveal a history of genomic innovation underlying host–parasite interaction

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          Abstract

          Babesia spp. are tick-borne, intraerythrocytic hemoparasites that use antigenic variation to resist host immunity, through sequential modification of the parasite-derived variant erythrocyte surface antigen (VESA) expressed on the infected red blood cell surface. We identified the genomic processes driving antigenic diversity in genes encoding VESA ( ves1) through comparative analysis within and between three Babesia species, ( B. bigemina, B. divergens and B. bovis). Ves1 structure diverges rapidly after speciation, notably through the evolution of shortened forms ( ves2) from 5′ ends of canonical ves1 genes. Phylogenetic analyses show that ves1 genes are transposed between loci routinely, whereas ves2 genes are not. Similarly, analysis of sequence mosaicism shows that recombination drives variation in ves1 sequences, but less so for ves2, indicating the adoption of different mechanisms for variation of the two families. Proteomic analysis of the B. bigemina PR isolate shows that two dominant VESA1 proteins are expressed in the population, whereas numerous VESA2 proteins are co-expressed, consistent with differential transcriptional regulation of each family. Hence, VESA2 proteins are abundant and previously unrecognized elements of Babesia biology, with evolutionary dynamics consistently different to those of VESA1, suggesting that their functions are distinct.

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          Most cited references81

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          MRBAYES: Bayesian inference of phylogenetic trees.

          The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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            Toward almost closed genomes with GapFiller

            De novo assembly is a commonly used application of next-generation sequencing experiments. The ultimate goal is to puzzle millions of reads into one complete genome, although draft assemblies usually result in a number of gapped scaffold sequences. In this paper we propose an automated strategy, called GapFiller, to reliably close gaps within scaffolds using paired reads. The method shows good results on both bacterial and eukaryotic datasets, allowing only few errors. As a consequence, the amount of additional wetlab work needed to close a genome is drastically reduced. The software is available at http://www.baseclear.com/bioinformatics-tools/.
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              The genome of the African trypanosome Trypanosoma brucei.

              African trypanosomes cause human sleeping sickness and livestock trypanosomiasis in sub-Saharan Africa. We present the sequence and analysis of the 11 megabase-sized chromosomes of Trypanosoma brucei. The 26-megabase genome contains 9068 predicted genes, including approximately 900 pseudogenes and approximately 1700 T. brucei-specific genes. Large subtelomeric arrays contain an archive of 806 variant surface glycoprotein (VSG) genes used by the parasite to evade the mammalian immune system. Most VSG genes are pseudogenes, which may be used to generate expressed mosaic genes by ectopic recombination. Comparisons of the cytoskeleton and endocytic trafficking systems with those of humans and other eukaryotic organisms reveal major differences. A comparison of metabolic pathways encoded by the genomes of T. brucei, T. cruzi, and Leishmania major reveals the least overall metabolic capability in T. brucei and the greatest in L. major. Horizontal transfer of genes of bacterial origin has contributed to some of the metabolic differences in these parasites, and a number of novel potential drug targets have been identified.
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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
                01 July 2014
                05 May 2014
                05 May 2014
                : 42
                : 11
                : 7113-7131
                Affiliations
                [1 ]Department of Infection Biology, Institute of Infection and Global Health, University of Liverpool, Liverpool Science Park Ic2, 146 Brownlow Hill, Liverpool L3 5RF, UK
                [2 ]Pathogen Genomics Group, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK
                [3 ]Department of Functional and Comparative Genomics, Institute of Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
                [4 ]Computational Bioscience Research Center, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
                [5 ]Laboratorio de Inmunología y , EEA-INTA CC 22, 2300 Rafaela Santa Fe, Argentina
                [6 ]Centro Nacional de Investigaciones Agropecuarias, Instituto de Biotecnología INTA, Buenos Aires, Argentina
                [7 ]Bioinformatics Laboratory, Structural and Computational Biology Group, International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110 067, India
                [8 ]Department of Agriculture, Fisheries and Forestry, Biosecurity Sciences Laboratory, 39 Kessels Road, Coopers Plains, Queensland 4108, Australia
                [9 ]UMR1300 INRA/Oniris Biology, Epidemiology and Risk Analysis in Animal Health, BP 40706, F-44307 Nantes, France
                [10 ]FG Parasitologie, Philipps Universität Marburg, Karl von Frisch Strasse 8, 35043 Marburg, Germany
                [11 ]Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, 464 Bearsden Road, Glasgow G61 1QH, UK
                [12 ]Department of Infectious Diseases and Pathology, and Genetics Institute, University of Florida, PO Box 110880, 2015 SW 16th Avenue, Gainesville FL 33611-0880, USA
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +44 151 7950225; Fax: +44 151 7955529; Email: a.p.jackson@ 123456liv.ac.uk
                Article
                10.1093/nar/gku322
                4066756
                24799432
                846e6bb9-209f-44b5-a07b-d8e53f810b72
                © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 4 April 2014
                : 3 April 2014
                : 3 January 2014
                Page count
                Pages: 19
                Categories
                Gene regulation, Chromatin and Epigenetics
                Custom metadata
                2014

                Genetics
                Genetics

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