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      Chromerid genomes reveal the evolutionary path from photosynthetic algae to obligate intracellular parasites

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      1 , * , 1 , 2 , 3 , 4 , 5 , 6 , 1 , 7 , 1 , 8 , 9 , 10 , 4 , 5 , 6 , 5 , 11 , 12 , 5 , 5 , 6 , 4 , 12 , 13 , 14 , 15 , 16 , 1 , 1 , 9 , 17 , 1 , 1 , 12 , 5 , 6 , 18 , 19 , 20 , 8 , 4 , 10 , 3 , 21 , 22 , 12 , 23 , 5 , 6 , 24 , 5 , 6 , 25 , 1 , *
      eLife
      eLife Sciences Publications, Ltd
      Chromera velia, Vitrella brassicaformis, evolution of parasitism, malaria, toxoplasmosis, other

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          Abstract

          The eukaryotic phylum Apicomplexa encompasses thousands of obligate intracellular parasites of humans and animals with immense socio-economic and health impacts. We sequenced nuclear genomes of Chromera velia and Vitrella brassicaformis, free-living non-parasitic photosynthetic algae closely related to apicomplexans. Proteins from key metabolic pathways and from the endomembrane trafficking systems associated with a free-living lifestyle have been progressively and non-randomly lost during adaptation to parasitism. The free-living ancestor contained a broad repertoire of genes many of which were repurposed for parasitic processes, such as extracellular proteins, components of a motility apparatus, and DNA- and RNA-binding protein families. Based on transcriptome analyses across 36 environmental conditions, Chromera orthologs of apicomplexan invasion-related motility genes were co-regulated with genes encoding the flagellar apparatus, supporting the functional contribution of flagella to the evolution of invasion machinery. This study provides insights into how obligate parasites with diverse life strategies arose from a once free-living phototrophic marine alga.

          DOI: http://dx.doi.org/10.7554/eLife.06974.001

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          Single-celled parasites cause many severe diseases in humans and animals. The apicomplexans form probably the most successful group of these parasites and include the parasites that cause malaria. Apicomplexans infect a broad range of hosts, including humans, reptiles, birds, and insects, and often have complicated life cycles. For example, the malaria-causing parasites spread by moving from humans to female mosquitoes and then back to humans.

          Despite significant differences amongst apicomplexans, these single-celled parasites also share a number of features that are not seen in other living species. How and when these features arose remains unclear. It is known from previous work that apicomplexans are closely related to single-celled algae. But unlike apicomplexans, which depend on a host animal to survive, these algae live freely in their environment, often in close association with corals.

          Woo et al. have now sequenced the genomes of two photosynthetic algae that are thought to be close living relatives of the apicomplexans. These genomes were then compared to each other and to the genomes of other algae and apicomplexans. These comparisons reconfirmed that the two algae that were studied were close relatives of the apicomplexans.

          Further analyses suggested that thousands of genes were lost as an ancient free-living algae evolved into the apicomplexan ancestor, and further losses occurred as these early parasites evolved into modern species. The lost genes were typically those that are important for free-living organisms, but are either a hindrance to, or not needed in, a parasitic lifestyle. Some of the ancestor's genes, especially those that coded for the building blocks of flagella (structures which free-living algae use to move around), were repurposed in ways that helped the apicomplexans to invade their hosts. Understanding this repurposing process in greater detail will help to identify key molecules in these deadly parasites that could be targeted by drug treatments. It will also offer answers to one of the most fascinating questions in evolutionary biology: how parasites have evolved from free-living organisms.

          DOI: http://dx.doi.org/10.7554/eLife.06974.002

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          A gene-coexpression network for global discovery of conserved genetic modules.

          To elucidate gene function on a global scale, we identified pairs of genes that are coexpressed over 3182 DNA microarrays from humans, flies, worms, and yeast. We found 22,163 such coexpression relationships, each of which has been conserved across evolution. This conservation implies that the coexpression of these gene pairs confers a selective advantage and therefore that these genes are functionally related. Many of these relationships provide strong evidence for the involvement of new genes in core biological functions such as the cell cycle, secretion, and protein expression. We experimentally confirmed the predictions implied by some of these links and identified cell proliferation functions for several genes. By assembling these links into a gene-coexpression network, we found several components that were animal-specific as well as interrelationships between newly evolved and ancient modules.
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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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              LTRharvest, an efficient and flexible software for de novo detection of LTR retrotransposons

              Background Transposable elements are abundant in eukaryotic genomes and it is believed that they have a significant impact on the evolution of gene and chromosome structure. While there are several completed eukaryotic genome projects, there are only few high quality genome wide annotations of transposable elements. Therefore, there is a considerable demand for computational identification of transposable elements. LTR retrotransposons, an important subclass of transposable elements, are well suited for computational identification, as they contain long terminal repeats (LTRs). Results We have developed a software tool LTRharvest for the de novo detection of full length LTR retrotransposons in large sequence sets. LTRharvest efficiently delivers high quality annotations based on known LTR transposon features like length, distance, and sequence motifs. A quality validation of LTRharvest against a gold standard annotation for Saccharomyces cerevisae and Drosophila melanogaster shows a sensitivity of up to 90% and 97% and specificity of 100% and 72%, respectively. This is comparable or slightly better than annotations for previous software tools. The main advantage of LTRharvest over previous tools is (a) its ability to efficiently handle large datasets from finished or unfinished genome projects, (b) its flexibility in incorporating known sequence features into the prediction, and (c) its availability as an open source software. Conclusion LTRharvest is an efficient software tool delivering high quality annotation of LTR retrotransposons. It can, for example, process the largest human chromosome in approx. 8 minutes on a Linux PC with 4 GB of memory. Its flexibility and small space and run-time requirements makes LTRharvest a very competitive candidate for future LTR retrotransposon annotation projects. Moreover, the structured design and implementation and the availability as open source provides an excellent base for incorporating novel concepts to further improve prediction of LTR retrotransposons.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                2050-084X
                15 July 2015
                2015
                : 4
                : e06974
                Affiliations
                [1 ]deptPathogen Genomics Laboratory, Biological and Environmental Sciences and Engineering Division , King Abdullah University of Science and Technology , Thuwal, Saudi Arabia
                [2 ]deptParasite Genomics, Wellcome Trust Sanger Institute , Wellcome Trust Genome Campus , Cambridge, United Kingdom
                [3 ]deptDepartment of Cell Biology , University of Alberta , Edmonton, Canada
                [4 ]deptCanadian Institute for Advanced Research, Department of Botany , University of British Columbia , Vancouver, Canada
                [5 ]deptInstitute of Parasitology, Biology Centre , Czech Academy of Sciences , České Budějovice, Czech Republic
                [6 ]deptFaculty of Sciences , University of South Bohemia , České Budějovice, Czech Republic
                [7 ]deptBiochemical Sciences Division , CSIR National Chemical Laboratory , Pune, India
                [8 ]deptEcology and Evolutionary Biology Section , Institut de Biologie de l'Ecole Normale Supérieure, CNRS UMR8197 INSERM U1024 , Paris, France
                [9 ]deptBioscience Core Laboratory , King Abdullah University of Science and Technology , Thuwal, Saudi Arabia
                [10 ]deptDepartment of Biology , University of Pennsylvania , Philadelphia, United States
                [11 ]deptLife Science Research Centre, Faculty of Science , University of Ostrava , Ostrava, Czech Republic
                [12 ]deptSchool of Botany , University of Melbourne , Parkville, Australia
                [13 ]Seattle Biomedical Research Institute , Seattle, United States
                [14 ]deptCentro de Biología Molecular Severo Ochoa , CSIC/Universidad Autónoma de Madrid , Madrid, Spain
                [15 ]IE Business School, IE University , Madrid, Spain
                [16 ]deptCentre for GeoGenetics, Natural History Museum of Denmark , University of Copenhagen , Copenhagen, Denmark
                [17 ]European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton , Cambridge, United Kingdom
                [18 ]deptWellcome Trust Centre For Molecular Parasitology, Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences , University of Glasgow , Glasgow, United Kingdom
                [19 ]deptBroad Genome Sequencing and Analysis Program , Broad Institute of MIT and Harvard , Cambridge, United States
                [20 ]deptDepartment of Microbiology , Monash University , Clayton, Australia
                [21 ]deptDepartment of Microbiology and Immunology , Weill Cornell Medical College , New York, United States
                [22 ]deptDepartment of Protozoology, Institute of Tropical Medicine , Nagasaki University , Nagasaki, Japan
                [23 ]deptDepartment of Biochemistry , University of Cambridge , Cambridge, United Kingdom
                [24 ]Canadian Institute for Advanced Research , Toronto, Canada
                [25 ]deptInstitute of Microbiology , Czech Academy of Sciences , České Budějovice, Czech Republic
                Vienna Biocenter , Austria
                Vienna Biocenter , Austria
                Author notes
                [* ]For correspondence: yong.woo@ 123456kaust.edu.sa (YHW);
                [†]

                These authors contributed equally to this work.

                [‡]

                Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research institute, Seattle, United States.

                [§]

                Biological and Environmental Sciences and Engineering Division, Center for Desert Agriculture, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

                [¶]

                The Samuel Roberts Noble Foundation, Ardmore, United States.

                Article
                06974
                10.7554/eLife.06974
                4501334
                26175406
                fc77f9f6-0c5c-4fe1-9952-1a780f3333b6
                © 2015, Woo et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 16 February 2015
                : 16 June 2015
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100004052, universityKing Abdullah University of Science and Technology (KAUST);
                Award ID: FIC/2010/09
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001412, universityCouncil of Scientific and Industrial Research;
                Award ID: BSC0124
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000060, National Institute of Allergy and Infectious Diseases (NIAID);
                Award ID: HHSN272200900018C
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000923, Australian Research Council (ARC);
                Award ID: DP120100599
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001779, universityMonash University;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council (NHMRC);
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001824, Czech Science Foundation (Grantová agentura Ceské republiky);
                Award ID: P506/12/1522, 13-33039S, P501/12/G055
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Genomics and Evolutionary Biology
                Microbiology and Infectious Disease
                Custom metadata
                2.3
                Analysis of chromerid algal genomes reveals how apicomplexans have evolved from free-living algae into successful eukaryotic parasites via massive losses and re-inventing functional roles of genes.

                Life sciences
                chromera velia,vitrella brassicaformis,evolution of parasitism,malaria,toxoplasmosis,other

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