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      Comparative genomics and transcriptomics of 4 Paragonimus species provide insights into lung fluke parasitism and pathogenesis

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          Abstract

          Background

          Paragonimus spp. (lung flukes) are among the most injurious foodborne helminths, infecting ∼23 million people and subjecting ∼292 million to infection risk. Paragonimiasis is acquired from infected undercooked crustaceans and primarily affects the lungs but often causes lesions elsewhere including the brain. The disease is easily mistaken for tuberculosis owing to similar pulmonary symptoms, and accordingly, diagnostics are in demand.

          Results

          We assembled, annotated, and compared draft genomes of 4 prevalent and distinct Paragonimus species: Paragonimus miyazakii, Paragonimus westermani, Paragonimus kellicotti, and Paragonimus heterotremus. Genomes ranged from 697 to 923 Mb, included 12,072–12,853 genes, and were 71.6–90.1% complete according to BUSCO. Orthologous group analysis spanning 21 species (lung, liver, and blood flukes, additional platyhelminths, and hosts) provided insights into lung fluke biology. We identified 256 lung fluke–specific and conserved orthologous groups with consistent transcriptional adult-stage Paragonimus expression profiles and enriched for iron acquisition, immune modulation, and other parasite functions. Previously identified Paragonimus diagnostic antigens were matched to genes, providing an opportunity to optimize and ensure pan- Paragonimus reactivity for diagnostic assays.

          Conclusions

          This report provides advances in molecular understanding of Paragonimus and underpins future studies into the biology, evolution, and pathogenesis of Paragonimus and related foodborne flukes. We anticipate that these novel genomic and transcriptomic resources will be invaluable for future lung fluke research.

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          Most cited references65

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          Estimating gene gain and loss rates in the presence of error in genome assembly and annotation using CAFE 3.

          Current sequencing methods produce large amounts of data, but genome assemblies constructed from these data are often fragmented and incomplete. Incomplete and error-filled assemblies result in many annotation errors, especially in the number of genes present in a genome. This means that methods attempting to estimate rates of gene duplication and loss often will be misled by such errors and that rates of gene family evolution will be consistently overestimated. Here, we present a method that takes these errors into account, allowing one to accurately infer rates of gene gain and loss among genomes even with low assembly and annotation quality. The method is implemented in the newest version of the software package CAFE, along with several other novel features. We demonstrate the accuracy of the method with extensive simulations and reanalyze several previously published data sets. Our results show that errors in genome annotation do lead to higher inferred rates of gene gain and loss but that CAFE 3 sufficiently accounts for these errors to provide accurate estimates of important evolutionary parameters.
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            WormBase ParaSite − a comprehensive resource for helminth genomics

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              Twenty years of the MEROPS database of proteolytic enzymes, their substrates and inhibitors

              The MEROPS database (http://merops.sanger.ac.uk) is an integrated source of information about peptidases, their substrates and inhibitors, which are of great relevance to biology, medicine and biotechnology. The hierarchical classification of the database is as follows: homologous sets of sequences are grouped into a protein species; protein species are grouped into a family; families are grouped into clans. There is a type example for each protein species (known as a ‘holotype’), family and clan, and each protein species, family and clan has its own unique identifier. Pages to show the involvement of peptidases and peptidase inhibitors in biological pathways have been created. Each page shows the peptidases and peptidase inhibitors involved in the pathway, along with the known substrate cleavages and peptidase-inhibitor interactions, and a link to the KEGG database of biological pathways. Links have also been established with the IUPHAR Guide to Pharmacology. A new service has been set up to allow the submission of identified substrate cleavages so that conservation of the cleavage site can be assessed. This should help establish whether or not a cleavage site is physiologically relevant on the basis that such a cleavage site is likely to be conserved.
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                Author and article information

                Contributors
                Journal
                Gigascience
                Gigascience
                gigascience
                GigaScience
                Oxford University Press
                2047-217X
                July 2020
                20 July 2020
                20 July 2020
                : 9
                : 7
                : giaa073
                Affiliations
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                The McDonnell Genome Institute at Washington University, School of Medicine , 4444 Forest Park Ave, St. Louis, MO 63108, USA
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                Department of Environmental Health Sciences, Kochi Medical School , Kohasu, Oko-cho 185-1, Nankoku, Kochi, 783-8505, Japan
                Laboratory of Helminthology, Department of Parasitology, National Institute of Infectious Diseases , 1-23-1 Toyama, Shinjuku-ku, Tokyo 162-8640, Japan
                Department of Immunology, Institute of Biotechnology, Vietnam Academy of Science and Technology , 18 Hoang Quoc Viet, Cay Giay, Ha Noi 10307, Vietnam
                Institute of Ecology and Biological Resources, Vietnam Academy of Science and Technology , 18 Hoang Quoc Viet, Cay Giay, Ha Noi 10307, Vietnam
                Graduate University of Science and Technology, Vietnam Academy of Science and Technology , 18 Hoang Quoc Viet, Cay Giay, Ha Noi 10307, Vietnam
                Research and Diagnostic Center for Emerging Infectious Diseases, Khon Kaen University , 123 Moo 16 Mittraphap Rd., Nai-Muang, Muang District, Khon Kaen 40002, Thailand
                Department of Parasitology, Faculty of Medicine, Khon Kaen University , 123 Moo 16 Mittraphap Rd., Nai-Muang, Muang District, Khon Kaen 40002, Thailand
                College of Marine and Environmental Sciences, James Cook University , 1 James Cook Drive, Townsville, Queensland 4811, Australia
                Departments of Microbiology, Immunology and Tropical Medicine, and Research Center for Neglected Diseases of Poverty, and Pathology School of Medicine & Health Sciences, George Washington University , Ross Hall 2300 Eye Street, NW, Washington, DC 20037, USA
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                Department of Internal Medicine, Washington University School of Medicine , 660 S Euclid Ave, St. Louis, MO 63110, USA
                The McDonnell Genome Institute at Washington University, School of Medicine , 4444 Forest Park Ave, St. Louis, MO 63108, USA
                Author notes
                Correspondence address. Makedonka Mitreva, Department of Internal Medicine, Washington University School of Medicine, 660 S Euclid Ave, St. Louis, MO 63110, USA. E-mail: mmitreva@ 123456wustl.edu

                Authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0002-6820-446X
                http://orcid.org/0000-0001-9572-3436
                Article
                giaa073
                10.1093/gigascience/giaa073
                7370270
                32687148
                0e8c20b1-87b3-4a43-bdbd-834f1146dc6b
                © The Author(s) 2020. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 27 November 2019
                : 19 March 2020
                : 16 June 2020
                Page count
                Pages: 16
                Funding
                Funded by: National Institutes of Health, DOI 10.13039/100000002;
                Award ID: U54HG003079
                Funded by: Thailand Research Fund, DOI 10.13039/501100004396;
                Award ID: DPG6280002
                Categories
                Research
                AcademicSubjects/SCI00960
                AcademicSubjects/SCI02254

                lung flukes,paragonimus,genomics,transcriptomics,diagnostics,paragonimiasis,infectious disease,trematodes

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