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      Eudiplozoon nipponicum (Monogenea, Diplozoidae) and its adaptation to haematophagy as revealed by transcriptome and secretome profiling

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          Abstract

          Background

          Ectoparasites from the family Diplozoidae (Platyhelminthes, Monogenea) belong to obligate haematophagous helminths of cyprinid fish. Current knowledge of these worms is for the most part limited to their morphological, phylogenetic, and population features. Information concerning the biochemical and molecular nature of physiological processes involved in host–parasite interaction, such as evasion of the immune system and its regulation, digestion of macromolecules, suppression of blood coagulation and inflammation, and effect on host tissue and physiology, is lacking. In this study, we report for the first time a comprehensive transcriptomic/secretome description of expressed genes and proteins secreted by the adult stage of Eudiplozoon nipponicum (Goto, 1891) Khotenovsky, 1985, an obligate sanguivorous monogenean which parasitises the gills of the common carp ( Cyprinus carpio).

          Results

          RNA-seq raw reads (324,941 Roche 454 and 149,697,864 Illumina) were generated, de novo assembled, and filtered into 37,062 protein-coding transcripts. For 19,644 (53.0%) of them, we determined their sequential homologues. In silico functional analysis of E. nipponicum RNA-seq data revealed numerous transcripts, pathways, and GO terms responsible for immunomodulation (inhibitors of proteolytic enzymes, CD59-like proteins, fatty acid binding proteins), feeding (proteolytic enzymes cathepsins B, D, L1, and L3), and development (fructose 1,6-bisphosphatase, ferritin, and annexin). LC-MS/MS spectrometry analysis identified 721 proteins secreted by E. nipponicum with predominantly immunomodulatory and anti-inflammatory functions (peptidyl-prolyl cis-trans isomerase, homolog to SmKK7, tetraspanin) and ability to digest host macromolecules (cathepsins B, D, L1).

          Conclusions

          In this study, we integrated two high-throughput sequencing techniques, mass spectrometry analysis, and comprehensive bioinformatics approach in order to arrive at the first comprehensive description of monogenean transcriptome and secretome. Exploration of E. nipponicum transcriptome-related nucleotide sequences and translated and secreted proteins offer a better understanding of molecular biology and biochemistry of these, often neglected, organisms. It enabled us to report the essential physiological pathways and protein molecules involved in their interactions with the fish hosts.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12864-021-07589-z.

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          Most cited references94

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              Basic local alignment search tool.

              A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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                Author and article information

                Contributors
                vorel@mail.muni.cz
                krystyna.cwiklinski@nuigalway.ie
                p.roudnicky@mail.muni.cz
                ilgova@mail.muni.cz
                lucka.jedlickova@seznam.cz
                johnpius.dalton@nuigalway.ie
                mikes@natur.cuni.cz
                gelnar@sci.muni.cz
                martin.kasny@natur.cuni.cz
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                15 April 2021
                15 April 2021
                2021
                : 22
                : 274
                Affiliations
                [1 ]GRID grid.10267.32, ISNI 0000 0001 2194 0956, Department of Botany and Zoology, Faculty of Science, , Masaryk University, ; Kotlářská 2, 611 37 Brno, Czech Republic
                [2 ]GRID grid.6142.1, ISNI 0000 0004 0488 0789, Molecular Parasitology Laboratory, Centre for One Health, Ryan Institute, , National University of Ireland Galway, ; Galway, Ireland
                [3 ]GRID grid.497421.d, Central European Institute of Technology, Masaryk University, ; Kamenice 5, 625 00 Brno, Czech Republic
                [4 ]GRID grid.4491.8, ISNI 0000 0004 1937 116X, Department of Parasitology, Faculty of Science, , Charles University, ; Viničná 7, 128 44 Prague, Czech Republic
                [5 ]GRID grid.15866.3c, ISNI 0000 0001 2238 631X, Department of Zoology and Fisheries, Centre of Infectious Animal Diseases, Faculty of Agrobiology, Food and Natural Resources, , Czech University of Life Sciences Prague, ; Kamýcká 129, 165 00 Prague, Czech Republic
                Author information
                https://orcid.org/0000-0001-9106-6440
                https://orcid.org/0000-0001-5577-2735
                https://orcid.org/0000-0002-6904-7646
                https://orcid.org/0000-0002-1811-9224
                https://orcid.org/0000-0002-2440-6641
                https://orcid.org/0000-0003-0231-9974
                Article
                7589
                10.1186/s12864-021-07589-z
                8050918
                33858339
                9b570a7a-ecba-4d13-8660-1a9562bf22ed
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 January 2021
                : 5 April 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Genetics
                eudiplozoon nipponicum,monogenea,ngs,transcriptome,assembly,annotation,secretome,mass spectrometry
                Genetics
                eudiplozoon nipponicum, monogenea, ngs, transcriptome, assembly, annotation, secretome, mass spectrometry

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