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      A Dipteran’s Novel Sucker Punch: Evolution of Arthropod Atypical Venom with a Neurotoxic Component in Robber Flies (Asilidae, Diptera)

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          Abstract

          Predatory robber flies (Diptera, Asilidae) have been suspected to be venomous due to their ability to overpower well-defended prey. However, details of their venom composition and toxin arsenal remained unknown. Here, we provide a detailed characterization of the venom system of robber flies through the application of comparative transcriptomics, proteomics and functional morphology. Our results reveal asilid venoms to be dominated by peptides and non-enzymatic proteins, and that the majority of components in the crude venom is represented by just ten toxin families, which we have named Asilidin1–10. Contrary to what might be expected for a liquid-feeding predator, the venoms of robber flies appear to be rich in novel peptides, rather than enzymes with a putative pre-digestive role. The novelty of these peptides suggests that the robber fly venom system evolved independently from hematophagous dipterans and other pancrustaceans. Indeed, six Asilidins match no other venom proteins, while three represent known examples of peptide scaffolds convergently recruited to a toxic function. Of these, members of Asilidin1 closely resemble cysteine inhibitor knot peptides (ICK), of which neurotoxic variants occur in cone snails, assassin bugs, scorpions and spiders. Synthesis of one of these putative ICKs, U-Asilidin 1-Mar1a, followed by toxicity assays against an ecologically relevant prey model revealed that one of these likely plays a role as a neurotoxin involved in the immobilization of prey. Our results are fundamental to address these insights further and to understand processes that drive venom evolution in dipterans as well as other arthropods.

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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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            Trinity: reconstructing a full-length transcriptome without a genome from RNA-Seq data

            Massively-parallel cDNA sequencing has opened the way to deep and efficient probing of transcriptomes. Current approaches for transcript reconstruction from such data often rely on aligning reads to a reference genome, and are thus unsuitable for samples with a partial or missing reference genome. Here, we present the Trinity methodology for de novo full-length transcriptome reconstruction, and evaluate it on samples from fission yeast, mouse, and whitefly – an insect whose genome has not yet been sequenced. Trinity fully reconstructs a large fraction of the transcripts present in the data, also reporting alternative splice isoforms and transcripts from recently duplicated genes. In all cases, Trinity performs better than other available de novo transcriptome assembly programs, and its sensitivity is comparable to methods relying on genome alignments. Our approach provides a unified and general solution for transcriptome reconstruction in any sample, especially in the complete absence of a reference genome.
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              Near-optimal probabilistic RNA-seq quantification.

              We present kallisto, an RNA-seq quantification program that is two orders of magnitude faster than previous approaches and achieves similar accuracy. Kallisto pseudoaligns reads to a reference, producing a list of transcripts that are compatible with each read while avoiding alignment of individual bases. We use kallisto to analyze 30 million unaligned paired-end RNA-seq reads in <10 min on a standard laptop computer. This removes a major computational bottleneck in RNA-seq analysis.
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                Author and article information

                Journal
                Toxins (Basel)
                Toxins (Basel)
                toxins
                Toxins
                MDPI
                2072-6651
                05 January 2018
                January 2018
                : 10
                : 1
                : 29
                Affiliations
                [1 ]Institute for Biology, University of Leipzig, Talstr. 33, 04103 Leipzig, Germany
                [2 ]Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, 24306 Plön, Germany; fuhrmann@ 123456evolbio.mpg.de
                [3 ]Centre for Advanced Imaging, The University of Queensland, St. Lucia, Brisbane, QLD 4072, Australia; e.undheim@ 123456uq.edu.au
                [4 ]Institute for Zoology, Biocenter, University of Cologne, Zuelpicher Str. 47b, 50674 Cologne, Germany; a.blanke@ 123456uni-koeln.de
                [5 ]Medical and Biological Engineering Research Group, School of Engineering and Computer Science, University of Hull, Hull HU6 7RX, UK
                [6 ]Institute for Biomolecules Max Mousseron, UMR 5247, University of Montpellier—CNRS, Place Eugène Bataillon, 34095 Montpellier CEDEX 5, France; julien.giribaldi@ 123456umontpellier.fr (J.G.); rosanna.mary@ 123456umontpellier.fr (R.M.); guillaume.laconde@ 123456umontpellier.fr (G.L.); sebastien.dutertre@ 123456umontpellier.fr (S.D.)
                [7 ]Department of Life Sciences, Natural History Museum, Cromwell Rd, London SW7 5BD, UK
                Author notes
                [* ]Correspondence: stephan.drukewitz@ 123456uni-leipzig.de (S.H.D.); bmvr@ 123456arcor.de (B.M.v.R.); Tel.: +49-034-1973-6726 (S.H.D.); +49-034-1973-6742 (B.M.v.R.)
                Author information
                https://orcid.org/0000-0002-4273-3080
                Article
                toxins-10-00029
                10.3390/toxins10010029
                5793116
                29303983
                96d8e393-b4b5-490e-ae1e-c65386f589e6
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 04 December 2017
                : 27 December 2017
                Categories
                Article

                Molecular medicine
                asilidae,neurotoxins,cysteine inhibitor knot peptide,arthropod venom evolution,functional morphology,synchrotron micro computed tomography,asilidin,this study provides the first comprehensive description of the venom system of two robber flies (asilidae). we reveal a complex venom apparatus and an unusual, enzyme depleted venom with unique proteins, including also a new, neurotoxic ick peptide.

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