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      Genomic Features of the Damselfly Calopteryx splendens Representing a Sister Clade to Most Insect Orders

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          Abstract

          Insects comprise the most diverse and successful animal group with over one million described species that are found in almost every terrestrial and limnic habitat, with many being used as important models in genetics, ecology, and evolutionary research. Genome sequencing projects have greatly expanded the sampling of species from many insect orders, but genomic resources for species of certain insect lineages have remained relatively limited to date. To address this paucity, we sequenced the genome of the banded demoiselle, Calopteryx splendens, a damselfly (Odonata: Zygoptera) belonging to Palaeoptera, the clade containing the first winged insects. The 1.6 Gbp C. splendens draft genome assembly is one of the largest insect genomes sequenced to date and encodes a predicted set of 22,523 protein-coding genes. Comparative genomic analyses with other sequenced insects identified a relatively small repertoire of C. splendens detoxification genes, which could explain its previously noted sensitivity to habitat pollution. Intriguingly, this repertoire includes a cytochrome P450 gene not previously described in any insect genome. The C. splendens immune gene repertoire appears relatively complete and features several genes encoding novel multi-domain peptidoglycan recognition proteins. Analysis of chemosensory genes revealed the presence of both gustatory and ionotropic receptors, as well as the insect odorant receptor coreceptor gene ( OrCo) and at least four partner odorant receptors ( ORs). This represents the oldest known instance of a complete OrCo/OR system in insects, and provides the molecular underpinning for odonate olfaction. The C. splendens genome improves the sampling of insect lineages that diverged before the radiation of Holometabola and offers new opportunities for molecular-level evolutionary, ecological, and behavioral studies.

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          Crystal structure of rhodopsin: A G protein-coupled receptor.

          Heterotrimeric guanine nucleotide-binding protein (G protein)-coupled receptors (GPCRs) respond to a variety of different external stimuli and activate G proteins. GPCRs share many structural features, including a bundle of seven transmembrane alpha helices connected by six loops of varying lengths. We determined the structure of rhodopsin from diffraction data extending to 2.8 angstroms resolution. The highly organized structure in the extracellular region, including a conserved disulfide bridge, forms a basis for the arrangement of the seven-helix transmembrane motif. The ground-state chromophore, 11-cis-retinal, holds the transmembrane region of the protein in the inactive conformation. Interactions of the chromophore with a cluster of key residues determine the wavelength of the maximum absorption. Changes in these interactions among rhodopsins facilitate color discrimination. Identification of a set of residues that mediate interactions between the transmembrane helices and the cytoplasmic surface, where G-protein activation occurs, also suggests a possible structural change upon photoactivation.
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            Molecular mechanisms of metabolic resistance to synthetic and natural xenobiotics.

            Xenobiotic resistance in insects has evolved predominantly by increasing the metabolic capability of detoxificative systems and/or reducing xenobiotic target site sensitivity. In contrast to the limited range of nucleotide changes that lead to target site insensitivity, many molecular mechanisms lead to enhancements in xenobiotic metabolism. The genomic changes that lead to amplification, overexpression, and coding sequence variation in the three major groups of genes encoding metabolic enzymes, i.e., cytochrome P450 monooxygenases (P450s), esterases, and glutathione-S-transferases (GSTs), are the focus of this review. A substantial number of the adaptive genomic changes associated with insecticide resistance that have been characterized to date are transposon mediated. Several lines of evidence suggest that P450 genes involved in insecticide resistance, and perhaps insecticide detoxification genes in general, may share an evolutionary association with genes involved in allelochemical metabolism. Differences in the selective regime imposed by allelochemicals and insecticides may account for the relative importance of regulatory or structural mutations in conferring resistance.
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              Evolutionary dynamics of immune-related genes and pathways in disease-vector mosquitoes.

              Mosquitoes are vectors of parasitic and viral diseases of immense importance for public health. The acquisition of the genome sequence of the yellow fever and Dengue vector, Aedes aegypti (Aa), has enabled a comparative phylogenomic analysis of the insect immune repertoire: in Aa, the malaria vector Anopheles gambiae (Ag), and the fruit fly Drosophila melanogaster (Dm). Analysis of immune signaling pathways and response modules reveals both conservative and rapidly evolving features associated with different functional gene categories and particular aspects of immune reactions. These dynamics reflect in part continuous readjustment between accommodation and rejection of pathogens and suggest how innate immunity may have evolved.
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                Author and article information

                Journal
                Genome Biol Evol
                Genome Biol Evol
                gbe
                Genome Biology and Evolution
                Oxford University Press
                1759-6653
                February 2017
                30 January 2017
                30 January 2017
                : 9
                : 2
                : 415-430
                Affiliations
                [1 ]Department of Genetic Medicine and Development, University of Geneva Medical School, Geneva, Switzerland
                [2 ]Swiss Institute of Bioinformatics, Geneva, Switzerland
                [3 ]Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL
                [4 ]Center for Molecular Biodiversity Research, Zoological Research Museum Alexander Koenig, Bonn, Germany
                Author notes

                Associate editor: John McCutcheon

                Data deposition: This Whole Genome Shotgun project has been deposited at DDBJ/ENA/GenBank under the accession LYUA00000000. The version described in this paper is version LYUA01000000. The raw reads are deposited in the NCBI short-read archive (SRA), under accession numbers SRP075442. The genome sequence (scaffolds), the predicted gene set, the multiple sequence alignments used in this study, and the curated chemoreceptor genes are available at cegg.unige.ch/calopteryx.

                [†]

                These authors contributed equally to this work and are co-first authors.

                [* ]Corresponding author: E-mail: evgeny.zdobnov@ 123456unige.ch .
                Article
                evx006
                10.1093/gbe/evx006
                5381652
                28137743
                5df8c04b-0b49-41e3-9e85-498e22d427b2
                © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution.

                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
                : 19 January 2017
                Page count
                Pages: 16
                Funding
                Funded by: Swiss National Science Foundation grant
                Award ID: 31003A_143936
                Categories
                Research Article

                Genetics
                winged insect,banded demoiselle,damselfly,palaeoptera,odonata,whole genome sequencing
                Genetics
                winged insect, banded demoiselle, damselfly, palaeoptera, odonata, whole genome sequencing

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