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1. Presence of Recombinant Bat Coronavirus GCCDC1 in Cambodian Bats

Author

Feng Zhu, Veasna Duong, Xiao Fang Lim, Vibol Hul, Tanu Chawla, Lucy Keatts, Tracey Goldstein, Alexandre Hassanin, Vuong Tan Tu, Philippe Buchy, October M. Sessions, Lin-Fa Wang, Philippe Dussart, Danielle E. Anderson, Duke-NUS Medical School [Singapore], Institut Pasteur du Cambodge, Réseau International des Instituts Pasteur (RIIP), Unité des Virus Emergents (UVE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Wildlife Conservation Society (WCS), University of California [Davis] (UC Davis), University of California (UC), Institut de Systématique, Evolution, Biodiversité (ISYEB ), Muséum national d'Histoire naturelle (MNHN)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Vietnam Academy of Science and Technology (VAST), University of Melbourne, and DEA and L-FW were supported by Grants NRF2012NRFCRP001-056 and NRF2016NRF-NSFC002-013 from the Singapore National Research Foundation. This study was made possible by the generous support of the American people through the United States Agency for International Development (USAID) Emerging Pandemic Threats PREDICT project (cooperative agreement number GHN-A-OO-09-00010-00 and AID-OAA-A-14-00102). The contents of this paper are the responsibility of the authors and do not necessarily reflect the views of the US Agency for International Development or the US Government. The fieldwork was supported in part by the National Authority for Preah Vihear, UNESCO, 'Société des amis du Muséum et du Jardin des Plantes', and the Muséum national d’Histoire naturelle.

Subjects
Recombination, Genetic, China, Coronaviridae, Coronaviridae Infections, [SDV]Life Sciences [q-bio], viruses, bats, coronavirus, virus diseases, cross-species transmission, Genome, Viral, zoonosis, recombination, respiratory tract diseases, Evolution, Molecular, Phylogeography, co-infection, Infectious Diseases, Chiroptera, Virology, Animals, GCCDC1, Cambodia, Phylogeny, Disease Reservoirs
Abstract

International audience; Bats have been recognized as an exceptional viral reservoir, especially for coronaviruses. At least three bat zoonotic coronaviruses (SARS-CoV, MERS-CoV and SARS-CoV-2) have been shown to cause severe diseases in humans and it is expected more will emerge. One of the major features of CoVs is that they are all highly prone to recombination. An extreme example is the insertion of the P10 gene from reoviruses in the bat CoV GCCDC1, first discovered in Rousettus leschenaultii bats in China. Here, we report the detection of GCCDC1 in four different bat species (Eonycteris spelaea, Cynopterus sphinx, Rhinolophus shameli and Rousettus sp.) in Cambodia. This finding demonstrates a much broader geographic and bat species range for this virus and indicates common cross-species transmission. Interestingly, one of the bat samples showed a co-infection with an Alpha CoV most closely related to RsYN14, a virus recently discovered in the same genus (Rhinolophus) of bat in Yunnan, China, 2020. Taken together, our latest findings highlight the need to conduct active surveillance in bats to assess the risk of emerging CoVs, especially in Southeast Asia.

Published
2022

2. Genome-scale rates of evolutionary change in bacteria

Author

Jane Hawkey, David J. Edwards, Simon Le Hello, Kathryn E. Holt, Mathieu Fourment, Edward C. Holmes, François-Xavier Weill, Sebastián Duchêne, Marie Bashir Institute for Infectious Diseases and Biosecurity, The University of Sydney, Centre for Systems Genomics, The University of MelbourneParkville, VIC, Australia., Department of Biochemistry and Molecular Biology, Centre National de Référence - National Reference Center Escherichia coli, Shigella et Salmonella (CNR-ESS), Institut Pasteur [Paris] (IP), This research was funded by the NHMRC (Australia Fellowship#AF30 to E. C. H., Career Development Fellowship #1061409 toK. E. H.). S. D. was supported by a McKenzie fellowship from the University of Melbourne.This paper was supported by the following grant(s):National Health and Medical Research Council 1061409.National Health and Medical Research Council GNT1037231., and Institut Pasteur [Paris]

Subjects
0301 basic medicine, 0106 biological sciences, Mechanisms of Evolution, Evolutionary change, Genome scale, Bacterial genome size, phylogeny, Genome, 010603 evolutionary biology, 01 natural sciences, Orders of magnitude (bit rate), Evolution, Molecular, 03 medical and health sciences, Phylogenetics, evolution, Molecular clock, Evolutionary dynamics, 030304 developmental biology, Whole genome sequencing, Genetics, 0303 health sciences, biology, Bacteria, Models, Genetic, molecular clock, Genetic Variation, General Medicine, biology.organism_classification, Biological Evolution, 030104 developmental biology, Ancient DNA, 13. Climate action, Evolutionary biology, time-dependency, Microbial Evolution and Epidemiology, Mutation, Human genome, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, substitution rates, Genome, Bacterial, Research Paper
Abstract

Estimating the rates at which bacterial genomes evolve is critical to understanding major evolutionary and ecological processes such as disease emergence, long-term host-pathogen associations, and short-term transmission patterns. The surge in bacterial genomic data sets provides a new opportunity to estimate these rates and reveal the factors that shape bacterial evolutionary dynamics. For many organisms estimates of evolutionary rate display an inverse association with the time-scale over which the data are sampled. However, this relationship remains unexplored in bacteria due to the difficulty in estimating genome-wide evolutionary rates, which are impacted by the extent of temporal structure in the data and the prevalence of recombination. We collected 36 whole genome sequence data sets from 16 species of bacterial pathogens to systematically estimate and compare their evolutionary rates and assess the extent of temporal structure in the absence of recombination. The majority (28/36) of data sets possessed sufficient clock-like structure to robustly estimate evolutionary rates. However, in some species reliable estimates were not possible even with “ancient DNA” data sampled over many centuries, suggesting that they evolve very slowly or that they display extensive rate variation among lineages. The robustly estimated evolutionary rates spanned several orders of magnitude, from 10−6 to 10−8 nucleotide substitutions site-1 year-1. This variation was largely attributable to sampling time, which was strongly negatively associated with estimated evolutionary rates, with this relationship best described by an exponential decay curve. To avoid potential estimation biases such time-dependency should be considered when inferring evolutionary time-scales in bacteria.

Published
2016

3. The genome of Eucalyptus grandis

Author

Anand Raj Kumar Kullan, Erich Bornberg-Bauer, Christopher M. Sullivan, Florent Murat, Elisson Romanel, Yves Van de Peer, Aaron Liston, Priya Ranjan, Dorothy A. Steane, Justin Elser, Pooja Singh, Victor Carocha, Orzenil B. Silva-Junior, Marçal Soler, Cesar Petroli, Inna Dubchak, Jane Grimwood, Carsten Külheim, Danielle A. Faria, Ida Van Jaarsveld, Chu-Yu Ye, Giancarlo Pasquali, Charles A. Hefer, Desre Pinard, Roberto C. Togawa, Richard D. Hayes, Eshchar Mizrachi, Fourie Joubert, Erika Lindquist, Kevin Vanneste, Philippe Rigault, Jérôme Salse, Karen Van der Merwe, David Kudrna, Palitha Dharmwardhana, Gerald A. Tuskan, Diane Bauer, Alexandre Poliakov, Marcio Alves-Ferreira, Kerrie Barry, Vindhya Amarasinghe, Ting Li, William J. Foley, Georgios J. Pappas, Carolina Sansaloni, René E. Vaillancourt, Marília de Castro Rodrigues Pappas, Uffe Hellsten, Daniel S. Rokhsar, Martin Ranik, Anna R. Kersting, Alexander Andrew Myburg, Hua Cassan-Wang, David Goodstein, Christophe Dunand, Naijib Saidi, Timothy J. Tschaplinski, Sushma Naithani, Dario Grattapaglia, Pankaj Jaiswal, Steven G. Hussey, Jeremy Schmutz, Rajani Raja, Brad M. Potts, Margaret Byrne, Antanas V. Spokevicius, Jorge A. P. Paiva, Jacqueline Grima-Pettenati, Xiaohan Yang, Alexander Boyd, Hope Tice, Joseph W. Spatafora, Lieven Sterck, Jerry Jenkins, Steven H. Strauss, Sérgio Hermínio Brommonschenkel, Josquin Tibbits, Rebecca C. Jones, Kelly J. Vining, Hélène San Clemente, BioSciences Division [Oak Ridge], Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC-UT-Battelle, LLC, DOE Joint Genome Institute [Walnut Creek], Department of Epidemiology & Population Health, London School of Hygiene and Tropical Medicine (LSHTM), Department of Energy / Joint Genome Institute (DOE), Los Alamos National Laboratory (LANL), United States Department of Energy, US Department of Energy Joint Genome Institute, University of California, Embrapa Uva e Vinho (BRAZIL), Technicolor R & I [Cesson Sévigné], Technicolor, Department of Plant Systems Biology, State University of Ghent, Ghent University [Belgium] (UGENT), Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Laboratoire de Recherche en Sciences Végétales (LRSV), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institute for Evolution and Biodiversity (IEB), Westfälische Wilhelms-Universität Münster (WWU), Department of Botany and Plant Pathology, Oregon State University (OSU), RAIZ – Forestry & Paper Research Institut, Laboratory of Plant Cell Biotechnology, ITQB/IBET, Ecology and Evolutionary Biology [Tucson] (EEB), University of Arizona, GYDLE, Agriculture Victoria Research, Department of Economic Development, Jobs, Transport and Resources, AgriBio, Bioinformatics and Computational Biology Unit, Faculty of Natural and Agricultural Sciences-University of Pretoria [South Africa], Institute of Continuing Medical Education of Ioannina, Plastes et différenciation cellulaire (PDC), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS), Génétique Diversité et Ecophysiologie des Céréales - Clermont Auvergne (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Center for Plant Systems Biology (PSB Center), Vlaams Instituut voor Biotechnologie [Ghent, Belgique] (VIB), Universiteit Gent = Ghent University [Belgium] (UGENT), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Régulation et Dynamique de la Formation du Bois, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Dynamique et Evolution des Parois cellulaires végétales, Office of Science of the US Department of Energy [DE-AC02-05CH11231], Office of Biological and Environmental Research in the US Department of Energy Office of Science, US DOE Bioenergy Center [DE-AC05-00OR22725], Brazilian Ministry of Science, Technology and Innovation (MCTI) through (CNPq), Brazilian Ministry of Science, Technology and Innovation (MCTI) through (FINEP), Brazilian Federal District Research Foundation (FAP-DF), Technology and Human Resources for Industry Programme (THRIP) [UID 80118], South African Department of Science and Technology (DST), National Research Foundation (NRF) [UID 18312, 86936], Laboratoire d'Excellence [LABEX TULIP ANR-10-LABX-41], Agence Nationale pour la Recherche (Project Tree For Joules) [ANR-2010-KBBE-007-01], Fundacao para a Ciencia e Tecnologia (FCT) [P-KBBE/AGR_GPL/0001/2010], Centre National pour la Recherche Scientifique (CNRS), University Paul Sabatier Toulouse III (UPS), Ghent University, Hercules Foundation, Flemish Government-department EWI, Myburg, Alexander A., University of California (UC), Universiteit Gent = Ghent University (UGENT), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), and Westfälische Wilhelms-Universität Münster = University of Münster (WWU)

Subjects
Genome evolution, DATABASE, phylogénomique, [SDV]Life Sciences [q-bio], Biology, Genome, DNA sequencing, Evolution, Molecular, Phylogenomics, Myrtales, Botany, Inbreeding depression, TOOL, Inbreeding, RNA-SEQ, PLANT, NUCLEAR-DNA, Phylogeny, ComputingMilieux_MISCELLANEOUS, Eucalyptus, Multidisciplinary, FOREST TREES, Biology and Life Sciences, Genetic Variation, métabolisme secondaire, 15. Life on land, biology.organism_classification, GENE, EVOLUTION, ALIGNMENT, biocarburant, Biofuels, Eucalyptus globulus, évolution du génome, WHOLE-GENOME, Secondary metabolism, Genome, Plant
Abstract

International audience; Eucalypts are the world's most widely planted hardwood trees. Their outstanding diversity, adaptability and growth have made them a global renewable resource of fibre and energy. We sequenced and assembled >94% of the 640-megabase genome of Eucalyptus grandis. Of 36,376 predicted protein-coding genes, 34% occur in tandem duplications, the largest proportion thus far in plant genomes. Eucalyptus also shows the highest diversity of genes for specialized metabolites such as terpenes that act as chemical defence and provide unique pharmaceutical oils. Genome sequencing of the E. grandis sister species E. globulus and a set of inbred E. grandis tree genomes reveals dynamic genome evolution and hotspots of inbreeding depression. The E. grandis genome is the first reference for the eudicot order Myrtales and is placed here sister to the eurosids. This resource expands our understanding of the unique biology of large woody perennials and provides a powerful tool to accelerate comparative biology, breeding and biotechnology.

Published
2014

4. Mucin CYS domains are ancient and highly conserved modules that evolved in concert

Author

Jean-Luc Desseyn, Lille Inflammation Research International Center - U 995 (LIRIC), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Institut de médecine predictive et de recherche thérapeutique (IMPRT), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Centre Régional de Lutte contre le Cancer Oscar Lambret [Lille] (UNICANCER/Lille), Université Lille Nord de France (COMUE)-UNICANCER-Université Lille Nord de France (COMUE)-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université Lille 2 - Faculté de Médecine, The author gratefully acknowledges Dr. V. Gouyer (INSERM U795 and EA3925, Lille, France) and Pr. F. Gottrand (EA3925, University of Lille, France) for their critical comments. The author is indebted to Dr. P. Amieux (University of Washington, Seattle, WA) for help in improving the style of the paper., Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Lille-UNICANCER-Université de Lille-UNICANCER-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Faculté de Médecine Henri Warembourg - Université de Lille, and Lille Inflammation Research International Center - U 995 [LIRIC]

Subjects
MESH: Sequence Analysis, DNA, Animals, Conserved Sequence, Cysteine, Evolution, Molecular, Exons, Humans, Mucins, Phylogeny, Protein Interaction Domains and Motifs, Sequence Alignment, Sequence Analysis, DNA, [SDV]Life Sciences [q-bio], CYS domain, Genome, MUC5B, Exon, 0302 clinical medicine, Gel-forming mucin, MESH: Animals, MESH: Phylogeny, Genetics, 0303 health sciences, Concerted evolution, MESH: Conserved Sequence, Biochemistry, Coding repeats, MESH: Sequence Alignment, Biology, Evolution, Molecular, 03 medical and health sciences, MESH: Evolution, Molecular, MESH: Mucins/genetics, Amino acid residue, Molecular Biology, Gene, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, MESH: Protein Interaction Domains and Motifs, MESH: Humans, MESH: Mucins/metabolism, Mucin, Sequence Analysis, DNA, MUC5AC, MESH: Cysteine/genetics, Mucus, MUC2, MESH: Exons, 030217 neurology & neurosurgery, Function (biology)
Abstract

International audience; Background : Many large secreted gel-forming mucins contain multiple copies of a "naked" cysteine-enriched domain (CYS domain) that interrupt or are adjacent to mucin domains (Ser/Thr/Pro regions). There is less similarity of homologous CYS sequences between species than there is across CYS repeats within species. These CYS domains are likely implicated in reversible mucin-mucin interactions that play a central role in mucus properties. Results : The use of multiple genome sequences in a comparative analysis of CYS sequences identified new mucins containing the CYS domain in various species. Furthermore, analysis showed that this domain is at least 650 million-year old and that CYS sequences evolved under strong selective pressure in concerted fashion in all species examined by two mechanisms that never coexist within a given gene: either multiplication of exons encoding CYS modules or successive intra-exonic duplications. Conclusion : The CYS sequences appear to have undergone concerted evolution with a high selective pressure to conserve cysteine and other amino acid residues. This domain is the best-conserved domain in secreted mucins pointing toward an important common function in many different organisms.

Published
2008