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Six reference-quality genomes reveal evolution of bat adaptations.
Jebb, David; Huang, Zixia; Pippel, Martin; Hughes, Graham M; Lavrichenko, Ksenia; Devanna, Paolo; Winkler, Sylke; Jermiin, Lars S; Skirmuntt, Emilia C; Katzourakis, Aris; Burkitt-Gray, Lucy; Ray, David A; Sullivan, Kevin A M; Roscito, Juliana G; Kirilenko, Bogdan M; Dávalos, Liliana M; Corthals, Angelique P; Power, Megan L; Jones, Gareth; Ransome, Roger D; Dechmann, Dina K N; Locatelli, Andrea G; Puechmaille, Sébastien J; Fedrigo, Olivier; Jarvis, Erich D; Hiller, Michael; Vernes, Sonja C; Myers, Eugene W; Teeling, Emma C.
Affiliation
  • Jebb D; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Huang Z; Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.
  • Pippel M; Center for Systems Biology Dresden, Dresden, Germany.
  • Hughes GM; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
  • Lavrichenko K; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Devanna P; Center for Systems Biology Dresden, Dresden, Germany.
  • Winkler S; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
  • Jermiin LS; Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
  • Skirmuntt EC; Neurogenetics of Vocal Communication Group, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
  • Katzourakis A; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Burkitt-Gray L; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
  • Ray DA; Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
  • Sullivan KAM; Earth Institute, University College Dublin, Dublin, Ireland.
  • Roscito JG; Peter Medawar Building for Pathogen Research, Department of Zoology, University of Oxford, Oxford, UK.
  • Kirilenko BM; Peter Medawar Building for Pathogen Research, Department of Zoology, University of Oxford, Oxford, UK.
  • Dávalos LM; Conway Institute of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland.
  • Corthals AP; Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
  • Power ML; Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA.
  • Jones G; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Ransome RD; Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.
  • Dechmann DKN; Center for Systems Biology Dresden, Dresden, Germany.
  • Locatelli AG; Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.
  • Puechmaille SJ; Max Planck Institute for the Physics of Complex Systems, Dresden, Germany.
  • Fedrigo O; Center for Systems Biology Dresden, Dresden, Germany.
  • Jarvis ED; Department of Ecology and Evolution, Stony Brook University, Stony Brook, NY, USA.
  • Hiller M; Consortium for Inter-Disciplinary Environmental Research, Stony Brook University, Stony Brook, NY, USA.
  • Vernes SC; Department of Sciences, John Jay College of Criminal Justice, New York, NY, USA.
  • Myers EW; School of Biology and Environmental Science, University College Dublin, Dublin, Ireland.
  • Teeling EC; School of Biological Sciences, University of Bristol, Bristol, UK.
Nature ; 583(7817): 578-584, 2020 07.
Article in En | MEDLINE | ID: mdl-32699395
ABSTRACT
Bats possess extraordinary adaptations, including flight, echolocation, extreme longevity and unique immunity. High-quality genomes are crucial for understanding the molecular basis and evolution of these traits. Here we incorporated long-read sequencing and state-of-the-art scaffolding protocols1 to generate, to our knowledge, the first reference-quality genomes of six bat species (Rhinolophus ferrumequinum, Rousettus aegyptiacus, Phyllostomus discolor, Myotis myotis, Pipistrellus kuhlii and Molossus molossus). We integrated gene projections from our 'Tool to infer Orthologs from Genome Alignments' (TOGA) software with de novo and homology gene predictions as well as short- and long-read transcriptomics to generate highly complete gene annotations. To resolve the phylogenetic position of bats within Laurasiatheria, we applied several phylogenetic methods to comprehensive sets of orthologous protein-coding and noncoding regions of the genome, and identified a basal origin for bats within Scrotifera. Our genome-wide screens revealed positive selection on hearing-related genes in the ancestral branch of bats, which is indicative of laryngeal echolocation being an ancestral trait in this clade. We found selection and loss of immunity-related genes (including pro-inflammatory NF-κB regulators) and expansions of anti-viral APOBEC3 genes, which highlights molecular mechanisms that may contribute to the exceptional immunity of bats. Genomic integrations of diverse viruses provide a genomic record of historical tolerance to viral infection in bats. Finally, we found and experimentally validated bat-specific variation in microRNAs, which may regulate bat-specific gene-expression programs. Our reference-quality bat genomes provide the resources required to uncover and validate the genomic basis of adaptations of bats, and stimulate new avenues of research that are directly relevant to human health and disease1.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adaptation, Physiological / Chiroptera / Genome / Evolution, Molecular / Genomics Type of study: Prognostic_studies Limits: Animals Language: En Journal: Nature Year: 2020 Type: Article Affiliation country: Germany

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adaptation, Physiological / Chiroptera / Genome / Evolution, Molecular / Genomics Type of study: Prognostic_studies Limits: Animals Language: En Journal: Nature Year: 2020 Type: Article Affiliation country: Germany