Six reference-quality genomes reveal evolution of bat adaptations

David Jebb(Max Planck Institute for the Physics of Complex Systems), Zixia Huang(University College Dublin), Martin Pippel(Center for Systems Biology Dresden), Graham M. Hughes(University College Dublin), Ksenia Lavrichenko(Max Planck Institute for Psycholinguistics), Paolo Devanna(Max Planck Institute for Psycholinguistics), Sylke Winkler(Max Planck Institute of Molecular Cell Biology and Genetics), Lars S. Jermiin(University College Dublin), Emilia C. Skirmuntt(University of Oxford), Aris Katzourakis(University of Oxford), Lucy Burkitt-Gray(University College Dublin), David A. Ray(Texas Tech University), Kevin A. Sullivan(Texas Tech University), Juliana G. Roscito(Max Planck Institute for the Physics of Complex Systems), Bogdan Kirilenko(Max Planck Institute for the Physics of Complex Systems), Liliana M. Dávalos(Stony Brook University), Angélique Corthals(John Jay College of Criminal Justice), Megan L. Power(University College Dublin), Gareth Jones(University of Bristol), Roger D. Ransome(University of Bristol), Dina K. N. Dechmann(Smithsonian Tropical Research Institute), Andrea G. Locatelli(University College Dublin), Sébastien J. Puechmaille(Université de Montpellier), Olivier Fédrigo(Rockefeller University), Erich D. Jarvis(Howard Hughes Medical Institute), Michael Hiller(Max Planck Institute for the Physics of Complex Systems), Sonja C. Vernes(Radboud University Nijmegen), Eugene W. Myers(Center for Systems Biology Dresden), Emma C. Teeling(University College Dublin)
Nature
July 22, 2020
Cited by 378Open Access
Full Text

Abstract

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 protocols 1 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 disease 1 .


Related Papers