Six new reference-quality bat genomes illuminate the molecular basis and 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), Mark S. Springer(University of California, Riverside), 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)
bioRxiv (Cold Spring Harbor Laboratory)
November 9, 2019
Cited by 17Open Access
Full Text

Abstract

Abstract Bats account for ~20% of all extant mammal species and are considered exceptional given their extraordinary adaptations, including biosonar, true flight, extreme longevity, and unparalleled immune systems. To understand these adaptations, we generated reference-quality genomes of six species representing the key divergent lineages. We assembled these genomes with a novel pipeline incorporating state-of-the-art long-read and long-range sequencing and assembly techniques. The genomes were annotated using a maximal evidence approach, de novo predictions, protein/mRNA alignments, Iso-seq long read and RNA-seq short read transcripts, and gene projections from our new TOGA pipeline, retrieving virtually all (>99%) mammalian BUSCO genes. Phylogenetic analyses of 12,931 protein coding-genes and 10,857 conserved non-coding elements identified across 48 mammalian genomes helped to resolve bats’ closest extant relatives within Laurasiatheria, supporting a basal position for bats within Scrotifera. Genome-wide screens along the bat ancestral branch revealed (a) selection on hearing-involved genes (e.g LRP2, SERPINB6, TJP2) , which suggest that laryngeal echolocation is a shared ancestral trait of bats; (b) selection (e.g INAVA, CXCL13, NPSR1 ) and loss of immunity related proteins (e.g. LRRC70, IL36G ), including pro-inflammatory NF-kB signalling; and (c) expansion of the APOBEC family, associated with restricting viral infection, transposon activity and interferon signalling. We also identified unique integrated viruses, indicating that bats have a history of tolerating viral pathogens, lethal to other mammal species. Non-coding RNA analyses identified variant and novel microRNAs, revealing regulatory relationships that may contribute to phenotypic diversity in bats. Together, our reference-quality genomes, high-quality annotations, genome-wide screens and in-vitro tests revealed previously unknown genomic adaptations in bats that may explain their extraordinary traits.


Related Papers

No related papers found

Powered by citation graph analysis