The Greenland shark genome: Insights into lifespan extremes and population dynamics
Abstract
The Greenland shark ( Somniosus microcephalus ) is known for its slow metabolism and deep-sea habitat. It is thought to be the longest-lived vertebrate on Earth, with an estimated lifespan of 392 ± 120 y. Despite its remarkable longevity and unusual lifestyle, no genomic studies are yet available for this species. Here, we report a chromosome-level assembly of the Greenland shark genome, which is 5.9 Gb in size with an N50 length of 233 Mb and a completeness score of 96.7%. Our analyses of gene family expansion and positive selection revealed classical longevity-related mechanisms, including immune enhancement, cancer resistance, and DNA repair, as well as additional features potentially associated with extended lifespan limits. Unique amino acid substitutions in the globular domain of linker histone H1.0 are predicted to enhance chromatin stability, and the species’ distinctive gene repertoire provides a framework for generating hypotheses potentially linking ferroptosis to exceptional longevity. We also elucidate the dynamics of the effective population size ( N e ) of the Greenland shark and its close relative, the Pacific sleeper shark ( Somniosus pacificus ). These genomic analyses offer insights into the molecular basis of the exceptional longevity of the Greenland shark and highlight potential genetic mechanisms that could inform future research into longevity.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (13)
Kaiqiao Yang
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Kazuya Nishiwaki
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Hideaki Mizobata
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Jiancheng Liang
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Shuichi Asakawa
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo
Kazutoshi Yoshitake
Department of Applied Biochemistry, School of Marine Science, Kitasato University
Yuuki Y. Watanabe
Department of Polar Science, Research Center for Integrative Evolutionary Science, SOKENDAI (The Graduate University for Advanced Studies)
Nigel E. Hussey
Department of Integrative Biology, University of Windsor
Kit M. Kovacs
Research Department, Norwegian Polar Institute, Framsenteret
Christian Lydersen
Research Department, Norwegian Polar Institute, Framsenteret
Mitsutaka Kadota
Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research
Shigehiro Kuraku
Department of Genetics, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies)
Shigeharu Kinoshita
Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo