The Greenland shark genome: Insights into lifespan extremes and population dynamics

K Kaiqiao Yang (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo) K Kazuya Nishiwaki (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo) H Hideaki Mizobata (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo) J Jiancheng Liang (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo) S Shuichi Asakawa (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo) K Kazutoshi Yoshitake (Department of Applied Biochemistry, School of Marine Science, Kitasato University) Y Yuuki Y. Watanabe (Department of Polar Science, Research Center for Integrative Evolutionary Science, SOKENDAI (The Graduate University for Advanced Studies)) N Nigel E. Hussey (Department of Integrative Biology, University of Windsor) K Kit M. Kovacs (Research Department, Norwegian Polar Institute, Framsenteret) C Christian Lydersen (Research Department, Norwegian Polar Institute, Framsenteret) M Mitsutaka Kadota (Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research) S Shigehiro Kuraku (Department of Genetics, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies)) S Shigeharu Kinoshita (Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo)

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

Volume / Issue Vol. 123, Issue 21
Published May 26, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (13)

K

Kaiqiao Yang

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo

K

Kazuya Nishiwaki

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo

H

Hideaki Mizobata

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo

J

Jiancheng Liang

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo

S

Shuichi Asakawa

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo

K

Kazutoshi Yoshitake

Department of Applied Biochemistry, School of Marine Science, Kitasato University

Y

Yuuki Y. Watanabe

Department of Polar Science, Research Center for Integrative Evolutionary Science, SOKENDAI (The Graduate University for Advanced Studies)

N

Nigel E. Hussey

Department of Integrative Biology, University of Windsor

K

Kit M. Kovacs

Research Department, Norwegian Polar Institute, Framsenteret

C

Christian Lydersen

Research Department, Norwegian Polar Institute, Framsenteret

M

Mitsutaka Kadota

Laboratory for Phyloinformatics, RIKEN Center for Biosystems Dynamics Research

S

Shigehiro Kuraku

Department of Genetics, School of Life Science, SOKENDAI (The Graduate University for Advanced Studies)

S

Shigeharu Kinoshita

Department of Aquatic Bioscience, Graduate School of Agricultural and Life Sciences, The University of Tokyo