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Sex-specific changes in autosomal methylation rate in ageing common terns
  • +11
  • Britta Meyer,
  • Maria Moiron,
  • Calvinna Caswara,
  • William Chow,
  • Olivier Fedrigo,
  • Giulio Formenti,
  • Bettina Haase,
  • Kerstin Howe,
  • Jacquelyn Mountcastle,
  • Marcela Uliano-Silva,
  • Jonathan Wood,
  • Erich Jarvis,
  • Miriam Liedvogel,
  • Sandra Bouwhuis
Britta Meyer
Max Planck Institute for Evolutionary Biology

Corresponding Author:bmeyer@evolbio.mpg.de

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Maria Moiron
Institute of Avian Research
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Calvinna Caswara
Berlin Center for Genomics in Biodiversity Research
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William Chow
Wellcome Sanger Institute
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Olivier Fedrigo
The Rockefeller University
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Giulio Formenti
The Rockefeller University
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Bettina Haase
The Rockefeller University
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Kerstin Howe
Wellcome Sanger Institute
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Jacquelyn Mountcastle
The Rockefeller University
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Marcela Uliano-Silva
Wellcome Sanger Institute
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Jonathan Wood
Wellcome Sanger Institute
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Erich Jarvis
The Rockefeller University
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Miriam Liedvogel
Max Planck Institute for Evolutionary Biology
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Sandra Bouwhuis
Institute of Avian Research
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Abstract

Senescence, an age-related decline in survival and/or reproductive performance, occurs in species across the tree of life. Molecular mechanisms underlying this within-individual phenomenon are still largely unknown, but DNA methylation changes with age are among the candidates. Using a longitudinal approach, we investigated age-specific changes in autosomal methylation of common terns, relatively long-lived migratory seabirds known to show senescence. We collected blood at 1-, 3- and/or 4-year intervals, extracted DNA from the erythrocytes and estimated autosomal DNA methylation by mapping Reduced Representative Bisulfite Sequencing reads to a new reference genome. We found autosomal methylation levels to decrease with age within females, but not males, and no evidence for selective (dis)appearance of birds of either sex in relation to their methylation level. Moreover, although we found positions in the genome to consistently differ in their methylation levels, individuals did not show such strong consistent differences. These results pave the way for studies at the level of genome features or specific positions, which should elucidate the functional consequences of the patterns we observe, and how they translate to the ageing phenotype.