4.7 Article

Lifelong leukocyte telomere dynamics and survival in a free-living mammal

期刊

AGING CELL
卷 15, 期 1, 页码 140-148

出版社

WILEY
DOI: 10.1111/acel.12417

关键词

early-life environment; longitudinal; mortality; natural selection; Soay sheep; telomere length

资金

  1. BBSRC [BB/H021868/1, BB/L020769/1]
  2. Wellcome Trust
  3. NERC
  4. BBSRC [BB/L020769/1, BB/H021868/1] Funding Source: UKRI
  5. NERC [NE/G004854/1, NE/M003035/1] Funding Source: UKRI
  6. Biotechnology and Biological Sciences Research Council [BB/H021868/1, BB/L020769/1] Funding Source: researchfish
  7. Natural Environment Research Council [NE/M003035/1, NE/G004854/1] Funding Source: researchfish

向作者/读者索取更多资源

Telomeres play a fundamental role in the maintenance of genomic integrity at a cellular level, and average leukocyte telomere length (LTL) has been proposed as a biomarker of organismal aging. However, studies tracking LTL across the entire life course of individuals are lacking. Here, we examined lifelong patterns of variation in LTL among four birth cohorts of female Soay sheep (Ovis aries) that were longitudinally monitored and sampled from birth to death. Over the first 4 months of life, there was within-individual loss of LTL, consistent with findings in the human and primate literature, but there was little evidence of consistent LTL loss associated with age after this point. Overall, we observed only weak evidence of individual consistency in LTL across years and over the entire lifespan: Within-individual variation was considerable, and birth cohorts differed markedly in their telomere dynamics. Despite the high levels of LTL variation within the lifetimes of individuals, there remained significant associations between LTL and longevity. Detailed analysis of the longitudinal data set showed that this association was driven by improved survival of individuals with longer LTL over the first 2 years of life. There was no evidence that LTL predicted survival in later adulthood. Our data provide the first evidence from a mammal that LTL can predict mortality and lifespan under natural conditions, and also highlight the potentially dynamic nature of LTL within the lifetimes of individuals experiencing a complex and highly variable environment.

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