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Longitudinal gut microbiome dynamics in relation to age and senescence in a wild animal population.

Sarah F WorsleyCharli S DaviesChuen Zhang LeeMaria-Elena MannarelliTerrence A BurkeJan KomdeurHannah L DugdaleDavid S Richardson
Published in: Molecular ecology (2024)
In humans, gut microbiome (GM) differences are often correlated with, and sometimes causally implicated in, ageing. However, it is unclear how these findings translate in wild animal populations. Studies that investigate how GM dynamics change within individuals, and with declines in physiological condition, are needed to fully understand links between chronological age, senescence and the GM, but have rarely been done. Here, we use longitudinal data collected from a closed population of Seychelles warblers (Acrocephalus sechellensis) to investigate how bacterial GM alpha diversity, composition and stability are associated with host senescence. We hypothesised that GM diversity and composition will differ, and become more variable, in older adults, particularly in the terminal year prior to death, as the GM becomes increasingly dysregulated due to senescence. However, GM alpha diversity and composition remained largely invariable with respect to adult age and did not differ in an individual's terminal year. Furthermore, there was no evidence that the GM became more heterogenous in senescent age groups (individuals older than 6 years), or in the terminal year. Instead, environmental variables such as season, territory quality and time of day, were the strongest predictors of GM variation in adult Seychelles warblers. These results contrast with studies on humans, captive animal populations and some (but not all) studies on non-human primates, suggesting that GM deterioration may not be a universal hallmark of senescence in wild animal species. Further work is needed to disentangle the factors driving variation in GM-senescence relationships across different host taxa.
Keyphrases
  • endothelial cells
  • dna damage
  • stress induced
  • physical activity
  • magnetic resonance
  • magnetic resonance imaging
  • electronic health record
  • big data
  • data analysis
  • human health
  • middle aged