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Biomarkers of Animal Nutrition: From Seasonal to Lifetime Indicators of Environmental Conditions.

Rachel A SmileyTayler N LaSharrHeather N AbernathyYasaman N ShakeriRebecca L LevineSeth T RankinsRhiannon P JakopakRebekah T RaffertyJaron T KolekBrittany L WaglerSamantha P H DwinnellTimothy J RobinsonJill E RandallRusty C KaiserMark ThonhoffBrandon M ScurlockTroy FieselerGary L FralickKevin L Monteith
Published in: Life (Basel, Switzerland) (2022)
Nutrition underpins survival and reproduction in animal populations; reliable nutritional biomarkers are therefore requisites to understanding environmental drivers of population dynamics. Biomarkers vary in scope of inference and sensitivity, making it important to know what and when to measure to properly quantify biological responses. We evaluated the repeatability of three nutritional biomarkers in a large, iteroparous mammal to evaluate the level of intrinsic and extrinsic contributions to those traits. During a long-term, individual-based study in a highly variable environment, we measured body fat, body mass, and lean mass of mule deer ( Odocoileus hemionus ) each autumn and spring. Lean mass was the most repeatable biomarker (0.72 autumn; 0.61 spring), followed by body mass (0.64 autumn; 0.53 spring), and then body fat (0.22 autumn; 0.01 spring). High repeatability in body and lean mass likely reflects primary structural composition, which is conserved across seasons. Low repeatability of body fat supports that it is the primary labile source of energy that is largely a product of environmental contributions of the previous season. Based on the disparate levels in repeatability among nutritional biomarkers, we contend that body and lean mass are better indicators of nutritional legacies (e.g., maternal effects), whereas body fat is a direct and sensitive reflection of recent nutritional gains and losses.
Keyphrases
  • bone mineral density
  • physical activity
  • human health
  • gene expression
  • risk assessment
  • genome wide
  • body mass index
  • pregnant women
  • single cell
  • dna methylation
  • postmenopausal women
  • birth weight
  • genetic diversity