Consequences of being phenotypically mismatched with the environment: no evidence of oxidative stress in cold- and warm-acclimated birds facing a cold spell.
Ana Gabriela JimenezEmily Cornelius RuhsKailey J TobinKatie N AndersonAudrey Le PogamLyette RegimbaldFrançois VézinaPublished in: The Journal of experimental biology (2020)
Seasonal changes in maximal thermogenic capacity (M sum) in wild black-capped chickadees suggests that adjustments in metabolic performance are slow and begin to take place before winter peaks. However, when mean minimal ambient temperature (T a) reaches -10°C, the chickadee phenotype appears to provide enough spare capacity to endure days with colder T a, down to -20°C or below. This suggests that birds could also maintain a higher antioxidant capacity as part of their cold-acclimated phenotype to deal with sudden decreases in temperature. Here, we tested how environmental mismatch affected oxidative stress by comparing cold-acclimated (-5°C) and transition (20°C) phenotypes in chickadees exposed to an acute 15°C drop in temperature with that of control individuals. We measured superoxide dismutase, catalase and glutathione peroxidase activities, as well as lipid peroxidation damage and antioxidant scavenging capacity in pectoralis muscle, brain, intestine and liver. We generally found differences between seasonal phenotypes and across tissues, but no differences with respect to an acute cold drop treatment. Our data suggest oxidative stress is closely matched to whole-animal physiology in cold-acclimated birds compared with transition birds, implying that changes to the oxidative stress system happen slowly.
Keyphrases
- oxidative stress
- dna damage
- ischemia reperfusion injury
- diabetic rats
- induced apoptosis
- liver failure
- gene expression
- air pollution
- hydrogen peroxide
- skeletal muscle
- electronic health record
- particulate matter
- heat shock
- intensive care unit
- nitric oxide
- brain injury
- climate change
- extracorporeal membrane oxygenation
- aortic dissection
- resistance training
- acute respiratory distress syndrome
- risk assessment
- artificial intelligence
- data analysis