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Method dependency of maximum oxygen uptake rate and its repeatability in the Gulf killifish, Fundulus grandis.

Samantha D BrieskeSylvia C MullenBernard B Rees
Published in: Journal of fish biology (2024)
The maximum rate at which fish can take up oxygen from their environment to fuel aerobic metabolism is an important feature of their physiology and ecology. Methods to quantify maximum oxygen uptake rate (ṀO 2 ), therefore, should reliably and reproducibly estimate the highest possible ṀO 2 by an individual or species under a given set of conditions (peak ṀO 2 ). This study determined peak ṀO 2 and its repeatability in Gulf killifish, Fundulus grandis, subjected to three methods to elevate metabolism: swimming at increasing water speeds, during recovery after an exhaustive chase, and after ingestion of a large meal. Estimates of peak ṀO 2 during swimming and after an exhaustive chase were repeatable across two trials, whereas peak ṀO 2 after feeding was not. Peak ṀO 2 determined by the three methods was significantly different from one another, being highest during swimming, lowest after an exhaustive chase, and intermediate after feeding. In addition, peak ṀO 2 during recovery from an exhaustive chase depended on the length of time of recovery: in nearly 60% of the trials, values within the first hour of the chase were lower than those measured later. A novel and important finding was that an individual's peak ṀO 2 was not repeatable when compared across methods. Therefore, the peak ṀO 2 estimated for a group of fish, as well as the ranking of individual ṀO 2 within that group, depends on the method used to elevate aerobic metabolism.
Keyphrases
  • blood pressure
  • machine learning
  • deep learning