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Allometric growth and larval development in Pacific red snapper Lutjanus peru under culture conditions.

Renato PeñaCarlos U McGregor-BravoMauricio Contreras-Olguín
Published in: Journal of fish biology (2022)
Allometric growth is a common feature during fish larval development. It has been proposed as a growth strategy to prioritize the development of body segments related to primordial functions like feeding and swimming to increase the probability of survival during this critical period. In the present study we evaluated the allometric growth patterns of body segments associated to swimming and feeding during the larval stages of Pacific red snapper Lutjanus peru. The larvae were kept under intensive culture conditions and sampled every day from hatching until day 30 after hatching. Each larva was classified according to its developmental stage into yolk-sac larva, preflexion larva, flexion larva or postflexion larva, measured and the allometric growth coefficient of different body segments was evaluated using the potential model. Based on the results we can infer the presence of different ontogenetic priorities during the first developmental stages associated with vital functions like swimming during the yolk sac stage (TL interval = 2.27 - 3.005 mm) and feeding during the preflexion stage (TL interval = 3.007 - 5.60 mm) by promoting the accelerated growth of tail (post anal) and head, respectively. In the flexion stage (TL interval = 5.61 - 7.62 mm) a change in growth coefficients of most body segments compared to the previous stage, was detected, suggesting a shift in growth priorities. Finally, in the postflexion stage (TL interval = 7.60 - 15.48 mm) a clear tendency to isometry in most body segments was observed, suggesting that growth priorities have been fulfilled and the larvae will initiate with the transformation into a juvenile. These results provide a framework of the larval growth of L. peru in culture conditions which can be useful for comparative studies with other species or in aquaculture to evaluate the changes in larval growth due to new conditions or feeding protocols. This article is protected by copyright. All rights reserved.
Keyphrases
  • machine learning
  • computed tomography
  • aedes aegypti
  • magnetic resonance
  • drosophila melanogaster
  • deep learning
  • optical coherence tomography