Early-life ontogenetic developments drive tuna ecology and evolution

Early-life ontogenetic developments drive tuna ecology and evolution

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バイオインタフェース研究ユニット Marko Jusup特任助教の国際共著論文

“Early-life ontogenetic developments drive tuna ecology and evolution”

が、Journal of Marine Systems にオンライン掲載されました。

DOI: https://doi.org/10.1016/j.jmarsys.2020.103307

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<Abstract>

Formal approaches to physiological energetics, such as Dynamic Energy Budget (DEB) theory, enable interspecies comparisons by uniformly describing how individuals of different species acquire and utilise energy. We used DEB theory to infer the energy budgets of three commercial tuna species (skipjack, Pacific bluefin, and Atlantic bluefin) throughout all stages of ontogenetic development—from an egg to an adult individual and its eggs. Energy budgets were inferred from exhaustive datasets fed into a DEB-based mathematical model tailored to tuna fish, until reaching a high goodness of fit and thus reliable estimates of the model parameters. The life histories of all three species are strongly influenced by morphological and physiological adaptations that accelerate ontogeny during the larval stage, although the effect is more pronounced in bluefin than skipjack tuna. Accelerated ontogeny in energetic terms is a simultaneous improvement of energy acquisition (higher intake) and utilisation (higher expenditure) without changing the capacity of fish to build energy reserve as intake and expenditure increase in unison. High energy expenditure, an even higher intake by necessity, and a limited capacity to build energy reserve, make all three tuna species vulnerable to starvation, thereby theoretically underpinning the description of tunas as “energy speculators”. Energy allocation to reproduction maximises fecundity of all three tuna species, thus suggesting that the evolution of tuna favours higher fecundity at the expense of growth. Thinking beyond just physiological energetics (e.g., wild stock projections), DEB-based models are a natural foundation for physiologically-structured population dynamics wherein the environment influences the population growth rate via metabolism.