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Enregistrement W4400892461 · doi:10.1242/jeb.248197

Expanding the scope: integrating costs of digestive metabolism and growth into estimates of maximum oxygen uptake in fishes

2024· article· en· W4400892461 sur OpenAlexafffund
Timothy Fernandes, Shi‐Jian Fu, David J. McKenzie, Shaun S. Killen

Notice bibliographique

RevueJournal of Experimental Biology · 2024
Typearticle
Langueen
DomaineEnvironmental Science
ThématiquePhysiological and biochemical adaptations
Établissements canadiensUniversity of Toronto
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCompany of BiologistsNatural Environment Research CouncilSight Research UK
Mots-clésScope (computer science)MetabolismOxygenOxygen metabolismBiologyBiochemistryChemistryComputer science

Résumé

récupéré en direct d'OpenAlex

The recent paper by Rees et al. (2024) provided a comprehensive overview of various methods for estimating the maximum rate of oxygen uptake in fishes (ṀO2,max), as measured during physical activity. ṀO2,max is a critical physiological trait in animals that, when combined with the basal rate of oxygen uptake, allows estimation of the aerobic scope for in situ organismal performance. When measured in fish, ṀO2,max is often equated to maximum metabolic rate (MMR) and thus marks the apparent upper limit on aerobic metabolism, thought to be important for survival and performance during various life history events and tolerance to environmental stressors. When attempting to measure ‘true’ ṀO2,max, an appreciation for how methodological and experimental procedures can influence results is critical, as well highlighted by Rees et al. (2024) in their Commentary on estimating maximum oxygen uptake of fishes during either swimming (peak ṀO2,swim) or following exhaustive chase (peak ṀO2,recovery). As discussed by Rees et al. (2024), ṀO2,swim and ṀO2,recovery measure different physiological processes, yet are both used to estimate ṀO2,max in fishes. In addition to ṀO2,swim and ṀO2,recovery, mounting evidence suggests that consideration for the costs of digestion and growth, both alone and in combination with activity, may be required for understanding and estimating ‘true’ ṀO2,max across species, and, therefore, in understanding ‘true’ MMR.Although often overlooked, research in some fish species suggests that MMR may only be measured during the digestion and processing of a meal, or when exercise and digestion occur simultaneously. During and following digestion in some fish species, apparent specific dynamic action (SDA) – the cost of digestion, assimilation of nutrients and post-absorptive processes (e.g. protein synthesis and deposition) following feeding (Goodrich et al., 2024) – involves considerably greater oxygen uptake than during or following exhaustive physical activity (Fu et al., 2022; Steell et al., 2019). Existing work in some fish species has already leveraged this phenomenon by combining meal provision with activity when attempting to elicit ṀO2,max in laboratory settings (e.g. Couturier et al., 2013). Although peak oxygen uptake during SDA (peak ṀO2,SDA) does not always match ṀO2,swim or ṀO2,recovery across species, the cost and prioritisation of SDA appear to depend on a species' lifestyle and constitutive capacity for swimming performance. Indeed, species with more sedentary lifestyles appear more likely to achieve ṀO2,max during SDA as compared with during locomotor activity (Fu et al., 2009, 2022). Fish species may therefore exist along a continuum of metabolic types, spanning those prioritising digestive processes and that achieve ṀO2,max through SDA, to those that prioritise locomotor activity and attain ṀO2,max during or following physical exercise (i.e. visceral-type to locomotor-type continuum; Fu et al., 2022). Moreover, when SDA is combined with swimming activity by feeding and exercising animals simultaneously, values of ṀO2,max exceeding peak ṀO2,swim and ṀO2,recovery have been observed in many species (Jourdan-Pineau et al., 2010). Even in the absence of physical activity, elevated temperatures and seasonal conditions may also drive peak ṀO2,SDA to approach or exceed peak ṀO2,swim or ṀO2,recovery (Sandblom et al., 2014), possibly even in species that may otherwise prioritise locomotion. Notably, however, peak oxygen uptake during digestion has not been widely recorded across fish species, limiting our understanding of how the cost of SDA may vary with meal size and environmental conditions, as well as how the cost of SDA then compares with ṀO2,recovery and ṀO2,swim. Therefore, available evidence suggests that ṀO2,max may be achieved following feeding in some species and this phenomenon may be more widespread among fishes than is currently appreciated.By further incorporating the costs of SDA into our understanding of ṀO2,max and MMR, we would also be better positioned to apply knowledge of MMR and aerobic scope in an ecological context. The digestive system represents the interface between an organism's internal and external environments through foraging and digestion, directly mediating the capacity for and aerobic cost of energy acquisition and growth. It is also among the most dynamic and expensive organ systems, receiving a disproportionate share of resting cardiac output (∼25–40%; Thorarensen et al., 1993) and circulating oxygen (11–25% of total whole-animal oxygen uptake; Brijs et al., 2018). Analogous to the critical periods of high-performance swimming fuelled by peak ṀO2,swim and ṀO2,recovery, values of peak ṀO2,SDA may reflect the capacity for resource acquisition and allocation to growth during critical life history events, or be linked to key aspects of behaviour due to constraints on available aerobic scope (McLean et al., 2018). Given the potential for seasonal plasticity in the digestive tract to drive >2-fold changes in the mass of digestive machinery in at least some fish species (Fernandes et al., 2024), values of in situ SDA during periods of digestive up-regulation are likely to far exceed those measured in the lab. Thus, true ṀO2,max or MMR in some species may be seasonally dynamic, responding to plastic changes in the form and function of digestive tissues, independent of locomotor ability. In such species, times of the year when energy acquisition has a disproportionate impact on survival and organismal fitness (e.g. during reproductive tissue development, peak seasonal growth windows, or energy accumulation prior to overwinter quiescence) may represent seasonal windows of elevated peak ṀO2,SDA that directly shape reproductive potential and survival probability. Conversely, during periods of energy conservation and reduced feeding, the digestive tract can experience substantial down-regulation (Middleton et al., 2024). Corresponding reductions in peak ṀO2,SDA during these periods could shift the true ceiling for whole-animal ṀO2,max to occur in response to locomotor activity, while also providing information about the capacity for flexibility in the costs of digestion and growth. As such, whether true ṀO2,max or MMR can be measured through SDA or in response to physical activity may not only depend on a species' lifestyle, but also on its dynamic responses to ecological and environmental factors that are yet to be thoroughly studied.Rees et al. (2024) present an excellent and timely perspective on the benefits of understanding the physiological relevance of estimates of ṀO2,max, as determined using two widespread approaches involving physical activity, introducing peak ṀO2,swim and ṀO2,recovery as useful updates to terminology in the field. Here, we suggest that further incorporating ṀO2,SDA into estimates of ṀO2,max offers an additional and fruitful suite of opportunities for understanding fish ecophysiology. We also encourage additional research on a wider diversity of fish species to further our understanding of the processes underlying why some species appear to engage in peak ṀO2 during digestion and post-absorptive processes as opposed to during or following physical activity. This information will then reveal whether the most appropriate measure of ṀO2,max varies within species in response to feeding history or environmental context.The authors are grateful for constructive feedback from several anonymous colleagues.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,018
score de la tête « metaresearch » (Gemma)0,044
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,022
Score d'incertitude au seuil0,094

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0180,044
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,002
Études des sciences et des technologies0,0010,004
Communication savante0,0030,006
Science ouverte0,0030,006
Intégrité de la recherche0,0030,004
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,286
Écart entre enseignants0,269 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2024
Routes d'admission2
Résumé présentoui

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