The effects of light, darkness and intermittent feeding on the growth and survival of reared Atlantic bonito and Atlantic bluefin tuna larvae

Blanco, Edurne; Reglero, Patricia; Ortega, Aurelio; Gándara, Fernando de la; Fiksen, Øyvind; Folkvord, Arild

doi:10.1016/j.aquaculture.2017.05.020

Cited by 14 publications

(13 citation statements)

References 33 publications

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“…The daily specific growth rates in the present study were slightly lower than those reported in previous ABFT studies during the piscivorous stage due to the potential selection of the smaller larvae (Blanco et al, 2017;Reglero et al, 2014). The standard length vs. DW relationship estimated from laboratory-reared individuals was similar to relationships previously found in field-captured ABFT larvae (García et al, 2006).…”

Section: Larval Growthsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

“…Each night before the RMR measurements, ABFT larvae were transferred to a new tank without prey for 8–9 h, allowing sufficient time for food to be cleared from the gut (Blanco et al ., 2017) to minimize the effect of specific dynamic action. Larvae were individually collected from the rearing tank by using a big spoon and transferred to a bowl with filtered sea water (10 μm), using a red lantern in darkness to avoid larval disturbance.…”

Section: Methodsmentioning

confidence: 99%

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First estimates of metabolic rate in Atlantic bluefin tuna larvae

Blanco

Reglero

Ortega

et al. 2020

Journal of Fish Biology

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Atlantic bluefin tuna is an iconic scombrid species with a high commercial and ecological value. Despite their importance, many physiological aspects, especially during the larval stages, are still unknown. Metabolic rates are one of the understudied aspects in scombrid larvae, likely due to challenges associated to larval handling before and during respirometry trials. Gaining reliable estimates of metabolic rates is essential to understand how larvae balance their high growth needs and activity and other physiological functions, which can be very useful for fisheries ecology and aquaculture. This is the first study to (a) estimate the relationship between routine metabolic rate (RMR) and larval dry weight (DW) (mass scaling exponent) at a constant temperature of 26 C, (b) measure the RMR under light and darkness and (c) test whether the interindividual differences in the RMR are related to larval nutritional status (RNA/DNA and DNA/DW). The RMR scaled nearly isometrically with body size (b = 0.99, 0.60-31.56 mg DW) in contrast to the allometric relationship observed in most fish larvae (average b = 0.87). The results show no significant differences in larval RMR under light and darkness, suggesting similar larval activity levels in both conditions. The size explained most of the variability in RMR (97%), and nutritional condition was unrelated to the interindividual differences in routine metabolism. This is the first study to report the metabolic rates of Atlantic bluefin tuna larvae and discuss the challenges of performing bioenergetic studies with early life stages of scombrids.

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Section: Larval Growthsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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First estimates of metabolic rate in Atlantic bluefin tuna larvae

Blanco

Reglero

Ortega

et al. 2020

Journal of Fish Biology

Self Cite

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“…On the other side, the Pacific bluefin tuna Thunnus orientalis genome assembly allowed the discovery of evolutionary changes in several visual pigment genes which may have contributed to detecting contrasts in the blue-green spectrum and enhance hunting in the pelagic ocean (Nakamura et al 2013). Recently, the effects of alternating light regimes on Atlantic bluefin tuna larval growth and survival rates were tested with promising results, highlighting an alternative solution for intensive cultures (Blanco et al 2017). However, the authors also pointed out the possible existence of stage-dependent light needs and endocrine factors affecting appetite, digestion and growth during the larval development.…”

Section: Discussionmentioning

confidence: 99%

“…Recently, more attempts to manipulate the life cycle (i.e. induce spawning) and grow the larvae were carried out with promising achievements (Mylonas et al 2007;De Metrio et al 2010;Reglero et al 2014;Yúfera et al 2014;Blanco et al 2017;Betancor et al 2017;Betancor et al 2019;Betancor et al 2020). In this context, understanding nutritional requirements, growth pattern, responses to external stimuli, morphological and physiological changes and discovering stage-specific markers during the larval development are central points (Gisbert et al 2008;Rønnestad et al 2013).…”

mentioning

confidence: 99%

De novo transcriptome assembly, functional annotation and characterization of the Atlantic bluefin tuna (Thunnus thynnus) larval stage

Marisaldi

Basili

Gioacchini

et al. 2020

Preprint

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biosynthesis, muscle development and ion transport, supporting the idea of mechanisms at play in regulating stability and translation efficiency of transcripts belonging to key biological processes during the larval growth. The information generated by this study on the Atlantic bluefin tuna represent a relevant improvement of the transcriptomic resources available to the scientific community and lays the foundation for future works aimed at exploring in greater detail physiological responses at molecular level in different larval stages.

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FishSizer: Software solution for efficiently measuring larval fish size

Rasmussen

Moyano

Fuiman

et al. 2022

Ecology and Evolution

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Length and depth of fish larvae are part of the fundamental measurements in many marine ecology studies involving early fish life history. Until now, obtaining these measurements has required intensive manual labor and the risk of inter‐ and intra‐observer variability. We developed an open‐source software solution to semi‐automate the measurement process and thereby reduce both time consumption and technical variability. Using contrast‐based edge detection, the software segments images of a fish larva into “larva” and “background.” Length and depth are extracted from the “larva” segmentation while taking curvature of the larva into consideration. The graphical user interface optimizes workflow and ease of usage, thereby reducing time consumption for both training and analysis. The software allows for visual verification of all measurements. A comparison of measurement methods on a set of larva images showed that this software reduces measurement time by 66%–78% relative to commonly used software. Using this software instead of the commonly used manual approach has the potential to save researchers from many hours of monotonous work. No adjustment was necessary for 89% of the images regarding length (70% for depth). Hence, the only workload on most images was the visual inspection. As the visual inspection and manual dimension extraction works in the same way as currently used software, we expect no loss in accuracy.

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The effects of light, darkness and intermittent feeding on the growth and survival of reared Atlantic bonito and Atlantic bluefin tuna larvae

Cited by 14 publications

References 33 publications

First estimates of metabolic rate in Atlantic bluefin tuna larvae

First estimates of metabolic rate in Atlantic bluefin tuna larvae

De novo transcriptome assembly, functional annotation and characterization of the Atlantic bluefin tuna (Thunnus thynnus) larval stage

FishSizer: Software solution for efficiently measuring larval fish size

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