Adapting the dynamic energy budget (DEB) approach to include non-continuous growth (moulting) and provide better predictions of biological performance in crustaceans

Talbot, Elizabeth; Widdicombe, Stephen; Hauton, Chris; Bruggeman, Jorn

doi:10.1093/icesjms/fsy164

Cited by 11 publications

(9 citation statements)

References 78 publications

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“…Talbot et al [13] proposed a dynamic energy budget (DEB) model to describe the effect of environmental factors and food availability on the growth of crustacean species. Despite the environmental variability has been considered, the individual variability has yet to be thoroughly discussed in their model.…”

Section: Introductionmentioning

confidence: 99%

Parameter estimation of laboratory-reared Panulirus ornatus

Foo

2020

SN Appl. Sci.

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In the fisheries study, fish growth is typically in an indeterminate fashion implying a continuous growth function occurs throughout the life. Most existing studies of fish trajectories are continuous; however, it is not true when modelling growth of the crustacean species with discontinuous growth paths. In this context, it is imperative to insure that a different type of model for describing absolute growth in crustaceans. Crustaceans must moult for them to grow. A moulting process is of periodical shedding of the exoskeleton and thus the crustacean growth is known to be a discontinuous process. The sudden growth of crustaceans through the moulting process makes the growth estimation more complex. To model the discontinuous growth, we consider stochastic approaches where the growth model only considers for a monotonically increasing function. To this end, we introduce a subordinator that is a special case of a Levy process. A subordinator is a non-decreasing Levy process, that enabling the individual variability and environmental perturbation to be included in modelling growth. A dataset in the laboratory setting (e.g. in an aquarium) is developed. The motivational dataset is from the ornate rock lobster, Panulirus ornatus, where the growth parameters can be estimated through two inter-correlated variables, namely the intermoult periods and the moult increments. We propose a joint density function, consisting of the moult increments and the intermoult periods. Both of these variables are assumed to be conditionally independent based on the Markov property. In the four-year studies from 1995 to 1999, the growth rates for females and males are estimated averagely 0.307 mm year-1 and 0.205 mm year-1 , respectively. Therefore, the growth parameters of moult increments and intermoult periods can be quantified individually. The corresponding functions will then be convoluted through a simulation approach to obtain a population mean curve for crustaceans.

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Section: Introductionmentioning

confidence: 99%

Parameter estimation of laboratory-reared Panulirus ornatus

Foo

2020

SN Appl. Sci.

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“…Growth is a result of energy balance between energy intake and energy expenditure (Talbot et al, 2018). As a result of energy homeostasis, genes in the catabolic pathways such as trypsin, zinc proteinase and carboxypeptidase were highly expressed in the Bottom-weight group.…”

Section: Discussionmentioning

confidence: 99%

“…Immune function could be energetically costly, thus physical growth of an animal could be compromised when immune responses were stimulated ( Cabrera-Martínez, Herrera & Cruz-Neto, 2018 ; Doeschl-Wilson et al, 2009 ). Growth is a result of energy balance between energy intake and energy expenditure ( Talbot et al, 2018 ). As a result of energy homeostasis, genes in the catabolic pathways such as trypsin, zinc proteinase and carboxypeptidase were highly expressed in the Bottom-weight group.…”

Section: Discussionmentioning

confidence: 99%

Multi-omics analysis to examine microbiota, host gene expression and metabolites in the intestine of black tiger shrimp (Penaeus monodon) with different growth performance

Uengwetwanit

Uawisetwathana

Arayamethakorn

et al. 2020

PeerJ

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Understanding the correlation between shrimp growth and their intestinal bacteria would be necessary to optimize animal’s growth performance. Here, we compared the bacterial profiles along with the shrimp’s gene expression responses and metabolites in the intestines between the Top and the Bottom weight groups. Black tiger shrimp (Penaeus monodon) were collected from the same population and rearing environments. The two weight groups, the Top-weight group with an average weight of 36.82 ± 0.41 g and the Bottom-weight group with an average weight of 17.80 ± 11.81 g, were selected. Intestines were aseptically collected and subjected to microbiota, transcriptomic and metabolomic profile analyses. The weighted-principal coordinates analysis (PCoA) based on UniFrac distances showed similar bacterial profiles between the two groups, suggesting similar relative composition of the overall bacterial community structures. This observed similarity was likely due to the fact that shrimp were from the same genetic background and reared under the same habitat and diets. On the other hand, the unweighted-distance matrix revealed that the bacterial profiles associated in intestines of the Top-weight group were clustered distinctly from those of the Bottom-weight shrimp, suggesting that some unique non-dominant bacterial genera were found associated with either group. The key bacterial members associated to the Top-weight shrimp were mostly from Firmicutes (Brevibacillus and Fusibacter) and Bacteroidetes (Spongiimonas), both of which were found in significantly higher abundance than those of the Bottom-weight shrimp. Transcriptomic profile of shrimp intestines found significant upregulation of genes mostly involved in nutrient metabolisms and energy storage in the Top-weight shrimp. In addition to significantly expressed metabolic-related genes, the Bottom-weight shrimp also showed significant upregulation of stress and immune-related genes, suggesting that these pathways might contribute to different degrees of shrimp growth performance. A non-targeted metabolome analysis from shrimp intestines revealed different metabolic responsive patterns, in which the Top-weight shrimp contained significantly higher levels of short chain fatty acids, lipids and organic compounds than the Bottom-weight shrimp. The identified metabolites included those that were known to be produced by intestinal bacteria such as butyric acid, 4-indolecarbaldehyde and L-3-phenyllactic acid as well as those produced by shrimp such as acyl-carnitines and lysophosphatidylcholine. The functions of these metabolites were related to nutrient absorption and metabolisms. Our findings provide the first report utilizing multi-omics integration approach to investigate microbiota, metabolic and transcriptomics profiles of the host shrimp and their potential roles and relationship to shrimp growth performance.

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“…DEB-based models are able to capture changes in easily measurable variables such as weight and length explicitly as a function of temperature and food availability and, thus, can be used to study relevant biological responses in relation to shifts in environmental conditions. For this reason, their use in fish research is becoming increasingly popular with applications also in the field of climate research (Monaco and McQuaid 2018;Sara et al, 2018;Stavrakidis-Zachou et al 2019a;Talbot et al 2019). The feeding rate of an individual of a given size is proportional to a measure f of the food availability.…”

Section: Dynamic Energy Budget Modelsmentioning

confidence: 99%

Projecting climate change impacts on Mediterranean finfish production: a case study in Greece

et al. 2021

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Finfish aquaculture in the Mediterranean Sea faces increasing challenges due to climate change, while potential adaptation requires a robust assessment of the arising threats and opportunities. This paper presents an approach developed to investigate effects of climate drivers on Greek aquaculture, a representative Mediterranean country with a leading role in the sector. Using a farm level approach, dynamic energy budget models for European seabass and meagre were developed, and environmental forcing was used to simulate changes in production and farm profitability under IPCC scenarios RCP45 and RCP85. The effects of temperature and extreme weather events at the individual and farm levels were considered along with that of husbandry parameters such as stocking timing, market size, and farm location (inshore, offshore) for nine regions. The simulations suggest that at the individual level, fish may benefit from warmer temperatures in the future in terms of growth, thus reaching commercial sizes faster, while the husbandry parameters may have as large an effect on growth as the projected shifts in climatic cues. However, this benefit will be largely offset by the adverse effects of extreme weather events at the population level. Such events will be more frequent in the future and, depending on the intensity one assigns to them, they could cause losses in biomass and farm profits that range from mild to detrimental for the industry. Overall, these results provide quantification of some of the potential threats for an important aquaculture sector while suggesting possibilities to benefit from emerging opportunities. Therefore, they could contribute to improving the sector’s readiness for tackling important challenges in the future.

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Adapting the dynamic energy budget (DEB) approach to include non-continuous growth (moulting) and provide better predictions of biological performance in crustaceans

Cited by 11 publications

References 78 publications

Parameter estimation of laboratory-reared Panulirus ornatus

Parameter estimation of laboratory-reared Panulirus ornatus

Multi-omics analysis to examine microbiota, host gene expression and metabolites in the intestine of black tiger shrimp (Penaeus monodon) with different growth performance

Projecting climate change impacts on Mediterranean finfish production: a case study in Greece

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