Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

Reemeyer, Jessica E.; Rees, B.

doi:10.1242/jeb.228098

Cited by 13 publications

(29 citation statements)

References 89 publications

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“…In comparison to WAM and CaM, CT max had little interindividual variation (less than 3% and less than 1% for 12°C and 28°C, respectively). This interindividual variation for metabolic rates exceeds values previously reported for other teleost fish [50,51]. For example, in brown trout variation among individuals in SMR and maximum metabolic rate ranged from 12 to 14% [50].…”

Section: Discussionmentioning

confidence: 58%

“…In two species of damsel flies, variation in thermal response affects both reproduction success and survival [ 22 ]. Similarly, metabolic rates have high heritability [ 51 – 53 ], and the individual variation in metabolic rates is associated with differential survival and other life-history traits [ 35 , 54 – 57 ]. Finally, across taxa, there is a strong phylogenic signal for WAM and biogeographic distribution and habitat use [ 55 , 101 ].…”

Section: Discussionmentioning

confidence: 99%

“…For example, in brown trout variation among individuals in SMR and maximum metabolic rate ranged from 12 to 14% [50]. If this variation is heritable as suggested by other studies [51–53] and the individual variation in metabolic rates is associated with differential survival and other life-history traits [35,54–57]; the greater variation among individuals may be important for evolutionary adaptation.…”

Section: Discussionmentioning

confidence: 99%

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Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating

et al. 2021

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To better understand temperature's role in the interaction between local evolutionary adaptation and physiological plasticity, we investigated acclimation effects on metabolic performance and thermal tolerance among natural Fundulus heteroclitus (small estuarine fish) populations from different thermal environments. Fundulus heteroclitus populations experience large daily and seasonal temperature variations, as well as local mean temperature differences across their large geographical cline. In this study, we use three populations: one locally heated (32°C) by thermal effluence (TE) from the Oyster Creek Nuclear Generating Station, NJ, and two nearby reference populations that do not experience local heating (28°C). After acclimation to 12 or 28°C, we quantified whole-animal metabolic (WAM) rate, critical thermal maximum (CT max ) and substrate-specific cardiac metabolic rate (CaM, substrates: glucose, fatty acids, lactate plus ketones plus ethanol, and endogenous (i.e. no added substrates)) in approximately 160 individuals from these three populations. Populations showed few significant differences due to large interindividual variation within populations. In general, for WAM and CT max , the interindividual variation in acclimation response (log 2 ratio 28/12°C) was a function of performance at 12°C and order of acclimation (12–28°C versus 28–12°C). CT max and WAM were greater at 28°C than 12°C, although WAM had a small change (2.32-fold) compared with the expectation for a 16°C increase in temperature (expect 3- to 4.4-fold). By contrast, for CaM, the rates when acclimatized and assayed at 12 or 28°C were nearly identical. The small differences in CaM between 12 and 28°C temperature were partially explained by cardiac remodeling where individuals acclimatized to 12°C had larger hearts than individuals acclimatized to 28°C. Correlation among physiological traits was dependent on acclimation temperature. For example, WAM was negatively correlated with CT max at 12°C but positively correlated at 28°C. Additionally, glucose substrate supported higher CaM than fatty acid, and fatty acid supported higher CaM than lactate, ketones and alcohol (LKA) or endogenous. However, these responses were highly variable with some individuals using much more FA than glucose. These findings suggest interindividual variation in physiological responses to temperature acclimation and indicate that additional research investigating interindividual may be relevant for global climate change responses in many species.

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Section: Discussionmentioning

confidence: 58%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating

et al. 2021

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“…December 2020) used Raspberry Pi's to control heating mats to investigate the effects of increased temperature on cyanobacteria in natural plankton communities. Reemeyer and Rees (2020) used a galvanic oxygen sensor to control the nitrogen flow in aquaria to investigate the influence of dissolved oxygen on fishes’ metabolism. M. King (pers.…”

Section: Overview Of Applications Across the Biological Domainmentioning

confidence: 99%

Broad‐scale applications of the Raspberry Pi: A review and guide for biologists

Jolles

2021

Methods Ecol Evol

148

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1. The field of biology has seen tremendous technological progress in recent years, fuelled by the exponential growth in processing power and high-level computing, and the rise of global information sharing. Low-cost single-board computers are predicted to be one of the key technological advancements to further revolutionise this field.2. So far, an overview of current uptake of these devices and a general guide to help researchers integrate them in their work has been missing. In this paper I focus on the most widely used single-board computer, the Raspberry Pi, and review its broad applications and uses across the biological domain.3. Since its release in 2012, the Raspberry Pi has been increasingly taken up by biologists, in the laboratory, the field and in the classroom, and across a wide range of disciplines. A hugely diverse range of applications exists that ranges from simple solutions to dedicated custom-build devices, including nest-box monitoring, wildlife camera trapping, high-throughput behavioural recording, large-scale plant phenotyping, underwater video surveillance, closed-loop operant learning experiments and autonomous ecosystem monitoring. Despite the breadth of its implementations, the depth of uptake of the Raspberry Pi by the scientific community is still limited. 4. The broad capabilities of the Raspberry Pi, combined with its low cost, ease of use and large user community make it a great research tool for almost any project. To help accelerate the uptake of the Raspberry Pi by the scientific community, I provide detailed guidelines, recommendations and considerations, and 30+ step-by-step guides on a dedicated accompanying website (http://raspb erryp i-guide.github.io). I hope this paper will help generate more awareness about the Raspberry Pi among scientists and thereby both fuel the democratisation of science and ultimately help advance our understanding of biology, from the micro-to the macro-scale.

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“…3). In some cases, extended trial duration could result in physiological acclimation of, or impairment to, the oxygen supply cascade in response to declining oxygen or accumulated metabolic waste, respectively, resulting in variation in α relative to shorter trials (Reemeyer and Rees, 2020;Regan and Richards, 2017;Snyder et al, 2016;Sollid et al, 2005). However, differences in methodology between studies that only influence the MR will not affect the oxygen supply capacity.…”

Section: Specific Recommendationsmentioning

confidence: 99%

Oxygen supply capacity breathes new life into critical oxygen partial pressure (Pcrit)

Seibel

Andres

Birk

et al. 2021

Journal of Experimental Biology

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The critical oxygen partial pressure (Pcrit), typically defined as that below which an animal's metabolic rate (MR) is unsustainable, is widely interpreted as a measure of hypoxia tolerance. Here, Pcrit is defined as the PO2 at which physiological oxygen supply (α0) reaches its maximum capacity (α; µmol O2 g−1h−1kPa−1). The α is a species- and temperature-specific constant describing the oxygen dependency of the maximum metabolic rate (MMR= PO2*α) or, equivalently, the metabolic rate-dependence of Pcrit (Pcrit=MR/α). We describe the α-method, in which the MR is monitored as oxygen declines and, for each measurement period, is divided by the corresponding PO2 to provide the concurrent oxygen supply (α0=MR/PO2). The highest α0 value (or, more conservatively, the mean of the three highest values) is designated as α. The same value of α is reached at Pcrit for any MR regardless of previous or subsequent metabolic activity. The metabolic rate needn't be constant (regulated), standardized, nor exhibit a clear-breakpoint at Pcrit for accurate determination of α. The α-method has several advantages over Pcrit determination and non-linear analyses, including: 1) less ambiguity and greater accuracy, 2) fewer constraints in respirometry methodology and analysis, and 3) greater predictive power and ecological and physiological insight. Across the species evaluated here, α values are correlated with MR, but not Pcrit. Rather than an index of hypoxia tolerance, Pcrit is a reflection of α, which evolves to support maximum energy demands and aerobic scope at the prevailing temperature and oxygen level.

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Plasticity, repeatability, and phenotypic correlations of aerobic metabolic traits in a small estuarine fish

Cited by 13 publications

References 89 publications

Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating

Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating

Broad‐scale applications of the Raspberry Pi: A review and guide for biologists

Oxygen supply capacity breathes new life into critical oxygen partial pressure (Pcrit)

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