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67 results for “metabolic traits”
Data from: Padfield et al. (2016) Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton. Ecology letters.
<p>This repository provides the data from the TPC and logistic growth curves from the paper:</p> <p>Padfield, D., Yvon‐Durocher, G., Buckling, A., Jennings, S., & Yvon‐Durocher, G. (2016). Rapid evolution of metabolic traits explains thermal adaptation in phytoplankton. Ecology letters, 19(2), 133-142.</p> <p>metadata.pdf gives a more detailed explanation of the data.</p>
Potential Metabolic Activity, Catalase Activity, Performance traits and Morphological variables of 94 individuals belonging to Podarcis muralis species used in the analysis
<p>Potential Metabolic Activity (ETS26_P, ETS31_P, ETS36_P), Catalase Activity (CAT_P), Performance traits (BITE, SPRINT,CLIMB, MANO) and Morphological variables (snout-vent length (SVL), trunk length (TRL), pileus length (PL), head length (HL), head width (HW), head height (HH), fore limb length (FLL) and hind limb length (HLL) of 94 individuals belonging to <em>Podarcis muralis</em> species. The data was used in the analysis of the paper entitled: Is It Function or Fashion? An Integrative Analysis of Morphology, Performance, and Metabolism in a Colour Polymorphic Lizard, by authors Verónica Gomes, Anamarija Žagar, Guillem Pérez i de Lanuza, Tatjana Simčič and Miguel A. Carretero, published in the journal Diversity 2022, 14, 116. <a href="https://doi.org/10.3390/d14020116">https://doi.org/10.3390/d14020116</a></p>
Trans-acting genotypes drive mRNA expression affecting metabolic and thermal tolerance traits
<p>Evolutionary processes driving physiological trait variation depend on the underlying genomic mechanisms. Evolution of these mechanisms depends on whether traits are genetically complex (involving many genes) and how gene expression that impacts the traits is converted to phenotype. Yet, genomic mechanisms that impact physiological traits are diverse and context-dependent (e.g., vary by environment or among tissues), making them difficult to discern. Here we examine the relationships between genotype, mRNA expression, and physiological traits to discern the genetic complexity and whether the gene expression affecting the physiological traits is primarily cis or trans-acting. We use low-coverage whole genome sequencing and tissue-specific mRNA expression among individuals to identify polymorphisms directly associated with physiological traits and expressed quantitative trait loci (eQTL) driving variation in six temperature-specific physiological traits (standard metabolic rate, thermal tolerance, and four substrate-specific cardiac metabolic rates). Not surprisingly, there were few, only five, SNPs directly associated with physiological traits. Yet, by focusing on a select set of mRNAs belonging to co-expression modules that explain up to 82% of temperature specific (12°C or 28°C) metabolism and thermal tolerance, we identified hundreds of significant eQTL for mRNA whose expression affects physiological traits. Surprisingly, most eQTL (97.4% for heart and 96.7% for brain) of eQTL were trans-acting. This could be due to higher effect size or greater importance of trans versus cis-acting eQTLs for mRNAs that are central to co-expression modules. That is, we may have enhanced the identification of trans-acting factors by looking for SNPs associated with mRNAs in co-expression modules that are known to be correlated with the expression of 10s or 100s of other genes, and thus have identified eQTLs with widespread effects on broad gene expression patterns. Overall, these data indicate that the genomic mechanism driving physiological variation across environments is driven by trans-acting tissue-specific mRNA expression.</p>
Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
<p>In this study, we interpreted leaf metabolome variation among 457 tropical and 339 temperate plant species to understand how the metabolome contributes to macroecological variation in plant functioning. Metabolome data were generated using liquid chromatography mass spectrometry, annotated with compound names (where possible), and cross-referenced against chemoinformatics databases to derive metabolite chemical properties. We then compared variation in leaf metabolite chemical properties among species with variation in classical plant functional traits.</p>
Metabolic traits are shaped by phylogenetic conservatism and environment, not just body size
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Trans-acting genotypes drive mRNA expression affecting metabolic and thermal tolerance traits
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Data from: Leaf metabolic traits reveal hidden dimensions of plant form and function
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Data from: Metabolic rate shapes phenotypic covariance among physiological, behavioural, and life history traits in honeybees
<p>Metabolic rate is often cited as the fundamental rate that determines the rate of all biological processes by shaping energetic availability for the various behavioral and life history traits that contribute to performance. It has therefore been suggested that metabolic rate drives the widely observed covariance among these different levels of phenotypic traits. However, much of the work on this topic has relied on pairwise correlational analysis, thereby leaving an important gap in our understanding regarding the functional links that shape this phenotypic covariance, often referred to as pace-of-life. Using honeybees as an experimental model, we measured a large number of behavioural, life history and physiological traits in individual bees and used a structural equation model to characterize the phenotypic covariance structure among these traits. Following this with a path analysis, we demonstrate that variation in metabolic rate plays a fundamental proximate role in driving this phenotypic covariance structure in honeybees. We discuss the importance of these findings in the context of how interindividual variation in terms of slow-fast phenotypes may drive the phenotype of a group and the functional role metabolic rate might play in shaping division of labour and social evolution.</p>
Short-term heritable variation overwhelms two hundred generations of mutational variance for metabolic traits in Caenorhabditis elegans
<p>Metabolic disorders have a large heritable component, and have increased markedly in human populations over the past few generations. Genome-wide association studies of metabolic traits typically find a substantial unexplained fraction of total heritability, suggesting an important role of spontaneous mutation. An alternative explanation is that epigenetic effects contribute significantly to the heritable variation. Here we report a study designed to quantify the cumulative effects of spontaneous mutation on adenosine metabolism in the nematode <i>Caenorhabditis elegans</i>, including both the activity and concentration of two metabolic enzymes and the standing pools of their associated metabolites. The only prior studies on the effects of mutation on metabolic enzyme activity, in <i>Drosophila melanogaster</i>, found that total enzyme activity presents a mutational target similar to that of morphological and life-history traits. However, those studies were not designed to account for short-term heritable effects. We find that the short-term heritable variance for most traits is of similar magnitude as the variance among MA lines. This result suggests that the potential heritable effects of epigenetic variation in metabolic disease warrant additional scrutiny.</p>
Fifteen physiological traits related to osmoregulation and reactive oxygen species metabolism in two life form aquatic plants under a natural water salinity gradient on the Tibetan Plateau and Northwest China
<p><span>Aquatic plants, as the primary producers, determine the community structure and ecological function of freshwater ecosystems. However, salinization threatens inland freshwater wetlands and thus the survival of aquatic plants. Exploring the plant physiological responses to increasing water salinity could enhance our understandings of plant adaptive strategies under future climate change regimes in wetlands. We measured 15 physiological traits of 49 aquatic plant species along a large environmental gradient in alpine and arid regions of western China, to explore the physiological adaptions and compare the similarities and differences in adaptive strategies between the two life forms to natural water salinity. We found that both water salinity and low temperature were key factors affecting aquatic plants in alpine and arid regions. Aquatic plants adapt to saline habitats by accumulating proline and sulfur (S) concentrations, and to cold habitats by increasing ascorbate peroxidase activity. Plant trait network analysis showed that the hub trait in emergent plants was S, but in submerged plants was proline, suggesting that emergent plants balanced osmoregulation and reactive oxygen metabolism via S-containing compounds, while submerged plants prioritizing the regulation of osmotic balance via proline.</span></p>
Deriving population scaling rules from individual-level metabolism and life history traits - Code and Data
<p>Individual metabolism generally scales with body mass with an exponent around 3/4. From dimensional arguments it follows that maximum population growth rate (rmax) scales with a -1/4 exponent. However, the dimensional argument implicitly assumes that offspring size is proportional to adult size. Here we calculate rmax from metabolic scaling at the level of individuals within size-structured populations while explicitly accounting for offspring size. We identify four general patterns of how rmax scales with adult mass based on four empirical life-history patterns employed by groups of species. These life-history patterns are determined by how traits of somatic growth rate and/or offspring mass relate to adult mass. One life-history pattern -- constant adult:offspring mass ratio and somatic growth rate independent of adult mass -- leads to the classic -1/4 scaling of rmax. The other three life-history patterns lead either to non-metabolic population growth scaling with adult mass or do not follow a power-law relationship at all. Using life-history data of five marine taxa and terrestrial mammals, we identify species groups that belong to one of each case. We predict that elasmobranchs, copepods, and mammals follow standard -1/4 power-law scaling, whereas teleost fish and bivalves do not have a pure power-law scaling. Our work highlights how taxa may deviate from the classic -1/4 metabolic scaling pattern of maximum population growth. The approach is generic and can be applied to any taxa.</p>
The scaling of metabolic traits differs among larvae and juvenile colonies of scleractinian corals
<p>Body size profoundly affects organism fitness and ecosystem dynamics through the scaling of physiological traits. This study tests for variation in metabolic scaling and its potential drivers among corals differing in life history strategies and taxonomic identity. Data were compiled from published sources and augmented with empirical measurements of corals in Moorea, French Polynesia. The data compilation revealed metabolic isometry in broadcasted larvae, but size-independent metabolism in brooded larvae; empirical measures of <em>Pocillopora acuta</em> larvae also supported size-independent metabolism in brooded coral larvae. In contrast, for juvenile colonies (i.e., 1–4 cm diameter), metabolic scaling was isometric for <em>Pocillopora</em> spp. and negatively allometric for <em>Porites</em> spp. The scaling of biomass with surface area was isometric for <em>Pocillopora</em> spp., but positively allometric for <em>Porites</em> spp., suggesting the surface area:biomass ratio mediates metabolic scaling in these corals. The scaling of tissue biomass and metabolism was not affected by light treatment (i.e., either natural photoperiods or constant darkness) in both juvenile taxa. However, biomass was reduced by 9–15% in the juvenile corals from the light treatments and this coincided with higher metabolic scaling exponents, thus supporting the causal role of biomass in driving variation in scaling. This study shows that metabolic scaling is plastic in the early life stages of corals, with intrinsic differences between life history strategy (i.e., brooded and broadcasted larvae) and taxa (i.e., <em>Pocillopora </em>spp<em>. </em>and <em>Porites </em>spp<em>.</em>), and acquired differences attributed to changes in area-normalized biomass.</p>
Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating
<p><span><span><span><span><span><span><span><span><span><span>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 <i>Fundulus heteroclitus</i> populations from different thermal environments. <i>F. heteroclitus </i>populations<i> </i>experience large daily and seasonal temperature variations, as well as local mean temperature differences across their large geographic cline. In this study, we focus on 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°C or 28°C, we quantified whole animal metabolic rate (WAM), critical thermal maximum (CTMax) and substrate specific cardiac metabolic rate (CaM, substrates: glucose, fatty acids, lactate plus ketones plus ethanol, and endogenous [i.e., no added substrates]) in ~160 individuals from these three populations. Populations showed few significant differences due to large interindividual variation within each population and variation in acclimation response within any single trait. In general, for WAM and CTMax the interindividual variation in acclimation response (log<sub>2</sub> ratio 28°C/12°C) was a function of performance at 12°C with greater acclimation response for individuals that had lower 12°C performance. In contrast, for CaM the rates when acclimated and assayed at 12°C or 28°C were nearly identical. The small differences in CaM between 12°C and 28°C temperature were partially explained by cardiac remodeling where individuals acclimated to 12°C had larger hearts than individuals acclimated to 28°C, resulting in a higher CaM rate per unit heart mass at 28°C than 12°C. Correlation among physiological traits were dependent on acclimation temperature. For example, WAM was negatively correlated with CTMax at 12°C but positively correlated at 28°C. Additionally, glucose substrate supported higher cardiac metabolism than fatty acid, and fatty acid supported higher cardiac metabolism than LKA or endogenous. However, these responses were highly variable with some individuals using much more FA than glucose. These data suggest a complex relationship between specific, temperature-dependent physiological traits. </span></span></span></span></span></span></span></span></span></span></p>
Associations between metabolic traits and growth rate in brown trout (Salmo trutta) depend on thermal regime
<p class="academicstyle"><span><span><span><span><span><span><span><span><span><span><span>Metabolism defines the energetic cost of life, yet we still know relatively little about why intraspecific variation in metabolic rate arises and persists. Spatiotemporal variation in selection potentially maintains differences, but relationships between metabolic traits (standard metabolic rate (SMR), maximum metabolic rate (MMR), and aerobic scope) and fitness across contexts are unresolved. We show that associations between SMR, MMR, and growth rate (a key fitness-related trait) vary depending on thermal regime (a potential selective agent) in offspring of wild-sampled brown trout from two populations reared for ~15 months in either a cool or warm (+ 1.8°C) regime.<i> </i>SMR was positively related to growth in the cool, but negatively related in the warm regime. The opposite patterns were found for MMR and growth associations (positive in warm, negative in cool regime). Mean SMR, but not MMR, was lower in warm regimes within both populations (i.e., basal metabolic costs were reduced at higher temperatures), consistent with an adaptive acclimation response that optimises growth. Metabolic phenotypes thus exhibited a thermally sensitive metabolic 'floor' and a less flexible metabolic 'ceiling'. Our findings suggest a role for growth-related fluctuating selection in shaping patterns of metabolic variation that is likely important in adapting to climate change.</span></span></span></span></span></span></span></span></span></span></span></p>
Interindividual plasticity in metabolic and thermal tolerance traits from populations subjected to recent anthropogenic heating
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Fifteen physiological traits related to osmoregulation and reactive oxygen species metabolism in two life form aquatic plants under a natural water salinity gradient on the Tibetan Plateau and Northwest China
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Data from: The hidden cost of sexually selected traits: the metabolic expense of maintaining a sexually selected weapon
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Short-term heritable variation overwhelms two hundred generations of mutational variance for metabolic traits in Caenorhabditis elegans
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Data from: Metabolic rate shapes phenotypic covariance among physiological, behavioural, and life history traits in honeybees
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Associations between metabolic traits and growth rate in brown trout (Salmo trutta) depend on thermal regime
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.