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349 results for “acclimation”
Dataset and analyses for publication entitled: “Acclimation of the nitrogen cycle to changes in precipitation”
This dataset contains data and analysis code for the paper entitled “Acclimation of the nitrogen cycle to changes in precipitation" by Currier et al. As the frequency of precipitation extremes are expected to increase, especially in arid regions, we asked how prolonged shifts in water availability facilitate acclimation of the N cycle in a semiarid grassland. Using natural abundances of stable nitrogen isotopes for dominant plants and soils and rainfall manipulation experiments, we tested the hypothesis that N cycling will interact with water availability further amplifying the openness of the N cycle through time. For the dominant plant species, we found the relationship for N availability vs. ambient annual precipitation to be significantly positive, contrary to global spatial models. We also considered the temporal dynamics of our experiments, which imposed directional rainfall manipulations in duration ranging from 5 to 14 years. The slopes of these relationships decreased (became less positive) with more time since the onset of the directional precipitation extremes. These data and metadata supplement long-term foliar and soil isotope data from the Jornada LTER (Dataset ID: knb-lter-jrn.210586001) with a large spatial dataset from NEON data package DP1.10026.001 and Craine et al. 2018 (https://doi.org/10.5061/dryad.v2k2607).
CO2 Flux and Temperature Data for Estimating Thermal Acclimation in Ecosystem Respiration
We have compiled an extensive dataset of long-term, hourly CO2 flux measurements from 93 global eddy covariance sites to estimate the thermal response strength in nighttime ecosystem respiration. Flux data was sourced from AmeriFlux (https://ameriflux.lbl.gov/), FluxNet (https://fluxnet.org/), and ICOS (https://www.icos-cp.eu/). The processed data product encompasses five categories. (1) Long-term, directly measured, Ustar-filtered, hourly or subhourly nighttime ecosystem respiration, along with corresponding air temperature, soil temperature, and soil water content at the 93 sites. (2) Long-term gap-filled data, including hourly or subhourly net ecosystem exchange, air temperature, and soil temperature at these sites. (3) Annual topsoil (< 0.1 m) temperature and nighttime ecosystem respiration curves during the growing season, designed for calculating thermal response strength. (4) Estimated thermal response strength across these sites, detailed with geographic, climatic, soil, and vegetation conditions for each site. (5) An R script to calculate thermal response strength using the data product (3).
Acclimation to water restriction implies different paces for behavioral and physiological responses in a lizard species
<p>Raw data of the article "Acclimation to Water Restriction Implies Different Paces for Behavioral and Physiological Responses in a Lizard Species" by Rozen-Rechels D. et al., published in Physiological and Biochemical Zoology 93(2):160-174 in 2020 (https://doi.org/10.1086/707409). These data are freely available in csv format. See the readme file for metadata explanation.</p> <p>Data were formatted by the first author David Rozen-Rechels and collected according to standards and procedures described in the companion journal article.</p> <p> </p>
Supplementary data to "Changing microbial activities during low salinity acclimation in the brown alga Ectocarpus subulatus"
<p>This data set contains supplementary data related to the paper: “Insights into the potential for mutualistic and harmful host–microbe interactions affecting brown alga freshwater acclimation”: https://onlinelibrary.wiley.com/doi/10.1111/mec.16766</p> <p>Metagenome.zip:<br>This archive contains the reconstructed genomes of the different bacterial bins. The ".gbk" file was used for the reconstruction of metabolic networks. The ".fsa" and ".gff" files were used for "read mapping".</p> <p>Metabolic_networks.zip:<br>This archive contains all bacterial networks in the "padmet" format (see Aite et al. 2018). Furthermore, there is one file containing all gene-reaction associations (for all bins).</p> <p>Expression_data.zip:<br>This file contains algal gene expression data, bacterial gene expression data (number of reads mapping to each feature in each sample), and, lastly, the summarized bacterial expression per metabolic reaction. </p>
Photosynthesis in newly-developed leaves of heat-tolerant wheat acclimates to long-term nocturnal warming
<p>We examined photosynthetic capacity of newly-developed and pre-existing flag leaves of four wheat genotypes under three night temperatures (15, 20 and 25 °C) and common day temperature of 26 °C in two controlled environment experiments. In newly-developed leaves which acclimated (i.e. maintained or increased) the maximum rate of net CO<sub>2</sub> assimilation (<em>A</em><sub>n</sub>) to long-term (9–13 weeks) nocturnal warming, acclimation was underpinned by greater capacity of Rubisco carboxylation (<em>V</em><sub>cmax</sub>) and photosynthetic electron transport (<em>J</em>). This indicates a night-dependent temperature sensitivity of the activation state of Rubisco. Metabolite profiling linked acclimation of <em>A</em><sub>n</sub> to greater accumulation of monosaccharides and saturated fatty acids in leaves, suggesting roles for osmotic adjustment of leaf turgor pressure and maintenance of cell membrane integrity. By contrast, warm night-induced inhibition of <em>A</em><sub>n</sub> was related to reductions in stomatal conductance of CO<sub>2</sub> and <em>J</em>, despite higher basal electron transport thermal stability: <em>T</em><sub>crit</sub> 51 of 45–46.5 °C in non-acclimated versus <em>T</em><sub>crit</sub> of 43.8–45 °C in acclimated leaves. Pre-existing leaves exposed to short-term nocturnal warming (5–7 nights) showed no change in instantaneous temperature responses of <em>A</em><sub>n</sub> and photosynthetic capacity, except for an elite heat-tolerant genotype. These findings can be used to support strategies for developing climate-resilient wheat.</p>
Best of both worlds: Acclimation to fluctuating environments confers advantages and minimizes costs of constant environments
<ol> <li><span>Thermal acclimation is often considered critical in organismal responses to novel thermal conditions. Our understanding of the physiological implications of acclimation is largely derived from lab studies with simplified thermal regimes that fail to account for any variation that animals would experience naturally (i.e. diel variation). As such, constant temperature acclimation experiments may produce a flawed understanding of acclimation in the wild. </span></li> <li><span>To fill this gap, we acclimated lizards (<em>Amphibolurus</em> <em>muricatus</em>) under three thermal regimes (Hot Constant, Cold Constant and Alternating) and compared their physiological responses (Metabolic Rate, Sprint Speed, Thermal Preferences and Thermal Limits). </span></li> <li> <span>We found that animals maintained constantly at hot temperatures (preferred temperature, 35</span>°<span>C) gained sprint performance increases, not seen in those maintained constantly at cold temperatures (20</span>°<span>C), yet suffered costs to growth (in younger animals) and maintenance (mass loss in older animals). Animals maintained at alternating temperatures (12 hr 20</span>°<span>C; 12 hr 35</span>°<span>C) had performance benefits matching animals in the hot treatment, without experiencing reductions in juvenile growth and adult mass. </span> </li> <li><span>Animals acclimated under hot temperatures showed a significant lower preferred and voluntary maximum temperatures compared to animals acclimated under a cold temperature regime. </span></li> <li><span>We found no impact of acclimation treatment on behavioural thermal limits or Standard Metabolic Rate. </span></li> </ol> <p><span>Overall, we show that alternating between access to preferred temperatures and having periods of energetic rest confer the greatest benefits for our animals. These results highlight the importance of natural body temperature variation for enhancing overall ectotherm performance and physiology, and the costs of novel thermal environments that fail to provide this variation.</span><span><br></span></p>
Maritime entities of geographic transportation network of Acclimate
<p>maritime_entities.csv: Centroids of maritime entities and coordination of ports used by geographic transportation network of Acclimate</p> <p>XYZ_coordinates.csv: Polygon coordinates of maritime entites XYZ of the East Asian maritime trading route. Used to compute time tropical cyclone passed by based on observed trajectories from IBTrACS [http://ibtracs.unca.edu/]</p>
Data for Sentis et al. Short-term thermal acclimation modulates predator functional response
<p>Data from the study Short-term thermal acclimation modulates predator functional response by Arnaud Sentis, Lukas Veselý, Marek Let, Martin Musil, Viktoriia Malinovska and Antonín Kouba. <br> The data represent the number of prey eaten for different initial prey densities, temperatures and acclimation times.<br> The first column "temperature" represents the experimental temperature.<br> The second column "acl.time" represents the duration of acclimation at each of the experimental temperature before the predation trials<br> The third column "PreyDensity" represents the initial prey density at the begining of the predation trial<br> The column "alive indiv." represents the number of prey alive at the end of the predation trial<br> The column "dead indiv." represents the number of prey dead but not eaten at the end of the predation trial<br> The column "indiv. into pieces" represents the number of dead prey with visible attack marks at the end of the predation trial<br> The column "PreyEaten" represents the number of prey eaten at the end of the predation trial<br> The column "PreyEatenNCM" represents the number of prey eaten and killed but not eaten at the end of the predation trial</p> <p>Each row represents a single observation (i.e. predation trial). <br> Predators and prey were used only once.</p>
Data from: Divergent physiological acclimation responses to warming between two co-occurring salamander species and implications for terrestrial survival
<p>Small differences in physiological responses are known to influence demographic rates such as survival. We tested for differences in the physiological acclimation responses of two closely-related salamander species that often co-occur, <em>Ambystoma maculatum </em>and <em>A. opacum</em>. Specifically, we measured changes in critical thermal maxima (CT<sub>max</sub>), standard metabolic rates (SMRs), and respiratory surface area water loss (RSAWL) following exposure to three temperature treatments under laboratory conditions. While the magnitude of RSAWL and CT<sub>max</sub><em> </em>acclimation responses to warming did not differ between the study species, SMR was maintained across acclimation temperatures among <em>A. maculatum, </em>but declined among <em>A. opacum </em>acclimated to warmer temperatures<em>. </em>Metabolic compensation may facilitate maintained <em>A.</em> <em>maculatum </em>activity levels during warm periods following the relatively cool spring breeding season. In contrast, metabolic suppression may allow <em>A. opacum</em> to conserve energy when exposed to surface conditions during fall breeding and nest guarding. We simulated how these different SMR responses would likely alter post-metamorphic survival in our study species using previously collected data representing six weeks under relatively warm seminatural conditions. Our simulation indicated that, following warming and under identical study conditions, metabolic compensation may allow juvenile <em>A. maculatum </em>to maintain survival likelihoods, whereas metabolic depression may cause juvenile <em>A. opacum </em>to experience increased survivorship. These findings underscore that comparable physiological responses among ecologically similar, sympatric species cannot be assumed. Further, results of this study suggest that metabolic responses may play an important role in amphibian species persistence as temperatures increase due to habitat modification and climate change.</p>
Fig. 3 in Acclimation of juvenile Mugil liza Valenciennes, 1836 (Mugiliformes: Mugilidae) to different environmental salinities
Fig. 3. Liver glycogen content in juveniles of the Lebranche mullet Mugil liza maintained at different salinities for 15 days. Values are expressed as mean ± standard error (n = 6). Data were fitted using non-linear regression analysis (polynomial; quadratic).
Fig. 5 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 5. Xc-HSC70 mRNA expression profiles induced by cold (−7 to 5 °C) and heat (37 to 47 °C) in 2nd, 3rd, 4th, 5th, and 6th instars and pupae of Xestia cnigrum. The relative quantities indicate the levels of the HSC70 gene transcript normalized against transcript levels of β-actin as an internal standard and compared with the transcript levels of the untreated control at 25 °C. An asterisk indicates a significant difference between the control and heat shock conditions (significant, * P <0.05). The data are denoted as the mean ± SEM (error bar).
Fig. 7 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 7. Expression levels of 2 HSP70s at different developmental stages relative to expression levels in 2nd instars at 25 °C. The data are denoted as the mean ± SEM (error bar), and the different lowercase or uppercase letters indicate a significant differenwce in the means as assessed using multi-comparison tests (P <0.05).
Fig. 4 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 4. Phylogenetic tree of Xc-HSC70 and Xc-HSP70 amino acid sequences from different species. A 3-letter code has been included to indicate the order name of the corresponding insect and vertebrate orders (COL = Coleoptera, LEP = Lepidoptera, DIP = Diptera, HYM = Hymenoptera, and VER =Vertebrata). The values indicated on the branches correspond to bootstrap percentages (BP).
Fig. 3 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 3. Schematic structure of the Xc-HSC70 gene. Exons are shown as boxes in which white boxes represent untranslated regions, whereas the black boxes are the protein-coding exons; introns are indicated as lines between the boxes. The numbers above and below the drawing represent the sizes (base pairs) of each exon and intron, respectively. The start codon (ATG) and stop codon (TAA) are also indicated. The genomic DNA sequence of Xc-HSC70 has been deposited in GenBank under accession no. KF731994.
Fig. 2 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 2. Nucleotide and deduced amino acid sequences of the Xc-HSP70 gene. The signature sequences of the HSP70 family are shown in boxes, the nuclear localization signal sequence is underlined, the consensus sequence EEVD at the C-terminus is indicated in italics, and the start and stop codons are in bold. The nucleotides and amino acids are numbered along the lef and right margins. The sequence encoding Xc-HSP70 has been deposited in GenBank under accession no. HQ698836.
Fig. 1 in Expression profile of two HSP70 chaperone proteins in response to extreme thermal acclimation in Xestia c-nigrum (Lepidoptera: Noctuidae)
Fig. 1. Nucleotide and deduced amino acid sequences of Xc-HSC70. The signature sequences of the HSP70 family are shown in boxes, the nuclear localization signal sequence is underlined, the consensus sequence EEVD at the C-terminus is indicated in italics, and the start and stop codons are in bold. The nucleotides and amino acids are numbered along the lef and right margins. The sequence encoding Xc-HSC70 has been deposited in GenBank under accession no. KC844151.
Fig. 3 in Effects of cold-acclimation, pathogen infection, and varying temperatures on insecticide susceptibility, feeding, and detoxifying enzyme levels in Diaphorina citri (Hemiptera: Liviidae)
Fig. 3. Correlations between mean percentage mortality of Diaphorina citri and temperature for field-collected and uninfected D. citri and field-collected and 'Candidatus' Liberibacter asiaticus–infected D. citri, when exposed to chlorpyriphos (A), fenpropathrin (B), imidacloprid (C), thiamethoxam (D), and spinetoram (E).
Fig. 1 in Effects of cold-acclimation, pathogen infection, and varying temperatures on insecticide susceptibility, feeding, and detoxifying enzyme levels in Diaphorina citri (Hemiptera: Liviidae)
Fig. 1. Comparison of cytochrome P450 (A), general esterase (B), and glutathione S-transferase (C) activity levels in laboratory susceptible Diaphorina citri adults at 5 temperatures. For glutathione S-transferase, means with the same uppercase letters are not significantly different from one another for imidacloprid-treated D. citri. Means with the same lowercase letters are not significantly different from one another for spinetoram-treated D. citri.
Fig. 2 in Quantifying insect predation in laboratory arenas: the effect of prey acclimation
Fig. 2. Behavioral responses of Orgyia leucostigma caterpillars that acclimated on the plant for less than 20 min (20 min), from 20 to <40 min (40 min), and from 40 to 60 min (60 min) to the attacks of Polistes fuscatus wasps. *P <0.05; ns: P> 0.05. No response = caterpillars that did not respond to predators by dropping. Drop = caterpillars that dropped from the leaf in response to the predator.
Fig. 1 in Quantifying insect predation in laboratory arenas: the effect of prey acclimation
Fig. 1. The mortality of Orgyia leucostigma caterpillars that acclimated on the plant for less than 20 min (20 min), from 20 to <40 min (40 min), and from 40 to 60 min (60 min) before exposure to Polistes fuscatus wasps. Treatments with the same letter are not significantly different (P> 0.05).
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.