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76 results for “unpredictability”
Data from: Anthropogenic transport of species across native ranges: unpredictable genetic and evolutionary consequences
Human activities are responsible for the translocation of vast amounts of organisms, altering natural patterns of dispersal and gene flow. Most research to date has focused on the consequences of anthropogenic transportation of non-indigenous species within introduced ranges, with little research focusing on native species. Here, we compared genetic patterns of the sessile marine invertebrate, Ciona intestinalis, which has highly restricted dispersal capabilities. We collected individuals in a region of the species' native range where human activities that are known to facilitate the artificial spread of species are prevalent. Using microsatellite markers, we revealed highly dissimilar outcomes. First, we found low levels of genetic differentiation among sites separated by both short and large geographical distances, indicating the presence of anthropogenic transport of genotypes, and little influence of natural geographical barriers. Second, we found significant genetic differentiation in pairwise comparisons among certain sites, suggesting that other factors besides artificial transport (e.g. natural dispersal, premodern population structure) may be shaping genetic patterns. Taken together, we found dissimilar patterns of population structure in a highly urbanized region that could not be predicted by artificial transport alone. We conclude that anthropogenic activities alter genetic composition of native ranges, with unknown consequences for species' evolutionary trajectories.
Data from: Sex-specific fitness effects of unpredictable early life conditions are associated with DNA methylation in the avian glucocorticoid receptor
Organisms can adapt to variable environments by using environmental cues to modulate developmental gene expression. In principle, maternal influences can adaptively adjust offspring phenotype when early life and adult environments match, but they may be maladaptive when future environments are not predictable. One of the best-studied 'maternal effects' is through modification of the offspring's hypothalamic–pituitary–adrenal (HPA) axis, the neuroendocrine system that controls responses to stress. In addition to the direct transfer of glucocorticoids from mother to offspring, offspring HPA function and other phenotypes can also be affected by epigenetic modifications like DNA methylation of the glucocorticoid receptor promoter. Here we examine how among-year variation in rainfall is related to DNA methylation during development and fitness in adulthood in the superb starling (Lamprotornis superbus), which lives in a climatically unpredictable environment where early life and adult environments are unlikely to match. We found that DNA methylation in the putative promoter of the glucocorticoid receptor gene is reduced in chicks – particularly in males – born following drier prebreeding periods. Additionally, DNA methylation is lower in males that become breeders than those that never breed. However, there is no relationship in females between DNA methylation and the likelihood of dispersing from the natal group to breed elsewhere. These results suggest that early life conditions may positively affect fitness in a sex-specific manner through chemical modification of an HPA-associated gene. This study is the first to show that epigenetic modifications during early life may influence the fitness of free-living organisms adapted to unpredictable environments.
Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al's meta-analysis
<p>The research that created this data is described in:</p> <ul> <li>Duggan M and Tressoldi P. Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al’s meta-analysis [version 2; referees: 2 approved]. F1000Research 2018, 7:407 (https://doi.org/10.12688/f1000research.14330.2)</li> </ul> <p>Two files are included:</p> <ul> <li>MA_PPAA_Final.xlsx - Database</li> <li>Code.pdf - Code</li> </ul>
Data and code: Unpredictable soil conditions can affect the prevalence of a microbial symbiosis
<p>Contains code and data for the publication Unpredictable soil conditions can affect the prevalence of a microbial symbiosis in PeerJ. Check the paper and README for more information.</p>
Effect of Mindfulness Meditation on Physiological Response to Unpredictable Stimuli
ClinicalTrials.gov study NCT03206437. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Anthropogenic transport of species across native ranges: unpredictable genetic and evolutionary consequences
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Data from: Sex-specific fitness effects of unpredictable early life conditions are associated with DNA methylation in the avian glucocorticoid receptor
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Data from: Adaptation in response to environmental unpredictability
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Data from: Reproductive performance of a tropical apex predator in an unpredictable habitat
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Data from: Unpredictable aggressive defense of the venomous snake, Crotalus ravus, towards predators and humans
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Data from: Genetic diversity is largely unpredictable but scales with museum occurrences in a species-rich clade of Australian lizards
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Data from:Unpredictable warm spells in winter increase blood cortisol level but lengthen telomeres in a seasonal rodent Phodopus sungorus
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Data from: Extent of adaptation is not limited by unpredictability of the environment in laboratory populations of Escherichia coli
Environmental variability is on the rise in different parts of the earth and the survival of many species depend on how well they cope with these fluctuations. Our current understanding of how organisms adapt to unpredictably fluctuating environments is almost entirely based on studies that investigate fluctuations among different values of a single environmental stressor like temperature or pH. How would unpredictability affect adaptation when the environment fluctuates between qualitatively very different kinds of stresses? To answer this question, we subjected laboratory populations of Escherichia coli to selection over ~260 generations. The populations faced predictable and unpredictable environmental fluctuations across qualitatively different selection environments, namely, salt and acidic pH. We show that predictability of environmental fluctuations does not play a role in determining the extent of adaptation, although the extent of ancestral adaptation to the chosen selection environments is of key importance. This is good news given that the unpredictability of environmental fluctuations all over the world is on the rise.
Data from: Unpredictable perturbation reduces breeding propensity regardless of pre-laying reproductive readiness in a partial capital breeder
Theoretically, individuals of migratory species should optimize reproductive investment based on a combination of timing of and body condition at arrival on the breeding grounds. A minimum threshold body mass is required to initiate reproduction, and the timing of reaching this threshold is critical because of the trade-off between delaying breeding to gain in condition against the declining value of offspring with later reproductive timing. Long-lived species have the flexibility within their life history to skip reproduction in a given year if they are unable to achieve this theoretical mass threshold. Although the decision to breed or not is an important parameter influencing population dynamics, the mechanisms underlying this decision are poorly understood. Here, we mimicked an unpredictable environmental perturbation that induced a reduction in body mass of Arctic pre-breeding (before the laying period) female common eiders (Somateria mollissima; a long-lived migratory seaduck) while controlling for individual variation in the pre-laying physiological reproductive readiness via vitellogenin (VTG) - a yolk-targeted lipoprotein. Our aim was to causally determine the interaction between body condition and pre-laying reproductive readiness (VTG) on breeding propensity by experimentally reducing body mass in treatment females. We first demonstrated that arrival body condition was a key driver of breeding propensity. Secondly, we found treatment and VTG levels interacted to influence breeding propensity, indicating that our experimental manipulation, mimicking an unpredictable food shortage, reduced breeding propensity, regardless of the degree of pre-laying physiological reproductive readiness (i.e., timing of ovarian follicles recruitment). Our experiment demonstrates that momentary environmental perturbations during the pre-breeding period can strongly affect the decision to breed, a key parameter driving population dynamics.
Data from: Escherichia coli populations adapt to complex, unpredictable fluctuations by minimizing trade-offs across environments
In nature, organisms are simultaneously exposed to multiple stresses (i.e. complex environments) that often fluctuate unpredictably. Although both these factors have been studied in isolation, the interaction of the two remains poorly explored. To address this issue, we selected laboratory populations of Escherichia coli under complex (i.e. stressful combinations of pH, H2O2 and NaCl) unpredictably fluctuating environments for ~900 generations. We compared the growth rates and the corresponding trade-off patterns of these populations to those that were selected under constant values of the component stresses (i.e. pH, H2O2 and NaCl) for the same duration. The fluctuation-selected populations had greater mean growth rate and lower variation for growth rate over all the selection environments experienced. However, whereas the populations selected under constant stresses experienced trade-offs in the environments other than those in which they were selected, the fluctuation-selected populations could bypass the across-environment trade-offs almost entirely. Interestingly, trade-offs were found between growth rates and carrying capacities. The results suggest that complexity and fluctuations can strongly affect the underlying trade-off structure in evolving populations.
Data from: Moving in groups: how density and unpredictable motion affect predation risk
One of the most widely applicable benefits of aggregation is a per capita reduction in predation risk. Many factors can contribute to this but, for moving groups, an increased difficulty in tracking and targeting one individual amongst many has received particular attention. This "confusion effect" has been proposed to result from a bottleneck in information processing, a hypothesis supported by both modelling and experiment. If the competition for limited attention is localised to the particular part of the visual field where the target is located, prey density is likely to be the key factor rather than group numbers per se. Furthermore, unpredictability of prey movement may enhance confusion, but both factors have received insufficient attention from empiricists: undoubtedly because of the difficulty of experimental manipulation in natural systems. We used a computer-based target tracking task with human subjects to manipulate effects of number and density independently, in factorial combination with motion path predictability. Density, rather than number, drove the confusion effect in our experiment and acted synergistically with the unpredictability of the direction of motion. The experimental paradigm we present offers the potential for isolating other factors affecting predation success on group-living prey, and forging links with the psychological literature on object tracking and visual search.
Data from: Predictable males and unpredictable females: repeatability of sociability in eastern water dragons
There is growing evidence for consistent among-individual variation in individual sociability (e.g., tendency to be sociable) in a number of species. However, sexes often differ in their social behaviors, as well as the selection pressures which they experience. This may translate into differences in repeatability of sociability, although this has not yet been tested. Here, we investigated whether eastern water dragons (Intellegama leseurii) exhibited evidence of consistent among-individual variation (i.e., repeatability) in 4 different measurements of sociability. Specifically, we measured sociability in 4 ways (degree, centrality, proportion of time spent being social, and number of preferences), and tested whether there was evidence for sex differences in the repeatability of these sociability measurements, or whether observed levels of repeatability could be explained by a stable social environment. Our findings provide new evidence for sex differences in social personality: we found that males were significantly repeatable in 3 of 4 sociability measurements (degree, centrality, and proportion of time spent being social), whereas females were not. Further, we found that these differences were not a result of differences in the dynamics of the social environment. We discuss our findings in the context of sexual selection, as well as sex differences in the evolutionary drivers of social behavior.
Dancing in Unpredictable Times: Cashinahua celebrations for life proliferation and climate change
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Fig. 2. Plots A-B in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 2. Plots A-B. Hypothetical thermal curves of the free-living stages of two parasite populations with different thermal adaptation histories and similar thermal optimum (highest point in the curve). The blue curve represents a population adapted to a highly variable environment and the orange curve a population adapted to a less variable environment. The dashed black line is a hypothetical current mean temperature in the environment and the dashed grey line represents an increased mean temperature as a consequence of climate change. In plot A, the historical temperature sits close to the thermal optimum in both populations, and an increase in temperature results in a decrease in parasite performance, which is greater for the parasite adapted to the less variable environment. In plot B, the historical temperature is well below the thermal optimum of both parasites, and an increase in temperature results in improved performance for both parasites. In both scenarios, an increase in mean temperature causes a much higher relative change in performance in the population from the less variable environment as indicated in the difference in size among the shade areas. Plot C shows the hypothetical temperature and thermal development ranges for the free-living stages of parasites inhabiting three different latitudes. The temperature range increases with latitude but the development range of parasites does not because, although the thermal range in high latitudes is wider, a large portion of this range occurs <0 ◦C. While parasites from high latitudes might be highly resistant to freezing temperatures, they are also more vulnerable to high temperatures. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Adaptations, life-history traits and ecological mechanisms of parasites to survive extremes and environmental unpredictability in the face of climate change
Fig. 1. Schematic of two types of life cycles of parasitic nematodes highlighting stage-specific interactions with the environment and hosts, and adaptations to cope with extreme environmental conditions: A) direct life cycle and B) specific indirect life cycle of protostrongylid parasites. In red are indicated the developmental stages of the parasite. The performance (e.g., survival rate, development rate) of developmental stages in the orange area is directly influenced by changes in environmental conditions. Developmental stages in light blue area are indirectly influenced by environmental conditions experienced by the definitive or intermediate hosts. The effect of the environment on the L3 of protostrongylids can be direct or indirect depending if the L3 migrates out of the intermediate host (direct) or if the L3 remains in the intermediate host (indirect). In the inner triangles, examples of stage-specific adaptations to cope with extremes are indicated. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
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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.