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21 results for “selective mortality”

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dryad36/100

Size-selective mortality induces evolutionary changes in group risk-taking behavior and the circadian system in a fish

<p>1. Intensive and trait-selective mortality of fish and wildlife can cause evolutionary changes in a range of life-history and behavioral traits. These changes might in turn alter the circadian system due to coevolutionary mechanisms or correlated selection responses both at behavioral and molecular levels, with knock-on effects on daily physiological processes and behavioral outputs.</p> <p>2. We examined the evolutionary impact of size-selective harvesting on group risk-taking behavior and the circadian system in a model fish species. We exposed zebrafish (<em>Danio rerio</em>) to either large or small size-selective harvesting relative to a control over five generations, followed by eight generations during which harvesting halted to remove maternal effects.</p> <p>3. Size-selective mortality affected fine-scale timing of behaviors. In particular, small size-selective mortality, typical of specialized fisheries and gape-limited predators targeting smaller size classes, increased group risk-taking behavior during feeding and after simulated predator attacks. Moreover, small size-selective mortality increased early peaks of daily activity as well as extended self-feeding daily activity to the photophase compared to controls. By contrast large size-selective mortality, typical of most wild capture fisheries, only showed an almost significant effect of decreasing group risk-taking behavior during the habituation phase and no clear changes in fine-scale timing of daily behavioral rhythms compared to controls.</p> <p>4. We also found changes in the molecular circadian core clockwork in response to both size selective mortality treatments. These changes disappeared in the clock output pathway because both size-selected lines showed similar transcription profiles. This switch downstream to the molecular circadian core clockwork also resulted in similar overall behavioral rhythms (diurnal swimming and self-feeding in the last hours of darkness) independent of the underlying molecular clock.</p> <p>5. To conclude, our experimental harvest left an asymmetrical evolutionary legacy in group risk-taking behavior and in fine-scale daily behavioral rhythms. Yet, the overall timing of activity showed evolutionary resistance probably maintained by a molecular switch. Our experimental findings suggest that size-selective mortality can have consequences for behavior and physiological processes.</p>

opencc-zeroOct 2020View details →
zenodo36/100

A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk

<p>This repository contains code and data to reproduce results from the manuscript 'A Functional Response in Resource Selection Links Multi-Scale Responses of a Large Carnivore to Human Mortality Risk'.&nbsp;</p>

opencc-by-4.0Nov 2024View details →
dryad36/100

Evidence for rapid downward fecundity selection in an ectoparasite (Philornis downsi) with earlier host mortality in Darwin’s finches

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publicJan 2020View details →
dryad36/100

Code for: Juvenile mortality and sibling replacement: A kin selection approach

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publicOct 2024View details →
dryad36/100

Size-selective mortality induces evolutionary changes in group risk-taking behavior and the circadian system in a fish

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publicOct 2020View details →
dryad32/100

Dataset and scripts from: Predicting temperature mortality and selection in natural Drosophila populations

<p>The study develops and validates a theoretical model to predict thermal mortality under natural conditions, based on measurements of mortality performed in the laboratory at multiple constant temperatures. The theoretical model first fits a thermal tolerance landscape, which describes how survival probability is affected by both temperature and exposure time, to the empirical measurements of mortality obtained in the laboratory under controlled conditions. Then, employing a numerical approximation to the analytical solution based on differential calculus, it combines this tolerance landscape with ambient temperature records in natural settings to predict the survival probability curve under these thermal conditions. These predictions were validated by contrasting predicted and observed mortality curves in 11 Drosophila species under three different warming rates, reported in the literature, which were virtually indistinguishable. Having validated the model, the study then examines how mortality should be affected by climate change in a natural population of Drosophila subobscura from Santiago, Chile, employing temperature records for this location during 1984 - 1991 and 2014 - 2018. The cumulative mortality predicted from temperature records closely resemble the periods of population collapse recorded for this population during the Austral summer and, according to the model, warming temperatures in the past 30 years may have advanced this period by almost a month. This methodology is highly general and can in principle be employed to predict temperature mortality in small ectotherms under any varying thermal regime.  </p>

opencc-zeroAug 2020View details →
dryad32/100

Data from: Nonconsumptive predator-driven mortality causes natural selection on prey

Predators frequently exert natural selection through differential consumption of their prey. However, predators may also cause prey mortality through nonconsumptive effects, which could cause selection if different prey phenotypes are differentially susceptible to this nonconsumptive mortality. Here we present an experimental test of this hypothesis, which reveals that nonconsumptive mortality imposed by predatory dragonflies causes selection on their damselfly prey favoring increased activity levels. These results are consistent with other studies of predator-driven selection, however, they reveal that consumption alone is not the only mechanism by which predators can exert selection on prey. Uncovering this mechanism also suggests that prey defensive traits may represent adaptations to not only avoid being consumed, but also for dealing with other sources of mortality caused by predators. Demonstrating selection through both consumptive and nonconsumptive predator mortality provides us with insight into the diverse effects of predators as an evolutionary force.

opencc-zeroDec 2012View details →
dryad32/100

Data from: Evolutionary impact of size-selective harvesting on shoaling behavior: Individual-level mechanisms and possible consequences for natural and fishing mortality

<p>Intensive and size-selective harvesting is an evolutionary driver of life-history as well as individual behavioral traits. Yet, whether and to what degree harvesting modifies the collective behavior of exploited species is largely unknown. We present a multi-generation harvest selection experiment with zebrafish (<em>Danio rerio)</em> as a model species to understand the effects of size-selective harvesting on shoaling behavior. The experimental system is based on a large-harvested (typical of most wild capture fisheries targeting larger size classes) and small-harvested (typical of specialized fisheries and gape-limited predators targeting smaller size classes) selection lines. By combining high resolution tracking of fish behavior with computational agent-based modeling we show that shoal cohesion changed in the direction expected by a trade-off between individual vigilance and the use of social cues. In particular, we document a decrease of individual vigilance in the small-harvested line, which was linked to an increase in the attention to social cues, favoring more cohesive shoals. Opposing outcomes were found for the large-harvested line, which formed less cohesive shoals. Using the agent-based model we outline possible consequences of changes in shoaling behavior for both fishing and natural mortality. The changes in shoaling induced by large size-selective harvesting may decrease fishing mortality, but increase mortality by natural predators. Our work suggests an insofar overlooked evolutionary mechanism by which size-selective harvesting can affect fishing and natural mortality of exploited fish.</p>

opencc-zeroNov 2021View details →
dryad32/100

Mutation, selection, and the prevalence of the C. elegans heat-sensitive mortal germline phenotype

<p><em>C. elegans</em> strains with the heat-sensitive mortal germline (Mrt) phenotype become progressively sterile over the course of a few tens of generations when maintained at temperatures near the upper range of <em>C. elegans'</em> tolerance. Mrt is transgenerationally-heritable, and proximately under epigenetic control. Previous studies have suggested that Mrt presents a relatively large mutational target, and that Mrt is not uncommon in natural populations of <em>C. elegans</em>. The Mrt phenotype is not monolithic. Some strains exhibit a strong Mrt phenotype, in which individuals invariably become sterile over a few generations, whereas other strains show a weaker (less penetrant) phenotype in which the onset of sterility is slower and more stochastic. We present results in which we (1) quantify the rate of mutation to the Mrt phenotype, and (2) quantify the frequency of Mrt in a collection of 95 wild isolates. Over the course of ~16,000 meioses, we detected one mutation to a strong Mrt phenotype, resulting in a point estimate of the mutation rate U<em><sub>Mrt</sub></em>≈ 6 10<sup>-5</sup>/genome/generation. We detected no mutations to a weak Mrt phenotype. 6/95 wild isolates have a strong Mrt phenotype, and although quantification of the weak Mrt phenotype is inexact, the weak Mrt phenotype is not rare in nature. We estimate a strength of selection against mutations conferring the strong Mrt phenotype ≈0.1%, similar to selection against mutations affecting competitive fitness. The appreciable frequency of weak Mrt variants in nature combined with the low mutation rate suggests that Mrt may be maintained by balancing selection.</p>

opencc-zeroApr 2022View details →
ClinicalTrials.gov32/100

The Investigation of Predicting Mortality and Morbidity in Patients Admitted to Intensive Care Unit With Thoracic Trauma Using Selected Biomarkers and Parameters

ClinicalTrials.gov study NCT06930222. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Measuring viability selection from prospective cohort mortality studies: a case study in Maritime pine

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publicOct 2018View details →
dryad32/100

Mutation, selection, and the prevalence of the C. elegans heat-sensitive mortal germline phenotype

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publicApr 2022View details →
dryad32/100

Data from: Nonconsumptive predator-driven mortality causes natural selection on prey

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publicOct 2013View details →
dryad32/100

Data from: Detecting genotypic changes associated with selective mortality at sea in Atlantic salmon: polygenic multi-locus analysis surpasses genome scan

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publicMay 2014View details →
dryad32/100

Data from: Validity of inferring size-selective mortality and a critical size limit in Pacific salmon from scale circulus spacing

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publicJun 2019View details →
dryad32/100

Dataset and scripts from: Predicting temperature mortality and selection in natural Drosophila populations

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publicAug 2020View details →
dryad32/100

Data from: Evolutionary impact of size-selective harvesting on shoaling behavior: Individual-level mechanisms and possible consequences for natural and fishing mortality

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publicNov 2021View details →
dryad28/100

Data from: Sexual selection has minimal impact on effective population sizes in species with high rates of random offspring mortality: an empirical demonstration using fitness distributions

The effective population size (Ne) is a fundamental parameter in population genetics that influences the rate of loss of genetic diversity. Sexual selection has the potential to reduce Ne by causing the sex-specific distributions of individuals that successfully reproduce to diverge. To empirically estimate the effect of sexual selection on Ne, we obtained fitness distributions for males and females from an outbred, laboratory-adapted population of Drosophila melanogaster. We observed strong sexual selection in this population (the variance in male reproductive success was ∼14 times higher than that for females), but found that sexual selection had only a modest effect on Ne, which was 75% of the census size. This occurs because the substantial random offspring mortality in this population diminishes the effects of sexual selection on Ne, a result that necessarily applies to other high fecundity species. The inclusion of this random offspring mortality creates a scaling effect that reduces the variance/mean ratios for male and female reproductive success and causes them to converge. Our results demonstrate that measuring reproductive success without considering offspring mortality can underestimate Ne and overestimate the genetic consequences of sexual selection. Similarly, comparing genetic diversity among different genomic components may fail to detect strong sexual selection.

opencc-zeroDec 2014View details →
zenodo28/100

Table ²: Percentage of contribution of the selected variables for habitat suitability modeling for the striped hyaena in Batna, Algeria. in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

<p><b>Table &sup2;:</b> Percentage of contribution of the selected variables for habitat suitability modeling for the striped hyaena in Batna, Algeria.</p><table><tbody><tr><th>Environmental variables</th><th>Contribution to prediction capacity (%)</th></tr></tbody><tbody><tr><th>Shrubland</th><td>37.5</td></tr><tr><th>Slope</th><td>30.2</td></tr><tr><th>Built-up areas</th><td>12</td></tr><tr><th>Distance to roads</th><td>7.9</td></tr><tr><th>DEM</th><td>5.2</td></tr><tr><th>BIO3 (isothermality)</th><td>4.9</td></tr><tr><th>Distance to waterbodies</th><td>2.3</td></tr></tbody></table>

opennotspecifiedMay 2024View details →
dryad28/100

Data from: Altered trait variability in response to size-selective mortality

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publicSep 2016View details →

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