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118 results for “Environmental selection”

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dryad32/100

Data from: Environmental coupling of heritability and selection is rare and of minor evolutionary significance in wild populations

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publicJun 2018View details →
dryad32/100

Data from: Environmental DNA metabarcoding studies are critically affected by substrate selection

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publicNov 2018View details →
dryad32/100

Data from: Fine-scale genetic structure in a wild bird population: the role of limited dispersal and environmentally-based selection as causal factors

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publicMar 2013View details →
dryad32/100

Data from: What determines prey selection in owls? Roles of prey traits, prey class, environmental variables, and taxonomic specialization

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publicFeb 2019View details →
dryad32/100

Data from: Environmental selection is a main driver of divergence in house sparrows (Passer domesticus) in Romania and Bulgaria

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publicOct 2016View details →
dryad32/100

Data from: Scans for signatures of selection in Russian cattle breed genomes reveal new candidate genes for environmental adaptation and acclimation

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publicAug 2019View details →
dryad32/100

Data from: Signals of selection in outlier loci in a widely dispersing species across an environmental mosaic

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publicApr 2013View details →
dryad32/100

Data from: Does genetic variation maintained by environmental heterogeneity facilitate adaptation to novel selection?

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publicMar 2016View details →
dryad32/100

Data from: Genome-wide analyses suggest parallel selection for universal traits may eclipse local environmental selection in a highly mobile carnivore

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publicSep 2016View details →
dryad32/100

Data from: Multifarious selection through environmental change: acidity and predator-mediated adaptive divergence in the moor frog (Rana arvalis)

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publicJan 2015View details →
dryad32/100

Data from: The population genomic signature of environmental selection in the widespread insect-pollinated tree species Frangula alnus at different geographical scales

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publicMar 2015View details →
dryad32/100

Data from: What are the environmental determinants of phenotypic selection? A meta-analysis of experimental studies

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publicApr 2017View details →
dryad32/100

Data from: Genome analysis reveals genetic admixture and signature of selection for productivity and environmental traits in Iraqi cattle

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publicApr 2019View details →
dryad32/100

Data from: Divergent natural selection with gene flow along major environmental gradients in Amazonia: insights from genome scans, population genetics and phylogeography of the characin fish Triportheus albus

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publicAug 2015View details →
dryad32/100

Data from: Signatures of selection and environmental adaptation across the goat genome post-domestication

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publicNov 2020View details →
dryad32/100

Data and scripts from: Experimental evidence of size-selective harvest and environmental stochasticity effects on population demography, fluctuations, and nonlinearity

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publicJan 2023View details →
dryad28/100

Data from: Environmental stress does not increase the mean strength of selection

A common intuition among evolutionary biologists and ecologists is that environmental stress will increase the strength of selection against deleterious alleles and among alternate genotypes. However, the strength of selection is determined by the relative fitness differences among genotypes, and there is no theoretical reason why these differences should be exaggerated as mean fitness decreases. We update a recent review of the empirical results pertaining to environmental stress and the strength of selection and find that there is no overall trend towards increased selection under stress. The majority of past studies measure the strength of selection by quantifying the decrease in fitness imposed by single or multiple mutations in different environments. However, selection rarely acts on one locus independently, and the strength of selection will be determined by variation across the whole genome. We used 20 inbred lines of Drosophila melanogaster to make repeated fitness measurements of the same genotypes in four different environments. This framework allowed us to determine the variation in fitness attributable to genotype across stressful environments and to calculate the opportunity for selection among these genotypes in each stress. While we found significant decreases in mean fitness in our stressful environments, we did not find any significant differences in the strength of selection among any of the four measured environments. Therefore, in agreement with our updated review, we find no evidence for the oft-cited verbal model that stress increases the strength of selection.

opencc-zeroDec 2017View details →
dryad28/100

Data from: The effect of selection history on extinction risk during severe environmental change

Environments rarely remain the same over time, and populations are therefore frequently at risk of going extinct when changes are significant enough to reduce fitness. While many studies have investigated what attributes of the new environments and of the populations experiencing these changes will affect their probability of going extinct, limited work has been directed toward determining the role of population history on the probability of going extinct during severe environmental change. Here we compare the extinction risk of populations with a history of selection in a benign environment, to populations with a history of selection in one or two stressful environments. We exposed spores and lines of the green alga Chlamydomonas reinhardtii from these three different histories to a range of severe environmental changes. We found that the extinction risk was higher for populations with a history of selection in stressful environments compared to populations with a history of selection in a benign environment. This effect was not due to differences in initial population sizes. Finally, the rates of extinction were highly repeatable within histories, indicating strong historical contingency of extinction risk. Hence, information on the selection history of a population can be used to predict their probability of going extinct during environmental change.

opencc-zeroDec 2016View details →
dryad28/100

Data from: Genetic ancestry and population differences in levels of inflammatory cytokines in women: role for evolutionary selection and environmental factors

Background: Selection pressure due to exposure to infectious pathogens endemic to Africa may explain distinct genetic variations in immune response genes. However, the impact of those genetic variations on human immunity remains understudied, especially within the context of modern lifestyles and living environments, which are drastically different from early humans in sub Saharan Africa. There are few data on population differences in constitutional immune environment, where genetic ancestry and environment are likely two primary sources of variation. Methods and Findings: In a study integrating genetic, molecular and epidemiological data, we examined population differences in plasma levels of 14 cytokines involved in innate and adaptive immunity, including those implicated in chronic inflammation, and possible contributing factors to such differences, in 914 AA and 855 EA women. We observed significant differences in 7 cytokines, including higher plasma levels of CCL2, CCL11, IL4 and IL10 in EAs and higher levels of IL1RA and IFNα2 in AAs. Analyses of a wide range of demographic and lifestyle factors showed significant impact, with age, education level, obesity, smoking, and alcohol intake, accounting for some, but not all, observed population differences for the cytokines examined. Levels of two pro-inflammatory chemokines, CCL2 and CCL11, were strongly associated with percent of African ancestry among AAs. The signal was pinpointed through admixture mapping to local ancestry at 1q23, with fine-mapping analysis refined to the Duffy-null allele of rs2814778. In AA women, this variant was a major determinant of systemic levels of CCL2 (p=1.1e-58) and CCL11 (p=2.2e-110), accounting for 19% and 40% of the phenotypic variance, respectively. Conclusion: Our data reveal strong ancestral footprints in inflammatory chemokine regulation. The Duffy-null allele may indicate a loss of the buffering function for chemokine levels. The substantial immune differences by ancestry may have broad implications to health disparities between AA and EA populations.

opencc-zeroMay 2019View details →
dryad28/100

Data from: Directional selection reduces developmental canalization against genetic and environmental perturbations in Drosophila wings

Natural selection may enhance or weaken the robustness of phenotypes against genetic or environmental perturbations. However, important aspects of the relationship between adaptive evolution and canalization remain unclear. Recent work showed that the evolution of larger wing size in a high altitude natural population of Drosophila melanogaster was accompanied by decanalized wing development – specifically a loss of robustness to genetic perturbation. But this study did not address environmental robustness, and it compared populations that may have numerous biological differences. Here, we perform artificial selection on this same trait in D. melanogaster (larger wing length) and directly test whether this directional selection resulted in decanalization. We find that in general, size-selected replicates show greater frequencies of wing defects than control replicates both after mutagenesis (genetic perturbation) and when subjected to high temperature stress (environmental perturbation), although the increase in defect frequency varies importantly among replicates. These results support the hypothesis that directional selection may result in the loss of both genetic and environmental robustness – offering a rare window into the relationship between adaptation and canalization.

opencc-zeroDec 2017View details →

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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.

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