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74 results for “reaction norms”
Data from: In absence of local adaptation, plasticity and spatially varying selection rule: a view from genomic reaction norms in a panmictic species (Anguilla rostrata)
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Data from: Experimental evolution of phytoplankton fatty acid thermal reaction norms
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Data from: Climate and habitat interacts to shape the thermal reaction norms of breeding phenology across lizard populations
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Data from: probing variation in reaction norms in wild populations: the importance of reliable environmental proxies
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Modeling phenological reaction norms over an elevational gradient reveals contrasting strategies of Dusky Flycatchers and Mountain Chickadees in response to early season temperatures
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Data from: Within-family parent-offspring co-adaptation in a wild bird: on static traits, behavioural reaction norms and sex differences
Parental care, a central component of reproduction in a wide range of animal species, often involves elaborate behavioural interactions between parents and their offspring. Due to the reciprocal nature of these interactions, it has been hypothesized that parental and offspring behaviours (e.g. parental food provisioning and offspring begging) are not only target but also agent of selection. These traits are therefore expected to co-evolve, ultimately leading to co-adaptation of parent and offspring behaviours within families. However, empirical data on such parent-offspring co-adaptation are limited, particularly for wild populations. Furthermore, mean levels of behaviour (as measured in previous studies) may not adequately describe the dynamic nature of the reciprocal interplay between parents and their offspring, and instead rather the behavioural reaction norms for provisioning and begging may be co-adapted. We applied a large-scale cross-fostering study over 3 consecutive breeding seasons to investigate whether provisioning behaviour of wild blue tit (Cyanistes caeruleus) parents co-varies with the begging behaviour of their genetic, cross-fostered offspring. We simultaneously analysed parent and offspring behaviours, both as static traits (mean levels) and behavioural reaction norms (offspring begging as a function of food deprivation and parental provisioning as a function of short-term experimental changes in brood size). Neither maternal nor paternal provisioning rates co-varied with the begging intensity of their genetic offspring when analysed as mean levels of behaviour. However, the slopes of the reaction norms for provisioning and begging were negatively correlated between male, but not female, parents and their genetic offspring. Thus, fathers that change their provisioning rate strongly with brood size sire offspring whose level of begging only weakly increases with hunger, and vice versa. The observed co-variation suggests the existence of sex-specific optima for parent-offspring trait combinations. Thus, our study not only highlights the importance of a behavioural reaction norm approach when investigating parent-offspring interactions, but also stresses the relevance of considering parents as separate units, at least for biparental species.
Data from: Experimental evolution for generalists and specialists reveals multivariate genetic constraints on thermal reaction norms
Theory predicts the emergence of generalists in variable environments and antagonistic pleiotropy to favour specialists in constant environments, but empirical data seldom support such generalist–specialist trade-offs. We selected for generalists and specialists in the dung fly Sepsis punctum (Diptera: Sepsidae) under conditions that we predicted would reveal antagonistic pleiotropy and multivariate trade-offs underlying thermal reaction norms for juvenile development. We performed replicated laboratory evolution using four treatments: adaptation at a hot (31 °C) or a cold (15 °C) temperature, or under regimes fluctuating between these temperatures, either within or between generations. After 20 generations, we assessed parental effects and genetic responses of thermal reaction norms for three correlated life-history traits: size at maturity, juvenile growth rate and juvenile survival. We find evidence for antagonistic pleiotropy for performance at hot and cold temperatures, and a temperature-mediated trade-off between juvenile survival and size at maturity, suggesting that trade-offs associated with environmental tolerance can arise via intensified evolutionary compromises between genetically correlated traits. However, despite this antagonistic pleiotropy, we found no support for the evolution of increased thermal tolerance breadth at the expense of reduced maximal performance, suggesting low genetic variance in the generalist–specialist dimension.
Data from: Variation in continuous reaction norms: quantifying directions of biological interest
Thermal performance curves are an example of continuous reaction norm curves of common shape. Three modes of variation in these curves-- Vertical shift, horizontal shift, and generalist-specialist tradeoffs-- are of special interest to evolutionary biologists. Since two of these modes are nonlinear, traditional methods such as Principal Component Analysis fail to decompose the variation into biological modes and to quantify the variation associated with each mode. Here we present the results of a new method, Template Mode of Variation (TMV), that decomposes the variation into predetermined modes of variation for a particular set of thermal performance curves. We illustrate the method using data on thermal sensitivity of growth rate in Pieris rapae caterpillars. The TMV model explains 67% of the variation in thermal performance curves among families; generalist-specialist tradeoffs account for 38% of the total between-family variation. The TMV method implemented here is applicable to both differences in mean and patterns of variation, and can be used with either phenotypic or quantitative genetic data for thermal performance curves or other continuous reaction norms that have a template shape with a single maximum. The TMV approach may also apply to growth trajectories, age-specific life history traits and other function-valued traits.
Data from: Evolutionary change in continuous reaction norms
Understanding the evolution of reaction norms remains a major challenge in ecology and evolution. Investigating evolutionary divergence in reaction norm shapes between populations and closely related species is one approach to provide insights. Here we use a meta-analytic approach to compare divergence in reaction norms of closely related species or populations of animals and plants, across types of traits and environments. We quantified mean-standardized differences in overall trait means (Offset) and reaction norm shape (including both Slope and Curvature). These analyses revealed that differences in shape (Slope and Curvature together) were generally greater than differences in Offset. Additionally, differences in Curvature were generally greater than differences in Slope. The type of taxon contrast (species vs. population), trait, organism, and the type and novelty of environments all contributed to the best fitting models, especially for Offset, Curvature and the total differences (Total) between reaction norms. Congeneric species had greater differences in reaction norms than populations, and novel environmental conditions increased the differences in reaction norms between populations or species. These results show that evolutionary divergence of curvature is common and should be considered an important aspect of plasticity together with slope. Biological details about traits and environments, including cryptic variation expressed in novel environmental conditions, may be critical to understanding how reaction norms may evolve in novel and rapidly changing environments.
Data from: Variation in thermal performance and reaction norms among populations of Drosophila melanogaster
The major goal of evolutionary thermal biology is to understand how variation in temperature shapes phenotypic evolution. Comparing thermal reaction norms among populations from different thermal environments allows us to gain insights into the evolutionary mechanisms underlying thermal adaptation. Here, we have examined thermal adaptation in six wild populations of the fruit fly (Drosophila melanogaster) from markedly different natural environments by analyzing thermal reaction norms for fecundity, thorax length, wing area and ovariole number under ecologically realistic fluctuating temperature regimes in the laboratory. Contrary to expectation, we found only minor differences in the thermal optima for fecundity among populations. Differentiation among populations was mainly due to differences in absolute (and partly also relative) thermal fecundity performance. Despite significant variation among populations in the absolute values of morphological traits, we observed only minor differentiation in their reaction norms. Overall, the thermal reaction norms for all traits examined were remarkably similar among different populations. Our results therefore suggest that thermal adaptation in D. melanogaster predominantly involves evolutionary changes in absolute trait values rather than in aspects of thermal reaction norms.
Data from: Dispersal propensity in Tetrahymena thermophila ciliates – a reaction norm perspective
Dispersal and phenotypic plasticity are two main ways for species to deal with rapid changes of their environments. Understanding how genotypes (G), environments (E) and their interaction (genotype and environment; G x E) each affects dispersal propensity is therefore instrumental for predicting the ecological and evolutionary responses of species under global change. Here we used an actively dispersing ciliate to quantify the contributions of G, E, and G x E on dispersal propensity, exposing 44 different genotypes to three different environmental contexts (densities in isogenotype populations). Moreover, we assessed the condition-dependence of dispersal, i.e. whether dispersal is related to morphological, physiological or behavioral traits. We found that genotypes showed marked differences in dispersal propensity and that dispersal is plastically adjusted to density, with the overall trend for genotypes to exhibit negative density-dependent dispersal. A small, but significant G x E interaction indicates genetic variability in plasticity and therefore some potential for dispersal plasticity to evolve. We also show evidence consistent with condition-dependent dispersal suggesting that genotypes also vary in how individual condition is linked to dispersal under different environmental contexts thereby generating complex dispersal behavior due to only three variables (genes, environment, and individual condition).
Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
1. Both juvenile (Ej) and adult (Ea) environment can alter developmental trajectories, independently or interactively (as environment by environment interaction; Ej×Ea), to shape behaviour in later life. However, within a population, the developmental response of behaviours to environments can vary among genotypes (G×E×E, multidimensional behavioural plasticity). 2. Here we use a full-sibling, split-brood experimental design and random regression model to study genetic variation in behavioural plasticity across juvenile/adult density conditions in four behavioural traits of male water striders Tenagogerris euphrosyne: exploration, dispersal, same-sex sexual behaviour and remounting attempts. 3. Our results showed that both juvenile and adult density affected the expression of behaviours, and that there was modest level of genetic variation in all behaviour traits. In contrast, there was little genetic variation in behavioural plasticity across density conditions at different life stages (G×Ej, G×Ea or G×Ej×Ea) observed in all traits other than same-sex sexual behaviour. 4. We suggest that experiences at different life stages can interact to affect behavioural expression, but the magnitude of G×Ej, G×Ea or G×Ej×Ea interactions depends on the specific traits. 5. Lack of genetic variation in multidimensional behavioural plasticity may be due to strong selection across environments, high prevalence of environmental heterogeneity and/or modest genetic variance. 6. Our results highlight the complex ways in which plasticity shapes the behaviours and life-histories of organisms.
Data from: Latitudinal and voltinism compensation shape thermal reaction norms for growth rate
Latitudinal variation in thermal reaction norms of key fitness traits may inform about the response of populations to climate warming, yet their adaptive nature and evolutionary potential is poorly known. We assessed the contribution of quantitative genetic, neutral genetic and environmental effects to thermal reaction norms of growth rate for populations of the damselfly Ischnura elegans. Among populations, reaction norms differed primarily in elevation suggesting that time constraints associated with shorter growth seasons in univoltine, high-latitude as well as multivoltine, low-latitude populations selected for faster growth rates. Phenotypic divergence among populations is consistent with selection rather than drift as QST was greater than FST in all cases. QST estimates increased with experimental temperature and were influenced by genotype by environment interactions. Substantial additive genetic variation for growth rate in all populations suggests that evolution of trait means in different environments is not constrained. Heritability of growth rates was higher at high temperature, driven by increased genetic rather than environmental variance. While environment-specific non-additive effects also may contribute to heritability differences among temperatures, maternal effects did not play a significant role (where these could be accounted for). Genotype by environment interactions strongly influenced the adaptive potential of populations, and our results suggest the potential for microevolution of thermal reaction norms in each of the studied populations. In summary, the observed latitudinal pattern in growth rates is adaptive and results from a combination of latitudinal and voltinism compensation. Combined with the evolutionary potential of thermal reaction norms, this may affect populations' ability to respond to future climate warming.
Data from: An approach to estimate short-term, long-term, and reaction norm repeatability
Evolutionary ecologists increasingly study reaction norms that are expressed repeatedly within the same individual's lifetime. For example, foragers continuously alter anti-predator vigilance in response to moment-to-moment changes in predation risk. Variation in this form of plasticity occurs both among and within individuals. Among-individual variation in plasticity (individual by environment interaction or I×E) is commonly studied; by contrast, despite increasing interest in its evolution and ecology, within-individual variation in phenotypic plasticity is not. We outline a study design based on repeated measures and a multi-level extension of random regression models that enables quantification of variation in reaction norms at different hierarchical levels (such as among- and within-individuals). The approach enables the calculation of repeatability of reaction norm intercepts (average phenotype) and slopes (level of phenotypic plasticity); these indices are not specific to measurement or scaling and are readily comparable across data sets. The proposed study design also enables calculation of repeatability at different temporal scales (such as short- and long-term repeatability) thereby answering calls for the development of approaches enabling scale-dependent repeatability calculations. We introduce a simulation package in the R statistical language to assess power, imprecision and bias for multi-level random regression that may be utilised for realistic datasets (unequal sample sizes across individuals, missing data, etc). We apply the idea to a worked example to illustrate its utility. We conclude that consideration of multi-level variation in reaction norms deepens our understanding of the hierarchical structuring of labile characters and helps reveal the biology in heterogeneous patterns of within-individual variance that would otherwise remain 'unexplained' residual variance.
Data from: The importance of social dimension and maturation stage for the probabilistic maturation reaction norm in Poecilia reticulata
Maturation is an important event in an organism's life history, with important implications on dynamics of both wild and captive populations. The probabilistic maturation reaction norm (PMRN) has emerged as an important method to describe variation in maturation in wild fish. Because most PMRNs are based on age and size only, it is important to understand limitations of these variables in explaining maturation. We experimentally assessed (i) the sensitivity of age- and size-based PMRNs to unaccounted sources of plasticity, (ii) the role of social environment on maturation and (iii) the significance of estimating PMRNs early and late in the maturation process (initiation and completion of maturation, respectively). We reared male guppies (Poecilia reticulata) under laboratory conditions, subjected to two food levels and three different social cues. We found that growth and social environment affected the maturation in a way that could not be accounted for by their effect on age and size. PMRNs estimated for the initiation stage were less plastic (growth differences and social cues influenced the PMRN shape only little) than those for completion. The initiation of maturation is probably closer to the maturation 'decision' and allows determining factors influencing maturation decision most accurately.
Data from: The interaction between genotype and juvenile and adult density environment in shaping multidimensional reaction norms of behaviour
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Data from: Dispersal propensity in Tetrahymena thermophila ciliates – a reaction norm perspective
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Data from: An approach to estimate short-term, long-term, and reaction norm repeatability
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Data from: Evolutionary change in continuous reaction norms
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Data from: Variation in continuous reaction norms: quantifying directions of biological interest
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.
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.