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30 results for “evolving traits”
Data from: Asymmetry in cross-sex cross-trait genetic covariances and the evolvability of sexual dimorphism
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Data from: Co-evolving wing spots and mating displays are genetically separable traits in Drosophila
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Promoting extinction or minimizing growth? The impact of treatment on trait trajectories in evolving populations - Data
<p>This is the dataset used in the manuscript "Promoting extinction or minimizing growth? The impact of treatment on trait trajectories in evolving populations" by Raatz &Traulsen. The code used to generate the data can be found at https://doi.org/10.5281/zenodo.6656842.</p>
Figs 15–29 in Calling signal pattern vs. genitalia morphology in Planaphrodes Hamilton, 1975 (Homoptera: Auchenorrhyncha: Cicadellidae: Aphrodinae) - which trait evolves faster?
Figs 15–29. Planaphrodes spp.: 15–21 — P. bifasciatus; 22–29 — P. monticola; 15–20 and 22–28 — oscillograms of male calling signals; 21 and 29 — penis, side view; 15, 17, and 19 — male from Mytishchi District; 16, 18, and 20–21 — male from Serpukhov District (both in Moscow Oblast); 22–23, 25, 27, and 29 — male from Western Tien-Shan Mts.; 24, 26, and 28 — male from Central Tien-Shan Mts. Faster oscillograms of the parts of signals indicated as "17–20" and "25–28" are given under the same numbers. Рис. 15–29. Planaphrodes spp.: 15–21 — P. bifasciatus; 22–29 — P. monticola; 15–20, 22–28 — осциллограммы приЗывных сигналов самца; 21, 29 — пенис сбоку; 15, 17, 19 — самец иЗ МытиЩинского р-на; 16, 18, 20–21 — самец иЗ Серпуховского р-на (оба — МосковскаЯ обл.); 22–23, 25, 27, 29 — самец с Западного ТЯнь-ШанЯ; 24, 26, 28 — самец с Центрального ТЯнь-ШанЯ. Фрагменты сигналов, обоЗначенные цифрами "17–20" и "25–28", представлены на осциллограммах под такими же номерами.
Data from: The evolution of a complex trait: cuticular hydrocarbons in ants evolve independent from phylogenetic constraints
Cuticular hydrocarbons (CHC) are ubiquitous and highly diverse in insects, serving as communication signal and waterproofing agent. Despite their vital function, the causes, mechanisms and constraints on CHC diversification are still poorly understood. Here, we investigated phylogenetic constraints on the evolution of CHC profiles, using a global dataset of the species-rich and chemically diverse ant genus Crematogaster. We decomposed CHC profiles into quantitative (relative abundances, chain length) and qualitative traits (presence/absence of CHC classes). A species-level phylogeny was estimated using newly generated and previously published sequences from five nuclear markers. Moreover, we reconstructed a phylogeny for the chemically diverse C. levior species group using cytochrome oxidase I. Phylogenetic signal was measured for these traits on genus and clade level and within the chemically diverse C. levior group. For most quantitative CHC traits, phylogenetic signal was low and did not differ from random expectation. This was true on the level of genus, clade and species-group, indicating that CHC traits are evolutionary labile. In contrast, the presence or absence of alkenes and alkadienes was highly conserved within the C. levior group. Hence, the presence or absence of biosynthetic pathways may be phylogenetically constrained, especially at lower taxonomic levels. Our study shows that CHC composition can evolve rapidly, allowing insects to quickly adapt their chemical profiles to external selection pressures, while the presence of biosynthetic pathways appears more constrained. However, our results stress the importance to consider the taxonomic level when investigating phylogenetic constraints.
Condition-dependence of phenotypic integration and the evolvability of genitalic traits in a neriid fly
<p>The spectacular diversity of insect male genitalia, and their relative insensitivity to the environment, have long puzzled evolutionary biologists and taxonomists. We asked whether the unusual evolvability of male genitalia could be associated with low morphological integration of genitalic traits, by comparison with male somatic traits and female traits. We also asked whether this pattern was robust to variation in resource availability during development, which affects adult condition. To address these questions, we manipulated larval diet quality in a split-brood design and compared levels of integration of male and female genitalic and somatic traits in the neriid fly, <i>Telostylinus angusticollis</i>. We found that male genitalic traits were substantially less integrated than male somatic traits, and less integrated than female genitalic traits. Female genitalic traits were also less integrated than female somatic traits, but the difference was less pronounced than in males. However, integration of male genitalic traits was negatively condition-dependent, with high-condition males exhibiting lower trait integration than low-condition males. Finally, genitalic traits exhibited lower larval diet family interactions than somatic traits. These results could help explain the unusually high evolvability of male genitalic traits in insects.</p>
Selection-driven trait loss in independently evolved cavefish populations
<p>Laboratory studies have demonstrated that a single phenotype can be produced by many different genotypes; however, in natural systems, it is frequently found that phenotypic convergence is due to parallel genetic changes. This suggests a substantial role for constraint and determinism in evolution and indicates that certain mutations are more likely to contribute to phenotypic evolution. Here we use whole-genome resequencing in the Mexican tetra, <em>Astyanax</em> <em>mexicanus</em>, to investigate how selection has shaped the repeated evolution of both trait loss and enhancement across independent cavefish lineages. We show that selection on standing genetic variation and de novo mutations both contribute substantially to repeated adaptation. Our findings provide empirical support for the hypothesis that genes with larger mutational targets are more likely to be the substrate of repeated evolution and indicate that features of the cave environment may impact the rate at which mutations occur.</p>
Selection-driven trait loss in independently evolved cavefish populations
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Data from: Reef fish functional traits evolve fastest at trophic extremes
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Data from: The evolution of a complex trait: cuticular hydrocarbons in ants evolve independent from phylogenetic constraints
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Condition-dependence of phenotypic integration and the evolvability of genitalic traits in a neriid fly
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Data from: Sexually selected traits evolve positive allometry when some matings occur irrespective of the trait
Positive allometry of secondary sexual traits (whereby larger individuals have disproportionally larger traits than smaller individuals) has been called one of the most pervasive and poorly understood regularities in the study of animal form and function. Its widespread occurrence is in contrast with theoretical predictions that it should evolve only under rather special circumstances.
Data from: Experimental evolution demonstrates evolvability of preferential nutrient allocation to competing traits, in response to chronic malnutrition.
Investigating the evolutionary origins of disease vulnerability is an important aspect of evolutionary medicine that strongly complements our current understanding on proximate causes of disease. Life history trade-offs mediated through evolutionary changes in resource allocation strategies could be one possible explanation to why suboptimal traits that leave bodies vulnerable to disease exist. For example, Drosophila melanogaster populations experimentally evolved to tolerate chronic larval malnutrition succumb to intestinal infection despite eliciting a competent immune response, owing to the loss of their intestinal integrity. Here, I test if evolved changes in resource allocation underlies this trade-off, by assaying preferential allocation of dietary protein towards growth and tissue repair in the same populations. Using two phenotypic traits: regeneration of intestinal epithelium post-pathogenic infection and body weight, I show that in accordance to the dynamic energy budget theory (DEB) dietary protein acquired during the larval phase is allocated to both growth and adult tissue repair. Furthermore, by altering the ratio of protein and carbohydrates in the larval diets I demonstrate that in comparison to the control populations, the evolved (selected) populations differ in their protein allocation strategy towards these two traits. While the control populations stored away excess protein for tissue repair, the selected populations invested it towards immediate increase in body weight rather than towards an unanticipated tissue damage. Thus, I show how macronutrient availability and their allocation between traits can alter resistance, and provide empirical evidence that supports the 'mismatch hypothesis', wherein vulnerability to disease is proposed to stem from the differences between ancestral and current environment.
Data from: Evolutionary stability of jointly evolving traits in subdivided populations
The evolutionary stability of quantitative traits depends on whether a population can resist invasion by any mutant. While uninvadability is well understood in well-mixed populations, it is much less so in subdivided populations when multiple traits evolve jointly. Here, we investigate whether a spatially subdivided population at a monomorphic equilibrium for multiple traits can withstand invasion by any mutant or is subject to diversifying selection. Our model also explores the correlations among traits arising from diversifying selection and how they depend on relatedness due to limited dispersal. We find that selection tends to favor a positive (negative) correlation between two traits when the selective effects of one trait on relatedness is positively (negatively) correlated to the indirect fitness effects of the other trait. We study the evolution of traits for which this matters: dispersal that decreases relatedness and helping that has positive indirect fitness effects. We find that when dispersal cost is low and the benefits of helping accelerate faster than its costs, selection leads to the coexistence of mobile defectors and sessile helpers. Otherwise, the population evolves to a monomorphic state with intermediate helping and dispersal. Overall, our results highlight the effects of population subdivision for evolutionary stability and correlations among traits.
Data from: Release from intralocus sexual conflict? Evolved loss of a male sexual trait demasculinises female gene expression
The loss of sexual ornaments is observed across taxa, and pleiotropic effects of such losses provide an opportunity to gain insight into underlying dynamics of sex-biased gene expression and intralocus sexual conflict (IASC). We investigated this in a Hawaiian field cricket, Teleogryllus oceanicus, in which an X-linked genotype (flatwing) feminises males' wings and eliminates their ability to produce sexually selected songs. We profiled adult gene expression across somatic and reproductive tissues of both sexes. Despite the feminising effect of flatwing on male wings, we found no evidence of feminised gene expression in males. Instead, female transcriptomes were more strongly affected by flatwing than males', and exhibited demasculinised gene expression. These findings are consistent with a relaxation of IASC constraining female gene expression through loss of a male sexual ornament. In a follow-up experiment we found reduced testes mass in flatwing males, whereas female carriers showed no reduction in egg production. In contrast, female carriers exhibited greater measures of body condition. Our results suggest sex-limited phenotypic expression offers only partial resolution to intralocus sexual conflict, owing to pleiotropic effects of the loci involved. Benefits conferred by release from intralocus conflict could help explain widespread loss of sexual ornaments across taxa.
Data from: Genome assembly improvement and mapping convergently evolved skeletal traits in sticklebacks with genotyping-by-sequencing
Marine populations of the threespine stickleback (Gasterosteus aculeatus) have repeatedly colonized and rapidly adapted to freshwater habitats, providing a powerful system to map the genetic architecture of evolved traits. Here, we developed and applied a binned genotyping-by-sequencing (GBS) method to build dense genome-wide linkage maps of sticklebacks using two large marine by freshwater F2 crosses of more than 350 fish each. The resulting linkage maps significantly improve the genome assembly by anchoring 78 new scaffolds to chromosomes, reorienting 40 scaffolds, and rearranging scaffolds in 4 locations. In the revised genome assembly, 94.6% of the assembly was anchored to a chromosome. To assess linkage map quality, we mapped quantitative trait loci (QTL) controlling lateral plate number, which mapped as expected to a 200-kb genomic region containing Ectodysplasin, as well as a chromosome 7 QTL overlapping a previously identified modifier QTL. Finally, we mapped eight QTL controlling convergently evolved reductions in gill raker length in the two crosses, which revealed that this classic adaptive trait has a surprisingly modular and nonparallel genetic basis.
Data from: Coevolution drives the emergence of complex traits and promotes evolvability
The evolution of complex organismal traits is obvious as a historical fact, but the underlying causes—including the role of natural selection—are contested. Gould argued that a random walk from a necessarily simple beginning would produce the appearance of increasing complexity over time. Others contend that selection, including coevolutionary arms races, can systematically push organisms toward more complex traits. Methodological challenges have largely precluded experimental tests of these hypotheses. Using the Avida platform for digital evolution, we show that coevolution of hosts and parasites greatly increases organismal complexity relative to that otherwise achieved. As parasites evolve to counter the rise of resistant hosts, parasite populations retain a genetic record of past coevolutionary states. As a consequence, hosts differentially escape by performing progressively more complex functions. We show that coevolution's unique feedback between host and parasite frequencies is a key process in the evolution of complexity. Strikingly, the hosts evolve genomes that are also more phenotypically evolvable, similar to the phenomenon of contingency loci observed in bacterial pathogens. Because coevolution is ubiquitous in nature, our results support a general model whereby antagonistic interactions and natural selection together favor both increased complexity and evolvability.
Data from: Evolutionary stability of jointly evolving traits in subdivided populations
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Data from: Sexually selected traits evolve positive allometry when some matings occur irrespective of the trait
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Data from: Female social preference for males that have evolved via monogamy: evidence of a trade-off between pre- and post-copulatory sexually selected traits?
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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.