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187 results for “phenotypic traits”
Data from: Metabolic rate shapes phenotypic covariance among physiological, behavioural, and life history traits in honeybees
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Local adaptation and phenotypic plasticity drive leaf trait variation in the California endemic toyon dataset
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Alamo x Kanlow genotypic and phenotypic data for biomass yield and yield-related traits in lowland switchgrass (Panicum virgatum L.) crosses
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Phenotypic and Genetic data for "Evolution of fruit and seed traits during almond naturalization"
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Experimental and theoretical support for costs of plasticity and phenotype in a nematode cannibalistic trait
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Data from: Phenotypic integration in an extended phenotype: among‐individual variation in nest‐building traits of the alfalfa leafcutting bee (Megachile rotundata)
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A superLearner-based pipeline for the development of DNA methylation-derived predictors of phenotypic traits
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Spatially varying selection amplifies intrapopulation differentiation among phenotypic traits in the rocky-shore mussel, Mytilus californianus
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A codon model for associating phenotypic traits with altered selective patterns of sequence evolution
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Datasets and scripts from: Sensory-based quantification of male colour patterns in Trinidadian guppies reveals no support for parallel phenotypic evolution in multivariate trait space
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Exploring phenotypic diversity of pigmented traits and iris features in Pakistani population
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A high-throughput assay for quantifying phenotypic traits of microalgae
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Propagule phenotypic traits of Kandelia obovata and sampling sites information in China
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Data from: Phenotypic selection on an ornamental trait is not modulated by breeding density in a pied flycatcher population
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Bat-flower trait matching: Extreme phenotypic specialization affects diet preferences but not diet breadth
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Data from: Floral trait differentiation in Anacamptis coriophora: phenotypic selection on scents, but not on colour
<p>Current divergent selection may promote floral trait differentiation among conspecific populations in flowering plants. However, whether this applies to complex traits such as colour or scents has been little studied, even though these traits often vary within species. In this study, we compared floral colour and odour as well as selective pressures imposed upon these traits among seven populations belonging to three subspecies of the widespread, generalist orchid <i>Anacamptis coriophora</i>. Colour was characterised using calibrated photographs and scents were sampled using dynamic headspace extraction and analysed using gas chromatography-mass spectrometry. We then quantified phenotypic selection exerted on these traits by regressing fruit set values on floral trait values. We showed that the three studied subspecies were characterised by different floral colour and odour, with one of the two predominant floral volatiles emitted by each subspecies being taxon-specific. Plant size was positively correlated with fruit set in most populations, while we found no apparent link between floral colour and female reproductive success. We detected positive selection on several taxon-specific compounds in <i>A. coriophora</i> subsp. <i>fragrans</i>, whereas no selection was found on floral volatiles of <i>A. coriophora</i> subsp. <i>coriophora</i> and <i>A. coriophora</i> subsp. <i>martrinii</i>. This study is one of the first to document variation in phenotypic selection exerted on floral scents among conspecific populations. Our results suggest that selection could contribute to ongoing chemical divergence among <i>A. coriophora</i> subspecies.</p>
Cis-regulatory variation in the shavenbaby gene underlies intraspecific phenotypic variation, mirroring interspecific divergence in the same trait
<p>Despite considerable progress in recent decades in dissecting the genetic causes of natural morphological variation, there is limited understanding of how variation within species ultimately contributes to species differences. We have studied patterning of the non-sensory hairs, commonly known as "trichomes," on the dorsal cuticle of first-instar larvae of <i>Drosophila</i>. Most <i>Drosophila</i> species produce a dense lawn of trichomes, but a subset of dorsal trichomes were lost in <i>D. sechellia </i>and <i>D. ezoana </i>due entirely to regulatory evolution of the <i>shavenbaby</i> (<i>svb</i>) gene. Here we describe intraspecific variation in dorsal trichome patterns of first-instar larvae of <i>D. virilis</i> that is similar to the trichome pattern variation identified previously between species.<b> </b>We found that 67% of this difference is explained by a QTL that contains <i>svb </i>and that <i>svb</i> expression correlates with trichome variation within <i>D. virilis</i> <i>.</i> Despite using an experimental design with reasonable power to detect a second locus accounting for the remainder of the variance in trichome number, only a single QTL could be mapped, suggesting that multiple other loci each make a small contribution to trichome patterning. Thus, the genetic architecture of intraspecific variation and interspecific differences exhibit similarities and differences that may reflect differences between short-term and long-term evolutionary processes.</p>
Metabolic rate shapes phenotypic covariance among physiological, behavioral, and life history traits in honeybees
<p><span>Metabolic rate is often cited as the fundamental rate that determines the rate of all biological processes by shaping energetic availability for the various behavioral and life history traits that contribute to performance. It has therefore been suggested that metabolic rate drives the widely observed covariance among these different levels of phenotypic traits. However, much of the work on this topic has relied on pairwise correlational analysis, thereby leaving an important gap in our understanding regarding the functional links that shape this phenotypic covariance, often referred to as pace-of-life. Using honeybees as an experimental model, we measured a large number of behavioral, life history and physiological traits in individual bees and used a structural equation model to characterize the phenotypic covariance structure among these traits. Following this with a path analysis, we demonstrate that variation in metabolic rate plays a fundamental proximate role in driving this phenotypic covariance structure in honeybees. We discuss the importance of these findings in the context of how interindividual variation in terms of slow-fast phenotypes may drive the phenotype of a group and the functional role metabolic rate might play in shaping division of labor and social evolution.</span></p>
Data from: Phenotypic selection favors missing trait combinations in coexisting annual plants
Trade-offs among traits are important for maintaining biodiversity, but the role of natural selection in their construction is not often known. It is possible that trade-offs reflect fundamental constraints, negative correlational selection, or directional selection operating on costly, redundant traits. In a Sonoran Desert community of winter annual plants, we have identified a trade-off between relative growth rate and water-use efficiency among species, such that species with high relative growth rate have low water-use efficiency and vice versa. We measured selection on water-use efficiency, relative growth rate, and underlying traits within populations of four species at two study sites with different average climates. Phenotypic trait correlations within species did not match the among-species trade-off. In fact, for two species with high water-use efficiency, individuals with high relative growth rate also had high water-use efficiency. All populations experienced positive directional selection for water-use efficiency and relative growth rate. Selection tended to be stronger on water-use efficiency at the warmer and drier site, and selection on relative growth rate tended to be stronger at the cooler and wetter site. Our results indicate that directional natural selection favors a phenotype not observed among species in the community, suggesting that the among-species trade-off could be due to pervasive genetic constraints, perhaps acting in concert with processes of community assembly.
Data from: Linking innate immunogenetic variation with phenotypic traits in a wild population of tree swallows, Tachycineta bicolor
Unravelling the genetic basis of phenotypic variation among individuals is an important step in our understanding of evolution. Recent studies of innate immune genes, such as β -defensins, revealed that these genes had high levels of polymorphism. However, researchers have yet to quantify the effects of such variability on immune responses and fitness-related traits in wild populations. In this study, we assessed how the variability at six avian β -defensin (AvBD) genes was linked to an immune function and reproductive success in adult tree swallows (Tachycineta bicolor). We investigated the links between genetic variations using single nucleotide polymorphisms at AvBD genes, immune function as the bacterial killing ability (BKA) and fledging success. We assessed how female immunogenetics were linked to the presence of eggshell bacteria in their clutches and hatching success. We found weak associations between the presence of AvBD genes, BKA and eggshell bacteria. Our results suggested that homozygosity at some loci may be advantageous for defence against bacteria. Variability at β -defensin genes was not related to either hatching or fledging success. BKA of parents was positively linked with fledging success. More studies are needed to assess whether or not β -defensin genes are significantly affecting fitness-related traits in wild populations.
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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.