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1,363 results for “phenotypic data”
Protea repens whole transcriptome count data for control and drought treatment for 8 populations, climatic data for the 8 populations and phenotypic data collected, and data used for linear mixed models for climate gene expression/trait correlation testing
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Phenotype data (composition, functionality, end-product quality) of wheat grown in Flanders, Belgium
<p>Data for the Ph.D. dissertation entitled: Outline of four degrees of diversification for understanding bread wheat (<em>Triticum aestivum</em> L.) quality. For further details on the content of the files, the meaning of abbreviations and used techniques, it is referred to the Ph.D. manuscript. </p> <p>For further details, please contact the author. </p>
Highly multiplexed histology reveals phenotypic and spatial characteristics of human Innate Lymphoid Cells in chronic inflammation - MELC colon data-set
<p> 50 marker MELC Run in human colon. Each image shows the same field of view, sequentially stained with the depicted fluorescence-labelled antibodies, including surface proteins and transcription factors. Images contain 2024 x 2024 pixels and are generated using an inverted wide-field fluorescence microscope with a 20x objective, a lateral resolution of 325 nm and an axial resolution above 5 µm. Images have not been normalized and intensities have not been adjusted.</p>
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>
Data from: Host-induced genome instability rapidly generates phenotypic variation across Candida albicans strains and ploidy states
<p>Candida albicans is an opportunistic fungal pathogen of humans that is typically diploid yet has a highly labile genome tolerant of large-scale perturbations including chromosomal aneuploidy and loss-of-heterozygosity events. The ability to rapidly generate genetic variation is crucial for C. albicans to adapt to changing or stressful environments, like those encountered in the host. Genetic variation occurs via stress-induced mutagenesis or can be generated through its parasexual cycle, in which tetraploids arise via diploid mating or stress-induced mitotic defects and undergo nonmeiotic ploidy reduction. However, it remains largely unknown how genetic background contributes to C. albicans genome instability in vitro or in the host environment. Here, we tested how genetic background, ploidy, and the host environment impacts C. albicans genome stability. We found that host association induced both loss-of-heterozygosity events and genome size changes, regardless of genetic background or ploidy. However, the magnitude and types of genome changes varied across C. albicans strain background and ploidy state. We then assessed if host-induced genomic changes resulted in fitness consequences on growth rate and nonlethal virulence phenotypes and found that many host-derived isolates significantly changed relative to their parental strain. Interestingly, diploid host-associated C. albicans predominantly decreased host reproductive fitness, whereas tetraploid host-associated C. albicans increased host reproductive fitness. Together, these results are important for understanding how host-induced genomic changes in C. albicans alter its relationship with the host.</p> <p>IMPORTANCE Candida albicans is an opportunistic fungal pathogen of humans. The ability to generate genetic variation is essential for adaptation and is a strategy that C. albicans and other fungal pathogens use to change their genome size. Stressful environments, including the host, induce C. albicans genome instability. Here, we investigated how C. albicans genetic background and ploidy state impact genome instability, both in vitro and in a host environment. We show that the host environment induces genome instability, but the magnitude depends on C. albicans genetic background. Furthermore, we show that tetraploid C. albicans is highly unstable in host environments and rapidly reduces in genome size. These reductions in genome size often resulted in reduced virulence. In contrast, diploid C. albicans displayed modest host-induced genome size changes, yet these frequently resulted in increased virulence. Such studies are essential for understanding how opportunistic pathogens respond and potentially adapt to the host environment.</p> <p> </p>
Data from: Phylogenomics, biogeography and morphometrics reveal rapid phenotypic evolution in pythons after crossing Wallace's line
<p>Ecological opportunities can be provided to organisms that cross stringent biogeographic barriers towards environments with new ecological niches. Wallace's and Lyddeker's lines are arguably the most famous biogeographic barriers, separating the Asian and Australo-Papuan biotas. One of the most ecomorphologically diverse groups of reptiles, the pythons, is distributed across these lines, and are remarkably more diverse in phenotype and ecology east of Wallace's line in Australo-Papua. We used an anchored hybrid enrichment approach, with near complete taxon sampling, to extract mitochondrial genomes and 376 nuclear loci to resolve and date their phylogenetic history. Biogeographic reconstruction demonstrates that they originated in Asia around 38-45 Ma and then invaded Australo-Papua around 23 Ma. Australo-Papuan pythons display a sizeable expansion in morphological space, with shifts towards numerous new adaptive optima in head and body shape, coupled with the evolution of new micro-habitat preferences. We provide an updated taxonomy of pythons and our study also demonstrates how ecological opportunity following colonization of novel environments can promotemorphological diversification in a formerly ecomorphologically conservative group.</p>
Data from: "A cleaner break": genetic divergence between geographic groups and sympatric phenotypes revealed in ballan wrasse (Labrus bergylta)
<p>Capture and long-distance translocation of cleaner fish to control lice infestations on marine salmonid farms has the potential to influence wild populations via overexploitation in source regions, and introgression in recipient regions. Knowledge of population genetic structure is therefore required. We studied the genetics of ballan wrasse, a phenotypically diverse and extensively used cleaner fish, from 18 locations in Norway and Sweden, and from Galicia, Spain. We detected two very distinct genetic groups in Scandinavia, northwest and southeast. These groups were split by a stretch of sandy beaches in southwest Norway, representing a habitat discontinuity for this rocky shore associated benthic egg laying species. The Galician sample was highly differentiated from all Scandinavian samples, but overall closer to northwestern samples. . Distinct genetic differences were observed between sympatric spotty and plain phenotypes in Galicia, but not in Scandinavia. The mechanisms underlying the geographical patterns between phenotypes are discussed, but not identified. We conclude that extensive aquaculture-mediated translocation of ballan wrasse from Sweden and southern Norway, to western and middle Norway, has the potential to mix genetically distinct populations. These results question the sustainability of the current cleaner fish practice.</p>
Data from: Phenotypic, ecological and genomic variation in common bully (Gobiomorphus cotidianus) populations along depth gradients in New Zealand's Southern Great Lakes
<p>Depth gradients in lakes are often key drivers of population divergence and speciation in fishes. New Zealand has many deep lakes but no known profundal specialist fishes or cases of intralacustrine speciation. We sampled a native benthic fish, the common bully, from 5–90 m depth in four South Island lakes, to test for morphological, ecological, or genetic differentiation associated with depth. Deeper fish consistently had narrower bodies, while other morphological traits showed variable relationships with depth. Carbon and nitrogen stable isotope values of fish increased with depth, largely tracking isotopic trends with depth of benthic invertebrate prey. Genotyping-by-sequencing showed some genome-wide differentiation between two of the lakes, but no evidence for within-lake genetic structuring along depth gradients. These results indicate that individual bullies associate with shallower or deeper habitats within their lifetimes, but we found no evidence of progress toward genetic divergence within lakes. The apparent lack of intralacustrine genetic divergence in New Zealand's fishes may be explained by a combination of environmental factors and constraints intrinsic to its marine-derived freshwater fish fauna.</p>
Predicting Phenotype from Multi-Scale Genomic and Environment Data using Neural Networks and Knowledge Graphs
<p><strong>Background: To mitigate the effects of climate change on public health and conservation, we need to better understand the dynamic interplay between biological processes and environmental effects. Machine learning (ML) methods in general, and Deep Learning (DL) methods in particular, are a potential way forward because they are able to cope with the nonlinearity of natural systems. However, there are several barriers that exist, including the absence of ML-ready data. We propose to develop a machine learning framework capable of predicting phenotypes based on multi-scale data about genes and environments. A critical part of this framework are data transformation methods that map the heterogeneous input data into formats that are consumable by the ML techniques. The central hypothesis of this research is that deep learning algorithms and biological knowledge graphs will predict phenotypes more accurately across more taxa and more ecosystems than do current numerical and traditional statistical modeling methods. Our long term goal is to develop predictive analytics for organismal response to environmental perturbations using innovative data science approaches. This pilot project on predicting emergent properties of complex systems and multidimensional interactions is funded by the NSF (Award # 1939945, 1940059, 1940062, 1940330). </strong></p> <p> </p> <p><strong>Results: We have established shared project governance, communication channels, project timeline, and data and computing environment across four universities. We have successfully reached out to three other projects for broader collaboration.</strong></p>
Data from: ApoE is a correlate of phenotypic heterogeneity in Alzheimer's disease in a national cohort
Objective: To compare the proportion of APOEε4 genotype carriers in aphasic versus amnestic variants of Alzheimer's disease (AD). Method: The proportion of APOEε4 carriers was compared among 3 groups. 1) Forty-two patients with primary progressive aphasia (PPA) and AD pathology (PPA/AD) enrolled in the Northwestern Alzheimer Disease Center Clinical Core. 2) 1,418 patients with autopsy confirmed AD and amnestic dementia of the Alzheimer-type (DAT/AD); 3) 2,608 cognitively normal controls (NC). The latter two groups were compiled from the National Alzheimer Coordinating Center (NACC) database. Logistic regression models analyzed the relationship between groups and APOEε4 carrier status, adjusting for age of onset and sex as needed. Results: Using NC as the reference and adjusting for sex and age, the DAT/AD group was 3.97 times more likely to be APOEε4 carriers. Adjusting for sex and age at symptom onset, the DAT/AD group was 2.46 times as likely to be carriers compared to PPA/AD. There was no significant difference in the proportion of APOEε4 carriers for PPA/AD compared to NC. PPA subtypes included 24 logopenic, 10 agrammatic nonfluent, and eight either mixed (n=5) or too severe (n=3) to subtype. The proportion of carriers and non carriers was similar for logopenic and agrammatic subtypes, both having fewer carriers. Conclusion: The proportion of APOEε4 carriers was elevated in amnestic but not aphasic manifestations of AD. These results suggest that APOEε4 is an anatomically selective risk factor that preferentially increases the vulnerability to AD pathology of memory-related medial temporal areas rather that language-related neocortices.
Data from: Evolutionary and plastic phenotypic change can be just as fast as changes in population densities
<p>Evolution and plasticity can drive population-level phenotypic change (e.g., changes in the mean phenotype) on time scales comparable to changes in population densities. However, it is unclear if phenotypic change has the potential to be just as fast as changes in densities, or if comparable rates of change only occur when densities are changing slow enough for phenotypes to keep pace. Moreover, it is unclear if this depends on the mode of adaptation. Using scaling theory and fast-slow dynamical systems theory, we develop a method for comparing maximum rates of density and phenotypic change estimated from population-level time series data. We apply our method to 30 published empirical studies where changes in morphological traits are caused by evolution, plasticity, or an unknown combination. For every study, the maximum rate of phenotypic change was 0.5 to 2.5 times faster than the maximum rate of change in density. Moreover, there were no systematic differences between systems with different modes of adaptation. Our results show that plasticity and evolution can drive phenotypic change just as fast as changes in densities. We discuss the implications of our results in terms of the strengths of feedbacks between population densities and traits.</p>
Data from: Gene expression in the phenotypically plastic Arctic charr (Salvelinus alpinus): a focus on growth and ossification at early stages of development
Gene expression during development shapes the phenotypes of individuals. Although embryonic gene expression can have lasting effects on developmental trajectories, few studies consider the role of maternal effects, such as egg size, on gene expression. Using qPCR, we characterize relative expression of 14 growth and/or skeletal promoting genes across embryonic development in Arctic charr (Salvelinus alpinus). We test to what extent their relative expression is correlated with egg size and size at early life‐stages within the study population. We predict smaller individuals to have higher expression of growth and skeletal promoting genes, due to less maternal resources (i.e., yolk) and prioritization of energy toward ossification. We found expression levels to vary across developmental stages and only three genes (Mmp9, Star, and Sgk1) correlated with individual size at a given developmental stage. Contrary to our hypothesis, expression of Mmp9 and Star showed a non‐linear relationship with size (at post fertilization and hatching, respectively), whilst Sgk1 was higher in larger embryos at hatching. Interestingly, these genes are also associated with craniofacial divergence of Arctic charr morphs. Our results indicate that early life‐stage variation in gene expression, concomitant to maternal effects, can influence developmental plasticity and potentially the evolution of resource polymorphism in fishes.
DNA methylation and phenotypic data from: Environmentally induced phenotypic plasticity and DNA methylation changes in a wild potato growing in two contrasting Andean experimental gardens
<p>DNA methylation can be environmentally modulated and play a role in phenotypic plasticity. To understand the role of environmentally induced epigenetic variation and its dynamics in natural populations and ecosystems, it is relevant to place studies in a real-world context. Our experimental model is the wild potato <i>Solanum kurtzianum</i>, a close relative of the cultivated potato <i>S. tuberosum</i>. It was evaluated in its natural habitat, an arid Andean region in Argentina characterised by spatial and temporal environmental fluctuations. The dynamics of phenotypic and epigenetic variability (with Methyl Sensitive Amplified Polymorphism markers, MSAP) was assayed in three genotypes across three growing seasons. These genotypes were cultivated permanently and also reciprocally transplanted between experimental gardens (EG) differing in ca. 1000 m of altitude. In two seasons, the genotypes presented differential methylation patterns associated to the EG. In the reciprocal transplants, a rapid epigenomic remodelling occurred according to the growing season. Phenotypic plasticity, both spatial (between EGs within season) and temporal (between seasons), was detected. The epigenetic and phenotypic variability were positively correlated. The lack of an evident mitotic epigenetic memory would be a common response to short-term environmental fluctuations. Thus, the environmentally induced phenotypic and epigenetic variation could contribute to populations persistence through time. These results have implications for understanding the great ecological diversity of wild potatoes.</p>
Data from: Positive relationships between association strength and phenotypic similarity characterize the assembly of mixed-species bird flocks worldwide
Competition theory predicts that communities at small spatial scales should consist of species more dissimilar than expected by chance. We find a strikingly different pattern in a multi-continent dataset (55 presence-absence matrices from 24 locations) on the composition of mixed-species bird flocks, important subunits of local bird communities the world over. Using null models and randomization tests followed by meta-analysis, we find the association strength of species in flocks to be strongly related to similarity in body size and foraging behavior, and higher for congeneric compared with non-congeneric species pairs. Given the small spatial scale of our individual analyses, differences in habitat preferences of species are unlikely to have caused these association patterns; therefore, the patterns are most likely the outcome of species interactions. Extending group-living and social information use theory to a heterospecific context, we discuss potential behavioral mechanisms leading to positive interactions among similar species in flocks as well as ways in which competition costs are reduced. Our findings highlight the need to consider positive interactions along with competition when seeking to explain community assembly.
Data from: Phenotypically plastic responses to predation risk are temperature dependent
Predicting how organisms respond to climate change requires that we understand the temperature dependence of fitness in relevant ecological contexts (e.g., with or without predation risk). Predation risk often induces changes to life history traits that are themselves temperature dependent. We explore how perceived predation risk and temperature interact to determine fitness (indicated by the intrinsic rate of increase, r) through changes to its underlying components (net reproductive rate, generation time, and survival) in Daphnia magna. We exposed Daphnia to predation cues from dragonfly naiads early, late, or throughout their ontogeny. Predation risk increased r differentially across temperatures and depending on the timing of exposure to predation cues. The timing of predation risk likewise altered the temperature dependent response of T and R0. Daphnia at hotter temperatures responded to predation risk by increasing r through a combination of increased R0 and decreased T that together countered an increase in mortality rate. However, only D. magna that experienced predation cues early in ontogeny showed elevated r at colder temperatures. These results highlight the fact that phenotypically plastic responses of life history traits to predation risk can be strongly temperature dependent.
Data associated with 'Metformin rescues Parkinson's disease phenotypes caused by hyperactive mitochondria'
<p>Metabolic dysfunction occurs in many age-related neurodegenerative diseases, yet its role in disease etiology remains poorly understood. We recently discovered a potential causal link between the branched-chain amino acid transferase, <i>BCAT-1,</i> and the neurodegenerative movement disorder, Parkinson's disease (PD). RNAi-mediated knockdown of <i>C. elegans bcat-1</i> recapitulates PD-like features, including progressive motor deficits and neurodegeneration with age, yet the underlying mechanisms have remained unknown. Using transcriptomic, metabolomic, and imaging approaches, we show here that <i>bcat-1 </i>knockdown increases mitochondrial respiration and induces oxidative damage in neurons through mTOR-independent mechanisms. Increased mitochondrial respiration, or 'mitochondrial hyperactivity,' is required for <i>bcat-1(RNAi)</i> neurotoxicity. Moreover, we show that post-disease onset administration of the type 2 diabetes medication, metformin, reduces mitochondrial respiration to control levels and significantly improves both motor function and neuronal viability. Together, our findings suggest that mitochondrial hyperactivity may be an early event in PD pathogenesis, and strategies aimed at reducing mitochondrial respiration may constitute a surprising new avenue for PD treatment.</p>
Data belonging to: Lining the nest with more feathers increases offspring recruitment probability: Selection on an extended phenotype in the blue tit
<p>Birds, among various other taxa, construct nests. Nests form an extended phenotype of the individual building it. Nests are used to extend control over the conditions in which offspring develop, and are therefore commonly considered to be shaped by selection. Nevertheless, scarcely any scientific evidence exist that nest composition is under selection. Here, we demonstrate with data from over 400 blue tit (<i>Cyanistes caeruleus</i>) nests collected over eight years that a higher proportion of feathers in the nest lining is positively associated with the probability of offspring to recruit as a breeding adult later in life. Strikingly, the extended phenotype (nest) was associated stronger with recruitment probability than phenotypic traits that have typically been considered important in selection (laying date, and female size and condition). Our findings suggest that the choice of nest material could be a maternal behaviour with potential lifelong effects on her offspring.</p>
Data and statistical analysis scripts for manuscript on high-throughput phenotyping of root economics in wheat
<p>This repository contains the root data, GEMMA files, and R code for generating the statistics and figures used in a preprint describing high-throughput phenotyping of root respiration in winter wheat.</p> <p><strong>Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture</strong></p> <p>Haichao Guo, Habtamu Ayalew, Anand Seethepalli, Kundan Dhakal, Marcus Griffiths, Xue-Feng Ma, Larry M. York</p> <p>bioRxiv 2020.11.12.380238; doi: <a href="https://doi.org/10.1101/2020.11.12.380238">https://doi.org/10.1101/2020.11.12.380238</a></p> <p><strong>analysis.R - </strong>A script for processing the included 4 CSV<em> </em>files of collected data. It is intended to run directly in RStudio and will automatically set the working directory in that case. The GEMMA folder includes files as output from GEMMA for genetic analysis, as described in the methods section of the preprint. These files are required by the R code for making Manhattan plots and other output. It will automatically create an output folder and the output text and figure files.</p> <p>The protocol for the respiration measurements are available in a separate Zenodo repository: <a href="https://doi.org/10.5281/zenodo.4247873">https://doi.org/10.5281/zenodo.4247873</a></p> <p>Please cite this repository and the preprint if any data or R code is used in your work.</p>
Protocol and data analysis scripts for high-throughput phenotyping of specific root respiration
<p>This repository contains a PDF written protocol with figures describing a method for measuring root respiration using an infrared gas analyzer (LI-850) and the R script necessary for processing the text files to derive CO<sub>2</sub> flux. Just download the ZIP file, unzip locally, open either the PDF or the .R file.</p> <p><strong>root_respiration_protocol.pdf </strong>- The illustrated protocol includes instruments and parts needed.</p> <p><strong>root_respiration_script.R - </strong>A script for processing the included 15 <em>.txt </em>files as examples from a LI-850 Gas Analyzer and extract absolute CO<sub>2</sub> flux with example code for how to incorporate root mass or length to derive specific root respiration. It is intended to run directly in RStudio and will automatically set the working directory in that case.</p> <p><strong>Please cite this repository if the protocol or R script is used in your work. </strong></p> <p>Guo, H., Ayalew, H., Seethepalli, A., Dhakal, K., Griffiths, M., Ma, X., York, L. M. (2020). Protocol and data analysis scripts for high-throughput phenotyping of specific root respiration [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4247873</p> <p><strong>The first manuscript using and describing this method is available:</strong></p> <p>Guo, H., Ayalew, H., Seethepalli, A., Dhakal, K., Griffiths, M., Ma, X., York, L. M. (2021). Functional phenomics and genetics of the root economics space in winter wheat using high-throughput phenotyping of respiration and architecture. <em><a href="https://nph.onlinelibrary.wiley.com/doi/10.1111/nph.17329">New Phytologist. DOI: 10.1111/nph.17329</a></em></p>
Data from: A method for analysis of phenotypic change for phenotypes described by high-dimensional data
The analysis of phenotypic change is important for several evolutionary biology disciplines, including phenotypic plasticity, evolutionary developmental biology, morphological evolution, physiological evolution, evolutionary ecology and behavioral evolution. It is common for researchers in these disciplines to work with multivariate phenotypic data. When phenotypic variables exceed the number of research subjects—data called 'high-dimensional data'—researchers are confronted with analytical challenges. Parametric tests that require high observation to variable ratios present a paradox for researchers, as eliminating variables potentially reduces effect sizes for comparative analyses, yet test statistics require more observations than variables. This problem is exacerbated with data that describe 'multidimensional' phenotypes, whereby a description of phenotype requires high-dimensional data. For example, landmark-based geometric morphometric data use the Cartesian coordinates of (potentially) many anatomical landmarks to describe organismal shape. Collectively such shape variables describe organism shape, although the analysis of each variable, independently, offers little benefit for addressing biological questions. Here we present a nonparametric method of evaluating effect size that is not constrained by the number of phenotypic variables, and motivate its use with example analyses of phenotypic change using geometric morphometric data. Our examples contrast different characterizations of body shape for a desert fish species, associated with measuring and comparing sexual dimorphism between two populations. We demonstrate that using more phenotypic variables can increase effect sizes, and allow for stronger inferences.
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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.