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767 results for “inheritance”
Retinal proteome profiling of inherited retinal degeneration across three different mouse models suggests common drug targets in retinitis pigmentosa
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Mitochondrial epigenetics brings new perspectives on doubly uniparental inheritance in bivalves
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Data from: Inheritance of material wealth in a natural population
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Data for fitness analyses used in: Environmentally-induced DNA methylation is inherited across generations in water fleas (Daphnia magna)
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Social network inheritance and differentiation in wild baboons
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Inheritance of color morphs in the meadow grasshopper
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Exploring the macroevolutionary signature of asymmetric inheritance at speciation
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On the effect of asymmetrical trait inheritance on models of trait evolution
Current phylogenetic comparative methods modelling quantitative trait evolution generally assume that, during speciation, phenotypes are inherited identically between the two daughter species. This, however, neglects the fact that species consist of a set of individuals, each bearing its own trait value. Indeed, because descendent populations after speciation are samples of a parent population, we can expect their mean phenotypes to randomly differ from one another potentially generating a ``jump'' of mean phenotypes due to asymmetrical trait inheritance at cladogenesis. Here, we aim to clarify the effect of asymmetrical trait inheritance at speciation on macroevolutionary analyses, focusing on model testing and parameter estimation using some of the most common models of quantitative trait evolution. We developed an individual-based simulation framework in which the evolution of species phenotypes is determined by trait changes at the individual level accumulating across generations and cladogenesis occurs then by separation of subsets of the individuals into new lineages. Through simulations, we assess the magnitude of phenotypic jumps at cladogenesis under different modes of trait inheritance at speciation. We show that even small jumps can strongly alter both the results of model selection and parameter estimations, potentially affecting the biological interpretation of the estimated mode of evolution of a trait. Our results call for caution when interpreting analyses of trait evolution, while highlighting the importance of testing a wide range of alternative models. In the light of our findings, we propose that future methodological advances in comparative methods should more explicitly model the intra-specific variability around species mean phenotypes and how it is inherited at speciation.
Data from: A novel method to analyze social transmission in chronologically sequenced assemblages, implemented on cultural inheritance of the art of cooking
Here we present an analytical technique for the measurement and evaluation of changes in chronologically sequenced assemblages. To illustrate the method, we studied the cultural evolution of European cooking as revealed in seven cook books dispersed over the past 800 years. We investigated if changes in the set of commonly used ingredients were mainly gradual or subject to fashion fluctuations. Applying our method to the data from the cook books revealed that overall, there is a clear continuity in cooking over the ages – cooking is knowledge that is passed down through generations, not something (re-)invented by each generation on its own. Looking at three main categories of ingredients separately (spices, animal products and vegetables), however, disclosed that all ingredients do not change according to the same pattern. While choice of animal products was very conservative, changing completely sequentially, changes in the choices of spices, but also of vegetables, were more unbounded. We hypothesize that this may be due a combination of fashion fluctuations and changes in availability due to contact with the Americas during our study time period. The presented method is also usable on other assemblage type data, and can thus be of utility for analyzing sequential archaeological data from the same area or other similarly organized material.
Genotypes and geographic positions of 5797 European white oaks from 636 locations genotyped at 355 nuclear SNPs and 28 maternally inherited SNPs of the chloroplast and mitochondria
<p class="MsoNormal"><span>The data set is the result of genetic inventory on 5797 white oaks collected at 636 locations all over Europe. The oaks trees were assigned in forest inventories as <em>Quercus robur</em> </span><em>L.</em> <span>(3342), <em>Quercus petraea </em></span><em>Matt</em>. <span>(2090), <em>Quercus pubescens </em></span><em>Willd</em>. <span>(170) or as unspecified <em>Quercus</em>. spp. (195). The sampling had a focus on central and east Europe as well as the Black Sea and Caucasus region. All individuals were genotyped at 355 nuclear SNPs and 28 maternally inherited SNPs of the chloroplast and mitochondria. The combination of the maternally inherited SNPs resulted in 26 different haplotypes. </span></p> <p class="MsoNormal"><span>The genotype of each individual is one row in the csv-file "genotypes". The genotypes at the nuclear markers are diploid and represented by two columns per gene marker. The genetic information at the organelle genome is haploid. For each of these gene markers one column is used. Genotypes are coded by Arabic numbers. The meaning of the numbers is explained in the table "coding genotypes" in a second csv-file. Each Individual has a unique "Genotype_ID" and a "Thuenen_Sample_ID". The "Thuenen_Sample_ID" is a unique ID that serves to identify the sample in our depository at the Thuenen Institute of Forest Genetics. Each individual has data on the geographic origin given as "Longitude" and "Latitude" in decimal degrees. For each individual the putative oak species ("Putative species") as it has been assigned in the forest inventories is given. The numbers of the "Haplotype" represent the multilocus combination of the mitochondrial and chloroplast SNPs of that individual.</span></p>
Data for: A histone demethylase links the loss of plasticity to nongenetic inheritance and morphological change
<p class="MsoNormal"><span>Plasticity is a widespread feature of development, enabling phenotypic change based on the environment. Although the evolutionary loss of plasticity has been linked both theoretically and empirically to increased rates of phenotypic diversification, molecular insights into how this process might unfold are generally lacking. Here, we show that a regulator of nongenetic inheritance links evolutionary loss of plasticity in nature to changes in plasticity and morphology as selected in the laboratory. Across nematodes of Diplogastridae, which ancestrally had a polyphenism, or discrete plasticity, in their feeding morphology, we use molecular evolutionary analyses to screen for change associated with independent losses of plasticity. Having inferred a set of ancestrally polyphenism-biased genes from phylogenetically informed gene-knockouts and gene-expression comparisons, selection signatures associated with plasticity's loss identify the histone H3K4 di/monodemethylase gene <em>spr-5</em>/<em>LSD1</em>/<em>KDM1A</em>. Manipulations of this gene affect both sensitivity and variation in plastic morphologies, and artificial selection of manipulated lines drives multigenerational shifts in these phenotypes. Our findings thus give mechanistic insight into how traits are modified as they traverse the continuum of greater to lesser environmental sensitivity.</span></p>
Data from: Phylogenetic conflict between species tree and maternally inherited gene trees in a clade of Emberiza buntings (Aves: Emberizidae)
<p>Different genomic regions may reflect conflicting phylogenetic topologies on account of incomplete lineage sorting and/or gene flow. Genomic data are necessary to reconstruct the true species tree and explore potential causes of phylogenetic conflict. Here, we investigate the phylogenetic relationships of four <em>Emberiza</em> species (Aves: Emberizidae) and discuss the potential causes of the observed mitochondrial non-monophyly of <em>Emberiza godlewskii</em> (Godlewski's bunting) using phylogenomic analyses based on whole genome resequencing data from 41 birds. Phylogenetic analyses based on both the whole mitochondrial genome and ~39 kilobases from the non-recombining W chromosome reveal that the northern and southern populations of <em>E. godlewskii</em> are each sister to <em>E. cioides</em> and <em>E. cia</em>, respectively. In contrast, phylogenetic analysis based on genome-wide data support the monophyly of <em>E. godlewskii</em> with the following tree topology: (((<em>E. godlewskii</em>, <em>E. cia</em>), <em>E. cioides</em>), <em>E. jankowskii</em>).<em> </em>Using D-statistics, we detected multiple gene flow events among different lineages, indicating pervasive introgressive hybridization within this clade. Introgression from an unsampled lineage that is sister to <em>E. cioides</em> or introgression from an unsampled mitochondrial + W chromosomal lineage of <em>E. cioides</em> into northern <em>E. godlewskii </em>may explain the phylogenetic conflict between the species tree estimated from genome-wide data and mtDNA/W trees. These results underscore the importance of using genomic data for phylogenetic reconstruction and species delimitation.</p>
Data from: Vertically inherited microbiota and environment modifying behaviors conceal genetic variation in dung beetle life history
<p>Diverse organisms actively manipulate their (sym)biotic and physical environment in ways that feedback on their own development. However, the degree to which these processes affect microevolution remains poorly understood. The gazelle dung beetle both physically modifies its ontogenetic environment and structures its biotic interactions through vertical symbiont transmission. By experimentally eliminating i) physical environmental modifications, and ii) the vertical inheritance of microbes, we assess how environment modifying behavior and microbiome transmission shape heritable variation. We found that depriving larvae from symbionts and environment modifying behaviors increased additive genetic variance and heritability for development time but not body size. This suggests that larvae's ability to manipulate their environment has the potential to modify heritable variation and to facilitate the accumulation of cryptic genetic variation. This cryptic variation may become released and selectable when organisms encounter environments that alter the degree to which they can be manipulated. Furthermore, we found heritable variation for the response to the elimination of environmental modifications, indicating that genotypes differ in their dependence on the ability to manipulate their environment. Our findings highlight that the ability of organisms to actively manipulate their environment may affect the potential of populations to evolve when encountering novel, stressful conditions.</p>
Data from: Inheritance of DNA methylation differences in the mangrove Rhizophora mangle
<p>This record contains supplementary information for the article "Inheritance of DNA methylation differences in the mangrove Rhizophora mangle" published in Evolution&Development. It contains the barcodes (barcodes.txt), the reference contigs (contigs.fasta.gz), the annotation of the reference contigs (mergedAnnot.csv.gz), the SNPs (snps.vcf.gz), the methylation data (methylation.txt.gz), and the experimental design (design.txt). All data are unfiltered. Short reads are available on SRA (PRJNA746695). Note that demultiplexing of the pooled reads (SRX11452376) will fail because the barcodes are already removed and the header information is lost during SRA submission. Instead, use the pre-demultiplexed reads that are as well linked to PRJNA746695.</p> <p><br> </p> <p><strong>Table S13 (TableS13_DSSwithGeneAnnotation.offspringFams.csv.gz): </strong></p> <p>Differential cytosine methylation between families using the mother data set. The first three columns fragment number ("chr"), the position within the fragment ("pos"), and the sequence context ("context"). Columns with the pattern FDR_<X>_vs_<Y> contain false discovery rates of a test comparing population X with population Y. Average DNA methylation levels for each population are given in the columns "AC", "FD", "HI", "UTB", "WB", and "WI". The remaining columns contain the annotation of the fragment, for example whether it matches to a gene and if yes, the gene name ID and description are provided.</p>
A protective HLA extended haplotype outweighs the major COVID-19 risk factor inherited from Neanderthals in the Sardinian population
<p>Sardinia has one of the lowest incidences of hospitalization and related mortality in Europe. In this dataset we reported 358 patients with COVID-19, in which we evaluated the frequency of the Neanderthal risk locus variant on chromosome 3 (rs35044562), considered to be a major risk factor for a severe SARS-CoV-2 disease course.</p>
Geomorphic expressions of active rifting reflect the role of structural inheritance: A new model for the evolution of the Shanxi Rift, North China
<p>A geopackage and associated raster files for the geomorphic indices that were used in this study. Can be opened with the freely available QGIS software. Excel table of fault values used for generation of violin plots in R</p>
Fig. 1 in Simulation modelling as a decision support in developing a sterile insect-inherited sterility release strategy for Eldana saccharina (Lepidoptera: Pyralidae)
Fig. 1. The system designed for simulating pest species dynamics in sugarcane.
Fig. 2 in Methods to separate Lobesia botrana (Lepidoptera: Tortricidae) males from females for the implementation of sterile insect-inherited sterility technique control tactics
Fig. 2. Fifh instar larvae of Lobesia botrana indicating various shades of blue and green.
Data from: Non-inheritable risk factors during pregnancy for congenital heart defects in offspring: a matched case-control study
<p>Data analyzed in "Non-inheritable risk factors during pregnancy for congenital heart defects in offspring: a matched case-control study". The data provided by the authors to benefit other researchers. The posted materials are not copyedited and are the sole responsibility of the authors, so questions should be addressed to the corresponding author.</p>
Interpretation of inherited risk signals using genetic algorithms
<p>This tarball contains the pre-processed data in .Rda files and code in .Rmd file required to execute the genetic algorithm model and compile figures in this study.</p>
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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.
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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.