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278 results for “compatibility”
Mating compatibility and fertility studies in an herbaceous perennial undergoing de novo domestication
<p>De novo domestication has received recent attention because of the potential to produce new crop species with niche agroecosystem functions and useful products for climate-resilient agricultural systems of the future. However, there are often deficiencies in wild species that make them difficult to domesticate, including a mating system that is incompatible with preferred plant breeding methods and the lack of standing variation for certain traits requiring improvement. We evaluated a continuum of mating from self-pollination to interspecific hybridization in <em>Silphium integrifolium</em> and <em>S. perfoliatum</em> to determine the extent of possible gene flow between the species, and the potential for fixation of favorable domestication genes by self-pollination. Our results indicate that interspecific hybrids can be developed, potentially facilitating movement of traits from one species to another. Further, self-pollination is also possible in both species and their interspecific hybrids, but the rate is variable based on genotype. This has profound implications for using standard plant breeding and plant genetic methods in the study and improvement of these species.</p>
Data base for Re(VII) diffusion in compated montmorillonite, Na-bentonite and illite/smectite mixed layer
<p>The diffusion behavior of Re(VII) in compacted montmorillonite, Na-bentonite and illite/smectite mixed layer was investigated by a through-diffusion method and a pore-scale modeling. Donnan and a multi-porosity modeling were employed to compare with the pore-scale modeling, which can capture the overlapped electrical double layer. This dataset contains a through-diffusion experimental data and simulations data, which is calculated byincluding a pore-scale modeling, Donnan theory and a multi-porosity modeling.</p>
Data from: Modeling the mito-nuclear compatibility and its role in species identification
<p>Mitochondrial genetic material (mtDNA) is widely used for phylogenetic reconstruction and as a barcode for species identification. The utility of mtDNA in these contexts derives from its particular molecular properties, including its high evolutionary rate, uniparental inheritance, and small size. But mtDNA may also play a fundamental role in speciation -- as suggested by recent observations of coevolution with the nuclear DNA, along with the fact that respiration depends on coordination of genes from both sources. Here we study how mito-nuclear interactions affect the accuracy of species identification by mtDNA, as well as the speciation process itself. We simulate the evolution of a population of individuals who carry a recombining nuclear genome and a mitochondrial genome inherited maternally. We compare a null model fitness landscape that lacks any mito-nuclear interaction against a scenario in which interactions influence fitness. Fitness is assigned to individuals according to their mito-nuclear compatibility, which drives the coevolution of the nuclear and mitochondrial genomes. Depending on the model parameters, the population breaks into distinct species and the model output then allows us to analyze the accuracy of mtDNA barcode for species identification. Remarkably, we find that species identification by mtDNA is equally accurate in the presence or absence of mito-nuclear coupling and that the success of the DNA barcode derives mainly from population geographical isolation during speciation. Nevertheless, selection imposed by mito-nuclear compatibility influences the diversification process and leaves signatures in the genetic content and spatial distribution of the populations, in three ways. First, speciation is delayed and the resulting phylogenetic trees are more balanced. Second, clades in the resulting phylogenetic tree correlate more strongly with the spatial distribution of species and clusters of more similar mtDNA's. Third, there is a substantial increase in the intraspecies mtDNA similarity, decreasing the number of alleles substitutions per locus and promoting the conservation of genetic information. We compare the evolutionary patterns observed in our model to empirical data from copepods (<em>T. californicus</em>). We find good qualitative agreement in the geographic patterns and the topology of the phylogenetic tree, provided the model includes selection based on mito-nuclear interactions. These results highlight the role of mito-nuclear compatibility in the speciation process and its reconstruction from genetic data.</p>
Assessment of Compatibility of Mineral Aggregates and Binders Used In Highway Construction and Maintenance Projects
<p>Stripping and delamination have been deemed as some of the major premature pavement distresses to most state Departments of Transportations (DOTs) and highway agencies including the Arkansas Department of Transportation (ARDOT). It is believed that the poor compatibility between asphalt binders and aggregates is one of the major reasons behind this. This study aims to analyze the compatibility of selected asphalt binders and aggregates used in Arkansas. Asphalt binders used in this study include PG 64-22, PG 70-22, and PG 76-22; each prepared from two different crude courses. Additionally, four different types of aggregates (sandstone, limestone, gravel, and dolomite) from four different quarries in Arkansas were evaluated in the laboratory. Selected physical and mechanical properties of the aggregates, rheological properties of the asphalt binders, surface free energy (SFE) measurements of the binders and aggregates, atomic force microscopy (AFM) analyses of binders, and limited laboratory and field performance of asphalt mixture samples were evaluated to determine the compatibility between the asphalt binders and aggregates. The findings of this study are expected to help pavement researchers and highway professionals to find suitable asphalt binder-aggregate combinations for constructing the durable pavements.</p>
Data from: Costs of selfing prevent the spread of a self-compatibility mutation that causes reproductive assurance
In flowering plants, shifts from outcrossing to partial or complete self-fertilization have occurred independently thousands of times, yet the underlying adaptive processes are difficult to discern. Selfing's ability to provide reproductive assurance when pollination is uncertain is an oft-cited ecological explanation for its evolution, but this benefit may be outweighed by genetic costs diminishing its selective advantage over outcrossing. We directly studied the fitness effects of a self-compatibility (SC) mutation that was backcrossed into a self-incompatible (SI) population of Leavenworthia alabamica, illuminating the direction and magnitude of selection on the mating-system modifier. In array experiments conducted in two years, SC plants produced 17-26% more seed, but this advantage was counteracted by extensive seed discounting -- the replacement of high-quality outcrossed seeds by selfed seeds. Using a simple model and simulations, we demonstrate that SC mutations with these attributes rarely spread to high frequency in natural populations, unless inbreeding depression falls below a threshold value (0.57 ≤ threshold ≤ 0.70) in SI populations. A combination of heavy seed discounting and moderate inbreeding depression likely explains why outcrossing adaptations such as self-incompatibility are maintained generally, despite persistent input of selfing mutations and frequent limits on outcross seed production in nature.
A lack of genetically compatible mates constrains the spread of an invasive weed
<ul> <li>Introduced populations often experience lag-times prior to invasion, but the mechanisms constraining rapid expansions of introduced populations are unclear. <i>Solidago altissima</i> is a North American native plant with highly invasive Japanese populations, and introduced Australian populations that are not invasive despite the climatic and ecological suitability of the region.</li> <li>By contrasting Australian with Japanese populations, we tested the hypothesis that Australian population growth is limited by a lack of long-distance dispersal via seeds due to limited number of compatible mates. </li> <li>In the field, Australian populations rarely produced viable seeds. A cross-pollination experiment found that Australian plants are fertile, yet lack compatible mates within Australia. Genetic analysis revealed that Australian individuals descend from a small set of self-incompatible genetic clones, which explains the negligible seed set within Australia.</li> <li>Our results show that low genetic diversity, leading to mate incompatibility, inhibits invasiveness of Australian <i>S. altissima</i>, and provides compelling evidence for genetic, rather than ecological, factors constraining invasion in Australia.</li> </ul>
Deformation Compatibility in a Single Crystalline Ni Superalloy
<p>This CurlF raw data folder contains 9 subfolder, which are the main figures in this paper. In each subfolder a raw data and a matlab code to plot such figure are included. Readers can load the source data first into matlab and open matlab script to replicate figures in this paper.</p> <p> The variables in source matlab file are explicitly defined as shown in each the caption of each figure. Comments are added in matlab plot code to explain the structure of it.</p> <p>If Readers need further information, please feel free to contact jun.jiang@imperial.ac.uk</p>
Data from: Compatibility of the fungus Beauveria bassiana and Trichoplusia ni SNPV against the cabbage looper Trichoplusia ni : crop plant matters
<p>BACKGROUND: Microbial insecticides are an important weapon in insect pest management, but their use is still relatively limited. One approach for increasing their efficacy and use could be to combine different pathogens to increase pest mortality. However, little is known about whether increasing pathogen diversity will improve pest management. Here, we investigated the compatibility of two pathogens for the management of the cabbage looper, <em>Trichoplusia ni</em>; T. ni nucleopolyhedrovirus (TniSNPV) and the entomopathogenic fungus <em>Beauveria bassiana </em>on two crops, tomato and broccoli. The pathogens were applied to individual plants using ultra low volume sprays, alone or in combination, either synchronously or asynchronously. Healthy 3rd instar <em>T. ni</em> larvae were introduced to the plants before application and collected by destructive sampling 24h after the last pathogen application.</p> <p>RESULTS: Combined applications did not result in an increase in larval mortality compared to TniSNPV alone, although mortality was generally high. <em>Beauveria bassiana</em> was considerably less effective on broccoli compared to tomato. In both the combined treatments, virus-induced mortality was approximately 50% lower when applied together with the fungus, while fungus-induced mortality was not affected by the virus, even when the virus was introduced 24h before the fungus.</p> <p>CONCLUSION: While our results suggest that applying this combination of entomopathogens would not be beneficial for pest management, this study illustrates the need to consider the target crop as an important driver of the efficacy of both single and mixed pathogen applications in the field.</p>
Gate-Compatible Circuit QED in a Three-Dimensional Cavity Architecture
<p>This repository contains the raw data and processing code of the paper "Gate-Compatible Circuit QED in a Three-Dimensional Cavity Architecture"</p>
Artifacts for Demystifying Device-specific Compatibility Issues in Android apps
<p>This artifact is for the paper "Demystifying Device-specific Compatibility Issues in Android Apps."</p> <p>We include our repositories link, commit hash, our GitHub crawler, its output, and some representative examples for Device-specific compatibility issues in this artifact.</p> <p>Please checkout the README.pdf first. The main artifact pack is the `device-specific-artifacts.zip`.</p> <p>Other zips starting with "repo-" are repositories archives.</p>
Re-postprocessed POSYDON v1.0 dataset, assuming super-Eddington accretion, compatible with code release v2.0.0-pre1
<p>This dataset includes the downsampled data, as well as the trained classification and interpolation models, from the CO-HMS_RLO and CO-HeMS grids calculated with moderately super-Eddington accretion and conservative mass transfer model, at solar metallicity. This dataset is described in <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240700200X/abstract">Xing et al. (2024)</a>. The resolution and stellar and binary physics assumptions follow <a href="https://ui.adsabs.harvard.edu/abs/2023ApJS..264...45F/abstract">Fragos et al. 2023</a>, but the dataset is re-postprocessed to be compatible with POSYDON code release <strong>v2.0.0-pre1</strong> (see <a href="https://ui.adsabs.harvard.edu/abs/2024arXiv241102376A/abstract">Andrews et al. 2024</a>). </p> <p>If you use this dataset, please cite the following papers:</p> <p><a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240700200X/abstract">Xing et al. (2024), eprint arXiv:2407.00200</a><br><a href="https://ui.adsabs.harvard.edu/abs/2023ApJS..264...45F/abstract">Fragos et al. (2023), The Astrophysical Journal Supplement Series, Volume 264, Issue 2, id.45, 46 pp.</a><br><a href="https://ui.adsabs.harvard.edu/abs/2024arXiv241102376A/abstract">Andrews et al. (2024), eprint arXiv:2411.02376</a></p>
Compatible interaction experiment with Aegilops cylindrica infected with Zymoseptoria tritici isolate Zt 469 - CSLM images and videos
<p>Microscopic images and videos from convocal laser scanning microscopy (CLSM) analysis using maximum projections of confocal z-stacks. Cell nuclei and plant tissue are visible in purple, fungal hyphae in green.</p>
Cysteinolic acid is a widely distributed compatible solute of marine microalgae.
<p>This dataset contains raw file of MS and MS/MS spectra of the diatom Thalassiosira weissflogii (both xenic and axenic cultures) and its zwitterionic compatible solutes cysteinolic acid, ectoine, glycine betaine and homarine. </p>
Outcrossing rates in an experimentally admixed population of self-compatible and self-incompatible Arabidopsis lyrata
AbstractThe transition to self-compatibility from self-incompatibility is often associated with high rates of self-fertilization, which can restrict gene flow among populations and cause reproductive isolation of self-compatible (SC) lineages. Secondary contact between SC and self-incompatible (SI) lineages might re-establish gene flow if SC lineages remain capable of outcrossing. By contrast, intrinsic features of SC plants that reinforce high rates of self-fertilization could maintain evolutionary divergence between lineages. Arabidopsis lyrata subsp. lyrata is characterized by multiple origins of self-compatibility and high rates of self-fertilization in SC-dominated populations. It is unclear whether these high rates of selfing by SC plants have intrinsic or extrinsic causes. We estimated outcrossing rates and examined patterns of pollinator movement for 38 SC and 40 SI maternal parents sampled from an admixed array of 1509 plants sourced from six SC and six SI populations grown under uniform density. Although plants from SI populations had higher outcrossing rates (mean tm = 0.78 ± 0.05 SE) than plants from SC populations (mean tm = 0.56 ± 0.06 SE), outcrossing rates among SC plants were substantially higher than previous estimates from natural populations. Patterns of pollinator movement appeared to contribute to lower outcrossing rates for SC plants; we estimated that 40% of floral visits were geitonogamous (between flowers of the same plant). The relatively high rates of outcrossing for SC plants under standardized conditions indicate that selfing rates in natural SC populations of A. lyrata are facultative and driven by extrinsic features of A. lyrata, including patterns of pollinator movement.
Machine reading compatible answers for BIOASQ 2018 Task B Training set
<p>Annotated files of BIOASQ 6B training set compatible with Brat tool.</p>
In‑vitro screening of compatible synbiotics and (introducing) "prophybiotics" as a tool to improve gut health
Open the record for dataset details and reuse information.
Dataset for Structure compatibility of graphite and phases formed from aluminum or magnesium phyllosilicates
<p>Dataset for contribution "Structure compatibility of graphite and phases formed from aluminum or magnesium phyllosilicates" from international conference NANOCON 2024.</p>
Three sex phenotypes in a haploid algal species give insights into the evolutionary transition to a self-compatible mating system
<p>Mating systems of haploid species such as fungi, algae, and bryophytes are either heterothallic (self-incompatible) with two sex phenotypes (male and female, or mating type <i>minus</i> and <i>plus</i> in isogamous species) or homothallic (self-compatible) with only a bisexual phenotype producing zygotes within a clone. The anisogamous volvocine green alga <i>Pleodorina starrii</i> is a haploid species previously reported to have a heterothallic mating system. Here, we found that two additional culture strains originating from the same water system of <i>P. starrii</i> were taxonomically identified as <i>P. starrii</i> and produced male and female gametes and zygotes within a clone (bisexual). Sequences of rapidly evolving plastid genome regions were identical between the bisexual and unisexual (male or female) <i>P. starrii</i> strains. Intercrossings between the bisexual and unisexual strains demonstrated normal thick-walled zygotes and high survivability of F1 strains. Thus, these strains belong to the same biological species. <i>P. starrii</i> has a new haploid mating system that is unique in having three sex phenotypes; namely, male, female, and bisexual. Genetic analyses suggested the existence of autosomal "bisexual factor" locus independent of volvocine male and female determining regions. The present findings increase our understanding of the initial evolutionary step of transition from heterothallism to homothallism.</p>
X-ray scattering datasets and simulations associated with the publication "Bio-SAXS of Single-Stranded DNA-Binding Proteins: Radiation Protection by the Compatible Solute Ectoine"
<p>This dataset contains the processed and analysed small-angle X-ray scattering data associated with all samples from the publications "Bio-SAXS of Single-Stranded DNA-Binding Proteins: Radiation Protection by the Compatible Solute Ectoine" (<a href="https://doi.org/10.1039/D2CP05053F">https://doi.org/10.1039/D2CP05053F</a>)</p> <p>Files associated with McSAS3 analyses are included, alongside the relevant SAXS data, with datasets labelled in accordance to the protein (G5P), its concentration (1, 2 or 4 mg/mL), and if Ectoine is present (Ect) or absent (Pure). PEPSIsaxs simulations of the GVP monomer (PDB structure: 1GV5 ) and dimer are also included.[1]</p> <p>TOPAS-bioSAXS-dosimetry extension for TOPAS-nBio based particle scattering simulations can be obtained from <a href="https://github.com/MarcBHahn/TOPAS-bioSAXS-dosimetry">https://github.com/MarcBHahn/TOPAS-bioSAXS-dosimetry</a> which is further described in <a href="https://doi.org/10.26272/opus4-55751">https://doi.org/10.26272/opus4-55751</a>.</p> <p>This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant number 442240902 (HA 8528/2-1 and SE 2999/2-1). We acknowledge Diamond Light Source for time on Beamline B21 under Proposal SM29806. This work has been supported by iNEXT-Discovery, grant number 871037, funded by the Horizon 2020 program of the European Commission.</p> <p>[1] S. Su, Y.-G. Gao, H. Zhang, T. C. Terwilliger and A. H.-J. Wang, Protein Science, 1997, 6, 771–780.</p> <p> </p> <p><br> </p>
Evaluation of Compatibility among Network Adjustment Software - Results from the JAG3D software package
<p>Together with colleagues from Conservatoire National des Arts et Métiers (CNAM), European Organization for Nuclear Research (CERN), and School of Management and Engineering Vaud (HEIG-VD), we evaluated the compatibility among network adjustment software packages. A detailed description of the procedure and the results was presented at the 5th Joint International Symposium on Deformation Monitoring JISDM 2022.</p> <p>We compared the results of several geodetic networks using software packages developed by the authors' institutions, namely Compensation de Mesures Topographiques (CoMeT), Logiciel Général de Compensation (LGC), Trinet+ as well as JAG3D. Moreover, we included further commercial software packages such as Columbus, Geolab, Move3 and Star*Net. The networks differ mainly in their extent, i.e. the side length and the height. Whereas the smallest network is about 30 m, the largest network under consideration is about 40 km. The height component varies in a range from 30 m to 2.5 km. The raw data and the obtained results can be found on the official CNAM website <a href="https://comet.esgt.cnam.fr/comparisons">comet.esgt.cnam.fr/comparisons</a>. This data set contains the raw data, the JAG3D database as well as the adjustment results.</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.
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.