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173 results for “evolutionary dynamics”
Supporting Data: ontophylo: Reconstructing the evolutionary dynamics of phenomes using new ontology-informed phylogenetic methods
<p>This dataset contains all scripts and data for reproducing the analyses of the paper. The README files contain additional information.</p>
Developmental timing of programmed DNA elimination in Paramecium tetraurelia recapitulates germline transposon evolutionary dynamics
<p>With its nuclear dualism, the ciliate <em>Paramecium</em> constitutes an original model to study how host genomes cope with transposable elements (TEs). <em>P. tetraurelia</em> harbors two germline micronuclei (MIC) and a polyploid somatic macronucleus (MAC) that develops from the MIC at each sexual cycle. Throughout evolution, the MIC genome has been continuously colonized by TEs and related sequences that are removed from the somatic genome during MAC development. Whereas TE elimination is generally imprecise, excision of ~45000 TE-derived Internal Eliminated Sequences (IESs) is precise, allowing for functional gene assembly. Programmed DNA elimination is concomitant with genome amplification. It is guided by non-coding RNAs and repressive chromatin marks. A subset of IESs are excised independently of this epigenetic control, raising the question of how they are targeted for elimination. To gain insight into the determinants of IES excision, we determined the developmental timing of DNA elimination genome-wide by combining fluorescence-assisted nuclear sorting with next-generation sequencing. Essentially all IESs are excised within one endoduplication round only (32C to 64C), while TEs are eliminated at a later stage. We show that time, rather than replication, controls the progression of DNA elimination. Further analyses defined four IES classes according to excision timing and revealed that the earliest excised IESs tend to be independent of epigenetic factors, display strong sequence signals at their ends and originate from the most ancient integration events. We conclude that old IESs have been optimized during evolution for early and accurate excision, by acquiring stronger sequence determinants and escaping epigenetic control.</p>
Evolutionary dynamics of mycorrhizal symbiosis in land plant diversification - phylogenetic data
<p>This submission supplements the manuscript entitled <em>Evolutionary dynamics of mycorrhizal symbiosis in land plant diversification</em> by <strong>Frida A.A. Feijen, Rutger A. Vos, Jorinde Nuytinck & Vincent S.F.T. Merckx.</strong></p> <p>The contents of this submission are dating analysis results for rootings of the land plant topology. Contains the following files:</p> <ul> <li>*.log.gz BEAST logs</li> <li>*.trees.gz BEAST trees</li> <li>*.tiff screen dumps of tracer, showing the burn-in</li> <li>*.consensus.trees produced with treeannotator</li> </ul> <p><strong>For more information</strong>: https://github.com/naturalis/mycorrhiza/tree/v1.0.0</p>
Science ready spectra and their best-fitting models described in the research paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al.
<p>Science ready spectra of nine ultra-diffuse galaxies in the Coma cluster collected with the Binospec multi-object spectrograph and their best-fitting PEGASE.HR templates obtained using the NBursts full spectrum fitting code. These spectra were presented in the paper ``Internal dynamics and stellar content of nine ultra-diffuse galaxies in the Coma cluster prove their evolutionary link with dwarf early-type galaxies'' by Chilingarian et al. accepted for publication in the Astrophysical Journal on Sep/3/2019 (arXiv:1901.05489).</p> <p>Each spectrum is presented as a binary FITS table, which contains a spectrum (wavelength, flux, uncertainties), best-fitting template, best-fitting parameters (radial velocity, age, metallicity), and a pixel mask used in the fitting procedure. For six galaxies there are two files provided: (i) one-dimensional optimally extracted integrated spectrum and (ii) two dimensional spectrum for spatially resolved radial velocity information. For the remaining three galaxies, only spatially resolved spectra are provided.</p>
Dynamic evolutionary interplay between ontogenetic skull patterning and whole-head integration
<p>Data and code for the analysis in Ollonen et al., 2024, Dynamic evolutionary interplay between ontogenetic skull patterning and whole-head integration, Nature Ecology and Evolution. </p> <p>Raw landmark data, R scripts for the analysis and surface files used for the analysis as well as figure visualisations. </p> <p>Cite the original article, not the dataset citation!!!</p>
Eco-evolutionary dynamics of anthelmintic resistance in soil-transmitted helminths
<p>Anthelmintic resistance (AR) of helminth parasites against the most widely available drugs is an ongoing concern for both human and livestock-infecting species. Indeed, there has been substantial evidence of AR in livestock but less in humans, which may be due to a variety of reasons. In this paper, we develop an eco-evolutionary model that couples the life cycle of these parasites with their underlying evolution in a single biallelic genetic locus that confers resistance to treatment drugs. We determine the critical treatment frequency needed to effectively eliminate the population, for a fixed drug efficacy (without evolution) and use this to classify three qualitative distinct behaviors of the eco-evolutionary model. Then, we describe how aspects of the life cycle influence which qualitative outcome is achieved and the spread of the resistance allele, comparing across human- and livestock- infecting species. For all but one species, we find that lower fecundity rates and lower contact rates speed the spread of resistance, while lower larval death slows it down. The life cycle parameters of <em>Ancylostoma duodenale</em> and <em>Ostertagia circumcincta</em> are associated with the fastest and slowest spread of resistance, respectively. We discuss the mechanistic reason for these results.</p>
Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory
<p><span>The spatial organization of genes within plant genomes can drive evolution of specialized metabolic pathways. In this study we investigated the origin and subsequent evolution of a diterpenoid biosynthetic gene cluster (BGC) present throughout the Lamiaceae (mint) family. Terpenoids are important specialized metabolites in plants with </span><span>diverse</span><span> adaptive functions that enable environmental interactions, such as chemical defense. Based on core genes found in the BGCs of all species examined across the Lamiaceae, we predict a simplified version of this cluster evolved in an early Lamiaceae ancestor. The current composition of the extant BGCs highlights the dynamic nature of its evolution. We elucidate the terpene backbones made by the </span><span>Callicarpa americana</span><span> BGC enzymes, including miltiradiene and the novel terpene (+)-kaurene, and show oxidization activities of BGC cytochrome P450s. Our work reveals the fluid nature of BGC assembly and the importance of genome structure in contributing to the origin of novel metabolites.</span></p>
Results and code associated with «Predictability of ecological and evolutionary dynamics in a changing world»
<p>Below you'll find results and code associated with the following article (*):</p> <p>Bozzuto, C, Ives, AR (2024): Predictability of ecological and evolutionary dynamics in a changing world. <em>Proceedings of the Royal Society B</em>, <strong>291</strong>: 20240980. https://doi.org/10.1098/rspb.2024.0980</p> <p>ABSTRACT: Ecological and evolutionary predictions are being increasingly employed to inform decision-makers confronted with intensifying pressures on biodiversity. For these efforts to effectively guide conservation actions, knowing the limit of predictability is pivotal. In this study, we provide realistic expectations for the enterprise of predicting changes in ecological and evolutionary observations through time. We begin with an intuitive explanation of predictability (the extent to which predictions are possible) employing an easy-to-use metric, predictive power <em>PP</em>(<em>t</em>). To illustrate the challenge of forecasting, we then show that among insects, birds, fishes and mammals, (i) 50% of the populations are predictable at most 1 year in advance and (ii) the median 1-year-ahead predictive power corresponds to a prediction <em>R</em><sup>2</sup> of only 20%. Predictability is not an immutable property of ecological systems. For example, different harvesting strategies can impact the predictability of exploited populations to varying degrees. Moreover, incorporating explanatory variables, accounting for time trends and considering multivariate time series can enhance predictability. To effectively address the challenge of biodiversity loss, researchers and practitioners must be aware of the information within the available data that can be used for prediction and explore efficient ways to leverage this knowledge for environmental stewardship.</p> <p>(*) previously a preprint on <em>bioRxiv</em>: https://doi.org/10.1101/2023.11.01.565089</p>
lexibank/powerma: Evolutionary Dynamics in the Dispersal of Sign Languages
<p>CLDF dataset accompanying the study "Evolutionary Dynamics in the Dispersal of Sign Languages"</p>
Processed data for "Characterising the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTER"
<p>This dataset contains the processed data for the figures and analyses performed in the publication "Characterising the evolutionary dynamics of cancer proliferation in single-cell clones with SPRINTER" from Lucas O., Ward S., Zaidi R., Bunkum A., ..., Zaccaria S. Nature genetics, in press, 2024.</p> <p>The processed data are separated into three respective folders:</p> <ul> <li>GT contains all the data related to the analysis of the generated ground truth datasets;</li> <li>NSCLC contains all the data related to the analysis of the NSCLC dataset;</li> <li>TNBC_HGSC contains all the data related to the analysis of the TNBC and HGSC datasets. </li> </ul>
Data from: Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.
<p>This data accompanies the paper entitled <strong><em>Biochemical, structural and dynamical characterizations of the lactate dehydrogenase from Selenomonas ruminantium provide information about an intermediate evolutionary step prior to complete allosteric regulation acquisition in the super family of lactate and malate dehydrogenases.</em></strong></p> <p>The zip archive contains the results of molecular dynamics simulations of the 2 systems investigated in the paper: <em>S. rum</em> and <em>T. mar</em> LDHs. The systems have been simulated at 315 K for <em>S. rum </em>and 340 K for <em>T. mar</em>. Final configurations of the proteins after productions are provided for all the systems in GRO Gromos87 format. Trajectories with the positions of the proteins every 100 ps are provided for all the systems in XTC gromacs format.</p>
Genomic features for adaptation and evolutionary dynamics of four Asian domestic carps
<p><span>The four major Asian domestic carps, namely grass carp, black carp, bighead carp, and silver carp, belonging to <span>Cypriniformes, <span>and are among the most important aquaculture species and sources of animal protein in China. they <span>have similar habitats, closely phylogenetic relationships, and large body sizes. However, they differ in their diet preferences, behavior, and physical traits. Here, to better understand their evolution, we generated the chromosome-level genomes of the four domestic carps. We uploaded the assembled genomes of four carps, the gene annotation files in gff format of four carps, the protein sequences files of four carps, and the analysis code or pipeline used in the article, and the readme file. This study <span>shed light on the genomic bases</span><span> driving species divergence and adaptation, providing valuable insights for future research in this field.</span></span></span></span></span></p>
Genomic features for adaptation and evolutionary dynamics of four Asian domestic carps
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Eco-evolutionary dynamics of anthelmintic resistance in soil-transmitted helminths
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Uncovering a miltiradiene biosynthetic gene cluster in the Lamiaceae reveals a dynamic evolutionary trajectory
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Data and input supporting: Evolutionary dynamics of counter-helical magnetic flux ropes
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Eco‐evolutionary dynamics driven by fishing: from single species models to dynamic evolution within complex food webs
<p>Evidence of contemporary evolution across ecological time scales stimulated research on the eco-evolutionary dynamics of natural populations. Aquatic systems provide a good setting to study eco-evolutionary dynamics owing to a wealth of long-term monitoring data and the detected trends in fish life-history traits across intensively harvested marine and freshwater systems. In the present study, we focus on modelling approaches to simulate eco-evolutionary dynamics of fishes and their ecosystems. Firstly, we review the development of modelling from single-species to multispecies approaches. Secondly, we advance the current state-of-the-art methodology by implementing evolution of life-history traits of a top predator into the context of complex food web dynamics as described by the allometric trophic network (ATN) framework. The functioning of our newly developed eco-evolutionary ATNE framework is illustrated using a well-studied lake food web. Our simulations show how both natural selection arising from feeding interactions and size-selective fishing cause evolutionary changes in the top predator and how those feed back to its prey species and further cascade down to lower trophic levels. Finally, we discuss future directions, particularly the need to integrate genomic discoveries into eco-evolutionary projections.</p>
Trophic cascades alter eco-evolutionary dynamics and body size evolution
<p><span class="MsoIntenseEmphasis"><span>Trait evolution in predator-prey systems can feed back to the dynamics of interacting species as well as cascade to impact the dynamics of indirectly linked species (eco-evolutionary trophic cascades; EETC). A key mediator of trophic cascades is body mass, as it both strongly influences and evolves in response to predator-prey interactions. Here we use Gillespie Eco-Evolutionary Models to explore EETCs resulting from top predator loss and mediated by body mass evolution. Our four trophic level food chain model uses allometric scaling to link body mass to different functions (ecological pleiotropy) and is realistically parameterized from the FORAGE database to mimic the parameter space of a typical freshwater system. To track real-time changes in selective pressures, we also calculated fitness gradients for each trophic level. As predicted, top predator loss generated alternating shifts in abundance across trophic levels, and depending on the nature and strength in changes to fitness gradients, also altered trajectories of body mass evolution. Although more distantly linked, changes in the abundance of top predators still affected the eco-evolutionary dynamics of the basal producers, in part because of their relatively short generation times. Overall, our results suggest that impacts on top predators can set off transient eco-evolutionary trophic cascades with the potential for widespread indirect impacts on food webs.</span></span></p>
Evolutionary dynamics of structural variation at a key locus for color pattern diversification in cichlid fishes
<p>Color patterns in African cichlid fishes vary spectacularly. Although phylogenetic analysis showed already 30 years ago that many color patterns evolved repeatedly in these adaptive radiations, only recently have we begun to understand the genomic basis of color variation. Horizontal stripe patterns evolved and were lost several times independently across the adaptive radiations of Lake Victoria, Malawi, and Tanganyika and regulatory evolution of agouti-related peptide 2 (agrp2/asip2b) has been linked to this phenotypically labile trait. Here, we asked whether the agrp2 locus exhibits particular characteristics that facilitate divergence in color patterns. Based on comparative genomic analyses, we discovered several recent duplications, insertions, and deletions. Interestingly, one of these events resulted in a tandem duplication of the last exon of agrp2. The duplication likely precedes the East African radiations that started 8–12 Ma, is not fixed within any of the radiations, and is found to vary even within some species. Moreover, we also observed variation in copy number (two to five copies) and secondary loss of the duplication, illustrating a surprising dynamic at this locus that possibly promoted functional divergence of agrp2. Our work suggests that such instances of exon duplications are a neglected mechanism potentially involved in the repeated evolution and diversification that deserves more attention.</p>
Molecular Dynamics Simulations and associated data for: Mechanistic and evolutionary insights into isoform-specific 'supercharging' in DCLK family kinases
<p>Catalytic signaling outputs of protein kinases are dynamically regulated by an array of structural mechanisms, including allosteric interactions mediated by intrinsically disordered segments flanking the conserved catalytic domain. The Doublecortin Like Kinases (DCLKs) are a family of microtubule-associated proteins characterized by a flexible C-terminal autoregulatory 'tail' segment that varies in length across the various human DCLK isoforms. However, the mechanism whereby these isoform-specific variations contribute to unique modes of autoregulation is not well understood. Here, we employ a combination of statistical sequence analysis, molecular dynamics simulations and in vitro mutational analysis to define hallmarks of DCLK family evolutionary divergence, including analysis of splice variants within the DCLK1 sub-family, which arise through alternative codon usage and serve to 'supercharge' the inhibitory potential of the DCLK1 C-tail. We identify co-conserved motifs that readily distinguish DCLKs from all other Calcium Calmodulin Kinases (CAMKs), and a 'Swiss-army' assembly of distinct motifs that tether the C-terminal tail to conserved ATP and substrate-binding regions of the catalytic domain to generate a scaffold for auto-regulation through C-tail dynamics. Consistently, deletions and mutations that alter C-terminal tail length or interfere with co-conserved interactions within the catalytic domain alter intrinsic protein stability, nucleotide/inhibitor-binding, and catalytic activity, suggesting isoform-specific regulation of activity through alternative splicing. Our studies provide a detailed framework for investigating kinome–wide regulation of catalytic output through cis-regulatory events mediated by intrinsically disordered segments, opening new avenues for the design of mechanistically-divergent DCLK1 modulators, stabilizers or degraders.</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.