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276 results for “functional adaptation”
Data from A functional transcriptomics analysis in the relict marsupial Dromiciops gliroides reveals adaptive regulation of protective functions during hibernation
<p>This dataset contains files with the differentially expressed genes, raw counts, DESeq2 analyses and assembled transcriptome of D. gliroides. This information is linked to the manuscript published in Molecular Ecology.</p>
Data from: The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function
<p>An underexplored question in evolutionary genetics concerns the extent to which mutational bias in the production of genetic variation influences outcomes and pathways of adaptive molecular evolution. In the genomes of at least some vertebrate taxa, an important form of mutation bias involves changes at CpG dinucleotides: If the DNA nucleotide cytosine (C) is immediately 5' to guanine (G) on the same coding strand, and if the C is methylated, then C→T and G→A mutations occur at an elevated rate relative to mutations at non-CpG sites. Here we examine experimental data from case studies in which it has been possible to identify the causative substitutions that are responsible for adaptive changes in the functional properties of vertebrate hemoglobin (Hb). Specifically, we examine the molecular basis of convergent increases in Hb-O<sub>2</sub> affinity in high-altitude birds. Using a data set of experimentally verified, affinity-enhancing mutations in the Hbs of highland avian taxa, we tested whether causative changes are enriched for mutations at CpG dinucleotides relative to the frequency of CpG mutations among all possible missense mutations. The tests revealed that a disproportionate number of causative amino acid replacements were attributable to CpG mutations, demonstrating that mutation bias can influence outcomes of molecular adaptation.</p>
Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning
<p>Adaptation of communities to environmental fluctuations can emerge from different facets of biodiversity, which may impact ecosystem functioning differently. Previous work examined how ecosystem functions can be influenced by two sources of adaptive potential: sorting (i.e., changes in community composition due to fitness differences) can occur when multiple species or groups are present (richness), and trait adaptability (i.e., trait adjustments within species or functional groups) can emerge from genetic or phenotypic diversity. However, their effect is typically studied separately, and often in the context of only one trophic level. Therefore, we used a bitrophic trait-based model varying in richness and in the presence of trait adaptability at each trophic level, to investigate how sorting and trait adaptability, at one or two trophic levels, separately or jointly shape ecosystem functions. We found that the adaptive potential emerging from any facet of diversity-induced changes in trophic interactions, in turn, affects biomass distributions within and across trophic levels, dynamical behaviour, and synchrony of biomass dynamics within a trophic level. Particularly, sorting and trait adaptability could contribute to a similar degree and at a similar time to temporal changes in ecosystem functions, but their respective contribution depended on the speed of trait adaptation, the trait range between similar functional groups, and trophic interactions. We thus suggest to consider multiple facets of diversity and their corresponding sources of adaptive potential to deepen our mechanistic understanding of ecosystem functioning, especially in a context of rapid biodiversity change.</p>
CX-MS Datasets for "Comprehensive Structure and Functional Adaptations of the Yeast Nuclear Pore Complex"
<p>This repository contains chemical cross-linking mass spectrometry data of affinity-purified Yeast nuclear pore complexes.</p> <p>Data Files Description:</p> <p>NPC_XL_Identification_Inter_Crosslinked.csv: Inter-protein cross-links identified by pLink 2.</p> <p>NPC_XL_spectra.mgf: MS2 spectra data for the identified cross-links.</p> <p>NPC_XL_proteins.fasta : Protein sequences used for search.</p> <p>Sample Processing:</p> <p>NPCs were immuno-purified from Mlp1 tagged S. cerevisiae strains (Kim et al., 2018). After native elution, 1.0 mM disuccinimidyl suberate (DSS) was added and the sample was incubated at 25ºC for 40 min with shaking (1,200 rpm). The reaction was quenched by adding a final concentration of 50 mM freshly prepared ammonium bicarbonate and incubating for 20 min with shaking (1,200 rpm) at 25ºC. The sample (50 µg) was then concentrated and denatured at 98ºC for 5 min in a solubilization buffer (10% solution of 1-dodecyl-3-methylimidazolium chloride (C12-mim-Cl) in 50 mM ammonium bicarbonate, pH 8.0, 100 mM DTT). After denaturation, the sample was centrifuged at 21,130 g for 10 min and the supernatant was transferred to a 100 kDa MWCO ultrafiltration unit (MRCF0R100, Microcon). The sample was quickly spun at 1,000 g for 2 min and washed twice with 50 mM ammonium bicarbonate. After alkylation (50 mM iodoacetamide), the cross-linked NPC in-filter was digested by trypsin and lysC O/N at 37ºC. After proteolysis, the sample was recovered by centrifugation and peptides were fractionated into 10-12 fractions by using a stage tip self-packed with basic C18 resins (Dr. Masch GmbH). Fractionated samples were pooled prior to LC/MS analysis.</p> <p>Desalted cross-link peptides were dissolved in the sample loading buffer (5% Methanol, 0.2% FA), separated with an automated nanoLC device (nLC1200, Thermo Fisher), and analyzed by an Orbitrap Q Exactive HFX (Pharma mode) mass spectrometer (Thermo Fisher) as previously described (Xiang et al., 2020; Xiang et al., 2021). Briefly, peptides were loaded onto an analytical column (C18, 1.6 μm particle size, 100 Å pore size, 75 μm × 25 cm; IonOpticks) and eluted using a 120-min liquid chromatography gradient. The flow rate was approximately 300 nl/min. The spray voltage was 1.7 kV. The QE HF-X instrument was operated in the data-dependent mode, where the top 10 most abundant ions (mass range 380 – 2,000, charge state 4 - 8) were fragmented by high-energy collisional dissociation (HCD). The target resolution was 120,000 for MS and 15,000 for tandem MS (MS/MS) analyses. The quadrupole isolation window was 1.8 Th; the maximum injection time for MS/MS was set at 200 ms.</p> <p>Data Processing:</p> <p>The raw data were searched with pLink2 (Chen et al., 2019b). An initial MS1 search window of 5 Da was allowed to cover all isotopic peaks of the cross-linked peptides. The data were automatically filtered using a mass accuracy of MS1 ≤ 10 ppm (parts per million) and MS2 ≤ 20 ppm of the theoretical monoisotopic (A0) and other isotopic masses (A+1, A+2, A+3, and A+4) as specified in the software. Other search parameters included cysteine carbamidomethyl as a fixed modification and methionine oxidation as a variable modification. A maximum of two trypsin missed-cleavage sites was allowed. The initial search results were obtained using a default 5% false discovery rate (FDR) expected by the target-decoy search strategy. Spectra were manually verified to improve data quality (Kim et al., 2018; Shi et al., 2014). Cross-linking data were analyzed and plotted with CX-Circos (http://cx-circos.net).</p>
Supplementary Data to *Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data*
<p>Supplementary code and data to <strong>Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data</strong> by <strong>Y. Schaelte et al., 2021</strong>.</p> <p>The archive contains a <strong>README.rst </strong>for information on what is where and how to execute the study and generate the figures. The underlying code without the data can be found at the repository https://github.com/yannikschaelte/study_abc_rad, of which this archive is a snapshot.</p> <p> </p>
Fig. 1 in Functional And Ecological Adaptations Of Several Acaridid Mite Species (Acariformes, Astigmata) For Feeding On Stored Produce
Fig. 1. Cluster analysis of similarity of acaridid complexes in studied substrates (Ward's method, correlation coefficient 0.5844).
Replicated functional evolution in cichlid adaptive radiations
<p>Adaptive radiations highlight the mechanisms by which species and traits diversify and the extent to which these patterns are predictable. We used 1,110 high-speed videos of suction feeding to study functional and morphological diversification in 300 cichlid species from three African Great Lake radiations of varying ages (Victoria, Malawi and Tanganyika) and an older, spatially dispersed continental radiation in the Neotropics. Among African radiations, standing diversity was reflective of time. Morphological and functional variance in Lake Victoria, the youngest radiation, was a subset of that within Lake Malawi, which itself was nested within the older Tanganyikan radiation. However, functional diversity in Neotropical cichlids was often lower than in Lake Tanganyika, despite being much older. These two radiations broadly overlapped, but each diversified into novel trait spaces not found in the youngest lake radiations. Evolutionary rates across radiations were inversely related to age, suggesting extremely rapid trait evolution at early stages, particularly in lake radiations. Despite this support for early bursts, other patterns of trait diversity were inconsistent with expectations of adaptive radiations. This work suggests that cichlid functional evolution has played out in strikingly similar fashion in different radiations, with contingencies eventually resulting in lineage-specific novelties.</p>
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
<p>Data Package for "Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection"</p> <p>This package contains data generated as part of our experiments on adaptive fitness function selection as part of unit test generation for Java systems.</p> <p>This paper is currently under submission. A draft of the paper is included in the data package.</p> <p>This package contains experimental data (in folder "experiment_data"), including goal attainment, fault detection, time per generation, and choices made by the reinforcement learning algorithm. In the folder "test_suites", the suites generated by each technique are included for each project. </p> <p>If you have questions, please contact Gregory Gay at greg@greggay.com.</p> <p>NOTE: A small number of items are currently missing from this data package and will be added shortly. Please make sure you have the latest version of this package.</p>
MAG Collection - Rühlemann et al.: Comparative metagenomics reveals host-specific functional adaptation of intestinal microbiota across hominids
<p>This tar-Archives hold the complete collection of n=7,506 metagenome-assembled genomes presented in the preprint "Comparative metagenomics reveals host-specific functional adaptation of intestinal microbiota across hominids" by Rühlemann <em>et al., <a href="https://www.biorxiv.org/content/10.1101/2023.03.01.530589v1">bioRxiv</a>, </em>2023.</p> <p>Article Summary</p> <p>Characterizing trajectories of the composition and function of hominid gut microbiota across diverse environments and host species can help reveal specific properties of the human microbiota, with possible implications for host evolution and health. Using shotgun metagenomic sequencing, we investigated taxonomic and functional diversity in the gut microbiota of wild-living great apes, including two gorilla subspecies (<em>Gorilla gorilla gorilla, Gorilla beringei beringei</em>), three chimpanzee subspecies (<em>Pan troglodytes verus, P.t. troglodytes, P.t. schweinfurthii</em>), and bonobos (<em>Pan paniscus</em>), together with human samples from Africa and Europe. We identified microbial taxonomic and functional adaptations convergent with host phylogeny at both the community and microbial genomic levels. We could show that repeated horizontal gene transfer and gene loss are processes involved in these adaptations. We hypothesize, that these adaptation processes and changes in the microbiome predispose the host to chronic inflammatory disorders, such as type 2 diabetes via altered histidine metabolism and inflammatory bowel disease indicated by adaptation of microbes to aerobic conditions. Additionally, we find multiple lines of evidence suggesting a widespread loss of microbial diversity and evolutionary conserved clades in the human microbiota, especially in the European population. Lastly, we observed patterns consistent with codivergence of hosts and microbes, particularly for the bacterial family <em>Dialisteraceae</em>, though we find that overall, co-phylogeny patterns are frequently disrupted in humans.</p>
Code Appendix: Do Seed Dispersal Strategies Reflect Adaptation to Environmental Variability? Functional Ecology, 2023
<p>This code appendix contains all of the R code and data for the manuscript:<br> <br> Van Den Elzen, C. L., N. Sigman, and N. C. Emery. 2023. Do Seed Dispersal Strategies Reflect Adaptation to Environmental Variability?. Functional Ecology (Manuscript ID: FE-2022-00850).<br> <br> Abstract: </p> <p>1. Dispersal is one of the primary mechanisms by which organisms adapt to spatial and temporal variation in the environment. Theory predicts that increasing spatiotemporal variation drives selection for offspring dispersal away from their natal habitat and one another. However, due to inherent difficulties in measuring dispersal in plant systems, there are few empirical tests of the extent to which this hypothesis can explain variation in seed dispersal strategies.</p> <p>2. In this study, we characterized and compared the dispersal patterns of three closely related plant species that segregate across gradients in spatiotemporal variation in seasonal wetlands.</p> <p>3. We tracked individual seeds as they dispersed in their natural habitats to measure seed dispersal distance (the distance traveled from the maternal plant) and inter-seed spread (distances between dispersed seeds), and to identify the plant traits causing within-species variation in seed dispersal. We also evaluated the seed traits causing within-species variation in seed flight distance and terminal velocity in a wind tunnel and a drop tube, respectively.</p> <p>4. We found that average seed dispersal distance was lowest in the species that occupies the most spatiotemporally variable habitat, contradicting our predictions; however, inter-seed spread was lowest in the species from the least variable habitat, which aligned with our expectations.</p> <p>5. The maternal plant and seed traits explaining intraspecific variation in seed dispersal varied among species as well as the method used to measure dispersal potential. Two traits had non-intuitive effects on dispersal, including pappus size, which reduced seed flight distance in two of the focal taxa.</p> <p>6. Overall, our results indicate that the differences we detected in seed dispersal among three closely related plant taxa can be only partially explained by current patterns of environmental variability in their respective habitats, and that the traits driving within species variation in seed dispersal can evolve rapidly and change with the environmental context in which they are measured.</p>
Data from: The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function
Open the record for dataset details and reuse information.
Replicated functional evolution in cichlid adaptive radiations
Open the record for dataset details and reuse information.
Scripts and data for: Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning
Open the record for dataset details and reuse information.
Data from: A comparative test for divergent adaptation: inferring speciation drivers from functional trait divergence
<p>Ecological differentiation between lineages is widely considered to be an important driver of speciation. However, support for this hypothesis is largely derived from the detailed study of a select set of model species pairs. Mounting evidence from non-model taxa, meanwhile, suggests that speciation often occurs with minimal differentiation in ecomorphology, calling into question the true contribution of divergent selection to species richness in nature. To better understand divergent adaptation and its role in speciation generally, researchers require a comparative approach that can distinguish its signature from alternative processes such as drift and parallel selection in datasets containing many species pairs. Here we introduce the first statistical models of divergent adaptation in the continuous traits of paired lineages. In these models, ecomorphological characters diverge as two lineages adapt toward alternative phenotypic optima following their departure from a common ancestor. The absolute distance between optima measures the extent of divergent selection and provides a basis for interpretation. We encode the models in the new R-package <i>diverge</i> and extend them to allow the distance between optima to vary across continuous and categorical variables. We test model performance using simulation and demonstrate model application using published datasets of trait divergence in birds and mammals. Our framework provides the first explicit test for the signature of divergent selection in trait divergence datasets, and it will enable empiricists from a wide range of fields to more fully investigate the dynamics of divergent adaptation as well as its prevalence in nature beyond just our best-studied model systems.</p>
Going underwater! Multiple origins and functional morphology of piercing-sucking feeding and tracheal system adaptations in water scavenger beetle larvae (Coleoptera: Hydrophiloidea)
<p>Supplementary videos:</p> <p>Video S1. Typical feeding behavior of chewing larvae.<em> Tropisternus latus</em> Brullé, 1837 first-instar larva. Note that feeding occurs above water surface.</p> <p>Video S2. Alternative chewing feeding strategy of moluscivorous larvae. <em>Hydrophilus (Dibolocelus) palpalis </em>Brullé, 1837 second-instar larva feeding.</p> <p>Video S3. Piercing-sucking feeding behavior of <em>Hemiosus dejeanii </em>(Solier, 1849) third-instar larva. Note that feeding occurs under water surface.</p> <p>Video S4. Piercing-sucking feeding behavior of <em>Oocyclus magnifica </em>Hebauer & Wang, 1998. Note that feeding occurs inside water film.</p>
Data from: Parallel changes in gut microbiome composition and function during colonization, local adaptation and ecological speciation
<p>The processes of local adaptation and ecological speciation are often strongly shaped by biotic interactions such as competition and predation. One of the strongest lines of evidence that biotic interactions drive evolution comes from repeated divergence of lineages in association with repeated changes in the community of interacting species. Yet, relatively little is known about the repeatability of changes in gut microbial communities and their role in adaptation and divergence of host populations in nature. Here we utilize three cases of rapid, parallel adaptation and speciation in freshwater threespine stickleback to test for parallel changes in associated gut microbiomes. We find that features of the gut microbial communities have shifted repeatedly in the same direction in association with parallel divergence and speciation of stickleback hosts. These results suggest that changes to gut microbiomes can occur rapidly and predictably in conjunction with host evolution, and that host-microbe interactions might play an important role in host adaptation and diversification.</p>
Comparing raccoon MHC diversity in native and introduced ranges: evidence for the importance of functional immune diversity for adaptation and survival in novel environments.
<p>The adaptive potential of invasive species is related to the genetic <span class="il">diversity</span> of the invader, which is influenced by genetic drift and natural selection. Typically, the genetic <span class="il">diversity</span> of invaders is studied with neutral genetic markers, however, the expectation of reduced <span class="il">diversity</span> has not been consistently supported by empirical studies. Here, we describe and interpret genetic <span class="il">diversity</span> at both neutral microsatellite loci and the immune related <span class="il">MHC</span>-DRB locus of <span class="il">native</span> and invasive populations of <span class="il">raccoon</span> to better understand of how drift and selection impact patterns of genetic <span class="il">diversity</span> during the invasion process. We found that despite the loss of many <span class="il">MHC</span> alleles in comparison with <span class="il">native</span> populations, functional <span class="il">MHC</span> supertypes are preserved in the invasive region. In the <span class="il">native</span> <span class="il">raccoon</span> population the number of supertypes within individuals was higher than expected under a neutral model. The high level of individual functional divergence may facilitate the adaptation to local conditions in the invasive range. These results suggest that selection is driving divergent allele combinations despite drift causing allelic loss. In the invasive populations, we also detected increased population structure at microsatellites compared to the <span class="il">MHC</span> locus, further suggesting that balancing selection is acting on adaptively important regions of the <span class="il">raccoon</span> genome. Finally, we found that alleles known to exhibit resistance to rabies in the <span class="il">native</span> range, Prlo-DRB*4, Prlo-DRB*16 and Prlo-DRB*102, were the most common alleles in the European populations, suggesting directional selection is acting on this locus. Our research shows empirical support for the importance of functional immune <span class="il">diversity</span> for adaptation and survival in novel environments.</p>
Functions of the Sulfatase-Modifying Factor 1 (HaSumf1) in the development and host glucosinolates adaptation of Helicoverpa armigera
<p>In this study, we detailed the indicators of development of <em>H. armigera</em>, such as growth and development period, number of surviving larvae, body weight, pupa weight, and number, as well as the relative expression levels of <em>HaSumf1</em> gene at different instars, and the third- and fifth-instars after feeding with glucosinolates and /or ds<em>Sumf1</em>.</p>
Data Set for Self-adapting short-range correlation functional for complete active space-based approximations
<p>Data Set to accompany:</p> <p> Self-adapting short-range correlation functional for complete active space-based approximations</p>
Functional consequences of phenotypic variation between locally adapted populations: swimming performance and ventilation in extremophile fish
<p>Natural selection drives the evolution of traits to optimize organismal performance, but optimization of one aspect of performance can often influence other aspects of performance. Here, we asked how phenotypic variation between locally adapted fish populations affects locomotion and ventilation, testing for functional trade-offs and trait-performance correlations. Specifically, we investigated two populations of livebearing fish (<em>Poecilia mexicana</em>) that inhabit distinct habitat types (hydrogen-sulfide-rich springs and adjacent nonsulfidic streams). For each individual, we quantified different metrics of burst swimming during simulated predator attacks, steady swimming, as well as gill ventilation. Coinciding with predictions, we documented significant population differences in all aspects of performance, with fish from sulfidic habitats exhibiting higher steady swimming performance and higher ventilation capacity, but slower burst swimming. There was a significant functional trade-off between steady and burst swimming, but not between different aspects of locomotion and ventilation. While our findings about population differences in locomotion performance largely parallel the results from previous studies, we provide novel insights about how morphological variation might impact ventilation and ultimately oxygen acquisition. Overall, our analyses provided insights into the functional consequences of previously documented phenotypic variation, which will help to disentangle the effects of different sources of selection that may coincide along complex environmental gradients.</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.