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37 results for “agent of selection”
Data from: A meta-analysis of the agents of selection on floral traits
Floral traits are hypothesized to evolve primarily in response to selection by pollinators. However, selection can also be mediated by other environmental factors. To understand the relative importance of pollinator-mediated selection and its variation among trait and pollinator types, we analyzed directional selection gradients on floral traits from experiments that manipulated the environment to identify agents of selection. Pollinator-mediated selection was stronger than selection by other biotic factors (e.g. herbivores), but similar in strength to selection by abiotic factors (e.g. soil water), providing partial support for the hypothesis that floral traits evolve primarily in response to pollinators. Pollinator-mediated selection was stronger on pollination efficiency traits than on other trait types, as expected if efficiency traits affect fitness via interactions with pollinators, but other trait types also affect fitness via other environmental factors. In addition to varying among trait types, pollinator-mediated selection varied among pollinator taxa: selection was stronger when bees, long-tongued flies, or birds were the primary visitors than when the primary visitors were Lepidoptera or multiple animal taxa. Finally, reducing pollinator access to flowers had a relatively small effect on selection on floral traits, suggesting that anthropogenic declines in pollinator populations would initially have modest effects on floral evolution.
Agent‐based modeling of the effects of forest dynamics, selective logging, and fragment size on epiphyte communities
<p>Forest canopies play a crucial role in structuring communities of vascular epiphytes by providing substrate for colonization, by locally varying microclimate, and by causing epiphyte mortality due to branch or tree fall. However, as field studies in the three-dimensional habitat of epiphytes are generally challenging, our understanding of how forest structure and dynamics influence the structure and dynamics of epiphyte communities is scarce. Mechanistic models can improve our understanding of epiphyte community dynamics. We present such a model that couples dispersal, growth, and mortality of individual epiphytes with substrate dynamics, obtained from a three-dimensional functional-structural forest model, allowing the study of forest-epiphyte interactions. After validating the epiphyte model with independent field data, we performed several theoretical simulation experiments to assess how (1) differences in natural forest dynamics, (2) selective logging, and (3) forest fragmentation could influence the long-term dynamics of epiphyte communities. The proportion of arboreal substrate occupied by epiphytes (i.e. saturation level) was tightly linked with forest dynamics and increased with decreasing forest turnover rates. While species richness was, in general, negatively correlated with forest turnover rates, low species numbers in forests with very low turnover rates were due to competitive exclusion when epiphyte communities became saturated. Logging had a negative impact on epiphyte communities, potentially leading to a near-complete extirpation of epiphytes when the simulated target diameters fell below a threshold. Fragment size had no effect on epiphyte abundance and saturation level but correlated positively with species numbers. Synthesis: The presented model is a first step towards studying the dynamic forest-epiphyte interactions in an agent-based modelling framework. Our study suggests forest dynamics as key factor in controlling epiphyte communities. Thus, both natural and human-induced changes in forest dynamics, e.g. increased mortality rates or the loss of large trees, pose challenges for epiphyte conservation.</p>
TT-4 As a Single Agent in Subjects with Advanced Selected Solid Tumors
ClinicalTrials.gov study NCT04976660. IPD Sharing: UNDECIDED. Countries: 0. Publications: 11.
Data from: A meta-analysis of the agents of selection on floral traits
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Data from: The predictability and magnitude of life-history divergence to ecological agents of selection: a meta-analysis in livebearing fishes
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Agent‐based modeling of the effects of forest dynamics, selective logging, and fragment size on epiphyte communities
Open the record for dataset details and reuse information.
Lineage tracing of acute myeloid leukemia reveals the impact of hypomethylating agents on chemoresistance selection
GEO Series GSE134506. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Study of EGF816 in Combination With Selected Targeted Agents in EGFR-mutant NSCLC
ClinicalTrials.gov study NCT03333343. IPD Sharing: NO. Countries: 6. Publications: 0.
A Study of T-DXd as Monotherapy or in Combination With Anti-cancer Agents in Patients With Selected HER2-expressing Tumors
ClinicalTrials.gov study NCT06271837. IPD Sharing: YES. Countries: 1. Publications: 0.
DY001: Safety and Effectiveness of DYME as an Agent for Selective Staining of the Anterior Capsule During Cataract Surgery
ClinicalTrials.gov study NCT00596583. IPD Sharing: Not stated. Countries: 2. Publications: 0.
Study of VAY736 as Single Agent and in Combination With Select Antineoplastic Agents in Patients With Non-Hodgkin Lymphoma
ClinicalTrials.gov study NCT04903197. IPD Sharing: NO. Countries: 7. Publications: 0.
Optimal Standard Treatment Selection for Solid Tumor Patients by Biologically-informed Multi-agent System
ClinicalTrials.gov study NCT06824792. IPD Sharing: NO. Countries: 1. Publications: 0.
DY002: Safety and Effectiveness of DYME as an Agent for Selective Staining of the Anterior Capsule During Cataract Surgery
ClinicalTrials.gov study NCT00596492. IPD Sharing: Not stated. Countries: 2. Publications: 0.
First-in-Human Study of Mutant-selective PI3Kα Inhibitor, RLY-2608, as a Single Agent in Patients With Advanced Solid Tumors and in Combination With Endocrine Therapy +/- a CDK4/6 or CDK4 Inhibitor in
ClinicalTrials.gov study NCT05216432. IPD Sharing: NO. Countries: 5. Publications: 0.
Selection and Efficacy-Influencing Factors of First-Line Biologic Agents in Moderate-to-Severe Ulcerative Colitis
ClinicalTrials.gov study NCT06962020. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Testing potential selective agents acting on leaf shape in Ipomoea hederacea: predictions based on an adaptive leaf shape cline
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Challenge agent strain selection and characterization for a first-in-human Salmonella Typhimurium controlled human infection model
GEO Series GSE308907. Salmonella enterica subsp. enterica serovar Typhimurium. 12 samples. Type: Expression profiling by high throughput sequencing.
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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.