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1,140 results for “Colony”
Multiple evolutionary transitions of reproductive strategies in a phylum of aquatic colonial invertebrates
<p><strong>PHYLOGENIES</strong></p> <p><strong>All_genes_alignment.nex</strong></p> <p>The concatenated mixed alignment consisting of, 13 mitochondrial protein-coding genes as amino acids, mitochondrial ribosomal RNA genes 12S+16S, and nuclear 18S+28S rRNA genes. Gene boundaries and excludes sites are indicated.</p> <p><strong>Fig_2.nex</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in MrBayes5D v. 3.2.6 under the GTR+G model of nucleotide evolution (nucleotides) and the MTZOA+G model (amino acids). The analysis was run for 2.4 million generations; 1.5 million generations were discarded as burn-in.</p> <p><strong>Fig_S3</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes (PCGs) as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in p4 under the GTR+G model of nucleotide evolution (nucleotides) and the MTZOA+G+F model (amino acids). The +F model component accommodates empirical composition in the amino acid model. The analysis used three separate runs for 300,000 generations; 200,000 generations were discarded as burn-in.</p> <p><strong>Fig_S4</strong></p> <p>Topology of the maximum likelihood phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTR+G (nucleotides) and the MTZOA+G+F models (amino acids).</p> <p><strong>Fig_S5</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the 12S+16S rRNA gene partition constructed using MrBayes v. 3.2.6 under the GTR + G model. The analysis was run for 20 million generations; 10 million generations were discarded as burn-in.</p> <p><strong>Fig_S6</strong></p> <p>Topology of the maximum likelihood phylogenetic analysis of the 12S+16S rRNA gene partition constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTRCAT model.</p> <p><strong>Fig_S7</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the 18S+28S rRNA gene partition constructed using MrBayes v. 3.2.6 under the GTR + G model. The analysis was run for 20 million generations; 10 million generations were discarded as burn-in.</p> <p><strong>Fig_S8</strong></p> <p>Topology of the maximum likelihood phylogenetic analysis of the 18S+28S rRNA gene partition constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTRCAT model.</p> <p><strong>Fig_S9</strong></p> <p>Topology of the Bayesian phylogenetic analysis of 13 mitochondrial protein-coding genes as amino acids constructed using MrBayes5D v. 3.2.6 under the MTZOA+G model. The analysis was run for 3.7 million generations; 2.5 million generations were discarded as burn-in.</p> <p><strong>Fig_S10</strong></p> <p>Topology of the maximum likelihood phylogenetic analysis of 13 mitochondrial protein-coding genes as amino acids constructed using RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the PROTGAMMAMTZOA model.</p> <p><strong>Fig_S11</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes (PCGs) as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. The analysis was performed in p4 under the NDCH-C2 model. The analysis used four separate runs for 300,000 generations; 200,000 generations were discarded as burn-in. The NDCH model accommodates compositional tree-heterogeneity and was used because there was a large amount of compositional heterogeneity over the sequences, especially in the PCGs and 12S+16S rRNA data partitions. This is an NDCH model with two composition vectors on each of the three data partitions.</p> <p><strong>Fig_S12</strong></p> <p>Topology of the Bayesian phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. This analysis excluded all terminals for which less than half of mitogenome genes were available, or which only had one of the two nuclear rRNA genes. The analysis was performed in MrBayes5D v. 3.2.6 under the GTR+G model of nucleotide evolution (nucleotides) and the MTZOA+G model (amino acids). The analysis was run for 350,000 generations; 125,000 generations were discarded as burn-in.</p> <p><strong>Fig_S13</strong></p> <p>Topology of the maximum likelihood phylogenetic analysis of the mixed concatenated alignment consisting of three partitions: (i) 13 mitochondrial protein-coding genes as amino acids, (ii) mitochondrial ribosomal RNA genes 12S+16S, (iii) nuclear 18S+28S rRNA genes. This analysis excluded all terminals for which less than half of mitogenome genes were available, or which only had one of the two nuclear rRNA genes. The analysis was performed in RAxML HPC-PTHREADS-SSE3 v. 8.2.12 under the GTR+G (nucleotides) and the MTZOA+G+F models (amino acids).</p> <p><strong>ANCESTRAL CHARACTER ESTIMATION:</strong></p> <p><strong>ACE.R</strong></p> <p>R script of the ancestral character estimation carried out in phytools.</p> <p><strong>Reproductive_strategy_numbers.csv</strong></p> <p>Data input file for ACE analysis (reproductive strategies coded as numbers)</p> <p><strong>Reproductive_strategies.xlsx</strong></p> <p>List of reproductive strategies per taxon with the corresponding numerical codes used in the file 'Reproductive_stategies_numbers.csv'.</p> <p><strong>Tree.tre</strong></p> <p>Input tree for ACE analysis.</p>
Multi-colony tracking of two pelagic seabirds with contrasting flight capability illustrates how windscapes shape migratory movements at an ocean-basin scale
<p>Migration is a common trait among many animals allowing the exploitation of spatiotemporally variable resources. It often implies high energetic costs to cover large distances, for example between breeding and wintering grounds. For flying or swimming animals, the adequate use of winds and currents can help reduce the associated energetic costs. Migratory seabirds are good models because they dwell in habitats characterized by strong winds while undertaking very long migrations. We tested the hypothesis that seabirds migrate through areas with favourable winds. To that end, we used a multi-colony geolocator tracking dataset of two North Atlantic seabirds with contrasting flight capabilities, the black-legged kittiwake (<em>Rissa</em> <em>tridactyla</em>) and the Atlantic puffin (<em>Fratercula</em> <em>arctica</em>), and wind data from the ERA5 climate reanalysis model. Both species had on average positive wind support during migration. Their main migratory routes were similar and followed seasonally prevailing winds. The general migratory movement had a loop-shape at the scale of the North Atlantic, with an autumn route (southward) along the east coast of Greenland, and a spring route (northward) closer to the British Isles. While migrating, both species had higher wind support in spring than in autumn. Kittiwakes migrated farther and benefited from higher wind support than puffins on average. The variation in wind conditions encountered while migrating was linked to the geographical location of the colonies. Generally, northernmost colonies had better wind support in autumn while the southernmost colonies had a better wind support in spring, with some exceptions. Our study helps in understanding how the physical environment shapes animal migration, which is crucial to further predict how migrants will be impacted by ongoing environmental changes.</p>
AMD3100 (Plerixafor) Added to a Mobilizing Regimen of Granulocyte-colony Stimulating Factor (G-CSF) to Increase the Number of Peripheral Blood Stem Cells (PBSCs) in Patients With Hodgkin's Disease
ClinicalTrials.gov study NCT00396201. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Triphala Tooth Wipes in Reduction of Streptococcus Mutans Colonies
ClinicalTrials.gov study NCT06575335. IPD Sharing: NO. Countries: 1. Publications: 43.
Effect of Colony Stimulating Factor on Implantation and Pregnancy Rates Following IVF (in Vitro Fertilization)
ClinicalTrials.gov study NCT01202656. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Vaccination With Autologous Breast Cancer Cells Engineered to Secrete Granulocyte-Macrophage Colony-Stimulating Factor (GM-CSF) in Metastatic Breast Cancer Patients
ClinicalTrials.gov study NCT00317603. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Vaginal Prep Solutions to Reduce Bacteria Colony Counts in Patients Having a Vaginal Surgery
ClinicalTrials.gov study NCT03854370. IPD Sharing: YES. Countries: 1. Publications: 14.
A Phase III, Safety, Tolerability and Efficacy of Combination Treatment of BL-8040 and Granulocyte Colony Stimulating Factor (G-CSF) as Compared to Placebo and G-CSF for the Mobilization of Hematopoie
ClinicalTrials.gov study NCT03246529. IPD Sharing: NO. Countries: 5. Publications: 2.
Efficacy and Safety Study of Talimogene Laherparepvec Compared to Granulocyte Macrophage Colony Stimulating Factor (GM-CSF) in Melanoma
ClinicalTrials.gov study NCT00769704. IPD Sharing: Not stated. Countries: 4. Publications: 3.
Phase II Study of Fludarabine and Mitoxantrone, Followed by GM-CSF(Granulocyte-macrophage Colony-stimulating Factor) and Rituximab
ClinicalTrials.gov study NCT00208975. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Combination Chemotherapy With or Without Colony-stimulating Factors in Treating Women With Breast Cancer
ClinicalTrials.gov study NCT00014222. IPD Sharing: NO. Countries: 2. Publications: 0.
Efficacy Study of Granulocyte-macrophage Colony Stimulating Factor (GM-CSF) for Use in Human IVF
ClinicalTrials.gov study NCT00565747. IPD Sharing: Not stated. Countries: 2. Publications: 2.
Discovery and genetic characterization of single cohort adult colonies with male aggregations, and preliminary evidence for lekking in a Malagasy kite spider (Isoxya, Gasteracanthinae)
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Using GBIF to Demonstrate Colonial Legacies on Biodiversity Data
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Data from: Inducible versus constitutive social immunity: examining effects of colony infection on glucose oxidase and defensin-1 production in honeybees
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Spatiotemporal variation of small hive beetle infestation levels in honeybee host colonies
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Wolbachia-infected pharaoh ant colonies have higher egg production, metabolic rate, and worker survival
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Variation in population size, nest distribution, colony extent, and timing of movements at the largest known parrot colony
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Data from: Stress-induced loss of social resilience in honeybee colonies and its implications on fitness
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Eusocial evolution without a nest: kin structure of social aphids forming open colonies on bamboo
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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