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119 results for “lineage diversification”
Data from: Stochastic character mapping of state-dependent diversification reveals the tempo of evolutionary decline in self-compatible Onagraceae lineages
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Data from: FiSSE: A simple non-parametric test for the effects of a binary character on lineage diversification rates
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Data from: How important is it to consider lineage diversification heterogeneity in macroevolutionary studies? lessons from the lizard family Liolaemidae
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Data from: Paleozoic diversification of terrestrial chitin-degrading bacterial lineages
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Data from: Early diversification trend and Asian origin for extant bat lineages
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Data from: A Bayesian approach for detecting the impact of mass-extinction events on molecular phylogenies when rates of lineage diversification may vary
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Molecular Signatures and Lineage Diversification of Neurogenic and Gliogenic Radial Glia in the Gyrencephalic Ferret Cortex
GEO Series GSE304846. Mustela putorius furo. 2 samples. Type: Expression profiling by high throughput sequencing.
Domestic dog lineages reveal genetic drivers of behavioral diversification
GEO Series GSE213053. Canis lupus dingo; Canis lupus; Canis lupus familiaris. 956 samples. Type: SNP genotyping by SNP array; Genome variation profiling by SNP array.
Spatiotemporal single-cell regulatory atlas reveals neural crest lineage diversification and cellular function during tooth morphogenesis
GEO Series GSE189381. Mus musculus. 5 samples. Type: Expression profiling by high throughput sequencing.
Integrated ERK-PKA-YAP/TAZ-SHH Signaling Orchestrates Cortical Radial Glia Identity and Lineage Diversification
GEO Series GSE293205. Mus musculus. 11 samples. Type: Expression profiling by high throughput sequencing.
Data from: Clade-age-dependent diversification under high species turnover shapes species richness disparities among tropical rainforest lineages of Bulbophyllum (Orchidaceae)
Background: Tropical rainforests (TRFs) harbour almost half of the world's vascular plant species diversity while covering only about 6–7% of land. However, why species richness varies amongst the Earth's major TRF regions remains poorly understood. Here we investigate the evolutionary processes shaping continental species richness disparities of the pantropical, epiphytic and mostly TRF-dwelling orchid genus Bulbophyllum (c. 1,948 spp. in total; Asia-Pacific region: c. 1,564 spp.; Madagascar: 210; Africa: 80; Neotropics: 94) using diversification analyses based on a time-calibrated molecular phylogeny, coupled with ecological niche modelling (ENM) of geographic distributions under present and past (Last Glacial Maximum) conditions. Results: Our results suggest an early-to-late Miocene scenario of 'out-of-Asia-Pacific' origin and progressive, dispersal-mediated diversification in Madagascar, Africa and the Neotropics, respectively. Species richness disparities amongst these four TRF lineages are best explained by a time-for-speciation effect rather than differences in net diversification or diversity-dependent diversification due to present or past spatial-bioclimatic limits. All four lineages of experienced dramatic range expansions during the LGM, which conflicts with the common notion that TRFs mostly fragmented/contracted during glacial periods. Conclusions: Most species of at least the Madagascan, African and Neotropical lineages originated during the Quaternary. Their diversification under high species turnover (i.e. high rates of speciation and extinction) might relate to climate-induced range fluctuations during this time period combined with various intrinsic features commonly invoked to foster rapid population turnover in tropical orchids (e.g., epiphytism, specialization on pollinators and mycorrhizal fungi, dispersal by wind). Further (e.g., phylogenomic and ecological) research within each Bulbophyllum lineage but also other pantropical TRF taxa is required to provide a better understanding of how evolutionary processes as well as past and current environmental conditions drive tropical biodiversity and account for regional differences in species richness patterns on a global scale.
Data from: Clade-age-dependent diversification under high species turnover shapes species richness disparities among tropical rainforest lineages of Bulbophyllum (Orchidaceae)
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Data from: Recent lineage diversification in a venomous snake through dispersal across the Amazon River
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Fig. 2 in Parallel and convergent diversification in two northern hemispheric species-rich Carex lineages (Cyperaceae)
Fig. 2 Boxplots of variation in A A six morphological characters. The data shown refer to the mid-range 100 12 values; the minimum values show)) a similar pattern. The left three cm mm 10 ( 80 boxes refer to sect . Phacocystis , (height 8 whereas the three on the right 60 width refer to the Vesicariae alliance . N 6 and M are the Northern and Plant 40 Leaf Mixed clades , respectively . S 4 refers to the Southern grade that 20 was not considered in statistical 2 calculations. Pairs with the same letters above boxes are NMSNMS NMSNMS significantly different (Tukey Phacocystis Vesicariae Phacocystis Vesicariae HSD test, p<0.05)
Fig. 1 in Parallel and convergent diversification in two northern hemispheric species-rich Carex lineages (Cyperaceae)
Fig. 1 Phylogenetic trees of the Carex Vesicariae alliance (left) and sect. Phacocystis (right) with indications of the clades and grades that were used in the text and for comparisons. The tree for sect. Phacocystis has been slightly modified from Dragon and Barrington (2009) by removing duplicate species that do not affect tree topology and by the removal of several basal taxa that do not change tree interpretation. Dragon and
Figure 4 in The evolution of an ancient tapeworm lineage in its catfish hosts: vicariance, dispersal and diversification in Gangesiinae (Cestoda: Proteocephalidae)
Figure 4. Line drawings of Gangesia mukutmanipurensis sp. nov. from Ompok bimaculatus (specimen accession number in parentheses). A, gravid proglottid, ventral view (ZSI/W11083/1/2). B, gravid proglottid, dorsal view (ZSI/W11083/1/2). C, D, cross-sections at level of testicular field and ovary, respectively (ZSI/W11088/1 and ZSI/W11089/1). Abbreviations: doc, dorsal osmoregulatory canal; ilm, internal longitudinal muscles; lud, lateral uterine diverticula; Mg, Mehlis' gland; ov, ovary; sl, subtegumental layer; te, testes; ut, uterus; vf, vitelline follicles; voc, ventral osmoregulatory canal.
The major diversification of Vγ1.1+ and Vγ2+ thymocytes in mice occurs after commitment to the γδ T-cell lineage
GEO Series GSE75920. Mus musculus. 22 samples. Type: Expression profiling by array.
Specification and lineage diversification of theca cells in human ovarian follicles is governed by a TCF21/NR5A1 axis
GEO Series GSE192722. Homo sapiens. 10 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Clonal lineage tracing and parallel multiomics profiling reveal transcriptional diversification induced by ARID1A deficiency
GEO Series GSE296529. Homo sapiens. 1 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.