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376 results for “morphological divergence”
Data from: Morphology, fossils, divergence timing, and the phylogenetic relationships of Gavialis
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Data from: Divergent selection on flowering phenology but not on floral morphology between two closely related orchids
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Data from: Evidence for morphological and adaptive genetic divergence between lake and stream habitats in European minnows (Phoxinus phoxinus, Cyprinidae)
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Data from: Morphological differentiation correlates with ecological but not genetic divergence in a Gehyra gecko.
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Data from: Elevation is a stronger predictor of morphological trait divergence than competition in a radiation of tropical lizards
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Data from: Cellular basis of morphological variation and temperature-related plasticity in Drosophila melanogaster strains with divergent wing shapes
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Data on assessing the effects of genetic divergence and morphology on Anolis lizard mating
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Data from: Experimental evolution reveals divergence in female genital teeth morphology in response to sexual conflict intensity in a moth
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A conserved transcriptional regulator governs fungal morphology in widely diverged species [ChIP-chip, Transcriptional regulation by Mit1 and orthologs]
GEO Series GSE32557. Saccharomyces cerevisiae. 10 samples. Type: Genome binding/occupancy profiling by genome tiling array.
A conserved transcriptional regulator governs fungal morphology in widely diverged species
GEO Series GSE32558. Saccharomyces cerevisiae. 18 samples. Type: Expression profiling by array; Genome binding/occupancy profiling by genome tiling array.
Data from: Delimiting species in recent radiations with low levels of morphological divergence: a case study in Australian Gehyra geckos
Recent conceptual and methodological advances have increased the ability to apply multifaceted approaches to species delimitation, which is particularly useful in delimiting recently diversified species where single lines of evidence lead to incorrect species delimitation or assignment of individuals to species (e.g. cryptic, morphological species and paraphyletic, hybridizing species). Species of the Australian Gehyra gecko radiation have historically proven difficult to delimit due the group's uniform, almost continent-wide geographic distribution and conservative morphology, contrasting high chromosomal and genetic diversity. Using an integrated approach to species delimitation taking advantage of morphological, geographic distributional and multi-locus genetic data, we investigate the diversity within three Gehyra species from the Australian arid zone. Our results show that these species represent eight distinct phylogenetic lineages, which display different patterns of morphological distinction and reproductive isolation. Using a recently developed Bayesian species delimitation method, we also find different levels of support for putative species dependent on priors for population size and timing of diversification assumed. Our results show that the current taxonomy does not adequately account for the diversity of the group. Discrepancies between lines of evidence indicate that diversification of the group is recent and ongoing, thus posing challenges for both species concepts and delimitation.
Data from: Investigating the extent of parallelism in morphological and genomic divergence among lake trout ecotypes in Lake Superior
Understanding the emergence of species through the process of ecological speciation is a central question in evolutionary biology which also has implications for conservation and management. Lake Trout (Salvelinus namaycush) is renowned for the occurrence of different ecotypes linked to resource and habitat use throughout North America. We aimed to unravel the fine genetic structure of the four Lake Trout ecotypes in Lake Superior. A total of 486 individuals from four sites were genotyped at 6822 filtered SNPs using RADseq technology. Our results revealed different extent of morphological and genetic differentiation within the different sites. Overall, genetic differentiation was weak but significant and was on average three times higher between sites (Mean FST = 0.016) than between ecotypes within sites (Mean FST = 0.005) indicating higher level of gene flow or a more recent shared ancestor between ecotypes within each site than between populations of the same ecotype. Evidence of divergent selection was also found between ecotypes and/or in association with morphological variation. Outlier loci found in genes related to lipid metabolism and visual acuity were of particular interest in this context of ecotypic divergence. However, we did not find clear indication of parallelism at the genomic level, despite the presence of phenotypic parallelism among some ecotypes from different sampling sites. Overall, the occurrence of different levels of both genomic and phenotypic differentiation between ecotypes within each site with several differentiated loci linked to relevant biological functions support the presence of a continuum of divergence in Lake Trout.
Figure 3 from: Carvalho FL, Magalhães C, Mantelatto FL (2014) Molecular and morphological differentiation between two Miocene-divergent lineages of Amazonian shrimps, with the description of a new species (Decapoda, Palaemonidae, Palaemon). In: Wehrtmann IS, Bauer RT (Eds) Proceedings of the Summer Meeting of the Crustacean Society and the Latin American Association of Carcinology, Costa Rica, July 2013. ZooKeys 457: 79-108. https://doi.org/10.3897/zookeys.457.6771
Figure 3 - Palaemon yuna sp. n. Holotype, male, CCDB 4865, habitus, lateral view.
Data from: Delimiting species in recent radiations with low levels of morphological divergence: a case study in Australian Gehyra geckos
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Data from: Investigating the extent of parallelism in morphological and genomic divergence among lake trout ecotypes in Lake Superior
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FIGURE 24 in Disentangling vines: a study of morphological crypsis and genetic divergence in vine snakes (Squamata: Colubridae: Ahaetulla) with the description of five new species from Peninsular India
FIGURE 24. Images of live uncollected individuals of Ahaetulla perroteti from the Nilgiris showing sexual dimorphism, (a) Head lateral of male, (b) Head lateral of female, (c) Head dorsal of female, (d) Threat display, (e) Whole animal.
Figure 20 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 20. Scanning electron microscopy images of mesosoma habitus with amplified views of metapleuron/propodeum. Yellow arrows indicate propodeal spiracles, black arrows indicate the metapleural processes. A, C, Elampus gay (Spinola); B, D, Neochrysis inseriata (Mocsáry).
Figure 15 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 15. Fore- and hindwings. Rectangles indicate areas in higher magnification on right. A, Cleptidea xanthomelas (Mocsáry), female; B, Adelphe sp., male. Scale bars: 1 mm (forewing) and 0.5 mm (hindwing). Arrowheads indicate morphological conditions coded as character-states.
Figure 16 in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 16. Frontal view of heads and amplified view of mandibles. A, D, Cladobethylus insularis Kimsey & Dewhurst, female; B, E, C. insularis, male; C, F, Duckeia cyanea Costa Lima, female; G, H, Adelphe brasiliensis Kimsey, male. Scale bars: (A, B, C, G): 0.5 mm; (D, E, F, H): 0.2 mm. Arrowheads indicate morphological conditions coded as character-states.
Figure 3. Chronogram for Chrysididae derived from a in Morphology and Bayesian tip-dating recover deep Cretaceous-age divergences among major chrysidid lineages (Hymenoptera: Chrysididae)
Figure 3. Chronogram for Chrysididae derived from a combined Bayesian analysis of a partitioned dataset of 300 morphological characters employing a relaxed morphological clock model with tip-dating. The maximum credibility tree was calculated considering only clades higher than 50% of Bayesian posterior probability resulting from the analysis of 173 species representing Chrysididae and outgroups. Branch lengths are drawn proportional to time from the present (timescale on the bottom), highest posterior density (HPD) 95% intervals for the ages of select nodes are indicated by horizontal blue bars, and node support values correspond to Bayesian posterior probabilities. Lowercase letters indicate clades of major interest (discussed in the text) with their respective estimated ages. Fossil taxa are indicated by daggers. Phylogenetic relationships among Chrysidinae species are shown in Figures 4 and 5.
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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.