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46 results for “flower structure”
Data from: Flowering overlap and floral trait similarity help explain the structure of pollination network
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Land-use legacies affect flower visitation network structure after forest restoration
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Data from: Early- and late-flowering guilds respond differently to landscape spatial structure
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Data from: Fine-scale genetic structure in the orchid Gymnadenia conopsea is not associated with local density of flowering plants
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Structural anther mimics improve reproductive success through dishonest signalling that enhances both attraction and the morphological fit of pollinators with flowers
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Data from: The influence of population structure on gene expression and flowering time variation in the ubiquitous weed Capsella bursa-pastoris (Brassicaceae)
Population structure is a potential problem when testing for adaptive phenotypic differences among populations. The observed phenotypic differences among populations can simply be due to genetic drift, and if the genetic distance between them is not considered, the differentiation may be falsely interpreted as adaptive. Conversely, adaptive and demographic processes might have been tightly associated and correcting for the population structure may lead to false negatives. Here, we evaluated this problem in the cosmopolitan weed Capsella bursa-pastoris. We used RNA-Seq to analyse gene expression differences among 24 accessions, which belonged to a much larger group that had been previously characterized for flowering time and circadian rhythm and were genotyped using genotyping-by-sequencing (GBS) technique. We found that clustering of accessions for gene expression retrieved the same three clusters that were obtained with GBS data previously, namely Europe, the Middle East and Asia. Moreover, the three groups were also differentiated for both flowering time and circadian rhythm variation. Correction for population genetic structure when analysing differential gene expression analysis removed all differences among the three groups. This may suggest that most differences are neutral and simply reflect population history. However, geographical variation in flowering time and circadian rhythm indicated that the distribution of adaptive traits might be confounded by population structure. To bypass this confounding effect, we compared gene expression differentiation between flowering ecotypes within the genetic groups. Among the differentially expressed genes, FLOWERING LOCUS C was the strongest candidate for local adaptation in regulation of flowering time.
FIGURES 20–26. Adult structures. 20 in A conspectus of New Zealand flower flies (Diptera: Syrphidae) with the description of a new genus and species
FIGURES 20–26. Adult structures. 20. Eristalinus aeneus (Scopoli), posterior lateral thorax and wing base, dorsal view; 21–22. Metasternum and metalegs, ventral view. 21. Melanostoma mellinum (Linnaeus); 22. Platycheirus sp. 23–26. Heads, lateral view. 23. Eristalis tenax (Linnaeus); 24. Paratropidida bilineata (Walker); 25. Eristalinus aeneus (Scopoli); 26. Helophilus cingulatus (Fabricius)
FIGURE 2. Aspidistra viridiflora, flower structure. A Flower, oblique view. B. Flower, top view. C. Flower, side view. D. Flower, longitudinal section. E. Flower, side view. F. Flower, longitudinal section. G in Aspidistra viridiflora (Asparagaceae, Nolinoideae), a new species from Vietnam
FIGURE 2. Aspidistra viridiflora, flower structure. A Flower, oblique view. B. Flower, top view. C. Flower, side view. D. Flower, longitudinal section. E. Flower, side view. F. Flower, longitudinal section. G. Flower, longitudinal section, oblique-top view. All photos made from holotype by M.Romanov.
Figure 4 in Structure and composition of the insect community associated with flower buds and inflorescences of Byrsonima verbascifolia (Malpighiaceae)
Figure 4. Similarity of the abundance of floral visitors collected in the two flowering stages of B. verbascifolia. BUD = flower buds; IFL: inflorescences. (From ten plants sampled during 2 hours: 1 h in the morning and 1 h in the afternoon).
Figure 3 in Structure and composition of the insect community associated with flower buds and inflorescences of Byrsonima verbascifolia (Malpighiaceae)
Figure 3. Abundance, richness and diversity of flower visitors and ants collected in B. verbascifolia. BUD = flower buds; IFL: inflorescences. Error bars represent SE. (From ten plants sampled during 2 hours: 1 h in the morning and 1 h in the afternoon).
Figure 2 in Structure and composition of the insect community associated with flower buds and inflorescences of Byrsonima verbascifolia (Malpighiaceae)
Figure 2. (a) Venn diagram for specimens of flower visitors collected in B. verbascifolia. (b) Venn diagram for ant specimens collected in B. verbascifolia BUD = flower buds; IFL: inflorescences. (From ten plants sampled during 2 hours: 1 h in the morning and 1 h in the afternoon).
Figure 1 in Structure and composition of the insect community associated with flower buds and inflorescences of Byrsonima verbascifolia (Malpighiaceae)
Figure 1. Phenology of B. verbascifolia during 12 months. The number of leaves, flower buds, inflorescences and infructescences.
Figure 5 in Structure and composition of the insect community associated with flower buds and inflorescences of Byrsonima verbascifolia (Malpighiaceae)
Figure 5. Similarity of the abundance of ants collected in the two flowering stages of B. verbascifolia. BUD = flower buds; IFL: inflorescences. (From ten plants sampled during 2 hours: 1 h in the morning and 1 h in the afternoon).
FIGURE 2. Cyrtandromoea grandiflora, floral structure. A. Flower bud, lateral view. B in Cyrtandromoea grandiflora, a new generic record for Vietnam, and a key to Vietnamese Phrymaceae
FIGURE 2. Cyrtandromoea grandiflora, floral structure. A. Flower bud, lateral view. B. Flower, oblique-adaxial view. C. Transversally opened flower. D. Adaxial (upper) half of corolla, adaxial stamens and gynoecium. E. Gynoecium, adaxial view. F. Pair of stamens. G. Young fruit in artificially opened calyx. H. Young fruit and calyx, longitudinal section. I. Flattened fruiting calyx, abaxial view. J. Young fruit, cross section. Bui 217 (A, E) and Bach et al. VK 7170 (B‒D, F‒J). Photos by H.Q. Bui, correction and design by M. Nuraliev.
Data from: Temporal population genetic structure in the pollen pool for flowering time: a field experiment with Brassica rapa (Brassicaceae)
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Data from: Moth-pollination through the looking glass: Structure of a flower-settling moth network reveals functional groups
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Data from: The influence of population structure on gene expression and flowering time variation in the ubiquitous weed Capsella bursa-pastoris (Brassicaceae)
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Data from: Low genetic diversity but strong population structure reflects multiple introductions of western flower thrips (Thysanoptera: Thripidae) into China followed by human-mediated spread
Historical invasion scenarios based on observational records are usually incomplete and biased, but these can be supplemented by population genetic data. The western flower thrips (WFT), Frankliniella occidentalis, invaded China in the last 13 years and has rapidly become one of the most serious pests in the country. To assess whether this invasion involved a single event or multiple events, we examined patterns of genetic diversity and population structure of WFT across 12 Chinese populations and a native US population based on mitochondrial DNA and/or 18 microsatellite loci. The average allelic richness and haplotype diversity in Chinese populations were significantly lower than in a population from its native range. The distribution of mitochondrial haplotypes suggested multiple independent invasions of WFT into China, including two invasions into the Beijing region. Based on microsatellite data, two distinct clusters were identified, with both of them splitting further into two clusters; in the Beijing region, the microsatellite data also provided evidence for two introductions. Both the absence of isolation by distance and the fact that distant populations were similar genetically suggest patterns of WFT movement linked to human activities. Our study therefore suggests multiple introductions of WFT into China and human-assisted spread.
Data from: Low genetic diversity but strong population structure reflects multiple introductions of western flower thrips (Thysanoptera: Thripidae) into China followed by human-mediated spread
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Data from: Herbivore-induced changes in flower scent and morphology affect the structure of flower–visitor networks but not plant reproduction
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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.