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721 results for “ABI”
Picea abies (L.) H.Karst. (BR0000015263063V)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea abies (L.) H.Karst. (BR0000025018189)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea abies (L.) H.Karst. (BR0000015270054V)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea abies (L.) H.Karst. (BR0000025018233)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea abies (L.) H.Karst. (BR0000012558704)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Figure 3 in Structural changes in needle epicuticular waxes of Balkan Abies species in relation to natural weathering
Figure 3. SEM micrographs of A. cephalonica epicuticular waxes. A-F. Adaxial surface of needles with noticeable granules; G-I. Abaxial surface of needles with two stomatal bends; J-L. Abaxial stomatal rows; M-O. Stomatal pores occluded either by wax tubules or by wax crusts; P-R. Agglomeration, thickening and fusion of tubules with needle aging. Bars: A-I = 500 μm; J-L = 50 μm; D-O = 10 μm; P-R = 1 μm.
Figure 1 in Structural changes in needle epicuticular waxes of Balkan Abies species in relation to natural weathering
Figure 1. SEM micrographs of A. alba epicuticular waxes. A-F. Adaxial surface of needles with noticeable granules; G-I. Abaxial surface of needles with two stomatal bends; J-L. Abaxial stomatal rows; M-O. Stomatal pores occluded either by wax tubules or by wax crusts; P-R. Agglomeration, thickening and fusion of tubules with needle aging. Bars: A-I = 500 μm; J-L = 50 μm; D-O = 10 μm; P-R = 1 μm.
Text-fig. 2 Photos of palynomorphs. AP: 1.-2. Picea (B4-2, depth 0.35 m), 3.-4. Abies (B9, depth 0.10 m, B11-3, depth 0.01 m), 5.-8. Pinus (B8, depth 0.15 m, B9, depth 0.10 m), 9.-11. Alnus (B8, depth 0.15 m, B11, depth 0.01 m), NAP: 16.-17. Asteraceae Liguliflorae (B4-2, depth 0.35 m), 18.-20. Cyperaceae (B9, depth 0.10 m, B11-3, depth 0.01 m), 21.-22. Artemisia (B8, depth 0.15 m), Pteridophyta: 23.-26. Polypodiaceae (B4-2, depth 0.35 m, B8, depth 0.15 m), 27.-28. Equisetum (B7, depth 0.20 m), 29.-30. Sphagnum (B4-2, depth 0.35 m). Photo E. Břízová. in Reconstruction Of Vegetation Development On The Floodplain Of The Litavka River In The Holocene (Central Bohemia, Brdy Mts.)
Text-fig. 2 Photos of palynomorphs. AP: 1.-2. Picea (B4-2, depth 0.35 m), 3.-4. Abies (B9, depth 0.10 m, B11-3, depth 0.01 m), 5.-8. Pinus (B8, depth 0.15 m, B9, depth 0.10 m), 9.-11. Alnus (B8, depth 0.15 m, B11, depth 0.01 m), NAP: 16.-17. Asteraceae Liguliflorae (B4-2, depth 0.35 m), 18.-20. Cyperaceae (B9, depth 0.10 m, B11-3, depth 0.01 m), 21.-22. Artemisia (B8, depth 0.15 m), Pteridophyta: 23.-26. Polypodiaceae (B4-2, depth 0.35 m, B8, depth 0.15 m), 27.-28. Equisetum (B7, depth 0.20 m), 29.-30. Sphagnum (B4-2, depth 0.35 m). Photo E. Břízová.
Linked collectors and determiners for: Modelación de la distribución geográfica de las especies del género Abies presentes en México.
Natural history specimen data linked to collectors and determiners held within, "Modelación de la distribución geográfica de las especies del género Abies presentes en México". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/772b065f-0b77-4557-934b-81efba7f4610">https://bionomia.net/dataset/772b065f-0b77-4557-934b-81efba7f4610</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/772b065f-0b77-4557-934b-81efba7f4610">https://gbif.org/dataset/772b065f-0b77-4557-934b-81efba7f4610</a>. Formatted as a Frictionless Data package.
Data from: The HypoMethylated Partial Restriction (HMPR) method reduces the repetitive content of genomic libraries in Norway spruce (Picea abies)
To evaluate the usefulness of Reduced Representation Libraries (RRL) in species with large and highly repetitive genomes such as conifers, we employed Hypomethylated Partial Restriction (HMPR) on the genome of Norway spruce (Picea abies). The HMPR method preferentially removes the repetitive fraction of the genome, which is commonly hypermethylated. Hence, RRLs should be enriched for the hypomethylated gene space. For comparison a standard shotgun library was constructed and samples of the respective libraries were obtained through Sanger sequencing. We obtained a nine-fold gene enrichment, a value which is slightly higher than for other plant species. The higher relative efficiency of HMPR is probably a consequence of the large Norway spruce genome size since the probability of finding genes in a standard shotgun library is very small. The amount of repetitive DNA was reduced by 45% in the RRLs, demonstrating the ability to efficiently remove hypermethylated DNA. Annotating sequences in an uncharacterized genome remains challenging and a large number of sequences could not be classified as either repetitive DNA or as belonging to the gene space. Upon further investigation, we found that some of these uncharacterized fragments were expressed, and in most cases the expression was spatially differentiated, indicating that they might have a function. Full-length transcripts of a subset of expressed fragments also revealed that these could be long non-coding RNAs. Long non-coding RNAs have been shown to be involved in gene regulation and deserve future attention. In conclusion, our study shows that the HMPR method is effective in constructing libraries enriched for the genic fraction of the genome, while simultaneously reducing the repetitive fraction, in P. abies and may prove a valuable tool for the discovery, validation and assessment of genetic markers in population studies when combined with next generation sequencing technology.
Data from: Sequencing of the needle transcriptome from Norway spruce (Picea abies Karst L.) reveals lower substitution rates, but similar selective constraints in gymnosperms and angiosperms
BACKGROUND: A detailed knowledge about spatial and temporal gene expression is important for understanding both the function of genes and their evolution. For the vast majority of species, transcriptomes are still largely uncharacterized and even in those where substantial information is available it is often in the form of partially sequenced transcriptomes. With the development of next generation sequencing, a single experiment can now simultaneously identify the transcribed part of a species genome and estimate levels of gene expression. RESULTS: mRNA from actively growing needles of Norway spruce (Picea abies) was sequenced using next generation sequencing technology. In total, close to 70 million fragments with a length of 76 bp were sequenced resulting in 5 Gbp of raw data. A de novo assembly of these reads, together with publicly available expressed sequence tag (EST) data from Norway spruce, was used to create a reference transcriptome. Of the 38,419 PUTs (putative unique transcripts) longer than 150 bp in this reference assembly, 83.5% show similarity to ESTs from other spruce species and of the remaining PUTs, 3,704 show similarity to protein sequences from other plant species, leaving 4,167 PUTs with limited similarity to currently available plant proteins. By predicting coding frames and comparing not only the Norway spruce PUTs, but also PUTs from the close relatives Picea glauca and Picea sitchensis to both Pinus taeda and Taxus mairei, we obtained estimates of synonymous and non-synonymous divergence among conifer species. In addition, we detected close to 15,000 SNPs of high quality and estimated gene expression differences between samples collected under dark and light conditions. CONCLUSIONS: Our study yielded a large number of single nucleotide polymorphisms as well as estimates of gene expression on transcriptome scale. In agreement with a recent study we find that the synonymous substitution rate per year (0.6 x 10-09 and 1.1 x 10-09) is an order of magnitude smaller than values reported for angiosperm herbs. However, if one takes generation time into account, most of this difference disappears. The estimates of the dN/dS ratio (non-synonymous over synonymous divergence) reported here are in general much lower than 1 and only a few genes showed a ratio larger than 1.
Data from: Fine-scale spatial genetic structure across the species range reflects recent colonization of high elevation habitats in silver fir (Abies alba Mill.)
<p class="western"><span>Variation in genetic diversity across species ranges has long been recognized as highly informative for assessing populations' resilience and adaptive potential. The spatial distribution of genetic diversity within populations, referred to as fine-scale spatial genetic structure (FSGS), also carries information about recent demographic changes, yet it has rarely been connected to range scale processes. We studied eight silver fir (<i>Abies alba </i>Mill.<i>)</i> population pairs (sites), growing at high and low elevations, representative of the main genetic lineages of the species. A total of 1368 adult trees and 540 seedlings were genotyped using 137 and 116 single nucleotide polymorphisms (SNPs), respectively. Sites revealed a clear east-west isolation-by-distance pattern consistent with the post-glacial colonization history of the species. Genetic differentiation among sites (<i>F</i><sub>CT</sub>=0.148) was an order of magnitude greater than between elevations within sites (<i>F</i><sub>SC</sub>=0.031), nevertheless high elevation populations consistently exhibited a stronger FSGS. Structural equation modeling revealed that elevation and, to a lesser extent, post-glacial colonization history, but not climatic and habitat variables, were the best predictors of FSGS across populations. These results suggest that high elevation habitats have been colonized more recently across the species range. Additionally, paternity analysis revealed a high reproductive skew among adults and a stronger FSGS in seedlings than in adults, suggesting that FSGS may conserve the signature of demographic changes for several generations. Our results emphasize that spatial patterns of genetic diversity within populations provide information about demographic history complementary to non-spatial statistics, and could be used for genetic diversity monitoring, especially in forest trees.</span></p>
Figure 9 in Designation of Thouarella abies Broch, 1965 as the type species of the subgenus Fannyella (Scyphogorgia) Cairns and Bayer, 2009, and description of a new genus for Stenella (Dasystenella) liouvillei Gravier, 1913 (Octocorallia: Primnoidae)
Figure 9. Fannyella abies, holotype (B970): (A) opercular scales; (B) marginal scales.
Figure 10 in Designation of Thouarella abies Broch, 1965 as the type species of the subgenus Fannyella (Scyphogorgia) Cairns and Bayer, 2009, and description of a new genus for Stenella (Dasystenella) liouvillei Gravier, 1913 (Octocorallia: Primnoidae)
Figure 10. Fannyella abies, holotype (B970): (A) body scales; (B) coenenchymal scales.
Figure 3 from: Nader M, El Indary S, Abi Salloum B, Abou Dagher M (2011) Combining non-invasive methods for the rapid assessment of mammalian richness in a transectquadrat survey scheme – Case Study of the Horsh Ehden Nature Reserve, North Lebanon. ZooKeys 119: 63-71. https://doi.org/10.3897/zookeys.119.1040
Figure 3 - Mammalian distribution map showing the location of mammalian activity and the location of the Motion Sensor Cameras.
Abies x vilmorini Mast. (BR0000024497244)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies veitchii Lindl. (BR0000009463363)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies veitchii Lindl. (BR0000024497183)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies veitchii Lindl. (BR0000009238046)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Abies veitchii Lindl. (BR0000024497176)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
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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.