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171 results for “plant identification”
Fig. 3 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 3. Proportion of individuals of different developmental stages of Cactoblastis cactorum in Tucumán throughout the year. Inside the bars: E = eggsticks, L = larvae, P = pupae.
Linked collectors and determiners for: What happens when scientists play telephone game? The cautionary tale of " Lippia grandis " and the importance of correct plant identification.
Natural history specimen data linked to collectors and determiners held within, "What happens when scientists play telephone game? The cautionary tale of " Lippia grandis " and the importance of correct plant identification". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/33f6613d-d1d6-451e-bab2-b7598665be83">https://bionomia.net/dataset/33f6613d-d1d6-451e-bab2-b7598665be83</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/33f6613d-d1d6-451e-bab2-b7598665be83">https://gbif.org/dataset/33f6613d-d1d6-451e-bab2-b7598665be83</a>. Formatted as a Frictionless Data package.
Supplementary materials to: Nano-Strainer: a workflow for identification of single-copy nuclear loci for plant systematic studies, using target capture kits and Oxford Nanopore long reads
<p>In the paper associated with this dataset, a workflow is presented which enables the identification of single-/low-copy nuclear molecular markers for a plant group of interest, by mining data from a small representative target capture experiment done using a commercial probe kit and Oxford Nanopore long-read sequencing. The proposed pipeline first assesses sequence variability contained in the data from targeted loci and assigns reads to their respective genes, via a combined BLAST/clustering procedure. Cluster consensus sequences are then examined based on four pre-defined criteria presumably indicative for absence of paralogy. This is done by calculating four specialized indices; loci are ranked according to their performance in these indices, and top-scoring loci are considered putatively single- or low-copy. The approach can be applied to any probe set. As it relies on long reads, the contribution also provides template workflows for processing Nanopore-based target capture data. Identified loci can be used for NGS amplicon sequencing. For detection of possibly remaining paralogy in these data, which might occur in groups with rampant paralogy, the long-read assembly tool CANU is employed. The presented workflow can be useful for researchers dealing with reticulate or polyploidization phylogenetic histories in plants.</p> <p>The present dataset contains several documents supplementing the original paper. Its most important elements are a detailed description (alongside two graphical workflow figures) of all methods employed in the study, suitable for reproducing the steps of the workflow and also the wet-lab work. The workflow employs a collection of BASH, Python and R scripts which is available here, together with a detailed account on command line use in Linux. Also, reference sequences for the identified markers can be found as well as sequence alignments derived from the amplicon sequencing.</p>
Fig. 12 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 12. Habitat of Orinda (Scapulorinda) scapularis (Jacobi, 1928), Lake Eacham car park, 6 May 2022.
Fig. 10 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 10. Habitat and host plant of Orinda (Montorinda) montana sp. nov., Mount Walsh National Park, 14 Dec. 2019. A. Mount Walsh as seen from the car park. B. Landscape on the top of Mount Walsh with shrubs growing between the rocks. C. Host plant, Grevillea whiteana Mc Gill. (Proteaceae). D–E. Host plant, G. whiteana, detail.
Fig. 9 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 9. Orinda (Montorinda) montana sp. nov., Ô, holotype (QM), terminalia. A–D. Pygofer, anal tube and gonostyli. A. Left lateral view. B. Left posterolateral view. C. Posterior view. D. Dorsal view. E–L. Aedeagus. E. Left lateral view. F. Posterior view. G. Left laterodorsal view. H. Left lateroventral view. I. Dorsal view. J. Anterodorsal view. K. Aedeagus posteroventral view. L. Ventral view. Abbreviations: see Material and methods.
Fig. 8 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 8. Orinda (Montorinda) montana sp. nov., ♀, paratype (QM). A. Habitus, dorsal view. B. Habitus, ventral view. C. Habitus, lateral view. D. Posterior wing. E. Habitus, anterolateral view. F. Habitus, perpendicular view of frons. G. Left posterior leg, apical half of tibia and tarsus, ventral view.
Fig. 1 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 1. Orinda (Montorinda) eungellana sp. nov., Ô, holotype (QM). A. Habitus, dorsal view. B. Habitus, ventral view. C. Habitus, lateral view. D. Posterior wing. E. Habitus, anterolateral view. F. Habitus, perpendicular view of frons. G. Left posterior leg, apical half of tibia and tarsus, ventral view.
Fig. 4 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 4. Orinda (Montorinda) spp., adeagus of holotypes. A–B. O. (Montorinda) eungellana sp. nov. A. Left lateral view. B. Posterior view. C–D. O. (Montorinda) montana sp. nov. C. Left lateral view. D. Posterior view.
Fig. 3 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 3. Orinda (Montorinda) eungellana sp. nov., Ô, holotype (QM), terminalia. A–D. Pygofer, anal tube and gonostyli. A. Left lateral view. B. Left posterolateral view. C. Posterior view. D. Dorsal view. E–L. Aedeagus. E. Left lateral view. F. Posterior view. G. Left laterodorsal view. H. Left lateroventral view. I. Dorsal view. J. Anterodorsal view. K. Posteroventral view. L. Ventral view. Abbreviations: see Material and methods.
Supplementary materials to: Nano-Strainer: a workflow for identification of single-copy nuclear loci for plant systematic studies, using target capture kits and Oxford Nanopore long reads
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Peatland restoration in Norway – evaluation of ongoing monitoring and identification of plant indicators of restoration success
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Data from: Characterization of rhizome transcriptome and identification of a rhizomatous ER body in the clonal plant Cardamine leucantha
<p>The rhizome is a plant organ that develops from a shoot apical meristem but penetrates into belowground environments. To characterize the gene expression profile of rhizomes, we compared the rhizome transcriptome with those of the leaves, shoots and roots of a rhizomatous Brassicaceae plant, <i>Cardamine leucantha.</i> Overall, rhizome transcriptomes were characterized by the absence of genes that show rhizome-specific expression and expression profiles intermediate between those of shoots and roots. Our results suggest that both endogenous developmental factors and external environmental factors are important for controlling the rhizome transcriptome. Genes that showed relatively high expression in the rhizome compared to shoots and roots included those related to belowground defense, control of reactive oxygen species, and cell elongation under dark conditions. A comparison of transcriptomes further allowed us to identify the presence of an ER body, a defense-related belowground organelle, in epidermal cells of the <i>C. leucantha </i>rhizome, which is the first report of ER bodies in rhizome tissue.</p>
Plant carbohydrate-active enzymes in bamboo (Neosinocalamus affinis): identification, classification and function in lignocellulose biosynthesis in herbivore defence
<p><i><span>Neosinocalamus affinis</span></i>, a type of cluster bamboo,<i> </i>is a good candidate feedstock for biomass energy. In the study, we found a total of 686 genes were identified as belonging to CAZyme families in the <i><span>N. affinis</span></i> transcriptome, including 222 glycoside hydrolases (GHs), 288 glycosyltransferases (GTs), 64 carbohydrate esterases (CEs), 70 auxiliary activities (AAs), 37 carbohydrate binding modules (CBMs) and five polysaccharide lyases (PLs). Expression profiles revealed that several CAZyme genes were up-regulated after insect infestation, particularly the GT, GH, AA and CE family members. Lignocellulose assays showed that the contents of three components, cellulose, hemicellulose and lignin, increased after insect infestation. Our findings showed that CAZyme genes were abundant in the <i><span>N. affinis</span></i> transcriptome and were involved in the response to herbivory. These findings could be applied to protect bamboo against herbivores, such as the bamboo snout beetle <i><span>Cyrtotrachelus buqueti</span></i>, and develop low-cost chemical feedstock from bamboo.</p>
The role of tetradecane in the identification of host plants by the pest bugs Apolygus lucorum and Adelphocoris suturalis
<p><em><span>Apolygus lucorum </span></em><span>and <em>Adelphocoris suturalis </em>are considered serious pests to many cultures in China. Safe alternatives are needed to manage these mirid pests. </span>The current study identified <span>compounds from volatiles of the </span>ethanol extracts of <span><em>Phaseolus vulgaris</em> </span><span>pods and the other </span>10 common hosts. GCMS detection showed that t<span>etradecane</span><span>, 2-propyl-1-pentanol, and dodecanal were included in these </span>volatiles and<span> </span>tetradecane was present in all the volatiles.</p>
Elk food habits using DNA metabarcoding for plant identification
<p>North American elk (<em>Cervus canadensis</em>) inhabited portions of the Eastern United States until extirpation in the mid-1800s. From 2000 to 2008, 201 elk were reintroduced to the North Cumberland Wildlife Management Area (NCWMA), Tennessee. The stocking source was Elk Island National Park, Alberta Canada where there are two distinct genetic populations isolated from the north and south. This genetic structure has largely persisted in the population after translocation. Food habits were evaluated in the early stages of restoration, but the population has had approximately 20 years to adapt to the landscape, and current food habits are unknown. To assess diet composition using DNA metabarcoding, we collected fecal pellets of elk from 65 openings within the 79,318-ha NCWMA weekly from February to April of 2019. We targeted the ITS2 region of the nuclear ribosomal DNA to amplify vegetation sequences found in the internal portion of the elk feces. DNA metabarcoding of feces was linked to results from an accompanying elk population genetics study to investigate food habits between sexes from the two different genetic groups. The majority (80.298%) of sequences matched plants from 22 genera. The top genera (>5.000%) represented were <em>Vaccinium</em> (15.216%), <em>Festuca</em> (8.446%), <em>Rosa</em> (6.358%), <em>Robinia</em> (5.793%), and <em>Eleagnus</em> (5.186%). Elk heavily used woody plants before and after spring green-up (>50% of diet). However, the quantity of forbs in their diet more than doubled after emergence in the spring. The sex-genetic groups consumed similar vegetation in approximately proportionate amounts. Diversity analyses revealed a significant difference in plant genera sequence detection between males from the two genetic groups, although this finding is likely explained by limited sample size. NCWMA elk used a variety of forage in the winter and DNA metabarcoding analysis allows for a comprehensive analysis of food habits useful for monitoring how elk respond dietarily to habitat management.</p>
Fig. 4 in A study of Cactoblastis cactorum (Lepidoptera: Pyralidae) in its native range: further insights into life cycle, larval identification, developmental parameters, natural enemies, and damage to the host plant Opuntia ficus-indica (Caryophyllales: Cactaceae)
Fig. 4. Number of eggs across months for all sampling sites from Tucumán.
Fig. 6 in The Australian issid planthopper genus Orinda Kirkaldy, 1907: New subgenera, new species, host plant and identification key (Hemiptera: Fulgoromorpha: Issidae)
Fig. 6. Orinda spp., distribution map.
Plant carbohydrate-active enzymes in bamboo (Neosinocalamus affinis): identification, classification and function in lignocellulose biosynthesis in herbivore defence
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The role of tetradecane in the identification of host plants by the pest bugs Apolygus lucorum and Adelphocoris suturalis
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.