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3,507 results for “Species identification”
Figure 1 from: Sun W, Huang S, Xia J, Zhang X, Li Z (2021) Morphological and molecular identification of Diaporthe species in south-western China, with description of eight new species. MycoKeys 77: 65-95. https://doi.org/10.3897/mycokeys.77.59852
Figure 1 Phylogram of Diaporthe based on combined ITS, TUB, TEF, CAL and HIS genes. The ML and BI bootstrap support values above 50% and 0.90 BYPP are shown at the first and second position, respectively. Strains marked with "*" are ex-type or ex-epitype. Strains from this study are shown in red. Three branches were shortened to fit the page size – these are indicated by symbol (//) with indication number showing how many times they are shortened.
Figure 10 from: Sun W, Huang S, Xia J, Zhang X, Li Z (2021) Morphological and molecular identification of Diaporthe species in south-western China, with description of eight new species. MycoKeys 77: 65-95. https://doi.org/10.3897/mycokeys.77.59852
Figure 10 Diaporthe subclavata (SAUCC194.66) a leaf of Pometia pinnatab, c surface (b) and reverse (c) sides of colony after incubation for 15 days on PDAd conidiomata e–h conidiophores and conidiogenous cells i, j Beta conidia k, l Alpha conidia. Scale bars: 10 μm (e–l).
Data from: Process-based species delimitation leads to identification of more biologically relevant species
<p>Most approaches to species delimitation to-date have considered divergence-only models. While these models are appropriate for allopatric speciation, their failure to incorporate many of the population-level processes that drive speciation, such as gene flow (e.g. in sympatric speciation), places an unnecessary limit on our collective understanding of the processes that produce biodiversity. To consider these processes while inferring species boundaries, we introduce the R-package <i>delimitR</i> and apply it to identify species boundaries in the reticulate taildropper slug (<i>Prophysaon andersoni</i>). Results suggest that secondary contact is an important mechanism driving speciation in this system. By considering process, we both avoid erroneous inferences that can be made when population-level processes such as secondary contact drive speciation but only divergence is considered, and gain insight into the process of speciation in terrestrial slugs. Further, we apply <i>delimitR</i> to three published empirical datasets and find results corroborating previous findings. Finally, we evaluate the performance of <i>delimitR </i>using simulation studies, and find that error rates are near zero when comparing models that include lineage divergence and gene flow for three populations with a modest number of Single Nucleotide Polymorphisms (SNPs; 1,500) and moderate divergence times (< 100000 generations). When we apply <i>delimitR </i>to a complex model set (i.e. including divergence, gene flow, and population size changes), error rates are moderate (~0.15; 10000 SNPs), and, when present, misclassifications occur between highly similar models.</p>
Data from: High-throughput genotyping for species identification and diversity assessment in germplasm collections
Germplasm collections provide an extremely valuable resource for breeders and researchers. However, misclassification of accessions by species often hinders the effective use of these collections. We propose that use of high-throughput genotyping tools can provide a fast, efficient and cost-effective way of confirming species in germplasm collections, as well as providing valuable genetic diversity data. We genotyped 180 Brassicaceae samples sourced from the Australian Grains Genebank across the recently released Illumina Infinium Brassica 60K SNP array. Of these, 76 were provided on the basis of suspected misclassification and another 104 were sourced independently from the germplasm collection. Presence of the A- and C-genomes combined with principle components analysis clearly separated Brassica rapa, B. oleracea, B. napus, B. carinata and B. juncea samples into distinct species groups. Several lines were further validated using chromosome counts. Overall, 18% of samples (32/180) were misclassified on the basis of species. Within these 180 samples, 23/76 (30%) supplied on the basis of suspected misclassification were misclassified, and 9/105 (9%) of the samples randomly sourced from the Australian Grains Genebank were misclassified. Surprisingly, several individuals were also found to be the product of interspecific hybridization events. The SNP (single nucleotide polymorphism) array proved effective at confirming species, and provided useful information related to genetic diversity. As similar genomic resources become available for different crops, high-throughput molecular genotyping will offer an efficient and cost-effective method to screen germplasm collections worldwide, facilitating more effective use of these valuable resources by breeders and researchers.
FIGURE 1 in First survey of Simuliidae (Diptera) from the North of Ceará State, Brazil, with description of a new species and identification keys for the immature stages
FIGURE 1. Map of Ceará State, Brazil, showing the points of sampling.
FIGURE 3 in A new Luprops species from Western Ghats with redescriptions and identification key to the species of Indian Peninsula and Sri Lanka (Tenebrionidae: Lagriinae: Lupropini)
FIGURE 3. Localities of the investigated specimens of Luprops in Pakistan, India and Sri Lanka.
FIGURE 2 in A new Luprops species from Western Ghats with redescriptions and identification key to the species of Indian Peninsula and Sri Lanka (Tenebrionidae: Lagriinae: Lupropini)
FIGURE 2. Colour variability in a natural population of Luprops tristis (Fabricius, 1801).
FIGURES 1–2 in Morphological and molecular identification of all developmental stages of four whitefly species (Hemiptera: Aleyrodidae) commonly intercepted in quarantine
FIGURES 1–2. General morphology of a whitefly. 1, first-larval instar; 2, second-larval instar.
FIGURE 1 in Description of a new species of Epacanthion (Thoracostomopsidae, Nematoda) from Brazil and a modified key for species identification *
FIGURE 1. Study area showing sampling stations.
FIGURE 1 in Molecular and morphological identification of pistachio armored scale insects (Hemiptera: Diaspididae), with description of a new species
FIGURE 1. Adult female of Melanaspis inopinata (Leonardi), illustration by Hosseininaveh.
FIGURE 3 in Molecular and morphological identification of pistachio armored scale insects (Hemiptera: Diaspididae), with description of a new species
FIGURE 3. Adult female of Lepidosaphes pistaciae Archangelskaya, illustration by Hosseininaveh.
FIGURE 2 in Molecular and morphological identification of pistachio armored scale insects (Hemiptera: Diaspididae), with description of a new species
FIGURE 2. Adult female of Melanaspis pistaciae Hosseininaveh & Kaydan, sp. n. holotype.
FIGURE 6 in A new species of Palpares Rambur (Neuroptera: Myrmeleontidae) with an identification key to the species of West Africa
FIGURE 6. Collect localities of Palpares longimaculatus.
FIGURES 40–41 in Identification of Neotropical blow flies of the genus Calliphora Robineau- Desvoidy (Diptera: Calliphoridae) with the description of a new species
FIGURES 40–41. Ovipositors of Calliphora. 40. C. irazuana, sclerites labeled. 41. C. lopesi.
FIGURE 4. Bythaelurus bachi n in Bythaelurus bachi n. sp., a new deep-water catshark (Carcharhiniformes, Scyliorhinidae) from the southwestern Indian Ocean, with a review of Bythaelurus species and a key to their identification
FIGURE 4. Bythaelurus bachi n. sp., paratype, ZMH 26161, adult female, 395 mm TL, in lateral view.
FIGURE 40 in The centipede genus Otostigmus Porat in Brazil: Description of three new species from the Atlantic Forest; a summary and an identification key to the Brazilian species of this genus (Chilopoda, Scolopendromorpha, Scolopendridae, Otostigminae)
FIGURE 40. Distribution of O. limbatus, O. amazonae and O. casus in Brazil.
FIGURE 38 in The centipede genus Otostigmus Porat in Brazil: Description of three new species from the Atlantic Forest; a summary and an identification key to the Brazilian species of this genus (Chilopoda, Scolopendromorpha, Scolopendridae, Otostigminae)
FIGURE 38. Distribution of O. scabricauda in Brazil.
FIGURE 42 in The centipede genus Otostigmus Porat in Brazil: Description of three new species from the Atlantic Forest; a summary and an identification key to the Brazilian species of this genus (Chilopoda, Scolopendromorpha, Scolopendridae, Otostigminae)
FIGURE 42. Distribution of O. buergeri, O. rex, O. demelloi and O. beckeri in Brazil.
FIGURE 41 in The centipede genus Otostigmus Porat in Brazil: Description of three new species from the Atlantic Forest; a summary and an identification key to the Brazilian species of this genus (Chilopoda, Scolopendromorpha, Scolopendridae, Otostigminae)
FIGURE 41. Distribution of O. tibialis, O. pococki, O. tidius and O. diringshofeni in Brazil.
FIGURE 37 in The centipede genus Otostigmus Porat in Brazil: Description of three new species from the Atlantic Forest; a summary and an identification key to the Brazilian species of this genus (Chilopoda, Scolopendromorpha, Scolopendridae, Otostigminae)
FIGURE 37. Distribution of the genus of Otostigmus in Brazil.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.