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700 results for “molecular identification”
Molecular sequencing and morphological identification reveal similar patterns in native bee communities across private and public grasslands of eastern North Dakota
<p>Bees play a key role in the functioning of human-modified and natural ecosystems by pollinating agricultural crops and wild plant communities. Global pollinator conservation efforts need large-scale and long-term monitoring to detect changes in species' demographic patterns and shifts in bee community structure. The objective of this project was to test a molecular sequencing pipeline that would utilize a commonly used locus, produce accurate and precise identifications consistent with morphological identifications, and generate data that are both qualitative and quantitative. We applied this amplicon sequencing pipeline to native bee communities sampled across Conservation Reserve Program (CRP) lands and native grasslands in eastern North Dakota. We found the 28S LSU locus to be more capable of discriminating between species than the 18S SSU rRNA locus, and in some cases even resolved instances of cryptic species or morphologically ambiguous species complexes. Overall, we found the amplicon sequencing method to be a qualitatively accurate representation of the sampled bee community richness and species identity, especially when a well-curated database of known 28S LSU sequences is available. Both morphological identification and molecular sequencing revealed similar patterns in native bee community structure across CRP lands and native prairie. Additionally, a genetic algorithm approach to compute taxon-specific correction factors using a small subset of the most concordant samples demonstrated that a high level of quantitative accuracy could be possible if the specimens are fresh and processed soon after collection. Here we provide a first step to a molecular pipeline for identifying insect pollinator communities. This tool should prove useful for future national monitoring efforts as use of molecular tools becomes more affordable and as numbers of 28S LSU sequences for pollinator species increase in publicly-available databases.</p>
Simulations for "Molecular Dynamics-Based Identification of Binding Pathways and Two Distinct High-Affinity Sites for Succinate in the Succinate Receptor 1 SUCNR1/GPR91"
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Data from: Molecular identification of an avian predator of mimetic salamanders
<p>Natural field observations of salamander predation are uncommon, in some cases limiting the ability of scientists to study the evolution of toxicity, aposematism, and mimicry in these amphibians. Here, we document field observations of a recently depredated <em>Pseudotriton ruber </em>(Red Salamander) and two <em>Gyrinophilus porphyriticus </em>(Spring Salamanders), members of a putative Müllerian mimetic complex involving <em>Notophthalmus viridescens</em> (Eastern Newts). We use molecular methods to identify the likely avian predator of the Spring Salamanders and underscore the opportunities for future research enabled by the pairing of traditional natural history with modern molecular techniques.</p>
Figure 1 in Identification and molecular characterization of Otobius megnini (Ixodida: Argasidae) seen in humans in Muş province, Turkey
Figure 1. PCR amplification of 16S rRNA gene region in Otobius megnini (Amplicon length 360 bp).
Fig. 3 in Description, molecular identification and pathological lesions of Huffmanela persica sp. nov. (Nematoda: Trichosomoididae: Huffmanelinae) from the daggertooth pike conger Muraenesox cinereus
Fig. 3 (See legend on previous page.)
Identification and Exploration of Immunity-Related Genes and Natural Products for Alzheimer's Disease Based on Bioinformatics, Molecular Docking and Molecular Dynamics
<p>Supplementary material to the article: Identification and Exploration of Immunity-Related Genes and Natural Products for Alzheimer’s Disease Based on Bioinformatics, Molecular Docking and Molecular Dynamics,These data are available to researchers.</p>
FIGURE 1 in Molecular identification of six species of Calliphoridae (Diptera) with forensic interest in Bogotá, Colombia
FIGURE 1: Phenogram distances created under the maximum likelihood model (ML).
Fig. 2. 60 in Identification and Distribution of Wedge Clams (Donacidae: Bivalvia) in Thailand by Geometric Morphometric and Molecular Analysis.
Fig. 2. 60 Outline digitized landmarks along the inner edge of left valve. Scale bar = 5 mm.
Molecular biology techniques for fungal identification: focus on Aspergillus spp.
<p><span>This tutorial summarises the main steps to identify through a molecular approach <em>Aspergillus</em> species isolated from food samples. It starts with introducing the <em>Aspergillus</em> genus, its economic and medical importance, and latest updates in taxonomy. The polyphasic approach for <em>Aspergillus</em> identification was introduced based on Samson et al., 2014. An overview on each of the stage to conduct molecular identification is provided, including examples of different DNA extraction protocols, PCR analysis with <em>Aspergillus</em> species recommended primers, Sanger’s sequencing, and interpretation of BLAST results.</span></p>
Fig. 1 in First molecular identification of Vorticella sp. from freshwater shrimps in Tainan, Taiwan
Fig. 1. Map of the Taiwan showing the location of the sampling site.
Figure 4 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 4. Caligus minimus male (A), caudal rami (B), lunules (C), sternal furca (D).
Figure 2 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 2. Caligus minimus on mouth cavity (A) and tongue (B) of Dicentrarchus labrax.
Figure 1 in Intensity and prevalence of some crustacean fish parasites in Turkey and their molecular identification
Figure 1. Sampling area.
Fig. 2 in The morphological and molecular identification of the tapeworm, Taenia lynciscapreoli, in intermediate and definitive hosts in Poland
Fig. 2. Measurement scheme used to measure rostellar hooks.
Figure 3 in Genus Baseodiscus (Nemertea: Heteronemertea): Molecular identification of a new species in a phylogenetic context
Figure 3. External view of Baseodiscus jonasii sp. nov. Drawing made by Ray Gibson.
Figure 1 in Molecular identification of Haemaphysalis sulcata (Acari: Ixodidae) larval stages collected using the Berlese funnel in Northern Iran
Figure 1. Dorsal aspect of a tick larvae sample collected in this study.
Identification of Potential JNK3 Inhibitors Through Virtual Screening, Molecular Docking And Molecular Dynamics Simulation as Therapeutics for Alzheimer's Disease
<p>Alzheimer's disease (AD) is a complex neurological disorder without effective treatment. One factor in its development is c-Jun N-terminal kinases (JNKs), a type of protein related to brain function. JNK3, found mainly in the brain, contributes to AD by promoting brain abnormalities. Current research aims to create new JNK3 inhibitors for AD treatment using a virtual screening method. A database of compounds was filtered, and five potential compounds were identified with better scores than a reference. These compounds underwent simulations and energy calculations, showing stability and potential as JNK3 inhibitors.</p>
Data from: Molecular mapping and identification of quantitative trait loci for domestication traits in field cress (Lepidium campestre L.) genome
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Identification of potential western bean cutworm (<em>Striacosta albicosta</em>) predators in field corn through molecular gut-content analysis
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Data from:Identifying cryptic mammals with non-invasive methods: An effective molecular species identification tool to survey southern African terrestrial carnivores
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ScienceDex guides
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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.