Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
2
datasets available to search
ShareScore release 0.9.0
Dataset results
2 results for “Lacistorhynchidae”
Lacistorhynchidae family 28S alignment
<p><b>Aim:</b> Trypanorhyncha cestodes comprise a wide range of heteroxenous parasites infecting elasmobranchs as definitive hosts, with crustaceans, squids, and fishes acting as intermediate/paratenic hosts. Limited data exist on the larval infection of these cestodes and the role of intermediate and paratenic hosts in the life cycle of these parasites. In this study, we investigated the factors that determine the occurrence and the level of infection of <i>Grillotia</i> plerocerci in the skeletal muscles of various deep sea benthonic sharks and analysed the parasites through an integrative taxonomic approach.</p> <p><b>Location:</b> Gulf of Naples, Mediterranean Sea.</p> <p><b>Methods: </b>Sharks obtained as bycatch of commercial trawling activities (i.e., <i>Etmopterus spinax</i>, <i>Galeus melastomus </i>and <i>Scyliorhinus canicula</i>) were used in this study. Data from a limited number of <i>Dalatias licha</i> and <i>Scyliorhinus stellaris </i>were also included. <i>Grillotia </i>plerocerci were molecularly characterized using the p<span>artial 28S large subunit rDNA. B</span>oosted regression trees were used to model the relationship between the abundance of infection with both morphological and physiological predictors in each host.</p> <p><b>Results:</b> Plerocerci of <i>Grillotia </i>were detected in all shark species except <i>S. stellaris.</i> Host species significantly differed in terms of parasite abundance, with the highest and lowest prevalence and abundance of infection detected in <i>G. melastomus</i> and <i>E. spinax</i>, respectively. The relative influence of the traits involved in explaining the parasite abundance were related to the host size in <i>G</i>. <i>melastomus</i>, while both morphology- and physiology-related traits (e.g., gonadosomatic and hepatosomatic indices) explained the patterns observed in <i>E</i>. <i>spinax</i> and <i>S</i>. <i>canicula</i>. The 28S rDNA sequences shared identity of ∼99.40% with a <i>Grillotia</i> species previously found in the Mediterranean Sea. At intraspecific level, two different genotypes were found. A first type was retrieved only from <i>D. licha</i>, whereas a second type was found in <i>G. melastomus</i>, <i>E. spinax</i>,<i> </i>and<i> S. canicula</i>.</p> <p><b>Main conclusions:</b> Present results suggest that the two genotypes could be involved in different consumer-resource systems and confirm most of the examined shark species as transport hosts of <i>Grillotia</i> species for unknown larger top predators.</p>
Lacistorhynchidae family 28S alignment
Open the record for dataset details and reuse information.
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.