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1,636 results for “marine species”
Fig. 36 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 36. Thinophilus variabilis sp. nov., ♂, habitus.
Fig. 16 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 16. Thinophilus parmatoides sp. nov., ♂, habitus.
Fig. 26 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 26. Thinophilus spinatoides sp. nov., ♀, habitus.
Fig. 7 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 7. Thinophilus langkawensis sp. nov., ♀, habitus.
Figs 1–2 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Figs 1–2. Thinophilus boonrotpongi sp. nov. 1. ♂, habitus. 2. ♀, habitus.
Fig. 30 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 30. Thinophilus spinatus sp. nov., ♂, habitus.
Fig. 25 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 25. Thinophilus spinatoides sp. nov., ♂, habitus.
Fig. 6 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 6. Thinophilus langkawensis sp. nov., ♂, habitus.
Fig. 12 in Eight new species of marine dolichopodid flies of Thinophilus Wahlberg, 1844 (Diptera: Dolichopodidae) from peninsular Thailand
Fig. 12. Thinophilus minutus sp. nov., ♂, habitus.
Fig. 20 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 20. Pankowskichthys libanicus gen. et sp. nov. Caudal skeleton of holotype, IRSNB P 9278.
Fig. 17 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 17. Pankowskichthys libanicus gen. et sp. nov. Holotype, IRSNB P 9278.
Fig. 12 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 12. Joinvillichthys kriweti gen. et sp. nov. Holotype, CLC S-137.
Fig. 9 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 9. Joinvillichthys lindstroemi (Davis, 1890). Caudal skeleton of sample IRSNB N° P 9276.
Fig. 2 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 2. Joinvillichthys lindstroemi (Davis, 1890). Sample IRSNB N° P 9276.
Fig. 1 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 1. Joinvillichthys lindstroemi (Davis, 1890). Holotype, NRM PZ P. 2073.
Fig. 7 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 7. Joinvillichthys lindstroemi (Davis, 1890). Vomerian region of sample CLC S-138
Fig. 3 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 3. Joinvillichthys lindstroemi (Davis, 1890). Sample CLC S-138.
Fig. 8 in On the "Coccodus" lindstroemi species complex (Pycnodontiformes, Gladiopycnodontidae) from the marine Late Cretaceous of Lebanon, with the description of two new genera
Fig. 8. Joinvillichthys lindstroemi (Davis, 1890). Orbital region of sample IRSNB N° P 9276.
Copy number variants outperform SNPs to reveal genotype-temperature association in a marine species
<p>Copy number variants (CNVs) are a major component of genotypic and phenotypic variation in genomes. To date, our knowledge of genotypic variation and evolution has largely been acquired by means of single nucleotide polymorphism (SNPs) analyses. Until recently, the adaptive role of structural variants (SVs) and particularly that of CNVs has been overlooked in wild populations, partly due to their challenging identification. Here, we document the usefulness of Rapture, a derived reduced‐representation shotgun sequencing approach, to detect and investigate copy number variants (CNVs) alongside SNPs in American lobster (<i>Homarus americanus</i>) populations. We conducted a comparative study to examine the potential role of SNPs and CNVs in local adaptation by sequencing 1,141 lobsters from 21 sampling sites within the southern Gulf of St. Lawrence, which experiences the highest yearly thermal variance of the Canadian marine coastal waters. Our results demonstrated that CNVs account for higher genetic differentiation than SNP markers. Contrary to SNPs, for which no significant genetic–environment association was found, 48 CNV candidates were significantly associated with the annual variance of sea surface temperature, leading to the genetic clustering of sampling locations despite their geographic separation. Altogether, we provide a strong empirical case that CNVs putatively contribute to local adaptation in marine species and unveil stronger spatial signal of population structure than SNPs. Our study provides the means to study CNVs in nonmodel species and highlights the importance of considering structural variants alongside SNPs to enhance our understanding of ecological and evolutionary processes shaping adaptive population structure.</p>
Data from: Feeding environment and other traits shape species' roles in marine food webs
Food webs and meso-scale motifs allow us to understand the structure of ecological communities and define species' roles within them. This species-level perspective on networks permits tests for relationships between species' traits and their patterns of direct and indirect interactions. Such relationships could allow us to predict food-web structure based on more easily-obtained trait information. Here we calculated the roles of species (as vectors of motif position frequencies) in six well-resolved marine food webs and identified the motif positions associated with the greatest variation in species' roles. We then tested whether the frequencies of these positions varied with species' traits. Despite the coarse-grained traits we used, our approach identified several strong associations between traits and motifs. Feeding environment was a key trait in our models and may shape species' roles by affecting encounter probabilities. Incorporating environment into future food web models may improve predictions of an unknown network structure.
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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.