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83 results for “hypersalinity”
Newly identified nematodes from the Great Salt Lake are associated with microbialites and specially adapted to hypersaline conditions
<p>Extreme environments enable the study of simplified food-webs and serve as models for evolutionary bottlenecks and early Earth ecology. We investigated the biodiversity of invertebrate meiofauna in the benthic zone of the Great Salt Lake (GSL), UT, one of the most hypersaline lake systems in the world. The hypersaline bays within the GSL are currently thought to support only two multicellular animals: brine fly larvae and brine shrimp. Here, we report the presence, habitat, and microbial interactions of novel free-living nematodes. Nematode diversity drops dramatically along a salinity gradient from a freshwater river into the south arm of the lake. In Gilbert Bay, nematodes primarily inhabit reef-like organosedimentary structures built by bacteria called microbialites. These structures likely provide a protective barrier to UV and aridity, and bacterial associations within them may support life in hypersaline environments. Notably, sampling from Owens Lake, another terminal lake in the Great Basin that lacks microbialites, did not recover nematodes from similar salinities. Phylogenetic divergence suggests that GSL nematodes represent previously undescribed members of the family Monhysteridae – one of the dominant fauna of the abyssal zone and deep-sea hydrothermal vents. These findings update our understanding of halophile ecosystems and the habitable limit of animals.</p>
Figure 2 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon
Figure 2. Variation of multiple factors (temperature, salinity, oxygen (mg.L-1), and pH) in each collection station over the sampled months of 2010 and 2011.
Figure 1 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon
Figure 1. Map of the coast of the state of Rio de Janeiro pointing out the 8 sampling stations of the Araruama lagoon.
Figure 4 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon
Figure 4. Temporal correlations between larvae of Cirripedia and Acartia tonsa (A) and between Acartia tonsa and temperature (B).
Figure 3 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon
Figure 3. Relationship between temperature, salinity, and pH and their effect on the abundance of Cirripedia larvae over the months.
Figure 5 in Tracking of spatial changes in the structure of the zooplankton community according to multiple abiotic factors along a hypersaline lagoon
Figure 5. Variation of zooplankton density in each collection station, variations in the index of Shannon-Weaver which measures the Diversity (H) and the Pielou's uniformity which measures the Equitability (J) over the sampled months.
Fig. 3 in Free-living Heterotrophic Flagellates Lakes in Turkey (Protista) from Two Hypersaline
Fig. 3. (a) Ancyromonas sigmoides, (b) Caecitellus parvulus, (c) Cafeteria roenbergensis, (d) Cantina marsupialis, (e) Chelonemonas sp., (f) Codosiga botrytis, (g) Carpediemonas membranifera, (h) Neobodo curvifilus, (i) Neobodo designis, (j) Neobodo saliens, (k) unidentified protist, (l)-(m) Pleurostomum flabellatum, (n) Rhyncomonas nasuta, (o) Monosiga brevicollis, (p) Salpingoeca marina, (q) Pendulomonas adriperis, (r) Halocafeteria seosinensis. All micrographs are DIC images. Scale bar in (k) represents for all figures.
Fig. 2 in Free-living Heterotrophic Flagellates Lakes in Turkey (Protista) from Two Hypersaline
Fig. 2. (a) Ancyromonas sigmoides, (b) Neobodo curvifilus, (c) Chelonemonas sp., (d) Carpediemonas membranifera, (e) Caecitellus parvulus, (f) Codosiga botrytis, (g) Cafeteria roenbergensis, (h) Pleurostomum flabellatum, (i) Rhynchomonas nasuta, (j) Salpingoeca marina, (k) Pendulomonas adriperis, (l) Neobodo saliens, (m) unidentified protist, (n) Neobodo designis, (o) Monosiga brevicollis, (p) Halocafeteria seosinensis, (q) Cantina marsupialis.
Figure 10 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 10. Abundance of infection of Coptodon guineensis at Sebkha Imlili by acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae according to fish total length. Infection occurred in fish as small as 20 mm. Larger fish were more often infected than smaller fish.
Figure 5 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 5. Unidentified metacercariae from Coptodon guineensis at Sebkha Imlili. A. Metacercaria (arrow) showing ocelli and associated with intense granulocytic reaction in intestinal mucosa. B. Fresh squash of spleen showing numerous metacercariae.
Figure 4 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 4. Metacercariae of heterophyid Pygidiopsis genata from Coptodon guineensis at Sebkha Imlili. A. Numerous metacercariae encysted on the outer wall of stomach. B & C. Fresh squashes of infected tissues with clusters of live metacercariae. D. SEM of excysted metacercariae showing a pyriform scaled body with terminal oral sucker (arrow) and subequatorial acetabulum (arrowhead). E. Oral sucker unarmed. F. small ventral sucker. Insert: pectinate body scales.
Figure 6 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 6. Prevalence of infection (%) of Coptodon guineensis at Sebkha Imlili. Blue bars = acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae (December 2018: n = 93; April 2019: n = 80; July 2019: n = 92; October 2019: n = 57); Orange bars = metacercariae of Pygidiopsis genata (Dec 2018: n = 92; April 2019: n = 80; July 2019: n = 39; October 2019: n = 53); Grey bars = unidentified metacercariae (December 2018: n = 92; April 2019: n = 80; July 2019: n = 25; October 2019: n = 35).
Figure 2 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 2. Acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae from Coptodon guineensis at Sebkha Imlili. Fresh preparations. A. Female worm (gravid). B. Male worm. C. Ellipsoid eggs in gravid female. D. Proboscis and anterior trunk (montage) of male worm. Note strong anterior hooks and abruptly smaller middle and posterior hooks as well as regular rows of spines that were lost and leave rosette marks on tegument. E. Posterior end of male worm showing terminal genital opening and everted copulatory bursa. F. Posterior end of female showing terminal genital opening.
Figure 9 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 9. Mean trunk length of females of acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae in Coptodon guineensis at Sebkha Imlili (December 2018: n = 41; April 2019: n = 42; July 2019: n = 47; October 2019: n = 50). Worms were significantly smaller in April and October compared to December and July.
Figure 8 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 8. Proportions of females of acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae in Coptodon guineensis at Sebkha Imlili according to stage of maturity. Solid bars = immature females (no genitalia visible); dotted bars = ovigerous females (ovarian balls visible); striped bars = gravid females (December 2018: n = 41; April 2019: n = 42; July 2019: n = 47; October 2019: n = 50). Gravid females were present throughout the year but significantly more abundant proportionally in December and July, which may indicate a short life span of the worms and quick turnover in the fish.
Figure 3 in Parasites of Moroccan desert Coptodon guineensis (Pisces, Cichlidae): transition and resilience in a simplified hypersaline ecosystem
Figure 3. Acanthocephalan Acanthogyrus (Acanthosentis) cf. tilapiae from Coptodon guineensis at Sebkha Imlili. SEM. A. Male proboscis showing large anterior hooks markedly separated from small posterior hooks. B. Anterior trunk of female showing rows of spines. C. Female body spine.
Figure 1 in Ostracods in the plankton of the Sivash Bay (the Sea of Azov) during its transformation from brackish to hypersaline state
Figure 1. Bay Sivash. Occurrence of the five ostracod species (only "alive" specimens) at the sampling stations in 2004, 2014 and 2015. Red icons – Cyprideis torosa, green – Loxoconcha bulgarica, violet – Loxoconcha aestuarii, blue – Cytherois cepa, yellow – Leptocythere devexa.
Figure 1 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 1. Map of the Rio de Janeiro state coast highlighting the 12 sampling stations in Araruama lagoon.
Figure 5 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 5. Cladocera Assemblage of Araruama Lagoon from January 2010 to December 2013. Stations 11 and 12 with different scales. E. spinifera (black and white lines arranged laterally); P. tergestina (black with small white spots);P. avitostris (vertical black and white lines); P. polyphemoides (chess pattern); P. sckmackeri (black and white lines waved horizontally).
Figure 3 in Spatio-temporal variability in the Cladocera assemblage of a subtropical hypersaline lagoon
Figure 3. BoxPolt of temperature presented from means and standard deviation, spatial variation (A) and temporal variation (B).
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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
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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.