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Fig. 2 in A report of 30 unrecorded bacterial species in Korea, isolated from marine ecosystems in 2021
Fig. 2. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationship between the strains isolated in this study and their closest bacterial species in classes Alphaproteobacteria, Bacilli, Cytophagia, Flavobacteriia, Fusobacteriia, and Clostridia. Bootstrap values over 70% are shown.
Fig. 1 in A report of 30 unrecorded bacterial species in Korea, isolated from marine ecosystems in 2021
Fig. 1. Neighbor-joining phylogenetic tree based on 16S rRNA gene sequences showing the relationship between the strains isolated in this study and their closest bacterial species in the class Gammaproteobacteria. Bootstrap values over 70% are shown.
Fig. 3 in A report of 30 unrecorded bacterial species in Korea, isolated from marine ecosystems in 2021
Fig. 3. Transmission electron micrographs of scanning electron micrographs of cells of the strain isolated in this study. Strains: 1, HNI- BRBA38; 2, HNIBRBA54; 3, HNIBRBA100; 4, HNIBRBA151; 5, HNIBRBA189; 6, HNIBRBA220; 7, HNIBRBA244; 8, HNIBRBA255; 9, HNIBRBA270; 10, HNIBRBA272; 11, HNIBRBA274; 12, HNIBRBA350; 13, HNIBRBA370; 14, HNIBRBA397; 15, HNIBRBA406; 16, HNIBRBA489; 17, HNIBRBA506; 18, HNIBRBA601; 19, HNIBRBA666; 20, HNIBRBA682; 21, HNIBRBA683; 22, HNIBRBA684; 23, HNIBRBA685; 24, HNIBRBA688; 25, HNIBRBA773; 26, HNIBRBA833; 27, HNIBRBA853; 28, HNIBRBA855; 29, HNIBRBA866; 30, HNIBRBA1036. Scale bars are indicated in parenthesis after strain ID.
Threatened endemic arthropods and vertebrates partition their diets with non-native ants in an isolated island ecosystem - binary diet dataset and stats code
<p>The dietary dataset associated to <strong>"Threatened endemic arthropods and vertebrates partition their diets with non-native ants in an isolated island ecosystem"</strong>. We also provide the novel code (in R) used for the statistical analyses.</p>
Fig. 1 in The importance of isolated patches for maintaining local bird biodiversity and ecosystem function: a case study from the Pernambuco Center of Endemism, Northeast Brazil
Fig. 1. Rarefaction curve based at Mata do Cedro abundance and richness, state of Alagoas, Brazil.
Fig. 2 in The importance of isolated patches for maintaining local bird biodiversity and ecosystem function: a case study from the Pernambuco Center of Endemism, Northeast Brazil
Fig. 2. Functional dendrogram of species of birds found at Mata do Cedro, state of Alagoas, Brazil.
Habitat isolation interacts with top-down and bottom-up processes in a seagrass ecosystem
<p>Habitat loss is accelerating at unprecedented rates, leading to the emergence of smaller, more isolated habitat remnants. Habitat isolation adversely affects many ecological processes independently, but little is known about how habitat isolation may interact with ecosystem processes such as top-down (consumer-driven) and bottom-up (resource-driven) effects. To investigate the interactive influence of habitat isolation, resource availability and consumer distribution and impact on community structure, we tested two hypotheses using invertebrate and algal epibionts on temperate seagrasses, an ecosystem of ecological and conservation importance. First, we hypothesized that habitat isolation will change the structure of the seagrass epibiont community, and isolated patches of seagrass will have lower epibiont biomass and different epibiont community composition. Second, we hypothesized that habitat isolation would mediate top-down (i.e., herbivory) and bottom-up (i.e., nutrient enrichment) control for algal epibionts. We used observational studies in natural seagrass patches, and experimental artificial seagrass to examine three levels of habitat isolation. We further manipulated top-down and bottom-up processes in artificial seagrass through consumer reductions and nutrient additions, respectively. We indeed found that habitat isolation of seagrass patches decreased epibiont biomass and modified epibiont community composition. This pattern was largely due to dispersal limitation of invertebrate epibionts that resulted in a decline in their abundance and richness in isolated patches. Further, habitat isolation reduced consumer abundances, weakening top-down control of algal epibionts in isolated seagrass patches. Nutrient additions, however, reversed this pattern, and allowed a top-down effect on algal richness to emerge in isolated habitats, demonstrating a complex interaction between patch isolation and top-down and bottom-up processes. Habitat isolation may therefore shape the relative importance of central processes in ecosystems, leading to changes in community composition and food web structure in marine habitats.</p>
Habitat isolation interacts with top-down and bottom-up processes in a seagrass ecosystem
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FIGURE 5 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 5. Neighbor–joining tree based on nifH gene sequences of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. Synechocystis sp. WH8501 was used as an outgroup. The studied cyanobacterial strains were in bold font. A bootstrap test involving 1000 resamplings was performed. Bar, 0.05 substitution rate (K ) units.
FIGURE 4 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 4. Phylogenetic tree based on 16S rRNA gene sequences using the Bayesian algorism, showing the positions of strains Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. Gloeobacter violaceus strain PCC 7421 was used as an outgroup. The studied starins were labelled in bold. Only posterior probabilities ≥ 0.50 were indicated. Bar, 0.03 substitution rate (Knuc) units.
FIGURE 2 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 2. Scanning electron micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. a–e: SCSIO T-2; f–i: SCSIO 43686. Scale bars: a, g=10 μm; b–f, i= 5μm; h=1μm.
FIGURE 1 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 1. Light micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686 (100X). a–c: SCSIO T-2; d–f: SCSIO 43686. a. unbranched and breakage of filaments. b. rounded terminal cell, sometimes extended. c. entangled filements. d. wavy filaments. e. firm sheath contained uniseriate and unbranched trichome. f. filaments reproducing by hormogonia. Scale bars= 10 μm.
FIGURE 3 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 3. Transmission electron micrographs of Marileptolyngbya sina SCSIO T-2 and Salileptolyngbya diazotrophicum SCSIO 43686. a–b. Cross section view of SCSIO T-2. c–d. Longitudinal section view of SCSIO T-2. e–g. Cross section view of SCSIO 43686. h–i. Longitudinal section view of SCSIO 43686. Scale bars: a–b, e–f, h–i= 200μm; c–d= 500 μm; f= 100μm.
FIGURE 6 in Marileptolyngbya sina gen. nov., sp. nov. and Salileptolyngbya diazotrophicum gen. nov., sp. nov. (Synechococcales, Cyanobacteria), species of cyanobacteria isolated from a marine ecosystem
FIGURE 6. Transcript secondary structure of 16S–23S ITS region of Marileptolyngbya sina SCSIO T-2, Salileptolyngbya diazotrophicum SCSIO 43686 and representative sister taxa. (a–e) D1–D1' helix. (f–j) Box B helix. (k–o) V3 helix. a, e, f= SCSIO T-2; b, f, j= SCSIO 43686; c, g, k= Nodosilinea nodulosa UTEX 2910; d, h, l= Leptolyngbya boryana PCC 6306; e, j, o= Haloleptolyngbya alcalis KR2005/106.
FIGURE 3 in Polyphasic characterization of Nostoc commune (Cyanobacteria, Nostocaceae) isolated from rice growing agro-ecosystems of Dima Hasao district of Assam, North-East India
FIGURE 3. Phylogenetic analysis based on partial 16S rRNA gene sequences. Marked strains are the N. commune strains isolated from the selected agro-ecosystems(flat and terraced paddy fields).
FIGURE 2. Growth curve obtained for the strains. A in Polyphasic characterization of Nostoc commune (Cyanobacteria, Nostocaceae) isolated from rice growing agro-ecosystems of Dima Hasao district of Assam, North-East India
FIGURE 2. Growth curve obtained for the strains. A. Nostoc commune AUS-JR/DB/NT-003. B. Nostoc commune AUS-JR/DB/NT- 004.
FIGURE 1. Morphological variation within the N. commune strains. A, B in Polyphasic characterization of Nostoc commune (Cyanobacteria, Nostocaceae) isolated from rice growing agro-ecosystems of Dima Hasao district of Assam, North-East India
FIGURE 1. Morphological variation within the N. commune strains. A, B. Plate view and liquid culture of N. commune AUS-JR/DB/ NT-003. C, D. Plate view and liquid culture of N. commune AUS-JR/DB/NT-004. E. A single colony of N. commune AUS-JR/DB/NT- 003. F. A single colony of N. commune AUS-JR/DB/NT-004. G. Disintegration of the sheath. H. Individual trichomes. I. Aseriate filaments (h: heterocyst). J. Seriate filaments. K. Ensheathed coccoid cells. L. Old colonies with reduced trichome. Bar length = 50µm.
Data from: Waterscape genetics of the yellow perch (Perca flavescens): patterns across large connected ecosystems and isolated relict populations
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Organic factors positively mediate stability across multiple communities in isolated aquatic ecosystems
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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.