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180 results for “Macroalgae”
Data from: A path towards appropriate degradation experiments for assessing carbon sequestration potential of macroalgae
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Data from: genetic resources of macroalgae: development of an efficient method using microsatellite markers in non-model organisms
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Detection of a non-indigenous marine macroalga (<em>Acanthophora spicifera</em>) with environmental DNA from surface seawater
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Data from: Nutrients influence the thermal ecophysiology of an intertidal macroalga: multiple stressors or multiple drivers?
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Press versus pulse nutrient supply and species interactions mediate growth of coral reef macroalgae
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Navigating uncertainty in environmental DNA detection of a nuisance marine macroalga
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Data from: Amelioration of ocean acidification and warming effects through physiological buffering of a macroalgae
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Data for: Functional trait variability supports the use of mean trait values and identifies tradeoffs for marine macroalgae
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Data from: Predicting the cover and richness of intertidal macroalgae in remote areas: a case study in the Antarctic Peninsula
1. Antarctica is an iconic region for scientific explorations as it is remote and a critical component of the global climate system. Recent climate change causes dramatic retreat of ice in Antarctica with associated impacts to its coastal ecosystem. These anthropogenic impacts have a potential to increase habitat availability for Antarctic intertidal assemblages. Assessing the extent and ecological consequences of these changes requires us to develop accurate biotic baselines and quantitative predictive tools. 2. In this study, we demonstrated that satellite based remote sensing, when used jointly with in-situ ground-truthing and machine learning algorithms, provides a powerful tool to predict the cover and richness of intertidal macroalgae. 3. The salient finding was that the Sentinel-based remote sensing described a significant proportion of variability in the cover and richness of Antarctic macroalgae. The highest performing models were for macroalgal richness and the cover of brown and green algae as opposed to the model of red algal cover. 4. When expanding the geographical range of the ground-truthing, even involving only a few sample points, it becomes possible to potentially map other Antarctic intertidal macroalgal habitats and monitor their dynamics. This is a significant milestone as logistical constraints are an integral part of the Antarctic expeditions. The method has also a potential in other remote coastal areas where extensive in-situ mapping is not feasible.
Data from: Growth and nitrogen uptake characteristics reveal outbreak mechanism of the opportunistic macroalga Gracilaria tenuistipitata
Macroalgae has bloomed in the brackish lake of Shenzhen Bay, China continuously from 2010 to 2014. Gracilaria tenuistipitata was identified as the causative macroalgal species. The aim of this study was to explore the outbreak mechanism of G. tenuistipitata, by studying the effects of salinity and nitrogen sources on growth, and the different nitrogen sources uptake characteristic. Our experimental design was based on environmental conditions observed in the bloom areas, and these main factors were simulated in the laboratory. Results showed that salinity 12 to 20 ‰ was suitable for G. tenuistipitata growth. When the nitrogen sources' (NH4+, NO3−) concentrations reached 40 µM or above, the growth rate of G. tenuistipitata was significantly higher. Algal biomass was higher (approximately 1.4 times) when cultured with NH4+ than that with NO3− addition. Coincidentally, macroalgal bloom formed during times of moderate salinity (~12 ‰) and high nitrogen conditions. The NH4+ and NO3− uptake characteristic was studied to understand the potential mechanism of G. tenuistipitata bloom. NH4+ uptake was best described by a linear, rate-unsaturated response, with the slope decreasing with time intervals. In contrast, NO3− uptake followed a rate-saturating mechanism best described by the Michaelis-Menten model, with kinetic parameters Vmax = 37.2 µM g−1 DM h−1 and Ks = 61.5 µM. Further, based on the isotope 15N tracer method, we found that 15N from NH4+ accumulated faster and reached an atom% twice than that of 15N from NO3−, suggesting when both NH4+ and NO3− were available, NH4+ was assimilated more rapidly. The results of the present study indicate that in the estuarine environment, the combination of moderate salinity with high ammonium may stimulate bloom formation.
Data from: Warming impacts on early life stages increase the vulnerability and delay the population recovery of a long-lived habitat-forming macroalga
1. Understanding the combined effects of global and local stressors is crucial for conservation and management, yet challenging due to the different scales at which these stressors operate. Here we examine the effects of one of the most pervasive threats to marine biodiversity, ocean warming, on the early life stages of the habitat-forming macroalga Cystoseira zosteroides, its long-term consequences for population resilience and its combined effect with physical stressors. 2. First, we performed a controlled laboratory experiment exploring the impacts of warming on early life stages. Settlement and survival of germlings were measured at 16ºC (control), 20ºC and 24ºC and both processes were affected by increased temperatures. Then, we integrated this information into stochastic, density-dependent integral projection models (IPM). 3. Recovery time after a minor disturbance significantly increased in warmer scenarios. The stochastic population growth rate (λs) was not strongly affected by warming alone, as high adult survival compensated for thermal-induced recruitment failure. Nevertheless, warming coupled with recurrent physical disturbances had a strong impact on λs and population viability. 4. Synthesis: The impact of warming effects on early stages may significantly decrease the natural ability of habitat-forming algae to rebound after major disturbances. These findings highlight that, in a global warming context, populations of deep-water macroalgae will become more vulnerable to further disturbances, and stress the need to incorporate abiotic interactions into demographic models.
Inclusion of macroalgae Sargassum on diets for Southern Black drum
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Figures 25–29 in Two red macroalgae newly introduced into New Zealand: Pachymeniopsis lanceolata (K. Okamura) Y. Yamada ex S. Kawabata and Fushitsunagia catenata Filloramo et G. W. Saunders
Figures 25–29: Field images. (25) Pachymeniopsis lanceolata on a pontoon in Te Ana Marina (Lyttelton). (26) Pachymeniopsis lanceolata on a mooring rope in Port Taranaki. (27) Fushitsunagia catenata on a pontoon in Te Ana Marina. (28) Grateloupia turuturu attached to the keel of a boat moored in Te Ana Marina. (29) Grateloupia subpectinata on a pontoon in Te Ana Marina.
Figures 17–24 in Two red macroalgae newly introduced into New Zealand: Pachymeniopsis lanceolata (K. Okamura) Y. Yamada ex S. Kawabata and Fushitsunagia catenata Filloramo et G. W. Saunders
Figures 17–24: Fushitsunagia catenata. Habit, vegetative and reproductive morphology. (17) A tetrasporic specimen collected in Lyttelton harbour (WELT A034384). Scale bar = 2 cm. (18) Alternate clavate branches of a tetrasporangial specimen (WEL A034384). Scale bar = 1 mm. (19) The abrupt transition between sub isodiametric cells of the pseudoparenchymatous inner cortex and the two or three layered outer cortex (WELT A034384). Scale bar = 20 μm. (20) Irregular branching of a cystocarpic specimen (WELT A034383). Scale bar = 1 cm. (21) Clustered sessile and basally constricted globose cystocarps (WELT A034383). Scale bar = 1 mm. (22) Surface of an ostiolate pericarp (WELT A034383). Scale bar = 1 mm. (23) Alternate or opposite branching of a tetrasporic specimen (WELT A034382). Scale bar = 1 cm. (24) Tetrasporangia encircling the inside margins of wide sorus opening (WELT A034382). Scale bar = 1 mm.
Figures 3–16 in Two red macroalgae newly introduced into New Zealand: Pachymeniopsis lanceolata (K. Okamura) Y. Yamada ex S. Kawabata and Fushitsunagia catenata Filloramo et G. W. Saunders
Figures 3–16: Pachymeniopsis lanceolata. Habit, vegetative and reproductive morphology. (3–10) Morphological variation of samples collected in Lyttelton (WELT A034375–A034381) and Taranaki (WELT A034374) (Figure 6). Scale bar = 2 cm. (11) Cross-section through a young blade showing the thin anticlinal cortex and a lax medulla composed of sparse periclinal filaments (WELT A034376). Scale bar = 20 μm. (12) Cross-section through a mature blade showing a thick cortex and a medulla composed of densely aggregated filaments (WELT A034380). Scale bar = 20 μm. (13) Tetrasporangia (arrows) borne in and dislodged from the cortex (WELT A034377). Scale bar = 20 μm. (14) A carpogonial branch ampulla. Arrow shows trichogyne (WELT A034381). Scale bar = 20 μm. (15) An auxiliary cell ampulla. Arrow shows auxiliary cell (WELT A034381). Scale bar = 20 μm. (16) mature carposporophytes, the distal globular consolidated gonimolobes borne aloft on a columnar fusion cell into the central cystocarp chamber (WELT A034380). Scale bar = 20 µm.
Figure 1 in Two red macroalgae newly introduced into New Zealand: Pachymeniopsis lanceolata (K. Okamura) Y. Yamada ex S. Kawabata and Fushitsunagia catenata Filloramo et G. W. Saunders
Figure 1: Statistical parsimony network of cox3 haplotype sequences of Pachymeniopsis lanceolata from GenBank (Kim et al. 2014). Haplotypes marked (C1–C10, C17); samples from New Zealand had haplotype C9 and C17. Cross line indicates a 1 bp mutational step between haplotypes (circles).
Figure 2 in Two red macroalgae newly introduced into New Zealand: Pachymeniopsis lanceolata (K. Okamura) Y. Yamada ex S. Kawabata and Fushitsunagia catenata Filloramo et G. W. Saunders
Figure 2: Maximum-likelihood phylogeny (−log Ln = 4394.6502) of rbcL sequences of Fushitsunagia catenata and related sequences from GenBank. Genera from the family Lomentariaceae added. Gloiocladia laciniata (Faucheaceae) used as an outgroup. Model used for codons (first = TN + F + I_G4; second = TN + F + I + G4; third = TPM3 + F + I). Scale bar = substitution/site.
Data for: Concordant phylogeographic responses to large-scale coastal disturbance in intertidal macroalgae and their epibiota
<p>Major ecological disturbance events can provide opportunities to assess multispecies responses to upheaval. In particular, catastrophic disturbances that regionally extirpate habitat-forming species can potentially influence the genetic diversity of large numbers of co-distributed taxa. However, due to the rarity of such disturbance events over ecological timeframes, the genetic dynamics of multispecies recolonization processes have remained little understood. Here we use single nucleotide polymorphism (SNP) data from multiple coastal species to track the dynamics of co-colonization events in response to ancient earthquake disturbance in southern New Zealand. Specifically, we use a comparative phylogeographic approach to understand the extent to which epifauna (with varying ecological associations with their macroalgal hosts) share comparable spatial and temporal recolonization patterns. Our study reveals concordant disturbance-related phylogeographic breaks in two intertidal macroalgal species along with two associated epibiotic species (a chiton and an isopod). By contrast, two co-distributed species, one of which is an epibiotic amphipod and the other a subtidal macroalga, show few if any genetic effects of palaeoseismic coastal uplift. Phylogeographic model selection reveals similar post-uplift recolonization routes for the epibiotic chiton and isopod and their macroalgal hosts. Additionally, co-demographic analyses support synchronous population expansions of these four phylogeographically similar taxa. Our findings indicate that coastal paleoseismic activity has driven concordant impacts on multiple codistributed species, with concerted recolonization events likely facilitated by macroalgal rafting. These results highlight that high-resolution comparative genomic data can help reconstruct concerted multispecies responses to recent ecological disturbance.</p>
Raw cutadapt miseq output - minibarcode 18S-V7 of macroalgae
<p>Macroalgae are key primary producers in North Atlantic and Arctic coastal ecosystems, and tracing their fate and distribution is vital to improve our understanding of their ecological role and provision of ecosystem services. Recent advances from environmental DNA (eDNA) have added a new capacity to fingerprint and trace macroalgae. However, further development of resources for amplifying and identifying macroalgal eDNA are much needed. Here, we examined the performance in terms of resolution and specificity of two 18S primers (18S-V7 & 18S-V9) recently applied in identifying macroalgae from eDNA. We also built a local barcode database for primer 18S-V7 with 31 widespread Arctic and North Atlantic macroalgal species to complement the existing DNA databases. Furthermore, we applied metabarcoding of eDNA to identify macroalgae in Arctic marine sediments (Disko Bay, W. Greenland) and evaluated the contributions from our local barcode database. We identified macroalgal DNA from 19 families across 11 orders in surface (0-1 cm, with both primers) and sub-surface (5-10 cm, with 18S-V7 primer) sediments. The barcode database developed here with the 18S-V7 primer improved the identification of unique families, from 16 to 19 families, thereby strengthening the taxonomic assignment possible relative to pre-existing barcode reference sequences. Overall, this study demonstrates the feasibility of eDNA to resolve contributions of macroalgae in Arctic marine sediments, and enhances the fingerprinting resolution. We thereby document a novel pathway to answer key questions on the ecological role and fate of macroalgae in the Arctic.</p>
Figure 3 in Assessing the impacts of nonindigenous marine macroalgae: an update of current knowledge
Figure 3: Ecological case studies by bioregion (bioregion classification based on Kelleher et al. 1995) and algal type. Macroalgal groups: brown algae (Phaeophyceae), red algae (Rhodophyta), and green algae (Chlorophyta).
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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.