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135 results for “Microalgae”
FIG. 2 in Trebouxia maresiae sp. nov. (Trebouxiophyceae, Chlorophyta), a new lichenized species of microalga found in coastal environments
FIG. 2. — Habitat and morphology of Trebouxia maresiae Garrido-Benavent, Chiva & Barreno, sp. nov.: A, a thallus of the lichen Seirophora villosa (Ach.) FrÖdén from Es Trenc (Mallorca) with which this microalga associates; orange discs are apothecia produced by the lichen fungus to reproduce sexually; B-H, light microscopy photographs showing the gross morphology of vegetative cells and autosporangia; B, H, young and mature cells; C, central, crenulate chloroplast with a single pyrenoid; D, old cell with carotenoids in the cytoplasm; E-G, development of autosporangia and autospores; I-K, reconstruction of chloroplasts by LSCM; K, crenulate chloroplast with three pyrenoids (white arrowheads); L, reconstructed chloroplast of autospores within an autosporangium. Scale bars: 10 µm.
FIG. 1 in Trebouxia maresiae sp. nov. (Trebouxiophyceae, Chlorophyta), a new lichenized species of microalga found in coastal environments
FIG. 1. — Phylogram showing the placement of the new species in a subclade of Trebouxia Puymaly clade A sensu Muggia et al. (2020). The phylogeny was built with MrBayes based on a three-locus dataset (nrITS, 5.8S and rbcL). For reference, green- and orange-filled boxes on the right of each tip indicate the species code of each Trebouxia species following Muggia et al. (2020). To the right, the voucher or culture collection code, as well as the name of the species, if any, are provided. Posterior Probabilities (PP) and bootstrap support values (BS, RAxML-NG analysis) are represented on branches leading to nodes on the left and right, respectively. Branches in bold had a significant statistical support (PP ≥ 0.95; BS ≥ 70 %).
Dataset: The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective
<p><strong>Dataset of the article: </strong><em>"The implications of microalgae biofuel production for the heavy-duty transport sector under planetary boundary perspective"</em></p> <ul> <li>Selected results of the analysis are included in <strong>Microalgae biofuel results.zip</strong></li> </ul> <p><strong>Summary:</strong></p> <p>In this contribution, we study the extent to which 68 scenarios for microalgae biofuels could help the heavy-duty transport sector operate within planetary boundaries. The proposed scenarios are built considering a range of alternative configurations based on three types of fuel production processes (i.e., transesterification, hydrodeoxygenation and hydrothermal liquefaction), different carbon sources (such us a natural gas power plants and direct air capture), byproduct treatments, and two electricity mixes. Our results reveal that microalgae biofuels could significantly reduce the environmental and human health impacts of the business-as-usual (fossil-based) heavy-duty transport sector. Moreover, relative to standard biofuels that show large land-use requirements, we find that microalgae biofuels also decrease the damage on biosphere integrity substantially. Notably, pathways resorting to hydrodeoxygenation of microalgae oil and direct air capture and carbon storage could reduce the current impact induced globally on climate change by the heavy transport by 77%, while attaining six-fold reductions in biosphere integrity impacts, both relative to conventional biofuels. Simultaneously, microalgae-based biofuels can achieve impacts six times lower than conventional biofuels in biosphere integrity and 45% lower in human health.</p>
Figure 5 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 5. Influence of the polluted waters of the Sevastopol area to P. tricornutum (I), P. cordatum (II) and G. fissum (III): a) – inhibition effect, b) stimulated effect and c) absence of effect.
Figure 4 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 4. Dynamics of the cells abundance in the cultures of P. tricornutum (a), P. cordatum (b) and G. fissum (c) in control (1), on the water of the mussel farm area (2), Artillery Bay (3) and Sevastopol Bay (4) in October 2020.
Figure 1 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 1. Map of the seawater sampling stations location: 1 – mussel farm area, 2 – Artillery Bay, 3 – Sevastopol Bay.
Figure 3 in Response of marine microalgae Phaeodactylum tricornutum, Prorocentrum cordatum and Gyrodinium fissum to complex pollution of Sevastopol bays (Black Sea)
Figure 3. Dynamics of the cells abundance in the cultures of P. tricornutum (a), P. cordatum (b) and G. fissum (c) in control (1), on the water from the mussel farm area (2), Artillery Bay (3) and Sevastopol Bay (4) in September 2020.
Species-specific effects and the ecological role of Programmed cell Death in the microalgae Ankistrodesmus (Sphaeropleales, Selenastraceae)
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Acceptable loss: Fitness consequences of salinity-induced cell death in a halotolerant microalga
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Genome and annotation of microalgae Trebouxia lynnae
<p>This dataset includes:</p> <ul> <li>Genome sequence in fasta format of the symbiont lichen algae <em>Trebouxia lynnae</em></li> <li>Structural genome annotation in gff3 format</li> <li>Funcional genome annotation in tabular format</li> </ul> <p>It has been published in the paper "From spores to gametes: A sexual life cycle in a symbiotic Trebouxia microalga" in Algal Research. DOI: <a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.algal.2024.103744" target="_blank" rel="noreferrer noopener"><span><span>https://doi.org/10.1016/j.algal.2024.103744</span></span></a></p>
Water supply improvement and isolation of native microalgae study at Primar Hatchery
<p>Revise the estuarine water collection and treatment structure to improve the water quality of the Primar hatchery of <i>Crassostrea gasar </i>and produce isolated native microalgae feed for larvae of <i>C. gasar</i></p><p> </p><p>Based on previous projects and literature, a system to improve the catchment structure and treatment of estuarine water used at Primar's hatchery was developed. Further, samples of native microalgae were collected at a location close to the Primar hatchery. The microalgae were isolated and experimental production, subsequent tests, evaluations and adjustments were performed before pilot production of native microalgae for feeding of <i>C. gasar</i> was done. </p><p>The data was collected during 2020 and 2023 at Primar hatchery, Brazil. </p>
Cysteinolic acid is a widely distributed compatible solute of marine microalgae.
<p>This dataset contains raw file of MS and MS/MS spectra of the diatom Thalassiosira weissflogii (both xenic and axenic cultures) and its zwitterionic compatible solutes cysteinolic acid, ectoine, glycine betaine and homarine. </p>
Estudio de parametros de irradiacion en la dinamica de crecimiento y produccion de biomasa microalgas Chlorella sp
<p> </p> <p>Las microalgas son microorganismos de gran importancia ambiental, por su potencial biorremediador, e industrial por su amplia gama de compuestos bioactivos. Una de las especies más prometedoras son las microalgas del género Chlorella, las cuales están presenten en el departamento de Nariño específicamente en lago Guamuez (Colombia) (MINISTERIO DEL MEDIO AMBIENTE, 2002) . donde presentan una gran variedad de aplicaciones como alimentación animal y humana, biomedicina, biocombustibles y biofertilizantes. En Colombia si bien existen sistemas de cultivo industrializados de microalgas Chlorella sp., aún se presentan desafíos debido a la gran variabilidad de estos sistemas biológicos con respecto a sus condiciones de cultivo, las cuales determinan la composición fisicoquímica de la biomasa, lo que a su vez define una determinada aplicación (Alam et al., 2020) . Para favorecer al crecimiento se debe tener claridad sobre dichas condiciones relevantes como los parámetros asociados a la disponibilidad de luz, los cuales tienen una influencia importante sobre su metabolismo fotosintético (Blair, Kokabian, &amp; Gude, 2014) . Los modelos matemáticos de base fenomenológica son una alternativa que permite predecir el crecimiento microalgal bajo dichas condiciones específicas, y ser la base para plantear estrategias de control, automatización y escalado de los sistemas industriales (Darvehei et al., 2018) .</p>
A high-throughput assay for quantifying phenotypic traits of microalgae
<p>High-throughput methods for phenotyping microalgae are in demand across a variety of research and commercial purposes. Many microalgae can be readily cultivated in multi-well plates for experimental studies which can reduce overall costs, while measuring traits from low volume samples can reduce handling. Here we develop a high-throughput quantitative phenotypic assay (QPA) that can be used to phenotype microalgae grown in multi-well plates. The QPA integrates 10 low-volume, relatively high-throughput trait measurements (growth rate, cell size, granularity, chlorophyll a, neutral lipid content, silicification, reactive oxygen species accumulation, and photophysiology parameters: ETRmax, Ik, and alpha) into one workflow. We demonstrate the utility of the QPA on Thalassiosira spp., a cosmopolitan marine diatom, phenotyping six strains in a standard nutrient rich environment (f/2 media) using the full 10-trait assay. The multivariate phenotypes of strains can be simplified into two dimensions using principal component analysis, generating a trait-scape. We determine that traits show a consistent pattern when grown in small volume compared to more typical large volumes. The QPA can thus be used for quantifying traits across different growth environments without requiring exhaustive large-scale culturing experiments, which facilitates experiments on trait plasticity. We confirm that this assay can be used to phenotype newly isolated diatom strains within 4 weeks of isolation. The QPA described here is highly amenable to customisation for other traits or unicellular taxa and provides a framework for designing high-throughput experiments. This method will have applications in experimental evolution, modelling, and for commercial applications where screening of phytoplankton traits is of high importance.</p>
Plasticity across levels: relating epigenomic, transcriptomic, and phenotypic responses to osmotic stress in a halotolerant microalga
<p>Phenotypic plasticity, the ability of a given genotype to produce alternative phenotypes in response to its environment of development, is an important mechanism for coping with variable environments. While the mechanisms underlying phenotypic plasticity are diverse, their relative contributions need to be investigated quantitatively to better understand the evolvability of plasticity across biological levels. This requires relating plastic responses of the epigenome, transcriptome, and organismal phenotype, and investigating how they vary with the genotype. Here we carried out this approach for responses to osmotic stress in <em>Dunaliella salina</em>, a green microalga that is a model organism for salinity tolerance. We compared two strains that show markedly different demographic responses to osmotic stress, and showed that these phenotypic responses involve strain- and environment-specific variation in gene expression levels, but a relative low - albeit significant - effect of strain × environment interaction. We also found an important genotype effect on the genome-wide methylation pattern, but little contribution from environmental conditions to the latter. However, we did detect a significant marginal effect of epigenetic variation on gene expression, beyond the influence of genetic differences on epigenetic state, and we showed that hypomethylated regions are correlated with higher gene expression. Our results indicate that epigenetic mechanisms are either not involved in the rapid plastic response to environmental change in this species, or involve only few changes in <em>trans</em> that are sufficient to trigger concerted changes in the expression of many genes, and phenotypic responses by multiple traits.</p>
Multipurpose fluorescent nanocarriers: environmental behavior, toxicity and internalization on marine microalgae
<p>The present dataset contains environmental behavior data (DLS - dynamic light scattering; zeta potential), UV-vis and fluorescence (emission) data and ecotoxicological data, in particular, growth inhibition effects of umbelliferone (UMB), silica mesoporous nanocapsules (SiNC) and silica mesoporous nanocapsules loaded with umbelliferone (SiNC-UMB) towards five marine phytoplanctonic species (<em><span>Tetraselmis chuii</span></em><span>, </span><em><span>Nannochloropsis gaditana,</span></em><em><span> Isochrysis galbana,</span></em><span> </span><em><span>Phaeodactylum tricornutum, </span></em><span>and </span><em><span>Chaetoceros calcitrans</span></em>). </p>
Figure 1 in Microalgae in the diet of Eucypris mareotica (Crustacea, Ostracoda) in the hypersaline lake Chersonesskoye (Crimea)
Figure 1. The hypersaline Chersonesskoye lake in Crimea.
Figure 2 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 2. Total phenolic content (mg/g) extracted from algal isolates.
Figure 4 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 4. Chemical composition of fatty acid in algae obtained by HPLC.
Do we similarly assess diversity with microscopy and High Throughput Sequencing? Case of microalgae in lakes.
<p>These are the repository files of the paper "Do we similarly assess diversity with microscopy and High Throughput Sequencing? Case of microalgae in lakes" published in Organisms Diversity and Evolution</p> <p>In these files are given:</p> <p>- the sampling sites descrptions (coordinates, lake names)</p> <p>- species relative abundances obtained with light microscopy for each sampling site</p> <p>- OTUs amounts and relative abundances obtained High-Throughput Sequencing for each sampling site</p> <p>- code correspondence between lake codes and FastQ files codes</p> <p>- FastQ files of the sampling sites</p>
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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.