Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
8
datasets available to search
ShareScore release 0.9.0
Dataset results
8 results for “Photosymbiosis”
Data from: Comparative transcriptomics revealed parallel evolution and innovation of photosymbiosis molecular mechanisms in a marine bivalve
<p>Photosymbioses between heterotrophic hosts and autotrophic symbionts are evolutionarily prevalent and ecologically significant. However, molecular mechanisms behind such symbioses remain less elucidated, which hinders our understanding of their origin and adaptive evolution. This study compared gene expression patterns in a photosymbiotic bivalve (<em>Fragum sueziense</em>) and a closely related non-symbiotic species (<em>Trigoniocardia granifera</em>) under different light conditions to detect potential molecular pathways involved in mollusk photosymbiosis. We discovered that the presence of algal symbionts greatly impacted host gene expression in symbiont-containing tissues. We found that the host immune functions were suppressed under normal light compared to those in the dark. In addition, we found that cilia in the symbiont-containing tissues play important roles in symbiont regulation or photoreception. Interestingly, many potential photosymbiosis genes could not be annotated or do not exhibit orthologs in <em>T. granifera</em> transcriptomes, indicating unique molecular functions in photosymbiotic bivalves. Overall, we found both novel and known molecular mechanisms involved in animal-algal photosymbiosis within bivalves. Given that many of the molecular pathways are shared among distantly related host lineages, such as mollusks and cnidarians, it indicates that parallel and/or convergent evolution is instrumental in driving host-symbiont adaptations in diverse organisms.</p>
The giant clam photosymbiosis is a physically optimized photoconversion system for the most intense sunlight on Earth
<p>Giant clams are photosymbiotic with unicellular algae ("zooxanthellae") organized in the clam's mantle tissue. This tissue has an especially low albedo for a photosynthetic system, generally less than 10\% at all visible wavelengths. This efficient absorbance of light occurs in the ecological context of the high solar irradiances in intertidal habitats near the equator. At these light levels, photosynthetic systems typically adapt to absorb less light in order to prevent radiative damage to chloroplasts. Giant clams are therefore unusual. If the giant clam photosymbiosis proves to be simultaneously efficient at absorption and at phototransduction at these irradiances, they are potentially remarkably productive and an important source of bioinspiration. We showed previously that the clams organize algae into vertical pillars in the mantle tissue. The clams' iridocytes, or optically structured skin cells on the surface of the tissue, then function to evenly distribute incoming solar irradiance along the vertical faces of the pillars. The result is that zooxanthellae in the system absorb solar power at lower rates than that of incoming solar flux. The overall energetic performance of this phtooconversion scheme has, however, been difficult to characterize given the complex three-dimensional structure and the fact that it is coupled to a much more voluminous, respiring animal. Here we use a combination of photochemical characterization and new quantitative modeling of data from the literature to estimate the photochemical efficiency as a function of incoming irradiance of the initial electron-transfer events. Our approach is to consider the clam mantle tissue in isolation as a meta-material for photoconversion. To do this, we developed a method to directly measure the system's photochemical efficiency with spatial resolution of 10's of microns using optical microprobes threaded through the tissue. These experimental efficiency data then serve as ground-truthing for a subsequent reanalysis of photosynthesis-irradiance curves of clams taken from the literature. For this quantitative re-analysis, we incorporated the clam system's quantum efficiency as a function of irradiance per cell into a Monte Carlo model of radiative transfer among cells to find the tissue's area-specific oxygen evolution apart from any sinks. We found that cells located within the dense clam system had fluorescence transients (i.e., Kautsky curves), a direct measure of the efficiency of PS II) that were very slow and of low intensity, particularly for a dense system, consistent with photochemical efficiencies generally greater than 50\% and often greater than 90\%. When incorporated into a larger computational model, we found that mature Tridacnid clams can efficiently perform photoconversion of light energy into chemical energy at light intensities many times more intense than the maximum time-averaged environmental radiance, or even the solar constant. The intensities to which the clam is adapted, however, can be found in strong wave-lensed pulses of irradiance that are characteristic of the clams' habitats. This surprising result makes sense if the system has evolved to both avoid damage from and utilize the power in the intense pulses of light that result from wave-lensing. Our model predicts that by evolving to compensate for the intense pulses of solar energy produced by wave-lensing, the clam system can perform photochemical conversion of radiation at intensities many times greater than the solar constant at around 90\% quantum efficiency. This result in turn suggests a strategy for organic, engineered materials performing photoconversion under solar concentration.</p>
Data from: Comparative transcriptomics revealed parallel evolution and innovation of photosymbiosis molecular mechanisms in a marine bivalve
Open the record for dataset details and reuse information.
The giant clam photosymbiosis is a physically optimized photoconversion system for the most intense sunlight on Earth
Open the record for dataset details and reuse information.
Data from: Species selection and the macroevolution of coral coloniality and photosymbiosis
Differences in the relative diversification rates of species with variant traits is known as species selection. Species selection can produce a macroevolutionary change in the frequencies of traits by changing the relative number of species possessing each trait over time. But species selection is not the only process that can change the frequencies of traits, phyletic microevolution of traits within species and phylogenetic trait evolution among species, the tempo and mode of microevolution, can also change trait frequencies. Species selection, phylogenetic, and phyletic processes can all contribute to large-scale trends, reinforcing or canceling each other out. Even more complex interactions among macroevolutionary processes are possible when multiple covarying traits are involved. Here I present a multilevel macroevolutionary framework that is useful for understanding how macroevolutionary processes interact. It is useful for empirical studies using fossils, molecular phylogenies, or both. I illustrate the framework with the macroevolution of coloniality and photosymbiosis in scleractinian corals using a time-calibrated molecular phylogeny. I find that standing phylogenetic variation in coloniality and photosymbiosis deflects the direction of macroevolution from the vector of species selection. Variation in these traits constrains species selection and results in a 200 million-year macroevolutionary equilibrium.
Lineage-specific variation in the evolutionary stability of coral photosymbiosis.
<p><span class="pre-line-wrapping ng-binding">Over half of reef-building corals (Scleractinia) participate in a nutritional symbiosis, known as photosymbiosis, with photosynthetic dinoflagellates that ranges from obligate to facultative dependence. Fitting hidden-rates models allowing among-lineage variation in the rate of trait evolution to supertree and molecular phylogenies of Scleractinia, we reconstruct the history of photosymbiosis within Scleractinia and characterize its evolutionary stability. We find that most lineages of scleractinians are extraordinarily stable for the trait, evincing no instances of loss, but that in some clades photosymbiosis is more labile, thus providing a framework for comparative studies to further our mechanistic understanding of the factors that shape the evolutionary fates of scleractinian photosymbiosis.</span></p>
Data from: Species selection and the macroevolution of coral coloniality and photosymbiosis
Open the record for dataset details and reuse information.
Lineage-specific variation in the evolutionary stability of coral photosymbiosis.
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.