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746 results for “Brassica”
Brassica elongata Ehrh. (BR0000010442616)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Brassica barrelieri (L.) Janka (BR0000015241009V)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Brassica elongata Ehrh. (BR0000010442999)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Brassica napus, rapa, oleracea pangenome assemblies and annotations
<p>All pangenome assemblies and annotations.</p> <p> </p> <p>Rapa_Oleracea_Napus_v1.4_Pangenomes.zip - the annotations in gff3 and fasta, once in the standard EVM naming format, once in the Brassica Consortium standard.</p> <p>Brassica_napus_rapa_oleracea_pangenome_assemblies.zip - the assemblies in fasta. The main references + unassigned pangenome contigs.</p>
[Data from:] Hypersensitive-like response in Brassica plants is specifically induced by molecules from egg-associated secretions of cabbage white butterflies
<p>Characterization at physiological and molecular level of a HR-like cell death induced by <em>Pieris </em>spp. butterfly eggs in <em>Brassica</em> plants.</p>
Data from: Rapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought
<p>While we know that climate change can potentially cause rapid phenotypic evolution, our understanding of the genetic basis and degree of genetic parallelism of rapid evolutionary responses to climate change is limited. In this study, we combined the resurrection approach with an evolve and resequence design to examine genome-wide evolutionary changes following drought. We exposed genetically similar replicate populations of the annual plant <em>Brassica</em> <em>rapa</em> derived from a field population in southern California to four generations of experimental drought or watered conditions in a greenhouse. Genome-wide sequencing of ancestral and descendant population pools identified hundreds of SNPs that showed evidence of rapidly evolving in response to drought. Several of these were in stress response genes, and two were identified in a prior study of drought response in this species. However, almost all genetic changes were unique among experimental populations, indicating that the evolutionary changes were largely non-parallel, despite the fact that genetically similar replicates of the same founder population had experienced controlled and consistent selection regimes. This non-parallelism of evolution at the genetic level is potentially because of polygenetic adaptation allowing for multiple different genetic routes to similar phenotypic outcomes. Our findings help to elucidate the relationship between rapid phenotypic and genomic evolution and shed light on the degree of parallelism and predictability of genomic evolution to environmental change.</p>
Analysis of gaps in rapeseed (Brassica napus L.) collections in European genebanks - supplementary data
<p>Species distribution modelling (or ecological niche modelling) was used to predict the effects of climate change on the future distribution of the wild relatives of Brassica napus L. in Europe and countries bordering the Mediterranean Sea. Modelling procedures followed the methods described by Aguirre-Gutierrez et al. 2017 (10.1111/ddi.12573) and van Treuren et al. 2017+2020 (10.1016/j.biocon.2017.10.003; 10.1016/j.gecco.2020.e01054).</p>
Data from: Rapid, parallel evolution of field mustard (Brassica rapa) under experimental drought
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Do flower-colonizing microbes influence floral evolution? A test with fast-cycling Brassica
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Differential beet leafhopper (<em>Neoalitarsus tenellus</em> (Hemiptera: Cicadellidae)) acceptance of allelopathic barley (<em>Hordeum vulgare</em> (Poales: Poaceae) and brown mustard (<em>Brassica juncea</em> (Brassicales: Brassicacae) cover crops
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The capacity for adaptation to climate warming in a naturalized annual plant (<i>Brassica rapa</i>)
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Data from: Rapid, nonparallel genomic evolution of Brassica rapa (field mustard) under experimental drought
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Data from: Rapid-cycling Brassica rapa evolves even earlier flowering under experimental drought
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Olfactory learning in Pieris brassicae butterflies is dependent on the intensity of a plant-derived oviposition cue
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Data from: A temporally intensive survey of bacterial communities of Brassica napus genotypes grown in three environments
Soil bacterial communities play vital roles in nutrient cycling and plant health. Breeding staple crops to have more robust microbiomes may be a sustainable way to improve crop yield without increasing inputs, leading to better global food security. We collected root and rhizosphere soil samples from sixteen genotypes of canola weekly for ten weeks at one site in 2016 and at three time points across three sites in 2017. We sequenced the 16S ribosomal RNA gene generating a total of 127.7 million reads. The data shows that rhizosphere communities are more diverse than corresponding root communities. Beta diversity analysis demonstrates both temporal and site-to-site differences in community structure. Using this dataset, these and other aspects of the canola microbiome characterization can be explored to advance our understanding of genotype by environment interactions This is a large temporally and spatially rich dataset, which will further our understanding of bacterial communities associated with canola. These data will be used in a variety of other projects, with the goal of enhancing agricultural sustainability.
Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa
<p>You find here the R scripts and data necessary to reproduce the results published in "Floral signals evolve in a predictable way under artificial and pollinator selection in Brassica rapa" by Zu et al. 2020 BMC Evolutionary Biology.</p> <p>The whole analysis is in the script "G-analysis.R". The associated data is loaded from the ".Rdata" and ".txt" files associated. The scripts "randG...R" are required to generate bootstrap replicates of G-matrix estimates. This is best done on an HPC cluster. To avoid having to run those randomizations, we provide the summary data we have generated from randomizations to run the full analysis.</p> <p>In Zu et al., we used data from an artificial selection and a pollinator (bumblebee, hoverfly) evolution experiment with fast cycling <em>Brassica rapa </em>plants to predict evolutionary changes of 12 floral volatiles and 4 morphological floral traits in response to selection. Using the observed selection gradients and the genetic variance-covariance matrix (G-matrix) of the traits, we showed that the observed responses of most floral traits including volatiles were predicted in the right direction in both artificial- and bumblebee-selection experiment. Genetic covariance had a mix of constraining and facilitating effects on evolutionary responses. We further revealed that G-matrices also evolved in the selection processes.</p> <p>We are depositing here the raw phenotypic data used to estimate the G-matrices in the artificial selection experiment along with the R scripts used to run the analyses.</p> <p>The phenotypic data of the pollinator experimental evolution experiment have been published elsewehere (Gervasi & Schiestl, 2017, Nature Communications 8:14691; doi:10.1038/ncomms14691).</p>
Top view images of kale (Brassica oleracea)
<p>Top view images of two <em>Brassica oleracea</em> varieties: <em>B. oleracea</em> var. <em>acephala</em> ‘Nero di Toscana’ - black palm kale (<strong>S1</strong>) and <em>B. oleracea</em> var. <em>sabellica</em> - curly kale (<strong>S2</strong>). Dataset contains 6400 images, 3200 per variety. Pictures were taken for 20 consecutive days (<strong>D</strong>). "b" after D marks the plants grown in the second stage (details below).</p> <p>Detailed information:</p> <p>The two varieties were grown in 8cm x 8cm pots inside the greenhouse of Wageningen University & Research. The pots were filled with a finely sieved peat compost. To ensure their germination, two seeds were seeded in each pot, a thin layer of compost being sieved on top of the seeds. The pots were then sprayed with water. Five days after seeding, a nutrient solution was applied. Thus, the substrate was saturated with ½ Hoagland solution to promote plants’ growth. Six days after seeding, the sprouts were transplanted to the pots where neither of the two seeds germinated. All additional sprouts were removed to establish the final growth stage of one plant per pot. The substrate was kept moist throughout the growing period by watering the pots daily or every two days, depending on the environmental conditions. These conditions were characterized by an average day temperature of 26°C.</p> <p>The kale plants were grown in two stages, each stage containing half the plants and lasting for 28 days: June 16th - July 14th and July 10th - August 7th. In total, a number of 160 plants were grown per variety, summing up to 320 plants. Eight days after seeding, the plants reached the necessary growth stage to begin the dataset acquisition phase. Thus, all plants were photographed individually for 20 consecutive days, resulting in a 6400 image dataset.</p> <p>The equipment used for taking the pictures consisted of a OnePlus 6T mobile camera and a phone holder. Top view pictures were taken by mounting the holder on a table, then stabilizing the phone on the holder at a 90° angle facing down. Furthermore, a centimeter ruler was placed in the bottom left corner of the picture frame.</p>
Cellular plasticity in response to suppression of storage proteins in the Brassica napus embryo
<p>The trade-off between protein and oil storage in oilseed crops has been tested here in oilseed rape (Brassica napus) by analyzing the effect of suppressing key genes encoding protein storage products (napin, cruciferin). The phenotypic outcomes were assessed using nuclear magnetic resonance and mass spectrometry imaging, microscopy, transcriptomics, proteomics, metabolomics, lipidomics, immunological assays as well as by flux balance analysis. Surprisingly, the profile of storage products was only moderately changed in RNAi transgenics. However, embryonic cells had undergone remarkable architectural rearrangements. The suppression of storage proteins led to the elaboration of membrane stacks enriched with oleosin (6-fold higher protein abundance) and novel ER morphology. Protein rebalancing, and amino acid metabolism were focal points of the metabolic adjustments to maintain embryonic carbon/nitrogen homeostasis. Flux balance analysis indicated a rather minor additional demand for cofactors (ATP, NADPH). The conclusion was that cellular plasticity in seeds protects against perturbations to its storage capabilities, and hence contributes materially to homeostasis. The study provides novel mechanistic insights into the intriguing link between lipid and protein storage, which have implications for biotechnological strategies directed at the improvement of oilseed crops.</p>
Hexaplex brassica (Lamarck, 1822)
Ejemplar del Área de Zoología Invertebrados del Museo Nacional de Historia Natural - Hexaplex brassica (Lamarck, 1822) Source: Objaverse 1.0 / Sketchfab
Root-knot nematode infection of Brassica rapa enhances the performance of a specialist root herbivore via systemically induced responses
<p>Herbivores sharing host plants are often temporally and spatially separated, limiting direct interactions between them. Nevertheless, they can reciprocally influence each other via systemically induced plant responses, as observed in numerous study systems. In contrast, examples of such plant-mediated interactions between belowground herbivores are scarce, but we postulated that they similarly occur given the large diversity of root-interacting soil organisms. To test this hypothesis, we analyzed the performance of <em>Delia radicum</em> larvae feeding on main roots of <em>Brassica rapa </em>plants whose fine roots were infected by the root-knot nematode <em>Meloidogyne incognita</em>. Simultaneously, we studied the effects of <em>M. incognita</em> on <em>D. radicum</em>-induced defense responses and the accumulation of primary metabolites in the main root. We observed that almost 1.5 times as many <em>D. radicum</em> adults emerged from nematode-infected plants, indicating a facilitation effect of <em>M. incognita</em> infection.<em> </em>Although we observed increases in the accumulation of proteins and two essential amino-acids, the strongest effect of nematode-infection was visible in the defense response to <em>D. radicum</em>. We observed a 1.5 times higher accumulation of the defense-related phytohormone JA-Ile in response to <em>D. radicum</em> on nematode-infected plants, coinciding with a 75% increase in indole glucosinolate concentrations. Contrastingly, concentrations of aliphatic glucosinolates, secondary metabolites negatively affecting <em>D. radicum</em>, were 10-25% lower in nematode<em>-</em>infected plants. We hypothesize that the attenuated aliphatic glucosinolate concentrations result from antagonistic interactions between biosynthetic pathways of both glucosinolate classes, which was reflected in the expression of key biosynthesis genes. Our results provide explicit evidence of plant-mediated interactions between belowground organisms via systemically induced responses in roots.</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.