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1,710 results for “medicago”
Medicago arabica (L.) Hudson (BR0000011966197)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000012446155)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000005138760)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000011965770)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000006892449)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000011966630)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000011965862)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Medicago arabica (L.) Hudson (BR0000011966999)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Fig. 2 in Characterization Of Latvian Alfalfa Medicago Sativa Genetic Resources
Fig. 2. Histograms of flow cytometric analysis for alfalfa leaves: (A) tetraploid plant of accession Skrīveru and (B) diploid plant of accession Dzelmes.
Datasets for "Intraspecific interactions in the annual legume Medicago minima are shaped by both genetic variation for competitive ability and reduced competition among kin"
<p>Datasets for “Intraspecific interactions in the annual legume <em>Medicago minima</em> are shaped by both genetic variation for competitive ability and reduced competition among kin”</p> <p>Two datasets are provided.</p> <p>root_behavior_experiment_for_ms.csv: provides data relative to a root behaviour experiment where <em>Medicago minima</em> genotypes grew either with a kin or a non kin. Direction of root growth, root length and biomass were measured.</p> <p>Medicago_minima_biomass_dataMerge.csv: provides data relative to a minicommunity experiment where <em>Medicago minima </em>genotypes were grown surrounded by three kin genotypes, or three non-kin genotypes (i.e. stranger to the central plant but identical to each other) or three stranger genotypes (stranger to the central plant and to each other). For this second experiment above-ground growth and biomass were monitored.</p> <p>Detailed information on the dataset variables are provided in the metadata file.</p> <p>Code for data wrangling and analyses is included in the manuscript as an appendix.</p>
Linked collectors and determiners for: Genus Medicago (Fabaceae) in CSBG Herbarium collections (NS, NSK).
Natural history specimen data linked to collectors and determiners held within, "Genus Medicago (Fabaceae) in CSBG Herbarium collections (NS, NSK)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/31bb628c-cc7f-423c-914e-746271fb5694">https://bionomia.net/dataset/31bb628c-cc7f-423c-914e-746271fb5694</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/31bb628c-cc7f-423c-914e-746271fb5694">https://gbif.org/dataset/31bb628c-cc7f-423c-914e-746271fb5694</a>. Formatted as a Frictionless Data package.
Raw Data: Breeding alfalfa (Medicago sativa L.) in mixture with grasses
<p>Meta information and full raw data that was used for publication "Breeding alfalfa (<em>Medicago sativa</em> L.) in mixture with grasses"</p> <p>Experiment conducted at Agroscope, Reckenholzstrasse 191, 8046 Zürich, Switzerland</p> <p>Author: Christoph Grieder</p> <p> </p>
A select-and-resequence approach reveals strain-specific effects of Medicago nodule-specific PLAT-domain genes
Open the record for dataset details and reuse information.
Aphid infestation differently affects the defences of nitrate-fed and nitrogenfixing Medicago truncatula and alters symbiotic nitrogen fixation
<p>Legumes can meet their nitrogen requirements through root nodule symbiosis, which could also trigger plant systemic resistance against pests. The pea aphid Acyrthosiphon pisum, a legume pest, can harbour different facultative symbionts (FS) influencing various traits of their hosts. It is, therefore, worth determining if and how the symbionts of the plant and the aphid modulate their interaction. We used different pea aphid lines without FS or with a single one (Hamiltonella defensa, Regiella insecticola, Serratia symbiotica) to infest Medicago truncatula plants inoculated with Sinorhizobium meliloti (symbiotic nitrogen fixation (SNF)) or supplemented with nitrate (non-inoculated (NI)). The growth of SNF and NI plants was reduced by aphid infestation, while aphid weight (but not survival) was lowered on SNF compared to NI plants. Aphids strongly affected the plant nitrogen fixation depending on their symbiotic status, suggesting indirect relationships between aphid- and plant-associated microbes. Finally, all aphid lines triggered expression of Pathogenesis-Related Protein 1 (PR1) and Proteinase Inhibitor (PI), respective marker for salicylic and jasmonic pathways, in SNF plants, compared to only PR1 in NI plants. We demonstrate that the plant symbiotic status influences plant–aphid interactions while that of the aphid can modulate the amplitude of the plant's defence response.</p>
A public mid-density genotyping platform for alfalfa (Medicago sativa L.)
<p>Small public breeding programs have many barriers to adopting technology, particularly creating, and using genetic marker panels for genomic-based decisions in selection. Here we report the creation of a DArTag panel of 3,000 loci distributed across the alfalfa genome for use in molecular breeding and genomic prediction. The creation of this marker panel brings cost-effective and rapid genotyping capabilities to public breeding programs. The open access provided by this platform will allow genetic data sets generated on the marker panel to be compared and joined across projects, institutions, and countries. This genotyping resource has the power to bring genotyping equity to breeders in alfalfa. This is the first installment of a series of papers on creating affordable public genotyping resources for underserved agricultural plant and animal species.</p>
Niche conservatism limits the distribution of Medicago in the tropics
<p>The increase in species number from poles to the equator is one of the most fundamental patterns in ecology. Although several hypotheses have been proposed, there is a lack of consensus on the mechanisms underlying this pattern. While most hypotheses provide plausible explanation for high tropical diversity of tropical clades, it is unclear if similar mechanisms drive the diversity of extra-tropical clades. Here, we investigated the environmental drivers influencing the diversity pattern of a Mediterranean plant genus <em>Medicago</em> and dissect their effects across continents and biomes. We compiled a comprehensive dataset on the distribution of all <em>Medicago</em> species and mapped their distribution at the spatial resolution of 100 × 100 km<sup>2</sup>. We used generalized linear models to quantify the relative effects of environmental factors on the richness patterns of <em>Medicago</em> and its two life forms. Next, using geographically weighted regression, we explored the variation in richness-environment relationship across latitude. We found that Quaternary climate change and environmental energy were important explanatory variables, and their effects were consistent at global, continental and biome scales. However, we found contrasting effect of environmental energy in temperate and tropical regions, with species richness increasing with energy in the temperate and decreasing in the tropics. We also found strong affinity of <em>Medicago</em> species to its ancestral Mediterranean climatic niche. Our results suggest that the spatial variation in <em>Medicago</em> richness patterns may be strongly influenced by heat tolerance as opposed to the tropical clades that depend upon cold tolerance. This dependency on heat tolerance can be attributed to strong niche conservatism exhibited by <em>Medicago</em> species. Our findings provide new insights into the richness-energy hypothesis and suggest that high environmental energy may not necessarily yield high species diversity but may also lower species diversity, especially of extra-tropical clades towards the tropics.</p>
Mining Proteomic Databases of a Model Plant Medicago truncatula for Mosaic Proteins and Other Unconventional Translation Products
<p><strong>How many different proteins can be produced from a single spliced transcript? Genome annotation projects do not consider the coding potential of reading frames other than that of the reference open reading frames (refORFs). Recently, alternative open reading frames (altORFs) and their translational products, alternative proteins (altProts), have been shown to carry out important functions in various organisms. Overlapping altORFs may be involved in one fundamental mechanism so far overlooked. A few years ago, it was proposed that altORFs may act as building blocks for chimeric (mosaic) polypeptides, which are produced via multiple ribosomal frameshifting events from a single mature transcript. We adopt terminology from that earlier discussion and call this mechanism mosaic translation. This way of extracting and combining genetic information may significantly increase proteome diversity. Thus, we hypothesize that this mechanism may have contributed to the flexibility and adaptability of organisms to a variety of environmental conditions. The idea of mosaic translation is a testable hypothesis, although its direct demonstration is technically very challenging. If confirmed, this concept will revolutionize modern genetics. In this project, we would like to follow a unique strategy for the detection of mosaic proteins in proteomic databases publicly available for a very important model plant <em>Medicago truncatula</em>. The proposed analysis will be based on our own preliminary data already generated in the course of an ongoing TÜBİTAK1002 project. Regardless of whether the evidence for mosaic translation is found in this study, this effort will help identify such proteins later when more proteomic data become available. Finally, our approach can reveal unconventional frameshifting products that derive from the omission of several nucleotides by ribosomes (for example, +2 to +16 frameshifts). Regardless of whether such frameshifted products are parts of mosaic proteins, the potential for their detection makes this project very novel, because frameshifts longer than one nucleotide in the forward direction have not been described so far.</strong></p>
Alfalfa (Medicago sativa) salt tolerance/mutualistic bacteria inoculation
<p>Alfalfa (<em>Medicago sativa</em>) is a ubiquitous forage legume crop, responsible for the nutrition of many of the world's livestock animals. Unfortunately, alfalfa suffers from insufficient levels of salinity tolerance in many semi-arid regions around the world, including western Canada. To attempt to find ways to mitigate salinity stress in alfalfa, this study combined conventional breeding techniques with inoculation by mutualistic soil bacteria. Three alfalfa generations sequentially selected for improved salt tolerance were inoculated with either highly salt-tolerant (<em>H. maura</em>), moderately-tolerant (<em>Ensifer meliloti</em>) bacteria, or a 60 kg/ha nitrogen amendment in either non- (0 dS/m), moderate-(8 dS/m), or highly (16 dS/m) saline soil in the greenhouse. Plants were assessed for success in saline conditions through root/shoot biomass measurements, shoot height, chlorophyll content, number of stems, and root and shoot osmoprotectant concentrations (proline, glycine betaine, and trehalose). Results showed that rhizobium was the most beneficial bacteria to alfalfa under moderately saline conditions, and that generation 2 appeared to be the most salt-adapted alfalfa population. Additionally, nitrogen amendments appeared to provide benefits to biomass and osmoprotectant production. The salt-tolerant bacteria <em>H. maura</em> failed to provide any benefits to alfalfa growth, suggesting that reported benefits from the previous studies may be genotype/location specific. The improved performance of generation 2 relative to generation 3 may suggest the onset of an inbreeding depression, to which alfalfa (being an outcrossing species) is susceptible. These findings suggest nitrogen may be an important nutrient for alfalfa under moderately salt-stressed conditions, and that intense selection may be less effective than moderate selection intensity for the improvement of salinity tolerance.</p>
Fig. 2 in Medicago Falcata L. In Estonia: Chromosomal And Morphologicalvariability, Distribution And Vulnerability Oftaxa
Fig. 2. Dendrogram of M. falcata (Ward's algorithm), measured characters
Data from: Annual and perennial Medicago show signatures of parallel adaptation to climate and soil in highly conserved genes
<p class="AbstractSummary">Human induced environmental change may require rapid adaptation of plant populations and crops, but the genomic basis of environmental adaptation remain poorly understood. We analyzed polymorphic loci from the perennial crop <i>Medicago sativa </i>(alfalfa or lucerne) and the annual legume model species <i>M. truncatula </i>to search for a common set of candidate genes that might contribute to adaptation to abiotic stress in both annual and perennial <i>Medicago</i> species.</p> <p class="AbstractSummary">We identified a set of candidate genes of environmental adaptation associated with environmental gradients along the distribution of the two <i>Medicago</i> species. Candidate genes for each species were detected in homologous genomic linkage blocks using genome-environment (GEA) and genome-phenotype association analyses.</p> <p>Hundreds of GEA candidate genes were species-specific, of these, 13.4% (<i>M. sativa</i>) and 24% (<i>M. truncatula</i>) were also significantly associated with phenotypic traits. A set of 168 GEA candidates were shared by both species, which was 25.4% more than expected by chance. When combined, they explained a high proportion of variance for certain phenotypic traits associated with adaptation. Genes with highly conserved functions dominated among the shared candidates and were enriched in Gene Ontology terms that have shown to play a central role in drought avoidance and tolerance mechanisms by means of cellular shape modifications and other functions associated with cell homeostasis.</p> <p class="AbstractSummary">Our results point to the existence of a molecular basis of adaptation to abiotic stress in <i>Medicago</i> determined by highly conserved genes and gene functions. We discuss these results in light of the recently proposed omnigenic model of complex traits.</p>
ScienceDex guides
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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.