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260 results for “Tuber”
APPENDIX 5 in Typification of the four most investigated and valuable truffles: Tuber aestivum Vittad., T. borchii Vittad., T. magnatum Picco and T. melanosporum Vittad.
APPENDIX 5.— Lectotype of Tuber nigrum Bull. (Herbier de la France8: t. 356,1788).
Efficacy and Safety of RAD001 in Patients Aged 18 and Over With Angiomyolipoma Associated With Either Tuberous Sclerosis Complex (TSC) or Sporadic Lymphangioleiomyomatosis (LAM)
ClinicalTrials.gov study NCT00790400. IPD Sharing: Not stated. Countries: 11. Publications: 5.
Efficacy and Safety of Everolimus (RAD001) in Patients of All Ages With Subependymal Giant Cell Astrocytoma Associated With Tuberous Sclerosis Complex (TSC)(EXIST-1)
ClinicalTrials.gov study NCT00789828. IPD Sharing: Not stated. Countries: 10. Publications: 9.
Everolimus (RAD001) Therapy for Epilepsy in Patients With Tuberous Sclerosis Complex (TSC)
ClinicalTrials.gov study NCT01070316. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Topical Sirolimus Ointment for Cutaneous Angiofibromas in Subjects With Tuberous Sclerosis Complex
ClinicalTrials.gov study NCT03363763. IPD Sharing: NO. Countries: 2. Publications: 4.
A Randomized Controlled Trial of Cannabidiol (GWP42003-P, CBD) for Seizures in Tuberous Sclerosis Complex (GWPCARE6)
ClinicalTrials.gov study NCT02544763. IPD Sharing: Not stated. Countries: 6. Publications: 4.
Everolimus (RAD001) Therapy of Giant Cell Astrocytoma in Patients With Tuberous Sclerosis Complex
ClinicalTrials.gov study NCT00411619. IPD Sharing: Not stated. Countries: 1. Publications: 6.
Regulating Together in Tuberous Sclerosis Complex
ClinicalTrials.gov study NCT06105736. IPD Sharing: YES. Countries: 1. Publications: 2.
An Open-label Extension Trial of Cannabidiol (GWP42003-P, CBD) for Seizures in Tuberous Sclerosis Complex (GWPCARE6)
ClinicalTrials.gov study NCT02544750. IPD Sharing: NO. Countries: 1. Publications: 2.
Dose-Ranging Efficacy and Safety Study of Topical Rapamycin Cream for Facial Angiofibroma Associated With Tuberous Sclerosis Complex
ClinicalTrials.gov study NCT03826628. IPD Sharing: NO. Countries: 9. Publications: 1.
Preventing Epilepsy Using Vigabatrin In Infants With Tuberous Sclerosis Complex
ClinicalTrials.gov study NCT02849457. IPD Sharing: YES. Countries: 1. Publications: 2.
Data from: Next generation lineage discovery: a case study of tuberous Claytonia L.
Open the record for dataset details and reuse information.
Data from: How the truffle got its mate: insights from genetic structure in spontaneous and planted Mediterranean populations of Tuber melanosporum
The life cycles and dispersal of edible fungi are still poorly known, thus limiting our understanding of their evolution and domestication. The prized Tuber melanosporum produces fruitbodies (fleshy organs where meiospores mature) gathered in natural, spontaneously inoculated forests or harvested in plantations of nursery-inoculated trees. Yet, how fruitbodies are formed remains unclear, thus limiting yields, and how current domestication attempts affect population genetic structure is overlooked. Fruitbodies result from mating between two haploid individuals: the maternal parent forms the flesh and the meiospores, while the paternal parent only contributes to the meiospores. We analyzed the genetic diversity of T. melanosporum comparatively in spontaneous forests versus plantations, using SSR polymorphism of 950 samples from South-East France. All populations displayed strong genetic isolation by distance at the metric scale, possibly due to animal dispersal, meiospore persistence in soil, and/or exclusion of unrelated individuals by vegetative incompatibility. High inbreeding was consistently found, suggesting that parents often develop from meiospores produced by the same fruitbody. Unlike maternal genotypes, paternal mycelia contributed to few fruitbodies each, did not persist over years, and were undetectable on tree mycorrhizae. Thus, we postulate that germlings from the soil spore bank act as paternal partners. Paternal genetic diversity and outbreeding were higher in plantations than in spontaneous truffle-grounds, perhaps because truffle growers disperse fruitbodies to maintain inoculation in plantations. However, planted and spontaneous populations were not genetically isolated, so that T. melanosporum illustrates an early step of domestication where genetic structure remains little affected.
Fig. 4 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 4. Transcript accumulation of genes associated with wound induced suberization. Transcript accumulation of known and putative genes encoding steps in suberin biosynthesis, from starch degradation to final assembly, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point. Numbered pathway steps correspond to numbers in the suberin roadmap (Supplemental Fig. S4). Fumarase (step 63) is included as a step in the TCA pathway, but is shown in grey because its sequence did not have a corresponding PGSC gene identification number, and therefore transcript abundance could not be estimated in this study.
Fig. 6 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 6. Transcript accumulation of wound-induced CASP and GDSL genes. Transcript accumulation of known and putative CASP and GDSL genes, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point.
Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 3. Network modules for suberin-associated metabolism genes. Expression profiles for 317 wound-induced and suberin-associated genes encompassing primary carbohydrate metabolism and the formation of suberin phenolic and aliphatic monomers were subjected to WGCNA. Genes belonging to carbohydrate (C), tricarboxylic acid cycle (TCA), shikimate pathway (S), phenolic metabolism (P), phenolic assembly (PA), fatty acid biosynthesis (FAB), fatty acid modification (FAM) and aliphatic assembly (AA) are colour-coded (see legend). (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 2. Gene set enrichment analysis (GSEA) of biological processes across differentially expressed genes (DEGs). Time point comparison panels represent a union parametric analysis of gene set enrichment (PAGE) of biological process (BP) categorized gene ontology (GO) terms. Nodes represent gene sets and their size represents a range from 5 to 464 genes, and edges show overlapping genes between sets, with width representing ranges from 5 to 149 genes. Blue sets are downregulated, red are up-regulated, and grey nodes denote terms that were not detected as significantly differentially regulated (i.e. enriched) at that time point comparison. Labels denote assigned node numbers that correspond to Table 1 with associated GO ID, GO term and regulation overview. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 1 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 1. Global overview of the wound-healing transcriptome. A. Principle component analysis (PCA) of RNA-seq libraries. Colours represent biological replicate libraries generated from the same time point (gene log2FPKM space with scaling). B. Differentially expressed genes (DEGs) across time point comparisons. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |log2 (fold change)| (| LFC|) ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. C. Venn diagram of DEGs significantly up- (red) or down-regulated (blue) over the wound-healing time course. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |LFC| ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 5. Transcript accumulation of genes associated with wound induced ABA biosynthesis and degradation. Transcript accumulation of known and putative genes encoding steps in ABA biosynthesis and degradation, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point. Numbered pathway steps correspond to numbers in the ABA metabolism pathway (Supplemental Fig. 6).
Fig. 7 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 7. RT-qPCR validation of select wound-induced genes. Gene expression values for 14 genes from RT-qPCR (ΔΔCq) and RNA-seq (CPM) analyses were normalized to 0 dpw values, then log2-transformed to generate log2 (foldchange) values. Pearson's correlation coefficients were calculated for log2 (foldchange) values from the two experimental procedures, with α = 0.05 (Supplemental Table 9). The 95% confidence interval was calculated and plotted as 95% confidence bands.
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