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20 results for “Cercospora”
Cercospora Leaf Spot in Chili Pepper Leaves Image Dataset
<p>A custom dataset consisting of 1,738 preprocessed images of chili pepper leaves affected by Cercospora leaf spot for research purposes related to lesion detection using artificial intelligence algorithms.</p>
Whole-genome sequences of Cercospora beticola isolates from Germany and Italy.
<p>Sequences used in the manuscript <strong>"Large-scale analyses reveal the contribution of adaptive evolution in pathogenic and non-pathogenic fungal species"</strong></p>
FIGURE 4 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 4. Cercospora cyperina (CBS H-22291). A. Leaf spot; B. Close-up of leaf spot; C, D. Conidiophores and conidiogenous cells; E−H. Conidia; I. Colony on MEA.—Scale bars: C−D = 40 μm; E−H = 50 μm, and G applies to H.
FIGURE 2 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 2. Cercospora glycinicola (CBS H-22289). A. Leaf spot; B. Close-up of leaf spot; C, D. Conidiophores and conidiogenous cells; E−I. Conidia; J. Colony on MEA.—Scale bars: C−D = 40 μm; E−I = 50 μm.
FIGURE 1. The Bayesian 50 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 1. The Bayesian 50% majority rule consensus tree derived from the combined ITS/cmdA alignment. Bayesian posterior probabilities support values for the respective nodes are displayed in the tree. The scale bar indicates 0.01 expected changes per site and species are delimited by blocks of different colours. Strain accession numbers from Thailand and names of species containing Thai strains are printed in bold face. The tree was rooted to Septoria provencialis CPC 12226 (ITS GenBank DQ303096, cmdA GenBank JX143030).
FIGURE 3 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 3. Cercospora cyperacearum (CBS H-22290). A. Leaf spot; B. Close-up of leaf spot; C, D. Conidiophores and conidiogenous cells; E−G. Conidia; H. Colony on MEA.—Scale bars: C−G = 40 μm.
FIGURE 1 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 1. (Continued) The Bayesian 50% majority rule consensus tree derived from the combined ITS/cmdA alignment. Bayesian posterior probabilities support values for the respective nodes are displayed in the tree. The scale bar indicates 0.01 expected changes per site and species are delimited by blocks of different colours. Strain accession numbers from Thailand and names of species containing Thai strains are printed in bold face. The tree was rooted to Septoria provencialis CPC 12226 (ITS GenBank DQ303096, cmdA GenBank JX143030).
FIGURE 5 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 5. Cercospora musigena (CBS H-22292). A. Leaf spot; B, C. Conidiophores and conidiogenous cells; D−H. Conidia.—Scale bars: B−C = 50 μm; D−H = 30 μm.
FIGURE 6 in Taxonomy and phylogeny of Cercospora spp. from Northern Thailand
FIGURE 6. Cercospora sp. (CBS H-22293). A. Leaf spot; B. Close-up of leaf spot; C, D. Conidiophores and conidiogenous cells; E−H. Conidia; I = colony on MEA.—Scale bars: C−D = 40 μm; E−H = 50 μm, G applies to H.
FIGURE 2 in Is morphology in Cercospora a reliable reflection of generic affinity?
FIGURE 2. Consensus phylogram (50% majority rule) of 622 trees resulting from a Bayesian analysis of the combined 4-gene (ITS, TEF1-α, ACT and HIS) sequence alignment using MrBayes v. 3.2.2. The scale bar represents the average number of substitutions per site, and posterior probability values are shown at the nodes. Clades of different genera are indicated in coloured blocks and names of the genera are shown to the right of the block. The tree is rooted to Cladosporium herbarum (strain CBS 121621).
FIGURE 1 in Is morphology in Cercospora a reliable reflection of generic affinity?
FIGURE 1. Consensus phylogram (50% majority rule) of 512 trees resulting from a Bayesian analysis of the LSU sequence alignment using MrBayes v. 3.2.2. The scale bar represents the average number of substitutions per site, and posterior probability values are shown at the nodes. GenBank accession numbers are shown in brown text and bold accession numbers were generated in this study. Clades of different genera are indicated in coloured blocks and names of the genera are shown in purple text. The tree is rooted to Cladosporium herbarum (GenBank accession DQ678074).
FIGURE 4 in Is morphology in Cercospora a reliable reflection of generic affinity?
FIGURE 4. Neocercospora ammicola (CBS 136450) (in vitro). a. Colony on MEA. b–d. Conidiophores and conidiogenous cells. e. Terminal conidiophore on hypha. f. Conidiophore reduced to a conidiogenous cell. g–l. Solitary and catenate conidia. Scale bars = 10 μm.
FIGURE 3 in Is morphology in Cercospora a reliable reflection of generic affinity?
FIGURE 3. Neocercospora ammicola (CBS 136450) (in vivo). a. Leaf spots on Ammi majus. b–f. Fasciculate conidiophores reduced to conidiogenous cells. g–m. Solitary and catenate conidia. Scale bars = 10 μm.
Enhancing resistance to Cercospora leaf spot in mung bean (Vigna radiata L.) through Bradyrhizobium sp. DOA9 priming: Molecular insights and biocontrol potential
Open the record for dataset details and reuse information.
Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
GEO Series GSE137198. Zea mays. 6 samples. Type: Expression profiling by high throughput sequencing.
RNA sequencing of Cercospora zeina grown in vitro to annotate gene models
GEO Series GSE90705. Cercospora zeina. 7 samples. Type: Expression profiling by high throughput sequencing.
Analysis of the Cercospora zeina transciptome in the early, mid and late stages of gray leaf spot disease on maize
GEO Series GSE305815. Zea mays; Cercospora zeina. 12 samples. Type: Expression profiling by high throughput sequencing.
RNA-Seq analysis of maize lines resistant and susceptible to Cercospora zeina, causal organism of Grey leafspot disease
GEO Series GSE99005. Zea mays. 6 samples. Type: Expression profiling by high throughput sequencing.
Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
GEO Series GSE94442. Zea mays; Cercospora zeina. 6 samples. Type: Expression profiling by high throughput sequencing.
Microarrays of Maize Recombinant Inbred Lines inoculated with Cercospora zeina, which causes grey leaf spot (GLS) disease
GEO Series GSE76242. Zea mays. 50 samples. Type: Expression profiling by array.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.