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55 results for “Canker disease”
Figure 5 from: Yang Q, Chen W-Y, Jiang N, Tian C-M (2019) Nectria-related fungi causing dieback and canker diseases in China, with Neothyronectria citri sp. nov. described. MycoKeys 56: 49-66. https://doi.org/10.3897/mycokeys.56.36079
Figure 5 Thyronectriapinicola (CFCC 53593) A–C habit of conidiomata on branches D longitudinal section of conidioma E–G conidiogenous cells with conidia H conidia I–J culture on PDA and conidiomata. Scale bars: 1 mm (B); 500 μm (C–D); 10 μm (E–H).
Figure 3 from: Yang Q, Chen W-Y, Jiang N, Tian C-M (2019) Nectria-related fungi causing dieback and canker diseases in China, with Neothyronectria citri sp. nov. described. MycoKeys 56: 49-66. https://doi.org/10.3897/mycokeys.56.36079
Figure 3 Nectriapseudotrichia (CFCC 53587) A–B habit of conidiomata on branches C–D conidiophores E–F conidia. Scale bars: 1 mm (A–B); 10 μm (C–F).
Figure 2 from: Yang Q, Chen W-Y, Jiang N, Tian C-M (2019) Nectria-related fungi causing dieback and canker diseases in China, with Neothyronectria citri sp. nov. described. MycoKeys 56: 49-66. https://doi.org/10.3897/mycokeys.56.36079
Figure 2 Nectriadematiosa (CFCC 53585) A–B habit of conidiomata on branches C transverse section of conidioma D longitudinal section of conidioma E conidiophores F–G conidia. Scale bars: 1 mm (A–C); 500 μm (D); 10 μm (E–G).
Figure 1 from: Yang Q, Chen W-Y, Jiang N, Tian C-M (2019) Nectria-related fungi causing dieback and canker diseases in China, with Neothyronectria citri sp. nov. described. MycoKeys 56: 49-66. https://doi.org/10.3897/mycokeys.56.36079
Figure 1 Maximum parsimony phylogenetic tree generated from analysis of a combined ITS, LSU, tef1 and tub2 sequence dataset for 59 taxa of Allantonectria, Nectria, Neothyronectria and Thyronectria. Emericellopsisglabra (CBS 125295), Hydropisphaerafungicola (CSB 122304), Nectriopsisexigua (CBS 126110) and Verrucostomafreycinetiae (MAFF 240100) as outgroup taxa. Values above the branches indicate maximum parsimony and maximum likelihood bootstrap (left, MP BP ≥ 50%; right, ML BP ≥ 50%). The branches with significant BIPP values (≥ 0.95) in the BI analysis are thickened. Scale bar = 80 nucleotide substitutions. Strains in current study are in blue. Ex-type strains are indicated in bold.
Figure 9 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 9 Morphology of Sheathosporacornuta from Cornuscontroversa. A–B Habit of pycnidia on branches C–D transverse section through pycnidium E longitudinal section through pycnidium F conidiophores, conidiogenous cells G conidia. Scale bars: 5 mm (A), 1 mm (B), 500 μm (C–E), 20 μm (F–G).
Figure 7 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 7 Morphology of Melanconiellabetulicola from Betulaalbosinensis. A–B habit of pseudostromata on branches C transverse section through perithecia D longitudinal section through perithecia E–F habit of acervuli on branches G transverse section through acervulus H longitudinal section through acervulus I asci and ascospores J–K ascus and ascospores L–O ascospores P conidiophores, conidiogenous cells and conidia Q conidia. Scale bars: 2 mm (A, E), 500 μm (B–D, F–H), 10 μm (J–K, P–Q), 5 μm (L–O).
Figure 6 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 6 Phylogram of Melanconiellaceae obtained from an MP analysis from a combined matrix of ITS, LSU, RPB2 and TEF1-α. MP and ML bootstrap support values above 50% are shown at the first and second position, respectively. Thickened branches represent posterior probabilities above 0.95 from BI. Scale bar = 80 changes. Type species are in bold. Strains obtained in the current study are in blue.
Figure 5 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 5 Phylogram of Melanconis (Melanconidaceae) obtained from an MP analysis of a combined matrix of ITS, LSU, RPB2 and TEF1-α. MP and ML bootstrap support values above 50% are shown at the first and second position, respectively. Thickened branches represent posterior probabilities above 0.95 from BI. Scale bar = 20 changes. Type species are in bold. Strains obtained in the current study are in blue.
Figure 4 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 4 Morphology of Juglanconisoblonga from Juglansregia. A–B habit of acervuli on branches C transverse section through acervulus D longitudinal section through perithecia E longitudinal section through acervulus F conidiophores, conidiogenous cells G conidia H asci and ascospores I ascospores. Scale bars: 10 mm (A), 500 μm (B–E), 20 μm (F–I).
Figure 3 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 3 Morphology of Juglanconisjuglandina from Juglansregia. A–B habit of acervuli on branches C transverse section through acervulus D longitudinal section through acervulus E–F conidiophores, conidiogenous cells and conidia. Scale bars: 1 mm (A–D), 20 μm (E–F).
Figure 2 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 2 Phylogram of Juglanconis (Juglanconidaceae) obtained from an MP analysis of a combined matrix of ITS, LSU, CAL and RPB2. MP and ML bootstrap support values above 50% are shown at the first and second position, respectively. Thickened branches represent posterior probabilities above 0.95 from BI. Scale bar = 20 changes. Type species are in bold. Strains obtained in the current study are in blue.
Figure 1 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 1 Phylogram of Diaporthales obtained from an MP analysis of a combined matrix of ITS, LSU, RPB2 and TEF1-α. MP and ML bootstrap support values above 50% are shown at the first and second position, respectively. Thickened branches represent posterior probabilities above 0.95 from BI. Scale bar = 200 changes. Type species are in bold. Strains obtained in the current study are in blue.
Figure 8 from: Fan X, Du Z, Bezerra JDP, Tian C (2018) Taxonomic circumscription of melanconis-like fungi causing canker disease in China. MycoKeys 42: 89-124. https://doi.org/10.3897/mycokeys.42.29634
Figure 8 Morphology of Melanconiellacorylina from Corylusmandshurica. A habit of acervuli on branches B–F process of development of acervulus G transverse section through acervulus H–I longitudinal section through acervulus J conidiophores K conidiogenous cells and conidia L–W conidia. Scale bars: 2 mm (A), 500 μm (B–I), 10 μm (J–K), 5 μm (L–W).
Data from: De novo genome assembly of Geosmithia morbida, the causal agent of thousand cankers disease
Open the record for dataset details and reuse information.
Transcriptomic de novo analysis of pitaya (Hylocereus polyrhizus) canker disease caused by Neoscytalidium dimidiatum
GEO Series GSE119976. Selenicereus monacanthus. 4 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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Allen Brain Atlas
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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.