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192 results for “Trichoderma”
FIGURE 7 in Polyphasic taxonomy of Indian Trichoderma species
FIGURE 7. Trichoderma citrinoviride (A) Growth on PDA, (B) Pustules, (C) Reverse of the plate, (D,E) Conidiophore branching, (F,G) Phialide disposition, (H,I) Spores.
FIGURE 2 in Trichoderma dumbbelliforme sp. nov. an undescribed fungus of order Hypocreales from India
FIGURE 2. Trichoderma dumbbelliforme (A) Growth on PDA, (B) Reverse of the plate, (C,D) Pustule having clustered phialides and long sterile conidiophores with one or two phialides at the tip, (E,F) Nodulation on sterile conidiophores under SEM, (G) Conidiophore branching, (H, I) Phialide disposition, (J, K) Phialides under SEM, (L) Chlamydospores and hyphal swellings, (M) Conidia, (N,O) Conidia under SEM.
FIGURE 1 in Trichoderma dumbbelliforme sp. nov. an undescribed fungus of order Hypocreales from India
FIGURE 1. Phylogenetic tree based on maximum parsimony analysis with 1000 replications of the tef-1dataset.
All data support the published articel "Loop-optimization of Trichoderma reesei endoglucanases for balancing the activity–stability trade-off through cross-strategy between machine learning and the B-factor analysis"
<p><em>Trichoderma reesei</em> endoglucanases (EGs) have limited industrial applications due to its low thermostability and activity. Here, we aimed to improve the thermostability of EGs from<em> T.reesei</em> without reducing its activity counteracting the activity-stability trade-off. A cross-strategy combination of machine learning and B-factor analysis was used to predict beneficial amino acid substitution in EG loop optimization. Experimental validation showed single-site mutated EG concomitantly improved enzymatic activity and thermal properties by 17.21%–18.06% and 49.85%–62.90%, respectively, compared with wild-type EGs. Furthermore, the mechanism explained mutant variants had lower RMSD values and a more stable overall structure than the wild type. According to this study, EGs loop optimization is crucial for balancing the activity-stability trade-off, which may provide new insights into how loop region function interacts with enzymatic characteristics. Moreover, the cross-strategy between machine learning and B-factor analysis improved superior enzyme activity-stability performance, which integrated structure-dependent and sequence-dependent information.</p>
Fig. 3. X in (+)- and ()-trichodermatrione A: a pair of enantiomers with a cyclobutane-containing skeleton from the endophytic fungus Trichoderma sp. EFT2
Fig. 3. X-ray structures of (+)-1 (A) and ()-1 (B), and experimental and calculated ECD spectra of (+)-1 (C) and ()-1 (D).
Fig. 7 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 7. Effect of endophyte (s) and TV1 colonization alone or in co-inoculation on photosynthetic pigments. (a) chlorophyll a, (b) chlorophyll b, and (c) carotenoids. Standard deviation of mean (SD) of three biological replicates. Asterisks indicate a significant variance between control and treatment plants (*p <0.05, **p <0.01).
Fig. 5 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 5. Impact of RF1+TV1 combination on forskolin pathway genes analyzed by Real-time qPCR. Data are mean ±SD (n =3 replicates). The relative quantity (RQ) of each gene was estimated using the formula RQ =2-ΔΔCt. Expression level of gene (a) CfTPS1, (b) CfTPS2, (c) CfTPS3, (d) CfTPS4, (e) CfCYP76AH15 and (f) CfACT1- 8. Asterisks indicate significant variation between control and endophyte inoculations (**p <0.01).
Fig. 4 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 4. Schematic representation of forskolin biosynthetic pathway. Inoculation of CFRF1+TV1 combination differentially modulated the expression of different genes involved in forskolin biosynthesis. Intensity of grey to dark color with circles indicates expression level of specific gene in control (C) and RF1+TV1 (R + T) treated plants (i. e., grey color less expression and dark color more expression). The higher expression of CfTPS2 and CfACT1-8 followed by CfCY- P76AH15, CfTPS4, and CfTPS3.
Fig. 3 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 3. Forskolin relative yield in various treatments tested under field conditions were analyzed by TLC method. (a) TLC plate and (b) graphical view of forskolin relative yield in roots. F: forskolin standard, Con: control, T1: RF1, T2: SF1, T3: SF2, T4: TV1, T5: RF1 + TV1, T6: SF1 + TV1 and T7: SF2 + TV1. Standard deviation of mean (SD). Asterisks indicate a significant variation between control and treatment plants (*p <0.05, **p <0.01).
Fig. 2 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 2. Effect of endophytes and TV1 colonization on C. forskohlii. The beneficial effects of various treatments on plant height, branch number and total biomass. The graphical bar represents the effect of total of seven treatments, RF1, SF1, SF2, TV1, RF1+TV1, SF1+TV1, and SF2+TV2 and one control. (a) Plant height and (b) Number of branches. The fresh weights of shoots and roots (c) and dry weights of shoots and roots (d) were analyzed. The root length and number of tuberous roots per plant also recorded from 4 biological replicates. Error bars represents the standard deviation of mean (SD). Asterisks indicate a significant difference between control and endophyte treatments (*p <0.05, **p <0.01).
Fig. 1 in Molecular insights of fungal endophyte co-inoculation with Trichoderma viride for the augmentation of forskolin biosynthesis in Coleus forskohlii
Fig. 1. Scanning electron microscopic images of fungal endophytes, P. cornearis (SF1), M. pseudophaseolina (SF2), and F. redolens (RF1) grown on PDA. The magnified images of conidia and mycelia were captured. SF1 (A) and SF1 (B) are magnified images of chlamydospore (arrows) and scale = 10 μM (5000 ×) and 5 μM (10000 ×), respectively. SF2 (A) and SF2 (B) are magnified images of mycelia (arrows) and scale = 20 μM (2500 ×) and 5 μM (10000 ×), respectively. RF1 (A) and RF1 (B) are magnified images of chlamydospore (arrow) and scale = 5 μM (10000 ×) and 2 μM (20000 ×), respectively.
Culture performance, gene marker, and transcriptome data for fungal isolates (Chalara longipes, Laccaria bicolor, Serpula lacrymans, and Trichoderma harzianum)
Open the record for dataset details and reuse information.
Transcriptome and Metabolome Reprogramming in Tomato Plants by Trichoderma Harzianum strain T22 Primes and Enhances Defense Responses Against Aphids
<p><strong>Figure 1</strong></p> <p>Effect of <em>T. harzianum</em> T22 on aphid survival over time. Survival curves (percentage) of <em>M. euphorbiae</em> reared on the untreated water control and the <em>T. harzianum</em> T22 treated tomato plants are significantly different, <em>p</em> < 0.05 (LogRank test).</p> <p>For the aphid longevity assay, 10 plants for each CTRL or T22 treatment were infested with 5 newly born first instar nymphs of <em>M. euphorbiae</em>. The presence of aphids and of shed exuviae, as an indicator of molting occurrence, was daily monitored. Survival curves were compared by LogRank analysis.</p>
Supplementary material 3 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure S3
Supplementary material 1 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure S1
Figure 1 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure 1 Phylogenetic tree based on Maximum Likelihood analysis of a combined ITS, RPB2, and TEF1α sequence dataset. Trichoderma estonicum, Trichoderm parastinicum, Trichoderm ceramicum were chosen as the outgroup. Bootstrap Values higher than 70% from RAxML (BSML) (left) and Bayesian posterior probabilities greater than 0.95 (BYPP) (right) are given above the nodes. T indicates the type; ET indicates the ex-living type. Isolates obtained in this study are in red.
Supplementary material 2 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure S2
FIG. 4 in Biological activity of some Romanian and Turkish Trichoderma Pers. strains
FIG. 4. — Clear inhibition zone revealed by the Trichoderma spp. crude extract against some human pathogenic bacteria.
Figure 3 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure 3 Trichoderma vermifimicola (CGMCC 3.19694). Cultures at 25 °C after 3 days (A on PDA B on CMDC on SNA) D conidiation pustules on CMD after 10 days E conidiation pustules on SNA after 10 d F, H conidiophores G, J, K conidiophores and phialides I conidia. Scale bars: 25 µm (F, H); 10 µm (G, J–K).
Figure 4 from: Gu X, Wang R, Sun Q, Wu B, Sun J-Z (2020) Four new species of Trichoderma in the Harzianum clade from northern China. MycoKeys 73: 109-132. https://doi.org/10.3897/mycokeys.73.51424
Figure 4 Trichoderma xixiacum (CGMCC 3.19697). Cultures at 25 °C after 3 d (A on PDA B on CMDC on SNA) D conidiation pustules on CMD after 10 d E conidiation pustules on SNA after 10 d F, G, I conidiophores and phialides H conidia. Scale bars: 10 µm (F, G); 10 µm (H, I).
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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OpenNeuro
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