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116 results for “endophytic fungi”
Arbuscular mycorrhizal fungi and dark septate endophytes root colonization in Upper Green Lakes Valley, 2007-2016
Arbuscular mycorrhizal fungi (AMF) and dark septate endophytes (DSE) are two fungal groups that colonize plant roots and can benefit plant growth, but little is known about their landscape distributions. We performed sequencing and microscopy on a variety of plants across a high-elevation landscape featuring plant density, snowpack, and nutrient gradients. Percent colonization by both AMF and DSE varied significantly among plant species, and DSE colonized forbs and grasses more than sedges. AMF were more abundant in roots at lower elevation areas with lower snowpack and lower phosphorus and nitrogen levels, suggesting increased hyphal recruitment by plants to aid in nutrient uptake. DSE colonization was highest in areas with less snowpack and higher inorganic nitrogen levels, suggesting an important role for these fungi in mineralizing organic nitrogen. Both of these groups of fungi are likely to be important for plant fitness and establishment in areas limited by phosphorus and nitrogen.
Dataset from the analysis of biological activity of endophytic strain Serratia quinivorans KP32, the expression of biocontrol-related genes and the activity of antioxidant enzymes in bacterial cells treated with pathogenic fungi filtrates
<p>This dataset contains the data from the analyses published in the article entitled "Genetic Determinants of Antagonistic Interactions and the Response of New Endophytic Strain <i>Serratia quinivorans</i> KP32 to Fungal Phytopathogens" in the International Journal of Molecular Sciences (https://doi.org/10.3390/ijms232415561). The data consist of results collected for studies on the antifungal activity of KP32 strain towards four fungal phytopathogens, results of primer efficiency determination and studies on the expression of genes potentially involved in biocontrol after treatment of KP32 strain with the fungal phytopathogens filtrates. Additionally, absorbances from activity tests for catalase (CAT) and superoxide dismutase (SOD) in the strain treated with fungal pathogens are included.</p>
Figure 4 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 4: Isolate UE-5 (Aspergillus terreus). (A) Surface of colony, on potato dextrose agar after 6 days culture at 28 °C. (B) Reverse of colony. (C) Mycelia, conidiophores and conidia after 5 days culture. (D) Conidiophore with conidia. (E) Phylogenetic tree inferred from internal transcribed spacer sequences using maximum likelihood method.
Figure 3 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 3: Isolates UE-3 (Curvularia sp., A–C) and UE-4 (Curvularia moringae, D–H). (A) Surface of colony, on potato dextrose agar (PDA) after 6 days culture at 28 °C. (B) Reverse of colony. (C) Mycelia and conidia after 7 days culture. (D) Surface of colony, on PDA after 12 days culture at 28 °C. (E) Reverse of colony. (F) Mycelia and conidia after 7 days culture. (G) Conidium. (H) Phylogenetic tree inferred from internal transcribed spacer sequences using maximum likelihood method.
Figure 6 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 6: Antimicrobial activity of the crude extracts obtained from marine endophytic fungi associated with Ulva sp. against five bacteria (Staphylococcus aureus, Bacillus megaterium, Escherichia coli, Salmonella typhi, Pseudomonas aeruginosa) and one fungus (Aspergillus flavus). Values are mean ± standard deviation, n = 3. Bars with different letters are significantly different according to Tukey's post hoc test at p = 0.05. Note: The solvent control (dichloromethane) showed no inhibition (0 mm). The strongest inhibitory effects were observed with the positive controls kanamycin (S1) and ketoconazole (S2).
Figure 2 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 2: Isolate UE-2 (Nigrospora magnoliae). (A) Surface of colony, on potato dextrose agar after 6 days culture at 28 °C. (B) Reverse of colony. (C) Mycelia and conidia after 21 days culture. (D) Conidiogenus cells with conidia. (E) Phylogenetic tree inferred from internal transcribed spacer sequences using maximum likelihood method.
Figure 5 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 5: Isolate UE-6 (Collariella sp.). (A) Surface of colony, on potato dextrose agar after 12 days culture at 28 °C. (B) Reverse of colony. (C) Terminal ascomatal hairs with ascospores after 45 days culture. (D) Phylogenetic tree inferred from internal transcribed spacer sequences using maximum likelihood method.
Figure 1 in Bioactivity and chemical screening of endophytic fungi associated with the seaweed Ulva sp. of the Bay of Bengal, Bangladesh
Figure 1: Isolate UE-1 (Chaetomium globosum). (A) Surface of colony, on potato dextrose agar after 6 days culture at 28 °C. (B) Reverse of colony. (C) Ascomata after 28 days culture. (D) Asci.(E) Ascus with ascospores. (F) Ascospores. (G) Phylogenetic tree inferred from internal transcribed spacer sequences using maximum likelihood method.
Figure 3 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 3. Variations (mean ± standard error) of aerial mass (A), root mass (B) and total seedling mass (C) of Copaifera oblongifolia as a function of treatments with inoculation of different species of endophytic fungi. Different letters on the bars indicate statistical variations between treatments (P <0.05) according contrast analysis
Figure 1 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 1. Variations (mean ± standard error) of the germination percentage (A) and the time required for germination (B) of Copaifera oblongifolia seeds as a function of treatments with inoculation of different species of endophytic fungi. Different letters on the bars indicate statistical variations between treatments (P <0.05) according contrast analysis.
Figure 4 in Filtrates from cultures of endophytic fungi isolated from leaves of Copaifera oblongifolia (Fabaceae) affect germination and seedling development differently
Figure 4. The relationship between aerial mass (A), root mass (B) and total seedling mass (C) with seed mass of Copaifera oblongifolia.
Figure 4 in Endophytic fungi in roots of native orchids of rupestrian grasslands (campos rupestres) in Serra do Cipó, Brazil
Figure 4. Phylogenetic inference of the endophytic fungal genus Serendipita generated by Bayesian analysis of ITS sequences. A posteriori probabilities are indicated on the nodes. Bold codes and respective NCBI access numbers for the isolates obtained from roots of the five native orchids (Cattleya brevipedunculata, Epidendrum saxatile, E. secundum, Grobya cipoensis and Pleurothallis teres) sampled in a rupestrian grasslands of Serra do Cipó, Brazil. Identification and accession number for NCBI and UNITE platform are provided to reference sequences.
Linked collectors and determiners for: Dataset of endophytic and forest fungi (IBBR-CNR-FABI-01).
Natural history specimen data linked to collectors and determiners held within, "Dataset of endophytic and forest fungi (IBBR-CNR-FABI-01)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/367d62ed-2a34-4512-bad1-d27b6eaf72b2">https://bionomia.net/dataset/367d62ed-2a34-4512-bad1-d27b6eaf72b2</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/367d62ed-2a34-4512-bad1-d27b6eaf72b2">https://gbif.org/dataset/367d62ed-2a34-4512-bad1-d27b6eaf72b2</a>. Formatted as a Frictionless Data package.
Echium vulgare inoculated with fungal endophytes and arbuscular mycorrhizal fungi: HPLC data
<p>Raw HPLC data acquired on samples of <em>Echium vulgare</em> inoculated with fungal endophytes and arbuscular mycorrhizal fungi. Data were acquired on an ECOM HPLC system and are readable through the Clarity software (DataApex, Czech Republic). An .xlsx file is included which contains the descriptions of different treatments, i.e. the names of fungal species used for inoculation of various sample groups. Root and leachate samples were run separately, leachate samples are marked with "L" at the end of the sample name; the samples not containing this label are root samples.</p>
Leaf resistance traits influence endophytic fungi colonization and community composition in a South American temperate rainforest
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Mycorrhizal fungi compromise production of endophytic alkaloids, increasing plant susceptibility to an aphid herbivore
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Dark septate endophytes and arbuscular mycorrhizal fungi (Paris-morphotype) affect the stable isotope composition of 'classically' non-mycorrhizal plants
<p>The vast majority of terrestrial plants exchange nutrients with fungal partners forming different mycorrhizal types. The minority of plants considered as non-mycorrhizal, however, are not necessarily free of any fungi, but are frequently colonized by elusive fungal endophytes, such as <i>dark septate endophytes</i> (<i>DSE</i>) or <i>fine root endophytes</i> (<i>FRE</i>). While a functional role of <i>FRE</i> in improvement of nutrient gain was recently elucidated, the function of <i>DSE</i> is still in discussion and was here addressed for 36 plant species belonging to the families Equisetaceae, Cypereaceae and Caryophyllaceae.</p> <p>Molecular and microscopic staining approaches were conducted to verify the presence of <i>DSE</i> in the investigated species. Stable isotope natural abundances of the elements carbon, nitrogen, hydrogen and oxygen and total nitrogen concentrations were analyzed for the respective species of the target plant families and accompanying mycorrhizal and non-mycorrhizal (Brassicaceae) plant species.</p> <p>Staining approaches confirmed the presence of <i>DSE</i> in all investigated species within the families Equisetaceae, Cyperaceae and Caryophyllaceae. A co-colonization with <i>Paris</i>-type arbuscular mycorrhiza (AM) was occasionally found by staining and molecular approaches in species of the Equisetaceae. Species of the Equisetaceae, Cyperaceae and Caryophyllaceae were significantly <sup>15</sup>N-enriched in comparison to accompanying plants. In addition, a significant <sup>13</sup>C and <sup>2</sup>H enrichment and increased total nitrogen concentrations were found for representatives of the Equisetaceae.</p> <p>The <sup>15</sup>N-enrichment found here for representatives of Equisetaceae, Cyperaceae and Caryophyllaceae provides evidence for a functional role of the ubiquitous <i>DSE</i> fungi. <i>DSE</i> fungi obviously provide access to <sup>15</sup>N-enriched soil organic compounds probably in exchange for organic carbon compounds from plant photosynthesis. As indicated by additional <sup>13</sup>C- and <sup>2</sup>H-enrichments, representatives of the Equisetaceae apparently gain simultaneously organic carbon compounds from their AM fungi of the <i>Paris</i>-morphotype. Thus, species of the Equisetaceae have to be considered as partially, or in case of the achlorophyllous fertile Equisetum arvense, as fully mycoheterotrophic at least in some stages of their life cycle.</p> <p>So far mostly underappreciated fungi classified as <i>DSE</i> are suggested to occupy an ecologically relevant role similar to mycorrhizae and the occurrence of simultaneous functions of <i>DSE</i> and AM fungi in Equisetaceae is proposed.</p>
FIGURE 5 in Two new endophytic fungi of Colletotrichum and Diaporthe isolated from Berchemia polyphylla var. leioclada in Guizhou Province, China
FIGURE 5. Phylogenetic tree based on RAxML analyses of a combined ITS, TUB2, CAL, HIS, TEF1-α dataset, including sequences of our strain and a selection of related Diaporthe spp., restricted according to the phylogenetic study of Supplementary Material (Figure S2). Diaporthe caulivora (CBS 127268) was used as the outgroup. The combined gene analysis included 13 strains with 2409 characters after aligned, including gaps (ITS: 560bp, TUB2: 526bp, CAL: 506bp, HIS3: 494bp, TEF1-α: 323bp). The RAxML analysis of the combined dataset yielded the best scoring tree with a final ML optimization likelihood value of -7651.550919. The matrix had 572 distinct alignment patterns, with 23.26% undetermined characters or gaps. Estimated base frequencies were as follows: A = 0.203920, C = 0.334775, G = 0.247441, T = 0.213864; substitution rates AC = 1.486536, AG = 3.694646, AT = 1.459400, CG = 1.231075, CT = 5.843934, GT = 1.000000; gamma distribution shape parameter α = 0.257986. Bootstrap support values for RAxML equal to or greater than 70% and Bayesian posterior probabilities equal to or greater than 0.90 are given at each node. The new isolate is shown in red and bold.
FIGURE 4 in Two new endophytic fungi of Colletotrichum and Diaporthe isolated from Berchemia polyphylla var. leioclada in Guizhou Province, China
FIGURE 4. Diaporthe berchemiae (ex-type culture, GMBCC 20000). a, b Front and reverse colony on MEA. c, d Conidiomata on PDA. e–g Conidiophores. h–k Conidiogenous cells and conidia. l–o Alpha conidia. p-s Beta conidia. Scale bars: e–g, i–k = 10 μm; h, l–s = 5 μm.
FIGURE 2 in Two new endophytic fungi of Colletotrichum and Diaporthe isolated from Berchemia polyphylla var. leioclada in Guizhou Province, China
FIGURE 2. Phylogenetic tree of Maximum Likelihood analyses of Colletotrichum gloeosporioides species complex and its closely related species (including sequences of our strain and a selection of related Colletotrichum spp.,), restricted according to the phylogenetic study of Supplementary Material (Figure S1). Colletotrichum hippeastri (CBS 125376) and C. boninense CBS 123755 were used as outgroup taxa. The tree was built using concatenated sequences of ITS, ACT, CHS-1, GADPH, and TUB2 datasets and the tree topology of the RAxML and Bayesian analyses are similar. The combined gene analysis included 86 strains with 2152 characters after aligned, including gaps (ITS: 593bp, ACT: 282bp, CHS-1: 299bp, GADPH: 277bp, and TUB2: 701bp). The RAxML analysis of the combined dataset yielded the best scoring tree with a final ML optimization likelihood value of -15857.131621. The matrix had 1198 distinct alignment patterns, with 23.12% undetermined characters or gaps. Estimated base frequencies were as follows: A = 0.229650, C = 0.299082, G = 0.241413, T = 0.229855; substitution rates AC = 1.009331, AG = 2.892663, AT = 1.227390, CG = 0.965860, CT = 4.527049, GT = 1.000000; gamma distribution shape parameter α = 0.449663. Bootstrap support values for RAxML equal to or greater than 70% and Bayesian posterior probabilities equal to or greater than 0.90 are given at each node. The new isolate is shown in red and bold.
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Allen Brain Atlas
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OpenNeuro
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