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8 results for “plant-fungal interactions”
Fire-severity effects on plant-fungal interactions after a novel tundra wildfire disturbance: implications for arctic shrub and tree migration
Background-Vegetation change in high latitude tundra ecosystems is expected to accelerate due to increased wildfire activity. High-severity fires increase the availability of mineral soil seedbeds, which facilitates recruitment, yet fire also alters soil microbial composition, which could significantly impact seedling establishment. Results - We investigated the effects of fire severity on soil biota and associated effects on plant performance for two plant species predicted to expand into Arctic tundra. We inoculated seedlings in a growth chamber experiment with soils collected from the largest tundra fire recorded in the Arctic and used molecular tools to characterize root-associated fungal communities. Seedling biomass was significantly related to the composition of fungal inoculum. Biomass decreased as fire severity increased and the proportion of pathogenic fungi increased. Conclusions - Our results suggest that effects of fire severity on soil biota reduces seedling performance and thus we hypothesize that in certain ecological contexts fire-severity effects on plant-fungal interactions may dampen the expected increases in tree and shrub establishment after tundra fire.
Fig. 7. HPTLC chromatograms under white light after anisaldehyde-sulfuric acid derivatization. 1 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 7. HPTLC chromatograms under white light after anisaldehyde-sulfuric acid derivatization. 1 (A): blend of methanol extracts from all rock-rose (Cistus monspeliensis L.) ecotypes samples, 2: 8,15-labdanediol, 3: 8-hydroxylabdan-15-oic acid, 4: 18-methyl ester-clerodan-15-oic acid, 5: myricetin 3,7,4′,5′-tetramethyl ether, and 6: 8-hydroxylabdan-15-oic acid methyl ester. Chemical structures of the metabolites used for co-HPTLC. 8,15-labdanediol (1), 8-hydroxylabdan-15-oic acid (2), 8-hydroxylabdan-15-oic acid methyl ester (3), 18-oic acid methyl ester-clerodan-l5-oic acid (4) and myricetin 3,7,4′,5′-tetramethyl ether (5).
Fig. 6 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 6. HPTLC chromatograms of methanol extracts of ten ecotypes of Cistus monspeliensis L. Cardeu (Ca, 1), Mandas (Ma, 2), Seui (Se, 3), Su Dominariu (Su, 4), Foresta Fontanamela (Fo, 5), Gutturu Mannu (Gu, 6), Portoscuso (Po, 7), Paringianu (Pa, 8), Barbusi (Ba, 9), and Gennargentu (Ge, 10). A: visualized at 366 nm without derivatization, B: bioautography against Fusarium oxysporum.
Fig. 5 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 5. Orthogonal projection to latent structures (OPLS) analysis to correlated chemical profiles of rock-rose (Cistus monspeliensis L.) obtained by 1H NMR (A) and HPTLC (B) and their antifungal activity against Fusarium oxysporum. The antifungal activity are average values (n = 5) measured as inhibition halos (mm).
Fig. 4 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 4. The effect of geographical origin (north, south and central) and altitude on the chemical variation of rock-rose ecotypes (Cistus monspeliensis L.), collected at different regions of Sardinia, Italy. A: Orthogonal projection to latent structures discriminant analysis (OPLS-DA) of rock-rose ecotypes based on 1H NMR data and geographical origins (north, south and central) excluding the samples of Seui (Se) (n = 45). B: OPLS-DA of rock-rose ecotypes based on HPTLC data and geographical origins (North, South and Central) excluding the samples of Barbusi (Ba) (n = 45). C: OPLS analysis based on 1H NMR data and altitudes of the collected locations (expressed as meters above sea level) (n = 50). D: OPLS analysis based on 1H NMR data and altitudes of the collection locations (expressed as meters above sea level) (n = 50). The classes of geographical origins were grouped following Fig. 3: North (Ca, Gu, Po, Su), South (Ba, Ge, Ma, Pa), and Central (Fo) areas of sampling. Ca: Cardeu, Ma: Mandas, Se: Seui, Su: Su Dominnariu, Fo: Foresta fontanamela, Gu: Gutturu Mannu, Po: Portoscuso, Pa: Paringianu, Ba: Barbusi, Ge: Gennangertu.
Fig. 3 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 3. Map of the sampling area of rock-rose (Cistus monspeliensis L.) ecotypes located on Sardenia Island, Italy. The sampling areas are colored as follows: red (North), green (Central); blue (South). North:Cardeu (Ca), Gutturu mannu (Gu), Portoscuso (Po), Seui (Se) and Su Dominariu (Su), south: Barbusi (Ba), Gennargentu (Ge), Mandas (Ma), and Paringianu (Pa). Central area: Foresta Fontanamela (Fo). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 2. Average standard error variation for the buckets of 1 H NMR spectra from ten ecotypes of Cistus monspeliensis L.
Fig. 1 in Metabolic variation in Cistus monspeliensis L. ecotypes correlated to their plant-fungal interactions
Fig. 1. Basic chemical structures of labdane and clerodane, and 1H NMR spectra of the leaves of Cistus monspeliensis obtained from (A) Foresta fontanamela and (B) Gennangertu in the range of δ 0.7 - δ 1.5 (600 MHz, CH3OH-d4). a: H-18 of labdane at (δ 0.81, s), b: H-20 of labdane (δ 0.83, s), c: H-19 of labdane (δ 0.87, s), d: H-17 of a labdane with a hydroxyl group at C-8 (δ 1.10, s), e: H-16 of labdane at δ 0.94 (d, J = 6.8 Hz), f: H-17 of clerodane (δ 0.77, s), g: H-20 of clerodane (δ 0.80, s), h: H-16 of clerodane (δ 0.97, d, J = 6.7 Hz), i: H-19 of a clerodane (δ 1.11).
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OpenNeuro
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