Search

Synthetic pesticides are widely applied in modern agriculture, where they are used against diseases, pests, and weeds to secure crop yield and quality. However, their intensive application has led to widespread contamination of the environment, including soils. Due to their inherent toxicity, they might pose a risk to soil health by causing harm to non-target organisms and disrupting ecosystem services in both agricultural and other exposed soils. Following the Swiss National Action Plan on the reduction of pesticide risks, Agroscope has conducted several soil monitoring studies that are briefly presented here. All of them resort to different multi-residue trace analytical approaches to simultaneously quantify up to about 150 modern pesticides by either accelerated solvent, or Quick, Easy, Cheap, Efficient, Rugged, Safe (QuEChERS) extraction, followed by separation and detection with liquid chromatography-triple quadrupole mass spectrometry. While partly still in progress, our investigations led to the following major findings this far: Multiple pesticides are commonly present in soils, with individual concentrations in agricultural soils often reaching up to a few tens of µg/kg. Pesticide occurrence and concentrations in agricultural soils primarily depend on land use, land use history and cultivated crops. Pesticides can prevail much longer than predicted by their half-lives, and were found in soils even decades after conversion from conventional to organic farming. Corresponding residual fractions can be in the order of a few percent of the originally applied amounts. We further found negative associations of pesticide residues with the abundance of beneficial soil life, underpinning their potential risk to the fertility of agricultural soils. Traces of pesticides are also detected in soils to which they were never applied, indicating contamination, e.g., via spray drift or atmospheric deposition. These results confirm the general notion of both scientists and le

Ascomycetes of the Phialocephala fortinii s.l.—Acephala applanata species complex (PAC) are frequent root endophytes of forest trees. Roots are colonized by multiple PAC genotypes that interact, and recent findings indicate that adverse effects on plant performance caused by pathogenic PAC strains are attenuated by non-pathogenic PAC strains. However, it was not known if this "self-control” works only in planta, or also ex planta, i.e., prior to infection during saprotrophic life of the PAC. Interactions between PAC strains were therefore studied in a plant-free system on malt extract agar. The mycelia of two pathogenic (A and T1) and two non-pathogenic (B and C) PAC strains were mixed pairwise 5:1, 1:1 and 1:5 (fresh weight ratios) and incubated at 15 and 25°C. Mycelial biomass of each strain was measured after 2 and 8 weeks. The combination of strains and the mixture ratio had a significant effect on strain biomass, whereas temperature influenced only the biomass of pathogenic strain T1. Biomass production of strain T1 was inhibited by all other strains, whereas biomass production of the other pathogenic strain A was significantly stimulated by the two non-pathogenic strains. This contrasts strongly with results from a previous experiment in planta using strains A, B and C, because the two non-pathogenic PAC strains successfully inhibited the pathogenic strain, probably by space occupation or the induction of host resistance. Therefore, it is impossible to predict the outcome of PAC-PAC interactions in planta based on the results gained from interactions ex planta.

Fungi of the Phialocephala fortinii sensu lato-Acephala applanata species complex (PAC) are ubiquitous endophytic colonizers of tree roots in which they form genotypically diverse communities. Measurement of the colonization density of each of the fungal colonizers is a prerequisite to study the ecology of these communities. Up to now, there is no method readily available for the quantification of PAC strains co-colonizing the same root. The new DNA quantification method presented here is based on the amplification of microsatellites by competitive polymerase chain reaction (PCR). The method proved to be suitable to detect and quantify at least two strains within one single sample by the addition of a known amount of mycelium of a reference strain before DNA extraction. The method exploits the correlation between the reference/target ratio of light emitted during microsatellite detection (peak ratio) and the reference/target ratio of mycelial weights to determine the biomass of the target strain. Hence, calibration curves were obtained by linear regression of the peak ratios on the weight ratios for different mixtures of reference and target strains. The slopes of the calibration curves and the coefficients of determination were close to 1, indicating that peak ratios are good predictors of weight ratios. Estimates of fungal biomass in mycelial test mixtures of known composition laid within the 95% prediction interval and deviated on average by 16% (maximally 50%) from the true biomass. On average, 3-6% of the root biomass of Norway spruce seedlings consisted of mycelial biomass of either one of two inoculated PAC strains. Biomass estimates obtained by real-time quantitative PCR were correlated with the estimates obtained by the microsatellite-based method, but variation between the two estimates from the same root was high in some samples. The microsatellite-based DNA quantification method described here is currently the best method for strainwise estimation of end

Interactions of belowground fungal communities with exotic and native plant species may be important drivers of plant community structure in invaded grasslands. However, field surveys linking plant community structure with belowground fungal communities are missing. We investigated whether a selected number of abundant and relatively rare plants, either native or exotic, from an old-field site associate with different fungal communities. We also assessed whether these plants showed different symbiotic relationships with soil biota through their roots. We characterized the plant community and collected roots to investigate fungal communities using 454 pyrosequencing and assessed arbuscular mycorrhizal colonization and enemy-induced lesions. Differences in fungal communities were considered based on the assessment of α- and β diversity depending on plant ‘abundance’ and ‘origin’. Plant abundance and origin determined the fungal community. Fungal richness was higher for native abundant as opposed to relatively rare native plant species. However, this was not observed for exotics of contrasting abundance. Regardless of their origin, β diversity was higher for rare than for abundant species. Abundant exotics in the community, which happen to be grasses, were the least mycorrhizal whereas rare natives were most susceptible to enemy attack. Our results suggest that compared with exotics, the relative abundance of remnant native plant species in our old-field site is still linked to the structure of belowground fungal communities. In contrast, exotic species may act as a disturbing agent contributing towards the homogenization of soil fungal communities, potentially changing feedback interactions.

Ascomycetes of the Phialocephala fortinii s.l.—Acephala applanata species complex (PAC) are frequent root endophytes of forest trees. Roots are colonized by multiple PAC genotypes that interact, and recent findings indicate that adverse effects on plant performance caused by pathogenic PAC strains are attenuated by non-pathogenic PAC strains. However, it was not known if this "self-control” works only in planta, or also ex planta, i.e., prior to infection during saprotrophic life of the PAC. Interactions between PAC strains were therefore studied in a plant-free system on malt extract agar. The mycelia of two pathogenic (A and T1) and two non-pathogenic (B and C) PAC strains were mixed pairwise 5:1, 1:1 and 1:5 (fresh weight ratios) and incubated at 15 and 25°C. Mycelial biomass of each strain was measured after 2 and 8 weeks. The combination of strains and the mixture ratio had a significant effect on strain biomass, whereas temperature influenced only the biomass of pathogenic strain T1. Biomass production of strain T1 was inhibited by all other strains, whereas biomass production of the other pathogenic strain A was significantly stimulated by the two non-pathogenic strains. This contrasts strongly with results from a previous experiment in planta using strains A, B and C, because the two non-pathogenic PAC strains successfully inhibited the pathogenic strain, probably by space occupation or the induction of host resistance. Therefore, it is impossible to predict the outcome of PAC-PAC interactions in planta based on the results gained from interactions ex planta.

Fungi of the Phialocephala fortinii sensu lato-Acephala applanata species complex (PAC) are ubiquitous endophytic colonizers of tree roots in which they form genotypically diverse communities. Measurement of the colonization density of each of the fungal colonizers is a prerequisite to study the ecology of these communities. Up to now, there is no method readily available for the quantification of PAC strains co-colonizing the same root. The new DNA quantification method presented here is based on the amplification of microsatellites by competitive polymerase chain reaction (PCR). The method proved to be suitable to detect and quantify at least two strains within one single sample by the addition of a known amount of mycelium of a reference strain before DNA extraction. The method exploits the correlation between the reference/target ratio of light emitted during microsatellite detection (peak ratio) and the reference/target ratio of mycelial weights to determine the biomass of the target strain. Hence, calibration curves were obtained by linear regression of the peak ratios on the weight ratios for different mixtures of reference and target strains. The slopes of the calibration curves and the coefficients of determination were close to 1, indicating that peak ratios are good predictors of weight ratios. Estimates of fungal biomass in mycelial test mixtures of known composition laid within the 95% prediction interval and deviated on average by 16% (maximally 50%) from the true biomass. On average, 3-6% of the root biomass of Norway spruce seedlings consisted of mycelial biomass of either one of two inoculated PAC strains. Biomass estimates obtained by real-time quantitative PCR were correlated with the estimates obtained by the microsatellite-based method, but variation between the two estimates from the same root was high in some samples. The microsatellite-based DNA quantification method described here is currently the best method for strainwise estimation of end