Genomic Features Predict Bacterial Life History Strategies in Soil, as Identified by Metagenomic Stable Isotope Probing

Bacteria catalyze the formation and destruction of soil organic matter, but the bacterial dynamics in soil that govern carbon (C) cycling are not well understood. Life history strategies explain the complex dynamics of bacterial populations and activities based on trade-offs in energy allocation to growth, resource acquisition, and survival. Such trade-offs influence the fate of soil C, but their genomic basis remains poorly characterized. We used multisubstrate metagenomic DNA stable isotope probing to link genomic features of bacteria to their C acquisition and growth dynamics. We identify several genomic features associated with patterns of bacterial C acquisition and growth, notably genomic investment in resource acquisition and regulatory flexibility. Moreover, we identify genomic trade-offs defined by numbers of transcription factors, membrane transporters, and secreted products, which match predictions from life history theory. We further show that genomic investment in resource acquisition and regulatory flexibility can predict bacterial ecological strategies in soil. IMPORTANCE Soil microbes are major players in the global carbon cycle, yet we still have little understanding of how the carbon cycle operates in soil communities. A major limitation is that carbon metabolism lacks discrete functional genes that define carbon transformations. Instead, carbon transformations are governed by anabolic processes associated with growth, resource acquisition, and survival. We use metagenomic stable isotope probing to link genome information to microbial growth and carbon assimilation dynamics as they occur in soil. From these data, we identify genomic traits that can predict bacterial ecological strategies which define bacterial interactions with soil carbon.

Adsorption and desorption of antiviral drugs (ritonavir and lopinavir) on sewage sludges as a potential environmental risk

The aim of this work was to evaluate the adsorption capacity and mechanism of two antiviral drugs AVDs (lopinavir (LOP) and ritonavir (RIT)) on three various sewage sludges (SSLs). The results showed that SSLs differed in the structure and chemical composition and LOP and RIT had a high affinity to the studied SSLs (K_d in ranges 2076-3449 L/kg). The adsorption capacities differed between SSLs and ranged 7.55-8.71 mg/g (RIT) and 8.10-8.64 mg/g (LOP). The Freundlich model provided a best fitting of adsorption isotherms of all AVDs-SSLs. The adsorption kinetics were best described by pseudo-second order kinetic model. The adsorption of LOP and RIT on SSLs was exothermic, spontaneous, and thermodynamically feasible. The sorption of LOP and RIT to SSLs was complex due to the diverse chemical composition of SSLs and the differences in the chemical structure of AVDs. Analysis of binary solution of both AVDs showed the competition effect between AVDs and a decrease in adsorption efficiency (3-17%) compared to single solutions. The amount of desorbed AVDs from all SSLs was low (less than 15%). The findings of the present work are significant in the prediction of fate and persistence of AVDs on SSLs in the context of their further transmission and possible environmental contamination.

Estimating sorption of monovalent acidic herbicides at different pH levels using a single sorption coefficient

BACKGROUND

Monovalent acidic pesticide sorption can be determined for any soil pH if the dissociation constant of the compound is known, and sorption coefficients are available for at least two different pH values, measured in a wide enough range to enable estimating both neutral and anionic form coefficients. Sorption estimates have also been made from a single sorption coefficient available, assuming a non-compound specific value of the anionic form sorption coefficient or considering a generic ratio between sorption coefficients of the two forms. A compound-specific procedure for adjustment of parameters of the equation for estimating sorption of monovalent acidic herbicides at different pH levels, from a single sorption coefficient, is proposed and evaluated.

RESULTS

The quality of fits was good for sorption of all three herbicides studied, especially for 2,4-D and flumetsulam at pH above 5, even for diverse soils and experimental procedures and conditions. The best fits resulted in the following ratios of theoretical maximum organic-carbon sorption coefficients for neutral and anionic forms (Kocn':Koca'): 440:1 for 2,4-D; 132:1 for flumetsulam; and 55:1 for sulfentrazone.

CONCLUSION

The ratios of theoretical maximum sorption coefficients for neutral and anionic forms (Kocn':Koca') are compound-specific, thus this procedure should also be applied to pH-sorption datasets for other acidic pesticides to provide the respective ratio between the theoretical maximum sorption coefficients, instead of using generic assigned values. More calibration research is recommended and validation of this approach is required to demonstrate applicability of the method. © 2020 Society of Chemical Industry.

Temperature Dependent Adsorption-Desorption Behaviour of Pendimethalin in Punjab Soils

This study shows the effect of soil type and temperature on the adsorption and desorption behaviour of pendimethalin using a batch equilibration technique. Adsorption kinetics followed pseudo-second-order-model (R² > 0.99). The shape of adsorption curve for studied soils was S-type at 30 and 40°C and L-type at 50°C. The isotherms were nonlinear and were well described by Freundlich equation. Adsorption capacity ranged from 1.4 to 2.2 μg^1 - 1/n g^-1 mL^1/n and the order of adsorption was: clay loam > sandy loam > loamy sand indicating strong affinity of pendimethalin towards organic matter and clay content. Irrespective of soil type, the adsorption of pendimethalin increased with increase in temperature suggesting endothermic process. Freundlich desorption coefficient was greater than adsorption in all soils at studied temperatures indicating hysteresis. Thermodynamic parameters revealed spontaneous adsorption process which becomes more favourable at high temperature. The adsorption of pendimethalin was dominated by surface adsorption at lower equilibrium concentration and partition at high concentrations.

Sorption and desorption of 17α-trenbolone and trendione on five soils

The metabolites 17α-trenbolone and 17α-estradiol are principal metabolites in cattle excreta following the administration of Synovex^® ONE, which contains trenbolone acetate and estradiol benzoate. As part of the environmental assessment of the use of Synovex ONE, data were generated to characterize the fate of 17α-trenbolone, and its metabolite trendione in the environment. Predictions of the fate and environmental concentrations of these hormones after land application require accurate estimates of the sorption of these compounds in soils. The sorption and desorption of 17α-trenbolone and trendione were measured at 5 nominal concentrations in 5 soils from different geologic settings using a batch equilibrium technique following guideline 106 of the Organisation for Economic Co-operation and Development. Both the sorption and desorption of 17α-trenbolone and trendione to soils were adequately described by the Freundlich sorption model and by linear partition coefficients. The mean sorption coefficients were 9.04 mL/g and 32.2 mL/g for 17α-trenbolone and trendione, respectively. The corresponding mean Freundlich sorption exponents were 0.88 and 0.98, respectively. Sorption of 17α-trenbolone and trendione was correlated principally with soil organic carbon. Average sorption coefficients normalized to soil organic carbon content (K_OC ) were 460 mL/g and 1804 mL/g for 17α-trenbolone and trendione, respectively. The mean desorption coefficients were 22.1 mL/g and 43.8 mL/g for 17α-trenbolone and trendione, respectively. Calculated hysteresis coefficients based on the difference in the area between sorption and desorption isotherms indicated that sorption equilibrium was not fully reversible and hysteresis of desorption isotherms occurred for both 17α-trenbolone and trendione. Environ Toxicol Chem 2017;36:613-620. © 2016 SETAC.

Sorption of the antiparasitic drug eprinomectin in three soils

Batch equilibrium studies were conducted to determine eprinomectin partitioning behavior in three Greek soils (agricultural, pastoral and riparian soil). An analytical method was developed to quantify eprinomectin in aqueous 0.01 M CaCl₂. Recovery was 95% and limits of detection and quantification were both 0.005 mgL⁻¹. An existing method for its quantification in soil was successfully tested in this study. Mass balance determinations showed that we accounted for 89-98% of the eprinomectin spiked in 5 g soil/25 mL 0.01 M CaCl₂. The concentration specific adsorption distribution coefficient (K(d)(ads)) ranged from 6.4 to 21.4 L kg⁻¹ while concentration specific desorption distribution coefficient (K(d)(des)) ranged from 23.2 to 124.6 L kg⁻¹. The Freundlich model adequately described adsorption and desorption with n values from 0.6 to 1.07. Hysteresis between adsorption and desorption was observed in two (agricultural and pastoral) soils. Moreover, eprinomectin binding to the clay mineral vermiculite and natural peat was tested. The drug binds to both materials. Hydroxyl groups and the nitrogen group present in eprinomectin are probably responsible for the binding to vermiculite. Coefficient K(d)(ads) significantly correlated with cation exchange capacity (CEC), Fe and Cu content of the soils when data for eprinomectin and data for ivermectin and abamectin were combined. These could be evidence that eprinomectin fate is related not only to organic matter (lipophilic binding) but also to clay content and other charged inorganic groups typically present in the soil environment.