Selective and efficient immobilization of cadmium in soil by layered double hydroxides intercalated with the mercaptosuccinic acid.

Cadmium (Cd) contamination in cropland poses a significant threat to the quality of agricultural products, but even though in-situ remediation has been extensively applied, non-selective immobilization remains an issue. In order to develop a material that specifically immobilizes Cd in soil, a layered double hydroxide, intercalated with mercaptosuccinic acid (MSA-CFA), was synthesized through co-precipitation. In this case, the MSA-CFA's maximum adsorption capacity was increased from the 513.8 mg·g-1 for unintercalated hydrotalcite CFA to 692.6 mg·g-1. Besides, MSA-CFA efficiently removed 99.25 % of Cd from soil water-extract solution and immobilized up to 70.03 % of bio-available Cd. However, interestingly, its immobilization effects on beneficial metal elements Fe, Mn and Zn were milder, being equivalent to 2/7, 5/7 and 1/2 that of lime, respectively. Moreover, XRD and XPS techniques revealed isomorphous substitution with calcium and sulfhydryl complexation during the Cd adsorption by MSA-CFA. Compared with CFA, the increased adsorption capacity of MSA-CFA for Cd was due to intercalated MSA acting as a new adsorption site, while the enhanced selectivity was contributed by sulfhydryl's affinity for Cd. Altogether, MSA-CFA showed great promise as a competitive and highly efficient candidate amendment in Cd-contaminated soil remediation.

Dauricine attenuates ovariectomized-induced bone loss and RANKL-induced osteoclastogenesis via inhibiting ROS-mediated NF-κB and NFATc1 activity.

BACKGROUND: Osteoclast plays an important role in maintaining the balance between bone anabolism and bone catabolism. The abnormality of osteoclast is closely related to osteolytic bone diseases such as osteoporosis, rheumatoid arthritis and tumor bone metastasis. PURPOSE: We aim to search for natural compound that may suppress osteoclast formation and function. STUDY DESIGN: In this study, we assessed the impact of Dauricine (Dau) on the formation and function of osteoclasts in vitro, as well as its potential in preventing bone loss in an ovariectomy mouse model in vivo. METHODS: Multiple in vitro experiments were carried out, including osteoclastogenesis, podosomal belt formation, bone resorption assay, RNA-sequencing, real-time quantitative PCR, ROS level detection, surface plasmon resonance assay, luciferase assay and western blot. To verify the effect in vivo, an ovariectomized mouse model (OVX model) was constructed, and bone parameters were measured using micro-CT and histology. Furthermore, metabolomics analysis was performed on blood serum samples from the OVX model. RESULTS: In vitro experiments demonstrated that Dau inhibits RANKL-induced osteoclastogenesis, podosomal belt formation, and bone resorption function. RNA-sequencing results revealed that Dau significantly suppresses genes related to osteoclast. Functional enrichment analysis indicated that Dau's inhibition of osteoclasts may be associated with NF-κB signaling pathway and reactive oxygen metabolism pathway. Molecular docking, surface plasmon resonance assay and western blot analysis further confirmed that Dau inhibits RANKL-induced osteoclastogenesis by modulating the ROS/NF-κB/NFATc1 pathway. Moreover, administration of Dau to OVX-induced mice validated its efficacy in treating bone loss disease. CONCLUSION: Dau prevents OVX-induced bone loss by inhibiting osteoclast activity and bone resorption, potentially offering a new approach for preventing and treating metabolic bone diseases such as osteoporosis. This study provides innovative insights into the inhibitory effects of Dau in an in vivo OVX model and elucidates the underlying mechanism.

Impact of iron and sulfur cycling on the bioavailability of cadmium and arsenic in co-contaminated paddy soil.

The biogeochemical cycling of iron (Fe) or sulfur (S) in paddy soil influences the cadmium (Cd) and arsenic (As) migration. However, the influence of coupled reduction effects and reaction precedence of Fe and S on the bioavailability of Cd and As is still not fully understood. This study aimed to reveal the influence of Fe and S reduction on soil Cd and As mobility under various pe + pH conditions and to elucidate the related mechanism in subtropical China. According to the findings, higher adsorption from Fe reduction caused high-crystalline goethite (pe + pH > 2.80) to become amorphous ferrihydrite, which in turn caused water-soluble Cd (62.0%) to first decrease. Cd was further decreased by 72.7% as a result of the transformation of SO42- to HS-/S2- via sulfate reduction and the formation of CdS and FeS. As release (an increase of 8.1 times) was consequently caused by the initial reduction and dissolution of iron oxide (pe + pH > 2.80). FeS had a lesser impact on the immobilization of As than sulfate-mediated As (V) reduction in the latter stages of the reduction process (pe + pH < 2.80). pe + pH values between 3 and 3.5 should be maintained to minimize the bioavailability of As and Cd in moderate to mildly polluted soil without adding iron oxides and sulfate amendments. The practical remediation of severely co-contaminated paddy soil can be effectively achieved by using Fe and S additions at different pe + pH conditions. This technique shows promise in reducing the bioavailability of Cd and As.

Antidepressant duloxetine hydrochloride protects against ovariectomy-induced bone loss in mice by inhibiting osteoclast differentiation.

BACKGROUND: Several studies have reported the association between osteoporosis and major depressive disorder (MDD) as well as the use of antidepressants. However, it remains to be elucidated whether these associations are related to exposure to antidepressants, a consequence of a disease process, or a combination of both. METHODS: This study investigates the independent effect of the antidepressant duloxetine hydrochloride (DH) on ovariectomy-induced bone loss in mice. One week after ovariectomy, the treated mice received DH. To explore the mechanism underlying the rescue of bone loss, bone marrow cells were isolated from mouse femurs and tibias, and macrophages extracted from them were induced to become osteoclasts in vitro while being treated with DH. Subsequently, the osteoclasts underwent Bulk RNA-Seq to reveal the involved signaling pathways. The results of the bioinformatic analysis were then validated through in vitro experiments. RESULTS: The in vivo experiments demonstrated that DH treatment compromised ovariectomy-induced bone loss after 7 weeks. The in vitro experiments suggested that DH treatment attenuated osteoclast differentiation via the MAPKs/NFATc1 signaling pathway. CONCLUSION: The findings from this study suggest that DH, instead of causing bone mass loss, may assist in alleviating postmenopausal osteoporosis. These results can serve as a reference for the clinical treatment of patients with perimenopausal or postmenopausal depression using antidepressants.

Effect of chlorpyrifos on freshwater microbial community and metabolic capacity of zebrafish.

Chlorpyrifos is a widely used organophosphorus insecticide because of its high efficiency and overall effectiveness, and it is commonly detected in aquatic ecosystems. However, at present, the impact of chlorpyrifos on the aquatic micro-ecological environment is still poorly understood. Here, we established aquatic microcosm systems treated with 0.2 and 2.0 µg/L chlorpyrifos, and employed omics biotechnology, including metagenomics and 16S rRNA gene sequencing, to investigate the effect of chlorpyrifos on the composition and functional potential of the aquatic and zebrafish intestinal microbiomes after 7 d and 14 d chlorpyrifos treatment. After 14 d chlorpyrifos treatment, the aquatic microbial community was adversely affected in terms of its composition, structure, and stability, while its diversity showed only a slight impact. Most functions, especially capacities for environmental information processing and metabolism, were destroyed by chlorpyrifos treatment for 14 d. We observed that chlorpyrifos increased the number of risky antibiotic resistance genes and aggravated the growth of human pathogens. Although no clear effects on the structure of the zebrafish intestinal microbial community were observed, chlorpyrifos treatment did alter the metabolic capacity of the zebrafish. Our study highlights the ecological risk of chlorpyrifos to the aquatic environment and provides a theoretical basis for the rational use of pesticides in agricultural production.

Controlling Factors and Predictive Models of Total Mercury and Methylmercury Accumulation in Rice (Oryza sativa L.) from Mercury-Contaminated Paddy Soils.

It is urgent to detect the major controlling factors and establish predictive models of mercury (Hg) accumulation in rice. A pot trial was conducted, exogenous Hg was added to 19 paddy soils at 4 concentration levels in this study. The major controlling factors of total Hg (THg) in brown rice were soil THg, pH and organic matter (OM) content, while those of methylmercury (MeHg) in brown rice were soil MeHg and OM. THg and MeHg in brown rice could be well predicted by soil THg, pH and clay content. The data from previous studies were collected to validate the predictive models of Hg in brown rice. The predicted values of Hg in brown rice were within the twofold prediction intervals of the observations, which demonstrated the predictive models in this study were reliable. The results could provide theoretical foundation for the risk assessment of Hg in paddy soils.

Kinetic characteristics of and critical stages for mercury accumulation in rice (Oryza sativa L.).

By studying the dynamic characteristics of and key growth stages for mercury (Hg) enrichment in rice, the Hg migration and translocation processes in this species can be better understood. In this study, a pot experiment was conducted, wherein two rice cultivars, Tianyouhuazhan (TYHZ, indica) and Zhendao 18 (ZD18, japonica), were selected and planted for analysing the Hg accumulation kinetic characteristics in rice plants. The plants were sampled at each growth stage, and the biomass and total Hg (THg) and methylmercury (MeHg) concentrations of each tissue were measured. The relative Hg contribution rates (CRs) in whole rice plants and rice grains were calculated, and the growth stage with the highest relative contribution was identified as the key growth stage for Hg accumulation. The results indicated that in rice, the MeHg translocation capability was stronger than the THg translocation capability. Significant differences in the kinetic characteristics of Hg accumulation were found between the two rice cultivars, and the TYHZ rice grains had a stronger Hg accumulation ability than the ZD18 rice grains. The key growth stages for THg accumulation in whole rice plants of both cultivars were the tillering and booting stages, while that for MeHg accumulation was the tillering stage. The key period for Hg accumulation in rice grains was the grain filling stage for both cultivars. The insights from this study could provide scientific guidance for the safe production of rice in Hg-contaminated soil.

[Availability Changes in Different Exogenous Selenium Fertilizers in Soil and Their Effects on Selenium Accumulation in Wheat].

In order to understand the differences in the uptake and accumulation of several common exogenous selenium fertilizers by crops, a wheat pot experiment was conducted to study the availability changes in different selenium fertilizers (potassium selenate, potassium selenite, EDTA-chelated selenium, selenium powder, fly ash, and selenium-enriched straw) in soil and their effects on wheat growth and selenium uptake and distribution. The results showed that the change in availability of different exogenous selenium types in soil was different. During the whole growth period of wheat, the soil available selenium proportion of selenate, selenite, and EDTA-chelated selenium treatment was significantly higher than that of the control (CK), respectively, but there was no significant difference between the other treatments and the CK treatment. In the early stage of wheat growth, the soil available selenium proportion of selenate, selenite, and selenium powder treatment decreased gradually and tended to be stable in the later growth stage of wheat; however, the soil available selenium proportion of other exogenous selenium treatments showed a dynamic change of decreasing in the early period and increasing in the late period. The available selenium content in soil significantly affected the selenium uptake by wheat, and there was a significant positive correlation between them. Selenate application significantly increased the grain and leaf biomass of wheat, but other selenium fertilizers had no significant effect on wheat growth. The accumulation capacity of different exogenous selenium fertilizers for wheat followed the order of selenate>selenite, EDTA-chelated selenium>selenium powder, fly ash, and selenium-enriched straw. There was no significant difference between the selenium powder, fly ash, and selenium-enriched straw treatments and the CK treatment. Selenium was more easily transferred to and accumulated in the stems and leaves of wheat after the application of selenate, whereas selenium was more easily transferred to and accumulated in grains after the application of selenite and EDTA-chelated selenium.

Transfer and distribution of antibiotic resistance genes in the soil-peanut system receiving manure for years.

Antibiotic resistance gene (ARG)-contaminated food from manure application is gaining widespread interest, but little is known about the distribution and uptake of ARGs in peanuts that are subjected to manure routinely. In this study, the ARG profile and bacterial community in soil and peanut plants from a 7-year manure-fertilized field were investigated using high-throughput qPCR and 16S rRNA gene sequencing. Manure application increased the abundance of ARGs in soil and peanuts by 59-72 and 4-10 fold, respectively. The abundance of ARGs from high to low was as follows: manure, shell-sphere soil, rhizosphere soil, bulk soil, stems, shells, needles, kernels, and roots. Source-tracker analyses were used to investigate the potential source of ARGs in peanut kernels, which revealed that the ARGs in peanut kernels may be primarily absorbed by the roots from the soil. The horizontal gene transfer (HGT) of ARGs was the primary factor in the spread of ARGs, and Proteobacteria were the primary agents of HGT between different parts of peanut plants. Additionally, norank_Chloroplast from the phylum Cyanobacteria was the most important contributor to the abundance of ARGs in peanut kernels. Overall, our findings fill a gap in our understanding of the distribution patterns of ARGs in peanut plants and the migratory pathways of ARGs from soil to peanut kernels.

Metagenomic binning analyses of pig manure composting reveal potential antibiotic-degrading bacteria and their risk of antibiotic resistance genes.

Antibiotic-degrading bacteria are commonly used to treat antibiotic contamination, but the antibiotic resistance genes (ARGs) they carry are often overlooked. This study used metagenomic assembly and binning analyses to explore potential antibiotic-degrading bacteria and their ARGs during pig manure composting. The result showed that 35 metagenome-assembled genomes (MAGs) mainly containing alkyl-aryl transferase and decarboxylase genes involved in the removal of antibiotics. Multidrug (124), ß-lactam (67), macrolide-lincosamide-streptogramin (MLS) (64), and tetracycline (43) were the central ARG types detected in the 35 MAGs. Furthermore, the risk of ARGs was evaluated using the arg_ranker framework, and 19 MAGs were found to contain intermediate-high-risk ARGs with human-associated-enrichment, gene transferability, and host pathogenicity. Bin 34 of the genus of Geofilum had the highest ARG risk. Bin 6, Bin 11 and Bin 14 of the genus of Limnochorda, Chelatococcus and Niabella, had a lower ARG risk and were considered as potential antibiotic-degrading bacteria.

Double-edged effects of elevating temperature on the aging of exogenous arsenic in flooded paddy soils.

Temperature variation can have a significant impact on arsenic (As) bioavailability in paddy soils. However, details regarding the transformation of exogenous As during the aging process in paddy soils at various temperatures remain unclear. This work investigated the effects of temperature on the As extractability and As species transformation of three paddy soils spiked with exogenous arsenate at 60 mg kg-1 under flooded aging and explored the related chemical and microbial mechanisms. The results showed that 0.05 M NH4H2PO4-extractable As decreased over time during flooded aging for 192 days, and it decreased by approximately one-third at 35 °C compared with 15 °C and 25 °C at the same aging time, indicating that higher temperatures facilitated the decrease in As extractability. As(V) reduction mainly occurred at 35 °C because the abundance and As(V)-reducing capacity of the predominant indigenous bacteria, the Bacillus sp strains, and the abundance of the arrA gene were significantly higher than those at 15 °C and 25 °C. The reduction of As(V) to As(III) and aging occurred simultaneously. The kinetic models were established, and the rate constants of the reduction and aging processes were obtained. Soil properties significantly affected the aging and reduction processes of extractable As(V). Our study indicated that elevating temperature had dual effects on the environmental risk of As in the flooded aging process. The previous definition of "aging" based on cationic metals needs to be updated according to the transformation characteristics of As species in flooded conditions. Our results addressed the necessity of impeding the reduction of As(V) in paddy soils under global warming.

Evaluation of phoxim toxicity on aquatic and zebrafish intestinal microbiota by metagenomics and 16S rRNA gene sequencing analysis.

Phoxim is one of the main organophosphorus pesticides used in agricultural production. However, little information is known about how it affects the aquatic microbial community and the intestinal microbiota of fish. Herein, we utilized shotgun metagenomics and 16S rRNA gene sequencing to reveal the aquatic eco-risk of phoxim. Seven days of phoxim exposure significantly changed the composition of aquatic microbial community, obliterated the interactions between microorganisms, and thus reduced the complexity and stability of the microbial community. During long-time exposure (i.e., 14 days), most of the ecological functions were restored due to the redundancy of the microbial community. However, phoxim exposure promoted the dissemination of elfamycin resistance gene. The zebrafish gut microbial community also recovered from a temporary ecological disorder of aquatic microbiota, but phoxim continually affected zebrafish growth and swimming behavior. Overall, our results demonstrated that phoxim exposure significantly changed the structure and function of the microbial community and displayed a negative impact on freshwater ecosystems in a short exposure time.

Machine learning predicts the impact of antibiotic properties on the composition and functioning of bacterial community in aquatic habitats.

In the past decades, hundreds of antibiotics have been isolated from microbial metabolites or have been artificially synthesized for protecting humans, animals and crops from microbial infections. Their everlasting usage results in impacts on the microbial community composition and causes well-known collateral damage to the functioning of microbial communities. Nevertheless, the impact of different antibiotic properties on aquatic microbial communities have so far only poorly been disentangled. Here we characterized the environmental risk of 50 main kinds of antibiotics from 9 classes at a concentration of 10 µg/L for aquatic bacterial communities via metadata analysis combined with machine learning. Metadata analysis showed that the alpha diversity of the bacterial community increased only after treatment with aminoglycoside and ß-lactam antibiotics, while its structure was changed by almost all tested antibiotics. The antibiotic treatment also disturbed the functions of the bacterial community, especially with regard to metabolic pathways, including amino acids, cofactors, vitamins, xenobiotics and carbohydrate metabolism. The critical characteristics (atom stereocenter count, number of hydrogen atoms in the antibiotic, and the adipose water coefficient) of antibiotics affecting the composition of the bacterial community in aquatic habitats were screened by machine learning. The key characteristics of antibiotics affecting the function bacterial communities were the number of hydrogen atoms, molecular weight and complexity. In summary, by developing machine learning models and by performing metadata analysis, this study provides the relationship between the properties of antibiotics and their adverse impacts on aquatic microbial communities from a macro perspective. The study also provides guidance for the rational design of antibiotics.

Metagenomic ecotoxicity assessment of trace difenoconazole on freshwater microbial community.

Difenoconazole, a typical triazole fungicide, inhibits the activity of cytochrome P450 enzyme in fungi, and is extensively used in protecting fruits, vegetables, and cereal crops. However, reports elucidating the effects of difenoconazole on aquatic microbial communities are limited. Our study showed that difenoconazole promoted microalgae growth at concentrations ranging from 0.1 to 5 µg/L, which was similar with its environmental residual concentrations. Metagenomic analysis revealed that the aquatic microbial structure could self-regulate to cope with difenoconazole-induced stress by accumulating bacteria exhibiting pollutant degrading abilities. In the short-term, several functional pathways related to xenobiotic biodegradation and analysis were upregulated to provide ability for aquatic microbial community to process xenobiotic stress. Moreover, most disturbed ecological functions were recovered due to the redundancy of microbial communities after prolonged exposure. Furthermore, the risks associated with the dissemination of antibiotic resistance genes were enhanced by difenoconazole in the short-term. Overall, our study contributes to a comprehensive understanding of the difenoconazole-induced ecological impacts and the behavior of aquatic microbial communities that are coping with xenobiotic stress.

Effects of ofloxacin on the structure and function of freshwater microbial communities.

Ofloxacin (OFL) is a broad-spectrum fluoroquinolone antibiotic frequently used in clinic for treating bacterial infections. The discharged OFL would inevitably enter into aquatic ecosystems, affecting the growth of non-target microorganisms, which may result in micro-ecosystem imbalance. To the best of our knowledge, researches in this area are rather sparse. The present study evaluated the response of photosynthetic microorganisms (cyanobacteria, eukaryotic algae) and aquatic microbial community to OFL in a microcosm. Results showed that ofloxacin presented an inhibitory effect on the growth Microcystis aeruginosa. Although 0.1 mg/L OFL has no significant impact on alpha diversity of the microbial communities, it obviously altered the structure and decreased the species interaction of prokaryotic community by reducing the capacities of nitrogen fixation, photosynthetic and metabolic capacity of the microbial community. This study pointed out that the residual OFL in water would disturb the balance of the aquatic micro-ecology, suggesting that more attentions should be given to the negative effects of antibiotics and other bioactive pollutants on aquatic environments.

Key microbial clusters and environmental factors affecting the removal of antibiotics in an engineered anaerobic digestion system.

To identify the key microbial clusters and influencing factors involved in antibiotic removal from engineered anaerobic digestion (AD) systems, the dynamic characteristics of antibiotics, physiochemical factors, microbial communities and functional genes were investigated by 16S rRNA and metagenome sequencing. The results showed that antibiotic removal occurred mainly in the first 21 days, and sulfonamides had the highest removal rate. The key microbial clusters related to the biodegradation of antibiotics consisted mainly of Firmicutes and Bacteroidetes. The key enzymes consisted of deaminases, peptidases, C-N ligases, decarboxylases and alkyl-aryl transferases. Structural equation modelling indicated that low concentrations of propionic acid promoted the biodegradation activities of key microbial clusters in the first 21 days, but their activities were inhibited by the accumulated propionic acid after 21 days. Thus, propionic acid should be regulated in engineered AD systems to prevent the adverse effect of acid inhibition on antibiotic-degrading bacteria.

Antibiotic degradation dominates the removal of antibiotic resistance genes during composting.

To identify the key hosts involved in horizontal gene transfer (HGT) and vertical gene transfer (VGT) of antibiotic resistance genes (ARGs) and to determine the extent to and ways in which environmental properties contribute to ARG removal, the changes in ARG profile and key hosts during biogas residue and pig manure composting were investigated using metagenomic sequencing coupled with network analysis. Composting significantly reduced the abundances of ARGs other than bacA. Seventy and 41 hosts from Firmicutes, Actinobacteria, Proteobacteria and Bacteroidetes were associated with HGT and VGT, respectively. The key environmental properties were determined using structural equation modelling. Antibiotics directly affected HGT and determined ARG removal. Temperature indirectly affected HGT, mainly by influencing the degradation of antibiotics. BacA was associated only with hosts involved in VGT, which may lead to its low removal rate. These findings specify the priority and pathway of antibiotics and temperature affecting ARG profile.

Leaf metabolic influence of glyphosate and nanotubes on the Arabidopsis thaliana phyllosphere.

Chemical exposure can indirectly affect leaf microbiota communities, but the mechanism driving this phenomenon remains largely unknown. Results revealed that the co-exposure of glyphosate and multi-carbon nanotubes (CNTs) caused a synergistic inhibitory effect on the growth and metabolism of Arabidopsis thaliana shoots. However, only a slight inhibitory effect was induced by nanotubes or glyphosate alone at the tested concentrations. Several intermediate metabolites of nitrogen metabolism and fatty acid synthesis pathways were upregulated under the combined treatment, which increased the amount of energy required to alleviate the disruption caused by the combined treatment. Additionally, compared with the two individual treatments, the glyphosate/nanotube combination treatment induced greater fluctuations in the phyllosphere bacterial community members with low abundance (relative abundance (RA) <1%) at both the family and genus levels, and among these bacteria some plant growth promotion and nutrient supplement related bacteria were markable increased. Strikingly, strong correlations between phyllosphere bacterial diversity and metabolites suggested a potential role of leaf metabolism, particularly nitrogen and carbohydrate metabolism, in restricting the range of leaf microbial taxa. These correlations between phyllosphere bacterial diversity and leaf metabolism will improve our understanding of plant-microbe interactions and the extent of their drivers of variation and the underlying causes of variability in bacterial community composition.

Estimation of the losses in potential concentrated solar thermal power electricity production due to air pollution in China.

The concentrated solar thermal power (CSP) industry is projected to expand rapidly in China in the next 30 years. However, anthropogenic aerosol emissions reduce direct radiation (Rdir) reaching the surface, resulting in the losses of potential CSP electricity production in China. In this study, we applied various models to estimate daily Rdir, and the results showed that the gradient boosting with categorical features support (CatBoost) model was superior to other models, and coefficient of determination (R), root mean square error (RMSE) and mean absolute error (MAE) were 0.96, 1.99 MJ m-2 day-1 and 1.92 MJ m-2 day-1, respectively. We used Rdir data set at 839 stations across China derived by CatBoost model to calculate losses of the potential CSP electricity production from aerosol emissions. The results showed that the potential CSP electricity production decreased by 12.9% (136 kWh) on average at provincial level during 1961-2015. It is plausible that air quality will continue to improve from now due to the success of previous air pollution control measurements and the commitment to the United Nations of "Carbon Neutrality". It was found that returning to direct radiation levels in 1960s could yield a 15.8% increase in potential CSP electricity production, equal to 28.4-79 TWh with the expected 2050 CSP installation capacities. The corresponding economic benefits could reach 17.1-56.9 billion RMB in 2050. The findings in this study will be beneficial for siting, designing and optimizing CSP systems in China.