Physiological, biochemical, and genomic elucidation of the Ensifer adhaerens M8 strain with simultaneous arsenic oxidation and chromium reduction.

This study reports the simultaneous oxidation of As(III) and reduction of the Cr(VI) strain Ensifer adhaerens M8 screened from soils around abandoned gold tailings contaminated with highly complex metals (loids). Physiological, biochemical, and genomic techniques were used to explore the mechanism. The strain M8 could simultaneously oxidize 1 mM As(III) and reduce 45.3 % 0.1 mM Cr(VI) in 16 h, and the Cr(VI) reduction rate was increased by 5.8 % compared with the addition of Cr(VI) alone. Cellular debris was the main site of M8 arsenic oxidation. Chromium reduction was dominated by the reduction of extracellular hexavalent chromium (23.80-35.67 %). The genome of M8 included one chromosome and four plasmids, and a comparison of the genomes showed that M8 had two more plasmids than strains of the same genus, which may be related to strong environmental adaptations. M8 had 10 heavy metal resistance genes (HMRs), and plasmid D had a complete cluster of arsenic resistance-oxidation-transport genes (arsOHBCCR-aioSR-aioBA-cytCmoeA-phoBBU-PstBACS-phnCDEE). The genes involved in Cr(VI) detoxification include DNA repair (RecG, ruvABC, and UvrD), Cr(VI) transport (chrA, TonB, and CysAPTW) and Cr(VI) reduction. In summary, this study provides a molecular basis for As (III) and Cr (VI) remediation.

Municipal solid waste, an overlooked route of transmission for the severe acute respiratory syndrome coronavirus 2: a review.

Municipal solid waste could potentially transmit human pathogens during the collection, transport, handling, and disposal of waste. Workers and residents living in the vicinity of municipal solid waste collection or disposal sites are particularly susceptible, especially unprotected workers and waste pickers. Recent evidence suggests that municipal solid waste-mediated transmission can spread the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to humans. Such risks, however, have received little attention from public health authorities so far and may present an under-investigated transmission route for SARS-CoV-2 and other infectious agents during pandemics. In this review, we provide a retrospective analysis of the challenges, practices, and policies on municipal solid waste management during the current pandemic, and scrutinize the recent case reports on the municipal solid waste-mediated transmission of the coronavirus disease 2019 (COVID-19). We found abrupt changes in quantity and composition of municipal solid wastes during the COVID-19. We detail pathways of exposure to SARS-CoV-2 and other pathogens carried on municipal solid wastes. We disclose evidence of pathogenic transmission by municipal solid waste to humans and animals. Assessments of current policies, gaps, and voluntary actions taken on municipal solid waste handling and disposal in the current pandemic are presented. We propose risk mitigation strategies and research priorities to alleviate the risk for humans and vectors exposed to municipal solid wastes.

Microbial community succession in soils under long-term heavy metal stress from community diversity-structure to KEGG function pathways.

Currently, understanding the structure and function of the microbial community is the key step in artificially constructing microbial communities to control soil heavy metal pollution. Abundant/rare microbial communities play different roles in different levels of concentrations. However, the correlation between heavy metals and rare/abundant subgroups is poorly understood. In this study, we used a metagenomics approach to comprehensively investigate the evolutionary changes in microbial diversity, structure, and function under different heavy metal concentration stress in soils surrounding gold tailings. The results show that the main pollutants were Pb, As, and Zn. Indigenous microorganisms have different responses to heavy metal concentrations. Bacteria are the main components of indigenous microorganisms, mainly including Actinobacteria, Proteobacteria, Chloroflexi, and Acidobacteria. With the increase of heavy metal pollution, the relative abundance of Proteobacteria increased, and that of Actinobacteria decreased. Archaea was significantly inhibited by heavy metal stress and was more sensitive to heavy metal concentration. The response of fungi to heavy metal concentration was not obvious. The results of KEGG pathways showed that carbon fixation was inhibited with increasing heavy metal concentrations, while nitrogen metabolism was in contrast. Abundant subcommunity had a greater correlation mainly with metal resistance mechanisms, and rare subcommunity plays a key role for soil nutrient cycling such as N, S cycling in soils contaminated. Overall, this study provides a comprehensive analysis of the effects of heavy metal stress at different concentrations on microorganisms in farmland around gold tailings and reveals the relationship between heavy metals on KEGG pathways.

Simultaneous elimination of antibiotics and antibiotics resistance genes in nitritation of source-separated urine.

Antibiotics in human urine could accelerate dissemination of antibiotics resistance genes (ARGs), posing potential threat to sewage. The nitritation of source-separated urine was a critical step to realize the urine resourcelization and nitrogen stabilization. However, the synergic control on antibiotics and ARGs during urine nitritation was unrevealed. This study investigated the removal profiles of five typical antibiotics and the shifts of microbial community and ARGs during stable nitritation. The result showed that sulfamethoxazole and roxithromycin were effectively eliminated with high removal efficiency of (95 ± 5) % and (90 ± 10) %, followed by enrofloxacin with removal efficiency of (60 ± 5) %, whereas trimethoprim and chloramphenicol showed low removal efficiency of less than 40 %. Ammonia oxidation bacteria and heterotrophic bacteria equally contributed to elimination of sulfamethoxazole with a high biodegradation rate of 0.1534 L/gVSS·h, while sorption and biodegradation jointly promoted other antibiotics removal. The total relative abundance of top 25 bacteria genera was decreased by 10 %. The total relative abundance of top 30 ARGs was decreased by more than 20 %, which was corresponding to the variation of bacterial community. The findings in this research would get a deeper insight into the eliminating antibiotics and controlling ARGs dissemination during nitritation of source-separated urine.

Rapid dynamic quantification of sulfide generation flux in spatially heterogeneous sediments of gravity sewers.

Compared with anaerobic pressure sewers, gravity sewers have much more complex operational conditions, such as anaerobic/aerobic spatial variations along variable structures of the pipe network. This greatly complicates the prediction of sulfide generation from spatially heterogeneous sewer sediments. This study proposes a novel quantitative approach for rapidly estimating the sulfide generation flux by understanding the sulfidogenic conversion under complex sewer conditions. Significant anaerobic/aerobic spatial variations were the most critical factor affecting the sulfide production in residential gravity sewers. The dynamic aeration-related process stimulated the growth of sulfide-oxidizing bacteria (SOB) in the surface zone, while the sulfidogenic and methanogenic zone moved into deeper layers. A detailed mechanism model incorporating dynamic alternative anaerobic/aerobic transformation was developed to predict apparent sulfide production, as well as the microscale spatial profiles of chemicals and microbial communities in sediments. The model was evaluated to establish a rapid quantitative approach that only depended on a few key parameters (e.g., flow velocity, pipe diameter, slope, mean hydraulic depth and sulfate concentration), which can provide an important basis for estimating different sulfide generation fluxes under various sewer factors. The identification of sulfide generation hotspots will greatly help determine how to economically control sulfide generation by chemical dosing or pipe structural modification.

K-strategy species plays a pivotal role in the natural attenuation of petroleum hydrocarbon pollution in aquifers.

The natural attenuation of petroleum hydrocarbons is inseparable from the action of microorganisms, while the degradation methods and ecological strategies of microorganisms in petroleum-contaminated aquifers are still under debate. In the present study, 16 S rRNA sequencing and quantitative real-time polymerase chain reaction were used to assess the potential microbial degradation of petroleum hydrocarbons, and the ecological strategy of microorganisms under petroleum stress was analyzed through a co-occurrence network. The results showed that the microbial community in sediments exhibit higher efficiency and stability and stronger ecological function than that in groundwater. Keystone species coordinated with the community to execute ecosystem processes and tended to choose a K-strategy to survive, with the aquifer sediment being the main site of petroleum hydrocarbon degradation. Under natural conditions, the presence of petroleum hydrocarbons at concentrations higher than 126 µg kg-1 and 5557 µg kg-1 was not conducive to the microbial degradation of polycyclic aromatic hydrocarbons and alkanes, respectively. These results can be used as a reference for an enhanced bioremediation of contaminated groundwater. Overall, these findings provide support to managers for developing environmental management strategies.

Distribution of the microbial community and antibiotic resistance genes in farmland surrounding gold tailings: A metagenomics approach.

Metal mining has caused the accumulation of waste mine tailing dumps from abandoned mines. The pollution of farmlands surrounding metal tailings by heavy metals has been a long-recognized problem. However, the distribution of antibiotic resistance genes (ARGs) in tailings and the main factors influencing this distribution have rarely been reported. In this study, a metagenomics approach was used to investigate the microbial community and ARGs present in farmland surrounding gold tailings in northern China. The results showed that the main pollutants in the farmland were As, Pb, and Cd. Proteobacteria and Actinobacteria were the dominant phyla of microbes in farmlands surrounding gold tailings. A total of 75 ARGs with 327 ARG subtypes were detected in soil samples. Macrolide-, lincosaminide-, and streptogramin B resistant genes accounted for the majority of ARGs in this study, and Actinobacteria, Proteobacteria, and Acidobacteria were the hosts of most ARGs. Partial least squares path modeling revealed that the microbial community was the most influential driver moderating the distribution of soil ARGs near tailings, and heavy metals have direct and partially indirect effects on these ARGs. In contrast to previous analyses of ARGs, our study found that mobile gene elements had a minimal impact on ARGs. Overall, this study presents a complete ARG survey that sheds light on the distribution and fate of ARGs under heavy metal contamination in farmland around gold tailings.

Study on the spatial distribution of ureolytic microorganisms in farmland soil around tailings with different heavy metal pollution.

Ureolytic microorganisms, a kind of microorganism which can secrete urease and decompose urea, have great potential in remediation of soil heavy metals based on microbial induced carbonate precipitation. However, the horizontal and vertical distribution of ureolytic microbial community in heavy metals contaminated soils is poorly understood. In this study, urease genes in agricultural soils surrounding tailings were first investigated using metagenomic in two dimensions: heavy metal pollution (Low-L, Middle-M, High-H) and soil depth (0-20 cm, 20-40 cm, 40-60 cm, 60-80 cm, 80-100 cm). Results showed that the effect of heavy metal concentration on ureolytic microorganisms was indeed significant, while the changes of ureolytic microorganisms with increasing soil depth varied in the vertical direction at the same level of heavy metal contamination. H site had the highest diversity of ureolytic microorganisms except for the topsoil. And at the same heavy metal contamination level, the ureolytic microbial diversity was lower in deeper soils. Proteobacteria, Actinobacteria and Thaumarchaeota (Archaea) were the dominant phyla of ureolytic microorganisms in all three sites, accounting for more than 80% of the total. However, the respond to the heavy metal concentrations of three phyla were different, which were increasing, decreasing and essentially unchanged, respectively. Besides, other environmental factors such as SOM and pH had different effects on ureolytic microorganisms, with Proteobacteria being positively correlated and Actinobacteria being the opposite. Another phenomenon was that Actinobacteria and Verrucomicrobia were biomarkers of group L, which could significantly explain the difference with the other two sites. These results provided valuable information for further research on the response mechanism and remediation of heavy metal pollution by ureolytic microbial system.

Preparation of ureido-functionalized PVA/silica mesoporous fibre membranes via electrospinning for adsorption of Pb2+ and Cu2+ in wastewater.

Ureido-functionalized mesoporous polyvinyl alcohol/silica composite nanofibre membranes were prepared by electrospinning technology and their application for removal of Pb2+ and Cu2+ from wastewater was discussed. The characteristics of the membranes were investigated by scanning electron microscopy, transmission electron microscopy, X-ray diffraction, and N2 adsorption-desorption analysis. Results show that the membranes have long fibrous shapes and worm-like mesoporous micromorphologies. Fourier transform infrared spectroscopy confirmed the membranes were successfully functionalized with ureido groups. Pb2+ and Cu2+ adsorption behavior on the membranes followed a pseudo-second-order nonlinear kinetic model with approximately 30 minutes to equilibrium. Pb2+ adsorption was modelled using a Langmuir isotherm model with maximum adsorption capacity of 26.96 mg g-1. However, Cu2+ adsorption was well described by a Freundlich isotherm model with poor adsorption potential due to the tendency to form chelating complexes with several ureido groups. Notably, the membranes were easily regenerated through acid treatment, and maintained adsorption capacity of 91.87% after five regeneration cycles, showing potential for applications in controlling heavy metals-related pollution and metals reuse.