An innovative risk evaluation method on soil pathogens in urban-rural ecosystem

Biochar Reduced the Risks of Human Bacterial Pathogens in Soil via Disturbing Quorum Sensing Mediated by Persistent Free Radicals

Biochar has great potential in reducing the abundance of antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) from soil. However, its efficiency in removing other biological pollutants, such as human bacterial pathogens (HBPs) and virulence factor genes (VFGs), is rarely studied. Herein, by pyrolyzing rice straw (RS) and pine wood (PW) at 350 and 700 °C, we prepared a series of biochar (RS350, RS700, PW350, and PW700) and investigated their impacts on the abundance and pathogenicity of HBPs. Compared with PW biochar, RS biochar effectively reduced the abundance of HBPs by 6.3-40.1%, as well as their pathogenicity, evidenced by an 8.2-10.1% reduction in the abundance of VFGs. Mechanistically, more persistent free radicals (PFRs) were formed in RS biochar than that of PW biochar during pyrolysis, and PFRs triggered the degradation of N-butyryl-l-homoserine lactone (C4-HSL) from 1.05 to 0.68 ng/kg, thereby disturbing the quorum sensing (QS) of HBPs. Once the QS was disturbed, the communications among HBPs were hindered, and their virulence factors were reduced, which ultimately lowered the abundance and pathogenicity of HBPs. Collectively, our study provides insights into the role of biochar in decreasing the risks of HBPs, which is significant in the development of biochar-based technologies for soil remediation.

Hidden pathogen risk in mature compost: Low optimal growth temperature confers pathogen survival and activity during manure composting

Livestock manure is a major reservoir for pathogens, posing significant environmental risks if used untreated. The efficacy of composting in fully inactivating pathogens remains controversial, particularly regarding the influence of their optimal growth temperature (OGT). This study investigated the composition and dynamic changes of pathogen communities and virulence factors (VFs) during the composting of chicken, bovine, ovine, and swine manure. We identified 134 pathogens across 16 composting piles, with ten pathogens exhibited increased abundance and transcriptional activity in curing phase. They included high-risk VFs-carrying pathogens, such as Mycolicibacterium thermoresistibile and Mycolicibacterium phlei, indicating the hidden pathogen risk in mature compost. Community-scale analyses revealed a linkage of these pathogens' survival with their low OGT and an increased number of heat shock proteins (HSPs), enabling them to tolerate high temperatures and regrow. Integrating our data with prior composting studies, we found that the surviving pathogens express 42 VFs and their persistence in mature compost was a widespread issue, highlighting a greater risk of pathogen spread than previously thought. Finally, we compiled the 134 pathogens and 1009 VFs into a comprehensive Environmental Risk of Compost Pathogens (ERCP) catalog, providing a valuable resource for routine pathogen surveillance.

Characterization of pathogen distribution and pathogenicity from landfill site

Landfills serve as significant environmental reservoirs for pathogens. This study investigated the abundance, distribution characteristics, and influencing factors of pathogens both within the landfill and its surrounding environment. The results unveiled contamination by pathogens in the external atmosphere (5.6 × 107 CFU/m3), soil (1.0 × 109 CFU/g), vegetation (4.7 × 1010 CFU/g), and groundwater (1.2 × 108 CFU/mL), with notably higher levels within the landfill. The abundance of human bacterial pathogens (HBPs) and antibiotic resistance genes (ARGs) in the landfill waste escalates with depth, particularly highlighting the concentration of multidrug ARGs and dominant offensive virulence factors (VFs). Furthermore, the discernible nonrandom co-occurrence patterns among ARGs, VFs, and HBPs intensify the resistance and pathogenicity of HBPs in the landfill waste. The shift in the HBPs community plays a pivotal role in shaping the genomic profiles of VFs and ARGs in the environment. Pathogens such as Pseudomonas aeruginosa, Salmonella enterica, Staphylococcus aureus, and Mycobacterium tuberculosis are prevalent in waste samples, harboring multiple ARGs and VFs, rendering them high-risk HBPs in landfills. The insights into the distribution and pathogenicity of microorganisms at various landfill depths, alongside the contamination status outside the landfill, hold significant implications for the targeted management of pathogens in landfills.

Stochastic processes drive the dynamic assembly of bacterial communities in Salix matsudana afforested soils

Introduction

This study investigates the dynamic shifts in soil bacterial communities within a Salix matsudana afforested ecosystem transitioning from agricultural land. Understanding the temporal variability in bacterial diversity and community structures is crucial for informing forest management and conservation strategies, particularly in regions undergoing afforestation.

Methods

We employed high-throughput sequencing across three distinct months (August, September, and October) to analyze the temporal variability in bacterial community composition and diversity. Network analysis was utilized to identify keystone species and assess community stability under varying environmental conditions, including fluctuations in temperature and precipitation.

Results

We uncover significant temporal variability in bacterial diversity and community structures, which are closely tied to fluctuations in temperature and precipitation. Our findings reveal the abundance of the dominant bacterial phyla, such as Actinobacteria and Proteobacteria, which did not change overall, highlighting the stability and resilience of the microbial community across seasonal transitions. Notably, the increasing similarity in community composition from August to October indicates a reduction in species turnover, likely driven by more homogeneous environmental conditions. Through comprehensive network analysis, we identify the pivotal role of keystone species, particularly the human pathogen Nocardia, in maintaining community stability under reduced soil moisture. The observed variations in community connectivity underscore the microbial community's resilience and adaptability to seasonal shifts, with higher stability in August and October contrasting with the instability observed in September.

Discussion

These results underscore the complex interplay between stochastic and deterministic processes in bacterial community assembly, significantly shaped by prevailing environmental conditions. The insights gained from this research have far-reaching implications for forestry management and conservation strategies, particularly in regions undergoing similar afforestation efforts.

A case study showing highly traceable sources of bacteria on surfaces of university buildings

University students predominantly spend their time indoors, where prolonged exposure raises the risk of contact with microorganisms of concern. However, our knowledge about the microbial community characteristics on university campus and their underpinnings is limited. To address it, we characterized bacterial communities from the surfaces of various built environments typical of a university campus, including cafeterias, classrooms, dormitories, offices, meeting rooms, and restrooms, in addition to human skin. The classrooms harbored the highest α-diversity, while the cafeterias had the lowest α-diversity. The bacterial community composition varied significantly across different building types. Proteobacteria, Actinobacteria, Firmicutes, Bacteroidetes, and Cyanobacteria were common phyla in university buildings, accounting for more than 90 % of total abundance. Staphylococcus aureus was the most abundant potential pathogen in classrooms, dormitories, offices, restrooms, and on human skin, indicating a potential risk for skin disease infections in these buildings. We further developed a new quantitative pathogenic risk assessment method according to the threat of pathogens to humans and found that classrooms exhibited the highest potential risk. The fast expectation-maximization algorithm identified 59 %-86 % of bacterial sources in buildings, with the human skin as the largest bacterial source for most buildings. As the sources of bacteria were highly traceable, we showed that homogeneous selection, dispersal limitation, and ecological drift were major ecological forces that drove community assembly. Our findings have important implications for predicting the distribution and sources of indoor dust bacterial communities on university campus.

Urbanization and land use regulate soil vulnerability to antibiotic contamination in urban green spaces

The presence of antibiotics in environment is an emerging concern because of their ubiquitous occurrence, adverse eco-toxicological effects, and promotion of widespread antibiotic resistance. Urban soil, which plays a noticeable role in human health, may be a reservoir of antibiotics because of intensive human disturbance. However, little is understood about the vulnerability of soil to antibiotic contamination in urban areas and the spatial-temporal characteristics of anthropogenic and environmental pressures. In this study, we developed a framework for the dynamic assessment of soil vulnerability to antibiotic contamination in urban green spaces, combining antibiotic release, exposure, and consequence layers. According to the results, soil vulnerability risks shown obvious spatial-temporal variation in urban areas. Areas at a high risk of antibiotic contamination were usually found in urban centers with high population densities and in seasons with low temperature and vegetation coverage. Quinolones (e.g., ofloxacin and norfloxacin) were priority antibiotics that posed the highest vulnerability risks, followed by tetracyclines. We also confirmed the effectiveness of the vulnerability assessment by correlating soil vulnerability indexes and antibiotic residues in urban soils. Furthermore, urbanization- and land use-related parameters were shown to be critical in regulating soil vulnerability to antibiotic contamination based on sensitivity analysis. These findings have important implications for the prediction and mitigation of urban soil contamination with antibiotics and strategies to improve human health.