Soil salinity, pH, and indigenous bacterial community interactively influence the survival of E. coli O157:H7 revealed by multivariate statistics

Soil microbial community composition and co-occurrence network responses to mild and severe disturbances in volcanic areas

Soil physicochemical properties and vegetation types are the main factors affecting soil microorganisms, but there are few studies on the effects of the disturbance following volcanic eruption. To make up for this lack of knowledge, we used Illumina Miseq high-throughput sequencing to study the characteristics of soil microorganisms on both shores of a volcanically disturbed lake. Soil microorganisms in the two sites were subjected to different degrees of volcanic disturbance and showed significant heterogeneity. Mild volcanic disturbance area had higher enrichment of prokaryotic community. Co-occurrence network analysis showed that a total of 12 keystone taxa (9 prokaryotes and 3 fungi) were identified, suggesting that soil prokaryote may play a more significant role than fungi in overall community structure and function. Compared with severe volcanic disturbance area, the soil microbial community in mild volcanic disturbance area had the higher modular network (0.327 vs 0.291). The competition was stronger (positive/negative link ratio, P/N: 1.422 vs 1.159). Random forest analysis showed that soil superoxide dismutase was the most significant variable associated with soil microbial community. Structural equation model (SEM) results showed that keystone had a directly positive effect on prokaryotic (λ = 0.867, P < 0.001) and fungal (λ = 0.990, P < 0.001) multifunctionality while had also a directly positive effect on fungal diversity (λ = 0.553, P < 0.001), suggesting that keystone taxa played a key role in maintaining ecosystem stability. These results were important for understanding the effects of different levels of volcanic disturbance on soil ecosystems.

Indigenous microbial community governs the survival of Escherichia coli O157:H7 in constructed wetlands

The survival pattern of Escherichia coli O157:H7 (E. coli O157:H7) and its regulatory factors in natural environments have been widely studied. However, there is little information about the survival of E. coli O157:H7 in artificial environments, especially in wastewater treatment facilities. In this study, a contamination experiment was performed to explore the survival pattern of E. coli O157:H7 and its central control factors in two constructed wetlands (CWs) under different hydraulic loading rates (HLRs). The results showed that the survival time of E. coli O157:H7 was longer in the CW under the higher HLR. Substrate ammonium nitrogen and available phosphorus were the main factors that influenced the survival of E. coli O157:H7 in CWs. Despite the minimal effect of microbial α-diversity, some keystone taxa, such as Aeromonas, Selenomonas, and Paramecium, governed the survival of E. coli O157:H7. In addition, the prokaryotic community had a more significant impact on the survival of E. coli O157:H7 than the eukaryotic community. The biotic properties had a more substantial direct power on the survival of E. coli O157:H7 than the abiotic factors in CWs. Collectively, this study comprehensively disclosed the survival pattern of E. coli O157:H7 in CWs, which is an essential addition to the environmental behavior of E. coli O157:H7, providing a theoretical basis for the prevention and control of biological contamination in wastewater treatment processes.

Persistence of E. coli O157:H7 in urban recreational waters from Spring and Autumn: a comparison analysis

People might get infected by pathogens found in urban recreational waters during water-contact activities, such as swimming, boating, bathing, and yachting. However, the persistence of pathogenic bacteria in those waters was not well documented. In this study, persistence of E. coli O157:H7 (EcO157) in 48 water samples (24 Spring samples and 24 Autumn samples) from the 3 urban recreational waters was investigated. Multivariate statistical analysis was performed to correlate survival data with water physicochemical properties and bacterial communities. Our data showed that EcO157 survived longer in Spring samples than in Autumn samples regardless of the lakes. Results revealed that recreational water physicochemical properties and bacterial community in Spring samples were different from those in Autumn samples. Mantel and Partial Mantel tests, as well as co-occurrence network analysis illustrated that EC salinity, TOC, and bacterial community were correlated with survival time (ttd) (p < 0.05). Variation partition analysis (VPA) indicated that bacterial community, EC, TOC, and TN explained about 64.81% of overall ttd variation in Spring samples, and bacterial community, EC, pH, and TP accounted for about 56.59% of overall ttd variation in Autumn samples. Structural equation model (SEM) illustrated that EC indirectly positively affected ttd through bacterial community. The correlation between bacterial community and ttd was negative in Spring samples and positive in Autumn samples. TN appeared a direct positive effect on ttd in Spring samples. TP displayed a direct negative effect on ttd in Autumn samples. Our results concluded that there was seasonal variation in environmental factors that directly or indirectly affected the survival of EcO157 in urban recreational waters.

Levels, distributions, and sources of legacy and novel per- and perfluoroalkyl substances (PFAS) in the topsoil of Tianjin, China

Soil is a major sink for per- and perfluoroalkyl substances (PFAS), wherein PFAS may be transferred through the food chain to predators at upper trophic levels, which poses a threat to human health. Herein, the concentrations and distributions of legacy and novel PFAS in topsoil samples from different functional areas in Tianjin were comprehensively investigated. Seventeen PFAS congeners were identified, with concentrations ranging from 0.21 ng/g to 5.35 ng/g, with a mean concentration of 1.25 ng/g. The main PFAS in the topsoil was perfluorooctanoic acid (PFOA). 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA; <MDL-1.95 ng/g, mean 0.11 ng/g), as an emerging substitute for perfluorooctane sulfonate (PFOS), was also detected in the topsoil. It showed slightly higher concentrations than PFOS (<MDL-1.62 ng/g, mean 0.10 ng/g), indicating it has gradually replaced legacy PFOS in this area. Based on the positive-definite matrix factor (PMF) receptor model, the major PFAS sources was dominated by textile treatment, metal electroplating plants, and some potential precursors of PFAS with longer chains (>C8) were the major sources (43.4%), followed by food packaging as well as coating materials (25.5%). In addition, Spearman correlation analysis and the structural equation model showed that population density significantly impacted the PFAS distribution in the topsoil of Tianjin.