Su Z, Wen D.
Evaluating the potential antibiotic resistance status in environment based on the trait of microbial community Huang B. Frontiers in Microbiology [Internet]. 2020;11:575707.
访问链接AbstractThe overuse of antibiotics has promoted the propagation and dissemination of antibiotic resistance genes (ARGs) in environment. Due to the dense human population and intensive activities in coastal areas, the health risk of ARGs in coastal environment is becoming a severe problem. To date, there still lacks of a quantitative method to assess properly the gross antibiotic resistance at microbial community level. Here, we collected sediment samples from Hangzhou Bay (HB), Taizhou Bay (TB), and Xiangshan Bay (XB) of the East China Sea for community-level ARGs analysis. Based on the 16S rRNA genes and predictive metagenomics, we predicted the composition of intrinsic ARGs (piARGs) and some related functional groups. Firstly, a total of 40 piARG subtypes, belonging to nine drug classes and five resistance mechanisms, were obtained, among which the piARGs encoding multidrug efflux pumps were the most dominant in the three bays. Secondly, XB had higher relative abundances of piARGs and pathogens than the other two bays, which posed higher potential health risk and implied the heavier impact of long-term maricultural activities in this bay. Thirdly, the co-occurrence network analysis identified that there were more connections between piARGs and some potential pathogenic bacteria. Several piARG subtypes (e.g., tetA, aacA, aacC, and aadK) distributed widely in the microbial communities. And finally, the microbial diversity correlated negatively with the relative abundance of piARGs. Oil, salinity, and arsenic had significant effects on the variations of piARGs and potential pathogenic bacteria. The abundance-weighted average ribosomal RNA operon (rrn) copy number of microbial communities could be regarded as an indicator to evaluate the antibiotic resistance status. In conclusion, this study provides a new insight on how to evaluate antibiotic resistance status and their potential risk in environment based on a quantitative analysis of microbial communities.
Xiong F, Zhao X, Wen D, Li Q.
Effects of N-acyl-homoserine lactones-based quorum sensing on biofilm formation, sludge characteristics, and bacterial community during the start-up of bioaugmented reactors. The Science of the total environment [Internet]. 2020;735:139449.
访问链接AbstractBioaugmentation is an effective technology for treating wastewater containing recalcitrant organic pollutants. However, it is restricted by several technical problems, including the difficult colonization and survival of the inoculated bacteria, and the time-consuming start-up process. Considering the important roles of quorum sensing (QS) in regulating microbial behaviors, this study investigated the effects of N-acyl-homoserine lactones (AHLs)-based manipulation on the start-up of biofilm reactors bioaugmented with a pyridine-degrading strain Paracoccus sp. BW001. The results showed that, in the presence of two specific exogenous AHLs (C6-HSL and 3OC6-HSL), the biofilm formation process on carriers was significantly accelerated, producing thick and structured biofilms. The protein and polysaccharide contents of the extracellular polymeric substances (EPS) and soluble microbial products (SMP) in sludge were also elevated, possibly due to the increased abundance of several EPS-producing bacterial genera. Specifically, the stability and complexity of protein structures were improved. Besides the reactor running time, the AHL-manipulation was proved to be the main factor that drove the shift of bacterial community structures in the reactors. The addition of exogenous AHLs significantly increased the succession rate of bacterial communities and decreased the bacterial alpha diversity. Most importantly, the final proportions of the inoculated strain BW001 were elevated by nearly 100% in both sludge and biofilm communities via the AHL-manipulation. These findings strongly elucidated that AHL-based QS was deeply involved in biofilm formation, sludge characteristics, and microbial community construction in bioaugmented reactors, providing a promising start-up strategy for bioaugmentation technology.
Zhao Y, Chen W, Wen D.
The effects of crude oil on microbial nitrogen cycling in coastal sediments. Environment International [Internet]. 2020;139:105724.
访问链接AbstractCrude oil could affect certain critical microbial processes of nitrogen cycling (N-cycling) in coastal sediments, and disturb the nitrogen balance. However, the understanding of the effects of crude oil on coastal sediments N-cycling under human disturbance was still limited. In this study, two sediments (named SY and HB with heavy and slight pollution, respectively) were sampled from Hangzhou Bay, China. After an incubation with exposure to different amounts of crude oil in above two sediments for 30 days, we found that crude oil affected microbial N-cycling in multiple levels. Potential rate measurements revealed that crude oil stimulated potential denitrification and N2O emissions in both sediments, which showed a higher influence on denitrification rates in higher concentration of oil. Quantitative PCR revealed that crude oil greatly increased abundances of bacterial and archaeal 16S rRNA genes and N-cycling genes (nirS, nosZ, nrfA, part of AOA and AOB amoA). On the other hand, only a few genes (16S rRNA and nrfA) showed higher transcriptional activities in oil-addition treatments. Results about relative changes of N-cycling genes revealed that the variations of N-cycling genes in oil-addition treatments were related to sediment types but not crude oil concentrations, and the genes in HB were more sensitive to crude oil than SY. Network analysis of N-cycling genes found that crude oil decreased the complexity of N-cycling gene networks in SY, while increased complexity in HB, and led to more competition among N-cycling microbes. Our findings help to look into the effects of crude oil on key N-cycling processes, and improve the understanding of the interactions among N-cycling under crude oil contamination.
Feifei L, Lyujun C, Weidong C, Yingyu B, Yuhan Z, Bei H, Qinglin M, Donghui W, Chuanping F.
Antibiotics in coastal water and sediments of the East China Sea: Distribution, ecological risk assessment and indicators screening. Marine Pollution Bulletin [Internet]. 2020;151:110810.
访问链接 Zhiguo S, Aolin L, Jiayu C, Bei H, Qinglin M, Lyujun C, Donghui W.
Wastewater discharge drives ARGs spread in the coastal area: A case study in Hangzhou Bay, China. Marine Pollution Bulletin [Internet]. 2020;151:110856.
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