Antibiotic resistomes in water supply reservoirs sediments of central China: main biotic drivers and distribution pattern

Occurrence characteristics and influencing factors of antibiotic resistance genes in rural groundwater in Henan Province

This study determined the antibiotic-resistant gene (ARG) contents of 34 groundwater samples in Henan Province collected from September to October 2022, then assessed the roles of both water quality parameters and intI1 in ARG propagation in groundwater. The results show that there existed universal ARG pollution in groundwater, and sulfonamides-, β-lactem-, and tetracycline-resistance genes were the most prevalent gene types during the time. Sul1 contributed the majority proportion of the total resistance genes (TARGs). The prevalence of ESBLs gene blaTEM and the occurrence of Carbapenems resistant gene blaOXA-1 suggests the pollution of high-risk ARGs in groundwater demands more attention. IntI1 is prevalent and had a significantly positive correlation with almost 50% ARGs, indicating its contribution to ARG propagation in groundwater. Well types contribute little to ARG propagation in rural groundwater of Henan, which means the protective facilities established by the local government for public wells can effectively prevent contamination from exogenous ARGs. However, the economic level has no impact on the abundance of ARGs in rural groundwater, which suggests the local government should pay greater attention to investment in controlling ARG pollution in Henan rural areas.

Tracking the extracellular and intracellular antibiotic resistance genes across whole year in wastewater of intensive dairy farm

Monitoring the annual variation of antibiotic resistance genes (ARGs) in livestock wastewater is important for determining the high-risk period of transfer and spread of animal-derived antibiotic resistance into the environment. However, the knowledge regarding the variation patterns of ARGs, especially intracellular ARGs (iARGs) and extracellular ARGs (eARGs), over time in livestock wastewater is still unclear. Herein, we conducted a year-round study to trace the profiles of ARGs at a Chinese-intensive dairy farm, focusing on the shifts observed in different months. The results showed significant differences in the composition and variation between iARGs and eARGs. Tetracycline, sulfonamide, and macrolide resistance genes were the major types of iARGs, while cfr was the major type of eARG. The environmental adaptations of the host bacteria determine whether ARGs appear as intracellular or extracellular forms. The total abundance of ARGs was higher from April to September, which can be attributed to the favorable climatic conditions for bacterial colonization and increased antibiotic administration during this period. Integron was found to be highly correlated with most iARGs, potentially playing a role in the presence of these genes within cells and their similar transmission patterns in wastewater. The intracellular and extracellular bacterial communities were significantly different, primarily because of variations in bacterial adaptability to the high salt and anaerobic environment. The intracellular co-occurrence network indicated that some dominant genera in wastewater, such as Turicibacter, Clostridium IV, Cloacibacillus, Subdivision5_genera_incertae_sedis, Saccharibacteria_genera_incertae_sedis and Halomonas, were potential hosts for many ARGs. To the best of our knowledge, this study demonstrates, for the first time, the annual variation of ARGs at critical points in the reuse of dairy farm wastewater. It also offers valuable insights into the prevention and control of ARGs derived from animals.

Regional distribution and migration potential of antibiotic resistance genes in croplands of Qinghai Tibet Plateau

Agricultural activities have recently disturbed the ecosystem of the Qinghai-Tibet Plateau and the shift of antibiotic resistance genes (ARGs) in the different types of farmlands is not well understood, so more comprehensive ecological barrier management measures cannot be provided for the region. This research was performed to exploring ARG pollution in cropland soil on the Qinghai-Tibet Plateau to obtain information on the geographical and climatic factors shaping the ARG distribution. Based on high-throughput quantitative PCR (HT-qPCR) analysis, the ARG abundance in farmland ranged from 5.66 × 105 to 6.22 × 107 copies per gram of soil higher than previous research at soil and wetland in Qinghai-Tibet plateau, and it was higher in wheat and barley soils than in corn soil. The distribution of ARGs exhibited regional features as ARG abundance was adversely affected by mean annual precipitation and temperature with lower temperature and less rainfall at high altitude. According to network analysis and structural equation modeling (SEM), mobile genetic elements (MGEs) and heavy metals are the key drivers of ARG dissemination on the Qinghai-Tibet Plateau as they show negative relationship with ARGs, and selection copressure from heavy metals in cropland soil increases the horizontal gene transfer (HGT) potential of ARGs through synergistic selection effects, each contribution to the ARGs was 19% and 29% respectively. This research suggests the need to focus on controlling heavy metals and MGEs to constrain the dissemination of ARGs, as arable soil is already slightly contaminated by heavy metals.

Variations in Bacterial Communities and Antibiotic Resistance Genes Across Diverse Recycled and Surface Water Irrigation Sources in the Mid-Atlantic and Southwest United States: A CONSERVE Two-Year Field Study

Reduced availability of agricultural water has spurred increased interest in using recycled irrigation water for U.S. food crop production. However, there are significant knowledge gaps concerning the microbiological quality of these water sources. To address these gaps, we used 16S rRNA gene and metagenomic sequencing to characterize taxonomic and functional variations (e.g., antimicrobial resistance) in bacterial communities across diverse recycled and surface water irrigation sources. We collected 1 L water samples (n = 410) between 2016 and 2018 from the Mid-Atlantic (12 sites) and Southwest (10 sites) U.S. Samples were filtered, and DNA was extracted. The V3-V4 regions of the 16S rRNA gene were then PCR amplified and sequenced. Metagenomic sequencing was also performed to characterize antibiotic, metal, and biocide resistance genes. Bacterial alpha and beta diversities were significantly different (p < 0.001) across water types and seasons. Pathogenic bacteria, such as Salmonella enterica, Staphylococcus aureus, and Aeromonas hydrophilia were observed across sample types. The most common antibiotic resistance genes identified coded against macrolides/lincosamides/streptogramins, aminoglycosides, rifampin and elfamycins, and their read counts fluctuated across seasons. We also observed multi-metal and multi-biocide resistance across all water types. To our knowledge, this is the most comprehensive longitudinal study to date of U.S. recycled water and surface water used for irrigation. Our findings improve understanding of the potential differences in the risk of exposure to bacterial pathogens and antibiotic resistance genes originating from diverse irrigation water sources across seasons and U.S. regions.

The Sources and Potential Hosts Identification of Antibiotic Resistance Genes in the Yellow River, Revealed by Metagenomic Analysis

The fate of antibiotic resistance genes (ARGs) has been revealed in various environmental media in recent years. Namely, the emergence of genes that resist colistin and carbapenems has attracted wide attention. However, the pollution condition of ARGs and sources in the Yellow River is still little understood, despite the river being the second longest in China. The present study determined the levels of ARG pollution in the Henan section of the Yellow River and evaluated the role of the aquaculture industry in the spread of ARGs. As revealed by the results, a total of 9 types of ARGs were detected in the sediments of the Yellow River, and the total ARG content in the Yellow River ranges from 7.27 to 245.45 RPKM. Sul1 and sul2 are the dominant ARGs, and the huge usage of sulfonamides, horizontal gene transfer, and wide bacteria host contribute to the prevalence of these two genes. The results of Spearman correlation analysis indicate that the breeding industry has little influence on ARGs in the Yellow River. Network analysis reveals that the opportunistic pathogen Pseudomonas is the potential host of sul1, tetG, and ANT(3'')-IIa, which can pose a risk to human health.

Antibiotic Resistance in the Drinking Water: Old and New Strategies to Remove Antibiotics, Resistant Bacteria, and Resistance Genes

Bacterial resistance is a naturally occurring process. However, bacterial antibiotic resistance has emerged as a major public health problem in recent years. The accumulation of antibiotics in the environment, including in wastewaters and drinking water, has contributed to the development of antibiotic resistant bacteria and the dissemination of antibiotic resistance genes (ARGs). Such can be justified by the growing consumption of antibiotics and their inadequate elimination. The conventional water treatments are ineffective in promoting the complete elimination of antibiotics and bacteria, mainly in removing ARGs. Therefore, ARGs can be horizontally transferred to other microorganisms within the aquatic environment, thus promoting the dissemination of antibiotic resistance. In this review, we discuss the efficiency of conventional water treatment processes in removing agents that can spread/stimulate the development of antibiotic resistance and the promising strategies for water remediation, mainly those based on nanotechnology and microalgae. Despite the potential of some of these approaches, the elimination of ARGs remains a challenge that requires further research. Moreover, the development of new processes must avoid the release of new contaminants for the environment, such as the chemicals resulting from nanomaterials synthesis, and consider the utilization of green and eco-friendly alternatives such as biogenic nanomaterials and microalgae-based technologies.