scholarly journals Distribution of Sulfonamide Antibiotics and Resistance Genes and Their Correlation with Water Quality in Urban Rivers(Changchun City), China in Autumn and Winter

Author(s):  
Ke Zhao ◽  
Chunming Li ◽  
Qian Wang ◽  
Hai Lu

Abstract With the extensive use of antibiotics, antibiotics contamination and antibiotic resistance genes (ARGs) in the water environment is becoming severe. In this study, the distribution characteristics of sulfonamide antibiotics and resistance genes in the urban section of the Yitong River in autumn and winter were studied. The correlation between them and water quality parameters was analyzed using liquid chromatography/mass spectrometry (LC/MS/MS) and polymerase chain reaction (PCR) fluorescence quantitative technology. The results showed that the concentration of seven sulfonamide antibiotics in surface water and sediment of the river was generally at the level of ng/L and ng/g; the total concentration range was 11.08-160.60ng/L and ND-85.68ng/g, respectively. The total concentrations of antibiotics were similar in autumn and winter, where SMX was the primary type of antibiotics. The results of Risk Quotients (RQs) showed that SMX and SDZ had moderate acute risk to the corresponding sensitive species in river water, SPD and SIZ had low acute risk, while the rest had no risk. The total bacterial abundance in surface water and sediment was in the range of 10 5 -10 6 and 10 8 -10 11 , respectively. The detection rates of three sulfonamide resistance genes were 100%; the relative abundance was in the range of 10 -3 -10 -1 , and sul1 was the primary resistance gene. The correlation analysis showed that most antibiotics were significantly related. The three resistance genes had a positive correlation, negative correlation, and non-correlation, and most antibiotics had a weak correlation with resistance genes. Nutrients had a more significant impact on antibiotics, and other water quality indicators had a more negligible effect on antibiotics and resistance genes.

Author(s):  
Gabriela Reichert ◽  
Stephan Hilgert ◽  
Johannes Alexander ◽  
Júlio César Rodrigues de Azevedo ◽  
Tobias Morck ◽  
...  

Antibiotics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1100
Author(s):  
Maria-Theresia Gekenidis ◽  
Fiona Walsh ◽  
David Drissner

Irrigation water is well known as potential source of pathogens in fresh produce. However, its role in transferring antibiotic resistance determinants is less well investigated. Therefore, we analyzed the contribution of surface and tap water to the resistome of overhead-irrigated chive plants. Field-grown chive was irrigated with either surface water (R-system) or tap water (D-system), from planting to harvest. Water along the two irrigation chains as well as the respective plants were repeatedly sampled and screened for 264 antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs), using high-capacity qPCR. Differentially abundant (DA) ARGs were determined by comparing the two systems. On R-chive, β-lactam ARGs, multidrug-resistance (MDR) determinants, and MGEs were most abundant, while D-chive featured DA ARGs from the vancomycin class. Diversity and number of DA ARGs was the highest on young chives, strongly diminished at harvest, and increased again at the end of shelf life. Most ARGs highly enriched on R- compared to D-chive were also enriched in R- compared to D-sprinkler water, indicating that water played a major role in ARG enrichment. Of note, blaKPC was detected at high levels in surface water and chive. We conclude that water quality significantly affects the resistome of the irrigated produce.


1993 ◽  
Vol 27 (5-6) ◽  
pp. 61-67 ◽  
Author(s):  
E. Jacobs ◽  
J. W. van Sluis

The surface water system of Amsterdam is very complicated. Of two characteristic types of water systems the influences on water and sediment quality are investigated. The importance of the sewer output to the total loads is different for both water systems. In a polder the load from the sewers is much more important than in the canal basin. Measures to reduce the emission from the sewers are much more effective in a polder. The effect of these measures on sediment quality is more than the effect on water quality. Some differences between a combined sewer system and a separate sewer system can be found in sediment quality.


2021 ◽  
Vol 772 ◽  
pp. 145516
Author(s):  
Hai-Yan Zou ◽  
Liang-Ying He ◽  
Fang-Zhou Gao ◽  
Min Zhang ◽  
Shuai Chen ◽  
...  

2021 ◽  
Author(s):  
Stefan Krause ◽  

<p>It is probably hard to overestimate the significance of the River Ganges for its spiritual, cultural and religious importance. As the worlds’ most populated river basin and a major water resource for the 400 million people inhabiting its catchment, the Ganges represents one of the most complex and stressed river systems globally. This makes the understanding and management of its water quality an act of humanitarian and geopolitical relevance. Water quality along the Ganges is critically impacted by multiple stressors, including agricultural, industrial and domestic pollution inputs, a lack and failure of water and sanitation infrastructure, increasing water demands in areas of intense population growth and migration, as well as the severe implications of land use and climate change. Some aspects of water pollution are readily visualised as the river network evolves, whilst others contribute to an invisible water crisis (Worldbank, 2019) that affects the life and health of hundreds of millions of people.</p><p>We report the findings of a large collaborative study to monitor the evolution of water pollution along the 2500 km length of the Ganges river and its major tributaries that was carried out over a six-week period in Nov/Dec 2019 by three teams of more than 30 international researchers from 10 institutions. Surface water and sediment were sampled from more than 80 locations along the river and analysed for organic contaminants, nutrients, metals, pathogen indicators, microbial activity and diversity as well as microplastics, integrating in-situ fluorescence and UV absorbance optical sensor technologies with laboratory sample preparation and analyses. Water and sediment samples were analysed to identify the co-existence of pollution hotspots, quantify their spatial footprint and identify potential source areas, dilution, connectivity and thus, derive understanding of the interactions between proximal and distal of sources solute and particulate pollutants.</p><p>Our results reveal the co-existence of distinct pollution hotspots for several contaminants that can be linked to population density and land use in the proximity of sampling sites as well as the contributing catchment area. While some pollution hotspots were characterised by increased concentrations of most contaminant groups, several hotspots of specific pollutants (e.g., microplastics) were identified that could be linked to specific cultural and religious activities. Interestingly, the downstream footprint of specific pollution hotspots from contamination sources along the main stem of the Ganges or through major tributaries varied between contaminants, with generally no significant downstream accumulation emerging in water pollution levels, bearing significant implications for the spatial reach and legacy of pollution hotspots. Furthermore, the comparison of the downstream evolution of multi-pollution profiles between surface water and sediment samples support interpretations of the role of in-stream fate and transport processes in comparison to patterns of pollution source zone activations across the channel. In reporting the development of this multi-dimensional pollution dataset, we intend to stimulate a discussion on the usefulness of large river network surveys to better understand the relative contributions, footprints and impacts of variable pollution sources and how this information can be used for integrated approaches in water resources and pollution management.</p>


Author(s):  
Denize Gomes Freitas ◽  
Rassan Dyego Romão Silva ◽  
Luis Artur Mendes Bataus ◽  
Mônica Santiago Barbosa ◽  
Carla Afonso da Silva Bitencourt Braga ◽  
...  

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