Gyraitė Greta, Kataržytė Marija, Espinosa Rafael Picazo, Kalvaitienė Greta, Lastauskienė Eglė
Bioscience Institute, Life Science Center, Vilnius University, 10257 Vilnius, Lithuania.
Marine Research Institute, Klaipeda University, 92295 Klaipėda, Lithuania.
Antibiotics (Basel). 2024 Oct 28;13(11):1013. doi: 10.3390/antibiotics13111013.
the widespread use of antibiotics in human and veterinary medicine has contributed to the global challenge of antimicrobial resistance, posing significant environmental and public health risks.
this study aimed to examine the microbiome and resistome dynamics across a salinity gradient, analyzing water and sediment samples from the Baltic Sea coast and the Curonian Lagoon between 2017 and 2023.
the composition of the water and sediment bacterial community was determined by Full-Length Amplicon Metagenomics Sequencing, while ARG detection and quantification were performed using the SmartChipTM Real-Time PCR system.
the observed differences in bacterial community composition between the Baltic Sea coast and the Curonian Lagoon were driven by variations in salinity and chlorophyll a (chl a) concentration. The genera associated with infectious potential were observed in higher abundances in sediment than in water samples. Over 300 genes encoding antibiotic resistance (ARGs), such as aminoglycosides, beta-lactams, and multidrug resistance genes, were identified. Of particular interest were those ARGs that have previously been detected in pathogens and those currently classified as a potential future threat. Furthermore, our findings reveal a higher abundance and a distinct profile of ARGs in sediment samples from the lagoon compared to water.
these results suggest that transitional waters such as lagoons may serve as reservoirs for ARGs, and might be influenced by anthropogenic pressures and natural processes such as salinity fluctuation and nutrient cycling.
抗生素在人类医学和兽医学中的广泛使用促成了抗微生物药物耐药性这一全球性挑战，带来了重大的环境和公共卫生风险。
本研究旨在考察盐度梯度上的微生物群落和耐药基因组动态变化，分析2017年至2023年间来自波罗的海沿岸和库尔斯沙嘴泻湖的水和沉积物样本。
通过全长扩增子宏基因组测序确定水和沉积物细菌群落的组成，同时使用SmartChipTM实时PCR系统进行抗生素抗性基因（ARG）的检测和定量分析。
波罗的海沿岸和库尔斯沙嘴泻湖之间观察到的细菌群落组成差异是由盐度和叶绿素a（chl a）浓度的变化驱动的。与感染潜力相关的属在沉积物中的丰度高于水样。鉴定出了300多个编码抗生素抗性的基因，如氨基糖苷类、β-内酰胺类和多药耐药基因。特别值得关注的是那些先前在病原体中检测到的以及目前被归类为潜在未来威胁的抗生素抗性基因。此外，我们的研究结果表明，与水相比，泻湖沉积物样本中的抗生素抗性基因丰度更高且谱型不同。
这些结果表明，泻湖等过渡水域可能是抗生素抗性基因的储存库，并且可能受到人为压力以及盐度波动和营养物质循环等自然过程的影响。
