Gheorghe-Barbu Irina, Dragomir Rares-Ionut, Gradisteanu Pircalabioru Gratiela, Surleac Marius, Dinu Iulia Adelina, Gaboreanu Madalina Diana, Czobor Barbu Ilda
Faculty of Biology, University of Bucharest, Intr. Portocalelor No. 1-3, 060101 Bucharest, Romania.
The Research Institute of the University of Bucharest (ICUB), B.P Hasdeu No. 7, 050095 Bucharest, Romania.
Microorganisms. 2024 Aug 18;12(8):1703. doi: 10.3390/microorganisms12081703.
This study provides a comprehensive analysis of in aquatic environments and fish microbiota by integrating culture-dependent methods, 16S metagenomics, and antibiotic resistance profiling.
A total of 83 isolates were recovered using culture-dependent methods from intra-hospital infections (IHI) and wastewater (WW) and surface water (SW) samples from two southern Romanian cities in August 2022. The antibiotic susceptibility was screened using disc diffusion, microdilution, PCR, and Whole Genome Sequencing assays.
The highest microbial load in the analyzed samples was found in Glina, Bucharest, for both WW and SW samples across all investigated phenotypes. For Bucharest isolates, the resistance levels corresponded to fluoroquinolones > aminoglycosides > β-lactam antibiotics. In contrast, from upstream SW samples in Târgoviște showed the highest resistance to aminoglycosides. The gene was frequently detected in IHI, WW, and SW isolates in Bucharest, but was absent in Târgoviște. Molecular phylogeny revealed the presence of ST10 in Târgoviște isolates and ST2 in Bucharest isolates, while other minor STs were not specifically correlated with a sampling point. Using 16S rRNA sequencing, significant differences in microbial populations between the two locations was identified. The low abundance of Alphaproteobacteria and Actinobacteria in both locations suggests environmental pressures or contamination events.
These findings indicate significant fecal contamination and potential public health risks, emphasizing the need for improved water quality monitoring and management.
本研究通过整合依赖培养的方法、16S宏基因组学和抗生素耐药性分析,对水生环境和鱼类微生物群进行了全面分析。
2022年8月,使用依赖培养的方法从罗马尼亚南部两个城市的医院内感染(IHI)、废水(WW)和地表水(SW)样本中总共分离出83株菌株。使用纸片扩散法、微量稀释法、聚合酶链反应(PCR)和全基因组测序测定法筛选抗生素敏感性。
在所有调查的表型中,在布加勒斯特的格利纳,WW和SW样本中分析的样本中发现了最高的微生物负荷。对于布加勒斯特的分离株,耐药水平依次为氟喹诺酮类>氨基糖苷类>β-内酰胺类抗生素。相比之下,特尔戈维什泰上游SW样本中的分离株对氨基糖苷类抗生素表现出最高的耐药性。blaCTX-M基因在布加勒斯特的IHI、WW和SW分离株中经常被检测到,但在特尔戈维什泰则不存在。分子系统发育分析显示,特尔戈维什泰分离株中存在ST10,布加勒斯特分离株中存在ST2,而其他次要的STs与采样点没有特定关联。使用16S rRNA测序,确定了两个地点之间微生物种群的显著差异。两个地点中α-变形菌纲和放线菌纲的低丰度表明存在环境压力或污染事件。
这些发现表明存在严重的粪便污染和潜在的公共卫生风险,强调需要改善水质监测和管理。