Scholarlink

<p><i>Acinetobacter</i> represents a genus of bacteria characterized by exceptional ecological adaptability and clinical pathogenicity, with numerous species implicated in multidrug-resistant infections. Their dissemination in aquatic environments poses a significant threat to public health. Rivers traversing densely populated regions serve as dynamic ecological corridors that mediate the exchange of microbial populations between anthropogenic and natural environments, emerging as pivotal reservoirs and dissemination pathways for <i>Acinetobacter</i> species. Despite being a keystone group bridging clinical and environmental microbiology, there remains a lack of systematic methods for assessing its environmental health risks. In this study, a multidimensional risk assessment framework was established, integrating metagenomic sequencing with advanced bioinformatics to characterize <i>Acinetobacter</i>-associated hazards in aquatic ecosystems. This framework incorporates pathogenicity profiling, resistome-mobilome-virulome annotation, and abundance quantification at the metagenome-assembled genome (MAG) level. Using the Yangtze River as a model system, the framework was applied to systematically evaluate the health risks posed by <i>Acinetobacter</i>. Key steps included determination of pathogenic potential, comprehensive screening of antibiotic resistance genes, virulence factors, and mobile genetic elements, followed by integrative risk scoring based on MAG-specific functional attributes and relative abundance. This approach overcomes limitations of traditional culture-dependent or abundance-centric assessments and enables rapid, high-resolution evaluation of microbial threats in complex aquatic environments.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A multidimensional framework for assessing riverine health risks from Acinetobacter species: integrating pathogenicity, resistome-mobilome-virulome signatures, and abundance

  • 期刊论文

  • 发表日期：

    2026年3月20日

查看全文
  • Xijuan Wang,
  • Jie Mao,
  • Qiaojuan Wang,
  • Linhao Zhang,
  • Sha Shi,
  • Yaohui Bai

摘要

Acinetobacter represents a genus of bacteria characterized by exceptional ecological adaptability and clinical pathogenicity, with numerous species implicated in multidrug-resistant infections. Their dissemination in aquatic environments poses a significant threat to public health. Rivers traversing densely populated regions serve as dynamic ecological corridors that mediate the exchange of microbial populations between anthropogenic and natural environments, emerging as pivotal reservoirs and dissemination pathways for Acinetobacter species. Despite being a keystone group bridging clinical and environmental microbiology, there remains a lack of systematic methods for assessing its environmental health risks. In this study, a multidimensional risk assessment framework was established, integrating metagenomic sequencing with advanced bioinformatics to characterize Acinetobacter-associated hazards in aquatic ecosystems. This framework incorporates pathogenicity profiling, resistome-mobilome-virulome annotation, and abundance quantification at the metagenome-assembled genome (MAG) level. Using the Yangtze River as a model system, the framework was applied to systematically evaluate the health risks posed by Acinetobacter. Key steps included determination of pathogenic potential, comprehensive screening of antibiotic resistance genes, virulence factors, and mobile genetic elements, followed by integrative risk scoring based on MAG-specific functional attributes and relative abundance. This approach overcomes limitations of traditional culture-dependent or abundance-centric assessments and enables rapid, high-resolution evaluation of microbial threats in complex aquatic environments.