Key Laboratory of Urban Environment and Health, Fujian Key Laboratory of Watershed Ecology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
University of the Chinese Academy of Sciences, Beijing 100049, China.
Proc Natl Acad Sci U S A. 2022 Oct 4;119(40):e2201473119. doi: 10.1073/pnas.2201473119. Epub 2022 Sep 26.
Antimicrobial resistance (AMR) in soils represents a serious risk to human health through the food chain and human-nature contact. However, the active antibiotic-resistant bacteria (ARB) residing in soils that primarily drive AMR dissemination are poorly explored. Here, single-cell Raman-DO coupled with targeted metagenomics is developed as a culture-independent approach to phenotypically and genotypically profiling active ARB against clinical antibiotics in a wide range of soils. This method quantifies the prevalence (contamination degree) and activity (spread potential) of soil ARB and reveals a clear elevation with increasing anthropogenic activities such as farming and the creation of pollution, thereby constituting a factor that is critical for the assessment of AMR risks. Further targeted sorting and metagenomic sequencing of the most active soil ARB uncover several uncultured genera and a pathogenic strain. Furthermore, the underlying resistance genes, virulence factor genes, and associated mobile genetic elements (including plasmids, insertion sequences, and prophages) are fully deciphered at the single-cell level. This study advances our understanding of the soil active AMR repertoire by linking the resistant phenome to the genome. It will aid in the risk assessment of environmental AMR and guide the combat under the One Health framework.
土壤中的抗微生物药物耐药性(AMR)通过食物链和人类与自然的接触对人类健康构成严重威胁。然而,主要驱动 AMR 传播的土壤中居住的活跃抗生素耐药细菌(ARB)尚未得到充分探索。在这里,单细胞拉曼-DO 与靶向宏基因组学相结合,被开发为一种无需培养的方法,可针对临床抗生素对广泛土壤中的活跃 ARB 进行表型和基因型分析。该方法量化了土壤 ARB 的流行程度(污染程度)和活性(传播潜力),并显示出随着农业和污染的产生等人为活动的增加而明显升高,从而构成了评估 AMR 风险的关键因素。进一步对最活跃的土壤 ARB 进行靶向分类和宏基因组测序,揭示了几个未培养的属和一个致病性菌株。此外,还在单细胞水平上全面解析了潜在的耐药基因、毒力因子基因和相关的移动遗传元件(包括质粒、插入序列和噬菌体)。本研究通过将耐药表型与基因组联系起来,推进了我们对土壤中活跃的 AMR 库的理解。它将有助于环境 AMR 的风险评估,并在“同一健康”框架下指导对抗。