Partanen Veera, Dekić Rozman Svjetlana, Karkman Antti, Muurinen Johanna, Hiltunen Teppo, Virta Marko
Department of Microbiology, University of Helsinki, Viikinkaari 9, 00790, Helsinki, Finland.
Department of Biology, University of Turku, Turku,Vesilinnantie 5, 20014, Finland.
ISME Commun. 2025 Jul 10;5(1):ycaf113. doi: 10.1093/ismeco/ycaf113. eCollection 2025 Jan.
One of the most important knowledge gaps in the antimicrobial resistance crisis is the lack of understanding regarding how genes spread from their environmental origins to bacteria pathogenic to humans. In this study our aim was to create a system that allows the conduction of experiments in laboratory settings that mimic the complexity of natural communities with multiple resistance genes and mobile genetic elements circulating at the same time. Here we report a new sequence-based barcode system that allows simultaneous tracking of the spread of antimicrobial resistance genes from multiple genetic origins. We tested this concept with an experiment in which we added an antimicrobial resistance gene to different genetic environments in alive and dead donors and let the gene spread naturally in an artificial microbial community under different environmental conditions to provide examples of factors that can be investigated. We used emulsion, paired-isolation, and concatenation polymerase chain reaction to detect the new gene carriers and metagenomic analysis to see changes in the genetic environment. We observed the genes moving and were able to recognise the barcode from the gene sequences, thus validating the idea of barcode use. We also saw that temperature and gene origin had effects on the number of new host species. Our results confirmed that our system worked and can be further developed for more complicated experiments.
抗菌药物耐药性危机中最重要的知识空白之一,是人们对基因如何从其环境起源传播到对人类致病的细菌缺乏了解。在本研究中,我们的目标是创建一个系统,该系统能够在实验室环境中开展实验,模拟自然群落的复杂性,其中多个耐药基因和可移动遗传元件同时传播。在此,我们报告一种基于序列的新条形码系统,该系统能够同时追踪来自多个遗传起源的抗菌药物耐药基因的传播情况。我们通过一项实验对这一概念进行了测试,在实验中,我们将一个抗菌药物耐药基因添加到活的和死的供体的不同遗传环境中,并让该基因在不同环境条件下的人工微生物群落中自然传播,以提供可进行研究的因素实例。我们使用乳液、配对分离和串联聚合酶链反应来检测新的基因载体,并通过宏基因组分析来观察遗传环境的变化。我们观察到基因在移动,并且能够从基因序列中识别条形码,从而验证了使用条形码的想法。我们还发现温度和基因起源对新宿主物种的数量有影响。我们的结果证实了我们的系统有效,并且可以进一步开发用于更复杂的实验。