Parras-Moltó Marcos, Lund David, Ebmeyer Stefan, Larsson D G Joakim, Johnning Anna, Kristiansson Erik
Department of Mathematical Sciences, Chalmers University of Technology & University of Gothenburg, Gothenburg, Sweden.
Centre for Antibiotic Resistance Research in Gothenburg (CARe), University of Gothenburg, Gothenburg, Sweden.
mSphere. 2025 Jun 25;10(6):e0011425. doi: 10.1128/msphere.00114-25. Epub 2025 Jun 3.
Infections from antibiotic-resistant bacteria threaten human health globally. Resistance is often caused by mobile antibiotic resistance genes (ARGs) shared horizontally between bacterial genomes. Many ARGs originate from environmental and commensal bacteria and are transferred between divergent bacterial hosts before they reach pathogens. This process remains, however, poorly understood, which complicates the development of countermeasures that reduce the spread of ARGs. In this study, we aimed to systematically analyze the ARGs transferred between the most evolutionarily distant bacteria, defined here based on their phylum. We implemented an algorithm that identified inter-phylum transfers (IPTs) by combining ARG-specific phylogenetic trees with the taxonomy of the bacterial hosts. From the analysis of almost 1 million ARGs identified in >400,000 bacterial genomes, we identified 661 IPTs, which included transfers between all major bacterial phyla. The frequency of IPTs varies substantially between ARG classes and was highest for the aminoglycoside resistance gene AAC(3), while the levels for beta-lactamases were generally lower. ARGs involved in IPTs also differed between phyla, where, for example, tetracycline ARGs were commonly transferred between Firmicutes and Proteobacteria, but rarely between Actinobacteria and Proteobacteria. The results, furthermore, show that conjugative systems are seldom shared between bacterial phyla, suggesting that other mechanisms drive the dissemination of ARGs between divergent hosts. We also show that bacterial genomes involved in IPTs of ARGs are either over- or underrepresented in specific environments. These IPTs were also found to be more recent compared to transfers associated with bacteria isolated from water, soil, and sediment. While macrolide and tetracycline ARGs involved in IPTs almost always were >95% identical between phyla, corresponding β-lactamases showed a median identity of <60%. We conclude that inter-phylum transfer is recurrent, and our results offer new insights into how ARGs are disseminated between evolutionarily distant bacteria.
Antibiotic-resistant infections pose a growing threat to global health. This study reveals how genes conferring antibiotic resistance can move between bacteria that belong to different phyla lineages previously thought to be too evolutionarily distant for frequent gene exchange. By analyzing nearly 1 million resistance genes from over 400,000 bacterial genomes, the researchers uncovered hundreds of inter-phylum transfer events, exposing surprising patterns in how different classes of resistance genes spread. The findings highlight that conjugative systems are less common than expected in cross-phyla transfers and suggest that alternative mechanisms may play key roles. This new understanding of how resistance genes leap between vastly different bacterial groups can inform strategies to slow the emergence of drug-resistant infections, aiding in the development of more effective public health interventions.
来自抗生素耐药菌的感染在全球范围内威胁着人类健康。耐药性通常由细菌基因组之间水平共享的可移动抗生素耐药基因(ARGs)引起。许多ARGs起源于环境细菌和共生细菌,并在到达病原体之前在不同的细菌宿主之间转移。然而,这一过程仍知之甚少,这使得减少ARGs传播的对策开发变得复杂。在本研究中,我们旨在系统分析在进化上距离最远的细菌之间转移的ARGs,这里根据它们的门来定义。我们实施了一种算法,通过将特定于ARGs的系统发育树与细菌宿主的分类学相结合来识别门间转移(IPTs)。通过对在超过40万个细菌基因组中鉴定出的近100万个ARGs进行分析,我们识别出661次IPTs,其中包括所有主要细菌门之间的转移。IPTs的频率在不同的ARGs类别之间有很大差异,对于氨基糖苷类耐药基因AAC(3)最高,而β-内酰胺酶的频率通常较低。参与IPTs的ARGs在不同门之间也有所不同,例如,四环素ARGs通常在厚壁菌门和变形菌门之间转移,但很少在放线菌门和变形菌门之间转移。此外,结果表明接合系统很少在细菌门之间共享,这表明其他机制推动了ARGs在不同宿主之间的传播。我们还表明,参与ARGs门间转移的细菌基因组在特定环境中要么过度代表要么代表不足。与从水、土壤和沉积物中分离出的细菌相关的转移相比,这些IPTs也被发现是更近发生的。虽然参与IPTs的大环内酯类和四环素类ARGs在不同门之间几乎总是有>95%的同一性,但相应的β-内酰胺酶的同一性中位数<60%。我们得出结论,门间转移是反复发生的,我们的结果为ARGs如何在进化上距离遥远的细菌之间传播提供了新的见解。
抗生素耐药性感染对全球健康构成的威胁日益增加。这项研究揭示了赋予抗生素耐药性的基因如何在属于不同门谱系的细菌之间移动,这些细菌以前被认为在进化上距离太远,无法频繁进行基因交换。通过分析来自超过40万个细菌基因组的近100万个耐药基因,研究人员发现了数百次门间转移事件,揭示了不同类别的耐药基因传播的惊人模式。研究结果突出表明,接合系统在跨门转移中比预期的要少见,并表明替代机制可能起关键作用。对耐药基因如何在截然不同的细菌群体之间跳跃的这种新理解可以为减缓耐药性感染出现的策略提供信息,有助于开发更有效的公共卫生干预措施。