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通过宏基因组学深入了解抗生素耐药组从人为湖泊地表水到深层沉积物的环境适应性。

Insight into environmental adaptability of antibiotic resistome from surface water to deep sediments in anthropogenic lakes by metagenomics.

机构信息

Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, China; University of Chinese Academy of Sciences, Beijing, 100049, China.

Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430077, China.

出版信息

Water Res. 2024 Jun 1;256:121583. doi: 10.1016/j.watres.2024.121583. Epub 2024 Apr 8.

Abstract

The escalating antibiotic resistance threatens the long-term global health. Lake sediment is a vital hotpot in transmitting antibiotic resistance genes (ARGs); however, their vertical distribution pattern and driving mechanisms in sediment cores remain unclear. This study first utilized metagenomics to reveal how resistome is distributed from surface water to 45 cm sediments in four representative lakes, central China. Significant vertical variations in ARG profiles were observed (R = 0.421, p < 0.001), with significant reductions in numbers, abundance, and Shannon index from the surface water to deep sediment (all p-values < 0.05). ARGs also has interconnections within the vertical profile of the lakes: twelve ARGs persistently exist all sites and depths, and shared ARGs (e.g., vanS and mexF) were assembled by diverse hosts at varying depths. The 0-18 cm sediment had the highest mobility and health risk of ARGs, followed by the 18-45 cm sediment and water. The drivers of ARGs transformed along the profile of lakes: microbial communities and mobile genetic elements (MGEs) dominated in water, whereas environmental variables gradually become the primary through regulating microbial communities and MGEs with increasing sediment depth. Interestingly, the stochastic process governed ARG assembly, while the stochasticity diminished under the mediation of Chloroflexi, Candidatus Bathyarcaeota and oxidation-reduction potential with increasing depth. Overall, we formulated a conceptual framework to elucidate the vertical environmental adaptability of resistome in anthropogenic lakes. This study shed on the resistance risks and their environmental adaptability from sediment cores, which could reinforce the governance of public health issues.

摘要

抗生素耐药性的不断升级威胁着全球的长期健康。湖泊沉积物是传播抗生素耐药基因(ARGs)的重要热点,但 ARGs 在沉积物核心中的垂直分布模式和驱动机制仍不清楚。本研究首次利用宏基因组学揭示了在中国中部四个有代表性的湖泊中,从地表水到 45 厘米深的沉积物中,抗性组是如何分布的。观察到 ARG 谱的显著垂直变化(R = 0.421,p < 0.001),从地表水到深沉积物,ARG 的数量、丰度和 Shannon 指数都显著减少(所有 p 值均 < 0.05)。ARG 也在湖泊的垂直剖面中相互关联:12 个 ARG 持续存在于所有地点和深度,而共享 ARG(如 vanS 和 mexF)则由不同的宿主在不同的深度组装。0-18 厘米的沉积物具有最高的移动性和 ARG 的健康风险,其次是 18-45 厘米的沉积物和水。驱动 ARGs 沿着湖泊剖面变化的因素:微生物群落和移动遗传元件(MGEs)在水中占主导地位,而环境变量随着沉积物深度的增加逐渐成为通过调节微生物群落和 MGEs 的主要因素。有趣的是,随机过程控制着 ARG 的组装,而随着深度的增加,在 Chloroflexi、Candidatus Bathyarcaeota 和氧化还原电位的介导下,随机性减小。总的来说,我们提出了一个概念框架,阐明了人为湖泊中抗性组的垂直环境适应性。本研究从沉积物核心中阐明了抗性风险及其环境适应性,可以加强对公共卫生问题的治理。

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