青藏高原河流的人为基因传播:污水驱动传播、环境选择和微真核营养间驱动因子

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Bob Adyari , Xin Liao , Xiuhang Yan , Yuxin Qiu , Hans-Peter Grossart , Laiyi Li , Tao Yu , Guannan Mao , Keshao Liu , Jiangqian Su , Yongqin Liu , Anyi Hu
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引用次数: 0

摘要

人为基因的传播,如抗生素耐药基因(ARGs)、移动遗传元件(MGEs)、毒力因子基因(vfg)和抗生素耐药细菌(ARBs),是一个日益严重的公共卫生问题。然而,人类活动对这些基因和细菌在青藏高原河流中传播的作用尚不清楚。在这项研究中,我们分析了来自西藏9条河流的水和沉积物的138个宏基因组样本,以及来自21个污水处理厂(WWTPs)的污水样本,在基因和contigs水平上,研究了污水富集基因及其细菌宿主(contigs)在西藏河流中的传播。总体而言,污水输入与水体和沉积物中检测到的基因丰度分别平均增加56%和17%呈正相关。然而,FEAST来源跟踪分析显示,所有河流的污水总体贡献显著低于水和沉积物。此外,污水的影响因河而异,最大的河流雅鲁藏布江尽管从较小的河流和污水处理厂输入,但影响有限。中性群落模型(Neutral community model, NCM)表明,中性过程和负选择主导着大多数高浓度富集污水的基因和基因组的传播,表明环境传播受到限制。相比之下,相对于中性预期(高于中性预测),过度代表的基因子集显示出较低的总体丰度,但较高的丰富度,潜在地反映了有利于它们在某些下游环境中保留的选择压力。此外,水中的污水富集基因和contigs,无论其群落组装过程如何,都与微生物相互作用模块有关,这些相互作用模块由与污水相关的微真核生物群体主导,包括消费原生生物(纤毛虫)、人类寄生虫(如Naegleria)、藻类和真菌。这些相互作用促进了抗菌素耐药性在水生环境中的传播,尽管这种模式在沉积物中不太明显。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Anthropogenic gene dissemination in Tibetan Plateau rivers: sewage-driven spread, environmental selection, and microeukaryotic inter-trophic driving factors
The spread of anthropogenic genes, such as antibiotic resistance genes (ARGs), mobile genetic elements (MGEs), virulence factor genes (VFGs), and antibiotic-resistant bacteria (ARBs), is a growing public health concern. However, the role of anthropogenic activities in the dissemination of these genes and bacteria in Tibetan Plateau rivers is still unclear. In this study, we analyzed 138 metagenomic samples from water and sediment across nine Tibetan rivers, along with sewage samples from 21 wastewater treatment plants (WWTPs), at both the gene and contig levels, to investigate the spread of the sewage-enriched genes and their bacterial hosts (contigs) in Tibetan rivers. Overall, sewage input was positively correlated with increased the abundance of an average 56 % and 17 % of detected genes in water and sediment, respectively. However, FEAST source tracking analysis revealed that the overall contribution of sewage across all rivers was significantly lower than that of water and sediment. Additionally, sewage’s impact varied across rivers, with the Yarlung Zangbo, the largest river, exhibiting limited influence despite receiving inputs from smaller rivers and WWTPs. Neutral community model (NCM) suggested that neutral processes and negative selection predominantly governed the spread of majority of highly abundant sewage-enriched genes and contigs, suggesting restricted environmental spread. In contrast, a subset of genes over-represented relative to neutral expectations (above-neutral prediction) showed lower overall abundance but higher richness, potentially reflecting selection that favor their retention in certain downstream environments. Furthermore, sewage-enriched genes and contigs in water, regardless of their community assembly processes, were linked to microbial interaction modules dominated by microeukaryotic groups associated with sewage, including consumer protists (ciliate), human parasites (e.g., Naegleria), algae, and fungi. These interactions may facilitate the dissemination of antimicrobial resistance in aquatic environments, though this pattern was less pronounced in sediment.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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