Zhang Jiayu, Tang Aixi, Jin Tao, Sun Deshou, Guo Fangliang, Lei Huaxin, Lin Lin, Shu Wensheng, Yu Pingfeng, Li Xiaoyan, Li Bing
Institute of Environment and Ecology, Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen China.
Research Center for Eco-Environmental Engineering Dongguan University of Technology Dongguan China.
Imeta. 2024 Mar 29;3(3):e188. doi: 10.1002/imt2.188. eCollection 2024 Jun.
Wastewater biotreatment systems harbor a rich diversity of microorganisms, and the effectiveness of biotreatment systems largely depends on the activity of these microorganisms. Specifically, viruses play a crucial role in altering microbial behavior and metabolic processes throughout their infection phases, an aspect that has recently attracted considerable interest. Two metagenomic approaches, viral-like particle-concentrated (VPC, representing free viral-like particles) and non-concentrated (NC, representing the cellular fraction), were employed to assess their efficacy in revealing virome characteristics, including taxonomy, diversity, host interactions, lifestyle, dynamics, and functional genes across processing units of three wastewater treatment plants (WWTPs). Our findings indicate that each approach offers unique insights into the viral community and functional composition. Their combined use proved effective in elucidating WWTP viromes. We identified nearly 50,000 viral contigs, with Cressdnaviricota and Uroviricota being the predominant phyla in the VPC and NC fractions, respectively. Notably, two pathogenic viral families, Asfarviridae and Adenoviridae, were commonly found in these WWTPs. We also observed significant differences in the viromes of WWTPs processing different types of wastewater. Additionally, various phage-derived auxiliary metabolic genes (AMGs) were active at the RNA level, contributing to the metabolism of the microbial community, particularly in carbon, sulfur, and phosphorus cycling. Moreover, we identified 29 virus-carried antibiotic resistance genes (ARGs) with potential for host transfer, highlighting the role of viruses in spreading ARGs in the environment. Overall, this study provides a detailed and integrated view of the virosphere in three WWTPs through the application of VPC and NC metagenomic approaches. Our findings enhance the understanding of viral communities, offering valuable insights for optimizing the operation and regulation of wastewater treatment systems.
废水生物处理系统中存在着丰富多样的微生物,生物处理系统的有效性很大程度上取决于这些微生物的活性。具体而言,病毒在其感染阶段改变微生物行为和代谢过程中起着关键作用,这一方面最近引起了相当大的关注。采用了两种宏基因组学方法,即病毒样颗粒浓缩法(VPC,代表游离病毒样颗粒)和非浓缩法(NC,代表细胞部分),来评估它们在揭示病毒群落特征方面的功效,包括三个污水处理厂(WWTPs)各处理单元中的分类学、多样性、宿主相互作用、生活方式、动态变化以及功能基因。我们的研究结果表明,每种方法都能为病毒群落和功能组成提供独特的见解。它们的联合使用被证明在阐明污水处理厂病毒群落方面是有效的。我们鉴定出了近50,000个病毒重叠群,其中Cressdnaviricota和Uroviricota分别是VPC和NC部分中的主要门类。值得注意的是,在这些污水处理厂中普遍发现了两个致病病毒科,即非洲猪瘟病毒科和腺病毒科。我们还观察到处理不同类型废水的污水处理厂的病毒群落存在显著差异。此外,各种噬菌体衍生的辅助代谢基因(AMGs)在RNA水平上具有活性,有助于微生物群落的代谢,特别是在碳、硫和磷循环方面。此外,我们鉴定出了29个具有宿主转移潜力的病毒携带抗生素抗性基因(ARGs),突出了病毒在环境中传播ARGs的作用。总体而言,本研究通过应用VPC和NC宏基因组学方法,提供了三个污水处理厂病毒圈的详细综合视图。我们的研究结果增进了对病毒群落的理解,为优化污水处理系统的运行和调控提供了有价值的见解。