sludge metagenome Transcriptome or Gene expression. sludge metagenome
收藏NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA1237268
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The objective of this project is to use genomic sequencing and comparative analysis techniques to conduct an in-depth study of the impact of aerobic starvation conditions on the structure and function of microbial communities in sludge bulking systems. Sludge bulking is a common challenge encountered in the wastewater treatment process, and aerobic starvation, as an environmental stress factor, may significantly affect microbial metabolic activities and community structure. This study plans to employ high-throughput sequencing technology to perform detailed genomic sequencing of microbial samples subjected to aerobic starvation for varying durations, and to compare and analyze the differences in gene expression and functional changes among different samples.Through this research, we expect to clarify the specific effects of aerobic starvation on microbial community structure and function, particularly identifying microbial groups associated with sludge bulking that undergo changes under aerobic starvation conditions, and exploring the mechanisms by which they adapt to environmental changes. At the same time, we will also assess the impact of aerobic starvation on microbial phosphorus removal capabilities, which is crucial for improving sludge bulking control strategies and enhancing the efficiency of wastewater treatment.The research outcomes will not only enhance our understanding of the microbial ecology of sludge bulking but also are expected to provide a scientific basis for the development of new sludge bulking control technologies and the improvement of the operational efficiency of wastewater treatment plants. By optimizing sludge bulking control processes, we can more effectively manage microbial communities in the wastewater treatment process, thereby achieving more sustainable and cost-effective wastewater treatment.
本项目旨在借助基因组测序(genomic sequencing)与比较分析技术,针对好氧饥饿条件对污泥膨胀(sludge bulking)系统内微生物群落结构与功能的影响开展深度研究。污泥膨胀是污水处理过程中常见的技术难题,而好氧饥饿作为一种环境胁迫因子,可显著影响微生物代谢活动与群落结构。本研究计划采用高通量测序(high-throughput sequencing)技术,对经不同时长好氧饥饿处理的微生物样本开展精细化基因组测序,并对比分析不同样本间的基因表达与功能变化差异。通过本研究,我们期望阐明好氧饥饿对微生物群落结构与功能的具体作用,尤其识别出与污泥膨胀相关且在好氧饥饿条件下发生变化的微生物类群,并探究其适应环境变化的内在机理。与此同时,本研究还将评估好氧饥饿对微生物除磷能力的影响,该评估结果对于优化污泥膨胀调控策略、提升污水处理效率具有重要意义。本研究成果不仅可加深我们对污泥膨胀微生物生态学的认知,还可为新型污泥膨胀调控技术的研发以及污水处理厂运行效率的提升提供科学依据。通过优化污泥膨胀调控流程,我们能够更有效地管控污水处理过程中的微生物群落,进而实现更具可持续性与成本效益的污水处理目标。
创建时间:
2025-03-17



