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利用单叠氮碘化丙啶结合实时荧光定量PCR和宏基因组学揭示污水处理系统中生物膜的活性微生物群落

Revealing the Viable Microbial Community of Biofilm in a Sewage Treatment System Using Propidium Monoazide Combined with Real-Time PCR and Metagenomics.

作者信息

Liang Jiayin, Zheng Xiangqun, Ning Tianyang, Wang Jiarui, Wei Xiaocheng, Tan Lu, Shen Feng

机构信息

Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, No. 31 Fukang Road, Nankai District, Tianjin 300191, China.

Key Laboratory of Rural Toilet and Sewage Treatment Technology, Ministry of Agriculture and Rural Affairs, No. 31 Fukang Road, Nankai District, Tianjin 300191, China.

出版信息

Microorganisms. 2024 Jul 23;12(8):1508. doi: 10.3390/microorganisms12081508.

DOI:10.3390/microorganisms12081508
PMID:39203351
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11356008/
Abstract

Microbial community composition, function, and viability are important for biofilm-based sewage treatment technologies. Most studies of microbial communities mainly rely on the total deoxyribonucleic acid (DNA) extracted from the biofilm. However, nucleotide materials released from dead microorganisms may interfere with the analysis of viable microorganisms and their metabolic potential. In this study, we developed a protocol to assess viability as well as viable community composition and function in biofilm in a sewage treatment system using propidium monoazide (PMA) coupled with real-time quantitative polymerase chain reaction (qPCR) and metagenomic technology. The optimal removal of PMA from non-viable cells was achieved by a PMA concentration of 4 μM, incubation in darkness for 5 min, and exposure for 5 min. Simultaneously, the detection limit can reach a viable bacteria proportion of 1%, within the detection concentration range of 10-10 CFU/mL (colony forming unit/mL), showing its effectiveness in removing interference from dead cells. Under the optimal conditions, the result of PMA-metagenomic sequencing revealed that 6.72% to 8.18% of non-viable microorganisms were influenced and the composition and relative abundance of the dominant genera were changed. Overall, this study established a fast, sensitive, and highly specific biofilm viability detection method, which could provide technical support for accurately deciphering the structural composition and function of viable microbial communities in sewage treatment biofilms.

摘要

微生物群落组成、功能及生存能力对于基于生物膜的污水处理技术十分重要。大多数关于微生物群落的研究主要依赖于从生物膜中提取的总脱氧核糖核酸(DNA)。然而,死微生物释放的核苷酸物质可能会干扰对活微生物及其代谢潜力的分析。在本研究中,我们开发了一种方案,使用单叠氮化丙锭(PMA)结合实时定量聚合酶链反应(qPCR)和宏基因组技术来评估污水处理系统中生物膜的生存能力以及活群落的组成和功能。通过4 μM的PMA浓度、在黑暗中孵育5分钟以及照射5分钟,可实现从非活细胞中最佳去除PMA。同时,检测限可达到1%的活细菌比例,在10-10 CFU/mL(菌落形成单位/毫升)的检测浓度范围内,显示出其在去除死细胞干扰方面的有效性。在最佳条件下,PMA-宏基因组测序结果表明,6.72%至8.18%的非活微生物受到影响,优势菌属的组成和相对丰度发生了变化。总体而言,本研究建立了一种快速、灵敏且高度特异的生物膜生存能力检测方法,可为准确解读污水处理生物膜中活微生物群落的结构组成和功能提供技术支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/82c262016a7c/microorganisms-12-01508-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/2cff91af8563/microorganisms-12-01508-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/8d81418035b5/microorganisms-12-01508-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/456979d9cb86/microorganisms-12-01508-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/50db31301b02/microorganisms-12-01508-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/6b71f84c5e66/microorganisms-12-01508-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/172a021cc665/microorganisms-12-01508-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/9af9f0d52f40/microorganisms-12-01508-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/b5fd4ffe65bb/microorganisms-12-01508-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/62f2ea8a6d72/microorganisms-12-01508-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/82c262016a7c/microorganisms-12-01508-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/2cff91af8563/microorganisms-12-01508-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/8d81418035b5/microorganisms-12-01508-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/456979d9cb86/microorganisms-12-01508-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/50db31301b02/microorganisms-12-01508-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/6b71f84c5e66/microorganisms-12-01508-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/172a021cc665/microorganisms-12-01508-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/9af9f0d52f40/microorganisms-12-01508-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/b5fd4ffe65bb/microorganisms-12-01508-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/62f2ea8a6d72/microorganisms-12-01508-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e843/11356008/82c262016a7c/microorganisms-12-01508-g010.jpg

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