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

Authors :
Liang, Jiayin
Zheng, Xiangqun
Ning, Tianyang
Wang, Jiarui
Wei, Xiaocheng
Tan, Lu
Shen, Feng
Source :
Microorganisms; Aug2024, Vol. 12 Issue 8, p1508, 18p
Publication Year :
2024

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<superscript>2</superscript>–10<superscript>8</superscript> 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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20762607
Volume :
12
Issue :
8
Database :
Complementary Index
Journal :
Microorganisms
Publication Type :
Academic Journal
Accession number :
179377863
Full Text :
https://doi.org/10.3390/microorganisms12081508