Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.wasman.2017.10.007
Title: Monitoring of microbial communities in anaerobic digestion sludge for biogas optimisation
Authors: Lim, Jun Wei 
Ge, Tianshu
Tong, Yen Wah 
Keywords: Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Environmental
Environmental Sciences
Engineering
Environmental Sciences & Ecology
Anaerobic digestion sludge
Clone library
Pyrosequencing
Terminal restriction fragment length polymorphism
FRAGMENT-LENGTH-POLYMORPHISM
16S RIBOSOMAL-RNA
DIVERSITY
GENES
SEQUENCES
TOOL
Issue Date: 1-Jan-2018
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Citation: Lim, Jun Wei, Ge, Tianshu, Tong, Yen Wah (2018-01-01). Monitoring of microbial communities in anaerobic digestion sludge for biogas optimisation. WASTE MANAGEMENT 71 : 334-341. ScholarBank@NUS Repository. https://doi.org/10.1016/j.wasman.2017.10.007
Abstract: © 2017 Elsevier Ltd This study characterised and compared the microbial communities of anaerobic digestion (AD) sludge using three different methods – (1) Clone library; (2) Pyrosequencing; and (3) Terminal restriction fragment length polymorphism (T-RFLP). Although high-throughput sequencing techniques are becoming increasingly popular and affordable, the reliance of such techniques for frequent monitoring of microbial communities may be a financial burden for some. Furthermore, the depth of microbial analysis revealed by high-throughput sequencing may not be required for monitoring purposes. This study aims to develop a rapid, reliable and economical approach for the monitoring of microbial communities in AD sludge. A combined approach where genetic information of sequences from clone library was used to assign phylogeny to T-RFs determined experimentally was developed in this study. In order to assess the effectiveness of the combined approach, microbial communities determined by the combined approach was compared to that characterised by pyrosequencing. Results showed that both pyrosequencing and clone library methods determined the dominant bacteria phyla to be Proteobacteria, Firmicutes, Bacteroidetes, and Thermotogae. Both methods also found that sludge A and B were predominantly dominated by acetogenic methanogens followed by hydrogenotrophic methanogens. The number of OTUs detected by T-RFLP was significantly lesser than that detected by the clone library. In this study, T-RFLP analysis identified majority of the dominant species of the archaeal consortia. However, many of the more highly diverse bacteria consortia were missed. Nevertheless, the combined approach developed in this study where clone sequences from the clone library were used to assign phylogeny to T-RFs determined experimentally managed to accurately predict the same dominant microbial groups for both sludge A and sludge B, as compared to the pyrosequencing results. Results showed that the combined approach of clone library and T-RFLP accurately predicted the dominant microbial groups and thus is a reliable and more economical way to monitor the evolution of microbial systems in AD sludge.
Source Title: WASTE MANAGEMENT
URI: https://scholarbank.nus.edu.sg/handle/10635/155048
ISSN: 0956-053X
1879-2456
DOI: 10.1016/j.wasman.2017.10.007
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