Show simple item record

dc.contributor.advisorAbram, Florence
dc.contributor.advisorO'Flaherty, Vincent
dc.contributor.authorJoyce, Aoife
dc.date.accessioned2016-08-24T10:15:58Z
dc.date.available2016-08-24T10:15:58Z
dc.date.issued2016-08-18
dc.identifier.urihttp://hdl.handle.net/10379/5989
dc.description.abstractAnaerobic digestion (AD) of feedstocks, such as grass and food waste, presents a sustainable and cost efficient technology for the generation of bioenergy and value added products. However, to fully optimize the process, the microbial communities involved and their functional roles must be understood. Mixed microbial AD sample analysis requires a robust methodological framework for investigation of community structure and function. The objective of this thesis was, firstly, to develop a successful co-extraction methodology to recover nucleic acids and proteins from AD bioreactors treating grass and food waste for 16S rRNA analysis and metaproteomics analyses. Methods for sample preparation, cell lysis, protein extraction and separation were investigated. Once a metaproteomic workflow was established, a co-extraction methodology was developed for both grass AD and food waste AD samples. The established co-extraction workflow using the Norgen Biotek kit was employed to analyse DNA, RNA and protein from grass biofilm and leachate fractions of triplicate leach-bed grass anaerobic bioreactors. The combined 16S rRNA analysis and metaproteomics revealed the microbial structure of the triplicate bioreactors and their microbial functions. Clostridiales, Bacteroidales and Prevotella were involved in grass degradation, the production of methane was mainly attributed to Methanosarcinales, while Prevotella, Megasphaera, Clostridiales, Bacteroides, Azotobacter and Dysogonomas were responsible for VFA production. A metaproteomic approach was also employed in the context of food AD, where digestate fractions of triplicate bioreactors were sampled as a function of time. Previous 16S rRNA analysis had revealed community shifts during the reactor trial, and a functional-based approach was employed to investigate the metabolic activities taking place throughout the reactor run (3 time-points). The majority of proteins identified were assigned to Lactobacillales, while Enterobacteriales were mainly responsible for food waste hydrolysis. There was no evidence of methane production, however proteins were identified for the production of acetate, butyrate and propionate, which was in agreement with process observations. Overall, the workflow established and integrated analysis employed in this research uncovered the community structure and function of grass AD and food waste AD. The metabolic activities of the microbial communities supported the observations at the process level. Microorganisms responsible for the degradation of substrates were uncovered, while those involved in the production of end-products were also identified. This work provides a platform for process optimization, whereby enrichment strategies could be employed to favour the growth of key players in the process, encompassing bioaugmentation approaches and tailoring of environmental conditions.en_IE
dc.subjectAnaerobic Digestionen_IE
dc.subject16S rRNA deep sequencingen_IE
dc.subjectMetaproteomicsen_IE
dc.subjectCommunity analysisen_IE
dc.subjectMicrobiologyen_IE
dc.titleInvestigation of microbial community structure and function underpinning grass and food waste anaerobic digestionen_IE
dc.typeThesisen_IE
dc.contributor.funderPTRLI - Cycle 5en_IE
dc.local.noteThis work involved the establishment of a workflow to investigate DNA, RNA and protein fractions from grass and food waste anaerobic digestion samples to allow for an insight into the microorganisms that were present, active and functioning at the time of sampling. By understanding the microbial structure and function, the anaerobic digestion process can be further optimized for the production of bioenergy and value added products.en_IE
dc.local.finalYesen_IE
nui.item.downloads705


Files in this item

Attribution-NonCommercial-NoDerivs 3.0 Ireland
This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. Please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

The following license files are associated with this item:

Thumbnail

This item appears in the following Collection(s)

Show simple item record