Dairybiota: analysing the microbiota of the dairy chain using next generation sequencing

Show simple item record

dc.contributor.advisor O'Toole, Paul W. en
dc.contributor.advisor Cotter, Paul en
dc.contributor.author Doyle, Conor J.
dc.date.accessioned 2018-02-20T13:36:35Z
dc.date.available 2018-02-20T13:36:35Z
dc.date.issued 2017
dc.date.submitted 2017
dc.identifier.citation Doyle, C. 2017. Dairybiota: analysing the microbiota of the dairy chain using next generation sequencing. PhD Thesis, University College Cork. en
dc.identifier.endpage 245 en
dc.identifier.uri http://hdl.handle.net/10468/5524
dc.description.abstract Advances in DNA sequencing technologies, accompanied with developments in data analysis and interpretation, have provided novel insights into to the microbial ecology of foods and food production environments. By utilising these advances in technology, it is possible to overcome the biases associated with culture-based analysis. This has been achieved by targeting the metagenomic DNA of these environments using high-throughput sequencing (HTS). In this thesis, HTS was utilised to provide insights into factors which influence the microbial composition of raw milk, and reveal potential environmental sources of bacteria in the dairy chain. Firstly, a literature review explores the recent insights gained from applying HTS to study the microbial ecology of food production chains. Additionally, a second literature review focuses on sulphite reducing Clostridia (SRC), their taxonomy, toxigenicity and the prevalence in which they are detected in dairy products. The first research study focused on applying HTS to characterise the microbiota of blended raw bulk tank milk (BTM) stored at different temperatures at both mid and late-lactation. This highlighted that lactation stage had more of a significant impact on the raw milk microbiota compared to storage temperature. After this, in a second study, on-farm environmental niches were explored as possible reservoirs for bacteria to contaminate raw milk. Raw milk samples were collected from individual cows and from BTM, both when cows were housed indoors and when cows were grazing on pasture. Additionally, faecal and teat swab samples were collected from these cows over both periods, as well as environmental niches from both the indoor and outdoor habitats. Results from this study highlight that herd habitat drives the microbial composition of raw milk. In a subsequent investigation, shotgun metagenomic sequencing was employed to explore the cheese production microbiome for the presence of bacteria and phage, and this approach also facilitated strain level characterisation of starter bacteria. Production plant surfaces were found to harbour resident lactic acid bacteria and brine was identified as a potential reservoir for lactococcal phage. In a final study, whole genome sequencing and in-silico genome characterisation were used to determine the genes responsible for the SRC phenotype in dairy associated SRCs. Genome annotation facilitated the identification of two distinct pathways involved in the reduction of sulphite to sulphide in dairy associated isolates, asrABC mediated reduction in SRCs and cysJI mediated reduction in other sulphite reducing bacteria (SRBs). Ultimately this thesis will show that HTS can be a valuable tool for characterising the microbiota of food products and food production environments. en
dc.description.sponsorship Teagasc (Walsh Fellowship 2013 030) en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher University College Cork en
dc.rights © 2017, Conor Doyle. en
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/ en
dc.subject Microbiome en
dc.subject DNA sequencing en
dc.subject Source tracking en
dc.subject Food chain en
dc.subject Clostridium en
dc.subject Genomics en
dc.subject Metagenomics en
dc.subject Metagenostics en
dc.title Dairybiota: analysing the microbiota of the dairy chain using next generation sequencing en
dc.type Doctoral thesis en
dc.type.qualificationlevel Doctoral en
dc.type.qualificationname PhD (Science) en
dc.internal.availability Full text available en
dc.check.info No embargo required en
dc.description.version Accepted Version
dc.contributor.funder Teagasc en
dc.description.status Not peer reviewed en
dc.internal.school Microbiology en
dc.internal.school Teagasc en
dc.check.type No Embargo Required
dc.check.reason No embargo required en
dc.check.opt-out Not applicable en
dc.thesis.opt-out false
dc.check.embargoformat Not applicable en
ucc.workflow.supervisor pwotoole@ucc.ie
dc.internal.conferring Spring 2018 en

Files in this item

This item appears in the following Collection(s)

Show simple item record

© 2017, Conor Doyle. Except where otherwise noted, this item's license is described as © 2017, Conor Doyle.
This website uses cookies. By using this website, you consent to the use of cookies in accordance with the UCC Privacy and Cookies Statement. For more information about cookies and how you can disable them, visit our Privacy and Cookies statement