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The microbial ecosystem of beer spoilage and souring: Competition and cooperation in the age of bioinformatics
- Date Issued:
- 2017
- Abstract/Description:
- The brewing industry generates $350 billion in revenue in the US annually, representing 1.9% of the gross domestic product. Spoilage is a persistent problem throughout production and distribution that causes economic loss, and is therefore meticulously avoided. Contrarily, artisanal sour beers are necessarily produced by a diverse variety of these spoilage organisms metabolically interacting in symbiosis as a microbial ecosystem. We sought to gain insight into factors driving assembly of microbial communities by testing a long-debated Darwinian hypothesis. A collection of community members were screened in co-culture and novel bioinformatics tools were developed to predict observed interactions. A fundamental understanding of these relationships is paramount to beer production and sets a precedent for the study of similar microbial communities that impact human health.
Title: | The microbial ecosystem of beer spoilage and souring: Competition and cooperation in the age of bioinformatics. |
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18 downloads |
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Name(s): |
Kettring, Andrew, Author Moore, Sean, Committee Chair Cole, Alexander, Committee Member Self, William, Committee Member University of Central Florida, Degree Grantor |
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Type of Resource: | text | |
Date Issued: | 2017 | |
Publisher: | University of Central Florida | |
Language(s): | English | |
Abstract/Description: | The brewing industry generates $350 billion in revenue in the US annually, representing 1.9% of the gross domestic product. Spoilage is a persistent problem throughout production and distribution that causes economic loss, and is therefore meticulously avoided. Contrarily, artisanal sour beers are necessarily produced by a diverse variety of these spoilage organisms metabolically interacting in symbiosis as a microbial ecosystem. We sought to gain insight into factors driving assembly of microbial communities by testing a long-debated Darwinian hypothesis. A collection of community members were screened in co-culture and novel bioinformatics tools were developed to predict observed interactions. A fundamental understanding of these relationships is paramount to beer production and sets a precedent for the study of similar microbial communities that impact human health. | |
Identifier: | CFE0007288 (IID), ucf:52147 (fedora) | |
Note(s): |
2017-12-01 M.S. Medicine, Biomedical Sciences Masters This record was generated from author submitted information. |
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Subject(s): | microbial ecology -- bioinformatics -- brewing | |
Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0007288 | |
Restrictions on Access: | public 2018-06-15 | |
Host Institution: | UCF |