A metagenomics analysis of rumen microbiome

Paul Walsh, Cintia Palu, Brian Kelly, Brendan Lawor, Jyotsna Talreja Wassan, Huiru Zheng, Haiying / HY Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Climate change and food security are significant global challenges facing society. The dairy industry is inextricably linked to these challenges as it is concerned with the economies of food production, while acknowledging that it is a major contributor to greenhouse gas production. Action by microbial communities in the rumen is responsible for efficient breakdown of plant matter for food conversion, but a by-product of this action is substantial methane production. Insight into food conversion and methane production in rumen microbiota is possible through metagenomics analysis, which is the analysis of microbial communities and their interactions with the environment. However, metagenomic analysis is hampered by the sheer volume and complexity of data that needs to be processed. This paper presents a bioinformatics pipeline and visualisation platform that facilitates deep analysis of microbial communities, under various conditions in cattle rumen, with the aim of leading to significant impact on probiotic supplement usage, methane production and feed conversion efficiency. This pipeline was developed as part of the EU H2020 MetaPlat project and will pave the way for a more optimal usage of metagenomic datasets, thus reducing the number of animals necessary to be engaged in such studies. This will ensure better and more economic animal welfare, better use of resources and lessen the impact of the dairy industry on climate change.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages2077-2082
Number of pages6
DOIs
Publication statusE-pub ahead of print - 18 Dec 2017
Event2017 IEEE International Conference on Bioinformatics and Biomedicine - Kansas City, MO, USA
Duration: 18 Dec 2017 → …

Conference

Conference2017 IEEE International Conference on Bioinformatics and Biomedicine
Period18/12/17 → …

Fingerprint

methane production
microbial communities
rumen
food conversion
dairy industry
climate change
gas production (biological)
greenhouse gases
food production
food security
bioinformatics
animal welfare
probiotics
feed conversion
economics
cattle
microbiome
animals

Keywords

  • Metagenomics
  • cattle rumen
  • visualisation
  • classification
  • cloud architecture

Cite this

Walsh, P., Palu, C., Kelly, B., Lawor, B., Wassan, J. T., Zheng, H., & Wang, H. . HY. (2017). A metagenomics analysis of rumen microbiome. In Unknown Host Publication (pp. 2077-2082) https://doi.org/10.1109/BIBM.2017.8217980
Walsh, Paul ; Palu, Cintia ; Kelly, Brian ; Lawor, Brendan ; Wassan, Jyotsna Talreja ; Zheng, Huiru ; Wang, Haiying / HY. / A metagenomics analysis of rumen microbiome. Unknown Host Publication. 2017. pp. 2077-2082
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Walsh, P, Palu, C, Kelly, B, Lawor, B, Wassan, JT, Zheng, H & Wang, HHY 2017, A metagenomics analysis of rumen microbiome. in Unknown Host Publication. pp. 2077-2082, 2017 IEEE International Conference on Bioinformatics and Biomedicine, 18/12/17. https://doi.org/10.1109/BIBM.2017.8217980

A metagenomics analysis of rumen microbiome. / Walsh, Paul; Palu, Cintia; Kelly, Brian; Lawor, Brendan; Wassan, Jyotsna Talreja; Zheng, Huiru; Wang, Haiying / HY.

Unknown Host Publication. 2017. p. 2077-2082.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Walsh P, Palu C, Kelly B, Lawor B, Wassan JT, Zheng H et al. A metagenomics analysis of rumen microbiome. In Unknown Host Publication. 2017. p. 2077-2082 https://doi.org/10.1109/BIBM.2017.8217980