Abstract
Understanding the metabolic activity of a microbial community, at both the level of the individual microbe and the whole microbiome, provides fundamental biological, biochemical, and clinical insights into the nature of the microbial community and interactions with their hosts in health and disease. Here, we discuss a method to examine the expression of metabolic pathways in microbial communities using data from metatranscriptomic next-generation sequencing data. The methodology described here encompasses enzyme function annotation, differential enzyme expression and pathway enrichment analyses, and visualization of metabolic networks with differential enzyme expression levels.
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Acknowledgments
This work was supported through funding from the Natural Sciences and Engineering Research Council (RGPIN-2014-06664), and the University of Toronto’s Medicine by Design initiative which receives funding from the Canada First Research Excellence Fund. Computing resources were provided by the SciNet HPC Consortium. SciNet is funded by the Canada Foundation for Innovation under the auspices of Compute Canada, the Government of Ontario, Ontario Research Fund—Research Excellence, and the University of Toronto.
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Adeolu, M., Parkinson, J., Xiong, X. (2018). Analyzing Metabolic Pathways in Microbiomes. In: Beiko, R., Hsiao, W., Parkinson, J. (eds) Microbiome Analysis. Methods in Molecular Biology, vol 1849. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8728-3_18
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DOI: https://doi.org/10.1007/978-1-4939-8728-3_18
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