Ecology-guided prediction of cross-feeding interactions in the human gut microbiome
Understanding a complex microbial ecosystem such as the human gut microbiome requires information about both microbial species and the metabolites they produce and secrete. Here, the authors propose an ecology-based computational method to predict hundreds of new experimentally untested cross-feedin...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-02-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-21586-6 |
Summary: | Understanding a complex microbial ecosystem such as the human gut microbiome requires information about both microbial species and the metabolites they produce and secrete. Here, the authors propose an ecology-based computational method to predict hundreds of new experimentally untested cross-feeding interactions in the human gut microbiome. |
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ISSN: | 2041-1723 |