TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data
The human microbiome is a complex community of microorganisms, their enzymes, and the molecules they produce or modify. Recent studies show that imbalances in human microbial ecosystems can cause disease. Our microbiome affects our health through the products of biochemical reactions catalyzed by mi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Metabolites |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2218-1989/12/2/119 |
| _version_ | 1797478132764114944 |
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| author | Donghui Yan Liu Cao Muqing Zhou Hosein Mohimani |
| author_facet | Donghui Yan Liu Cao Muqing Zhou Hosein Mohimani |
| author_sort | Donghui Yan |
| collection | DOAJ |
| description | The human microbiome is a complex community of microorganisms, their enzymes, and the molecules they produce or modify. Recent studies show that imbalances in human microbial ecosystems can cause disease. Our microbiome affects our health through the products of biochemical reactions catalyzed by microbial enzymes (microbial biotransformations). Despite their significance, currently, there are no systematic strategies for identifying these chemical reactions, their substrates and molecular products, and their effects on health and disease. We present TransDiscovery, a computational algorithm that integrates molecular networks (connecting related molecules with similar mass spectra), association networks (connecting co-occurring molecules and microbes) and knowledge bases of microbial enzymes to discover microbial biotransformations, their substrates, and their products. After searching the metabolomics and metagenomics data from the American Gut Project and the Global Foodomic Project, TranDiscovery identified 17 potentially novel biotransformations from the human gut microbiome, along with the corresponding microbial species, substrates, and products. |
| first_indexed | 2024-03-09T21:27:38Z |
| format | Article |
| id | doaj.art-80c210efc87e430fb4dd282669bb016b |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T21:27:38Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-80c210efc87e430fb4dd282669bb016b2023-11-23T21:04:43ZengMDPI AGMetabolites2218-19892022-01-0112211910.3390/metabo12020119TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic DataDonghui Yan0Liu Cao1Muqing Zhou2Hosein Mohimani3Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USAComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USAComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USAComputational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USAThe human microbiome is a complex community of microorganisms, their enzymes, and the molecules they produce or modify. Recent studies show that imbalances in human microbial ecosystems can cause disease. Our microbiome affects our health through the products of biochemical reactions catalyzed by microbial enzymes (microbial biotransformations). Despite their significance, currently, there are no systematic strategies for identifying these chemical reactions, their substrates and molecular products, and their effects on health and disease. We present TransDiscovery, a computational algorithm that integrates molecular networks (connecting related molecules with similar mass spectra), association networks (connecting co-occurring molecules and microbes) and knowledge bases of microbial enzymes to discover microbial biotransformations, their substrates, and their products. After searching the metabolomics and metagenomics data from the American Gut Project and the Global Foodomic Project, TranDiscovery identified 17 potentially novel biotransformations from the human gut microbiome, along with the corresponding microbial species, substrates, and products.https://www.mdpi.com/2218-1989/12/2/119biotransformationassociation networkmolecular networkmass spectrometrymetagenomicsmicrobiome |
| spellingShingle | Donghui Yan Liu Cao Muqing Zhou Hosein Mohimani TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data Metabolites biotransformation association network molecular network mass spectrometry metagenomics microbiome |
| title | TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data |
| title_full | TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data |
| title_fullStr | TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data |
| title_full_unstemmed | TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data |
| title_short | TransDiscovery: Discovering Biotransformation from Human Microbiota by Integrating Metagenomic and Metabolomic Data |
| title_sort | transdiscovery discovering biotransformation from human microbiota by integrating metagenomic and metabolomic data |
| topic | biotransformation association network molecular network mass spectrometry metagenomics microbiome |
| url | https://www.mdpi.com/2218-1989/12/2/119 |
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