Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria

ABSTRACTThe prevalence and occurrence of mucin-degrading (MD) bacteria, such as Akkermansia muciniphila and Ruminococcus gnavus, is highly associated with human health and disease states. However, MD bacterial physiology and metabolism remain elusive. Here, we assessed functional modules of mucin ca...

Full description

Bibliographic Details
Main Authors: Kyoung Su Kim, Eunike Tiffany, Ji-Young Lee, Ara Oh, Hyeon-Su Jin, Ji-Sun Kim, Jung-Sook Lee, Myung Hee Nam, Soo-Jong Hong, Sowon Park, Hong Koh, Bong-Soo Kim, Yun Kyung Lee, Dong-Woo Lee
Format: Article
Language:English
Published: Taylor & Francis Group 2023-12-01
Series:Gut Microbes
Subjects:
Online Access:https://www.tandfonline.com/doi/10.1080/19490976.2023.2221811
_version_ 1827303739538538496
author Kyoung Su Kim
Eunike Tiffany
Ji-Young Lee
Ara Oh
Hyeon-Su Jin
Ji-Sun Kim
Jung-Sook Lee
Myung Hee Nam
Soo-Jong Hong
Sowon Park
Hong Koh
Bong-Soo Kim
Yun Kyung Lee
Dong-Woo Lee
author_facet Kyoung Su Kim
Eunike Tiffany
Ji-Young Lee
Ara Oh
Hyeon-Su Jin
Ji-Sun Kim
Jung-Sook Lee
Myung Hee Nam
Soo-Jong Hong
Sowon Park
Hong Koh
Bong-Soo Kim
Yun Kyung Lee
Dong-Woo Lee
author_sort Kyoung Su Kim
collection DOAJ
description ABSTRACTThe prevalence and occurrence of mucin-degrading (MD) bacteria, such as Akkermansia muciniphila and Ruminococcus gnavus, is highly associated with human health and disease states. However, MD bacterial physiology and metabolism remain elusive. Here, we assessed functional modules of mucin catabolism, through a comprehensive bioinformatics-aided functional annotation, to identify 54 A. muciniphila genes and 296 R. gnavus genes. The reconstructed core metabolic pathways coincided with the growth kinetics and fermentation profiles of A. muciniphila and R. gnavus grown in the presence of mucin and its constituents. Genome-wide multi-omics analyses validated the nutrient-dependent fermentation profiles of the MD bacteria and identified their distinct mucolytic enzymes. The distinct metabolic features of the two MD bacteria induced differences in the metabolite receptor levels and inflammatory signals of the host immune cells. In addition, in vivo experiments and community-scale metabolic modeling demonstrated that different dietary intakes influenced the abundance of MD bacteria, their metabolic fluxes, and gut barrier integrity. Thus, this study provides insights into how diet-induced metabolic differences in MD bacteria determine their distinct physiological roles in the host immune response and the gut ecosystem.
first_indexed 2024-03-11T14:20:31Z
format Article
id doaj.art-8ac1ee5a11ef4b51ae0cd6ceb2e3845d
institution Directory Open Access Journal
issn 1949-0976
1949-0984
language English
last_indexed 2024-04-24T17:07:26Z
publishDate 2023-12-01
publisher Taylor & Francis Group
record_format Article
series Gut Microbes
spelling doaj.art-8ac1ee5a11ef4b51ae0cd6ceb2e3845d2024-03-28T22:38:20ZengTaylor & Francis GroupGut Microbes1949-09761949-09842023-12-0115110.1080/19490976.2023.2221811Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteriaKyoung Su Kim0Eunike Tiffany1Ji-Young Lee2Ara Oh3Hyeon-Su Jin4Ji-Sun Kim5Jung-Sook Lee6Myung Hee Nam7Soo-Jong Hong8Sowon Park9Hong Koh10Bong-Soo Kim11Yun Kyung Lee12Dong-Woo Lee13Department of Biotechnology, Yonsei University, Seoul, Republic of KoreaDepartment of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science, Soonchunhyang University, Cheonan, Republic of KoreaDepartment of Biotechnology, Yonsei University, Seoul, Republic of KoreaDepartment of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science, Soonchunhyang University, Cheonan, Republic of KoreaDepartment of Biotechnology, Yonsei University, Seoul, Republic of KoreaKorean Collection for Type Cultures, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, Republic of KoreaKorean Collection for Type Cultures, Korea Research Institute of Bioscience and Biotechnology (KRIBB), Jeongeup, Republic of KoreaSeoul Center, Korea Basic Science Institute, Seoul, Republic of KoreaDepartment of Pediatrics, Childhood Asthma Atopy Center, Humidifier Disinfectant Health Center, University of Ulsan College of Medicine, Seoul, Republic of KoreaDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of KoreaDepartment of Life Science, Hallym University, Chuncheon, Republic of KoreaDepartment of Integrated Biomedical Science, Soonchunhyang Institute of Medi-Bio Science, Soonchunhyang University, Cheonan, Republic of KoreaDepartment of Biotechnology, Yonsei University, Seoul, Republic of KoreaABSTRACTThe prevalence and occurrence of mucin-degrading (MD) bacteria, such as Akkermansia muciniphila and Ruminococcus gnavus, is highly associated with human health and disease states. However, MD bacterial physiology and metabolism remain elusive. Here, we assessed functional modules of mucin catabolism, through a comprehensive bioinformatics-aided functional annotation, to identify 54 A. muciniphila genes and 296 R. gnavus genes. The reconstructed core metabolic pathways coincided with the growth kinetics and fermentation profiles of A. muciniphila and R. gnavus grown in the presence of mucin and its constituents. Genome-wide multi-omics analyses validated the nutrient-dependent fermentation profiles of the MD bacteria and identified their distinct mucolytic enzymes. The distinct metabolic features of the two MD bacteria induced differences in the metabolite receptor levels and inflammatory signals of the host immune cells. In addition, in vivo experiments and community-scale metabolic modeling demonstrated that different dietary intakes influenced the abundance of MD bacteria, their metabolic fluxes, and gut barrier integrity. Thus, this study provides insights into how diet-induced metabolic differences in MD bacteria determine their distinct physiological roles in the host immune response and the gut ecosystem.https://www.tandfonline.com/doi/10.1080/19490976.2023.2221811Mucin-degrading bacteriagenome annotationnutrient-dependent fermentationhost immune responsethe gut ecosystem
spellingShingle Kyoung Su Kim
Eunike Tiffany
Ji-Young Lee
Ara Oh
Hyeon-Su Jin
Ji-Sun Kim
Jung-Sook Lee
Myung Hee Nam
Soo-Jong Hong
Sowon Park
Hong Koh
Bong-Soo Kim
Yun Kyung Lee
Dong-Woo Lee
Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
Gut Microbes
Mucin-degrading bacteria
genome annotation
nutrient-dependent fermentation
host immune response
the gut ecosystem
title Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
title_full Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
title_fullStr Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
title_full_unstemmed Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
title_short Genome-wide multi-omics analysis reveals the nutrient-dependent metabolic features of mucin-degrading gut bacteria
title_sort genome wide multi omics analysis reveals the nutrient dependent metabolic features of mucin degrading gut bacteria
topic Mucin-degrading bacteria
genome annotation
nutrient-dependent fermentation
host immune response
the gut ecosystem
url https://www.tandfonline.com/doi/10.1080/19490976.2023.2221811
work_keys_str_mv AT kyoungsukim genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT euniketiffany genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT jiyounglee genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT araoh genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT hyeonsujin genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT jisunkim genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT jungsooklee genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT myungheenam genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT soojonghong genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT sowonpark genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT hongkoh genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT bongsookim genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT yunkyunglee genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria
AT dongwoolee genomewidemultiomicsanalysisrevealsthenutrientdependentmetabolicfeaturesofmucindegradinggutbacteria