Diet Is a Stronger Covariate than Exercise in Determining Gut Microbial Richness and Diversity.

16S rRNA amplicon sequencing QIIME 2 high-fat diet microbiota diversity and richness mouse gut microbiome next-generation sequencing (NGS) treadmill exercise

Journal

Nutrients
ISSN: 2072-6643
Titre abrégé: Nutrients
Pays: Switzerland
ID NLM: 101521595

Informations de publication

Date de publication:
16 Jun 2022
Historique:
received: 02 05 2022
revised: 11 06 2022
accepted: 14 06 2022
entrez: 24 6 2022
pubmed: 25 6 2022
medline: 28 6 2022
Statut: epublish

Résumé

Obesity is a common metabolic disorder caused by a sedentary lifestyle, and a high-fat and a high-glucose diet in the form of fast foods. High-fat diet-induced obesity is a major cause of diabetes and cardiovascular diseases, whereas exercise and physical activity can ameliorate these disorders. Moreover, exercise and the gut microbiota are known to be interconnected, since exercise can increase the gut microbial diversity and contribute to the beneficial health effects. In this context, we analyzed the effect of diet and exercise on the gut microbiota of mice, by next-generation sequencing of the bacterial V4 region of 16S rRNA. Briefly, mice were divided into four groups: chow-diet (CD), high-fat diet (HFD), high-fat diet + exercise (HFX), and exercise-only (EX). The mice underwent treadmill exercise and diet intervention for 8 weeks, followed by the collection of their feces and DNA extraction for sequencing. The data were analyzed using the QIIME 2 bioinformatics platform and R software to assess their gut microbial composition, richness, and diversity. The Bacteroidetes to Firmicutes ratio was found to be decreased manifold in the HFD and HFX groups compared to the CD and EX groups. The gut microbial richness was comparatively lower in the HFD and HFX groups and higher in the CD and EX groups (ACE, Chao1, and observed OTUs). However, the Shannon alpha diversity index was higher in the HFD and HFX groups than in the CD and EX groups. The beta diversity based on Jaccard, Bray-Curtis, and weighted UniFrac distance metrics was significant among the groups, as measured by PERMANOVA.

Identifiants

pubmed: 35745235
pii: nu14122507
doi: 10.3390/nu14122507
pmc: PMC9229834
pii:
doi:

Substances chimiques

RNA, Ribosomal, 16S 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Eon-Joo Yun (EJ)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.

Saba Imdad (S)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.
Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju 28503, Korea.

Junho Jang (J)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.

Jinhan Park (J)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.

Byunghun So (B)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.

Jin-Hee Kim (JH)

Department of Biomedical Laboratory Science, College of Health Science, Cheongju University, Cheongju 28503, Korea.

Chounghun Kang (C)

Molecular Metabolism in Health & Disease, Exercise Physiology Laboratory, Sport Science Research Institute, Inha University, Incheon 22212, Korea.
Department of Physical Education, College of Education, Inha University, Incheon 22212, Korea.

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