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Fecal Virome Transplantation is Sufficient to Alter Fecal Microbiota and Drive Lean and Obese Body Phenotypes in Mice

Overview
Journal Gut Microbes
Date 2023 Jul 21
PMID 37475473
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Abstract

The gastrointestinal microbiome plays a significant role in modulating numerous host processes, including metabolism. Prior studies show that when mice receive fecal transplants from obese donors on high-fat diets (HFD) (even when recipient mice are fed normal diets after transplantation), they develop obese phenotypes, demonstrating the prominent role that gut microbiota play in determining lean and obese phenotypes. While much of the credit has been given to gut bacteria, the impact of gut viruses on these phenotypes is understudied. To address this shortcoming, we gavaged mice with viromes isolated from donors fed HFD or normal chow over a 4-week study. By characterizing the gut bacterial biota via 16S rRNA amplicon sequencing and measuring mouse weights over time, we demonstrate that transplanted viruses affect the gut bacterial community, as well as weight gain/loss. Notably, mice fed chow but gavaged with HFD-derived viromes gained more weight than their counterparts receiving chow-derived viromes. The converse was also true: mice fed HFD but gavaged with chow-derived viromes gained less weight than their counterparts receiving HFD-derived viromes. Results were replicated in two independent experiments and phenotypic changes were accompanied by significant and identifiable differences in the fecal bacterial biota. Due to methodological limitations, we were unable to identify the specific bacterial strains responsible for respective phenotypic changes. This study confirms that virome-mediated perturbations can alter the fecal microbiome and indicates that such perturbations are sufficient to drive lean and obese phenotypes in mice.

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References
1.
Klindworth A, Pruesse E, Schweer T, Peplies J, Quast C, Horn M . Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies. Nucleic Acids Res. 2012; 41(1):e1. PMC: 3592464. DOI: 10.1093/nar/gks808. View

2.
Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S . DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3. PMC: 4927377. DOI: 10.1038/nmeth.3869. View

3.
Carlson A, Xia K, Azcarate-Peril M, Goldman B, Ahn M, Styner M . Infant Gut Microbiome Associated With Cognitive Development. Biol Psychiatry. 2017; 83(2):148-159. PMC: 5724966. DOI: 10.1016/j.biopsych.2017.06.021. View

4.
Hsu B, Gibson T, Yeliseyev V, Liu Q, Lyon L, Bry L . Dynamic Modulation of the Gut Microbiota and Metabolome by Bacteriophages in a Mouse Model. Cell Host Microbe. 2019; 25(6):803-814.e5. PMC: 6579560. DOI: 10.1016/j.chom.2019.05.001. View

5.
Martino C, Morton J, Marotz C, Thompson L, Tripathi A, Knight R . A Novel Sparse Compositional Technique Reveals Microbial Perturbations. mSystems. 2019; 4(1). PMC: 6372836. DOI: 10.1128/mSystems.00016-19. View