期刊
JOURNAL OF MICROBIOLOGICAL METHODS
卷 135, 期 -, 页码 69-76出版社
ELSEVIER
DOI: 10.1016/j.mimet.2017.01.016
关键词
NextGen sequencing; 16S rRNA; QIIME; PICRUSt; Pathogens
资金
- UAB Institutional Animal Care and Use Committee
- Comprehensive Cancer Center [P30AR050948]
- Center for Clinical Translational Science [UL1 TR001417]
- Center for AIDS Research [5P30AI027767]
- UAB NORC [NIH P30DK056336]
In this study, we report the gut microbial composition and predictive functional profiles of zebrafish, Danio rerio, fed with a control formulated diet (CFD), and a gluten formulated diet (GFD) using a metagenomics approach and bioinformatics tools. The microbial communities of the GFD-fed D. rerio displayed heightened abundances of Legionellales, Rhizobiaceae, and Rhodobacter, as compared to the CFD-fed counterparts. Predicted metagenomics of microbial communities (PICRUSt) in GFD-fed D. rerio showed KEGG functional categories corresponding to bile secretion, secondary bile acid biosynthesis, and the metabolism of glycine, serine, and threonine. The CFD-fed D. rerio exhibited KEGG functional categories of bacteria-mediated cobalamin biosynthesis, which was supported by the presence of cobalamin synthesizers such as Bacteroides and Lactobacillus. Though these bacteria were absent in GFD-fed D. rerio, a comparable level of the cobalamin biosynthesis KEGG functional category was observed, which could be contributed by the compensatory enrichment of Cetobacterium. Based on these results, we conclude D. rerio to be a suitable alternative animal model for the use of a targeted metagenomics approach along with bioinformatics tools to further investigate the relationship between the gluten diet and microbiome profile in the gut ecosystem leading to gastrointestinal diseases and other undesired adverse health effects. (C) 2017 Published by-Elsevier B.V.
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