Mouse Gut Microbiome-Encoded β-Glucuronidases Identified Using Metagenome Analysis Guided by Protein Structure

Author:

Creekmore Benjamin C.1,Gray Josh H.1ORCID,Walton William G.1,Biernat Kristen A.1,Little Michael S.1,Xu Yongmei2,Liu Jian2,Gharaibeh Raad Z.3,Redinbo Matthew R.1456ORCID

Affiliation:

1. Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

2. Chemical Biology and Medicinal Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

3. Department of Medicine, University of Florida, Gainesville, Florida, USA

4. Department of Biochemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

5. Department of Microbiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

6. Integrated Program in Biological and Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

Abstract

Mice are commonly employed as model organisms of mammalian disease; as such, our understanding of the compositions of their gut microbiomes is critical to appreciating how the mouse and human gastrointestinal tracts mirror one another. GUS enzymes, with importance in normal physiology and disease, are an attractive set of proteins to use for such analyses. Here we show that while the specific GUS enzymes differ at the sequence level, a core GUSome functionality appears conserved between mouse and human gastrointestinal bacteria. Mouse strain, provider, housing location, and diet exhibit distinct GUSomes and gus gene compositions, but sex seems not to affect the GUSome. These data provide a basis for understanding the gut microbial GUS enzymes present in commonly used laboratory mice. Further, they demonstrate the utility of metagenome analysis guided by protein structure to provide specific sets of functionally related proteins from whole-genome metagenome sequencing data.

Funder

National Institutes of Health

HHS | National Institutes of Health

UNC | University of North Carolina at Chapel Hill

UF | University of Florida Health

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modelling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

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