Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2018 Mar 19;84(7):e02475-17.
doi: 10.1128/AEM.02475-17. Print 2018 Apr 1.

Targeted Synthesis and Characterization of a Gene Cluster Encoding NAD(P)H-Dependent 3α-, 3β-, and 12α-Hydroxysteroid Dehydrogenases from Eggerthella CAG:298, a Gut Metagenomic Sequence

Affiliations

Targeted Synthesis and Characterization of a Gene Cluster Encoding NAD(P)H-Dependent 3α-, 3β-, and 12α-Hydroxysteroid Dehydrogenases from Eggerthella CAG:298, a Gut Metagenomic Sequence

Sean M Mythen et al. Appl Environ Microbiol. .

Abstract

Gut metagenomic sequences provide a rich source of microbial genes, the majority of which are annotated by homology or unknown. Genes and gene pathways that encode enzymes catalyzing biotransformation of host bile acids are important to identify in gut metagenomic sequences due to the importance of bile acids in gut microbiome structure and host physiology. Hydroxysteroid dehydrogenases (HSDHs) are pyridine nucleotide-dependent enzymes with stereospecificity and regiospecificity for bile acid and steroid hydroxyl groups. HSDHs have been identified in several protein families, including medium-chain and short-chain dehydrogenase/reductase families as well as the aldo-keto reductase family. These protein families are large and contain diverse functionalities, making prediction of HSDH-encoding genes difficult and necessitating biochemical characterization. We located a gene cluster in Eggerthella sp. CAG:298 predicted to encode three HSDHs (CDD59473, CDD59474, and CDD59475) and synthesized the genes for heterologous expression in Escherichia coli We then screened bile acid substrates against the purified recombinant enzymes. CDD59475 is a novel 12α-HSDH, and we determined that CDD59474 (3α-HSDH) and CDD59473 (3β-HSDH) constitute novel enzymes in an iso-bile acid pathway. Phylogenetic analysis of these HSDHs with other gut bacterial HSDHs and closest homologues in the database revealed predictable clustering of HSDHs by function and identified several likely HSDH sequences from bacteria isolated or sequenced from diverse mammalian and avian gut samples.IMPORTANCE Bacterial HSDHs have the potential to significantly alter the physicochemical properties of bile acids, with implications for increased/decreased toxicity for gut bacteria and the host. The generation of oxo-bile acids is known to inhibit host enzymes involved in glucocorticoid metabolism and may alter signaling through nuclear receptors such as farnesoid X receptor and G-protein-coupled receptor TGR5. Biochemical or similar approaches are required to fill in many gaps in our ability to link a particular enzymatic function with a nucleic acid or amino acid sequence. In this regard, we have identified a novel 12α-HSDH and a novel set of genes encoding an iso-bile acid pathway (3α-HSDH and 3β-HSDH) involved in epimerization and detoxification of harmful secondary bile acids.

Keywords: Eggerthella; bile acid; hydroxysteroid dehydrogenase; metagenome; targeted gene synthesis.

PubMed Disclaimer

Figures

FIG 1
FIG 1
SDS-PAGE of purified recombinant 3α-, 3β-, and 12α-hydroxysteroid dehydrogenases from a gene cluster in Eggerthella sp. CAG:298.
FIG 2
FIG 2
Representative TLC and ESI-IT-TOF-MS of bile acid reaction products from recombinant CDD59473 (a), CDD59474 (b), and CDD59475 (c). Standard reaction mixtures contained 50 μM bile acid substrates and 150 μM pyridine nucleotide, and experiments included a no-enzyme control. Reaction mixtures were incubated at 37°C for 12 h. Reaction products that comigrated with authentic standards were scraped from the TLC plate, extracted with ethyl acetate, dried, and subjected to MS analysis after resuspension in mobile phase. Experiments were repeated three times.
FIG 3
FIG 3
pH optima for purified recombinant CDD59473 (a), CDD59474 (b), and CDD59475 (c) in the oxidative (red) and reductive (blue) directions. Substrates for CDD59473 were 50 μM 3-oxo-DCA (reductive) and iso-DCA (oxidative). CDD59474 was tested with 50 μM 3-oxo-DCA (reductive) and DCA (oxidative). CDD59475 was tested with 50 μM 12-oxo-DCA (reductive) and DCA (oxidative). See Materials and Methods for buffer compositions. Experiments were repeated three times, and results are represented as mean ± standard error of the mean (SEM).
FIG 4
FIG 4
Schematic representation of bile acid metabolism by Eggerthella lenta. Accession numbers of proteins that we identified in Eggerthella CAG:298 and the reactions they catalyze are shown.
FIG 5
FIG 5
iTOl representation of FastTree maximum-likelihood phylogeny from MUSCLE alignment of bacterial hydroxysteroid dehydrogenases and the placement of CDD59473, CDD59474, and CDD59475. The phylogeny is the result of 100 bootstraps compared via Phylo.io. Clusters are shaded according to function, as indicated. See Table S1 in the supplemental material for additional sequence information.

References

    1. Joice R, Yasuda K, Shafquat A, Morgan XC, Huttenhower C. 2014. Determining microbial products and identifying molecular targets in the human microbiome. Cell Metab 20:731–741. doi: 10.1016/j.cmet.2014.10.003. - DOI - PMC - PubMed
    1. Turnbaugh PJ, Ley RE, Hamady M, Fraser-Liggett CM, Knight R, Gordon JI. 2007. The human microbiome project. Nature 449:804–810. doi: 10.1038/nature06244. - DOI - PMC - PubMed
    1. Qin J, Li R, Raes J, Arumugam M, Burgdorf KS, Manichanh C, Nielsen T, Pons N, Levenez F, Yamada T, Mende DR, Li J, Xu J, Li S, Li D, Cao J, Wang B, Liang H, Zheng H, Xie Y, Tap J, Lepage P, Bertalan M, Batto JM, Hansen T, Le Paslier D, Linneberg A, Nielsen HB, Pelletier E, Renault P, Sicheritz-Ponten T, Turner K, Zhu H, Yu C, Li S, Jian M, Zhou Y, Li Y, Zhang X, Li S, Qin N, Yang H, Wang J, Brunak S, Doré J, Guarner F, Kristiansen K, Pedersen O, Parkhill J, Weissenbach J, MetaHIT Consortium, Bork P, Ehrlich SD, Wang J. 2010. A human gut microbial gene catalogue established by metagenomic sequencing. Nature 464:59–65. doi: 10.1038/nature08821. - DOI - PMC - PubMed
    1. Ridlon JM, Bajaj JS. 2015. The human gut sterolbiome: bile acid-microbiome endocrine aspects and therapeutics. Acta Pharm Sin B 5:99–105. doi: 10.1016/j.apsb.2015.01.006. - DOI - PMC - PubMed
    1. Sayin SI, Wahlström A, Felin J, Jäntti S, Marschall HU, Bamberg K, Angelin B, Hyötyläinen T, Orešič M, Bäckhed F. 2013. Gut microbiota regulates bile acid metabolism by reducing the levels of tauro-beta-muricholic acid, a naturally occurring FXR antagonist. Cell Metab 17:225–235. doi: 10.1016/j.cmet.2013.01.003. - DOI - PubMed

Publication types

MeSH terms

Substances

LinkOut - more resources