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Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences

The techniques of metagenomics have allowed researchers to access the genomic potential of uncultivated microbes, but there remain significant barriers to determination of gene function based on DNA sequence alone. Functional metagenomics, in which DNA is cloned and expressed in surrogate hosts, can...

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Autores principales: Cheng, Jiujun, Romantsov, Tatyana, Engel, Katja, Doxey, Andrew C., Rose, David R., Neufeld, Josh D., Charles, Trevor C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342196/
https://www.ncbi.nlm.nih.gov/pubmed/28273103
http://dx.doi.org/10.1371/journal.pone.0172545
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author Cheng, Jiujun
Romantsov, Tatyana
Engel, Katja
Doxey, Andrew C.
Rose, David R.
Neufeld, Josh D.
Charles, Trevor C.
author_facet Cheng, Jiujun
Romantsov, Tatyana
Engel, Katja
Doxey, Andrew C.
Rose, David R.
Neufeld, Josh D.
Charles, Trevor C.
author_sort Cheng, Jiujun
collection PubMed
description The techniques of metagenomics have allowed researchers to access the genomic potential of uncultivated microbes, but there remain significant barriers to determination of gene function based on DNA sequence alone. Functional metagenomics, in which DNA is cloned and expressed in surrogate hosts, can overcome these barriers, and make important contributions to the discovery of novel enzymes. In this study, a soil metagenomic library carried in an IncP cosmid was used for functional complementation for β-galactosidase activity in both Sinorhizobium meliloti (α-Proteobacteria) and Escherichia coli (γ-Proteobacteria) backgrounds. One β-galactosidase, encoded by six overlapping clones that were selected in both hosts, was identified as a member of glycoside hydrolase family 2. We could not identify ORFs obviously encoding possible β-galactosidases in 19 other sequenced clones that were only able to complement S. meliloti. Based on low sequence identity to other known glycoside hydrolases, yet not β-galactosidases, three of these ORFs were examined further. Biochemical analysis confirmed that all three encoded β-galactosidase activity. Lac36W_ORF11 and Lac161_ORF7 had conserved domains, but lacked similarities to known glycoside hydrolases. Lac161_ORF10 had neither conserved domains nor similarity to known glycoside hydrolases. Bioinformatic and structural modeling implied that Lac161_ORF10 protein represented a novel enzyme family with a five-bladed propeller glycoside hydrolase domain. By discovering founding members of three novel β-galactosidase families, we have reinforced the value of functional metagenomics for isolating novel genes that could not have been predicted from DNA sequence analysis alone.
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spelling pubmed-53421962017-03-29 Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences Cheng, Jiujun Romantsov, Tatyana Engel, Katja Doxey, Andrew C. Rose, David R. Neufeld, Josh D. Charles, Trevor C. PLoS One Research Article The techniques of metagenomics have allowed researchers to access the genomic potential of uncultivated microbes, but there remain significant barriers to determination of gene function based on DNA sequence alone. Functional metagenomics, in which DNA is cloned and expressed in surrogate hosts, can overcome these barriers, and make important contributions to the discovery of novel enzymes. In this study, a soil metagenomic library carried in an IncP cosmid was used for functional complementation for β-galactosidase activity in both Sinorhizobium meliloti (α-Proteobacteria) and Escherichia coli (γ-Proteobacteria) backgrounds. One β-galactosidase, encoded by six overlapping clones that were selected in both hosts, was identified as a member of glycoside hydrolase family 2. We could not identify ORFs obviously encoding possible β-galactosidases in 19 other sequenced clones that were only able to complement S. meliloti. Based on low sequence identity to other known glycoside hydrolases, yet not β-galactosidases, three of these ORFs were examined further. Biochemical analysis confirmed that all three encoded β-galactosidase activity. Lac36W_ORF11 and Lac161_ORF7 had conserved domains, but lacked similarities to known glycoside hydrolases. Lac161_ORF10 had neither conserved domains nor similarity to known glycoside hydrolases. Bioinformatic and structural modeling implied that Lac161_ORF10 protein represented a novel enzyme family with a five-bladed propeller glycoside hydrolase domain. By discovering founding members of three novel β-galactosidase families, we have reinforced the value of functional metagenomics for isolating novel genes that could not have been predicted from DNA sequence analysis alone. Public Library of Science 2017-03-08 /pmc/articles/PMC5342196/ /pubmed/28273103 http://dx.doi.org/10.1371/journal.pone.0172545 Text en © 2017 Cheng et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cheng, Jiujun
Romantsov, Tatyana
Engel, Katja
Doxey, Andrew C.
Rose, David R.
Neufeld, Josh D.
Charles, Trevor C.
Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title_full Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title_fullStr Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title_full_unstemmed Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title_short Functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
title_sort functional metagenomics reveals novel β-galactosidases not predictable from gene sequences
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342196/
https://www.ncbi.nlm.nih.gov/pubmed/28273103
http://dx.doi.org/10.1371/journal.pone.0172545
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