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Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library

Soil microorganisms historically have been a rich resource for natural product discovery, yet the majority of these microbes remain uncultivated and their biosynthetic capacity is left underexplored. To identify the biosynthetic potential of soil microorganisms using a culture-independent approach,...

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Autores principales: Santana-Pereira, Alinne L. R., Sandoval-Powers, Megan, Monsma, Scott, Zhou, Jinglie, Santos, Scott R., Mead, David A., Liles, Mark R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750434/
https://www.ncbi.nlm.nih.gov/pubmed/33365020
http://dx.doi.org/10.3389/fmicb.2020.585398
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author Santana-Pereira, Alinne L. R.
Sandoval-Powers, Megan
Monsma, Scott
Zhou, Jinglie
Santos, Scott R.
Mead, David A.
Liles, Mark R.
author_facet Santana-Pereira, Alinne L. R.
Sandoval-Powers, Megan
Monsma, Scott
Zhou, Jinglie
Santos, Scott R.
Mead, David A.
Liles, Mark R.
author_sort Santana-Pereira, Alinne L. R.
collection PubMed
description Soil microorganisms historically have been a rich resource for natural product discovery, yet the majority of these microbes remain uncultivated and their biosynthetic capacity is left underexplored. To identify the biosynthetic potential of soil microorganisms using a culture-independent approach, we constructed a large-insert metagenomic library in Escherichia coli from a topsoil sampled from the Cullars Rotation (Auburn, AL, United States), a long-term crop rotation experiment. Library clones were screened for biosynthetic gene clusters (BGCs) using either PCR or a NGS (next generation sequencing) multiplexed pooling strategy, coupled with bioinformatic analysis to identify contigs associated with each metagenomic clone. A total of 1,015 BGCs were detected from 19,200 clones, identifying 223 clones (1.2%) that carry a polyketide synthase (PKS) and/or a non-ribosomal peptide synthetase (NRPS) cluster, a dramatically improved hit rate compared to PCR screening that targeted type I polyketide ketosynthase (KS) domains. The NRPS and PKS clusters identified by NGS were distinct from known BGCs in the MIBiG database or those PKS clusters identified by PCR. Likewise, 16S rRNA gene sequences obtained by NGS of the library included many representatives that were not recovered by PCR, in concordance with the same bias observed in KS amplicon screening. This study provides novel resources for natural product discovery and circumvents amplification bias to allow annotation of a soil metagenomic library for a more complete picture of its functional and phylogenetic diversity.
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spelling pubmed-77504342020-12-22 Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library Santana-Pereira, Alinne L. R. Sandoval-Powers, Megan Monsma, Scott Zhou, Jinglie Santos, Scott R. Mead, David A. Liles, Mark R. Front Microbiol Microbiology Soil microorganisms historically have been a rich resource for natural product discovery, yet the majority of these microbes remain uncultivated and their biosynthetic capacity is left underexplored. To identify the biosynthetic potential of soil microorganisms using a culture-independent approach, we constructed a large-insert metagenomic library in Escherichia coli from a topsoil sampled from the Cullars Rotation (Auburn, AL, United States), a long-term crop rotation experiment. Library clones were screened for biosynthetic gene clusters (BGCs) using either PCR or a NGS (next generation sequencing) multiplexed pooling strategy, coupled with bioinformatic analysis to identify contigs associated with each metagenomic clone. A total of 1,015 BGCs were detected from 19,200 clones, identifying 223 clones (1.2%) that carry a polyketide synthase (PKS) and/or a non-ribosomal peptide synthetase (NRPS) cluster, a dramatically improved hit rate compared to PCR screening that targeted type I polyketide ketosynthase (KS) domains. The NRPS and PKS clusters identified by NGS were distinct from known BGCs in the MIBiG database or those PKS clusters identified by PCR. Likewise, 16S rRNA gene sequences obtained by NGS of the library included many representatives that were not recovered by PCR, in concordance with the same bias observed in KS amplicon screening. This study provides novel resources for natural product discovery and circumvents amplification bias to allow annotation of a soil metagenomic library for a more complete picture of its functional and phylogenetic diversity. Frontiers Media S.A. 2020-12-07 /pmc/articles/PMC7750434/ /pubmed/33365020 http://dx.doi.org/10.3389/fmicb.2020.585398 Text en Copyright © 2020 Santana-Pereira, Sandoval-Powers, Monsma, Zhou, Santos, Mead and Liles. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Santana-Pereira, Alinne L. R.
Sandoval-Powers, Megan
Monsma, Scott
Zhou, Jinglie
Santos, Scott R.
Mead, David A.
Liles, Mark R.
Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title_full Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title_fullStr Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title_full_unstemmed Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title_short Discovery of Novel Biosynthetic Gene Cluster Diversity From a Soil Metagenomic Library
title_sort discovery of novel biosynthetic gene cluster diversity from a soil metagenomic library
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750434/
https://www.ncbi.nlm.nih.gov/pubmed/33365020
http://dx.doi.org/10.3389/fmicb.2020.585398
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