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Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys
Bacterial taxonomic community analyses using PCR-amplification of the 16S rRNA gene and high-throughput sequencing has become a cornerstone in microbiology research. To reliably detect the members, or operational taxonomic units (OTUs), that make up bacterial communities, taxonomic surveys rely on t...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368227/ https://www.ncbi.nlm.nih.gov/pubmed/28400755 http://dx.doi.org/10.3389/fmicb.2017.00494 |
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author | Thijs, Sofie Op De Beeck, Michiel Beckers, Bram Truyens, Sascha Stevens, Vincent Van Hamme, Jonathan D. Weyens, Nele Vangronsveld, Jaco |
author_facet | Thijs, Sofie Op De Beeck, Michiel Beckers, Bram Truyens, Sascha Stevens, Vincent Van Hamme, Jonathan D. Weyens, Nele Vangronsveld, Jaco |
author_sort | Thijs, Sofie |
collection | PubMed |
description | Bacterial taxonomic community analyses using PCR-amplification of the 16S rRNA gene and high-throughput sequencing has become a cornerstone in microbiology research. To reliably detect the members, or operational taxonomic units (OTUs), that make up bacterial communities, taxonomic surveys rely on the use of the most informative PCR primers to amplify the broad range of phylotypes present in up-to-date reference databases. However, primers specific for the domain Bacteria were often developed some time ago against database versions that are now out of date. Here we evaluated the performance of four bacterial primers for characterizing complex microbial communities in explosives contaminated and non-contaminated forest soil and by in silico evaluation against the current SILVA123 database. Primer pair 341f/785r produced the highest number of bacterial OTUs, phylogenetic richness, Shannon diversity, low non-specificity and most reproducible results, followed by 967f/1391r and 799f/1193r. Primer pair 68f/518r showed overall low coverage and a bias toward Alphaproteobacteria. In silico, primer pair 341f/785r showed the highest coverage of the domain Bacteria (96.1%) with no obvious bias toward the majority of bacterial species. This suggests the high utility of primer pair 341f/785r for soil and plant-associated bacterial microbiome studies. |
format | Online Article Text |
id | pubmed-5368227 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53682272017-04-11 Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys Thijs, Sofie Op De Beeck, Michiel Beckers, Bram Truyens, Sascha Stevens, Vincent Van Hamme, Jonathan D. Weyens, Nele Vangronsveld, Jaco Front Microbiol Microbiology Bacterial taxonomic community analyses using PCR-amplification of the 16S rRNA gene and high-throughput sequencing has become a cornerstone in microbiology research. To reliably detect the members, or operational taxonomic units (OTUs), that make up bacterial communities, taxonomic surveys rely on the use of the most informative PCR primers to amplify the broad range of phylotypes present in up-to-date reference databases. However, primers specific for the domain Bacteria were often developed some time ago against database versions that are now out of date. Here we evaluated the performance of four bacterial primers for characterizing complex microbial communities in explosives contaminated and non-contaminated forest soil and by in silico evaluation against the current SILVA123 database. Primer pair 341f/785r produced the highest number of bacterial OTUs, phylogenetic richness, Shannon diversity, low non-specificity and most reproducible results, followed by 967f/1391r and 799f/1193r. Primer pair 68f/518r showed overall low coverage and a bias toward Alphaproteobacteria. In silico, primer pair 341f/785r showed the highest coverage of the domain Bacteria (96.1%) with no obvious bias toward the majority of bacterial species. This suggests the high utility of primer pair 341f/785r for soil and plant-associated bacterial microbiome studies. Frontiers Media S.A. 2017-03-28 /pmc/articles/PMC5368227/ /pubmed/28400755 http://dx.doi.org/10.3389/fmicb.2017.00494 Text en Copyright © 2017 Thijs, Op De Beeck, Beckers, Truyens, Stevens, Van Hamme, Weyens and Vangronsveld. 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) or licensor 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 Thijs, Sofie Op De Beeck, Michiel Beckers, Bram Truyens, Sascha Stevens, Vincent Van Hamme, Jonathan D. Weyens, Nele Vangronsveld, Jaco Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title | Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title_full | Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title_fullStr | Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title_full_unstemmed | Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title_short | Comparative Evaluation of Four Bacteria-Specific Primer Pairs for 16S rRNA Gene Surveys |
title_sort | comparative evaluation of four bacteria-specific primer pairs for 16s rrna gene surveys |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368227/ https://www.ncbi.nlm.nih.gov/pubmed/28400755 http://dx.doi.org/10.3389/fmicb.2017.00494 |
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