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Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
Molecular methods to investigate functional groups in microbial communities rely on the specificity and selectivity of the primer set towards the target. Here, using rapid sand filters for drinking water production as model environment, we investigated the consistency of two commonly used quantitati...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919994/ https://www.ncbi.nlm.nih.gov/pubmed/27166579 http://dx.doi.org/10.1111/1751-7915.12366 |
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author | Dechesne, Arnaud Musovic, Sanin Palomo, Alejandro Diwan, Vaibhav Smets, Barth F. |
author_facet | Dechesne, Arnaud Musovic, Sanin Palomo, Alejandro Diwan, Vaibhav Smets, Barth F. |
author_sort | Dechesne, Arnaud |
collection | PubMed |
description | Molecular methods to investigate functional groups in microbial communities rely on the specificity and selectivity of the primer set towards the target. Here, using rapid sand filters for drinking water production as model environment, we investigated the consistency of two commonly used quantitative PCR methods to enumerate ammonia‐oxidizing bacteria (AOB): one targeting the phylogenetic gene 16S rRNA and the other, the functional gene amoA. Cloning‐sequencing with both primer sets on DNA from two waterworks revealed contrasting images of AOB diversity. The amoA‐based approach preferentially recovered sequences belonging to Nitrosomonas Cluster 7 over Cluster 6A ones, while the 16S rRNA one yielded more diverse sequences belonging to three AOB clusters, but also a few non‐AOB sequences, suggesting broader, but partly unspecific, primer coverage. This was confirmed by an in silico coverage analysis against sequences of AOB (both isolates and high‐quality environmental sequences). The difference in primer coverage significantly impacted the estimation of AOB abundance at the waterworks with high Cluster 6A prevalence, with estimates up to 50‐fold smaller for amoA than for 16S rRNA. In contrast, both approaches performed very similarly at waterworks with high Cluster 7 prevalence. Our results highlight that caution is warranted when comparing AOB abundances obtained using different qPCR primer sets. |
format | Online Article Text |
id | pubmed-4919994 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49199942016-06-28 Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR Dechesne, Arnaud Musovic, Sanin Palomo, Alejandro Diwan, Vaibhav Smets, Barth F. Microb Biotechnol Brief Reports Molecular methods to investigate functional groups in microbial communities rely on the specificity and selectivity of the primer set towards the target. Here, using rapid sand filters for drinking water production as model environment, we investigated the consistency of two commonly used quantitative PCR methods to enumerate ammonia‐oxidizing bacteria (AOB): one targeting the phylogenetic gene 16S rRNA and the other, the functional gene amoA. Cloning‐sequencing with both primer sets on DNA from two waterworks revealed contrasting images of AOB diversity. The amoA‐based approach preferentially recovered sequences belonging to Nitrosomonas Cluster 7 over Cluster 6A ones, while the 16S rRNA one yielded more diverse sequences belonging to three AOB clusters, but also a few non‐AOB sequences, suggesting broader, but partly unspecific, primer coverage. This was confirmed by an in silico coverage analysis against sequences of AOB (both isolates and high‐quality environmental sequences). The difference in primer coverage significantly impacted the estimation of AOB abundance at the waterworks with high Cluster 6A prevalence, with estimates up to 50‐fold smaller for amoA than for 16S rRNA. In contrast, both approaches performed very similarly at waterworks with high Cluster 7 prevalence. Our results highlight that caution is warranted when comparing AOB abundances obtained using different qPCR primer sets. John Wiley and Sons Inc. 2016-05-11 /pmc/articles/PMC4919994/ /pubmed/27166579 http://dx.doi.org/10.1111/1751-7915.12366 Text en © 2016 The Authors. Microbial Biotechnology published by John Wiley & Sons Ltd and Society for Applied Microbiology. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Brief Reports Dechesne, Arnaud Musovic, Sanin Palomo, Alejandro Diwan, Vaibhav Smets, Barth F. Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR |
title | Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
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title_full | Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
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title_fullStr | Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
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title_full_unstemmed | Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
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title_short | Underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoA‐targeted qPCR
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title_sort | underestimation of ammonia‐oxidizing bacteria abundance by amplification bias in amoa‐targeted qpcr |
topic | Brief Reports |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4919994/ https://www.ncbi.nlm.nih.gov/pubmed/27166579 http://dx.doi.org/10.1111/1751-7915.12366 |
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