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On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors
PCR-based methods have caused a surge for integration of eco-physiological approaches into research on partial nitritation anammox (PNA). However, a lack of rigorous standards for molecular analyses resulted in widespread data misinterpretation and consequently lack of consensus. Data consistency an...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502876/ https://www.ncbi.nlm.nih.gov/pubmed/31061389 http://dx.doi.org/10.1038/s41598-019-42882-8 |
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author | Orschler, Laura Agrawal, Shelesh Lackner, Susanne |
author_facet | Orschler, Laura Agrawal, Shelesh Lackner, Susanne |
author_sort | Orschler, Laura |
collection | PubMed |
description | PCR-based methods have caused a surge for integration of eco-physiological approaches into research on partial nitritation anammox (PNA). However, a lack of rigorous standards for molecular analyses resulted in widespread data misinterpretation and consequently lack of consensus. Data consistency and accuracy strongly depend on the primer selection and data interpretation. An in-silico evaluation of 16S rRNA gene eubacterial primers used in PNA studies from the last ten years unraveled the difficulty of comparing ecological data from different studies due to a variation in the coverage of these primers. Our 16S amplicon sequencing approach, which includes parallel sequencing of six 16S rRNA hypervariable regions, showed that there is no perfect hypervariable region for PNA microbial communities. Using qPCR analysis, we emphasize the significance of primer choice for quantification and caution with data interpretation. We also provide a framework for PCR based analyses that will improve and assist to objectively interpret and compare such results. |
format | Online Article Text |
id | pubmed-6502876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65028762019-05-20 On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors Orschler, Laura Agrawal, Shelesh Lackner, Susanne Sci Rep Article PCR-based methods have caused a surge for integration of eco-physiological approaches into research on partial nitritation anammox (PNA). However, a lack of rigorous standards for molecular analyses resulted in widespread data misinterpretation and consequently lack of consensus. Data consistency and accuracy strongly depend on the primer selection and data interpretation. An in-silico evaluation of 16S rRNA gene eubacterial primers used in PNA studies from the last ten years unraveled the difficulty of comparing ecological data from different studies due to a variation in the coverage of these primers. Our 16S amplicon sequencing approach, which includes parallel sequencing of six 16S rRNA hypervariable regions, showed that there is no perfect hypervariable region for PNA microbial communities. Using qPCR analysis, we emphasize the significance of primer choice for quantification and caution with data interpretation. We also provide a framework for PCR based analyses that will improve and assist to objectively interpret and compare such results. Nature Publishing Group UK 2019-05-06 /pmc/articles/PMC6502876/ /pubmed/31061389 http://dx.doi.org/10.1038/s41598-019-42882-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Orschler, Laura Agrawal, Shelesh Lackner, Susanne On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title_full | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title_fullStr | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title_full_unstemmed | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title_short | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
title_sort | on resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502876/ https://www.ncbi.nlm.nih.gov/pubmed/31061389 http://dx.doi.org/10.1038/s41598-019-42882-8 |
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