Orschler, Laura ; Agrawal, Shelesh ; Lackner, Susanne (2019)
On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors.
In: Scientific Reports, 2019, 9
doi: 10.1038/s41598-019-42882-8
Artikel, Zweitveröffentlichung, Verlagsversion
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Kurzbeschreibung (Abstract)
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.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Orschler, Laura ; Agrawal, Shelesh ; Lackner, Susanne |
| Art des Eintrags: | Zweitveröffentlichung |
| Titel: | On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Publikationsdatum der Erstveröffentlichung: | 2019 |
| Verlag: | Springer Nature |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Scientific Reports |
| Jahrgang/Volume einer Zeitschrift: | 9 |
| DOI: | 10.1038/s41598-019-42882-8 |
| URL / URN: | https://doi.org/10.1038/s41598-019-42882-8 |
| Herkunft: | Zweitveröffentlichung aus gefördertem Golden Open Access |
| Kurzbeschreibung (Abstract): | 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. |
| Status: | Verlagsversion |
| URN: | urn:nbn:de:tuda-tuprints-92280 |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Fachbereich(e)/-gebiet(e): | 13 Fachbereich Bau- und Umweltingenieurwissenschaften 13 Fachbereich Bau- und Umweltingenieurwissenschaften > Institut IWAR - Wasser- und Abfalltechnik, Umwelt- und Raumplanung |
| Hinterlegungsdatum: | 03 Nov 2019 20:56 |
| Letzte Änderung: | 03 Nov 2019 20:56 |
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| Suche nach Titel in: | TUfind oder in Google |
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- On resolving ambiguities in microbial community analysis of partial nitritation anammox reactors. (deposited 03 Nov 2019 20:56) [Gegenwärtig angezeigt]
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