Literature DB >> 26454634

Design and evaluation of universal 16S rRNA gene primers for high-throughput sequencing to simultaneously detect DAMO microbes and anammox bacteria.

Yong-Ze Lu1, Zhao-Wei Ding1, Jing Ding2, Liang Fu1, Raymond J Zeng3.   

Abstract

To develop universal 16S rRNA gene primers for high-throughput sequencing for the simultaneous detection of denitrifying anaerobic methane oxidation (DAMO) archaea, DAMO bacteria, and anaerobic ammonium oxidation (anammox) bacteria, four published primer sets (PS2-PS5) were modified. The overall coverage of the four primer pairs was evaluated in silico with the Silva SSU r119 dataset. Based on the virtual evaluation, the two best primer pairs (PS4 and PS5) were selected for further verification. Illumina MiSeq sequencing of a freshwater sediment and a culture from a DAMO-anammox reactor using these two primer pairs revealed that PS5 (341b4F-806R) was the most promising universal primer pair. This pair of primers detected both archaea and bacteria with less bias than PS4. Furthermore, an anaerobic fermentation culture and a wastewater treatment plant culture were used to verify the accuracy of PS5. More importantly, it detected DAMO archaea, DAMO bacteria, and anammox bacteria simultaneously with no false positives appeared. This universal 16S rRNA gene primer pair extends the existing molecular tools for studying the community structures and distributions of DAMO microbes and their potential interactions with anammox bacteria in different environments.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Anaerobic ammonium oxidation (anammox) bacteria; DAMO archaea; Denitrifying anaerobic methane oxidation (DAMO) bacteria; High-throughput sequencing; Primer evaluation; Simultaneous detection

Mesh:

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Year:  2015        PMID: 26454634     DOI: 10.1016/j.watres.2015.09.042

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  7 in total

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Journal:  AMB Express       Date:  2018-06-30       Impact factor: 3.298

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Journal:  Int J Mol Sci       Date:  2019-12-31       Impact factor: 5.923

  7 in total

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