Literature DB >> 27761639

Current advances in molecular methods for detection of nitrite-dependent anaerobic methane oxidizing bacteria in natural environments.

Jing Chen1,2, Richard Dick3, Jih-Gaw Lin4, Ji-Dong Gu5.   

Abstract

Nitrite-dependent anaerobic methane oxidation (n-damo) process uniquely links microbial nitrogen and carbon cycles. Research on n-damo bacteria progresses quickly with experimental evidences through enrichment cultures. Polymerase chain reaction (PCR)-based methods for detecting them in various natural ecosystems and engineered systems play a very important role in the discovery of their distribution, abundance, and biodiversity in the ecosystems. Important characteristics of n-damo enrichments were obtained and their key significance in microbial nitrogen and carbon cycles was investigated. The molecular methods currently used in detecting n-damo bacteria were comprehensively reviewed and discussed for their strengths and limitations in applications with a wide range of samples. The pmoA gene-based PCR primers for n-damo bacterial detection were evaluated and, in particular, several incorrectly stated PCR primer nucleotide sequences in the published papers were also pointed out to allow correct applications of the PCR primers in current and future investigations. Furthermore, this review also offers the future perspectives of n-damo bacteria based on current information and methods available for a better acquisition of new knowledge about this group of bacteria.

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Keywords:  Anaerobic methane oxidation; Denitrification; Methylomirabilis oxyfera-like bacteria; Molecular detection; N-damo; PCR primer; pmoA gene

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Year:  2016        PMID: 27761639     DOI: 10.1007/s00253-016-7853-5

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  1 in total

1.  A New Primer to Amplify pmoA Gene From NC10 Bacteria in the Sediments of Dongchang Lake and Dongping Lake.

Authors:  Shenghui Wang; Yanjun Liu; Guofu Liu; Yaru Huang; Yu Zhou
Journal:  Curr Microbiol       Date:  2017-05-13       Impact factor: 2.188

  1 in total

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