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Microbial Ecology

, Volume 47, Issue 1, pp 59–67 | Cite as

Archaeal Community Structure and Pathway of Methane Formation on Rice Roots

  • K. -J. Chin
  • T. Lueders
  • M. W. Friedrich
  • M. Klose
  • R. ConradEmail author
Article

Abstract

The community structure of methanogenic Archaea on anoxically incubated rice roots was investigated by amplification, sequencing, and phylogenetic analysis of 16S rRNA and methyl-coenzyme M reductase (mcrA) genes. Both genes demonstrated the presence of Methanomicrobiaceae, Methanobacteriaceae, Methanosarcinaceae, Methanosaetaceae, and Rice cluster I, an uncultured methanogenic lineage. The pathway of CH4 formation was determined from the 13C-isotopic signatures of the produced CH4, CO2 and acetate. Conditions and duration of incubation clearly affected the methanogenic community structure and the pathway of CH4 formation. Methane was initially produced from reduction of CO2 exclusively, resulting in accumulation of millimolar concentrations of acetate. Simultaneously, the relative abundance of the acetoclastic methanogens (Methanosarcinaceae, Methanosaetaceae), as determined by T-RFLP analysis of 16S rRNA genes, was low during the initial phase of CH4 production. Later on, however, acetate was converted to CH4 so that about 40% of the produced CH4 originated from acetate. Most striking was the observed relative increase of a population of Methanosarcina spp. (but not of Methanosaeta spp.) briefly before acetate concentrations started to decrease. Both acetoclastic methanogenesis and Methanosarcina populations were suppressed by high phosphate concentrations, as observed under application of different buffer systems. Our results demonstrate the parallel change of microbial community structure and function in a complex environment, i.e., the increase of acetoclastic Methanosarcina spp. when high acetate concentrations become available.

Keywords

Rice Root Methanogenic Community mcrA Gene Acetoclastic Methanogen Rice Field Soil 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

We thank Peter Claus for analysis of 13C-isotopic data and the Fonds der Chemischen Industrie, Germany, for financial support.

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Copyright information

© Springer-Verlag 2003

Authors and Affiliations

  • K. -J. Chin
    • 1
  • T. Lueders
    • 1
  • M. W. Friedrich
    • 1
  • M. Klose
    • 1
  • R. Conrad
    • 1
    Email author
  1. 1.Max-Planck-Institut für terrestrische Mikrobiologie, Karl-von-Frisch-Str., 35043 MarburgGermany

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