Optimisation of diagnostic microarray for application in analysing landfill methanotroph communities under different plant covers

Nancy Stralis-Pavese, Angela Sessitsch, Alexandra Weilharter, Thomas Reichenauer, Johann Riesing, József Csontos , Murrell J. Colin, Stefan Radajewski, Levente Bodrossy

Research output: Contribution to journalArticlepeer-review


Landfill sites are responsible for 6-12 % of global methane emission. Methanotrophs play a very important role in decreasing landfill site methane emissions. We investigated the methane oxidation capacity and methanotroph diversity in lysimeters simulating landfill sites with different plant vegetations. Methane oxidation rates were 35 g methane m-2 day-1 or higher for planted lysimeters and 18 g methane m-2 day-1 or less for bare soil controls. Best methane oxidation, as displayed by gas depth profiles, was found under a vegetation of grass and alfalfa. Methanotroph communities were analyzed at high throughput and resolution using a microbial diagnostic microarray targeting the particulate methane monooxygenase (pmoA) gene of methanotrophs and functionally related bacteria. Members of the genera Methylocystis and Methylocaldum were found to be the dominant members in landfill site simulating lysimeters. Soil bacterial communities in biogas free control lysimeters, which were less abundant in methanotrophs, were dominated by Methylocaldum. Type Ia methanotrophs were found only in the top layers of bare soil lysimeters with relatively high oxygen and low methane concentrations. A competitive advantage of type II methanotrophs over type Ia was indicated under all plant covers investigated. Analysis of average and individual results from parallel samples was used to identify general trends and variations in methanotroph community structures in relation to depth, methane supply and plant cover. The applicability of the technology for the detection of environmental perturbations was proven by an erroneous result, where an unexpected community composition detected with the microarray indicated a potential gas leakage in the lysimeter being investigated.
Original languageEnglish
Pages (from-to)347-363
Number of pages17
JournalEnvironmental Microbiology
Publication statusPublished - 2004

Research Field

  • Not defined


  • microarray
  • methanotroph
  • landfill site
  • molecular ecology
  • detection
  • pmoA


Dive into the research topics of 'Optimisation of diagnostic microarray for application in analysing landfill methanotroph communities under different plant covers'. Together they form a unique fingerprint.

Cite this