4.5 Article

Methane emission and dynamics of methanotrophic and methanogenic communities in a flooded rice field ecosystem

Journal

FEMS MICROBIOLOGY ECOLOGY
Volume 88, Issue 1, Pages 195-212

Publisher

OXFORD UNIV PRESS
DOI: 10.1111/1574-6941.12282

Keywords

microbial communities; rice paddy; methane emission; methanogen; methanotroph

Categories

Funding

  1. National Research Foundation of Korea [2013R1A2A2A07068946]
  2. Korean Government (MEST), Republic of Korea
  3. NSF [DEB-0841999]
  4. National Research Foundation of Korea [2013R1A2A2A07068946] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Methane emissions, along with methanotrophs and methanogens and soil chemical properties, were investigated in a flooded rice ecosystem. Methane emission increased after rice transplantation (from 7.2 to 552mgday(-1)m(-2)) and was positively and significantly correlated with transcripts of pmoA and mcrA genes, transcript/gene ratios of mcrA, temperature and total organic carbon. Methane flux was negatively correlated with sulfate concentration. Methanotrophs represented only a small proportion (0.79-1.75%) of the total bacterial 16S rRNA gene reads: Methylocystis (type II methanotroph) decreased rapidly after rice transplantation, while Methylosinus and unclassified Methylocystaceae (type II) were relatively constant throughout rice cultivation. Methylocaldum, Methylobacter, Methylomonas and Methylosarcina (type I) were sparse during the early period, but they increased after 60days, and their maximum abundances were observed at 90-120days. Of 33218 archaeal reads, 68.3-86.6% were classified as methanogens. Methanosaeta, Methanocella, Methanosarcina and Methanobacterium were dominant methanogens, and their maximum abundances were observed at days 60-90. Only four reads were characteristic of anaerobic methanotrophs, suggesting that anaerobic methane metabolism is negligible in this rice paddy system. After completing a multivariate canonical correspondence analysis of our integrated data set, we found normalized mcrA/pmoA transcript ratios to be a promising parameter for predicting net methane fluxes emitted from rice paddy soils.

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