Methane emission and dynamics of methanotrophic and methanogenic communities in a flooded rice field ecosystemopen access
- Authors
- Lee, Hyo Jung; Kim, Sang Yoon; Kim, Pil Joo; Madsen, Eugene L.; Jeon, Che Ok
- Issue Date
- Apr-2014
- Publisher
- OXFORD UNIV PRESS
- Keywords
- microbial communities; rice paddy; methane emission; methanogen; methanotroph
- Citation
- FEMS MICROBIOLOGY ECOLOGY, v.88, no.1, pp 195 - 212
- Pages
- 18
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- FEMS MICROBIOLOGY ECOLOGY
- Volume
- 88
- Number
- 1
- Start Page
- 195
- End Page
- 212
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/19060
- DOI
- 10.1111/1574-6941.12282
- ISSN
- 0168-6496
1574-6941
- Abstract
- 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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