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Spatiotemporal variations in the abundances of the prokaryotic rRNA genes, pmoA, and mcrA in the deep layers of a peat bog in Sarobetsu-genya wetland, Japan
Spatiotemporal variations in microbial gene abundances were investigated to identify potential zones of methanotroph and methanogen biomass in a peat bog in Sarobetsu-genya wetland. The abundances of the bacterial and archaeal 16S rRNA genes, pmoA, and mcrA were 10⁷-10⁹, 10⁷-10⁸, 10⁴-10⁶, and 10⁴-10...
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Published in: | Limnology 2011-04, Vol.12 (1), p.1-9 |
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description | Spatiotemporal variations in microbial gene abundances were investigated to identify potential zones of methanotroph and methanogen biomass in a peat bog in Sarobetsu-genya wetland. The abundances of the bacterial and archaeal 16S rRNA genes, pmoA, and mcrA were 10⁷-10⁹, 10⁷-10⁸, 10⁴-10⁶, and 10⁴-10⁷ copies g⁻¹ dry peat, respectively. Correlation analysis based on microbial gene abundances and environmental factors showed that the spatiotemporal distributions of the abundances of the four microbial genes in peat layers were similar. The mcrA abundance showed a significant negative correlation with the dissolved organic carbon content and a significant positive correlation with the peat temperature. The pmoA abundance was not detectable during the spring thaw when the lowest peat temperature at a depth of 50 cm was recorded. At a depth of 200 cm, the peat temperature exceeded 6°C throughout the year, and the mcrA abundance exceeded 10⁴ copies g⁻¹ dry peat. These results indicate that the seasonal microbial activity related to methane should be evaluated in not only the shallow but also the deep peat layers in order to elucidate the methane dynamics in boreal wetlands. |
doi_str_mv | 10.1007/s10201-010-0315-3 |
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The abundances of the bacterial and archaeal 16S rRNA genes, pmoA, and mcrA were 10⁷-10⁹, 10⁷-10⁸, 10⁴-10⁶, and 10⁴-10⁷ copies g⁻¹ dry peat, respectively. Correlation analysis based on microbial gene abundances and environmental factors showed that the spatiotemporal distributions of the abundances of the four microbial genes in peat layers were similar. The mcrA abundance showed a significant negative correlation with the dissolved organic carbon content and a significant positive correlation with the peat temperature. The pmoA abundance was not detectable during the spring thaw when the lowest peat temperature at a depth of 50 cm was recorded. At a depth of 200 cm, the peat temperature exceeded 6°C throughout the year, and the mcrA abundance exceeded 10⁴ copies g⁻¹ dry peat. 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The abundances of the bacterial and archaeal 16S rRNA genes, pmoA, and mcrA were 10⁷-10⁹, 10⁷-10⁸, 10⁴-10⁶, and 10⁴-10⁷ copies g⁻¹ dry peat, respectively. Correlation analysis based on microbial gene abundances and environmental factors showed that the spatiotemporal distributions of the abundances of the four microbial genes in peat layers were similar. The mcrA abundance showed a significant negative correlation with the dissolved organic carbon content and a significant positive correlation with the peat temperature. The pmoA abundance was not detectable during the spring thaw when the lowest peat temperature at a depth of 50 cm was recorded. At a depth of 200 cm, the peat temperature exceeded 6°C throughout the year, and the mcrA abundance exceeded 10⁴ copies g⁻¹ dry peat. These results indicate that the seasonal microbial activity related to methane should be evaluated in not only the shallow but also the deep peat layers in order to elucidate the methane dynamics in boreal wetlands.</description><subject>Biomass</subject><subject>Biomedical and Life Sciences</subject><subject>Bogs</subject><subject>Correlation analysis</subject><subject>Dissolved organic carbon</subject><subject>Ecology</subject><subject>Environment</subject><subject>Environmental factors</subject><subject>Freshwater & Marine Ecology</subject><subject>genes</subject><subject>Life Sciences</subject><subject>mcrA</subject><subject>Methane</subject><subject>Microbial activity</subject><subject>Microbiology</subject><subject>Peat</subject><subject>pmoA</subject><subject>Prokaryotes</subject><subject>Quantitative polymerase chain reaction</subject><subject>Research Paper</subject><subject>ribosomal RNA</subject><subject>Sarobetsu-genya wetland</subject><subject>Spatiotemporal variation</subject><subject>spring</subject><subject>temperature</subject><subject>Wetlands</subject><issn>1439-8621</issn><issn>1439-863X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kc1u1DAURiMEEmXgAVhhsWEzAd84sZ3lqCrQqgKJoRI769q5GVKSONgJaN6Fh8XT8COxYGXr6pxP1_6y7Cnwl8C5ehWBFxxyDjznAqpc3MvOoBR1rqX4dP_PvYCH2aMYbzkHJaE8y37sJ5w7P9Mw-YA9-4ahOw3GyLqRzZ-JoV3GBkdHkfn2bjIF_wXD0c-dY-HDux070Ehxy6bB77YMx4YNLux--w3RxHo8UrgLQDYRzsz6wwnYY_CW5rjkKeOI7DvNfQrYsiuccHycPWixj_Tk17nJbl5ffDx_m1-_f3N5vrvOXSnFnDdgpZY1SqmtbnStXWurqi4KBGp57XhDWNpWKYvkVOEKqVSDVpeiksqCFpvsxZqbXvZ1oTiboYuO-rQK-SWaGgAqIZKwyZ7_Q976JYxpOaMrpXihap4gWCEXfIyBWjOFbkg_ZoCbU1tmbcuktsypLSOSU6xOTOx4oPA3-H_Ss1Vq0Rs8hC6am31iSs65BA1S_ARyuqGU</recordid><startdate>20110401</startdate><enddate>20110401</enddate><creator>Akiyama, Masaru</creator><creator>Shimizu, Satoru</creator><creator>Sakai, Toshiaki</creator><creator>Ioka, Seiichiro</creator><creator>Ishijima, Yoji</creator><creator>Naganuma, Takeshi</creator><general>Japan : Springer Japan</general><general>Springer Japan</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7SN</scope><scope>7SS</scope><scope>7U9</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H94</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>M7N</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7TG</scope><scope>7TM</scope><scope>H95</scope><scope>KL.</scope></search><sort><creationdate>20110401</creationdate><title>Spatiotemporal variations in the abundances of the prokaryotic rRNA genes, pmoA, and mcrA in the deep layers of a peat bog in Sarobetsu-genya wetland, Japan</title><author>Akiyama, Masaru ; 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The abundances of the bacterial and archaeal 16S rRNA genes, pmoA, and mcrA were 10⁷-10⁹, 10⁷-10⁸, 10⁴-10⁶, and 10⁴-10⁷ copies g⁻¹ dry peat, respectively. Correlation analysis based on microbial gene abundances and environmental factors showed that the spatiotemporal distributions of the abundances of the four microbial genes in peat layers were similar. The mcrA abundance showed a significant negative correlation with the dissolved organic carbon content and a significant positive correlation with the peat temperature. The pmoA abundance was not detectable during the spring thaw when the lowest peat temperature at a depth of 50 cm was recorded. At a depth of 200 cm, the peat temperature exceeded 6°C throughout the year, and the mcrA abundance exceeded 10⁴ copies g⁻¹ dry peat. These results indicate that the seasonal microbial activity related to methane should be evaluated in not only the shallow but also the deep peat layers in order to elucidate the methane dynamics in boreal wetlands.</abstract><cop>Japan</cop><pub>Japan : Springer Japan</pub><doi>10.1007/s10201-010-0315-3</doi><tpages>9</tpages></addata></record> |
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subjects | Biomass Biomedical and Life Sciences Bogs Correlation analysis Dissolved organic carbon Ecology Environment Environmental factors Freshwater & Marine Ecology genes Life Sciences mcrA Methane Microbial activity Microbiology Peat pmoA Prokaryotes Quantitative polymerase chain reaction Research Paper ribosomal RNA Sarobetsu-genya wetland Spatiotemporal variation spring temperature Wetlands |
title | Spatiotemporal variations in the abundances of the prokaryotic rRNA genes, pmoA, and mcrA in the deep layers of a peat bog in Sarobetsu-genya wetland, Japan |
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