Low nitrogen fertilization adapts rice root microbiome to low nutrient environment by changing biogeochemical functions.
Low nitrogen fertilization adapts rice root microbiome to low nutrient environment by changing biogeochemical functions.
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DOI:
10.1264/jsme2.me13110
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发表时间:
2014
影响因子:
2.2
通讯作者:
Minamisawa K
中科院分区:
文献类型:
--
作者:
Ikeda S;Sasaki K;Okubo T;Yamashita A;Terasawa K;Bao Z;Liu D;Watanabe T;Murase J;Asakawa S;Eda S;Mitsui H;Sato T;Minamisawa K
Reduced fertilizer usage is one of the objectives of field management in the pursuit of sustainable agriculture. Here, we report on shifts of bacterial communities in paddy rice ecosystems with low (LN), standard (SN), and high (HN) levels of N fertilizer application (0, 30, and 300 kg N ha−1, respectively). The LN field had received no N fertilizer for 5 years prior to the experiment. The LN and HN plants showed a 50% decrease and a 60% increase in biomass compared with the SN plant biomass, respectively. Analyses of 16S rRNA genes suggested shifts of bacterial communities between the LN and SN root microbiomes, which were statistically confirmed by metagenome analyses. The relative abundances of Burkholderia, Bradyrhizobium and Methylosinus were significantly increased in root microbiome of the LN field relative to the SN field. Conversely, the abundance of methanogenic archaea was reduced in the LN field relative to the SN field. The functional genes for methane oxidation (pmo and mmo) and plant association (acdS and iaaMH) were significantly abundant in the LN root microbiome. Quantitative PCR of pmoA/mcrA genes and a 13C methane experiment provided evidence of more active methane oxidation in the rice roots of the LN field. In addition, functional genes for the metabolism of N, S, Fe, and aromatic compounds were more abundant in the LN root microbiome. These results suggest that low-N-fertilizer management is an important factor in shaping the microbial community structure containing key microbes for plant associations and biogeochemical processes in paddy rice ecosystems.
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影响因子:
4.2
作者:
Hardoim PR;Andreote FD;Reinhold-Hurek B;Sessitsch A;van Overbeek LS;van Elsas JD
通讯作者:
van Elsas JD
影响因子:
4.4
作者:
Kolb, S;Knief, C;Conrad, R
通讯作者:
Conrad, R
影响因子:
2.2
作者:
Dianou D;Ueno C;Ogiso T;Kimura M;Asakawa S
通讯作者:
Asakawa S
DOI:
10.1073/pnas.0813417106
发表时间:
2009-03-03
影响因子:
11.1
作者:
Ju, Xiao-Tang;Xing, Guang-Xi;Zhang, Fu-Suo
通讯作者:
Zhang, Fu-Suo
影响因子:
64.8
作者:
Bodelier, PLE;Roslev, P;Frenzel, P
通讯作者:
Frenzel, P