Denitrifying bacterial communities display different temporal fluctuation patterns across Dutch agricultural soils

被引:1
|
作者
Lopez-Lozano, Nguyen E. [1 ,2 ]
Pereira e Silva, Michele C. [1 ,4 ]
Poly, Franck [3 ]
Guillaumaud, Nadine [3 ]
van Elsas, Jan Dirk [1 ]
Salles, Joana Falcao [1 ]
机构
[1] Univ Groningen, Ctr Life Sci, Dept Microbial Ecol, POB 11103, NL-9700 CC Groningen, Netherlands
[2] IPICyT, Div Ciencias Ambientales, San Luis Potosi, Slp, Mexico
[3] Univ Lyon 1, Microbial Ecol Ctr, UMR 5557, CNRS,USC INRA 1193, Bat G Mendel 43 Bd 11 Novembre 1918, F-69622 Villeurbanne, France
[4] Univ Sao Paulo, Coll Agr Luiz Queiroz, Soil Sci Dept, Soil Microbiol Lab, Ave Padua Dias,11, BR-13418260 Sao Paulo, Brazil
来源
ANTONIE VAN LEEUWENHOEK INTERNATIONAL JOURNAL OF GENERAL AND MOLECULAR MICROBIOLOGY | 2017年 / 110卷 / 11期
关键词
Gene abundance; nosZ; nirK; nirS; Potential denitrification; Soil texture; N2O EMISSIONS; NOSZ GENES; NITRITE REDUCTASE; NITROGEN-CYCLE; PROCESS RATES; DENITRIFICATION; ABUNDANCE; NIRK; AMMONIFICATION; NITRIFICATION;
D O I
10.1007/s10482-017-0898-3
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Considering the great agronomic and environmental importance of denitrification, the aim of the present study was to study the temporal and spatial factors controlling the abundance and activity of denitrifying bacterial communities in a range of eight agricultural soils over 2 years. Abundance was quantified by qPCR of the nirS, nirK and nosZ genes, and the potential denitrification enzyme activity (DEA) was estimated. Our data showed a significant temporal variation considerably high for the abundance of nirK-harboring communities, followed by nosZ and nirS communities. Regarding soil parameters, the abundances of nosZ, nirS and nirK were mostly influenced by organic material, pH, and slightly by NO3 (-), respectively. Soil texture was the most important factor regulating DEA, which could not be explained by the abundance of denitrifiers. Analyses of general patterns across lands to understand the soil functioning is not an easy task because the multiple factors influencing processes such as denitrification can skew the data. Careful analysis of atypical sites are necessary to classify the soils according to trait similarity and in this way reach a better predictability of the denitrifiers dynamics.
引用
收藏
页码:1453 / 1465
页数:13
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