2018
DOI: 10.1016/j.soilbio.2018.05.033
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Shifts in Nitrobacter- and Nitrospira-like nitrite-oxidizing bacterial communities under long-term fertilization practices

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Cited by 74 publications
(39 citation statements)
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“…Nitrospira is the most widespread and well-known nitrite-oxidizing bacteria (NOB) [31], which plays an important role in the soil nitrogen (N) cycle [32]. In this test, Nitrospira accounted for the highest proportion in each sample, this indicates that Nitrospira was the dominant genus of bacteria in the samples, which is consistent with the research conclusions done by Tobin et al [33].…”
Section: Discussionsupporting
confidence: 88%
“…Nitrospira is the most widespread and well-known nitrite-oxidizing bacteria (NOB) [31], which plays an important role in the soil nitrogen (N) cycle [32]. In this test, Nitrospira accounted for the highest proportion in each sample, this indicates that Nitrospira was the dominant genus of bacteria in the samples, which is consistent with the research conclusions done by Tobin et al [33].…”
Section: Discussionsupporting
confidence: 88%
“…In our study, PNO was not correlated with nxrB gene copy numbers. Several previous studies reported that PNO was strongly and significantly correlated with the abundance of Nitrobacter-like NOB but weakly correlated with the abundance of Nitrospira-like NOB (Attard et al, 2010;Han et al, 2018). Although Nitrobacter were recovered in 16S and metagenomic analysis in our study, their relative abundance was extremely low compared to that of Nitrospira.…”
Section: Discussioncontrasting
confidence: 66%
“…Based on the high-throughput sequencing analysis of Nitrospira nxrB, Nitrospira community composition was significantly changed by ammonium-based fertilizers but not organic fertilizers. However, Han et al (2018) showed that both inorganic and organic fertilization significantly influenced the Nitrospira community composition. Manure, with relatively higher N availability than the compost used in our case, was continuously applied for 26 years in their study.…”
Section: Discussionmentioning
confidence: 96%
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“…Summary of studies included in the meta-analysis (alphabetical order). Measure Methodology (Balachandar et al, 2014) Tamil Nadu, India Taxonomic 16S seq (Chaudhry et al, 2012 Maharashtra, India Functional Biolog Ecoplate (Chen et al, 2015) Jiangxi, China Functional Biolog Ecoplate (Chen et al, 2016) Jiangsu, China Taxonomic 18S seq (Cui et al, 2018) Hunan, China Taxonomic 16S seq (Ding et al, 2016) Heilongjiang, China Taxonomic 16S seq (Ding et al, 2017) Heilongjiang, China Taxonomic ITS seq (Ge et al, 2008) Fengqiu, China Taxonomic 16S seq (Gu et al, 2009) Sichuan, China Taxonomic 16S DGGE (Guanghua et al, 2008) Jilin, China Taxonomic Functional 16S DGGE Biolog Ecoplate (Hamm et al, 2016) Manitoba, Canada Taxonomic 16S seq (Han et al, 2018) Hunan, China Taxonomic nxr seq (Hu et al, 2018b) Northeast China Taxonomic 16S seq (Ji et al, 2018) Fujian, China Taxonomic 16S seq (Kamaa et al, 2011) Kabete, Kenya Taxonomic 16S and 28S DGGE (Kumar et al, 2017) Odisha, India Functional Biolog Ecoplate (Kumar et al, 2018) Odisha, India Taxonomic 16S seq Shandong, China Taxonomic 16S DGGE (Liu et al, 2015) Jiangxi, China Taxonomic 16S seq (Liu et al, 2019) Hebei, China Taxonomic TRFLP (Mahanta et al, 2017) Uttarakhand, India Taxonomic Soil dilution plate (Nautiyal et al, 2010) Maharashtra, India Functional Biolog Ecoplate (Qiu et al, 2014) Fujian, China Taxonomic 16S and 18S TGGE (Ros et al, 2006) Linz, Austria Taxonomic Functional 16S PGGE Biolog Ecoplate (Sun et al, 2004) Oklahoma, USA Taxonomic 16S DGGE (van Bruggen et al, 2015) Netherlands Taxonomic 16S DGGE (van der Bom et al, 2018) Denmark Taxonomic 16S seq (Wang et al, 2018) Heilongjiang, China Taxonomic 16S seq (Wei et al, 2008) Heilongjiang, China Taxonomic Functional 16S DGGE Biolog Ec...…”
Section: Discussionmentioning
confidence: 99%