2013
DOI: 10.1016/j.scitotenv.2012.11.052
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Characterization of soil bacterial community structure and physicochemical properties in created and natural wetlands

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Cited by 142 publications
(62 citation statements)
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“…Many studies have calculated Shannon diversity index (H ) in aquatic systems and values typically range from 0.5 to 5, with values of 0.5-2.0 implying low diversity and values of 2.0-5.0 indicating high diversity (Garrido et al, 2014). In this study, the majority of H were higher than 2.0, with a range of 1.59-5.60, suggesting a relatively high H value and wide range of diversity for the present treatment wetlands compared to previous studies on CWs (2.0-3.8 in Arroyo et al (2013); 1.74-2.93 in Peralta et al (2013)). …”
Section: Diversity Of Microbial Communitiescontrasting
confidence: 46%
“…Many studies have calculated Shannon diversity index (H ) in aquatic systems and values typically range from 0.5 to 5, with values of 0.5-2.0 implying low diversity and values of 2.0-5.0 indicating high diversity (Garrido et al, 2014). In this study, the majority of H were higher than 2.0, with a range of 1.59-5.60, suggesting a relatively high H value and wide range of diversity for the present treatment wetlands compared to previous studies on CWs (2.0-3.8 in Arroyo et al (2013); 1.74-2.93 in Peralta et al (2013)). …”
Section: Diversity Of Microbial Communitiescontrasting
confidence: 46%
“…[33] To investigate the microbial community function, we analysed the identified protein sequences from soil and water metagenomic data sets. Hierarchical analysis of SEED Subsystems in MG-RAST revealed that the basic functions of microbes in soil and water were similar (Figure 4).…”
Section: Microbial Functionmentioning
confidence: 99%
“…However, these methods may overlook many of the low-abundance organisms in microbial communities, therefore providing incomplete information about the community structure and diversity within CWs [14]. Advances in qualitative and quantitative molecular techniques, such as high-throughput sequencing and quantitative PCR (qPCR), have made it possible to detect the structure and abundance of microbial communities more profoundly [15][16][17]. A number of studies have applied quantitative PCR [18][19][20][21] and high-throughput sequencing [22][23][24][25] to investigate microbial processes in various wastewater treatment systems.…”
Section: Introductionmentioning
confidence: 99%