| Title |
Abundance and Diversity of Aerobic/Anaerobic Ammonia/Ammonium-Oxidizing Microorganisms in an Ammonium-Rich Aquitard in the Pearl River Delta of South China
|
|---|---|
| Published in |
Microbial Ecology, July 2016
|
| DOI | 10.1007/s00248-016-0815-8 |
| Pubmed ID | |
| Authors |
Kwok-Ho Lee, Yong-Feng Wang, Ya Wang, Ji-Dong Gu, Jiu Jimmy Jiao |
| Abstract |
Natural occurring groundwater with abnormally high ammonium concentrations was discovered in the aquifer-aquitard system in the Pearl River Delta, South China. The community composition and abundance of aerobic/anaerobic ammonia/ammonium-oxidizing microorganisms (AOM) in the aquitard were investigated in this study. The alpha subunit of ammonia monooxygenase gene (amoA) was used as the biomarker for the detection of aerobic ammonia-oxidizing archaea (AOA) and bacteria (AOB), and also partial 16S rRNA gene for Plantomycetes and anaerobic ammonium-oxidizing (anammox) bacteria. Phylogenetic analysis showed that AOA in this aquitard were affiliated with those from water columns and wastewater treatment plants; and AOB were dominated by sequences among the Nitrosomonas marina/Nitrosomonas oligotropha lineage, which were affiliated with environmental sequences from coastal eutrophic bay and subtropical estuary. The richness and diversity of both AOA and AOB communities had very little variations with the depth. Candidatus Scalindua-related sequences dominated the anammox bacterial community. AOB amoA gene abundances were always higher than those of AOA at different depths in this aquitard. The Pearson moment correlation analysis showed that AOA amoA gene abundance positively correlated with pH and ammonium concentration, whereas AOB amoA gene abundance negatively correlated with C/N ratio. This is the first report that highlights the presence with low diversity of AOM communities in natural aquitard of rich ammonium. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 36 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 16% |
| Student > Master | 6 | 16% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Postgraduate | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 6 | 16% |
| Unknown | 8 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 7 | 19% |
| Agricultural and Biological Sciences | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Engineering | 3 | 8% |
| Immunology and Microbiology | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 11 | 30% |
Attention Score in Context
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#15,380,359
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Outputs from Microbial Ecology
#1,469
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#234,891
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Outputs of similar age from Microbial Ecology
#27
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