
doi: 10.2166/wst.2012.142
pmid: 22643420
This study investigated the influence of salinity and ammonium levels on ammonia-oxidizing bacteria (AOB) and archaea (AOA) by monitoring their amo subunit A (amoA) messenger RNA (mRNA) expression. The aerobic mini-continuous stirred-tank reactors (mini-CSTRs) were operated for 48 h under different salinity or ammonium levels. Quantification of archaeal and bacterial amoA mRNA levels using real-time reverse transcription polymerase chain reaction, combined with terminal restriction fragment length polymorphism (T-RFLP) analysis, was applied to investigate the differential transcriptional responses among AOA species. High salinity levels repressed both archaeal and bacterial amoA mRNA expressions. On the other hand, high ammonium levels repressed only archaeal mRNA expression, suggesting that ammonium is a significant environmental factor shaping abundance of AOA and AOB. T-RFLP results indicated that the impacts of salinity and ammonium levels were different among AOA species. Although further study is necessary to add significance to our findings, the combination of the short-term mini-CSTR operations and amoA mRNA-based analyses allow a preliminary study on the influences of environmental factors on competition between the AOA and AOB communities.
Bacteria, Reverse Transcriptase Polymerase Chain Reaction, Sodium Chloride, Real-Time Polymerase Chain Reaction, Archaea, Genes, Archaeal, Quaternary Ammonium Compounds, Bioreactors, Genes, Bacterial, RNA, Messenger, Polymorphism, Restriction Fragment Length
Bacteria, Reverse Transcriptase Polymerase Chain Reaction, Sodium Chloride, Real-Time Polymerase Chain Reaction, Archaea, Genes, Archaeal, Quaternary Ammonium Compounds, Bioreactors, Genes, Bacterial, RNA, Messenger, Polymorphism, Restriction Fragment Length
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
