Evidence map›Paper›PMID 21926211›Full record

ArticleApplied and environmental microbiology2011

Low-dissolved-oxygen nitrifying systems exploit ammonia-oxidizing bacteria with unusually high yields.

Micol Bellucci, Irina D Ofiteru, David W Graham, Ian M Head, Thomas P Curtis

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Efficient Nitrification and Low-Level NApplied and environmental microbiology · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Micol BellucciTokyo University of Agriculture and Technology, Bld. 4-320 2-24-16 Naka-cho, Koganei-shi, Tokyo 184-8588, Japan. m.bellucci@ncl.ac.uk
Irina D Ofiteru
David W Graham
Ian M Head
Thomas P Curtis

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In wastewater treatment plants, nitrifying systems are usually operated with elevated levels of aeration to avoid nitrification failures. This approach contributes significantly to operational costs and the carbon footprint of nitrifying wastewater treatment processes. In this study, we tested the effect of aeration rate on nitrification by correlating ammonia oxidation rates with the structure of the ammonia-oxidizing bacterial (AOB) community and AOB abundance in four parallel continuous-flow reactors operated for 43 days. Two of the reactors were supplied with a constant airflow rate of 0.1 liter/min, while in the other two units the airflow rate was fixed at 4 liters/min. Complete nitrification was achieved in all configurations, though the dissolved oxygen (DO) concentration was only 0.5 ± 0.3 mg/liter in the low-aeration units. The data suggest that efficient performance in the low-DO units resulted from elevated AOB levels in the reactors and/or putative development of a mixotrophic AOB community. Denaturing gel electrophoresis and cloning of AOB 16S rRNA gene fragments followed by sequencing revealed that the AOB community in the low-DO systems was a subset of the community in the high-DO systems. However, in both configurations the dominant species belonged to the Nitrosomonas oligotropha lineage. Overall, the results demonstrated that complete nitrification can be achieved at low aeration in lab-scale reactors. If these findings could be extended to full-scale plants, it would be possible to minimize the operational costs and greenhouse gas emissions without risk of nitrification failure.

Indexed as

NitrificationWater MicrobiologyAmmoniaBioreactorsCluster AnalysisDenaturing Gradient Gel ElectrophoresisDNA, BacterialDNA, RibosomalMolecular Sequence DataNitrosomonasOxidation-ReductionOxygenPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNAWater PurificationAmmoniaDNA, BacterialDNA, RibosomalOxygenRNA, Ribosomal, 16S

Identifiers

PMID21926211
PMCPMC3209145

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.