Evidence map›Paper›PMID 31228140›Full record

ArticleFolia microbiologica2020

Anaerobic ammonium-oxidizing bacteria in river water treatment wetland.

Tianli Tong, Bingxin Li, Shuguang Xie

Abstract read
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In one paragraph

Article in Folia microbiologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tianli TongState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.
Bingxin LiState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.
Shuguang XieState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China. xiesg@pku.edu.cn.

Funding

State Key Joint Laboratory of Environmental Simulation and Pollution Control 19Y01ESPCP
6 · The paper itself

Abstract

Anaerobic ammonium-oxidizing (anammox) bacteria play an essential part in nitrogen removal in constructed wetlands. The objective of the present study was to explore the spatiotemporal dynamics of anammox bacterial communities and the associated factors in a full-scale constructed wetland for the treatment of polluted surface water. The abundance and diversity of anammox bacterial communities were characterized using quantitative polymerase chain reaction (PCR) and clone library analysis, respectively. Anammox bacterial diversity, richness, and abundance in the treatment wetland differed considerably among sampling sites and seasons, whereas anammox bacterial community structure tended to change slightly with site and time. Anammox abundance was likely influenced by temperature and the contents of nitrate and nitrite nitrogen. The increase of carbon and nitrogen contents could lower wetland anammox bacterial diversity and richness. Moreover, anammox bacterial diversity, richness, and abundance were also affected by wetland vegetation type. Candidatus Brocadia dominated in the treatment wetland, whereas Candidatus Kuenenia and a novel anammox phylotype were also detected. This work could provide some new insights towards anaerobic ammonium oxidization in surface water treatment wetland.

Indexed as

Ammonium CompoundsAnaerobiosisBacteriaNitritesOxidation-ReductionPhylogenyRiversWater PurificationWetlandsAmmonium CompoundsNitritesAnammoxConstructed wetlandMicrobial communityNitrogenRiver waterVegetation

Identifiers

What OpenQuestion holds

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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.