Evidence map›Paper›PMID 31428884›Full record

ArticleAMB Express2019

Denitrification characterization of dissolved oxygen microprofiles in lake surface sediment through analyzing abundance, expression, community composition and enzymatic activities of denitrifier functional genes.

Pei Hong, Xingqiang Wu, Yilin Shu, ChunBo Wang, Cuicui Tian, Shihao Gong, Pei Cai, Oscar Omondi Donde, Bangding Xiao

Abstract read
In one paragraph

Article in AMB Express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

9 authors.

Pei HongKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Xingqiang WuKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Yilin ShuKey Laboratory for the Conservation and Utilization of Important Biological Resources of Anhui Province, Wuhu, 241000, China.
ChunBo WangKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Cuicui TianKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Shihao GongKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Pei CaiKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Oscar Omondi DondeKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China.
Bangding XiaoKey Laboratory of Algal Biology of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, No. 7 Donghu South Road, Wuhan, 430072, China. bdxiao618@163.com.

Funding

National Natural Science Foundation of China 31670465National Natural Science Foundation of China 31800112National Natural Science Foundation of China 31800390National Natural Science Foundation of China 31870450
6 · The paper itself

Abstract

The responses of denitrifiers and denitrification ability to dissolved oxygen (DO) concent in different layers of surface lake sediments are still poorly understood. Here, the optimal denitrification condition was constructed based on response surface methodology (RSM) to analyze the denitrification characteristics of surface sediments. The aerobic zone (AEZ), hypoxic zone (HYZ), up-anoxic zone (ANZ-1) and sub-anoxic zone (ANZ-2) were partitioned based on the oxygen contents, and sediments were collected using a customized-designed sub-millimeter scale sampling device. Integrated real-time quantitative PCR, Illumina Miseq-based sequencing and denitrifying enzyme activities analysis revealed that denitrification characteristics varied among different DO layers. Among the four layers, the DNA abundance and RNA expression levels of norB, nirS and nosZ were the highest at the aerobic layer, hypoxic layer and up-axoic layer, respectively. The hypoxia and up-anaerobic layer were the active nitrogen removal layers, since these two layers displayed the highest DNA abundance, RNA expression level and enzyme activities of denitrification functional genes. The abundance of major denitrifying bacteria showed significant differences among layers, with Azoarcus, Pseudogulbenkiania and Rhizobium identified as the main nirS, nirK and nosZ-based denitrifiers. Pearson's correlation revealed that the response of denitrifiers to environmental factors differed greatly among DO layers. Furthermore, napA showed higher DNA abundance and RNA expression level in the aerobic and hypoxic layers than anaerobic layers, indicating that aerobic denitrifiers might play important roles at these layers.

Indexed as

Denitrification traitsDenitrifierDO concentrationLake surface sedimentResponse surface methodology (RSM)

Identifiers

PMID31428884
PMCPMC6702497

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