Evidence map›Paper›PMID 27048324›Full record

ArticleEnvironmental science and pollution research international2016

Submerged macrophytes shape the abundance and diversity of bacterial denitrifiers in bacterioplankton and epiphyton in the Shallow Fresh Lake Taihu, China.

Zhou Fan, Rui-Ming Han, Jie Ma, Guo-Xiang Wang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Zhou FanJiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, 210023, China.
Rui-Ming HanJiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, 210023, China.
Jie MaJiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, 210023, China.
Guo-Xiang WangJiangsu Key Laboratory of Environmental Change and Ecological Construction, Nanjing Normal University, Nanjing, 210023, China. wangguoxiang@njnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

nirK and nirS genes are important functional genes involved in the denitrification pathway. Recent studies about these two denitrifying genes are focusing on sediment and wastewater microbe. In this study, we conducted a comparative analysis of the abundance and diversity of denitrifiers in the epiphyton of submerged macrophytes Potamogeton malaianus and Ceratophyllum demersum as well as in bacterioplankton in the shallow fresh lake Taihu, China. Results showed that nirK and nirS genes had significant different niches in epiphyton and bacterioplankton. Bacterioplankton showed greater abundance of nirK gene in terms of copy numbers and lower abundance of nirS gene. Significant difference in the abundance of nirK and nirS genes also existed between the epiphyton from different submerged macrophytes. Similar community diversity yet different community abundance was observed between epiphytic bacteria and bacterioplankton. No apparent seasonal variation was found either in epiphytic bacteria or bacterioplankton; however, environmental parameters seemed to have direct relevancy with nirK and nirS genes. Our study suggested that submerged macrophytes have greater influence than seasonal parameters in shaping the presence and abundance of bacterial denitrifiers. Further investigation needs to focus on the potential contact and relative contribution between denitrifiers and environmental factors.

Indexed as

DenitrificationMicrobial ConsortiaAquatic OrganismsBacteriaBiodiversityChinaLakesMagnoliopsidaNitrite ReductasesPlanktonPotamogetonaceaeSeasonsNitrite ReductasesBacterioplanktonDenitrifierEpiphytic bacteriaSubmerged macrophytesTaihu Lake

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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.