Evidence map›Paper›PMID 30039485›Full record

ArticleEnvironmental science and pollution research international2018

Contribution of heterotrophic bacterioplankton to cyanobacterial bloom formation in a tributary backwater area of the Three Gorges Reservoir, China.

Lunhui Lu, Linlin Xu, Jixiang Yang, Zhe Li, Jinsong Guo, Yan Xiao, Juanjuan Yao

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2018. 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
0.6field-weighted citation impact, top 32% of its field
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, 11 citations in OpenAlex.

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

7 authors at 3 institutions in 2 countries.

Lunhui LuKey Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Linlin XuKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
Jixiang YangKey Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Zhe LiKey Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China. lizhe@cigit.ac.cn.ORCID http://orcid.org/0000-0003-1743-7906
Jinsong GuoKey Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Yan XiaoKey Laboratory of Reservoir Aquatic Environment of CAS, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
Juanjuan YaoKey Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
Chongqing Institute of Green and Intelligent Technology · CNChongqing University · CNSouthwest University · CN

Funding

Chongqing Science and Technology Commission cstc2017jcyjAX0243National Key Research and Development Plan of China 2017YFC0404705National Key S&T Project on Water Pollution Control and Treatment 2015ZX07103-007National Natural Science Foundation of China 51509233 and 51679226
6 · The paper itself

Abstract

This study investigated phytoplankton and bacterioplankton communities by flow cytometer in a tributary backwater area of the Three Gorges Reservoir, China. Samplings were conducted in two cyanobacterial bloom periods (May and August) and no algal-blooms period (November) of 2014, representing three different operational stages of the reservoir, i.e., reservoir discharge period, fluctuating period in the summer flood season, and high water level in the impoundment period. Phyto- and bacterioplankton exhibit a wide range of variability along the depth profiles of the water column. In the investigated two cyanobacterial bloom periods, prokaryotes accounted for over 50% of the total phytoplankton. As for bacterioplankton, low nucleic acid bacteria were dominant in August and November. A positive correlation was observed between phytoplankton (pico- and nanophytoplankton), Chl a, and bacterioplankton. High nucleic acid groups and prokaryotes were highly coupled in May and August, which indicated that this high nucleic acid group could probably contribute to the explanation of cyanobacterial bloom formation in this area.

Indexed as

Bacterial Physiological PhenomenaCyanobacteriaEutrophicationChinaEnvironmental MonitoringPhytoplanktonRiversSeasonsBacterioplanktonCyanobacterial bloomFlow cytometerPhytoplanktonThree Gorges Reservoir

Identifiers

PMID30039485
OpenAlexW2885014278

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.