Evidence map›Paper›PMID 28282404›Full record

ArticlePloS one2017

Characterization of bacterial community associated with phytoplankton bloom in a eutrophic lake in South Norway using 16S rRNA gene amplicon sequence analysis.

Niranjan Nitin Parulekar, Pandurang Kolekar, Andrew Jenkins, Synne Kleiven, Hans Utkilen, Anette Johansen, Sangeeta Sawant, Urmila Kulkarni-Kale, Mohan Kale, Mona Sæbø

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.8field-weighted citation impact, top 2% 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

34 citing papers in PubMed, 91 citations in OpenAlex.

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  17. Airborne bacteria confirm the pristine nature of the Southern Ocean boundary layer.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. Article
  19. Article
  20. Geographical Patterns of Algal Communities Associated with Different Urban Lakes in China.International journal of environmental research and public health · 2020
    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

10 authors at 2 institutions in 2 countries.

Niranjan Nitin ParulekarDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
Pandurang KolekarBioinformatics Centre, Savitribai Phule Pune University (formerly University of Pune), Pune, India.
Andrew JenkinsDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
Synne KleivenDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
Hans UtkilenDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
Anette JohansenDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
Sangeeta SawantBioinformatics Centre, Savitribai Phule Pune University (formerly University of Pune), Pune, India.
Urmila Kulkarni-KaleBioinformatics Centre, Savitribai Phule Pune University (formerly University of Pune), Pune, India.
Mohan KaleDepartment of Statistics, Savitribai Phule Pune University (formerly University of Pune), Pune, India.
Mona SæbøDepartment of Natural Sciences and Environmental Health, Faculty of Technology, Natural Sciences and Maritime Sciences, University College of Southeast Norway, Bø i Telemark, Norway.
University of South-Eastern Norway · NOSavitribai Phule Pune University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between different phytoplankton taxa and heterotrophic bacterial communities within aquatic environments can differentially support growth of various heterotrophic bacterial species. In this study, phytoplankton diversity was studied using traditional microscopic techniques and the bacterial communities associated with phytoplankton bloom were studied using High Throughput Sequencing (HTS) analysis of 16S rRNA gene amplicons from the V1-V3 and V3-V4 hypervariable regions. Samples were collected from Lake Akersvannet, a eutrophic lake in South Norway, during the growth season from June to August 2013. Microscopic examination revealed that the phytoplankton community was mostly represented by Cyanobacteria and the dinoflagellate Ceratium hirundinella. The HTS results revealed that Proteobacteria (Alpha, Beta, and Gamma), Bacteriodetes, Cyanobacteria, Actinobacteria and Verrucomicrobia dominated the bacterial community, with varying relative abundances throughout the sampling season. Species level identification of Cyanobacteria showed a mixed population of Aphanizomenon flos-aquae, Microcystis aeruginosa and Woronichinia naegeliana. A significant proportion of the microbial community was composed of unclassified taxa which might represent locally adapted freshwater bacterial groups. Comparison of cyanobacterial species composition from HTS and microscopy revealed quantitative discrepancies, indicating a need for cross validation of results. To our knowledge, this is the first study that uses HTS methods for studying the bacterial community associated with phytoplankton blooms in a Norwegian lake. The study demonstrates the value of considering results from multiple methods when studying bacterial communities.

Indexed as

BacteriaCyanobacteriaDNA, BacterialEnzyme-Linked Immunosorbent AssayHigh-Throughput Nucleotide SequencingLakesMicrocystinsMicrocystisNorwayPhytoplanktonProteobacteriaRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialmicrocystinMicrocystinsRNA, Ribosomal, 16S

Identifiers

PMID28282404
PMCPMC5345797
OpenAlexW2594427367

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.