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

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 bact...

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Veröffentlicht in:PloS one 2017-03, Vol.12 (3), p.e0173408-e0173408
Hauptverfasser: Parulekar, Niranjan Nitin, Kolekar, Pandurang, Jenkins, Andrew, Kleiven, Synne, Utkilen, Hans, Johansen, Anette, Sawant, Sangeeta, Kulkarni-Kale, Urmila, Kale, Mohan, Sæbø, Mona
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container_start_page e0173408
container_title PloS one
container_volume 12
creator Parulekar, Niranjan Nitin
Kolekar, Pandurang
Jenkins, Andrew
Kleiven, Synne
Utkilen, Hans
Johansen, Anette
Sawant, Sangeeta
Kulkarni-Kale, Urmila
Kale, Mohan
Sæbø, Mona
description 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.
doi_str_mv 10.1371/journal.pone.0173408
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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28282404</pmid><doi>10.1371/journal.pone.0173408</doi><tpages>e0173408</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 1932-6203
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1932-6203
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source MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS)
subjects Actinobacteria
Anabaena
Aphanizomenon
Aphanizomenon flos-aquae
Aquatic ecosystems
Aquatic environment
Bacteria
Bacteria - genetics
Bacteria - isolation & purification
Bacteria - metabolism
Bacteriodetes
Biodiversity
Bioinformatics
Biology and Life Sciences
Ceratium hirundinella
Climate change
Communities
Cyanobacteria
Cyanobacteria - genetics
DNA, Bacterial - chemistry
DNA, Bacterial - isolation & purification
DNA, Bacterial - metabolism
Earth Sciences
Ecology and Environmental Sciences
Environmental aspects
Environmental health
Enzyme-Linked Immunosorbent Assay
Eutrophic lakes
Eutrophication
Gene sequencing
Genetic aspects
Genomes
Heterotrophic bacteria
High-Throughput Nucleotide Sequencing
Lakes
Lakes - microbiology
Microcystins - analysis
Microcystis
Microcystis - genetics
Microcystis - metabolism
Microcystis aeruginosa
Microorganisms
Microscopy
Next-generation sequencing
Norway
Phytoplankton
Phytoplankton - genetics
Phytoplankton - growth & development
Phytoplankton bloom
Plankton
Proteobacteria
Proteobacteria - genetics
Research and Analysis Methods
RNA sequencing
RNA, Ribosomal, 16S - chemistry
RNA, Ribosomal, 16S - genetics
RNA, Ribosomal, 16S - metabolism
rRNA 16S
Sequence Analysis, DNA
Species composition
Species diversity
Studies
Taxa
Verrucomicrobia
Water temperature
Woronichinia naegeliana
title Characterization of bacterial community associated with phytoplankton bloom in a eutrophic lake in South Norway using 16S rRNA gene amplicon sequence analysis
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