First application of IFCB high-frequency imaging-in-flow cytometry to investigate bloom-forming filamentous cyanobacteria in the Baltic Sea

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Kraft K, Seppälä J, Hällfors H, Suikkanen S, Ylöstalo P, Anglès S, Kielosto S, Kuosa H, Laakso L, Honkanen M, Lehtinen S, Oja J and Tamminen T (2021) First Application of IFCB High-Frequency Imaging-in-Flow Cytometry to Investigate Bloom-Forming Filamentous Cyanobacteria in the Baltic Sea. Front. Mar. Sci. 8:594144. https://doi.org/10.3389/fmars.2021.594144

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Title: First application of IFCB high-frequency imaging-in-flow cytometry to investigate bloom-forming filamentous cyanobacteria in the Baltic Sea
Author: Kraft, Kaisa; Seppälä, Jukka; Hällfors, Heidi; Suikkanen, Sanna; Ylöstalo, Pasi; Anglès, Sílvia; Kielosto, Sami; Kuosa, Harri; Laakso, Lauri; Honkanen, Martti; Lehtinen, Sirpa; Oja, Johanna; Tamminen, Timo
Publisher: Frontiers Media S.A.
Date: 2021
Language: en
Belongs to series: Frontiers in Marine Science 8: 594144
ISSN: 2296-7745
DOI: https://doi.org/10.3389/fmars.2021.594144
URI: http://hdl.handle.net/10138/334720
Abstract: Cyanobacteria are an important part of phytoplankton communities, however, they are also known for forming massive blooms with potentially deleterious effects on recreational use, human and animal health, and ecosystem functioning. Emerging high-frequency imaging flow cytometry applications, such as Imaging FlowCytobot (IFCB), are crucial in furthering our understanding of the factors driving bloom dynamics, since these applications provide community composition information at frequencies impossible to attain using conventional monitoring methods. However, the proof of applicability of automated imaging applications for studying dynamics of filamentous cyanobacteria is still scarce. In this study we present the first results of IFCB applied to a Baltic Sea cyanobacterial bloom community using a continuous flow-through setup. Our main aim was to demonstrate the pros and cons of the IFCB in identifying filamentous cyanobacterial taxa and in estimating their biomass. Selected environmental parameters (water temperature, wind speed and salinity) were included, in order to demonstrate the dynamics of the system the cyanobacteria occur in and the possibilities for analyzing high-frequency phytoplankton observations against changes in the environment. In order to compare the IFCB results with conventional monitoring methods, filamentous cyanobacteria were enumerated from water samples using light microscopical analysis. Two common bloom forming filamentous cyanobacteria in the Baltic Sea, Aphanizomenon flosaquae and Dolichospermum spp. dominated the bloom, followed by an increase in Oscillatoriales abundance. The IFCB results compared well with the results of the light microscopical analysis, especially in the case of Dolichospermum. Aphanizomenon biomass varied slightly between the methods and the Oscillatoriales results deviated the most. Bloom formation was initiated as water temperature increased to over 15°C and terminated as the wind speed increased, dispersing the bloom. Community shifts were closely related to movements of the water mass. We demonstrate how using a high-frequency imaging flow cytometry application can help understand the development of cyanobacteria summer blooms.
Subject: IFCB
Imaging FlowCytobot
high-frequency observations
cyanobacteria
cyanophyte
bloom dynamics
Baltic Sea
imaging-in-flow cytometry
algal bloom
phytoplankton
bloom communities
biomass
changes in the environment
water samples
light microscopical analysis
Aphanizomenon flosaquae
Dolichospermum spp.
Oscillatoriales
water analysis
ecosystems
plankton
algae
marine ecology
Subject (ysa): syanobakteerit
sinilevät
kukinta
Itämeri
virtaussytometria
flow-sytometria
rehevöityminen
Itämeren alue
leväkukinta
meriekologia
levät
plankton
ekosysteemit (ekologia)
vesianalyysi
Rights: CC BY 4.0


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