Name: characterization of aquatic biofilms with flow cytometry
Uploaded: 2018-06-06T13:30:00
Description: Watch this Scientific Journal Video about Characterization of Aquatic Biofilms with Flow Cytometry at JoVE.com

The presented work was supported by a SNF Ambizione Fellowship (PZ00P2_142533) and a Velux Research Grant (Amplebig). We would like to thank Bettina Wagner for help with the experimental work.

1. Ecosystem Selection and Biofilm Sampling
<ol>
	<li>Select an aquatic ecosystem of interest and find sampling sites where biofilms grow. Shallow parts of a stream with slow to medium water flow and a stony streambed for biofilm attachment are appropriate17,18.</li>
	<li>Optional: If the site does not have enough surfaces for biofilm attachment, or to decrease the biofilms variability within a site, place artificial substrates for biofilm attachment (e.g.<...

<ol>
	<li>Battin, T. J., Besemer, K., Bengtsson, M. M., Romani, A. M., Packmann, A. I. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=The+ecology+and+biogeochemistry+of+stream+biofilms.">The ecology and biogeochemistry of stream biofilms.</a> Nat Rev Microbiol. 14 (4), 251-263 (2016).</li><li>Rotter, S., Heilmeier, H., Altenburger, R., Schmitt-Jansen, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Multiple+stressors+in+periphyton+-+comparison+of+observed+and+predicted+tolerance+responses+to+high+ionic+loads+and+herbicide+exposure.">Multiple stressors in periphyton - comparison of observed and predicted tolerance responses to high ionic loads and herbicide exposure.</a> J Appl Ecol. 50 (6), 1459-1468 (2013).</li><li>Tlili, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Pollution-induced+community+tolerance+(PICT):+towards+an+ecologically+relevant+risk+assessment+of+chemicals+in+aquatic+systems.">Pollution-induced community tolerance (PICT): towards an ecologically relevant risk assessment of chemicals in aquatic systems.</a> Freshw Biol. 61 (12), 2141-2151 (2016).</li><li>Lavoie, I., Lavoie, M., Fortin, C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+mine+of+information:+Benthic+algal+communities+as+biomonitors+of+metal+contamination+from+abandoned+tailings.">A mine of information: Benthic algal communities as biomonitors of metal contamination from abandoned tailings.</a> Science of the Total Environment. 425, 231-241 (2012).</li><li>Tlili, A., Montuelle, B., Berard, A., Bouchez, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Impact+of+chronic+and+acute+pesticide+exposures+on+periphyton+communities.">Impact of chronic and acute pesticide exposures on periphyton communities.</a> Sci Total Environ. 409 (11), 2102-2113 (2011).</li><li>Dorigo, U., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Lotic+biofilm+community+structure+and+pesticide+tolerance+along+a+contamination+gradient+in+a+vineyard+area.">Lotic biofilm community structure and pesticide tolerance along a contamination gradient in a vineyard area.</a> Aquat Microb Ecol. 50 (1), 91-102 (2007).</li><li>Pesce, S., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Evaluation+of+single+and+joint+toxic+effects+of+diuron+and+its+main+metabolites+on+natural+phototrophic+biofilms+using+a+pollution-induced+community+tolerance+(PICT)+approach.">Evaluation of single and joint toxic effects of diuron and its main metabolites on natural phototrophic biofilms using a pollution-induced community tolerance (PICT) approach.</a> Aquat Toxicol. 99 (4), 492-499 (2010).</li><li>Ricart, M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Effects+of+low+concentrations+of+the+phenylurea+herbicide+diuron+on+biofilm+algae+and+bacteria.">Effects of low concentrations of the phenylurea herbicide diuron on biofilm algae and bacteria.</a> Chemosphere. 76 (10), 1392-1401 (2009).</li><li>Martinez, A., Kominoski, J. 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The protocol described above is relatively simple to implement. However, while the presented default settings have been shown to be suitable for all phototrophic biofilm tested thus far, optimization (as described in the protocol) is necessary to maximize the information obtained from the method. Indeed, the optical and fluorescent properties of biofilms can vary, depending on the environmental conditions (season, temperature, chemical composition of the water)1. Therefore, it is important to take...

Biofilms are dynamic consortia of microorganism that play a key role in freshwater ecosystems, ranging from primary production, nutrient cycling, and water purification to influencing the distribution of microorganisms and their biodiversity in the ecosystem1. When biofilms are exposed to changing environmental conditions or to stressors, such as chemicals, their community structure quickly shifts towards more tolerant species2,3. Their high sensitivity turns biofilms into attractive model systems for environmental monitoring4, however none of the current methods is perfectly suited to actually trace the dynamic of a biofilm community in a fast and easy way.
The commonly used set of methods to characterize biofilms consists of the measurement of functional and structural endpoints. At the level of the entire community, photosynthetic and respiratory activity as well as the activity of extracellular enzymes provides information on the functional state of the biofilm5,6,7,8,9. Biomass accrual is used as an indicator for overall biofilm growth. Structural changes are currently measured either by using traditional species identification with light microscopy or with nucleotide-based techniques (e.g., denaturing gradient gel electrophoresis (DGGE), automated ribosomal intergenic spacer analysis (ARISA), metagenomics)10,11,12. These methods provide information but are time-consuming to perform, or require specific knowledge, or are still under development. Finally, new methods for the evaluation of the extracellular polymeric substances (EPS)13,14 and the biofilm architecture1, while sensitive, are low-throughput and have not yet been developed towards monitoring purposes.
It is evident that for a complete characterization of freshwater biofilms, it is necessary to combine several different methods, which provide insight into the biofilm function, composition and architecture. For environmental monitoring, on the other hand, a fast and sensitive method that is able to detect changes in the biofilm and enable basic biological interpretation of the shifts at the functional and structural level is required.
We have developed a new method for microbial community characterization of the phototrophic component of stream biofilms (periphyton), which is fast enough for monitoring purposes, and at the same time provides sufficient information on the biofilm community structure to allow biological interpretation15. It is based on single-cell flow cytometry (FC) of biofilm samples and coupled with computational visualization and provides information on optical and fluorescent properties of the biofilm on the single cell level.
The workflow after biofilm sampling consists of sample preparation in the form of sonication, fixation and size-based filtering of the samples followed by assessing the sample by flow cytometry. The acquired data provide information on several cellular traits in a single measurement: particle size, density, pigment content, abiotic content (e.g. microplastics) in the biofilm. This set of data is than analyzed via computational visualization using visual stochastic neighbor embedding (viSNE)16, which enables fast and easy interpretation of the data. Although a few weeks are required to set up and optimize the method, once set up, it takes only a few hours from collecting the biofilm samples to interpreting the results.
The main advantages of the presented method over others are the speed of analysis and high-information-content. Moreover, the samples can be stored for several weeks after collection without loss of their optical and fluorescence properties. This can be very useful when characterization of a large number of samples is required, such as large sampling studies or biomonitoring programs, but can also provide a substantial amount of information in smaller exploratory studies.
The presented protocol is based on flow-cytometric analysis of phototrophic biofilms (periphyton) collected from different locations of a stream. Many steps of the protocol, e.g. the selection of sites appropriate for monitoring purposes, depend on the goals of the research and therefore cannot be prescribed. Others allow less freedom and require that the protocol is followed closely, this is made clear in the detailed protocol below.
The protocol starts with the selection of sites for biofilm-based environmental monitoring. The next step is to set-up the flow-cytometer (FC) so that its measurements enable discrimination between different phototrophic organisms living in biofilms in the monitored environment. This is performed by collecting biofilm samples from the sites, identifying the fluorescent properties of different species present in the biofilm and setting up the flow-cytometer with lasers and filters that enable measurement at the appropriate optical wavelengths. Once the FC has been set-up, biofilms can be collected from the sites periodically, the optical and fluorescent properties of the single particles present in the biofilm measured by flow-cytometry, and the data analyzed by visual clustering. For better interpretation of the results, it is possible to build a FC reference database of local biofilm-living species and their phenotypes and use the database to identify different taxonomies in the FC data. Validation is possible through fluorescence-based sorting of the identified clusters of single cells using FACS and microscopy-based taxonomic identification of the present species. A schematic of the protocol is given in Figure 1.

<table border="0" cellpadding="0" cellspacing="0" width="1095">
	<tbody>
		<tr height="40">
			<td height="40" style="height:40px;width:216px;">Multimeter</td>
			<td style="width:123px;">WTW</td>
			<td style="width:344px;">MultiLine 3620 IDS</td>
			<td style="width:413px;">For measuring temperature, pH, dissolved oxygen</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Ultrasonic cleaner</td>
			<td>VWR International</td>
			<td>97043-986</td>
			<td>Tank dimesions: 15*14*10 cm</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Flow cytometer</td>
			<td>Beckman Coulter</td>
			<td>Gallios</td>
			<td style="width:413px;">Lasers: 405, 488 and 638 nm. Filters bands in Supplementary Table 11. Sgier et, Nat Comm, 2016.&#160;</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Plate reader</td>
			<td>Tecan</td>
			<td>Infinite M200</td>
			<td>used for selecting appropriate setting of the FC</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;width:216px;">Cell sorter</td>
			<td style="width:123px;">Beckman Coulter</td>
			<td style="width:344px;">MoFlo Astrios</td>
			<td style="width:413px;">Settings in Supplementary Table 12. Sgier et, Nat Comm, 2016.&#160;</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;width:216px;">Fluorescence microscope</td>
			<td style="width:123px;">Zeiss</td>
			<td style="width:344px;">Axiovert 135</td>
			<td style="width:413px;">Zeiss EC Plan-Neofluar 40x/0.75 objective</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">SOFTWARE</td>
			<td></td>
			<td></td>
			<td></td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">Matlab</td>
			<td>MathWorks</td>
			<td>R2013a</td>
			<td>software for numerical computing</td>
		</tr>
		<tr height="40">
			<td height="40" style="height:40px;">CYT</td>
			<td>Dana Pe&#39;er Lab</td>
			<td>Version 1.1</td>
			<td>free interactive visualization tool for analysis of cytometry data</td>
		</tr>
	</tbody>
</table>

characterization of aquatic biofilms with flow cytometry

Biofilms are dynamic consortia of microorganism that play a key role in freshwater ecosystems. By changing their community structure, biofilms respond quickly to environmental changes and can be thus used as indicators of water quality. Currently, biofilm assessment is mostly based on integrative and functional endpoints, such as photosynthetic or respiratory activity, which do not provide information on the biofilm community structure. Flow cytometry and computational visualization offer an alternative, sensitive, and easy-to-use method for assessment of the community composition, particularly of the photoautotrophic part of freshwater biofilms. It requires only basic sample preparation, after which the entire sample is run through the flow cytometer. The single-cell optical and fluorescent information is used for computational visualization and biological interpretation. Its main advantages over other methods are the speed of analysis and the high-information-content nature. Flow cytometry provides information on several cellular and biofilm traits in a single measurement: particle size, density, pigment content, abiotic content in the biofilm, and coarse taxonomic information. However, it does not provide information on biofilm composition on the species level. We see high potential in the use of the method for environmental monitoring of aquatic ecosystems and as an initial biofilm evaluation step that informs downstream detailed investigations by complementary and more detailed methods.

Using the procedure presented here (Figure 1), samples taken from several sites of a local stream in Switzerland were analyzed. At each site, three similar sized stones (10&#8211;12 cm) were taken, and biofilms were brushed off the stones. The samples were then sonicated, fixed, filtered and later analyzed by flow cytometry. The setup of the flow cytometer and the reference database used were the same as described in a previous paper15...

Watch this Scientific Journal Video about Characterization of Aquatic Biofilms with Flow Cytometry at JoVE.com

Characterization of Aquatic Biofilms with Flow Cytometry

Flow cytometry in combination with visual clustering offers an easy-to-use and fast method for studying aquatic biofilms. It can be used for biofilm characterization, detection of changes in biofilm community structure, and detection of abiotic particles embedded in the biofilm.

Biofilms are dynamic consortia of microorganism that play a key role in freshwater ecosystems. By changing their community structure, biofilms respond ...

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