Articles | Volume 12, issue 6
https://doi.org/10.5194/os-12-1237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-12-1237-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
22 Nov 2016
Research article |
| 22 Nov 2016
High-resolution monitoring of marine protists based on an observation strategy integrating automated on-board filtration and molecular analyses
Katja Metfies
CORRESPONDING AUTHOR
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Friedhelm Schroeder
In-situ Measuring Systems, Helmholtz Zentrum Geesthacht Centre for Materials
and Coastal Research, 21502 Geesthacht, Germany
Johanna Hessel
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Jochen Wollschläger
In-situ Measuring Systems, Helmholtz Zentrum Geesthacht Centre for Materials
and Coastal Research, 21502 Geesthacht, Germany
Sebastian Micheller
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Christian Wolf
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Estelle Kilias
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Pim Sprong
Helmholtz Young Investigators Group PLANKTOSENS, Alfred Wegener
Institute Helmholtz Centre for Polar and Marine Research, 27570 Bremerhaven, Germany
Stefan Neuhaus
Scientific Computing, Alfred Wegener Institute Helmholtz Centre for
Polar and Marine Research, Bremerhaven, 27570 Bremerhaven, Germany
Stephan Frickenhaus
Scientific Computing, Alfred Wegener Institute Helmholtz Centre for
Polar and Marine Research, Bremerhaven, 27570 Bremerhaven, Germany
Wilhelm Petersen
In-situ Measuring Systems, Helmholtz Zentrum Geesthacht Centre for Materials
and Coastal Research, 21502 Geesthacht, Germany
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Cited articles
Acevedo-Trejos, E., Brandt, G., Steinacher, M., and Merico, A.: A glimpse into the future composition of marine phytoplankton communities, Front. Mar. Sci., 1, https://doi.org/10.1146/annurev-marine-041911-111611, 2014.
Boersma, M., Gruner, N., Signorelli, N. T., Gonzalez, P. E. M., Peck, M. A., and Wiltshire, K. H.: Projecting effects of climate change on marine systems: is the mean all that matters?, P. R. Soc. B, 283, https://doi.org/10.1098/rspb.2015.2274, 2016.
Bowers, H. A., Brutemark, A., Carvalho, W. F., and Graneli, E.: Combining Flow Cytometry and Real-Time PCR Methodology to demonstrate consumption by Prymnesium parvum, J. Am. Water Resour. As., 46, 133–143, https://doi.org/10.1111/j.1752-1688.2009.00397.x, 2010.
Bresnan, E., Cook, K. B., Hughes, S. L., Hay, S. J., Smith, K., Walsham, P., and Webster, L.: Seasonality of the plankton community at an east and west coast monitoring site in Scottish waters, J. Sea Res., 105, 16–29, https://doi.org/10.1016/j.seares.2015.06.009, 2015.
Caron, D. A., Peele, E. R., Lim, E. L., and Dennett, M. R.: Picoplankton and nanoplankton and their trophic coupling in the surface waters of the Sargasso Sea south of Bermuda, Limnol. Oceanogr., 44, 259–272, https://doi.org/10.4319/lo.1999.44.2.0259, 1999.
Comeau, A. M., Li, W. K. W., Tremblay, J. E., Carmack, E. C., and Lovejoy, C.: Arctic Ocean Microbial Community Structure before and after the 2007 Record Sea Ice Minimum, Plos One, 604, 6, https://doi.org/10.1038/srep00604, 2011.
de Vargas, C., Audic, S. Henry, N., Decelle, J., Mahe, F., Logares, R., Lara, E., Berney, C., Le Bescot, N., Probert, I., Carmichael, M., Poulain, J., Romac, S., Colin, S., Aury, J.-M., Bittner, L., Chaffron, S., Dunthorn, M., Engelen, S., Flegontova, O., Guidi, L., Horak, A., Jaillon, O., Lima-Mendez, G., Lukes J., Malviya, S., Morard, R., Mulot, M., Scalco, E., Siano, R., Vincent, F., Zingone, A., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Acinas, S. G., Bork, P., Bowler, C., Gorsky, G., Grimsley, P., Hingamp, D., Iudicone, F., Not, H., Ogata, S., Pesant, J., Raes, M. E., Sieracki, S., Speich, N., Stemmann, L., Sunagawa, S., Weissenbach, J., Wincker, P., and Karsenti, E.: Eukaryotic plankton diversity in the sunlit ocean, Science, 348, 1261605, https://doi.org/10.1126/science.1261605, 2015.
Diercks, S., Metfies, K., and Medlin, L.K.: Development and adaptation of a multiprobe biosensor for the use in a semi-automated device for the detection of toxic algae, Biosens. Bioelectron, 23, 1527–1533, https://doi.org/10.1016/j.bios.2008.01.010, 2008a.
Diercks, S., Medlin, L. K., and Metfies, K.: Colorimetric detection of the toxic dinoflagellate Alexandrium minutum using sandwich hybridization in a microtiter plate assay, Harmful Algae, 7, 137–145, https://doi.org/10.1016/j.hal.2007.06.005, 2008b.
Doney, S. C., Ruckelshaus, M., Duffy, J. E., Barry, J. P., Chan, F., English, C. A., Galindo, H. M., Grebmeier, J. M., Hollowed, A. B., Knowlton, N., Polovina, J., Rabalais, N. N., Sydeman, W. J., and Talley, L. D.: Climate Change Impacts on Marine Ecosystems, Annual Review of Marine Science, 4, 11–37, https://doi.org/10.1146/annurev-marine-041911-111611, 2012.
Field, C. B., Behrenfeld, M. J., Randerson, J. T., and Falkowski, P.: Primary production of the biosphere: Integrating terrestrial and oceanic components, Science, 281, 237–240, https://doi.org/10.1126/science.281.5374.237, 1998.
Hugenholtz, P.: Exploring prokaryotic diversity in the genomic era, Genome Biology, 3, https://doi.org/10.1186/gb-2002-3-2-reviews0003, 2002.
Kilias, E., Wolf, C., Noethig, E.-M., Peeken, I., and Metfies, K.: Protist distribution in the Western Fram Strait in summer, J. Phycol., 49, 996–1010, https://doi.org/10.1111/jpy.12109, 2013.
Kilias, E., Kattner, G., Wolf, C., Frickenhaus, S., and Metfies, K.: A molecular survey of protist diversity through the central Arctic Ocean, Polar Biol., 61, 569–579, https://doi.org/10.1007/s00300-014-1519-5, 2014a.
Kilias, E. S., Noethig, E.-M., Wolf, C., and Metfies, K.: Picoeukaryote Plankton Composition off West Spitsbergen at the Entrance to the Arctic Ocean, J. Eukaryot. Microbiol., 33, 23466, https://doi.org/10.1111/jeu.12134, 2014b.
Kilias, E. S., Peeken, I., and Metfies, K.: Protist diversity in Arctic Sea Ice and Melt pond aggregates obtained by pyrosequencing – a short insight, Polar Res., 13, 74–80, https://doi.org/10.3402/polar.v33.23466, 2014c.
Kilias, E. S., Wolf, C., and Metfies, K.: Characterizing variability in marine protist communities via ARISA fingerprints – a method evaluation, Limnol. Oceanogr.-Meth., 13, 74–80, https://doi.org/10.1002/lom3.10008, 2015.
Kraberg, A. C., Rodriguez, N., and Salewski, C. R.: Historical phytoplankton data from Helgoland Roads: Can they be linked to modern time series data?, J. Sea Res., 101, 51–58, https://doi.org/10.1016/j.seares.2015.03.004, 2015.
Leibold, M. A.: Resources and predators can affect the vertical distributions of zooplankton, Limnol. Oceanogr., 35, 938–344, https://doi.org/10.4319/lo.1990.35.4.0938, 1990.
Mackas, D. L., Denman, K. L., and Abbott, M. R.: Plankton Patchiness-Biology in the physical vernacular, B. Mar. Sci., 37, 652–674, 1985.
McQuatters-Gollop, A., Edwards, M., Helaouet, P., Johns, D. G., Owens, N. J. P., Raitsos, D. E., Schroeder, D., Skinner, J., and Stern, R. F.: The Continuous Plankton Recorder survey: How can long-term phytoplankton datasets contribute to the assessment of Good Environmental Status?, Estuar. Coast. Mar. Sci., 162, 88–97, https://doi.org/10.1016/j.ecss.2015.05.010, 2015.
Mellard, J. P., Yoshiyama, K., Litchman, E., and Klausmeier, C. A.: The vertical distribution of phytoplankton in stratified water columns, J. Theor. Biol., 269, 16–30, https://doi.org/10.1016/j.jtbi.2010.09.041, 2011.
Medlin, L., Elwood, H. J., Stickel, S., and Sogin, M.L.: The characterization of enzymatically amplified eukaroytic 16S-like rRNA coding regions, Gene, 71, 491–499, https://doi.org/10.1016/0378-1119(88)90066-2, 1988.
Metfies, K. and Medlin, L. K.: Refining cryptophyte identification with DNA-microarrays, J. Plankton Res., 29, 1071–1075, https://doi.org/10.1093/plankt/fbm080, 2007.
Metfies, K., Gescher, C., Frickenhaus, S., Niestroy, R., Wichels, A., Gerdts, G., Knefelkamp, B., Wiltshire, K., and Medlin, L.: Contribution of the class Cryptophyceae to phytoplankton structure in the German Bight, J. Phycol., 46, 1152–1160, https://doi.org/10.1111/j.1529-8817.2010.00902.x, 2010.
Metfies, K., von Appen, W. J., Kilias, E., Nicolaus, A., and Noethig, E. M.: Biogeography and photosynthetic biomass of arctic marine pico-eukaroytes during summer of the record sea ice minimum 2012, Plos One, 11, e0148512, https://doi.org/10.1371/journal.pone.0148512, 2016.
Nehring, S.: Establishment of thermophilic phytoplankton species in the North Sea: biological indicators of climatic changes?, ICES J. Mar. Sci., 55, 818–823, https://doi.org/10.1006/jmsc.1998.0389, 1998.
Petersen, W.: FerryBox systems: State-of-the-art in Europe and future development, J. Marine Syst., 140, 4–12, https://doi.org/10.1016/j.jmarsys.2014.07.003, 2014.
Quast, C., Pruesse, E., Yilmaz, P., Gerken, J., Schweer, T., Yarza, P., Peplies, J., and Gloeckner, F. O.: The SILVA ribosomal RNA gene database project: improved data processing and web-based tools, Nucleic Acids Res., 41, D590–D596, https://doi.org/10.1093/nar/gks1219, 2013.
Soltwedel, T.: HAUSGARTEN: multidisciplinary investigations at a deep-sea, long-term observatory in the Arctic Ocean, Oceanography, 18, 15, https://doi.org/10.5670/oceanog.2005.24, 2005.
Sunagawa, S., Coelho, L. P., Chaffron, S., Kultima, J. R., Labadie, K., Salazar, G., Djahanschiri, B., Zeller, G., Mende, D. R., Alberti, A., Cornejo-Castillo, F. M., Costea, P. I., Cruaud, C., d'Ovidio, F., Engelen, S., Ferrera, I., Gasol, J. M., Guidi, L., Hildebrand, F., Kokoszka, F., Lepoivre, C., Lima-Mendez, G., Poulain, J., Poulos, B. T., Royo-Llonch, M., Sarmento, H., Vieira-Silva, S., Dimier, C., Picheral, M., Searson, S., Kandels-Lewis, S., Bowler, C., de Vargas, C., Gorsky, G., Grimsley, N., Hingamp, P., Iudicone, D., Jaillon, O., Not, F., Ogata, H., Pesant, S., Speich, S., Stemmann, L., Sullivan, M. B., Weissenbach, J., Wincker, P., Karsenti, E., Raes, J., Acinas, S. G., and Bork, P.: Structure and function of the global ocean microbiome, Science, 348, 6237, https://doi.org/10.1126/science.1261359, 2015.
Thiele, S., Wolf, C., Schulz, I. K., Assmy, P., Metfies, K., and Fuchs, B. M.: Stable Composition of the Nano- and Picoplankton Community during the Ocean Iron Fertilization Experiment LOHAFEX, Plos One, 9, 0113244, https://doi.org/10.1371/journal.pone.0113244, 2014.
Toebe, K., Alpermann, T. J., Tillmann, U., Krock, B., Cembella, A., and John, U.: Molecular discrimination of toxic and non-toxic Alexandrium species (Dinophyta) in natural phytoplankton assemblages from the Scottish coast of the North Sea, Eur. J. Phycol., 48, 12–26, https://doi.org/10.1080/09670262.2012.752870, 2013.
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., Egholm, M., Henrissat, B., Heath, A. C., Knight, R., and Gordon J. I.: A core gut microbiome in obese and lean twins, Nature, 457, 480–484, https://doi.org/10.1038/nature07540, 2009.
Ussler, W., Preston, C., Tavormina, P., Pargett, D., Jensen, S., Roman, B., Marin, R., Shah, S. R., Girguis, P. R., Birch, J. M., Orphan, V., and Scholin C.: Autonomous Application of Quantitative PCR in the Deep Sea: In Situ Surveys of Aerobic Methanotrophs Using the Deep-Sea Environmental Sample Processor, Environ. Sci. Technol., 47, 9339–9346, https://doi.org/10.1021/es4023199, 2013.
Wassmann, P., Ratkova, T., and Reigstad, M.: The contribution of single and colonial cells of Phaeocystis pouchetii to spring and summer blooms in the north-eastern North Atlantic, Harmful Algae, 4, 823–840, https://doi.org/10.1016/j.hal.2004.12.009, 2005.
Wiltshire, K. H., Kraberg, A., Bartsch, I., Boersma, M., Franke, H.-D., Freund, J., Gebuehr, C., Gerdts, G., Stockmann, K., and Wichels, A.: Helgoland Roads, North Sea: 45 Years of Change, Estuar. Coasts, 33, 295–310, https://doi.org/10.1007/s12237-009-9228-y, 2009.
Woese, C. R.: Bacterial Evolution, Microbiol. Rev., 51, 221–271, 1987.
Wolf, C., Frickenhaus, S., Kilias, E. S., Peeken, I., and Metfies, K.: Regional variability in eukaryotic protist communities in the Amundsen Sea, Antarct. Sci., 25, 741–751, https://doi.org/10.1017/S0954102013000229, 2013.
Wolf, C., Kilias, E. S., and Metfies, K.: Evaluating the potential of 18S rDNA clone libraries to complement pyrosequencing data of marine protists with near full-length sequence information, Mar. Biol. Res., 10, 771–780, https://doi.org/10.1080/17451000.2013.852685, 2014a.
Wolf, C., Frickenhaus, S., Kilias, E. S., Peeken, I., and Metfies, K.: Protist community composition in the Pacific sector of the Southern Ocean during austral summer 2010, Polar Biol., 37, 375–389, https://doi.org/10.1007/s00300-013-1438-x, 2014b.
Wollschläger, J., Nicolaus, A., Wiltshire, K. H., and Metfies, K.: Assessment of North Sea phytoplankton via molecular sensing: a method evaluation, J. Plankton Res., 36, 695–708, https://doi.org/10.1093/plankt/fbu003, 2014.
Wollschläger, J., Wiltshire, K. H., Petersen, W., and Metfies, K.: Analysis of phytoplankton distribution and community structure in the German Bight with respect to the different size classes, J. Sea Res., 99, 83–96, https://doi.org/10.1016/j.seares.2015.02.005, 2015.
Zhu, F., Massana, R., Not, F., Marie, D., and Vaulot, D.: Mapping of picoeucaryotes in marine ecosystems with quantitative PCR of the 18S rRNA gene, FEMS Microbiol. Ecol., 52, 79–92, https://doi.org/10.1016/j.protis.2012.11.006, 2005.
Zielinski, O., Busch, J. A., Cembella, A. D., Daly, K. L., Engelbrektsson, J., Hannides, A. K., and Schmidt, H.: Detecting marine hazardous substances and organisms: sensors for pollutants, toxins, and pathogens, Ocean Sci., 5, 329–349, https://doi.org/10.5194/os-5-329-2009, 2009.
Short summary
Here we introduce a new molecular-based observation strategy for high-resolution assessment of marine microbes (e.g., microalgae) in space and time. The observation strategy combines automated sampling on board ships or observation platforms with a variety of different molecular genetic methods for refined observation of marine microbes at adaquate scales, in order to better understand the impact of climate change on this group of organisms, which are at the base of marine food webs.
Here we introduce a new molecular-based observation strategy for high-resolution assessment of...
