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GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Seventh Framework Programme Theme 6 Environment FP7-ENV.2010.2.2.1-2 Global plankton data set building in view of modeling Grant agreement for: Collaborative Project. Small- or medium scale focused research project for specific cooperation actions (SICA) dedicated to international cooperation partner countries Project acronym: GREENSEAS Project title: Development of global plankton data base and model system for eco-climate early warning Grant agreement no. Start date of project: Duration: Project coordinator: 265294 01.01.11 36 months Nansen Environmental and Remote Sensing Center, Bergen, Norway D3.3: Report on province-specific microbial stocks, rates of group-specific production and trophic interactions in the Atlantic Ocean Due date of deliverable: 31.03.2013 Actual submission date: 22.04.2014 Organization name of lead contractor for this deliverable: NERC Authors: Manuela Hartmann and Mikhail V. Zubkov Project co-funded by the European Commission within the Seventh Framework Programme, Theme 6 Environment Dissemination Level PU Public X PP Restricted to other programme participants (including the Commission) RE Restricted to a group specified by the consortium (including the Commission) CO Confidential, only for members of the consortium (including the Commission) Document1 Page: 1/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 ISSUE DATE CHANGE RECORDS AUTHOR 0 1 2 17/09/2013 16/10/2013 27/03/2014 Report first draft Report second draft Report third draft 3 22/04/2014 Included DOI’s for datasets M. Hartmann M. Hartmann M. Hartmann/ M. Zubkov M. Hartmann Document1 Page: 2/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 SUMMARY Report on province-specific microbial stocks, rates of group-specific production and trophic interactions in the Atlantic Ocean. In line with the GreenSeas deliverable 3.3 the advanced measurements of microbial stocks, growth rates based on carbon fixation as well as the control of the bacterioplankton by small protist predators are reported. Microbial stocks were measured by flow cytometry. The flow cytometric sorting was combined with prior radiotracer labelling of microbial plankton samples to determine CO2 fixation, amino acid and phosphate uptake rates of dominant microbial groups, which were phylogenetically affiliated using molecular tools. The collected data directly feeds into GreenSeas WP5 and 6 for indicator development and ecosystem modelling, respectively. The report is organised in three chapters: 1) Province-specific microbial stocks and bacterial production 2) Group-specific carbon fixation rates 3) Trophic interactions Document1 Page: 3/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 GREENSEAS CONSORTIUM Participant no. Participant organisation name Short name Country 1 (Coordinator) Nansen Environmental and Remote Sensing Center NERSC NO 2 3 4 5 6 7 Plymouth Marine Laboratory PML UNI Research UNI Research National Environment Research Council NERC Murmansk Marine Biological Institute MMBI Council for Scientific and Industrial Research CSIR University of Cape Town UCT Centro Euro-Mediterraneo per i Cambiamenti Climatici CMCC SCARL Universidade Federal do Rio Grande FURG 8 9 UK NO UK RU ZA ZA IT BR No part of this work may be reproduced or used in any form or by any means (graphic, electronic, or mechanical including photocopying, recording, taping, or information storage and retrieval systems) without the written permission of the copyright owner(s) in accordance with the terms of the GREENSEAS Consortium Agreement (EC Grant Agreement 265294). All rights reserved. This document may change without notice. Document1 Page: 4/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Table of Contents Table of Contents ............................................................................................................................ 5 1 2 3 Province-specific microbial stocks ........................................................................................... 8 1.1 Introduction ..................................................................................................................... 8 1.2 Materials and Methods ................................................................................................... 8 1.3 Results and Discussion..................................................................................................... 8 1.4 Conclusion ..................................................................................................................... 12 1.5 References ..................................................................................................................... 12 Carbon fixation and growth rates of specific populations in Atlantic Ocean ........................ 14 2.1 Introduction ................................................................................................................... 14 2.2 Materials and Methods ................................................................................................. 14 2.3 Results and Discussion................................................................................................... 17 2.4 Conclusion ..................................................................................................................... 19 2.5 References ..................................................................................................................... 19 Trophic interactions - Mixotrophic basis of the Atlantic Ocean (Hartmann et al. 2012) ...... 22 3.1 Introduction ................................................................................................................... 22 3.2 Materials and Methods ................................................................................................. 22 3.3 Results ........................................................................................................................... 27 3.4 Discussion ...................................................................................................................... 31 3.5 Conclusion ..................................................................................................................... 31 3.6 References ..................................................................................................................... 32 List of Figures Document1 Page: 5/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 1-1. Microbial cell abundance along an Atlantic Meridional Transect cruise. Populations are indicated by colors: low nucleic acid bacteria (grey), Prochlorococcus (yellow), Synechococcus (red), plastidic eukaryotes (green) and aplastidic eukaryotes (blue) ...................................................................................... 9 Figure 1-2. Contribution of Prochlorococcus cyanobacteria (yellow), Synechococcus cyanobacteria (red) and small and large plastidic eukaryotes (light and dark green respectively) to the microbial biomass along an Atlantic Meridional transect .......... 10 Figure 1-3. Example of the bioassay technique using 3H-labelled leucine to measure microbial uptake rates, ambient concentration and turnover time ........................... 11 Figure 1-4. Microbial uptake rates (blue) and ambient concentrations of leucine (yellow) along an Atlantic Meridional Transect. .................................................................... 12 Figure 2-1 Cruise track of the RRS James Cook on AMT-20, 2010. Different oceanic regions are indicated. NG=Northern Subtropical Gyre, EQ=equatorial waters, SG=Southern Subtropical Gyre, ST=Southern temperate waters ........................... 15 Figure 3-1 A schematic map of the Atlantic Ocean showing the area sampled in the 2007, 2008, 2009 and 2010 cruises ....................................................................... 23 Figure 3-2. Characteristic flow cytometric signatures of SYBR Green I - DNA stained bacterioplankton (a-b) and smallest planktonic protists (c-f). The groups were differentiated according to light scattering properties (90° or side light scatter, SSC), relative concentration of SYBR Green I stain per particle (green fluorescence, FL1, 530±30nm), and chlorophyll content (red fluorescence, FL3, >650nm). Bpl=Bacterioplankton, Plast-S=small, plastidic protists, Plast-L=large, plastidic protists, Aplast=aplastidic protists .......................................................................... 26 Figure 3-3. A comparison of mean rates of cell bacterivory by the flow-sorted aplastidic (Aplast), large plastidic (Plast-L) and small plastidic (Plast-S) protists in the five Atlantic regions (NT=Northern temperate, NG=North subtropical gyre, EQ=equatorial waters, SG=South subtropical gyre, ST=Southern temperate). The numbers next to the region abbreviations indicate the year of sampling, and then the numbers in brackets indicate the number of separate experiments performed in each region. The rates were calculated using 35S-methionine pulse-chase tracing. Error bars show single standard deviations to indicate the variance of rates within regions. .................................................................................................................. 29 Figure 3-4 A comparison of mean absolute (a) and relative (b) population biomass and mean absolute (c) and relative (d) population bacterivory of aplastidic (Aplast), large plastidic (Plast-L) and small plastidic (Plast-S) protists in the five Atlantic regions (NT=Northern temperate, NG=North subtropical gyre, EQ=equatorial waters, SG=South subtropical gyre, ST=Southern temperate). The numbers next to the region abbreviations indicate the year of sampling. The numbers in brackets indicate the number of experiments done in each region. The rates were calculated using 35S-methionine pulse-chase tracing. Error bars show single standard deviations to indicate the variance of biomass and rates within regions. ................ 30 List of Tables Document1 Page: 6/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Table 2-1 Regional differences of photosynthetic microbial communities in average per cell CO2 fixation rates ............................................................................................. 18 Table 2-2. Regional differences of photosynthetic microbial communities of populationspecific CO2 fixation rates. ..................................................................................... 18 Document1 Page: 7/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 1 Province-specific production rates microbial stocks and Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 bacterial 1.1 Introduction At the core of the open Atlantic Ocean ecosystems are microbial communities, which are numerically dominated by tiny cells with diameter less than 5 µm. The photosynthetic part of these communities comprise two types of cyanobacteria belonging to the genera Synechococcus and Prochlorococcus complemented by the smallest eukaryotic phytoplankton of the classes Pelagophyceae, Chlorophyceae, Prymnesiophyceae and Prasinophyceae (Grob et al., 2011). The rest of the microbial communities depend on the primary production of these phytoplankton, particularly the numerically dominant heterotrophic bacteria of the SAR11 cluster (Alphaproteobacteria), whose growth is controlled by the amount of dissolved organic molecules released by phytoplankton. Therefore accurate separation of heterotrophic bacteria from their phototrophic counterparts is crucial for adequate modelling of biogeochemical cycles mediated by the oceanic microbial communities. Within the framework of the GreenSeas project and the Atlantic Meridional Transect programme, such separation was achieved by flow cytometry using cellular pigmentation, DNA content and size. The pronounced changes in microbial community structure along the Atlantic Meridional Transect allowed to separate five major oceanic provinces: Northern temperate waters (NT), Northern subtropical gyre (NG), equatorial waters (EQ), Southern subtropical grey (SG) and the southern temperate waters (ST). 1.2 Materials and Methods Determination of microbial cell numbers Microbial populations were differentiated and enumerated using the FACSort or FACS Calibur flow cytometer (Becton-Dickinson, UK). Prochlorococcus cyanobacteria (Pro) were enumerated in unstained, live samples on the basis of chlorophyll pigmentation and size and in stained, fixed samples using DNA content and size as defining parameters. Synechococcus cyanobacteria (Syn) cell numbers were determined in unstained, live samples using phycoerythrin as a specific marker. Small plastidic eukaryotes (2µm, Plast-S), large plastidic eukaryotes (3µm, Plast-L) and large, aplastidic eukaryotes (3µm, Aplast) were enumerated in stained, paraformaldehyde-fixed samples. Briefly, subsamples were taken from a 20L carboy and fixed with 1% v/v paraformaldehyde (PFA, final concentration, Sigma-Aldrich, Germany) for 1h in the dark at room temperature and stained with SybrGreen I dye (Sigma-Aldrich, Germany )(Marie, et al., 1997). As internal standard a mixture of 0.5m and 1.0m multi-fluorescent beads (Polysciences, USA) at a defined concentration was added to the samples prior to analyses. Document1 Page: 8/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Determination of uptake rates, turnover time and biologically available concentrations of inorganic and organic substrates Bioassays with radiolabelled leucine, methionine, inorganic and organic phoshorate were used to determine bacterial production and uptake rates of phosphorus in the Atlantic Ocean. Briefly, the samples were incubated with different concentrations of 3H-labelled leucine, 35S-labelled methionine or 33P-labelled phosphoric acid (inorganic phosphate) or adenosine-tri-phosphate (organic phosphate) and subsamples fixed with 1% w/v paraformaldehyde at certain time points (10, 20, 30 and 40 min). Samples were then filtered on 0.2 µm polycarbonate filters to collect microbial cells. Radioactivity of labelled substrates taken up by microbial cells was measured using a liquid scintillation counter (TriCarb3100, PerkinElmer). For detailed description of method please refer to Wright and Hobbie (1966) and Zubkov et al. (2007 and 2008). 1.3 Results and Discussion The microbial communities of the open Atlantic Ocean are numerically dominated by Prochlorococcus cyanobacteria and low nucleic acid containing bacteria (Figure 1-1). Synechococcus cyanobacteria and small plastidic and aplastidic eukaryotes (< 3µm) represent only a minor fraction of the total community (Figure 1-1). Cell numbers, ml-1 107 106 105 104 103 102 -40 -20 0 20 40 Latitude, oN Figure 1-1. Microbial cell abundance along an Atlantic Meridional Transect cruise. Populations are indicated by colors: low nucleic acid containing bacteria (grey), Prochlorococcus (yellow), Synechococcus (red), plastidic eukaryotes (green) and aplastidic eukaryotes (blue) Document1 Page: 9/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Prochlorococcus cyanobacteria dominate the biomass of the phototrophic part of the microbial communities in the oligotrophic regions while Synechococcus cyanobacteria and small plastidic eukaryotes dominate in temperate waters (Figure 1-2). Figure 1-2. Contribution of Prochlorococcus cyanobacteria (yellow), Synechococcus cyanobacteria (red) and small and large plastidic eukaryotes (light and dark green respectively) to the microbial biomass along an Atlantic Meridional transect Biogeochemical cycling of organic and inorganic substrates within the bacterioplankton populations were determined using a concentration dependent bioassay technique developed first by Wright and Hobbie (1966). The bioassay method reveals bioavailable ambient concentrations, microbial uptake rates and turnover times of the chosen substrates (Figure 1-3). Document1 Page: 10/34 GREENSEAS Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Bioassay computation 40 4x103 3x103 Leu turnover time, h 0.05 nM 0.1 nM 0.2 nM 0.4 nM 0.6 nM 0.8 nM 5x103 2x103 1x103 30 20 10 3 H-Leupart, DPM per sample Concentration series 0 0 10 20 Incubation time, min 30 -0.2 0.0 0.2 0.4 0.6 0.8 added Leu, nM Figure 1-3. Example of the bioassay technique using 3H-labelled leucine to measure microbial uptake rates, ambient concentration and turnover time Comparison of leucine uptake rates in different regions showed that uptake rates are not significantly different in the Northern and Southern subtropical gyres, while they are slightly higher in the temperate and equatorial regions (see Figure 1-4 for an example and also Hill et al. 2011). Especially in the North Atlantic gyre, where phosphate concentrations are particularly low, it is important to understand phosphate dynamics. Using the bioassay technique in combination with flow cytometrical cell sorting we determined that the major consumers of bio-available phosphate were low nucleic acid bacteria and Prochlorococcus cyanobacteria, whilst Synechococcus (7%) and picoeukaryotic (0.3%) phytoplankton played minor roles in direct phosphate uptake. Document1 Page: 11/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 1-4. Microbial uptake rates (blue) and ambient concentrations of leucine (yellow) along an Atlantic Meridional Transect. 1.4 Conclusion The relatively uniform distribution of Prochlorococcus in the photic layer of the oligotrophic Atlantic gyres suggests that these regions are balanced, i.e. consumer’s demand can be sustained by phytoplankton via production of organic matter. Growth of heterotrophic bacteria might be restricted in these regions due to the economical growth of Prochlorococcus releasing only limited amounts of dissolved organic matter. Biomass dominance in conjunction with high carbon fixation rates (see Section 2) and their unique photoheterotrophic life style make Prochlorococcus a key player in the Atlantic Ocean ecosystems. Therefore we advise ecosystem modellers to parameterise Prochlorococcus in their novel model developments. As a result of our bioassay measurements, GreenSeas WP5 was advised that it is valid to use an average microbial uptake rate for inorganic phosphorus or leucine for the Atlantic Ocean gyres to parameterise the model since no significant regional differences were observed. Variability of microbial uptake rates is much more pronounced in coastal and upwelling regions than in the vast oligotrophic areas of the Atlantic Ocean (Hill et al., 2011). The intriguingly low phosphate uptake rates of plastidic eukaryotes pose a question of how these eukaryotes can meet their phosphate demands. We hypothesize that mixotrophy, i.e. feeding on bacterial prey; can supply enough phosphate for growth of plastidic eukaryotes with the additional advantage of reducing numbers of potential competitors such as Prochlorococcus cyanobacteria (for details see Section 3). Document1 Page: 12/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 1.5 Publications Journals Hill PG, Mary I, Purdie DA, Zubkov MV (2011). Similarity in microbial amino acid uptake in surface waters of the North and South Atlantic (sub-)tropical gyres. Prog. Oceanogr. 91: 437446. Data series: Holland R.J.; Zubkov M.V. (2014). Abundance and composition of microbial plankton communities using flow cytometry on cruise AMT20 (JC053). British Oceanographic Data Centre - Natural Environment Research Council, UK. doi:10/sc3. Gomez-Pereira P.; Hartmann M.; Zubkov M.V. (2014). Ambient concentrations, microbial turnover rates and turnover times of methionine, leucine and organic phosphate measured on cruise AMT20 (JC053). British Oceanographic Data Centre - Natural Environment Research Council, UK. doi:10/sc4. 1.6 References Marie D, Partensky F, Jacquet S & Vaulot D (1997) Enumeration and cell cycle analysis of natural populations of marine picoplankton by flow cytometry using the nucleic acid stain SYBR Green I. Appl Environ Microbiol 63: 186-193. Wright RT & Hobbie JE (1966) Use of glucose and acetate by bacteria and algae in aquatic ecosystems. Ecol 47: 447-464. Zubkov MV, Tarran GA, Mary I & Fuchs BM (2008) Differential microbial uptake of dissolved amino acids and amino sugars in surface waters of the Atlantic Ocean. J Plankton Res 30: 211220. Zubkov MV, Mary I, Woodward EMS, Warwick PE, Fuchs BM, Scanlan DJ & Burkill PH (2007) Microbial control of phosphate in the nutrient-depleted North Atlantic subtropical gyre. Environ Microbiol 9: 2079-2089. Document1 Page: 13/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 2 Carbon fixation and growth populations in Atlantic Ocean rates Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 of specific 2.1 Introduction Oceans phytoplankton are only a minute fraction of the photosynthetic biomass on Earth, but they contribute almost half of the primary production (45-50 billion tonnes vs. 52 billion tonnes, marine vs. terrestrial systems). Prochlorococcus cyanobacteria (Pro) are the most abundant photosynthetic organism on Earth occupying niches in the low latitude and oligotrophic marine environments. Small plastidic eukaryotes are the other key primary producers in these ecosystems, while Synechococcus cyanobacteria, preferring more nutrient replenished environments, abundances are very low and hence their contribution to carbon fixation is minute. Oligotrophic gyres cover >40% of the ocean surface and are predicted to expand because of climatic changes (Polovina, et al., 2008), hence the global distribution of Pro might change. Due to their high abundances it is generally assumed, that Pro is a major primary producer in these systems, but due to difficulties with separating Pro, because of their low pigment content, proof remains focused on the deep Pro (Chisholm, et al., 1988) or small areas of the ocean (Li, 1994, Jardillier, et al., 2010). Hence, actual information on the contribution of Pro to primary production is very limited. Here, we provide for the first time in detail analyses of surface Prochlorococcus, Synechococcocus and small plastidic eukaryotes CO2 fixation rates and their respective contribution to primary production in the Atlantic subtropical gyres and adjacent regions. We compare Prochlorococcus uptake rates to their phototrophic competitors. Moreover, we show that flow cytometrical sorting of surface Pro according to pigmentation can skew CO 2 fixation rates and suggest that DNA-content as a sorting parameter is more precise and reliable. Furthermore, the data proves beyond doubt that Pro dominates primary production in the surface layer of the low latitude Atlantic Ocean. 2.2 Materials and Methods Sampling 20L sea water sample were taken from the pre-dawn CTD casts into an acid-rinsed polycarbonate carboy on the AMT-20 cruise in 2010 (Atlantic Meridional Transect) on board the UK RRS James Cook (Figure 2-1). To prevent exposure of cells to artificial light on board, the carboy was covered completely with two layers of dark plastic. Samples were immediately processed. Document1 Page: 14/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 2-1 Cruise track of the RRS James Cook on AMT-20, 2010. Different oceanic regions are indicated. NG=Northern Subtropical Gyre, EQ=equatorial waters, SG=Southern Subtropical Gyre, ST=Southern temperate waters Catalysed reporter deposition fluorescence in situ hybridisations (CARD-FISH) on flow cytometrically sorted cells In order to confirm that the targeted bacterial population consists mainly of Pro cells, catalysed reporter deposition fluorescence-in-situ-hybridisations were performed on sorted cells using the Prochlorococcus-specific probe PRO405 (West, et al., 2001) at selected stations covering each province (NG=Northern subtropical gyre, EQ=equatorial waters, SG=Southern subtropical gyre). Flow cytometric cell sorting and CARD-FISH were carried out according to Gomez-Pereira et al. (2013). Total and group-specific CO2 fixation Prior to each experiment, 60ml Pyrex glass bottles (Fisher Scientific, UK) were acid-soaked over night (10% HCl) and rinsed twice with 30ml sample seawater. After washing, 60ml of seawater sample were added to each bottle and spiked with tracemetal-clean 14C radiolabelled sodium bicarbonate (DHI, Denmark). Samples were then incubated at ambient temperatures (regulated by a refrigerated water bath (Grant Instruments, UK)) in a 6L water tank illuminated by a warm white light-emitting diode array (Photon Systems Instruments, Czech Republic) adjusted to a constant output of 500 µmol photons m-2 s-1. The chosen light intensity equals half the irradiance reaching the water surface noon-time in the equatorial region. In contrast to Document1 Page: 15/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 incubations at ambient light, the constant light output makes it possible to compare different stations. Two different concentrations of 14C sodium bicarbonate were used in order to determine total CO2 fixation during a time series and to measure CO2 fixation of flow cytometrically sorted phytoplankton populations, respectively. Time series were carried out to ensure linear uptake of label and to ensure that the small volumes of sorted cells are representative for the whole community. For time series CO2 fixation measurements, to six 60ml Pyrex glass bottles 3.7 kBq ml-1 14C sodium bicarbonate was added and bottles were incubated for 2, 4, 6, 8, 10 h in the light, plus one bottle incubated for 10h in the dark. At each discrete time point, the whole bottle was sacrificed by adding 1% v/v PFA (final concentration). After incubation for 1h at room temperature the complete sample was filtered on a 0.2 µm polycarbonate filter (Nuclepore, Whatman, UK), washed three times with ultra-clean water (MQ system, Millipore, Whatman, UK) and placed in a scintillation vial. Before addition of 5ml scintillation cocktail (Goldstar, Meridian, UK), 1ml of 10% v/v HCl was added, the vial gently swirled and incubated for 1030min to fume out remaining unbound 14C sodium bicarbonate. Due to the small size of the organisms higher 14C sodium bicarbonate concentrations were used to determine group-specific CO2 fixation rates. To 60ml seawater sample in a Pyrex glass bottle 246kBq ml-1 of 14C sodium bicarbonate were added, the sample incubated for 10h and then fixed with 1% PFA (final concentration). Three 1.6ml subsamples were taken directly to determine total CO2 fixation and to sort stained Pro cells. 20ml of the sample were concentrated on a 0.6µm polycarbonate filter (Nuclepore, Whatman, UK) mounted in a filtration unit (Swynnex, Millipore, UK) using a syringe pump (KD Scientific, USA) at a flow rate of 2.5ml min-1 in order to concentrate and sort cyanobacteria. The remaining sample was concentrated on a 0.8µm polycarbonate filter (Nuclepore, Whatman, UK) the same way to enrich eukaryotic phytoplankton. Apart from the 0.6µm concentrated fraction all samples were stained with SybrGreen I according to the protocol described above, stored at 4°C and sorted flow cytometrically within 10h. Flow cytometrical cell sorting Different phytoplankton populations were sorted according to light-scattering properties (90° or side light scatter), relative concentration of SYBR Green I stain per particle (green fluorescence; FL1, 530±30nm), phycoerythrin-content (orange fluorescence, FL2 580±30nm) and chlorophyll content (red fluorescence; FL3, >650nm) using a FACSort instrument (Becton Dickinson). Due to their low pigmentation in surface waters we sorted Pro cells according to side scatter and FL1 properties from unconcentrated, SybrGreen I stained samples, where a distinct bacterial population could be observed, which was verified to consist mainly of Pro by CARD-FISH Document1 Page: 16/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 analyses (Mary et al. (2008) and our own data), Syn cells were sorted according to phycoerythrin content from 0.6µm concentrated samples. Eukaryotic Plast-S and Plast-L populations were sorted from 0.8µm concentrated, stained samples using side scatter, SybrGreen I stain and chlorophyll content as defining parameters. For each population 4-6 replicates of different cell numbers were sorted. Bacterial and eukaryotic cells were collected on 0.2µm and 0.8µm polycarbonate filters respectively and treated following the same procedure as for total CO2 fixation measurements (see above) before counting. Radio-assaying of samples was carried out using an ultra-low-level liquid scintillation counter (1220 Quantulus, Wallac). Data analyses Cell specific carbon fixation rates were determined from average per cell values of each of the sorted replicates and converted to fg C cell-1 h-1 according to Parsons et al. (1984). CO2 fixation rates of different populations were calculated by multiplying the cell-specific CO2 fixation rates with the group’s abundance. A conversion factor of 200 fg C µm-3 (Waterbury, et al., 1986) was used to calculate biomass-specific CO2 fixation rates assuming spherical cell shape and average cell diameters of 2.0 and 3.1µm for Plast-S and Plast-L cells respectively (Zubkov, et al., 2000, Hartmann, et al., 2012). For Pro and Syn cells conversion factors of 220fg C µm-3 (Li, 1994) and cell diameters of 0.52 and 0.95µm (Zubkov, et al., 1998, Zubkov, et al., 2000) were applied. Statistical analyses were carried out using SigmaPlot 12.5, in case of normal distribution and equal variance, t-tests were carried out for comparison. If the data was non-normally distributed or the equal variance test failed, t-tests were replaced by Mann-Whitney Rank sum tests. 2.3 Results and Discussion Prochlorococcus CO2 fixation efficiency in comparison to other phototrophic groups Understanding primary production in an ecosystem necessitates knowledge of the different groups contributing to it. Pro cyanobacteria, are a major part of the phototrophic microbial community in the low latitude Atlantic Ocean, yet remain quite elusive to study due to their small size and low chlorophyll content. Because of their extremely low chlorophyll content, it is virtually impossible to confidently count or separate these cells in the upper part of the photic zone based on cellular pigment alone (Chisholm, et al., 1988). It even became a modern engineering challenge to enhance sensitivity of flow cytometers to unambiguously enumerate Pro cells by autofluorescence (Olson, et al., 1990). Average per cell CO2 fixation rates were measured for cyanobacterial (Pro and Syn) and eukaryotic (Plast-S and Plast-L) organisms (Table 2-1). As expected, a strong positive correlation of cell size and CO2 fixation was observed. Surprisingly, biomass normalised values did not follow the expected negative correlation between cell volume and biomass-specific CO2 uptake. It is true, that the larger eukaryotic organisms were significantly less efficient in CO2 uptake than their cyanobacterial counterparts (Mann-Whitney, p<0.001). But within the groups biomass- Document1 Page: 17/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 specific CO2 fixation was actually positively correlated to cell size, i.e. Plast-S were less efficient than Plast-L (t-test, p=0.01), whilst for the cyanobacteria Syn showed on average slightly higher CO2 fixation than Pro (t-test, p=0.04). The addition of nutrients in the form of deep water (300m depth) had no significant effect on the Pro or Syn CO2 fixation rates (t-test, p>0.5) CO2 fixation Plast-L s.d. Plast-S s.d. Pro s.d. Syn s.d. NG 63.13 11.06 12.88 1.72 0.37 0.02 4.95 1.71 EQ 94.94 21.45 15.84 3.89 0.85 0.21 6.67 1.18 SG 61.97 14.88 12.85 7.78 0.44 0.22 4.54 3.24 ST 59.46 41.66 7.50 4.21 0.50 0.24 2.24 2.16 [fg C cell-1 h-1] Table 2-1 Regional differences of photosynthetic microbial communities in average per cell CO 2 fixation rates Pro CO2 uptake rates in the two gyres were similar, but more than doubled in the EQ (t-test, p=0.002). Plast-L uptake rates followed the same pattern (t-test, p<0.001). In contrast, Plast-S as well as Syn cells showed similar rates for NG, SG, EQ, but significantly lower carbon fixation in the ST region (t-test, p=0.042 and p=0.032 respectively). See Table 2-1 for details. Prochlorococcus contribution to community CO2 fixation Despite their lower chlorophyll content Pro dominate CO2 fixation throughout the low latitude Atlantic Ocean (on average 55±12%, Fig. 4), followed by Plast-L (29±9%), Syn (10±9%) and Plast-S (6±6%) (Figure 2-2). Not surprisingly, gyre regions were less productive than EQ (t-test, p<0.001) and ST (t-test, p<0.001) (Table 2-2). Although the NG and SG were in different seasons (boreal autumn and austral spring) during the sampling period, CO2 fixation rates on the population level were similar. CO2 fixation Plast-L s.d. Plast-S s.d. Pro s.d. Syn s.d. NG 0.45 0.11 0.04 0.01 0.54 0.10 0.13 0.15 EQ 1.11 0.29 0.10 0.02 2.94 0.54 0.51 0.14 SG 0.57 0.24 0.16 0.15 1.30 0.95 0.12 0.08 ST 1.92 1.29 1.05 0.61 0.65 0.01 2.93 2.51 [mg C m-3 d-1] Table 2-2. Regional differences of photosynthetic microbial communities of population-specific CO2 fixation rates. Document1 Page: 18/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Our results show that the combination of high biomass and CO2 fixation rates ensures the dominance of Pro contribution to primary production (Figure 2-). The presented measurements of average CO2 fixation rates by these smallest phytoplankton cells are within a range of values, reported in literature for Pro living in deeper habitats (Chisholm, et al., 1988, Li, 1994) or less oligotrophic habitats (Jardillier, et al., 2010). The seminal study in the Sargasso Sea reported that Pro contributed 15-60% to total primary production at the bottom of the photic layer (Chisholm, et al., 1988). Pro contribution of 60% in the EQ Atlantic Ocean (Figure 2-2) favourably compared to their estimated contribution of up to 48% of total primary production in the Equatorial Pacific (Vaulot, et al., 1995). Figure 2-2. Relative contribution of different microbial groups to CO2 fixation (a) and biomass (b) in the Atlantic Ocean (Prochlorococcus (Pro), Synechococcus (Syn) and smaller and larger, plastidic eukaryotes (<2µm, Plast-S and 2-3µm, Plast-L). 2.4 Conclusion Despite their low chlorophyll content, Pro cyanobacteria are key players of primary production in the surface layer of the low latitude Atlantic Ocean contributing more than 55% of the total CO2 fixation. Based on satellite radiometer data Longhurst et al. (1995) estimated that oligotrophic regions could contribute >30% to the total marine primary production. Conservatively, Pro contribution could be then translated to 16% of the marine primary production or 8% of Earth’s total primary production, a significant contribution for the smallest phototrophic organism. Moreover, keeping in mind that the oligotrophic regions might expand due to climate change Pro might intrude into new areas. These findings indicate that Prochlorococcus should be specially taken into account when photosynthetic pigmentation data is used for deducing biological CO2 fixation in the oligotrophic open ocean. Hence, it is of utmost importance to fully understand the constraints and demands of these tiny organisms. 2.5 Publications Document1 Page: 19/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Journal Hartmann, M., Gomez-Pereira, P., Grob, C., Ostrowski, M., Scanlan, D.J., Zubkov, M.V. (2014). Efficient CO2 fixation by surface Prochlorococcus in the Atlantic Ocean. ISME J. Accepted Data series Hartmann M.; Gomez-Pereira P.; Grob C.; Zubkov M.V. (2014). CO2 fixation of dominant bacterial and eukaryotic groups for cruise AMT20 (JC053). British Oceanographic Data Centre Natural Environment Research Council, UK. doi:10/sc5. 2.6 References Chisholm SW, Olson RJ, Zettler ER, Goericke R, Waterbury JB & Welschmeyer NA (1988) A novel free-living prochlorophyte abundant in the oceanic euphotic zone. Nature 334: 340-343. Gomez-Pereira PR, Hartmann M, Grob C, et al. (2013) Comparable light stimulation of organic nutrient uptake by SAR11 and Prochlorococcus in the North Atlantic subtropical gyre. ISME J 7: 603-614. Hartmann M, Grob C, Tarran GA, Martin AP, Burkill PH, Scanlan DJ & Zubkov MV (2012) Mixotrophic basis of Atlantic oligotrophic ecosystems. Proc Nat Acad Sci USA 109: 5756-5760. Jardillier L, Zubkov MV, Pearman J & Scanlan DJ (2010) Significant CO2 fixation by small prymnesiophytes in the subtropical and tropical northeast Atlantic Ocean. ISME J 4: 1180-1192. Li WKW (1994) Primary production of prochlorophytes, cyanobacteria, and eukaryotic ultraphytoplankton - measurements from flow cytometric sorting. Limnol Oceano 39: 169-175. Mary I, Tarran GA, Warwick PE, Terry MJ, Scanlan DJ, Burkill PH & Zubkov MV (2008) Light enhanced amino acid uptake by dominant bacterioplankton groups in surface waters of the Atlantic Ocean. FEMS Microbiol Ecol 63: 36-45. Olson RJ, Chisholm SW, Zettler ER, Altabet MA & Dusenberry JA (1990) Spatial and temporal distributions of prochlorophyte picoplankton in the North Atlantic Ocean. Deep-Sea Res Part aOceano Res Papers 37: 1033-1051. Parsons TR, Maita Y & Lalli CM (1984) A manual of chemical and biological methods for seawater analysis. New York: Pergamon Press. Polovina JJ, Howell EA & Abecassis M (2008) Ocean's least productive waters are expanding. Geophys Res Lett 35. Vaulot D, Marie D, Olson RJ & Chisholm SW (1995) Growth of Prochlorococcus, a photosynthetic prokaryote, in the equatorial Pacific Ocean. Science 268: 1480-1482. Waterbury JB, Watson SW, Valois FW & Franks DG (1986) Biological and ecological characterization of the marine unicellular cyanobacterium Synechococcus Photosynthetic Picoplankton, (Platt T & Li W, eds.), Can Bull Fish Aquat Sci 214: 71-120. West NJ, Schonhuber WA, Fuller NJ, Amann RI, Rippka R, Post AF & Scanlan DJ (2001) Closely related Prochlorococcus genotypes show remarkably different depth distributions in two oceanic regions as revealed by in situ hybridization using 16S rRNA-targeted oligonucleotides. Microbiol 147: 1731-1744. Zubkov MV, Sleigh MA, Burkill PH & Leakey RJG (2000) Picoplankton community structure on the Atlantic Meridional Transect: a comparison between seasons. Prog Oceano 45: 369-386. Document1 Page: 20/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Zubkov MV, Sleigh MA, Tarran GA, Burkill PH & Leakey RJG (1998) Picoplanktonic community structure on an Atlantic transect from 50°N to 50°S. Deep Sea Res Part I: Oceano Res Papers 45: 1339-1355. Document1 Page: 21/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 3 Trophic interactions - Mixotrophic basis of the Atlantic Ocean 3.1 Introduction Prochlorococcus cyanobacteria and the SAR11 group are the most numerous bacterial microbes in the North Atlantic and South Atlantic subtropical gyres (Section 1), whereas small plastidic protists, comprising various taxonomic groups (e.g. Prymnesiophyceae and Chrysophyceae) (Cuvelier, et al., 2008, Lepere, et al., 2009, Jardillier, et al., 2010), are the most abundant among the eukaryotes, dominating over their aplastidic counterparts (Zubkov, et al., 2007). Current knowledge about the functioning of these microbe-controlled systems is relatively limited, due to the difficulty of directly studying microbes in an environment typified by low concentrations of organic and inorganic macronutrients. Our current understanding of oligotrophic ecosystem functioning suggests that the roles of different microbial populations are tightly defined. In the established paradigm (Azam, et al., 1983) for these systems, phytoplankton such as cyanobacteria and plastidic protists harvest light, fix CO2, and take up inorganic nutrients. These primary producers fuel the entire system, allowing heterotrophic bacterioplankton to thrive. In turn, populations of phototrophic and heterotrophic bacterial populations are controlled by viruses and aplastidic protist predators. Organic matter and inorganic nutrients, released by these control processes, in addition to cell death and bacterioplankton remineralisation of dissolved organic matter, sustain heterotrophic bacterioplankton and phytoplankton. However, more recent observations are at variance with this paradigm. Despite their low phosphate uptake, plastidic protists are major contributors to CO2 fixation (Section 2, Li, 1994, Jardillier, et al., 2010). Consequently, the C:P ratio, calculated using CO2 and phosphate uptake rates by plastidic protists, is unrealistically high, suggesting that osmotrophic uptake of phosphate cannot satisfy growth requirements. We hypothesize that plastidic protists compensate for the lack of inorganic nutrients by mixotrophy: They gain energy from sunlight and simultaneously prey on bacterioplankton to acquire inorganic nutrients, such as phosphate and amino acids. Here we show that plastidic protists prey on bacterioplankton in the surface mixed layer of both oligotrophic subtropical gyres and adjoining low-latitude pelagic regions of the Atlantic Ocean (40°N to 40°S). Owing to their high abundance, plastidic protists prevail over aplastidic protists in bacterivory. This evidence suggests that mixotrophy is crucial to sustain the functioning of oligotrophic marine ecosystems. 3.2 Materials and Methods Sampling This data, comprising 68 experiments, was collected in the Atlantic Ocean during one AMT cruise on board the UK RRS James Clark Ross in October–November 2008 and on two AMT cruises on board the UK RRS James Cook in October–November 2009 and 2010 (Figure 3-1). Document1 Page: 22/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Seawater samples were collected from a depth of 20 m before dawn with 20-L Niskin bottles mounted on a sampling rosette of a conductivity-temperature-depth profiler (Sea-Bird Electronics). In 2008 and 2009, experiments were set up within 20 min of sample collection in the dark at ambient temperature, controlled by a water bath to maintain temperature within 0.5 °C. In 2010, experiments were set up for dark and light measurements in a dark room using only a dim green light (LEE filter 090; transmission of 20–30% of light at 500–550 nm). Light incubation experiments were placed in a 6-L water tank illuminated by a warm white lightemitting diode (LED) array (Photon Systems Instruments, Czech Republic). Parallel dark incubations were done in a similar water tank but were isolated from light. Both tanks were plumbed into a refrigerated bath (Grant Instruments, UK) to maintain temperature within 0.5 °C of in situ temperature at the depth of sample collection. The LED array was adjusted to keep light intensity at 300μmol photons m−2·s−1 inside the incubation bottles. Figure 3-1 A schematic map of the Atlantic Ocean showing the area sampled in the 2007, 2008, 2009 and 2010 cruises Cell counting Bacterioplankton and protist cell concentrations were determined by flow cytometry (Figure 3-2) using FACSort and FACSCalibur instruments (Becton Dickinson). Samples were fixed with paraformaldehyde (PFA) 1% (wt/vol) final concentration and stained with SYBR Green I DNA dye (Marie, et al., 1997). A mixture of multifluorescent beads, of diameter 0.5μm and 1.0μm (Polysciences, USA), was used as an internal standard for fluorescence and flow rates. To Document1 Page: 23/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 compare protist population biomass, protist concentrations were multiplied by the corresponding cell biomass values. To estimate their cell sizes, the three groups of protists were flow-sorted, sorted cells being deposited on polycarbonate membrane filters with 0.2μm pore diameter. Filters were mounted onto glass slides and stained excessively with DAPI (final concentration 1μg ml−1) to reveal cell cytoplasm. Aplast cells were sorted and sized from four experimental samples on the 2009 cruise and from five experimental samples on the 2010 cruise, which represented all regions studied. Plast-L and Plast-S cells were sorted from five and four experimental samples on the 2010 cruise, respectively. At least 200 cells were measured at 1,000× magnification of an epifluorescence microscope (Axioscope 2; Zeiss, Germany) to estimate mean cell diameters. Mean cell diameters of each of the three protist groups were statistically similar in analyzed samples. The overall mean size of Plast-S cells of 2.0 ± 0.1μm was significantly lower (t test, P = 0.0002) than the overall mean for Plast-L cells of 3.1 ± 0.3μm, whereas the overall mean size of Aplast cells of 2.9 ± 0.3μm was statistically similar to the size of Plast-L cells. To estimate the biomass of the three protist groups, their cell biovolume was computed assuming that the cells were spheres with a diameter equal to the mean cell size. Cell biovolume was converted into cell biomass using a specific carbon content of 200fg C·μm−3, taken as a mean value from Christian and Karl (1994). Determining rates of protist bacterivory using pulse–chase dual labelling of natural communities Before an experiment, glass bottles (250mL, Schott; Fisher Scientific, UK) were soaked in 10% hydrochloric acid and rinsed twice with 50mL of sampled seawater (taken from the same Niskin bottle as that for the subsequent experiment). Seawater (250mL) from the sample was subsequently added to each washed glass bottle and spiked with L-[35S]methionine (specific activity >37TBq mmol-1; Hartmann Analytic, Germany), final concentration 0.25nM or 0.4nM, and L-[4,5-3H]leucine (specific activity 1.48–2.22TBq mmol-1; Hartmann Analytic, Germany), final concentration 0.5nM. After 1.5h incubation, nonradioactive methionine and leucine were added to final concentrations of 0.25μM, or 0.4μM and 0.5μM, respectively, to chase the radioactive amino acids (Zubkov & Sleigh, 1995, Zubkov & Tarran, 2008). Samples were incubated for 1.5h to stabilize pulses in bacterioplankton cells before taking subsamples (120mL; fixed with 1% (w/v) PFA at 3h and 9h) for the measurement of protist tracer uptake rates. After 1h of fixation, particulate material was collected onto 0.2-μm polycarbonate filters (Nuclepore; Whatman, UK) to measure the total sample radioactivity. Flow cytometric cell sorting For each time point, four different populations (total bacterioplankton (Bpl), Plast-S, Plast-L, and Aplast protists) were sorted (Figure 3-2). For each population, four to eight replicates of different cell numbers were sorted (Zubkov & Tarran, 2008). Sorted bacterioplankton cells were collected onto 0.2μm polycarbonate filters. Sorted protist cells were collected onto 0.8μm polycarbonate filters to reduce the retention of potentially by-sorted Bpl cells. Filters were Document1 Page: 24/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 washed with deionized water to remove contaminating tracer and placed into scintillation vials to which 5mL of scintillation mixture (GoldStar, Meridian, UK) was added. Subsequently, the vials were radioassayed for 0.5–2h (depending on sample radioactivity) using an ultra–low-level liquid scintillation counter (1220 Quantalus; Wallac, UK). Document1 Page: 25/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 3-2. Characteristic flow cytometric signatures of SYBR Green I - DNA stained bacterioplankton (a-b) and smallest planktonic protists (c-f). The groups were differentiated according to light scattering Document1 Page: 26/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 properties (90° or side light scatter, SSC), relative concentration of SYBR Green I stain per particle (green fluorescence, FL1, 530±30nm), and chlorophyll content (red fluorescence, FL3, >650nm). Bpl=Bacterioplankton, Plast-S=small, plastidic protists, Plast-L=large, plastidic protists, Aplast=aplastidic protists Data Analyses Using quench curves, the 3H label was deconvoluted from the 35S label, and the amount of each label was computed as Bq cell−1 by dividing the cumulative 3H or 35S radioactivity by the corresponding number of sorted cells. Cell bacterivory was calculated according to the following formula: Bacterivory = (Prtavg T2 × Bplavg T2 − 1 − Prtavg T1 × Bplavg T1 − 1) × (T2 − T1) − 1 ; where PrtavgT2 is the average activity of four to eight replicates of one of the protist groups at the second time point and PrtavgT1 is the same at the first time point; T1 and T2 are the first and second time points of the experiment (e.g., 3h and 9h, respectively); BplavgT1 and BplavgT2 are the average activity of four to eight replicates of the bacterioplankton cells at T1 and T2, respectively. Because of the pulse–chase experimental design, the activity of the Bpl was in most cases the same at T1 and T2 and a cumulative mean could be used. To verify that the increase in label between the first and second time points was statistically significant, t tests (P < 0.05) were carried out using SigmaPlot version 11.0 (Systat Software) and Quattro-Pro X4 (Corel) software. Errors were calculated according to SE propagation procedures. The majority of experiments (80%) showed a significant difference in protist radioactivity between the two time points and hence demonstrated bacterivorous activity of the Plast-S, Plast-L, and Aplast cells. We attribute nonsignificant bacterivory in some experiments to the detection limit of our method owing to the low radioactivities measured. All estimates of rates of cell bacterivory were included in calculations of average regional rates. The mean rates were all significantly higher than zero (t tests, P < 0.05). To calculate regional bacterivory of the protist populations, bacterivory per cell was multiplied by the corresponding mean concentration of protist cells ml−1. T-tests were used to compare mean values; SDs, derived from pooled variance, are used to show variability within regions. 3.3 Results Protist bacterivory was assessed on three Atlantic Meridional Transect (AMT) research cruises in October–November 2008, 2009, and 2010 encompassing subtropical oligotrophic gyres of the Northern and Southern hemispheres and the equatorial convergence area (Fig. 1). Temperate waters adjoining the Southern gyre were also examined. The results of an earlier study conducted in 2007 in North Atlantic temperate waters (Zubkov & Tarran, 2008) are included for comparison. Three populations of the smallest planktonic protists were examined: plastidic protists (i.e., chloroplast-containing) smaller, 2μm (Plast-S) and larger, 3μm (Plast-L) as well as aplastidic (without chloroplast) protists, 3μm (Aplast). In the majority of experiments, in all Document1 Page: 27/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 regions studied, tracer content of protist cells increased with time during the chase phase in contrast to stable or slightly decreased tracer content of bacterioplankton cells. The increase demonstrates bacterivory by the three types of protist cells. Moreover, the influence of light and dark incubation on bacterivory was studied on the cruise in 2010. No statistically significant light-induced differences (t-test, P > 0.1) in protist bacterivory were determined. The rates of cell bacterivory (i.e., the number of bacterioplankton cells consumed per protist cell h−1) by the Aplast protists were comparable in all regions apart from the Northern temperate (NT) region in summer (Figure 3-3). The difference between the Southern temperate (ST) and the NT regions was probably seasonal. Bacterivory by the Plast-L cells was the lowest in the Southern subtropical gyre (SG) in 2008 and 2010 but was comparable to bacterivory by Aplast cells in the ST region. Bacterivory by the Plast-S cells was lowest in temperate waters and in the SG in 2010. It was similar to bacterivory by the Plast-L cells in the NG in 2009 and in the SG in 2008, but lower in the SG in 2009 and 2010. Rates of bacterivory in the SG varied interannually. Cell bacterivory by all three types of protists was significantly higher in 2009 compared with 2008 and 2010, whereas the differences between 2008 and 2010 were insignificant (Figure 3-3). On the other hand, the concentration/biomass of the Plast-S population and the concentration of bacterioplankton were comparable between the 3 years (Figure 3-4), whereas the concentration/biomass of Aplast and the Plast-L protists was higher in 2010. Bacterioplankton, Synechococcus, and Prochlorococcus concentrations in the surface mixed layer of the two gyres were similar in 2009, whereas Plast-L and Aplast biomass was lower in the SG than in the NG, and the opposite was true for the Plast-S protists (Figure 3-3). The biomass of Plast-L protists was highest in all regions, followed by the biomass of Aplast and Plast-S protists (Figure 3-4). The combined biomass of the two plastidic protist groups made up between 65% and 90% of the combined biomass of the smallest protists (Figure 3-4). In contrast to cell bacterivory, population bacterivory (i.e., the total number of bacterioplankton consumed ml−1 h−1 by each protist population) in the NG and NT regions was not significantly different between the three protist populations (Figure 3-4). Population bacterivory was significantly higher in more productive temperate regions followed by the equatorial region, due to higher protist concentrations (Figure 3-4). In the equatorial waters (EQ), and particularly in the SG in 2009, bacterivory by the Plast-L population was the highest compared with other populations, comprising 50% of total protist bacterivory (Figure 3-4). A comparison between the sum of plastidic populations and the aplastidic population showed a significant difference in population bacterivory by plastidic and aplastidic protists (t-test, P=0.01). Cumulative bacterivory by plastidic protists accounted for 60–77% of total protist bacterivory across the Atlantic Ocean. Furthermore, interannual variability had a minor effect on the domination of bacterivory by plastidic protists. Document1 Page: 28/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 3-3. A comparison of mean rates of cell bacterivory by the flow-sorted aplastidic (Aplast), large plastidic (Plast-L) and small plastidic (Plast-S) protists in the five Atlantic regions (NT=Northern temperate, NG=North subtropical gyre, EQ=equatorial waters, SG=South subtropical gyre, ST=Southern temperate). The numbers next to the region abbreviations indicate the year of sampling, and then the numbers in brackets indicate the number of separate experiments performed in each region. The rates were calculated using 35S-methionine pulse-chase tracing. Error bars show single standard deviations to indicate the variance of rates within regions. Document1 Page: 29/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 Figure 3-4 A comparison of mean absolute (a) and relative (b) population biomass and mean absolute (c) and relative (d) population bacterivory of aplastidic (Aplast), large plastidic (Plast-L) and small plastidic (Plast-S) protists in the five Atlantic regions (NT=Northern temperate, NG=North subtropical gyre, EQ=equatorial waters, SG=South subtropical gyre, ST=Southern temperate). The numbers next to the region abbreviations indicate the year of sampling. The numbers in brackets indicate the number of experiments done in each region. The rates were calculated using 35S-methionine pulse-chase tracing. Error bars show single standard deviations to indicate the variance of biomass and rates within regions. Document1 Page: 30/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 3.4 Discussion The uniformly higher population rates of bacterivory by plastidic protists compared with aplastidic protists in the surface mixed layer of the Northern and Southern gyres and the equatorial region show the large contribution of phytoplankton to harvesting bacterioplankton in the low-latitude Atlantic Ocean. There are several important implications of this finding. First, it challenges the long-standing assumption of the total dependence of phytoplankton on dissolved inorganic nutrients in oligotrophic oceanic waters. Rates of bacterivory by Plast-S cells were lower in surface waters of the South Atlantic subtropical gyre compared with the North Atlantic subtropical gyre, which is depleted in phosphate. This suggests that the mixotrophy of Plast-S cells may be linked to phosphate depletion. However, differences linked to the seasonality of studies in the gyres (boreal autumn, austral spring) as well as interannual variability may also play a role here. In contrast, rates of bacterivory by Plast-L protists were comparable along the whole transect in 2009. Rates of bacterivory by Plast-L cells similar to those found in 2009 have also been measured in the temperate North Atlantic Ocean (Zubkov & Tarran, 2008), further supporting the lack of correlation between macronutrient availability and bacterivory in Plast-L cells. The main temporal variability in Plast-L bacterivory was interannual in the SG. Both biomass and rates of bacterivory by Plast-L and Aplast populations are broadly comparable between the phosphate-depleted Northern and relatively phosphate-replete Southern Atlantic oligotrophic gyres (Figure 3-4). The second implication of our work is related to the cell metabolism of mixotrophs. Because CO2 fixation as well as predation and respiration are concomitantly taking place in the same cells, mixotrophy could help to explain the tightness of biogenic carbon budgets at the community level (Williams, 1998). Tight intercellular coupling of production and respiration could contribute to the stability of oligotrophic ecosystems in the absence of seasonal or episodic perturbations (Karl, et al., 2003) such as seasonally accumulated bioavailable organic matter (Thingstad, et al., 2005), or allochthonous matter transported by advection (Roussenov, et al., 2006) or deposited from the atmosphere (Dachs, et al., 2005, Calil, et al., 2011), which enhance growth of opportunistic species and ultimately change the composition of microbial communities. The third implication concerns the ecological significance of the smallest plastidic protists in oligotrophic ecosystems. Apart from being key CO2 fixers, plastidic protists control bacterioplankton abundance, acting as producers of organic matter and predators at the same time. Such dual control and interdependence of bacterioplankton and protists could help to explain the constancy of low bacterioplankton concentrations in the oligotrophic ocean compared with more productive regions (Li, et al., 2004, Zubkov, et al., 2008). The scarcity of bacterioplankton prey in oligotrophic gyres in turn probably reduces both propagation of phage infections and growth of specialized predators such as aplastidic protists. 3.5 Conclusion Oligotrophic subtropical gyres are the largest oceanic ecosystems, covering >40% of the Earth’s surface. Unicellular Prochlorococcus cyanobacteria and the smallest algae (plastidic protists) dominate CO2 fixation in these ecosystems, competing for dissolved inorganic nutrients. Here Document1 Page: 31/34 GREENSEAS Development of global plankton data base and model system for eco-climate early warning Grant agreement n° 265294 Ref: D.3.3 Date: 05/05/2017 Issue: 0.1 we present direct evidence from the surface mixed layer of the subtropical gyres and adjacent equatorial and temperate regions of the Atlantic Ocean, collected on three Atlantic Meridional Transect cruises on consecutive years, that bacterioplankton are fed on by plastidic and aplastidic protists at comparable rates. Rates of bacterivory were similar in the light and dark. Furthermore, because of their higher abundance, it is the plastidic protists, rather than the aplastidic forms, that control bacterivory in these waters. In summary, our data shows the significance and ubiquity of mixotrophy in the survival of the smallest pelagic protists in sunlit oligotrophic surface waters. This deceptively inefficient lifestyle should reduce nutrient export and maintain faster nutrient turnover in the surface mixed layer, both of which are essential for sustainable functioning of oligotrophic ecosystems. Consequently, future food web models should consider including mixotrophs as a basic ecosystem element. 3.6 Publications Journal Hartmann M, Grob C, Tarran GA, Martin AP, Burkill PH, Scanlan DJ, Zubkov MV (2012). Mixotrophic basis of Atlantic oligotrophic ecosystems. Proc Nat. Acad Sci USA 109: 5756-5760 Hartmann M, Zubkov MV, Scanlan DJ, Lepère C (2013). In situ interactions between photosynthetic picoeukaryotes and bacterioplankton in the Atlantic Ocean: evidence for mixotrophy. Environ Microbiol Rep 5: 835-840. Data series Hartmann M.; Grob C.; Zubkov M.V. (2014). Influence of light on bacterivory of the smallest eukaryotes on cruise AMT20 (JC053). British Oceanographic Data Centre - Natural Environment Research Council, UK. doi:10/sc6. 3.7 References Azam F, Fenchel T, Field JG, Gray JS, Meyer-Reil LA & Thingstad F (1983) The ecological role of water-column microbes in the sea. Mar Ecol Progr Ser 10: 257-263. Calil PHR, Doney SC, Yumimoto K, Eguchi K & Takemura T (2011) Episodic upwelling and dust deposition as bloom triggers in low-nutrient, low-chlorophyll regions. J Geophys Res Oceans 116: 16. Christian JR & Karl DM (1994) Microbial community structure at the United-States Joint Global Ocean Flux Study Station ALOHA - Inverse methods for estimating biochemical indicator ratios. J Geophys Res Oceans 99: 14269-14276. Cuvelier ML, Ortiz A, Kim E, et al. (2008) Widespread distribution of a unique marine protistan lineage. Environ Microbiol 10: 1621-1634. Dachs J, Calleja ML, Duarte CM, et al. (2005) High atmosphere-ocean exchange of organic carbon in the NE subtropical Atlantic. Geophys Res Lett 32: L21807. 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