Biogeosciences, 13, 26532673, 2016 www.biogeosciences.net/13/2653/2016/ doi:10.5194/bg-13-2653-2016 Author(s) 2016. CC Attribution 3.0 License.
Sophie Bonnet1,2, Hugo Berthelot1, Kendra Turk-Kubo3, Sarah Fawcett4,5, Eyal Rahav6,7, Stphane LHelguen8, and Ilana Berman-Frank6
1IRD, Aix Marseille Universit, CNRS/INSU, Universit de Toulon, Mediterranean Institute of Oceanography (MIO) UM 110, 13288, Marseille, France
2IRD, Aix Marseille Universit, CNRS/INSU, Universit de Toulon, Mediterranean Institute of Oceanography (MIO) UM 110, 101 Promenade R. Laroque, BPA5, 98848 Noumea CEDEX, New Caledonia
3Ocean Sciences Department, University of California, Santa Cruz, California, USA
4Department of Geosciences, M45 Guyot Hall, Princeton University, Princeton, New Jersey 08544, USA
5Department of Oceanography, University of Cape Town, Rondebosch, 7701, South Africa
6Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
7National Institute of Oceanography, Israel Oceanographic and Limnological Research, Haifa, Israel
8Universit de Brest, CNRS/IRD, UMR6539, Laboratoire des Sciences de lEnvironnement Marin, OSU-IUEM, 29280 Plouzan, France
Correspondence to: Sophie Bonnet ([email protected])
Received: 10 November 2015 Published in Biogeosciences Discuss.: 10 December 2015 Revised: 10 March 2016 Accepted: 10 March 2016 Published: 4 May 2016
Abstract. N2 xation rates were measured daily in large ( 50 m3) mesocosms deployed in the tropical southwest Pa
cic coastal ocean (New Caledonia) to investigate the temporal variability in N2 xation rates in relation with environmental parameters and study the fate of diazotroph-derived nitrogen (DDN) in a low-nutrient, low-chlorophyll ecosystem. The mesocosms were fertilized with 0.8 M
dissolved inorganic phosphorus (DIP) to stimulate diazotrophy. Bulk N2 xation rates were replicable between the three mesocosms, averaged 18.5 [notdef] 1.1 nmol N L1 d1 over
the 23 days, and increased by a factor of 2 during the second half of the experiment (days 15 to 23) to reach27.3 [notdef] 1.0 nmol N L1 d1. These later rates measured af
ter the DIP fertilization are higher than the upper range reported for the global ocean. During the 23 days of the experiment, N2 xation rates were positively correlated with seawater temperature, primary production, bacterial production, standing stocks of particulate organic carbon (POC), nitrogen (PON) and phosphorus (POP), and alkaline phosphatase activity, and negatively correlated with DIP concen-
trations, DIP turnover time, nitrate, and dissolved organic nitrogen and phosphorus concentrations. The fate of DDN was investigated during a bloom of the unicellular diazotroph UCYN-C that occurred during the second half of the experiment. Quantication of diazotrophs in the sediment traps indicates that 10 % of UCYN-C from the water column
was exported daily to the traps, representing as much as22.4 [notdef] 5.5 % of the total POC exported at the height of the
UCYN-C bloom. This export was mainly due to the aggregation of small (5.7 [notdef] 0.8 m) UCYN-C cells into large (100
500 m) aggregates. During the same time period, a DDN transfer experiment based on high-resolution nanometer-scale secondary ion mass spectrometry (nanoSIMS) coupled with 15N2 isotopic labeling revealed that 16 [notdef] 6 % of the
DDN was released to the dissolved pool and 21 [notdef] 4 % was
transferred to non-diazotrophic plankton, mainly picoplankton (18 [notdef] 4 %) followed by diatoms (3 [notdef] 2 %). This is con
sistent with the observed dramatic increase in picoplankton and diatom abundances, primary production, bacterial production, and standing stocks of POC, PON, and POP in the
Published by Copernicus Publications on behalf of the European Geosciences Union.
Dynamics of N2 xation and fate of diazotroph-derived nitrogen in a low-nutrient, low-chlorophyll ecosystem: results from the VAHINE mesocosm experiment (New Caledonia)
2654 S. Bonnet et al.: Fate of N2 xation
mesocosms during the second half of the experiment. These results offer insights into the fate of DDN during a bloom of UCYN-C in low-nutrient, low-chlorophyll ecosystems.
1 Introduction
Next to light, nitrogen (N) is the major limiting factor for primary productivity in much of the low-latitude surface ocean (Falkowski, 1997; Moore et al., 2013). Nitrate (NO3) is the dominant form of xed nitrogen (N) in seawater and derives from the remineralization of sinking organic N in the dark ocean. NO3 is supplied to photic waters by upward mixing and transport, and constitutes the main source of xed N for photosynthetic organisms in the temperate and high-latitude ocean. In the oligotrophic tropical and subtropical oceans, vertical mixing and transport of NO3 is generally low and surface waters are often depleted in NO3.
In these ocean deserts, specialized organisms termed dinitrogen (N2) xers (or diazotrophs) are able to use N in its simplest and most abundant form on Earth and in seawater, namely dinitrogen (N2). Diazotrophs possess the nitrogenase enzyme, which cleaves the strong triple bond of the N2 molecule to form bioavailable ammonium (NH+4), which is assimilated as amino acids, enabling biomass growth and division. N2 xation thus introduces a source of new bioavailable N to surface waters, and is considered to be the most important external source of N to the ocean, more signicant than atmospheric and riverine inputs (Gruber, 2004).
The dynamics of microbial communities such as diazotrophs can change abruptly in the ocean in response to small perturbations or environmental stressors. In particular, N2 xation has been described as a very patchy process in the ocean (Bombar et al., 2015). Many factors control the distribution and activity of diazotrophs such as temperature (Bonnet et al., 2015; Moisander et al., 2010; Raveh et al., 2015; Staal et al., 2003), nutrient availability (mainly phosphate and iron) (e.g., Mills et al., 2004), pCO2 (e.g., Levitan et al., 2007), ambient concentrations of xed N (NO3 and
NH+4) (e.g., Knapp et al., 2012), and physical forcing (e.g., Fong et al., 2008). Most studies dedicated to understanding the controls on marine N2 xation have been undertaken along large oceanic transects; these are particularly valuable and have recently led to the compilation of a global ocean database of diazotrophy (Luo et al., 2012). Spatial variability in N2 xation is thus far better documented and understood than temporal variability, despite the intimate connections between time and space scales in the ocean. Time-series stations with near-monthly observations set up in the late 1980s as part of the international JGOFS program in the subtropical North Atlantic, Pacic, and Mediterranean Sea have provided valuable data regarding the controls on N2 xation and its role in biogeochemical cycles on seasonal and interannual timescales (Dore et al., 2008; Garcia et al., 2006; Grabowski
Figure 1. (a) Mesocosms ( 50 m
3) deployed in the framework of the VAHINE project. (b) Sediment traps screwed onto the base of the mesocosms and were sampled daily by scuba divers.
et al., 2008; Karl et al., 2012; Knapp et al., 2005; Orcutt et al., 2001), and have also revealed novel diazotrophic microorganisms (Zehr et al., 2008) with unexpected metabolic strategies such as UCYN-A cyanobacteria that lack the oxygen-producing photosystem II complex (Tripp et al., 2010). However, fairly little attention has been paid to sub-seasonal variability in N2 xation and its biogeochemical drivers and consequences.
In the framework of the VAHINE (VAriability of vertical and tropHIc transfer of diazotroph derived N in the south wEst Pacic) project, we deployed three large-volume mesocosms ( 50 m3, Fig. 1) in the tropical southwest Pa
cic coastal ocean, a region known to support diazotrophy during the austral summer (Dupouy et al., 2000; Rodier and Le Borgne, 2008, 2010). Our goal was to study the high-frequency temporal dynamics of N2 xation over short timescales (sampling every day for 23 days), in relation to hydrological parameters, biogeochemical stocks and uxes, and the dynamics of phytoplanktonic and bacterial communities in the same water mass.
The mesocosm approach allowed us to investigate the fate of the recently xed N2 and its transfer from diazotrophs to non-diazotrophic organisms in this oligotrophic marine ecosystem. Diazotrophs can typically release from 10 to
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S. Bonnet et al.: Fate of N2 xation 2655
50 % of their recently xed N2 (or diazotroph-derived N, hereafter called DDN) as dissolved organic N (DON) and NH+4 (Glibert and Bronk, 1994; Meador et al., 2007; Mul-holland et al., 2006). This exudate is potentially available for assimilation by the surrounding planktonic communities.However, such transfer of DDN to the surrounding planktonic community and its potential impact on export production is poorly understood and rarely quantied.
Over the course of this 23-day mesocosm experiment, diatomdiazotroph associations (DDAs) were the most abundant N2 xers during the rst half of the experiment (days 2 to 14), while a bloom of the unicellular N2-xing cyanobacteria from group C (UCYN-C) occurred during the second half of the experiment (days 15 to 23) (Turk-Kubo et al., 2015). In the VAHINE special issue, Berthelot et al. (2015b) described the evolution of the C, N, and P pools and uxes during the experiment and investigated the contribution of N2 xation and DON uptake to primary production and particle export. They also explored the fate of the freshly produced particulate organic N (PON), i.e., whether it was preferentially accumulated and recycled in the water column or exported out of the system. Complementary to this approach, Knapp et al. (2015) reported the results of a 15N budget performed in the mesocosms to assess the dominant source of N(i.e., NO3 vs. N2 xation) fueling export production during the 23-day experiment. In the present study, we focus specically on the fate of DDN in the ecosystem during the UCYNC bloom by studying (i) the direct export of diazotrophs into the sediment traps and (ii) the transfer of DDN to nondiazotrophic plankton using high-resolution nanometer-scale secondary ion mass spectrometry (nanoSIMS) coupled with
15N2 isotopic labeling during a 72 h process experiment.
2 Methods
2.1 Mesocosm description and sampling strategy
Three replicate large-volume mesocosms (surface 4.15 m2,
volume 50 m3, Fig. 1) were deployed in the oligotrophic
New Caledonian lagoon, 28 km off the coast of Noumea (latitude: 22 28.855[prime] S; longitude: 166 26.724[prime] E) from 13 January to 6 February 2013. They consisted of large enclosures open to the air made of two 500 m thick lms of polyethylene (PE) and vinyl acetate (EVA, 19 %), with nylon meshing in between to allow for maximum resistance and light penetration (produced by HAIKONENE KY, Finland). The mesocosm bags were 2.3 m in diameter and 15 m in height, and were equipped with removable sediment traps that enabled the collection of sinking material once a day (Fig. 1b).To alleviate any potential phosphorus limitation of diazotrophy in the mesocosms, the bags were intentionally fertilized with 0.8 mol L1 of dissolved inorganic phosphorus
(DIP) 4 days after the start of the experiment. A more detailed description of the mesocosm setup, the selection of the
study site, and the deployment strategy can be found in the VAHINE introductory article (Bonnet et al., 2016b).
Vertical CTD proles were performed every morning in each of the three mesocosms (hereafter referred to as M1, M2, and M3) and in the surrounding waters (hereafter referred to as lagoon waters) using a SBE Sea-Bird CTD. All discrete samples for the parameters described below were collected daily at 07:00 LT at three depths (1, 6, and 12 m) in each mesocosm and in the lagoon waters using braided PVC tubing (Holzelock Tricoex, inner diameter = 9.5 mm)
connected to a Teon PFA pump (Saint-Gobain Performance Plastics) activated by pressurized air. Finally, sediment trap samples were collected daily from each mesocosm by scuba divers.
2.2 Experimental procedures
2.2.1 N2 xation measurements within the mesocosms and methods intercomparison
Seawater samples for N2 xation rate measurements were dispensed into HCl-washed 4.5 L polycarbonate bottles that were sealed with septa and amended with 15N2-enriched seawater (Mohr et al., 2010; Wilson et al., 2012), hereafter called the 15N2 dissolution method. Briey, the 15N2-enriched seawater was prepared from 0.2 m ltered sea-water (Sartobrand (Sartorius) cartridges) collected from the same site in a 4.5 L polycarbonate HCl-washed bottle. Sea-water was rst degassed through a degassing membrane (Membrana, Minimodule, ow rate xed at 450 mL min1)
connected to a vacuum pump (< 200 mbar) for at least 1 h.
The bottle was then closed with a septum cap and amended with 1 mL of 15N2 (98.9 15N, Cambridge Isotopes Laboratories, Inc.) per 100 mL of seawater. The bottle was shaken vigorously to fragment the 15N2 bubble, and incubated overnight at 20 m depth at the study site (3 bar) to promote 15N2 dissolution. The experimental bottles were amended with 5 % vol : vol 15N2-enriched seawater (i.e., 225 mL), sealed without headspace with silicon septum caps, and incubated for 24 h on an in situ mooring line located close to the mesocosms at the appropriate sampling depth. After 24 h, 12 mL of the incubated seawater was subsampled into Exetainers.
These were preserved upside down in the dark at 4 C and analyzed less than 6 months after the experiment using a membrane inlet mass spectrometer (MIMS) (Kana et al., 1994) to quantify the 15N enrichment of the N2 pool in the incubation bottles. The MIMS analyses yielded an average 15N
enrichment for the N2 pool of 2.4 [notdef] 0.2 at. % (n = 10). Af
ter collection of the Exetainer subsamples, 2.2 L from each experiment bottle was ltered under low vacuum pressure (< 100 mm Hg) onto a pre-combusted (4 h at 450 C) GF/F lter (25 mm diameter, 0.7 m nominal porosity) for bulk
N2 xation rate determination. The remaining volume (2.2 L) was pre-ltered through a 10 m pore-size polycarbonate lter, and collected on a pre-combusted GF/F lter for analysis
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of the pico- and nanoplanktonic (< 10 m) N2 xation rates.
Filters were stored at 20 C until the end of the VAHINE
experiment and then dried for 24 h at 60 C before mass spec-trometric analysis (see section Mass spectrometry analyses
below). Every day, an extra 2.2 L bottle was lled with meso
cosm surface water (from 1 m), spiked with 15N2, and im
mediately ltered to determine the natural 15N enrichment of the PON, which is required for calculations of N2 xation rates.
In the present study, we decided to use the 15N2 dissolution method to measure N2 xation rates, as several authors (Grokopf et al., 2012; Mohr et al., 2010; Rahav et al., 2013;Wilson et al., 2012) have reported an underestimation of rates when using the bubble method (i.e., when the 15N2 gas is injected directly into the incubation bottle using a syringe; see below) due to incomplete equilibration of the 15N2 gas between the headspace and the seawater in the incubation bottles compared to theoretical calculations. However, the differences observed between the two methods appear to depend on the environmental conditions (Shiozaki et al., 2015).Here, we performed an intercomparison of both methods on day 11 in surface waters (from 1 m) collected from M1.
Briey, seawater samples from M1 were dispensed into 12 HCl-washed 4.5 L polycarbonate bottles as described above and closed with septum caps. Six bottles were spiked with 4 mL 15N2 (98.9 15N, Cambridge Isotopes Laboratories, Inc.)
via a gas-tight syringe, hereafter called the bubble method.
Each bottle was shaken 20 times to fragment the 15N2 bubble and facilitate its dissolution. The six remaining bottles were treated as described above for the dissolution method. All 12 bottles were then incubated for 24 h in an on-deck incubator at irradiances corresponding to the sampling depth using screening, and cooled with circulating surface seawater.
A recent study (Dabundo et al., 2014) reports potential contamination of some commercial 15N2 gas stocks with 15N-enriched NH+4, NO3 and/or nitrite (NO2), and nitrous oxide (N2O). Dabundo et al. (2014) analyzed various brands of 15N2 gas and found that the Cambridge Isotopes stock (i.e., the one used in this study) contained low concentrations of 15N contaminants and that the potential overestimation of N2 xation rates modeled using this contamination level would range from undetectable to 0.02 nmol N L1 d1. The rates measured in this study ranged from 0.5 to 69.6 nmol N L1 d1, suggesting that, if present, stock contamination of the magnitude reported by (Dabundo et al., 2014) would be too low to affect the results described here. To verify this, one of our 15N2 Cambridge Isotopes batches (18/061501) was checked for contamination following the method described in Dabundo et al. (2014); it was 1.4 [notdef] 108 mol of 15NO3 per mole of 15N2
and 1.1 [notdef] 108 mol NH+4 per mole of 15N2. The application
of this contamination level to our samples using the model provided by Dabundo et al. (2014) indicates that our rates may only be overestimated by 0.05 %, conrming that our
present results were unaffected by possible 15N2 stock contamination.
2.2.2 Phenotypic characterization of UCYN in the water column and the sediment traps
To investigate the direct export of UCYN-C cells during the bloom of UCYN-C that occurred in the second half of the experiment, a detailed phenotypic characterization of UCYN-C was performed at the height of the bloom (days 17 and 19), both in the water column and in the sediment traps. In parallel, UCYN-C and other diazotroph phylotypes were quantied using quantitative PCR in the sediment traps on days 17 and 19 (analytical protocols are detailed below in Sect. 2.3).
Seawater samples for microscopic analyses were collected every day from 1, 6, and 12 m in each mesocosm in 4.5 L polycarbonate bottles as described above. Samples were immediately ltered onto 2 m 47 mm polycarbonate lters that were xed with paraformaldehyde (4 % nal concentration) and incubated for 15 min at room temperature, and then stored at 80 C until microscopic analysis. Formalin
xed sediment trap samples were homogenized and 2 mL was ltered onto 2 m polycarbonate lters for further microscopic analyses. To characterize the phenotype of UCYN (free-living cells vs. colonies) in the mesocosms as a function of depth, we performed a detailed microscopic analysis on days 17 and 19 in M2. Note that UCYN-A cannot be observed by standard epiuorescent microscopy. Filtered samples from each depth (1, 6, and 12 m) and from the sediment traps ( 15 m) were visualized using a Zeiss Axio-
plan (Zeiss, Jena, Germany) epiuorescence microscope tted with a green (510560 nm) excitation lter, which targeted the UCYN phycoerythrin-rich cells. For each lter, 47 photographs of various sections of the lter were taken at random. Each uorescent particle was automatically delimited as a region of interest (ROI) using an in-house ImageJ script. The photographs were scanned visually to remove ROIs that did not correspond to UCYN cells or UCYN aggregated cells. The area of each ROI was converted to equivalent volume assuming a spherical shape for all the aggregates. The volume of individual cells was determined from the average volume of the ROI represented by only one cell.The resultant cell volume was then used to compute the number of cells in each aggregate.
2.2.3 DDN transfer experiment
The fate of the xed N2 during the UCYN-C bloom (that occurred from days 15 to 23) was investigated on days 17 to 20 in M2 at 6 m. In addition to N2 xation measurements, seawater was sampled as described above into 12 additional4.5 L HCl-washed polycarbonate bottles equipped with septum caps. Full bottles were immediately amended with the dissolved 15N2 gas (98.9 % 15N, Cambridge Isotopes Laboratories, Inc.) as described above (dissolution method), and
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with 1 mL of 80 g L1 NaH13CO3 solution (99 % 13C, Cambridge Isotopes Laboratories, Inc.) and incubated in situ on the mooring line at 6 m depth close to the mesocosms. After 24, 36, and 72 h of incubation (hereafter referred to as T24 h, T36 h, and T72 h), three replicate 15N2-labeled bottles were recovered from the mooring line and subsampled for the analysis of bulk N2 xation rates, DDN released to the dissolved pool, abundance of targeted diazotrophs using qPCR, picophytoplankton and bacterial counts, and nanoSIMS analyses on UCYN-C and non-diazotrophs (diatoms and the 0.2 2 m fraction) to assess the DD15N transfer from diazotrophs to non-diazotrophs. All analytical protocols are detailed below in Sect. 2.3. Three 4.5 L bottles were kept as unamended controls (i.e., without 15N2 addition) and were immediately subsampled for the same parameters.
2.3 Analytical protocols
2.3.1 Mass spectrometry analyses
PON content and PON 15N enrichment of samples collected for N2 xation rates determination were measured using a
Delta Plus Thermo Fisher Scientic isotope ratio mass spectrometer (Bremen, Germany) coupled with an elemental analyzer (Flash EA, Thermo Fisher Scientic). N2 xation rates were calculated according to the equations detailed in Montoya et al. (1996). Rates were considered signicant when the 15N enrichment of the PON was higher than 3 times the standard deviation obtained from T0 samples. The standard deviation was 0.004 mol L1 for PON and 0.0001 at. % for the 15N enrichment.
2.3.2 Quantication of diazotrophs using qPCR in sediment traps and during the DDN transfer experiment
During the bloom of UCYN-C (days 17 and 19), immediately after sediment trap samples were collected and prior to their xation with formalin, trap material was homogenized and fresh aliquots of 1 mL were subsampled from each jar (trap from M1, M2, and M3) and ltered onto 0.2 m Supor (Pall-Gelman) lters, ash-frozen in liquid N2, and stored at 80 C until analysis. For the DDN transfer ex
periment, after each incubation period, 2 L from each trip-licate 13C- and 15N2-labeled 4.5 L bottle was subsampled and ltered through 0.2 m Supor (Pall-Gelman) lters using gentle peristaltic pumping, and stored as described above.The abundance of eight diazotrophic phylotypes was determined using Taqman qPCR assays: unicellular cyanobacterial groups A1 (UCYN-A1; Church et al., 2005), A2 (UCYNA2; Thompson et al., 2014), B (UCYN-B or Crocosphaera spp.; Moisander et al., 2010), and C (UCYN-C; Foster et al., 2007); the lamentous, colonial cyanobacteria Trichodesmium spp. (Church et al., 2005); the two DDAs Richelia associated with both Rhizosolenia (het-1; Church et al.,
2005) and Hemiaulus (het-2; Foster et al., 2007) diatoms, Calothrix associated with Chaetoceros (het-3; Foster et al., 2007); and a heterotrophic phylotype of gammaproteobacteria ( -24474A11; Moisander et al., 2008). All procedures are described extensively in the companion paper by Turk-Kubo et al. (2015). Briey, DNA was extracted using a Qiagen DNeasy kit with modications to recover high-quality genomic DNA from cyanobacteria including a freezethaw step, agitation, and a proteinase K digestion. Extracts were tested for the presences of PCR inhibitors, compounds sometimes present in DNA extracts from the environment or introduced in the extraction process that reduce PCR efciency, using either the UCYN-B or the UCYN-C assay. If recovery of the spiked standard template in the sample extract was < 98 %, the sample was considered inhibited and diluted 1 : 10 with 5 kD ltered Milli-Q water. All extracts from the sediment traps showed inhibition when undiluted, and no inhibition when diluted 1 : 10. DNA extracts from the DDN transfer experiment showed no inhibition. All qPCR reactions were carried out on diluted extracts as described in Goebel et al. (2010). The limit of detection (LOD) and limit of quantitation (LOQ) were 250 and 2000 nifH copies mL1, respectively, for the sediment trap samples. The LOD and
LOQ for DDN transfer experiment samples were 29 and 229 nifH copies L1, respectively.
2.3.3 Quantication of the net release of DDN to the dissolved pool during the DDN transfer experiment
After each incubation period, 60 mL from each 15N2-labeled 4.5 L bottle was subsampled and ltered through precombusted (4 h, 450 C) GF/F lters and immediately frozen for later quantication of 15N release (i.e., DDN release) to the total dissolved N pool (TDN; i.e., the sum of NO2, NO3,
NH+4, and DON). The dissolved N was oxidized to NO3 using the persulfate oxidation method of Knapp et al. (2005)
with the amendments of Fawcett et al. (2011). Briey, 1 mL of potassium persulfate oxidizing reagent (POR) was added to duplicate 5 mL aliquots of each subsample in 12 mL precombusted glass Wheaton vials as well as to triplicate vials containing varying quantities of two L-glutamic acid standards, USGS-40 and USGS-41 (Qi et al., 2003), used to ensure complete oxidation and quantify the POR-associated N blank. The POR was made by dissolving 6 g of sodium hydroxide and 6 g of four-times-recrystallized, methanol-rinsed potassium persulfate in 100 mL of ultra-high-purity water (DIW). Sample vials were capped tightly after POR addition and autoclaved at 121 C for 55 min on a slow-vent setting. The entire oxidation protocol was performed in duplicate (yielding a total of four oxidized aliquots for each sub-sample).
The concentration of the resultant NO3 (i.e., TDN + the
POR-associated N blank) was measured by chemiluminescence (Braman and Hendrix, 1989), after which the TDN
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isotopic composition was determined using the denitrier method, wherein denitrifying bacteria that lack N2O reductase quantitatively convert sample NO3 to N2O (Casciotti et al., 2002; Sigman et al., 2001). The denitrifying bacteria (see below) are extremely sensitive to pH; care was thus taken to lower sample pH to 78 after POR oxidation via the addition of 12 N ACS-grade HCl. The 15N en
richment of the N2O was measured by GC-IRMS using a Delta V isotope ratio mass spectrometer and custom-built on-line N2O extraction and purication system. The international reference materials, IAEA-N3, USGS-34, USGS-32, and an in-house N2O standard were run in parallel to monitor bacterial conversion and mass spectrometry, and each oxidized sample was analyzed twice. The nal TDN concentration and 15N enrichment were corrected for the N blank associated with the POR. The DDN released to the TDN pool was calculated according to 15N release (nmol L1 d1) = (15Nex [notdef] TDNcon) / Nsr, where
15Nex is
the at. % excess of the TDN for a given time point, TDNcon is the TDN concentration measured at each time point, and Nsr is the 15N enrichment of the source pool (N2) in the experimental bottles (i.e., 2.4 [notdef] 0.2 at. % 15N; see above).
2.3.4 Picophytoplankton and bacteria counts during the DDN transfer experiment
After each incubation period, 3.6 mL from each 15N2-labeled4.5 L bottle was subsampled into cryotubes, xed with paraformaldehyde (2 % nal concentration), ash-frozen in liquid N2, and stored at 80 C until analysis. Picoplankton
analyses were carried out at the PRECYM ow cytometry platform (https://precym.mio.univ-amu.fr/
Web End =https://precym.mio.univ-amu.fr/ ). Samples were analyzed using a FACSCalibur (BD Biosciences, San Jose, CA). For heterotrophic bacterial abundance (BA), after thawing, 0.3 mL of each sample was incubated with SYBR Green II (Molecular Probes, nal concentration 0.05 % [v/v], for 15 min at room temperature in the dark), for the nucleic acid staining, according to Marie et al. (2000). Cells were characterized by two main optical signals: side scatter (SSC), related to cell size, and green uorescence (530/40), related to nucleic acid staining. Based on these criteria, two subsets of bacteria (referred to as low and high nucleic acid-containing, or LNA and HNA, respectively) were optically resolved in all samples based on their green uorescence intensity (Gasol et al., 1999). Just before analysis, 2 m beads (Fluoresbrite YG, Polyscience), used as an internal control, and Trucount beads (BD Biosciences), used to determine the volume analyzed, were added to the samples. To assess autotrophic picoplankton abundances, the red uorescence (670LP, related to chlorophyll a content) was used as a trigger signal and phytoplankton cells were characterized by three other optical signals: forward scatter (FSC, related to cell size), side scatter (SSC, related to cell structure), and the orange uorescence (580/30, related to phycoerythrin content). The 2 m beads (Fluoresbrite YG, Polyscience) were also used to dis-
criminate picoplankton (< 2 m) from nanoplankton (> 2 m) populations. The ow rate was estimated by weighing three tubes of samples before and after a 3 min run of the cytometer. The cells concentration was determined from both Tru-count beads and ow rate measurements. All data were collected in log scale and stored in list mode using CellQuest software (BD Biosciences). Data analysis was performed a posteriori using SUMMIT v4.3 software (Dako).
2.3.5 Microscopic cell counts during the DDN transfer experiment
In parallel with the picoplankton counts, diatoms, dinoagellates, and ciliates were enumerated from 100 mL subsamples collected from each mesocosm that were preserved in Lugols solution following the Utermhl method (Hasle, 1978).Cells were counted on a Nikon Eclipse TE2000-E inverted microscope equipped with phase contrast and a long-distance condenser. All groups were quantied in each sample, and di-atoms were identied to the lowest possible taxonomic level to examine potential community composition changes and help us to prioritize nanoSIMS analyses.
2.3.6 NanoSIMS analyses and 13C and 15N assimilation
rates during the DDN transfer experiment
After each incubation period (24, 36, and 72 h), 250 mL from each labeled 4.5 L bottle was subsampled, xed with 25 mL of paraformaldehyde (2 % nal concentration) and incubated for 24 h at 4 C, and then ltered successively through 25 mm diameter 10, 2, and 0.2 m pore-size polycarbonate lters and rinsed with 0.2 m ltered seawater. All lters were then sputtered with gold and palladium to ensure conductivity prior to nanoSIMS analyses. Diatoms and UCYN-C were analyzed on the 10 m lters, and the picoplanktonic (0.2 2 m) fraction was analyzed on the 0.2 m lters. Diatoms were easily recognized on the CCD (charge-coupled device) camera of the nanoSIMS, as were UCYN-C that formed large aggregates of cells, facilitating their recognition for nanoSIMS targeted analyses. However, we cannot exclude the possibility that some UCYN-B were analyzed, despite being present at very low abundances, i.e., almost 2 orders of magnitude less abundant than UCYN-C (Fig. 5) in the analyzed samples. Several analyses were performed for each group of cells of interest (an average of 25 cells analyzed
for UCYN-C and diatoms, and between 62 and 140 cells analyzed for the 0.22 m fraction per time point) to assess the variability of their isotopic composition. A total of 400 in
dividual cells were analyzed by nanoSIMS in this experiment to ensure the robustness of the data. NanoSIMS analyses were performed on a N50 (Cameca, Gennevilliers, France) at the French National Ion MicroProbe Facility according to methods previously described (Bonnet et al., 2016a). A1.33 pA 16 keV cesium (Cs+) primary beam focused onto a 100 nm spot diameter was scanned on a 256 [notdef] 256 or
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S. Bonnet et al.: Fate of N2 xation 2659
512 [notdef] 512 pixel raster (depending on the raster areas, which
ranged from 15 m [notdef] 15 m to 50 m [notdef] 50 m) with a count
ing time of 1 ms per pixel. Samples were implanted with Cs+ prior to analysis to remove surface contaminants and increase conductivity. For diatoms, the pre-implant was longer and with higher voltage (25 min, 17 pA) to penetrate the silica shell. Negative secondary ions 12C, 13C, 12C14N,
12C15N, and 28Si were detected with electron multiplier detectors, and secondary electrons were imaged simultaneously. Ten to 50 serial quantitative secondary ion mass planes were generated and accumulated in the nal image. Mass resolving power was 8000 in order to resolve isobaric inter
ferences. Data were processed using the Look@NanoSIMS software package (Polerecky et al., 2012). All scans were rst corrected for any drift of the beam during acquisition, and C and N isotope ratio images were created by adding the secondary ion counts for each recorded secondary ion for each pixel over all recorded planes and dividing the total counts by the total counts of a selected reference mass. Individual cells were easily identied in nanoSIMS secondary electron, 12C, 12C14N, and 28Si images that were used to dene ROIs around individual cells (28Si data are not presented here). For each ROI, the 15N and 13C enrichments
were calculated.
15N assimilation rates were calculated for individual cells analyzed by nanoSIMS. Our goal was to determine the biological compartment to which the 15N had been transferred.These were performed after 24 h of incubation. Calculations were performed as follows (Foster et al., 2011, 2013): assimilation (mol N cell1 d1) = (15Nex [notdef] Ncon) / Nsr, where
15Nex is the excess 15N enrichment of the individual cells measured by nanoSIMS after 24 h of incubation, Ncon is the
N content of each cell determined as described below, and Nsr is the 15N enrichment of the source pool (N2) in the experimental bottles (i.e., 2.4 [notdef] 0.2 at. % 15N in this experi
ment). The cell-specic N assimilation rate was then multiplied by the cell number enumerated for each group of phytoplankton and bacteria by microscopy and ow cytometry at the same time point (24 h). Standard deviations were calculated using the variability of 15N enrichment measured by nanoSIMS on replicate cells and the standard deviation of the estimated cellular N content (see below) of UCYN-C, nondiazotrophic phytoplankton, and bacteria. Final standard deviations were calculated according to propagation of error laws.
To determine the Ncon of diatoms, cell cross section and apical and transapical dimensions were measured on the dominant diatom species present in the mesocosms and analyzed by nanoSIMS to calculate biovolumes. All dimensions were measured on at least 20 cells using a Nikon Eclipse TE2000-E inverted microscope equipped with phase-contrast and a long-distance condenser. Dimensions were entered into the international diatom database (Leblanc et al., 2012), in which bio-volumes are calculated following the geometric model of each cell type as described in Sun
and Liu (2003). Carbon (C) content (Ccon) was then calculated for the species of interest using the equations of (Eppley et al., 1970) and (Smayda, 1978). For Synechococcus spp. and picoeukaryotes, we used Ccon data from Fu et al. (2007) (249 [notdef] 21 fg C cell1) and Yentsch and Phin
ney (1985) (2100 fg cell1), respectively. Ccon was then converted to Ncon using the Redeld ratio of 6.6 : 1 (Redeld, 1934). For bacteria, an average Ncon of 5.8 [notdef] 1.5 fg N cell1
(Fukuda et al., 1998) was used. For UCYN-C, cell dimensions were measured and the bio-volume was calculated based on the equations reported in Sun and Liu (2003).Ccon was then calculated using the relationship between bio-volume and Ccon (Verity et al., 1992) (22 pg cell1). Ccon was then converted to Ncon (2.3 pg cell1) using a ratio of 8.5 : 1 (Berthelot et al., 2015a).
2.4 Statistical analyses
Spearman correlation coefcients were used to examine the relationships between N2 xation rates, hydrological, biogeochemical, and biological variables in the mesocosms (n = 57 to 61, = 0.05). The methods used to analyze the
parameters reported in the correlation table are described in detail in related papers in this issue (Berthelot et al., 2015b;Bonnet et al., 2016b; Leblanc et al., 2016; Turk-Kubo et al., 2015).
A non-parametric MannWhitney test ( = 0.05) was
used to compare the means of N2 xation rates obtained using the dissolution and the bubble method, as well as to compare the means of N2 xation between the different phases of the experiment, mean isotopic ratios between 15N2-enriched and natural abundance of N (0.366 at. %), and mean isotopic ratios between T24 h and T72 h in the DDN transfer experiment.
3 Results
3.1 N2 xation rates in the mesocosms
Bulk N2 xation rates averaged 18.5 [notdef] 1.1 nmol N L1 d1
throughout the 23 days of the experiment in the three mesocosms (all depths averaged together) (Table 1). The variance between the three mesocosms was low, and the temporal dynamics of the rates were similar (Fig. 2, Table 1), indicating good replicability between the mesocosms. Based on our data on N2 xation dynamics, we could identify three main periods during the experiments. These three periods were also dened by Berthelot et al. (2015b) based on biogeochemical characteristics and by Turk-Kubo et al. (2015) based on changes in abundances of targeted diazotrophs. During the rst period (P0; from day 2 to 4, i.e., prior to the DIP fertilization), the average bulk N2 xation rate for the three mesocosms was 17.9 [notdef] 2.5 nmol N L1 d1
(Fig. 2a). These N2 xation rates decreased signicantly (p < 0.05) by 40 % from day 5 to 15 (hereafter called
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2660 S. Bonnet et al.: Fate of N2 xation
Table 1. N2 xation rates (nmol N L1 d1) measured in the mesocosms and in lagoon waters. Table shows the range, median, mean, contribution of the < 10 m fraction to total rates (%), and number of samples analyzed (n). NA not available.
Range Median Mean % < 10 m n
M1 0.569.7 15.9 19.7 38 61 M2 3.067.7 15.1 18.1 43 57 M3 2.960.4 14.2 17.7 29 59 Average mesocosms 2.165.9 15 18.5 37 177 Lagoon waters 1.929.3 8.7 9.2 NA 61
P1) to 10.1 [notdef] 1.3 nmol N L1 d1 and then increased signif
icantly (p < 0.05) from day 15 until the end of the experiment (day 15 to 23, hereafter called P2) to an average of27.3 [notdef] 1.0 nmol N L1 d1 (Fig. 2a). Maximum rates were
reached during P2 (between days 18 and 21) with 69.7, 67.7, and 60.4 nmol N L1 d1 in M1 (12 m), M2 (6 m), and M3 (12 m), respectively. From day 15 to 21, N2 xation rates
were higher at 12 m depth than in the surface. The difference was signicant in M2 and M3 (p < 0.05), but not in M1 (p > 0.05). Size fractionation experiments indicate that 37 [notdef] 7 % of the measured N2 xation was associated with the
< 10 m size fraction (Fig. 2b), and N2 xation rates in this fraction followed the same temporal trend as bulk N2 xation. These data indicate that, for the experiment as a whole, the majority ( 63 %) of the N2 xation was associated with
the > 10 m fraction. N2 xation rates measured in the lagoon waters were half those measured in the mesocosms, and were on average 9.2 [notdef] 4.7 nmol N L1 d1 over the 23 days of the
experiment.
The Spearman correlation matrix (Table 2) indicates that N2 xation was positively correlated with seawater temperature in the mesocosms, which was not the case in lagoon waters, although temperature was exactly the same inside and outside the mesocosms (from 25.4 to 26.8 C) (Bonnet et al., 2016b). N2 xation in the mesocosms was also positively correlated with particulate organic carbon (POC), nitrogen (PON), and phosphorus (POP) (except in M2) concentrations; Chl a concentrations; primary production; bacterial production; alkaline phosphatase activity (APA); and Synechococcus, picoeukaryote, and nanoeukaryote (except in M2) abundances. N2 xation was negatively correlated with NO3, DIP, DON, dissolved organic phosphorus (DOP)
(except in M2) concentrations, and DIP turnover time.
The intercomparison between the bubble and dissolution methods performed on day 11 in M2 indicates that rates determined for the six replicates were 7.2 [notdef] 0.8 and
6.4 [notdef] 2.0 nmol N L1 d1 for the dissolution method and the
bubble method, respectively, demonstrating that, at least in this study, N2 xation rates were not signicantly different (p > 0.05) between the two methods.
3.2 Phenotypic characterization of UCYN by microscopy
The average size of the UCYN-C cells present in the mesocosms was 5.7 [notdef] 0.8 m (n = 17). Both free-living and ag
gregated UCYN-C cells were observed in the water columns of the mesocosms. However, the detailed microscopic analysis performed on day 17 and day 19 in M2 (during the bloom of UCYN-C) (Fig. 3) indicates that the proportion of free-living cells (ROI characterized by one cell or two cells dened as dividing cells) was low (< 1 % on day 17 and < 5 % on day 19). The average number of UCYN-C cells per aggregate increased with depth (Fig. 3a), with the size of the aggregates reaching 50100 m at 6 m and 100500 m at 12 m depth. On day 17, the number of cells per aggregate averaged 162, 74, and 1273 at 1, 6, and 12 m, respectively. On day 19, the aggregates were much smaller ( 50 m) with only 4, 11,
and 19 cells per aggregate. The sediment traps contained extremely high densities of UCYN-C cells, with the average number of cells per aggregate 60 to 50 000 times higher than that measured in the water column aggregates (Fig. 3be).
3.3 Quantication of diazotrophs in sediment traps
qPCR analysis conrmed that UCYN-C was the most abundant diazotroph in the sediment traps on days 17 and 19, with abundances reaching 2.7 [notdef] 108 to 4 [notdef] 109 nifH copies L1
(Fig. 4a). UCYN-C accounted for 97.4 to 99.2 % of the total nifH pool quantied in the traps. Abundances were higher in M2 and M3 (1.8 [notdef] 109 in M2 and 3 [notdef] 109 nifH copies L1 in
M3) compared to M1 (2.5 [notdef] 108 nifH copies L1) on day 19.
Het-1 and het-3 were always recovered in the sediment traps, albeit at lower abundances (1.8 to 8.6 [notdef] 106 nifH copies L1
for het-1 and 4.9 [notdef] 106 to 2.8 [notdef] 107 nifH copies L1 for het-
3) (Fig. 4b). They represented between 0.1 and 1.8 % of the targeted nifH pool. UCYN-B was detected in all mesocosm traps on both days (except in M1 on day 19), and UCYN-A2 and Trichodesmium were detected in M2 on day 17 but at low abundances (0.05 % of the total nifH pool) compared to the other phylotypes. Het-2 was never detected in the traps, and neither was 24774A11 or UCYN-A1.
Using the volume of each mesocosm (Bonnet et al., 2016b) and the total nifH copies for each diazotroph phylo-type in the sedimenting material and in the water column the day before the collection of the sediment traps (Turk-Kubo et al., 2015) (assuming a sinking velocity of the exported material of 10 m d1; Gimenez et al., 2016), we estimated the
export efciency for each phylotype. For UCYN-C, 4.6 and6.5 % of the cells present in the water column were exported to the traps per 24 h on day 17 and 19, respectively (assuming one nifH copy per cell). For het-1, 0.3 and 0.4 % of cells were exported into the traps on day 17 and 19; for het-3, 15.5 and10.5 % were exported; and for UCYN-B, 37.1 and 15.5 % of UCYN-B were exported on day 17 and 19, respectively.
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S. Bonnet et al.: Fate of N2 xation 2661
Figure 2. (a) Horizontal and vertical distributions of bulk N2 xation rates (nmol N L1 d1) in M1, M2, M3 and lagoon waters, and(b) < 10 m N2 xation rates (nmol N L1 d1) in M1, M2, and M3. Note that N2 xation rates in the < 10 m fraction were not measured in lagoon waters.
3.4 DDN transfer experiment performed on day 17
Net 15N2 uptake was 24.1 [notdef] 2.8 nmol N L1 during the
rst 24 h of the DDN transfer experiment performed from days 17 to 20 (Fig. 5a). As expected, integrated 15N2 uptake increased over the course of the experiment to reach 28.8 [notdef] 4.3 nmol N L1 at T48 h and
126.8 [notdef] 35.5 nmol N L1 at T72 h. The DDN quantied in
the TDN pool ranged from 6.2 [notdef] 2.4 nmol N L1 at T24 h to
9.6 [notdef] 1.6 nmol N L1 at T72 h. Considering gross N2 xation
as the sum of net N2 xation and DDN release (Mulholland
et al., 2004), the DDN released to the TDN pool accounted
for 7.1 [notdef] 1.2 to 20.6 [notdef] 8.1 % of gross N2 xation.
During the 72 h targeted experiment (Fig. 5b) the diazotroph assemblage reected that of the mesocosms from which they were sampled: UCYN-C dominated the diazotrophic community, comprising on average 62 % of the total nifH pool. The other most abundant phylotypes were UCYN-A2 and het-2, which represented 18 and 13 % of the total nifH pool, respectively. UCYN-A1, UCYN-B, het-1, het-3, and Trichodesmium were also detected but together comprised less than 8 % of the total targeted community.
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2662 S. Bonnet et al.: Fate of N2 xation
Table 2. Spearman correlation matrix of N2 xation rates and hydrological parameters, biogeochemical stocks and uxes, and planktonic communities (n = 66). The signicant correlations (p < 0.05) are indicated in bold. NA not available.
Parameter M1 M2 M3 Lagoon waters
Hydrological parameters
Temperature 0.394 0.319 0.347 0.228 Salinity 0.211 0.213 0.266 0.122
Biogeochemical stocks and uxes
NO
3 0.539 0.302 0.341 0.145
NH+
4 0.152 0.103 0.006 0.197 DIP 0.613 0.569 0.482 0.116
DON 0.329 0.413 0.235 0.180
DOP 0.563 0.157 0.316 0.243
PON 0.575 0.293 0.494 0.077 POP 0.514 0.001 0.439 0.036 POC 0.399 0.352 0.356 0.061
Chl a 0.660 0.656 0.656 0.220 Primary production 0.443 0.498 0.445 0.268 Bacterial production 0.708 0.408 0.471 0.189 T-DIP 0.670 0.603 0.564 0.190
APA 0.575 0.568 0.273 0.062
HNA 0.317 0.043 0.458 NA
LNA 0.262 0.021 0.000 NA
Prochlorococcus 0.429 0.122 0.138 NA
Synechococcus 0.699 0.434 0.499 NA Picoeukaryotes 0.614 0.563 0.414 NA Nanoeukaryotes 0.477 0.002 0.442 NA Diatoms 0.099 0.456 0.200 NA
Dinoagellates 0.242 0.392 0.321 NA
UCYN-A1 0.545 0.521 0.503 0.200
UCYN-A2 0.127 0.631 0.248 0.333
UCYN-B 0.083 0.696 0.467 0.101 UCYN-C 0.373 0.621 0.515 0.167
Trichodesmium 0.145 0.147 0.285 0.117
DDAs 0.036 0.264 0.527 0.262
24774A11 0.327 0.497 0.750 0.733
Phylotype abundances remained relatively stable throughout the 72 h of the experiment.
NanoSIMS analyses performed on individual UCYN
C at 24 h (Fig. 6) revealed signicant (p < 0.05) 13C
(1.477 [notdef] 0.542 at. %, n = 35) and 15N (1.515 [notdef] 0.370 at. %,
n = 35) enrichments relative to natural abundance, indicat
ing that UCYN-C were actively photosynthesizing and xing N2. The correlation between 13C enrichment and 15N enrichment was signicant (r = 0.85, p < 0.01, Fig. 6b).
NanoSIMS analyses performed on diatoms and picoplankton (Fig. 5c) also revealed signicant (p < 0.05) 15N enrichment of non-diazotrophic plankton, demonstrating a transfer of DDN from the diazotrophs to other phytoplankton. Both diatoms and picoplanktonic cells were significantly (p < 0.05) more enriched at the end of the ex-
periment (T72 h) (0.489 [notdef] 0.137 at. %, n = 12 for diatoms;
0.457 [notdef] 0.077 at. %, n = 96 for picoplankton) than after
the rst 24 h (0.408 [notdef] 0.052 at. %, n = 23 for diatoms;
0.389 [notdef] 0.014 at. %, n = 63 for picoplankton). Finally, the
15N enrichment of picoplankton and diatoms was not significantly different (p > 0.05) during the DDN experiment.
4 Discussion
4.1 The bubble vs. the dissolution method: an intercomparison experiment
The intercomparison experiment performed on day 11 reveals slightly lower, yet insignicantly different (p > 0.05), average N2 xation rates when using the bubble method
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Planktonic communities
S. Bonnet et al.: Fate of N2 xation 2663
(a)
(b) (c) (d) (e)
1 m
12 m
Figure 3. (a) UCYN-C cells per aggregate in M2 on day 17 and 19. (be) Green excitation (510560 nm) epiuorescent replicate micrographs of UCYN-C on day 17 taken at 1 m depth ([notdef]40) (b), 6 m depth ([notdef]40) (c), 12 m depth ([notdef]40) (d), and in the sediment traps ([notdef]10) (e). Scale
bar 20 m (bd) and 100 m (e).
compared to the dissolution method. This result is in accordance with some comparisons made by Shiozaki et al. (2015) in temperate waters of the North Pacic. However, a lower degree of dissolution of the 15N2 bubble may occur in warm tropical waters such as those near New Caledonia compared to the cooler, temperate North Pacic waters. In calculating N2 xation rates using the dissolution method, we used the value of 2.4 [notdef] 0.2 at. % for the 15N enrichment of the N2 pool
as measured by MIMS. For the bubble method, we used the theoretical value of 8.4 at. % calculated for seawater with a temperature of 25.5 C and salinity of 35.3 (as was the case on day 11). If we assume that equilibration was incomplete in our experiment using the bubble method, i.e., 75 % instead of 100 % as shown by Mohr et al. (2010), we calculate higher, albeit still insignicant (p > 0.05), N2 xation rates for the bubble method (8.3 [notdef] 2.8 nmol N L1 d1) compared to the
dissolution method (7.2 [notdef] 0.8 nmol N L1 d1), conrming
that equivalent results are obtained with both methods in this ecosystem.
4.2 The temporal dynamics of N2 xation in the mesocosms
Average N2 xation rates measured in the lagoon waters (outside the mesocosms, 9.2 [notdef] 4.7 nmol N L1 d1, Table 1)
are of the same order of magnitude as those reported for the
Noumea lagoon during austral summer conditions (Biegala and Raimbault, 2008). They are within the upper range of rates reported in the global ocean database (Luo et al., 2012). Indeed, open ocean cruises performed offshore of New Caledonia in the Coral and Solomon seas (e.g., Bonnet et al., 2015; Garcia et al., 2007) also suggest that the southwest Pacic Ocean is one of the areas with the highest N2 xation rates in the global ocean.
Averaged over the 23 days of the experiment, N2 xation rates in the mesocosms were 2-fold higher
(18.5 [notdef] 1.1 nmol N L1 d1) than those measured in lagoon
waters (9.2 [notdef] 4.7 nmol N L1 d1). The maximum observed
rates of > 60 nmol N L1 d1 from days 18 to 21 are among the highest reported for marine waters (Luo et al., 2012).
DIP concentration was the predominant difference between the ambient lagoon waters and those of the mesocosms. The mesocosms were fertilized with DIP on day 4, reach-
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1 m
6 m 12 m Trap
Day 17 M2 Day 19 M2
6 m 12 m
Traps
1 m 6 m
Figure 3.
2664 S. Bonnet et al.: Fate of N2 xation
in the mesocosms at P0 were het-1 and Trichodesmium, which were probably the most competitive groups under the initial conditions, i.e., NO3 depletion (concentrations were0.04 [notdef] 0.02 mol L1, Table 3) and low DIP concentrations
(0.03 [notdef] 0.01 mol L1, Table 3). Trichodesmium is able to
use organic P substrates (DOP pool) under conditions of DIP deciency (Dyhrman et al., 2006; Sohm and Capone, 2006). Twenty-four hours after the DIP fertilization (day 5), N2 xation rates in the mesocosms decreased by 40 %, reaching
rates comparable to those measured in lagoon waters during P1 (days 5 to 14). Enhanced DIP availability likely enabled non-diazotrophic organisms with lower energetic requirements and higher growth rates to outcompete the diazotrophs in the mesocosms via utilization of recycled N derived from recent N2 xation. This is supported by the observation that nanoeukaryotes and non-diazotrophic cyanobacteria such as Prochlorococcus sp. increased in abundance
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Figure 4. (a) Abundance of UCYN-C (nifH copies L1) and (b) other nifH phylotypes (UCYN-A2, UCYN-B, Trichodesmium, het-1, het-3) (nifH copies L1) recovered in the sediment trap on day 17 and 19. (c) Proportion of POC export associated with diazotrophs in the sediment traps on day 17 in M2 (height of UCYN-C bloom).
ing ambient concentrations of 0.8 mol L1 compared to
lagoon waters in which DIP concentrations were typically < 0.05 mol L1. According to our experimental assumption, diazotrophy would be promoted by high concentrations of
DIP. Yet, in all three mesocosms, N2 xation rates were negatively correlated with DIP concentrations and DIP turnover time and positively correlated with APA (Table 2). Below, we describe the scenario that likely occurred in the mesocosms, which likely explains these correlations.
During P0 (day 2 to 4), N2 xation rates were higher in the mesocosms than in the lagoon waters, possibly due to the reduction of turbulence in the water column facilitated by the closing of the mesocosms (Moisander et al., 1997) and/or to the reduction of the grazing pressure in the mesocosms as total zooplankton abundances were slightly lower (by a factor of 1.6) in the mesocosms compared to the lagoon waters (Hunt et al., 2016). The most abundant diazotrophs
S. Bonnet et al.: Fate of N2 xation 2665
(a)
Table 3. Average NO
3 , DIP, DON, and DOP concentrations (mol L1) measured over the P0, P1, and P2 periods. NO
3 and
DIP concentrations were determined using a segmented ow analyzer according to Aminot and Kerouel (2007). The detection limit was 0.01 and 0.005 mol L1 for NO
3 and DIP, respectively. DON and DOP concentrations were determined according to the wet oxidation procedure described in Pujo-Pay and Raimbault (1994) and Berthelot et al. (2015b).
Average P0 Average P1 Average P2
NO
3 0.04 [notdef] 0.02 0.03 [notdef] 0.01 0.02 [notdef] 0.01
DIP 0.03 [notdef] 0.01 0.48 [notdef] 0.20 0.08 [notdef] 0.05
DON 5.19 [notdef] 0.37 5.22 [notdef] 0.54 4.73 [notdef] 0.49
DOP 0.14 [notdef] 0.01 0.16 [notdef] 0.03 0.12 [notdef] 0.02
a high abundance of UCYN-C, which were present in low numbers in the lagoon and within the mesocosms during P0 and P1 (Turk-Kubo et al., 2015). The increase in UCYN-C abundance was synchronous with a decrease in DIP concentrations in the mesocosms (Turk-Kubo et al., 2015): UCYNC abundance rst increased in M1 (day 11), then in M2 (day13), and nally in M3 (day 15). In all cases, the increase in UCYN-C abundance coincided with low DIP turnover time, indicative of DIP deciency (Berthelot et al., 2015b; Moutin et al., 2005). Under NO3 depletion and low DIP availability, UCYN-C appeared to be the most competitive diazotroph in the mesocosms, as they exhibited the highest maximum growth rates compared to those calculated for the other diazotrophic phylotypes for the same period (Turk-Kubo et al., 2015). Some Cyanothece strains possess the genes required for utilization of organic P substrates such as phosphonates (Bandyopadhyay et al., 2011). Thus, UCYN-C, which were the major contributors to N2 xation during P2 (see below), may have used DOP as a P source during this period, consistent with the negative correlation observed between N2 xation rates and DOP concentrations (except in M2, Table 2), and driving the signicant decline in DOP concentrations ob-served in all three mesocosms during P2 (Berthelot et al., 2015b; Moutin et al., 2005).
While temperature was not correlated with N2 xation in the lagoon, we observed a signicant positive correlation between these parameters in the mesocosms (Table 2), probably because some diazotrophic phylotypes present in the mesocosms and absent in the lagoon waters were particularly sensitive to seawater temperature. UCYN-C reached high abundances inside the mesocosms, but was virtually absent in the lagoon waters outside the mesocosms. Turk-Kubo et al. (2015) showed that UCYN-C abundance was positively correlated with seawater temperature, suggesting that the optimal temperature for UCYN-C growth is above25.6 C. This result is consistent with culture studies performed using three UCYN-C isolates from the Noumea lagoon that are closely related to the UCYN-C observed here,
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(b)
(c)
Figure 5.
Figure 5. Results from the DDN transfer experiment performed from day 17 to 20 in M2. (a) Temporal changes in 15N2 up-take (white, nmol N L1) and quantication of DDN in the dissolved pool (grey) over the course of the experiment. Error bars represent the standard deviation of three independent replicate incubations. (b) Temporal changes in diazotroph abundance determined by qPCR (nifH gene copies L1) during the same experiment. Error bars represent the standard deviation of triplicate incubations. (c) Summary of the nanoSIMS analyses. Measured 13C and 15N at. % values of non-diazotrophic diatoms (white) and picoplankton (grey) as a function of incubation time. The horizontal dashed line indicates the natural abundance of 15N (0.366 at. %), and the error bars represent the standard deviation for the several cells analyzed by nanoSIMS.
during P1 (Leblanc et al., 2016) in the three mesocosms when N2 xation rates declined (Fig. 2).
During P2 (day 15 to 23), N2 xation rates increased dramatically in all three mesocosms. This period was dened by
2666 S. Bonnet et al.: Fate of N2 xation
(a) (b)
(c) (d)
Figure 6. (a) Green excitation (510560 nm) epiuorescent micrographs of UCYN-C, (b) 13C and 15N isotopic enrichment (at. %) in individual UCYN-C cells on day 17 in M2, and (c, d) nanoSIMS images showing the 13C (c) and 15N (d) enrichment of individual UCYN-C cells after 24 h of incubation. The white outlines show regions of interest (ROIs), which were used to estimate the 13C / 12C and 15N / 14N ratios.
indicating maximum growth rates at around 30 C and no growth below 25 C (Camps, Turk-Kubo, Bonnet, personal communication, 2015). Temperatures above 25.6 and up to26.7 C were reached on day 12 and were maintained through to the end of the mesocosm experiment, possibly explaining why UCYN-C was not observed during P0 (when temperature was 25.4 C) even though DIP turnover time was low (below 1 day) (Berthelot et al., 2015b; Moutin et al., 2005).
If low DIP concentrations and seawater temperatures greater than 25.6 C are prerequisites for UCYN-C growth, an obvious question is why they did not thrive (despite being present at low abundances) in the lagoon waters during P2, when similar conditions prevailed. We consider three possible explanations that are discussed extensively in Turk-Kubo et al. (2015): rst, it is possible that UCYN-C are sensitive to turbulence, which was likely reduced in the mesocosms compared to the lagoon waters that are susceptible to trade winds and tides. Second, grazing pressures on UCYN-C may have been reduced as total zooplankton abundances were slightly lower (by a factor of 1.6) in the mesocosms compared to those in the lagoon waters (Hunt et al., 2016). Third, the wa-
ter masses outside the mesocosms changed with tides and winds; thus, it is possible that UCYN-C were absent from the water mass encountered outside the mesocosms when we sampled for this experiment.
In the mesocosms, the cell-specic 15N2 xation rate measured on day 17 (M2) for UCYN-C was6.3 [notdef] 2.0 [notdef] 1017 mol N cell1 d1. Multiplying this rate by
the abundance of UCYN-C indicates that UCYN-C accounted for 90 [notdef] 29 % of bulk N2 xation during that pe
riod. This is consistent with the positive correlation observed between N2 xation rates and UCYN-C abundances in M2 (Table 2). In M1 and M3, the correlation was also positive yet insignicant. This may have been due to the low number of UCYN-C data points, thus decreasing the sensitivity of the statistical test. Coupling between UCYN-C 13C
and 15N incorporation was signicant (r = 0.85, p < 0.01)
(Fig. 6b) and contrasts with results reported by Berthelot et al. (2016) for UCYN-C, in which 13C and 15N enrichment
(and thus inorganic C and N2 xation) was uncoupled in the cells. Based on their observations, these authors suggest that the heterogeneity in the 15N and 13C enrichments can
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Figure 6.
S. Bonnet et al.: Fate of N2 xation 2667
al., 2016) or other extracellularly released proteins, and were characterized by a high sinking velocity due to their large size (up to 500 m in diameter) and a density greater than that of seawater (Azam and Malfatti, 2007). Their aggregation and subsequent sinking within the mesocosms likely explains why volumetric N2 xation rates were higher at 12 m than at the surface during P2, as well as why the size of the aggregates increased with depth, and why numerous large-size aggregates and extremely high abundances of UCYN-C were recovered in the sediment traps. Aggregation processes may have been favored by the low turbulence in the mesocosms, and it would be necessary to conrm that such processes also occur in the open ocean.
Colonial phenotypes of UCYN (UCYN-B) have been ob-served in the water column of the northern tropical Pacic (ALOHA station) (Foster et al., 2013), but to our knowledge, this is the rst time that UCYN have been detected in sediment traps. Contrary to published data (e.g., White et al., 2012), here we demonstrate a greater export efciency of UCYN ( 10 % exported to the traps within 24 h) com
pared to the export of DDAs (efciency of 0.24 to 4.7 %).
Diatoms sink rapidly and DDAs have been found in sediment traps at station ALOHA (Karl et al., 1997, 2012; Scharek et al., 1999a, b), in the Gulf of California (White et al., 2012), and in the Amazon River plume (Subramaniam et al., 2008).In our study, we observed limited export of het-1 (Richelia in association with Rhizosolenia) and het-3 (Calothrix) during P2, while het-2 (Richelia associated with Hemiaulus) was never recovered in the sediment traps. This is likely because Hemiaulus has a lower sinking rate than Rhizosolenia due do its smaller size, or may be more easily grazed by zoo-plankton than Rhizosolenia or Calothrix, which are known to be toxic to crustaceans (Hckelmann et al., 2009). We ob-served only rare occurrences of Trichodesmium export in this study probably due to its extremely limited presence and low growth rates in the mesocosms. Direct comparisons of our export results with ndings from open ocean studies should be made cautiously as our mesocosms were shallower (15 m) than typical oceanic export studies (> 100 m) and were also probably characterized by reduced turbulence (Moisander et al., 1997).
We estimate that the direct export of UCYN-C accounted for 22.4 [notdef] 5.5 % of the total POC exported in each meso
cosm at the height of the UCYN-C bloom (day 17) and decreased to 4.1 [notdef] 0.8 % on day 19 (Figs. 4c and 7). This
calculation is based on the total POC content measured in the sediment traps (Berthelot et al., 2015b), our Ccon for
UCYN-C estimated as described above, and published Ccon for other diazotrophs. The corresponding export of het-1, het-3, Trichodesmium, and UCYN-B on day 17 based on published Ccon (Leblanc et al., 2012; Luo et al., 2012), and using an average of three Richelia and Calothrix symbionts per diatom, accounted for 6.8 [notdef] 0.5, 0.5 [notdef] 0.02, 0.3 [notdef] 0.3,
and 0.1 [notdef] 0.01 % of the POC export on day 17, respectively,
and for 4.2 [notdef] 1.7, 0.04 [notdef] 0.03 of the POC export on day 19
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Figure 7.
Figure 7. Summary of the simplied pathways of N transfer in the rst trophic level of the food web and the potential impact on the sinking POC ux at the height of the UCYN-C bloom in the VAHINE mesocosm experiment.
be explained by a specialization of some cells that induces variability in cell-specic 15N enrichment, e.g., diazocytes that contain the nitrogenase enzyme as in the colonial lamentous Trichodesmium sp. Spatial partitioning of N2 and C xation by colonial unicellular types was also evidenced for diazocyte-like formation in colonial Crocosphaera watsonii-like (UCYN-B) cells (Foster et al., 2013). Here, UCYN-C cells xed both 13C and 15N proportionally, which suggests they did not utilize diazocytes to separate diazotrophy from photosynthesis in our experiments.
4.3 UCYN aggregation and export
Throughout the 23 days of the experiment, the majority of N2 xation (63 %) occurred in the > 10 m size fraction, even during P2 when the small (5.7 [notdef] 0.8 m) unicellular UCYN
C dominated the mesocosm diazotrophic community. These ndings can be explained by the aggregation of UCYN-C cells into large (> 10 m) aggregates (Fig. 7) that were retained on 10 m lters (Fig. 3). These large UCYN-C aggregates probably formed in part due to the presence of sticky transparent exopolymer particles (TEP) (Berman-Frank et
2668 S. Bonnet et al.: Fate of N2 xation
(the contribution of Trichodesmium and UCYN-B to POC export on day 19 was negligible). Thus, our data emphasize that, despite their small size relative to DDAs, UCYN-C are able to directly export organic matter to depth by forming densely populated aggregates that can rapidly sink. This observation is further conrmed by the e ratio, which quanties the efciency of a system to export POC relative to primary production (e ratio = POC export/PP) and was signicantly
higher (p < 0.05) during P2 (i.e., during the UCYN-C bloom;39.7 [notdef] 24.9 %) than during P1 (i.e., when DDAs dominated
the diazotrophic community; 23.9 [notdef] 20.2 %) (Berthelot et al.,
2015b). It is also consistent with the signicantly (p < 0.05) higher contribution of N2 xation to export production during P2 (56 [notdef] 24 %, and up to 80 % at the end of the experi
ment) compared to P1 (47 [notdef] 6 %, and never exceeded 60 %)
as estimated by Knapp et al. (2015) using a 15N budget for the mesocosms. Our calculated contribution of N2 xation to export production is very high compared to other tropical and subtropical regions where diazotrophs are present (10 to 25 %; e.g., Altabet, 1988; Knapp et al., 2005). However, it is consistent with the high rates of N2 xation measured in the enclosed mesocosms compared to those from the lagoon and other tropical pelagic studies (Luo et al., 2012). The direct export of UCYN-C and other diazotrophs cannot solely explain the high e ratio estimated for P2. We thus hypothesize that a fraction of the DDN export that occurred during P2 was transferred indirectly via primary utilization by nondiazotrophic plankton cells that were eventually exported to the sediment traps (Fig. 7).
4.4 DDN transfer to non-diazotrophic phytoplankton and ecological implications
The amount of DDN measured in the TDN pool during the 72 h DDN transfer experiment is higher than that reported for culture studies of Cyanothece populations (1.0 [notdef] 0.3 to
1.3 [notdef] 0.2 % of gross N2 xation; Benavides et al., 2013;
Berthelot et al., 2015a). The DDN measured in the TDN pool reects the DDN release by diazotrophs during N2 xation and is likely underestimated here as a fraction of this DDN has been taken up by surrounding planktonic communities.In our experiment, other diazotrophs were present in addition to Cyanothece, and they may have also contributed to the dissolved pool. Moreover, unlike in culture studies, eld experiments are also impacted by other exogenous factors such as viral lysis (Fuhrman, 1999) and sloppy feeding (ONeil and Roman, 1992; Vincent et al., 2007), which may enhance N release.
This DDN release plays a critical role in the N transfer between diazotrophs and non-diazotrophs. The cell-specic uptake rates of DDN during the DDN transfer experiment were calculated for each cell analyzed by nanoSIMS (di-atoms and cells from the 0.22 m fraction). By multiplying cell-specic N uptake rates by the cellular abundance of each group on a particular day, we could identify the spe-
cic pool (diazotrophs, dissolved pool, non-diazotrophs) into which the DD15N was transferred after 24 h, as well as the extent to which this 15N2 accumulated. The results are summarized in Fig. 7. After 24 h, 52 [notdef] 17 % of the newly xed
15N2 remained in the UCYN-C biomass, 16 [notdef] 6 % had ac
cumulated in the dissolved N pool, and 21 [notdef] 4 % had been
transferred to non-diazotrophic plankton. In addition, 11 % of the newly xed 15N2 accumulated in a pool that we refer to as others (corresponding to diazotrophs other than UCYN-C and potential non-diazotrophs to which 15N2 was transferred; these cells were not analyzed by nanoSIMS due to their very low abundance). Uncertainties take into account both the variability of the 15N enrichment determined on
25 cells per group by nanoSIMS, and the uncertainty in the N content per cell measured or taken from the literature.
Within the fraction of DDN transferred to the nondiazotrophs after 24 h (21 %), we calculate that 18 [notdef] 4 % was
transferred to picoplankton, and only 3 [notdef] 2 % was transferred
to diatoms (Fig. 7). The 15N enrichment of picoplankton and diatoms was not signicantly different (p > 0.05) in this study, but as picoplankton dominated the planktonic community in the mesocosms at the time of the DDN transfer experiment, they were the primary beneciaries of the DDN. This is consistent with the positive correlation between N2 xation rates, Synechococcus, and picoeukaryote abundances in the mesocosms (Table 2), as well as with the observed dramatic increase in Synechococcus and picoeukaryote abundances (by a factor of > 2 between P1 and P2) (Leblanc et al., 2016). Diatom abundances also increased in the mesocosms by a factor of 2 between P1 and P2 (largely driven by Cylindrotheca closterium), but this increase occurred earlier than the picoplankton increase, i.e., at the end of P1 (days 1112). Maximum diatom abundances were reached on day 1516 at the very beginning of P2, and then declined by day 18 to reach abundances similar to those observed during P1.These results suggest that diatoms were the primary beneciaries of DDN in the mesocosms at the start of P2, when N2 xation rates and UCYN-C abundances increased dramatically. This is consistent with a previous DDN transfer study performed in New Caledonia (Bonnet et al., 2016a) during which diatoms (mainly Cylindrotheca closterium) advantageously competed and utilized DDN released during Trichodesmium blooms. When the present DDN transfer experiment was performed (days 17 to 20), diatom abundances had already declined, likely due to DIP limitation (DIP turnover time was low, i.e below 1 day). We hypothesize that picoplankton were more competitive for DDN under low-DIP conditions as small cells with high surface to volume ratios are known to outcompete larger cells for the available DIP (Moutin et al., 2002). Moreover, some prokaryotes from the 0.22 m size fraction can utilize DOP compounds (Duhamel et al., 2012). In this study, we could not discriminate the DDN transfer to picoautotrophs from that to picoheterotrophs, but it is likely that both communities took advantage of the DDN, as both primary production (Berth-
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ration, and implementation of the project. Sophie Bonnet prepared the manuscript with contributions from all co-authors.
Acknowledgements. Funding for this research was provided by the Agence Nationale de la Recherche (ANR starting grant VAHINE ANR-13-JS06-0002), the INSU-LEFE-CYBER program, GOPS, and IRD. The authors thank the captain and crew of the R/V Alis. We acknowledge the SEOH diver service from Noumea, as well as the technical service of the IRD research center of Noumea for their helpful technical support together with C. Guieu,J.-M. Grisoni, and F. Louis for the mesocosm design and the useful advice. We thank Franois Robert, Smail Mostefaoui, and Rmi Duhamel from the French National Ion MicroProbe Facility hosted by the Museum National dHistoire Naturelle (Paris) for providing nanoSIMS facilities and constant advice.We are grateful to Aude Barani and Gerald Gregori from the Regional Flow Cytometry Platform for Microbiology (PRECYM) of the Mediterranean Institute of Oceanography (MIO) for the ow cytometry analyses support. D. Sigman provided analytical support for the 15N measurements. Funding to I. B. Frank was provided through a collaborative grant with S. Bonnet from MOST, Israel, and the High Council for Science and Technology (HCST), France, as well as the German-Israeli Research Foundation (GIF), project number 1133-13.8/2011, and grant 2008048 from the United States-Israel Binational Science Foundation (BSF).
Edited by: F. Lacan
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5 Conclusions
While studies on the fate of DDN in the ocean are rare, the contribution of DDN to particle export based on the 15N
signatures of exported material indicates that N2 xation can efciently contribute to export production in the oligotrophic ocean (Dore et al., 2008). The export of DDN may be either direct, through the sinking of diazotrophs, or indirect, through the transfer of DDN to non-diazotrophic plankton in the photic zone that are subsequently exported.
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Moreover, the experimental and analytical approach used in this study allowed for the quantication of the actual transfer of DDN to different groups of non-diazotrophic plankton in the oligotrophic ocean. Our nanoSIMS results coupled with 15N2 isotopic labeling revealed that a signicant fraction of DDN (21 [notdef] 4 %) is quickly (within 24 h) transferred
to non-diazotrophic plankton, which increased in abundance simultaneously with N2 xation rates. A similar nanoSIMS study performed during a Trichodesmium bloom (Bonnet et al., 2016a) revealed that diatoms were the primary beneciaries of DDN and developed extensively during and after Trichodesmium. blooms. Diatoms are efcient exporters of organic matter to depth (Nelson et al., 1995). These studies show that plankton grown on DDN in the oligotrophic ocean drive indirect export of organic matter out of the photic zone, thus revealing a previously unaccounted for conduit between N2 xation and the eventual export to depth of DDN from the photic zone.
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Copyright Copernicus GmbH 2016
Abstract
N<sub>2</sub> fixation rates were measured daily in large ( 50-m<sup>3</sup>) mesocosms deployed in the tropical southwest Pacific coastal ocean (New Caledonia) to investigate the temporal variability in N<sub>2</sub> fixation rates in relation with environmental parameters and study the fate of diazotroph-derived nitrogen (DDN) in a low-nutrient, low-chlorophyll ecosystem. The mesocosms were fertilized with 0.8-µM dissolved inorganic phosphorus (DIP) to stimulate diazotrophy. Bulk N<sub>2</sub> fixation rates were replicable between the three mesocosms, averaged 18.5-±-1.1-nmol-N-L<sup>-1</sup>-d<sup>-1</sup> over the 23 days, and increased by a factor of 2 during the second half of the experiment (days 15 to 23) to reach 27.3-±-1.0-nmol-N-L<sup>-1</sup>-d<sup>-1</sup>. These later rates measured after the DIP fertilization are higher than the upper range reported for the global ocean. During the 23 days of the experiment, N<sub>2</sub> fixation rates were positively correlated with seawater temperature, primary production, bacterial production, standing stocks of particulate organic carbon (POC), nitrogen (PON) and phosphorus (POP), and alkaline phosphatase activity, and negatively correlated with DIP concentrations, DIP turnover time, nitrate, and dissolved organic nitrogen and phosphorus concentrations. The fate of DDN was investigated during a bloom of the unicellular diazotroph UCYN-C that occurred during the second half of the experiment. Quantification of diazotrophs in the sediment traps indicates that 10-% of UCYN-C from the water column was exported daily to the traps, representing as much as 22.4-±-5.5-% of the total POC exported at the height of the UCYN-C bloom. This export was mainly due to the aggregation of small (5.7-±-0.8-µm) UCYN-C cells into large (100-500-µm) aggregates. During the same time period, a DDN transfer experiment based on high-resolution nanometer-scale secondary ion mass spectrometry (nanoSIMS) coupled with <sup>15</sup>N<sub>2</sub> isotopic labeling revealed that 16-±-6-% of the DDN was released to the dissolved pool and 21-±-4-% was transferred to non-diazotrophic plankton, mainly picoplankton (18-±-4-%) followed by diatoms (3-±-2-%). This is consistent with the observed dramatic increase in picoplankton and diatom abundances, primary production, bacterial production, and standing stocks of POC, PON, and POP in the mesocosms during the second half of the experiment. These results offer insights into the fate of DDN during a bloom of UCYN-C in low-nutrient, low-chlorophyll ecosystems.
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