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BG | Articles | Volume 17, issue 4
Biogeosciences, 17, 851–864, 2020
https://doi.org/10.5194/bg-17-851-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Ocean deoxygenation: drivers and consequences – past, present...

Biogeosciences, 17, 851–864, 2020
https://doi.org/10.5194/bg-17-851-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 18 Feb 2020

Research article | 18 Feb 2020

No nitrogen fixation in the Bay of Bengal?

No nitrogen fixation in the Bay of Bengal?
Carolin R. Löscher1,2, Wiebke Mohr3, Hermann W. Bange4, and Donald E. Canfield1 Carolin R. Löscher et al.
  • 1Nordcee, Department of Biology, University of Southern Denmark, Odense, Denmark
  • 2D-IAS, University of Southern Denmark, Odense, Denmark
  • 3Max Planck Institute for Marine Microbiology, Bremen, Germany
  • 4GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany

Correspondence: Carolin R. Löscher (cloescher@biology.sdu.dk)

Abstract
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The Bay of Bengal (BoB) has long stood as a biogeochemical enigma, with subsurface waters containing extremely low, but persistent, concentrations of oxygen in the nanomolar range which – for some, yet unconstrained, reason – are prevented from becoming anoxic. One reason for this may be the low productivity of the BoB waters due to nutrient limitation and the resulting lack of respiration of organic material at intermediate waters. Thus, the parameters determining primary production are key in understanding what prevents the BoB from developing anoxia. Primary productivity in the sunlit surface layers of tropical oceans is mostly limited by the supply of reactive nitrogen through upwelling, riverine flux, atmospheric deposition, and biological dinitrogen (N2) fixation. In the BoB, a stable stratification limits nutrient supply via upwelling in the open waters, and riverine or atmospheric fluxes have been shown to support only less than one-quarter of the nitrogen for primary production. This leaves a large uncertainty for most of the BoB's nitrogen input, suggesting a potential role of N2 fixation in those waters.

Here, we present a survey of N2 fixation and carbon fixation in the BoB during the winter monsoon season. We detected a community of N2 fixers comparable to other oxygen minimum zone (OMZ) regions, with only a few cyanobacterial clades and a broad diversity of non-phototrophic N2 fixers present throughout the water column (samples collected between 10 and 560 m water depth). While similar communities of N2 fixers were shown to actively fix N2 in other OMZs, N2 fixation rates were below the detection limit in our samples covering the water column between the deep chlorophyll maximum and the OMZ. Consistent with this, no N2 fixation signal was visible in δ15N signatures. We suggest that the absence of N2 fixation may be a consequence of a micronutrient limitation or of an O2 sensitivity of the OMZ diazotrophs in the BoB. Exploring how the onset of N2 fixation by cyanobacteria compared to non-phototrophic N2 fixers would impact on OMZ O2 concentrations, a simple model exercise was carried out. We observed that both photic-zone-based and OMZ-based N2 fixation are very sensitive to even minimal changes in water column stratification, with stronger mixing increasing organic matter production and export, which can exhaust remaining O2 traces in the BoB.

1 Introduction
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Primary production in large areas of the surface ocean is limited by the availability of fixed nitrogen (Moore et al., 2013). This deficiency in nitrogen creates a niche for dinitrogen (N2) fixation, an energy-costly process carried out only by certain prokaryotes, also referred to as diazotrophs, which are phylogenetically highly diverse. N2 fixation in the ocean has been described quantitatively as most important in the oligotrophic surface waters of the subtropical gyres (Sohm et al., 2011; Luo et al., 2012; Wang et al., 2019) where cyanobacterial N2 fixers dominate. Over the last decade, the development of novel molecular tools revealed that non-cyanobacterial N2 fixers are widely distributed throughout ocean waters (Farnelid et al., 2011, 2013; Fernandez et al., 2011; Luo et al., 2012; Riemann et al., 2010; Zehr et al., 1998) and sediments (Fulweiler et al., 2007; Andersson et al., 2014; Bertics et al., 2013; Gier et al., 2017, 2016). Their quantitative importance for global N2 fixation, however, is not yet clear. In oxygen minimum zones (OMZs) of the eastern tropical North and South Pacific Ocean, hypoxic basins in the San Pedro Ocean Time-series and the Santa Monica Bay Observatory in the Southern California Bight, and the Arabian Sea, those N2 fixers form a unique community consisting of different clades of proteobacteria, clostridia, spirochaetes, chlorobia, and methanogenic archaea (Christiansen and Loescher, 2019; Dekaezemacker et al., 2013; Fernandez et al., 2011; Gaby et al., 2018; Gier et al., 2017; Goebel et al., 2010; Halm et al., 2012; Hamersley et al., 2011; Jayakumar et al., 2012, 2017; Löscher et al., 2014). In contrast, cyanobacterial N2 fixers and diatom–diazotroph associations (DDAs), which are commonly considered the most important N2 fixers in the surface ocean, were either absent or were detected only in low abundances in OMZs (Turk-Kubo et al., 2014; White et al., 2013; Jayakumar et al., 2012). Both the presence of diazotrophs clustering with proteobacteria, clostridia, spirochaetes, chlorobia, and methanogenic archaea and the underrepresentation of cyanobacterial and DDA N2 fixers could thus be considered characteristic for OMZ environments.

Nutrient stoichiometry and model predictions (Deutsch et al., 2007) suggest that oxygen-deficient waters are a potentially important niche for N2 fixation. Based on this suggestion, several studies have focused on N2 fixation in the large and persistent OMZ of the eastern tropical South Pacific. In this region N2 fixation rates vary, however, with maximum rates of 840 µmolNm-2d-1 detected in nitrogenous sulfidic waters off the coast of Peru (Löscher et al., 2014) and 117 µmolNm-2d-1 in the oxygen-depleted zone (Bonnet et al., 2013). Low N2 fixation rates close to the detection limit were reported from the same area (Chang et al., 2019); another set of N2 fixation rates estimated from sediment trap analyses were in the range of 0–23 µmolNm-2d-1 (Knapp et al., 2016). Taken together, these rates suggest either a strong temporal variation or spatial patchiness. A similar variation in N2 fixation rates was described for the eastern tropical North Pacific, ranging from close to the detection limit in the OMZ (Jayakumar et al., 2017) up to 795 µmolNm-2d-1 in episodic diazotroph blooms (White et al., 2013). This apparent temporal or spatial variation in N2 fixation rates may originate from unresolved environmental controls on N2 fixation and makes it difficult to quantify N2 fixation in OMZ waters.

The Bay of Bengal (BoB) is a region with a strong seasonality driven by the Asian monsoon system. Massive rainfall and river discharge with maximum freshwater inputs in September (e.g., Mahadevan, 2016) cause a considerable lowering of surface water salinity during and after the monsoons throughout the whole basin (Subramanian, 1993). This, together with increased surface water temperatures, leads to intensive and persistent stratification of the water column (Kumar et al., 2004), restricting nutrient fluxes to the surface from below and promoting a strong OMZ (McCreary et al., 2013; Paulmier and Ruiz-Pinto, 2009; Sarma, 2002) with minimum oxygen (O2) concentrations in the lower nanomolar range (Bristow et al., 2017).

The potential importance of N2 fixation in the BoB can be derived from a simple N budget estimate with an overall N loss of 7.9±0.6Tg N yr−1 and N sources other than N2 fixation of 3.15±2.25Tg N yr−1 (Table 1 – data from Naqvi, 2008; Naqvi et al., 2010; Bristow et al., 2017; Singh et al., 2012; Krishna et al., 2016; Srinivas and Sarin, 2013; Suntharalingam et al., 2019). This implies a deficit of 4.7±2.4Tg N yr−1 within the given range of uncertainty, indicating the potential importance of N2 fixation, assuming a coupling of nitrogen loss and N2 fixation as proposed by Deutsch et al. (2007). Naqvi et al. (2010) proposed N2 fixation to contribute 1 Tg N yr−1 in the BoB, while Srinivas and Sarin (2013) interpolated a contribution of 0.6–4 Tg N yr−1 from phosphate availability. Measurements of N2 fixation rates from the BoB are not available, and isotope analysis of sediment trap samples indeed suggests that the BoB is a site of active N2 fixation. The composition of the organic material produced in BoB surface waters is characterized by a high portion of biogenic opal (20 %) and a low δ15N nitrate signal (3.2 ‰–5 ‰; Gaye-Haake et al., 2005). This points towards a production of a considerable part of organic matter produced by diatoms in symbiotic association with or in close proximity to diazotrophs (Subramaniam et al., 2008). Only few studies report the presence of diazotrophs including Trichodesmium in the BoB (Wu et al., 2019; Shetye et al., 2013; Sahu et al., 2017; Jyothibabu et al., 2006; Mulholland and Capone, 2009), with only one of them using a functional gene approach.

Table 1Nitrogen fluxes in the BoB (Tg N yr−1). N loss fluxes are given in black, and N sources are given in gray. DIN: dissolved inorganic nitrogen. PON: particulate organic nitrogen. IO: Indian Ocean. N2 loss by denitrification was excluded by Bristow et al. (2017). Naqvi et al. (2010) reported possible N loss to the atmosphere in the form of N2O.

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To investigate the diazotrophic community and to quantify N2 and carbon fixation in the BoB OMZ, we used a combination of gene sequencing and quantification, rate measurements, isotope tracing, and box modeling.

2 Methods
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2.1 Geochemical sampling

Samples were collected from the top 500 m of the water column during the SK-308 cruise with the ORV Sagar Kanya to the BoB during the winter monsoon between 24 January and 3 February 2014. Seawater samples were collected using 5 and 30 L Niskin bottles on a CTD rosette equipped with a Sea-Bird SBE 43 oxygen sensor and a Wet Labs ECO-AFL/FL chlorophyll sensor as previously described in Bristow et al. (2017). To resolve oxygen dynamics below the Sea-Bird sensor's detection limit, a STOX (switchable trace oxygen) amperometric oxygen sensor was used (Revsbech et al., 2009), which had a detection limit of 7–12 nmol L−1 during this sampling campaign (Bristow et al., 2017). Nutrients, including nitrate, nitrite, and phosphate, were determined according to Grasshoff et al. (1999).

2.2N2–C fixation rate measurements

Seawater was collected from depth between 60 and 280 m water depth. Water was taken from Niskin bottles and filled into 2.4 L glass bottles or 2.8 L polycarbonate bottles for (near-)anoxic and all other (oxic) waters, respectively. Bottles were capped with black rubber stoppers (anoxic waters) or Teflon-coated butyl rubber septa (oxic waters). Incubations were performed with the method developed by Mohr et al. (2010), as described in Grosskopf et al. (2012). Batches of 15N2-gas-enriched (Cambridge Isotopes, USA) water were prepared with degassed water from two to three of the six sampling depths. Each incubation bottle was supplemented with 50 mL of the 15N2-enriched seawater. Discrete samples for the measurement of the 15N2 concentration were taken from each incubation bottle and were measured by membrane-inlet mass spectrometry (MIMS). Final 15N2 enrichments were on average 1.65 at. % 15N. For carbon fixation measurements, NaH13CO3 was dissolved in sterile Milli-Q water (1 g∕117 mL), and 5 mL was added to each incubation (∼8 at. % final, based on total DIC of 2.2 mM). Bottles with water from the upper two depths were kept in surface seawater-cooled on-deck incubators. Bottles from the lower depths were incubated at 13–15 C in the dark. Incubations were stopped after approximately 24 h (samples with less than 20h incubation time were excluded from our analysis). Volumes between 2.1 and 2.7 L of seawater were filtered onto pre-combusted (450 C; 4–6 h) 25 mm diameter GF/F filters (Whatman, GE Healthcare, Chalfont St Giles, UK) under a gentle vacuum (200 mbar). Filters were either frozen at −20C and oven dried prior to processing or oven dried (50 C) directly for 24 h and stored dry until analysis. Untreated seawater was filtered and prepared as described above to obtain background natural abundance values. For elemental and isotopic analysis, GF/F filters were acidified over fuming HCl overnight in a desiccator to remove inorganic C. Filters were then oven dried for 2 h at 50 C and pelletized in tin cups. Samples for particulate organic carbon and nitrogen (POC and PON) and C and N isotopic composition were analyzed on an Elemental Analyzer Flash EA 1112 series (Thermo Fisher) coupled to a continuous-flow isotope ratio mass spectrometer (Finnigan Delta Plus XP, Thermo Fisher). Table 2 summarizes N2, and C fixation rate measurements are given in the Supplement. Datasets were deposited on PANGAEA.

Table 2CO2 and N2 fixation rates based on triplicate measurements at stations 1 (17.9970 N, 88.9968 E), 4 (16.9828 N, 89.2063 E), and 5 (17.2075 N, 89.4282 E). N2 fixation was only measurable in two individual samples but only in one out of three technical replicates.

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2.3 Molecular methods

Nucleic acid samples were collected at stations 1, 4, and 5 (Fig. 1) from water depths between 10 and 560 m. Between 5 and 27 L of seawater was filtered in two size fractions (3 and 0.22 µm pore size; Supor PES Membrane Disc Filters; Pall, Portsmouth, UK), and exact filtration volumes were recorded. Filters were stored in 2.7 mL sucrose lysis buffer at −20C.

DNA was extracted using an established protocol based on a phenol and chloroform extraction (Giovannoni et al., 1996). The quality and concentration of the purified DNA was checked spectrophotometrically and using the Quant-iT PicoGreen dsDNA kit (Invitrogen, Carlsbad, USA).

A metagenome from the deep chlorophyll maximum (DCM; 84 m water depth) at station 4 was sequenced with Illumina HiSeq using a 2 bp×125 bp read length on a Nextera XT library at the Institute of Clinical Molecular Biology (IKMB) at Kiel University, Germany. Sequencing resulted in 321 Mb. Sequences were analyzed using the MetaPathways pipeline (Konwar et al., 2013), a modular annotation and analysis pipeline for predicting diversity and metabolic interaction from environmental sequences consisting of a quality control, an open reading frame prediction and annotation, diversity analysis, and environmental pathway reconstruction. Phylogenetic identification of operational taxonomic units (OTUs) was derived via a comparison with the RefSeq and Greengenes databases (DeSantis et al., 2006). After a quality check, 6454 sequences of ribosomal RNA were identified, 622 286 sequences (27.56 %) of proteins with known functions were identified, and 1 628 841 sequences (72.15 %) were predicted proteins with an unknown function.

nifH gene amplification was performed using a nested polymerase chain reaction (PCR) protocol (Zehr et al., 1998). PCRs were performed using the GoTaq kit (Promega, Fitchburg, USA), adding 1 additional microliter of bovine serum albumin (BSA; 20 mg mL−1; Fermentas, Waltham, USA). The Topo TA Cloning® kit (Invitrogen, Carlsbad, USA) was used for cloning of PCR amplicons, according to the manufacturer's protocol. Sanger sequencing (340 nifH sequences) was performed by the Institute of Clinical Molecular Biology, Kiel, Germany. Negative controls were performed using the PCR mixture as described without template DNA; no amplification was detected. Samples from the particulate fraction >3µm were consistently negative for nifH gene copies and were thus not further investigated. Sequences were ClustalW aligned in MEGA 7 (Kumar et al., 2016), and a maximum-likelihood tree was constructed on a 321 base pair fragment. Reference sequences were obtained using BlastX on the NCBI database. Sequences were submitted to GenBank (submission ID 2245434). The metagenome was submitted to the NCBI's sequence read archive (accession number SRR9696254).

Quantitative real-time PCRs for nifH were performed using the cluster-specific TaqMan probe qPCRS as described in Löscher et al. (2014), with primers, probes, environmental standards, and PCR conditions as presented in the text. Samples were run in duplicates on a Bio-Rad qPCR machine (Bio-Rad, Hercules, USA).

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Figure 1Time-averaged maps from 15 January 2014 to 15 February 2014 of (a) sea surface temperature (SST in C; night only; eight daily, 4 km resolution obtained from MODIS-Aqua; https://giovanni.gsfc.nasa.gov, last access: 29 August 2019), (b) sea surface salinity, and (c) chlorophyll a concentration in 10−2mg m−3 (note the log scale; eight daily, 4 km resolution obtained from MODIS-Aqua; https://giovanni.gsfc.nasa.gov). (d) CTD data-based water temperature in C, and (e) salinity at the cruise stations. (f) O2 (in µmol L−1) over the top 500 m of the water column, with data from Bristow et al. (2017).

2.4 Box model exercise

We used a simplistic five-box representation of an upwelling system with a deep- and intermediate-water iron source, with primary and export production as well as respiration derived from the original models (Canfield, 2006; Boyle et al., 2013). The model was used to distinguish a N2 fixation state of the BoB and a non-N2 fixation state with primary production driven by recycled dissolved nitrogen compounds. In contrast to the previous model versions, we applied a non-Redfield-based N2 fixation scenario. Ammonia concentrations were set to zero in all boxes, in accordance with our direct measurements. Fe concentrations were set to 0.1 µmol L−1 in the deep- and intermediate-water boxes and 0.00044 µmol L−1 in the productive zone (Grand et al., 2015a, b). Oxygen concentrations were adjusted to our measurements, with 220, 0.02, and 50 µmol L−1 in the surface (corresponding to the upper 60 m of the water column), OMZ, and deep water, respectively (Bristow et al., 2017). Phosphate and nitrate concentrations were taken from our measurements, with phosphate concentrations of 0, 2.7, and 2.5 µmol L−1 in the surface, OMZ, and deep boxes, respectively, and oxidized nitrogen compounds (nitrate + nitrite) at a concentration of 0, 38, and 35 µmol L−1 in the surface, intermediate, and deep boxes, respectively. Further information on the model stoichiometry is given in the Supplement.

3 Results and discussion
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We explored the diversity, distribution, and activity of N2-fixing microbes and carbon fixers in the OMZ of the northern BoB during the northeast monsoon in January 2014. During the time of the cruise, low sea surface temperatures (SSTs; surface waters refer to water depths shallower than the mixed layer depth of 60 m) and low surface water salinity reaching from the coasts of India, Bangladesh, and Myanmar southwards to approximately 16 N were present (Fig. 1a, b). At the coast, this low-salinity and low-SST plume co-occurred with increased chlorophyll concentrations (Fig. 1c), thus suggesting a stimulation of primary production by waters possibly of riverine origin (Fig. 1c). This is in line with earlier suggestions of riverine-nutrient runoff promoting primary production close to the shelf, where nutrients are consumed rapidly, thus preventing their offshore transport (Kumar et al., 2004; Singh et al., 2012; Singh and Ramesh, 2011; Krishna et al., 2016). Chlorophyll concentrations in the BoB during the time of the cruise detected via satellite monitoring ranged between 0.08 mg m−3 in open waters and 15 mg m−3 at the northern coast and were consistent with previous in situ measurements during low productivity periods in the BoB (Kumar et al., 2010).

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Figure 2(a) Carbon fixation rates at stations 1, 4, and 5 and (b) sensor-based fluorescence measurements from station 1, 4, 5, and 6.

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The sampling stations were located offshore in the central BoB (Fig. 1), where waters were strongly stratified with low sea surface salinity but warmer SST compared to the coast and a steep oxycline reaching O2 concentrations close to anoxia at around 100 m water depth. No in situ chlorophyll measurements are available from the cruise, but a fluorescence sensor attached to the CTD showed a maximum of up to 0.8 mg m−3 between 32 and 90 m water depth (Fig. 2). Satellite-derived chlorophyll concentrations in the coastal BoB were in the range from 0.08 to 0.35 mg m−3, slightly higher than in a previous study of this region (0.06 mg m−3; Kumar et al., 2002). Carbon fixation rates ranged between 286 and 1855 nmolCL-1d-1 at the depth of the DCM (Fig. 2, 84 m); however, our rate measurements did not cover the water column above 60 m water depth, where rates may have been higher. Consistent with previous descriptions of primary producers at our study site (Loisel et al., 2013) and with satellite imaging (Fig. S1 in the Supplement), we identified cyanobacteria related to Synechococcus and Prochlorococcus as the most abundant primary producers in our metagenome from the BoB DCM, accounting for 3.3 % of OTUs, while eukaryotic phytoplankton accounted for only 0.3 % of OTUs (Table S1 in the Supplement).

Similar to chlorophyll, particulate organic carbon (Table S2; see also Fig. S2 for a distribution of POC in the BoB) concentrations were low, ranging between 4.96 and 7.84 µmol C L−1 in surface waters and resulting in an average POC:chlorophyll ratio of 68:1 to 115:1 at the depth of the DCM (Fig. 1). This ratio is comparable to POC:chlorophyll ratios reported from cyanobacteria-dominated communities (74:1 to 126:1; e.g., Lorenzoni et al., 2015; Sathyendranath et al., 2009), but it is higher compared to other OMZ regions (e.g., 50:1 in the eastern tropical South Pacific; Chavez and Messié, 2009; Chavez et al., 1996). Similarly, carbon fixation rates were 1–2 orders of magnitude lower compared to the Arabian Sea, the tropical South Pacific, and the tropical Atlantic (e.g., Longhurst et al., 1995). While our POC concentrations from DCM are 1 order of magnitude higher than the satellite-derived POC estimates (Fig. S2) from surface waters, indicating that POC and primary production in surface waters was not higher than in the DCM, it must be noted that our measurements did not cover the entire mixed layer and are thus likely a rather conservative minimum estimate.

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Figure 3N:P ratio at station 1, 4, 5, and 6, with the Redfield ratio of N:P=16:1 indicated with a red line. The negative intercept of the trend line indicates a deficit in dissolved inorganic nitrogen.

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Figure 4Maximum-likelihood tree of a 321 bp fragment of the nifH gene. Clusters identified by Sanger sequencing are indicated with triangles, with colors denoting the sequence abundances in our dataset. The light blue box indicates Cluster I sequences, including cyanobacteria (green line) and proteobacteria (blue line). Cluster III sequences are indicated with a red box.

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3.1N2 fixation in the upper water column and the oxycline

Based on the ratio of dissolved inorganic nitrogen (NO3-+NO2-) to phosphate (PO43-), which has a negative intercept with the y axis (Fig. 3; Benitez-Nelson, 2000), primary production in BoB waters appeared nitrogen limited during the cruise, assuming Redfield stoichiometry. This nitrogen limitation would be expected to create a niche for N2 fixation, but except for two samples for which in both cases only one out of three technical replicates showed an isotope enrichment, N2 fixation rates were below the detection limit (Table 2). In this context, it is important to note that our rate measurements only cover water depths between 60 and 280 m, thus excluding the upper part of the euphotic zone. However, the absence of N2 fixation even in waters shallower than 60 m is consistent with the observed δ15N signatures (data available from 3 to 2300 m water depth; Bristow et al., 2017) of both the nitrate and the particulate organic nitrogen (PON) pool. δ15N signatures were only slightly decreased in the top 100 m of the water column to 5 ‰–8 ‰ (Fig. S3), thus not speaking for the presence of active N2 fixation which would be expected to create substantially lighter δ15N signatures of −2 ‰–2 ‰ (e.g., Dähnke and Thamdrup, 2013). Several clusters of N2-fixing microbes were, however, identified by screening for the key functional marker gene nifH (Fig. 4). Only a few nifH sequences were associated with cyanobacteria commonly abundant in ocean surface waters, even in the euphotic zone at 10 m water depth. This pattern seems to be typical for OMZ areas (Fernandez et al., 2011; Jayakumar et al., 2012; Löscher et al., 2014) and for the eastern Indian Ocean (Wu et al., 2019), where cyanobacterial nifH sequences are also rare. Similar to earlier studies, which identified Trichodesmium in BoB surface waters (Bhaskar et al., 2007; Hegde, 2010; Wu et al., 2019), we detected nifH copies related to Trichodesmium in our samples, both by sequencing and by qPCR (Fig. 4; Table S3). These sequences clustered closely to Trichodesmium and nifH previously recovered from the Arabian Sea (Jayakumar et al., 2012; Mazard et al., 2004), where those N2 fixers were found in low abundances, but possibly actively fixing N2, as indicated by nifH presence in a cDNA library. No sequences related to the different groups of unicellular cyanobacterial diazotrophs (UCYN-A, UCYN-B, or UCYN-C; Zehr et al., 2001) were present in our nifH dataset. UCYN-A and UCYN-B have previously been found in the Arabian Sea, but only at oligotrophic stations with warm water temperatures >30C (Mazard et al., 2004). While UCYN-A may occur at temperatures below 25 C, Trichodesmium and UCYN-B may be limited by the water temperatures at our sampling stations, which were possibly too low, at around 25 C. Trichodesmium is usually abundant in high-iron-input regions such as the tropical Atlantic Ocean (Martínez-Pérez et al., 2016). The absence of Trichodesmium and other cyanobacterial N2 fixers may thus also result from an insufficient iron source (Moore et al., 2013). Additionally, light limitation due to severe atmospheric pollution (known as the South Asian brown cloud) which lasts over the BoB from November to May (e.g., Ramanathan et al., 2007) may influence the distribution of cyanobacteria in the BoB (Kumar et al., 2010). While earlier studies also detected Chaetoceros (Bhaskar et al., 2007; Hegde, 2010; Wu et al., 2019), a diatom known to live in association with diazotrophs, no diatom-associated N2 fixers could be identified from our sequences. Thus our data do not directly support previous suggestions of those specific diazotrophs producing low δ15N nitrate signatures along with high opal concentrations previously detected in sediment trap samples (Gaye-Haake et al., 2005).

3.2N2 fixation in the OMZ

In the cruise area, we detected again the genetic potential for N2 fixation, but N2 fixation rates were below the detection limit and δ15N signatures of nitrate and PON indicated nitrogen loss instead of N2 fixation (Fig. S3). The community of N2 fixers in the BoB consisted mostly of the non-phototrophic, proteobacterial representatives of nifH – clusters I and III (Fig. 4), most of them related to previously identified OMZ diazotrophs (Fernandez et al., 2011; Jayakumar et al., 2012; Löscher et al., 2014).

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Figure 5Venn diagram of nifH clusters present in Arabian Sea DNA libraries (AS) and in cDNA libraries (AS cDNA) and clusters identified in the BoB, O2-depleted basins of the Californian Bay (CB), the eastern tropical North Pacific (ETNP), and the eastern tropical South Pacific (ETSP). Clusters as depicted by triangles in Fig. S6 were collapsed based on a 98 % identity. The black area shows the clusters present in all OMZs. Numbers indicate the individual clusters in fields which would otherwise appear unproportionally large.

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A statistical comparison of BoB nifH sequences with OMZ diazotroph communities from the Arabian Sea, the eastern tropical South Pacific (ETSP), eastern tropical North Pacific (ETNP), and hypoxic basins in California Bay revealed a strong similarity, suggesting that certain diazotrophs are characteristic for OMZs (Fig. 5). Those typical OMZ clusters include uncultured γ-, δ-, and ε-proteobacteria and clostridia. Only one cluster was uniquely represented in the BoB and absent from the other OMZ datasets, with only three individual sequences related to Azotobacter chroococum. Another difference between the BoB and the other OMZ diazotroph communities was the composition of Cluster IV nifH sequences, which are present but cluster in different groups as compared to, for instance, the Arabian Sea Cluster IV community. It is, however, unlikely that Cluster IV diazotrophs are important for N2 fixation in the BoB or other OMZs because they were never shown to be transcribed (Fernandez et al., 2011; Jayakumar et al., 2012; Löscher et al., 2014), and Cluster IV nif is generally considered to encode non-functional nif or paralogous sequences (Gaby and Buckley, 2014; Angel et al., 2018). In addition, the presence of Cluster IV nifH sequences has previously been ascribed to PCR contamination (Zehr et al., 2003). Thus, the importance of this cluster for N2 fixation in OMZs is generally debatable, and the different composition of the Cluster IV diazotroph community likely .does not explain the absence of N2 fixation in the BoB.

While diazotroph communities highly similar to the identified BoB diazotrophs promote active N2 fixation in other OMZ waters, we have no consistent indication for N2 fixation in the BoB (Table 2). One explanation for the absence of N2 fixation could be the sensitivity of the BoB OMZ diazotrophs to O2 as opposed to the relative O2 tolerance of cyanobacterial N2 fixers. We identified BoB diazotrophs closely related to cultivated N2 fixers, including Vibrio diazotrophicus and Desulfonema limicola, which fix N2 only under strictly anaerobic conditions (Urdaci et al., 1988; Bertics et al., 2013; Gier et al., 2016). Further, communities of diazotrophs from other OMZs highly similar to the BoB diazotroph community were described to transcribe their nifH gene and to actively fix N2 only under strictly anoxic or anoxic–sulfidic conditions (Löscher et al., 2016, 2014; Jayakumar et al., 2012, 2017) and are unable to fix N2 in the presence of even minimal concentrations of O2 (reviewed in Bombar et al., 2016). N2 fixation in our samples (Table 2) may therefore be directly inhibited by the detected traces of O2. Thus, our data suggest that even only nanomolar O2 concentrations such as those present in the BoB may prevent non-phototrophic N2 fixers from actively fixing N2, which could ultimately limit the supply of new nitrogen to the BoB.

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Figure 6Model of the response of the BoB OMZ to a weaker stratification corresponding to increased upwelling in this model under a non-N2 fixation scenario with nitrate-driven production, photic-zone primary production dependent on N2 fixation, and a scenario of N2 fixation in the OMZ, which would result in build-up of a nitrogen stock and export to the productive surface if stratification becomes weaker.

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3.3 Role of Fe and mesoscale activities (eddies)

The high iron (Fe) requirement of N2-fixing microbes (60 times higher compared to other marine organisms; Gruber and Galloway, 2008) limits N2 fixation in large parts of the ocean (Moore et al., 2013). However, eolian Fe fluxes to surface waters of the southern BoB were estimated to be comparable to those detected underneath Saharan dust plumes in the Atlantic (290±70µmolm-2yr-1; Grand et al., 2015a). Indeed, dissolved Fe (dFe) accumulates in the BoB OMZ, reaching comparably high concentrations of up to 1.5 nM (Grand et al., 2015b; Chinni et al., 2019). In surface waters, dFe concentrations were described to range from 0.4 nM in the area of the cruise to up to 0.5 nM towards the north of the BoB, with increasing concentrations coinciding with decreasing salinity north of 15 N (Grand et al., 2015a, b; Chinni et al., 2019). While the reported Fe concentrations do not indicate Fe limitation of N2 fixation in the OMZ, surface primary production and N2 fixation may be limited by any other micronutrient. Indication for such a limitation can be derived from eddy-induced Ekman pumping; mesoscale dynamics and the summer monsoon current have been shown to trigger plankton blooms with high productivity (Jyothibabu et al., 2015; Vinayachandran and Mathew, 2003; Chen et al., 2013; Fernandes et al., 2009), possibly induced by upwelling of certain nutrients to surface waters. Besides locally increasing surface water chlorophyll concentrations, erosion of the strong stratification and subsequent nutrient input to surface waters result in a change of phytoplankton size class (Prasanna Kumar et al., 2004). While usually smaller phytoplankton dominate the primary producer pool (60 %–95 % of the total chlorophyll), the contribution of larger phytoplankton has been observed to double in the regions influenced by the summer monsoon current and in mesoscale eddies, which impacts the vertical organic carbon flux in the BoB temporally and locally (Jyothibabu et al., 2015; Prasanna Kumar et al., 2004; Huete-Ortega et al., 2010; Gomes et al., 2016). The resulting increase in organic matter production, the modified composition of organic matter (i.e., production fresh and labile particulate organic matter – POM), a faster export, and subsequent respiration could promote anoxic OMZ conditions in the BoB. This may subsequently allow for O2-sensitive processes to take place, which may include N2 fixation and nitrogen loss processes (Johnson et al., 2019), locally or regionally. Rapid changes in dissolved O2 induced by increased surface productivity and organic matter export were reported in the context of mesoscale water mass dynamics in the BoB (Johnson et al., 2019) and also in other eddy systems in the Atlantic, which showed rapid O2 exhaustion in otherwise oxic waters (Fiedler et al., 2016; Löscher et al., 2015). Episodes of increased biological productivity have also been reported from the BoB during both the pre-southwest monsoon and northeast monsoon (Kumar et al., 2004). Under those scenarios, large parts of the BoB's surface waters exhibited a strong pCO2 undersaturation compared to the atmosphere ( 350 µatm), resulting in an air–sea pCO2 gradient sometimes exceeding 100 µatm. This gradient is explainable only by an increase in biological primary production fueled by temporal external nutrient input (Kumar et al., 2004). As Singh et al. (2012) pointed out, these high-productivity episodes cannot be explained by riverine or atmospheric deposition of nutrients alone, but upwelling or N2 fixation would be required to sustain the nitrogen demand.

3.4 Feedbacks between N2 fixation and OMZ intensity

We used a simple model to test the conditions allowing for N2 fixation in the surface waters and in the OMZ of the BoB and the interplay of N2 fixation with primary production in response to changes in stratification (i.e., upwelling). We further explored how far N2 fixation controls O2 concentrations in the BoB OMZ. We simulated nitrate-driven primary production and primary production dependent on N2 fixation, which is representative of N2 fixation in the photic zone and governed by excess phosphorus and Fe availability as previously used in Canfield (2006) and Boyle et al. (2013). In addition, we simulated primary production that is dependent on OMZ-associated N2 fixation, which, in contrast to the classical N2 fixation scenario, is independent of a Redfield-based nitrogen deficit, with N2 fixation being active as long as phosphorus and Fe are available in concentration >0 (Bombar et al., 2016; Löscher et al., 2014). One weakness of this model simulation is that it only includes Fe as potentially limiting nutrient for N2 fixation, which is, according to the available datasets (Grand et al., 2015b; Chinni et al., 2019), not necessarily correct but may be valid as an indicator for any other unrecognized micronutrient limitation. Consistent with the previous deep-time models of Canfield (2006) and Boyle et al. (2013), our model exercise revealed that additional nitrogen supply by N2 fixation or other external nitrogen sources would generally exhaust the remaining traces of O2 with increasing upwelling (Fig. 6). According to our model, this would lead to denitrification, which is in line with O2-manipulated experiments as presented in Bristow et al. (2017) and consistent with the available isotope records from the OMZ (Fig. S3). A weaker stratification (in the model depicted as increased upwelling fluxes) would have the strongest effect on oxygen exhaustion and the onset of denitrification if primary production is dependent on N2 fixation in the photic zone, followed by OMZ-located N2 fixation and lastly by nitrogen recycling. Given that OMZ regions are sites of massive nitrogen loss characterized by a nitrogen deficit in the water column (Deutsch et al., 2007), the similar diazotroph community in the OMZ paired with an absence of N2 fixation in the euphotic zone suggest that OMZ-associated N2 fixation is the most likely scenario. Thus, nitrogen limited primary production in the BoB and in OMZs in general would be susceptible to changes in stratification, with increased upwelling of nutrient-rich waters causing O2 exhaustion. Considering the potential O2 sensitivity of OMZ diazotrophs based on the comparison with other OMZs, the interplay between O2 concentrations, stratification, and N2 fixation may act as a stabilizing feedback on the BoB OMZ, preventing full O2 depletion.

One factor possibly disturbing a possible stabilizing feedback is the external anthropogenic supply of nitrogen to the northern Indian Ocean. This additional nitrogen source is projected to increase over the next decades (Duce et al., 2008), potentially accelerating primary production in the future ocean, including the BoB. An atmospheric input in the range of 1.1 (model based) to 1.6 Tg N yr−1 (observation based) has been reported, which will likely increase in the future (Suntharalingam et al., 2019). This additional nitrogen fertilization would cause the same effect as N2 fixation in our model, thus exhausting the present traces of O2 in the OMZ rapidly. Until an increased supply of atmospheric or riverine nitrogen becomes significant, changes in water column stratification, however, likely impose the strongest control on N2 fixation and primary production and thus on respiration, nitrogen loss processes, and ultimately on the O2 status of the OMZ in the BoB.

4 Conclusion
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We detected a diazotrophic community similar to those from other OMZ regions; however, we could not obtain consistent evidence for active N2 fixation in the BoB. Coming back to our original question of whether there is N2 fixation in the BoB, our data suggest that the answer is no. In other OMZs, N2 fixation has been observed to largely vary temporally and spatially, but never reaching rates comparable to oligotrophic open ocean systems such as the Pacific gyres. Episodes of N2 fixation, however, could be induced by changes in water mass dynamics or riverine- or atmospheric-nutrient input. Resulting increased N2 fixation and primary production would possibly lead to O2 exhaustion in the BoB, which otherwise does not become fully anoxic.

Previous observations describing the absence of nitrogen loss processes in the BoB were explained by the remaining traces of O2 (Bristow et al., 2017) and possibly by a nitrogen deficiency relative to carbon in the organic matter pool. While we acknowledge that our dataset represents only a snapshot of the BoB's biogeochemical setting, our observations may help in predicting the future development of N2 fixation in the BoB and of the BoB OMZ with regard to increased atmospheric dust deposition and ocean fertilization (Duce et al., 2008), altered ocean circulation patterns (Yeh et al., 2009), and deoxygenation of the ocean as a consequence of global warming (Schmidtko et al., 2017; Stramma et al., 2008).

Code and data availability
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Code and data availability. 

Sequence data are available from GenBank (submission ID 2245434) and from NCBI's sequence read archive (accession number SRR9696254). The model code and other biogeochemical data are available from the PANGAEA database (Boyle, 2019, https://doi.pangaea.de/10.1594/PANGAEA.905498; Löscher et al., 2019, https://doi.pangaea.de/10.1594/PANGAEA.905496).

Supplement
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Supplement. 

The supplement related to this article is available online at: https://doi.org/10.5194/bg-17-851-2020-supplement.

Author contributions
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Author contributions. 

CRL analyzed the data with WM. CRL ran the model simulations and wrote the paper, with substantial contributions from all co-authors.

Competing interests
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Competing interests. 

The authors declare that they have no conflict of interest.

Special issue statement
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Special issue statement. 

This article is part of the special issue “Ocean deoxygenation: drivers and consequences – past, present and future (BG/CP/OS inter-journal SI)”. It is not associated with a conference.

Acknowledgements
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Acknowledgements. 

We thank the captain and crew of the ORV Sagar Kanya for their support during sampling. We especially thank the Ministry of Earth Sciences (MoES), India, for funding the research through the SIBER (INDIA) project GAP2425 and for making ORV Sagar Kanya available for this work. We thank Julian Dekaezemacker and Laura Piepgras for sampling on board, for providing nitrogen and carbon fixation rates, and for helpful comments on the dataset and Richard Boyle for providing the backbone model. We thank Laura Bristow for helpful comments on an earlier version of the paper, and we acknowledge Erik Laursen for technical assistance, Cameron Callbeck and Gaute Lavik for sampling, and Alexander Treusch and Michael Forth for providing access to subsamples for molecular analysis. We further thank Gerd Krahmann for help with the analysis of fluorescence data from the CTD. This study was supported by the Horizon 2020 program of the European Union (NITROX; grant no. 704272 to Carolin R. Löscher) and the Max Planck Society. Further funding was received from Villum Fonden (grant no. 16518; Donald E. Canfield) and the German Research Foundation in the frameworks of the Cluster of Excellence “The Future Ocean” and the Collaborative Research Center SFB754.

Financial support
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Financial support. 

This research has been supported by the European Commission, Horizon 2020 (NITROX; grant no. 704272); the Villum Fonden (grant no. 16518); the Collaborative Research Center (grant no. SFB754); the German Research Foundation (DFG); and the Max Planck Society.

Review statement
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Review statement. 

This paper was edited by Clare Woulds and reviewed by two anonymous referees.

References
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Oxygen minimum zones (OMZs) are ocean areas severely depleted in oxygen as a result of physical, chemical, and biological processes. Biologically, organic material is produced in the sea surface and exported to deeper waters, where it respires. In the Bay of Bengal (BoB), an OMZ is present, but there are traces of oxygen left. Our study now suggests that this is because one key process, nitrogen fixation, is absent in the BoB, thus preventing primary production and consecutive respiration.
Oxygen minimum zones (OMZs) are ocean areas severely depleted in oxygen as a result of physical,...
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