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The ISME Journal (2015) 9, 1319–1332 & 2015 International Society for Microbial Ecology All rights reserved 1751-7362/15 www.nature.com/ismej ORIGINAL ARTICLE Significance of archaeal nitrification in hypoxic waters of the Baltic

Carlo Berg1,2, Verona Vandieken1,3, Bo Thamdrup4 and Klaus Ju¨ rgens1 1Leibniz Institute for Baltic Sea Research Warnemu¨nde (IOW), Rostock, Germany; 2Stockholm University, Science for Life Laboratory, Stockholm, Sweden; 3Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Oldenburg, Germany and 4Nordic Center for Earth Evolution (NordCEE) and Department of Biology, University of Southern Denmark (SDU), Odense, Denmark

Ammonia-oxidizing (AOA) of the phylum are widespread, and their abundance in many terrestrial and aquatic suggests a prominent role in nitrification. AOA also occur in high numbers in -deficient marine environments, such as the pelagic gradients of the central Baltic Sea; however, data on archaeal nitrification rates are scarce and little is known about the factors, for example sulfide, that regulate nitrification in this system. In the present work, we assessed the contribution of AOA to oxidation rates in Baltic deep basins and elucidated the impact of sulfide on this process. Rate measurements with 15N-labeled

, CO2 dark fixation measurements and quantification of AOA by catalyzed reporter deposition–fluorescence in situ hybridization revealed that among the three investigated sites the highest potential nitrification rates (122–884 nmol l À 1per day) were measured within gradients of decreasing oxygen, where thaumarchaeotal abundance was maximal (2.5–6.9 Â 105 cells per ml) and CO2 fixation elevated. In the presence of the archaeal-specific inhibitor GC7, nitrification was reduced by 86–100%, confirming the assumed dominance of AOA in this process. In samples spiked with sulfide at concentrations similar to those of in situ conditions, nitrification activity was inhibited but persisted at reduced rates. This result together with the substantial nitrification potential detected in sulfidic waters suggests the tolerance of AOA to periodic mixing of anoxic and sulfidic waters. It begs the question of whether the globally distributed Thaumarchaeota respond similarly in other stratified water columns or whether the observed robustness against sulfide is a specific feature of the thaumarchaeotal subcluster present in the Baltic Deeps. The ISME Journal (2015) 9, 1319–1332; doi:10.1038/ismej.2014.218; published online 25 November 2014

Introduction 2010). As a consequence, questions arise regarding the ecological niche of AOA, their roles in nitrifica- Since the discovery that autotrophic ammonia tion and and the environmental oxidation is not restricted to the but is also factors that regulate their contribution to these performed by members of the Archaea (Venter et al., processes. 2004; Ko¨nneke et al., 2005; Treusch et al., 2005), The conversion of ammonia (NH3) or its proto- mesophilic ammonia-oxidizing archaea (AOA) have þ À nated form ammonium (NH4 ) to (NO2 ) is the been recognized as one of the most successful and first and generally rate-limiting step in nitrification ubiquitous groups of microorganisms on Earth (except to some extent in the primary nitrite (Francis et al., 2005; Offre et al., 2013). Phylogen- maximum in the oceans; Lomas and Lipschultz, etically affiliated with the novel phylum Thau- 2006). The relative contributions to ammonia oxida- marchaeota (Brochier-Armanet et al., 2008; Spang tion by autotrophic AOA and ammonia-oxidizing et al., 2010), AOA occur in high abundances in both bacteria (AOB) have been inferred using the archaeal terrestrial (Zhang et al., 2010; Pratscher et al., 2011) and bacterial amoA genes that encode subunit A of and aquatic (Yakimov et al., 2011; Biller et al., 2012; the key enzyme ammonia monooxygenase (see, for Amano-Sato et al., 2013) ecosystems, often out- example, Rotthauwe et al., 1997; De Corte et al., numbering bacterial ammonia oxidizers (Schleper, 2009; Sauder et al., 2011; Auguet et al., 2012). These studies often revealed the dominance of archaeal over bacterial ammonia oxidizers (Francis et al., Correspondence: K Ju¨ rgens, Section Biological Oceanography, 2005; Wuchter et al., 2006; Mincer et al., 2007; Leibniz Institute for Baltic Sea Research Warnemu¨ nde (IOW), Agogue´ et al., 2008; Newell et al., 2013). Further Seestrasse 15, Rostock D-18119, Germany. E-mail: [email protected] support for the strong role for AOA in nitrification Received 27 June 2014; revised 25 September 2014; accepted 3 comes from observations of the co-occurrence of October 2014; published online 25 November 2014 archaeal amoA in areas of nitrification activity Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1320 (Caffrey et al., 2007; Beman et al., 2008; Alves et al., high as 85–160 nmol l À 1 per day have been mea- 2013) and from metatranscriptomic studies (Baker sured (Hietanen et al., 2012). Labrenz et al. (2010) et al., 2012; Lesniewski et al., 2012). However, to reported the dominance of a single thaumarchaeotal determine the actual contribution and impact of subcluster, termed GD2, related to the autotrophic AOA on the cycle requires measurements Candidatus Nitrosopumilus maritimus (Ko¨nneke of ammonium oxidation rates, as they cannot be et al., 2005) that accounted for up to 26% of all deduced from transcript abundance alone prokaryotes in hypoxic waters. The high-level (Mumann et al., 2011), given that quantification is transcription of archaeal amoA further indicates a influenced by, for example, mRNA degradation substantial contribution of AOA to ammonia oxida- during sampling (Feike et al., 2012) and, in addition, tion (Labrenz et al., 2010; Feike et al., 2012). may not inevitably reflect environmental activity. Moreover, the dominance of archaea is in contrast In the globally expanding marine oxygen mini- to AOB abundance, as very low cell numbers (o1% mum zones and in other oxygen-deficient systems, of total cell numbers; Bauer, 2003) and amoA archaea are prominently embedded in the cycles of transcript levels below the detection limit (Labrenz (C) and nitrogen (N) (Lo¨scher et al., 2012; et al., 2010) point to their minor role in ammonia Stewart et al., 2012), consistent with the recognition oxidation in Baltic Sea redox gradients. However, of these systems as hot spots for chemolithoauto- cell abundance does not necessarily reflect the trophs (Ulloa et al., 2012). Concerted dissimilatory respective organism’s contribution to a specific microbial processes successively transform fixed process (Musat et al., 2008). AOA and AOB belong nitrogen species into dinitrogen gas (Lam and to different domains with specific physiologies, and Kuypers, 2011) and autotrophy promotes the fixa- levels of functional gene expression may not be tion of inorganic carbon into (Herndl et al., equally extrapolated to the process rates, and hence 2005). Accordingly, AOA have been shown to play alternative experimental approaches are required to an important role within the N (Francis et al., 2007; confirm this hypothesis. In the case of ammonia Stewart et al., 2012) and C cycles (Ingalls et al., oxidation, rate measurements can be linked with 2006). As AOA may contribute strongly to nitrifica- archaeal vs bacterial contributions by the use of tion and primary production, knowledge of their inhibitors specific for either Bacteria or Archaea ecology and regulation are crucial for the under- (Lo¨scher et al., 2012; Yokokawa et al., 2012). standing of -relevant N and C cycling in Sulfide (H2S) directly impairs and is oxygen-deficient zones. therefore toxic to most aerobic microorganisms, Nitrogen transformations and the responsible including nitrifiers (Joye and Hollibaugh, 1995); microorganisms have also been investigated in the thus, its mixing into hypoxic waters (0–10 mmol l À 1 oxic–anoxic transition zones of the water column of O2) such as those of Baltic redox gradients affects the central Baltic Sea (Hannig et al., 2007; Schneider microbial activities (Hoppe et al., 1990) and likely et al., 2010; Hietanen et al., 2012). Oxygen depletion also nitrification. The presence of AOA in sulfidic À in deep basins is accompanied by gradients of NO3 , environments (Caffrey et al., 2007; Coolen et al., À þ NO2 ,H2SandNH4 that are exploited by different 2007) suggests that they are able to cope with guilds of chemolithoautotrophic prokaryotes (Grote sulfide, unlike highly H2S-sensitive AOB (Sears et al., 2008; Labrenz et al., 2010; Glaubitz et al., et al., 2004). Among the oxygen-depleted systems 2013). Autotrophic ammonia oxidation is an essen- worldwide, the Baltic Sea presents an ideal habitat tial ecological function for the N and C cycle in the to not only investigate archaeal nitrification but also Baltic Sea that receives high loads of nutrient input its response to sulfidic conditions. The high abun- from its catchment area (Voss et al., 2011). Nitrifica- dance of Thaumarchaeota reported by Labrenz et al. tion fuels subsequent that in the (2010) in a sulfidic basin of the Baltic Sea suggested water column is mainly carried out by chemo- that they are the predominating ammonia oxidizers, lithoautotrophic prokaryotes that link the latter potentially because they are better adapted than process to the oxidation of reduced com- their bacterial counterparts to periodically sulfidic pounds (Brettar and Rheinheimer, 1991; Hannig conditions. Erguder et al. (2008) reported a shift et al., 2007; Dalsgaard et al., 2013). Anaerobic toward archaeal amoA enrichment in a sequential ammonia oxidation () has been shown to batch reactor when pulsed with sulfide. In the occur periodically upon major inflow events of pelagic redox gradient of the Baltic Sea, sulfide is oxygen-rich water, causing temporary nonsulfidic used as an electron donor by chemoautotrophic conditions (Hannig et al., 2007) in Baltic deep sulfide-oxidizing bacteria, for example, the auto- basins. As an extended oxygen- and sulfide-free trophic Sulfurimonas sp. subgroup GD17 (Grote zone is lacking most of the time (in contrast to the et al., 2008) and perhaps by Black Sea; Lam et al., 2007), ammonia oxidation is of the SUP05 group (Glaubitz et al., 2013), but short- carried out mostly aerobically because of the term mixing events would also expose sulfide- sensitivity of anammox bacteria toward oxygen sensitive microbes such as nitrifiers to low and and potentially sulfide (Jin et al., 2012; Carvajal- potentially toxic sulfide concentrations. In fact, Arroyo et al., 2013). Where ammonium and oxygen lateral intrusions and small-scale mixing have gradients overlap, potential nitrification rates as been shown to influence microbially mediated

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1321 transformations in pelagic redox gradients sampling for cell counts. At the same time, samples (Fuchsman et al., 2012) and are also frequent in from the second bottle were immediately analyzed þ À À the Baltic Sea (Kuzmina et al., 2005; Wieczorek on board for O2,H2S, NH4 ,NO3 and NO2 et al., 2008; Friedrich et al., 2014). concentrations (detection limits per liter: 1 mmol þ In this study we quantified Thaumarchaeota and for O2; 0.2 mmol for H2S; 0.2–0.5 mmol for NH4 and À À 1 À potential nitrification at different times and loca- NO3 , 0.05 mmol l for NO2 ) according to the tions, assessing the contribution of AOA to this method of Grasshoff et al. (1983) or Cline (1969) process by using archaea-specific inhibitors. In (for H2S). O2 was determined via automatic titration addition, we sought to elucidate the effect of sulfide (Titrino 702, Metrohm, Herisau, Switzerland); the on nitrification activity in Baltic Sea redox gradi- titer of the thiosulfate solution was determined daily ents. Our results provide compelling evidence that and the solution renewed if deviating 40.1 from the Thaumarchaeota are indeed responsible for the reference value of 1.0. Standards for H2S were run major portion of ammonia oxidation in hypoxic ranging from 0.1 to 3 mg l À 1 with an r2 between þ À waters of the Baltic Sea and that they are likely 0.9882 and 0.9997. Calibration for NH4 and NO3 adapted to its periodically occurring anoxic and was done using standards of 10 mmol l À 1 or À 1 À sulfidic conditions. 2 mmol l for NO2 . At Gotland Deep in 2011, water was retrieved in two consecutive CTD casts. Samples for the sulfide-spiking experiment and Materials and methods dissolved inorganic carbon determination were obtained in subsequent separate CTD casts. Sampling and physicochemical analyses Sampling was conducted in the eastern and western Gotland Basin and the Bornholm Basin (locations Quantification of Thaumarchaeota and Sulfurimonas and coordinates in Figure 1), specifically at Gotland sp. subgroup GD17 Deep station 271, Landsort Deep station 284 and From each depth, samples of 100 ml were fixed for Bornholm Deep station 213 during cruises with the 6–12 h with 0.2 mm filtered formaldehyde (2% final research vessels Alkor (February 2011), Elisabeth- concentration) at 4 1C. From these, volumes of 20– Mann-Borgese (July 2011) and Meteor (November 40 ml (profiles) or 4 ml (spiking experiment) were 2011 and June 2012). During all cruises, water was filtered onto 0.2 mm polycarbonate filters (Nuclepore collected, with emphasis on oxic–anoxic transition track-etched, Whatman, GE Healthcare, Freiburg, zones, in free-flow water bottles attached to a Germany). The filters were dried and stored at conductivity, temperature, and depth (CTD) probe. À 20 or À 80 1C until analysis. Catalyzed reporter For each depth, sampling was conducted with two deposition–fluorescence in situ hybridization was 5-l free-flow bottles (Hydrobios, Kiel, Germany). performed according to Pernthaler et al. (2002) with Water was taken from one bottle for nitrification and a few modifications. Briefly, the filters were

CO2 fixation rate measurements, followed by embedded in 0.1% agarose before digestion with lysozyme and achromopeptidase at 37 1C for 60 and 15 min, respectively. Hybridization with the horse- radish peroxidase-labeled Cren679 probe, specifi- cally targeting thaumarchaeotal subcluster GD2 64°N 50 m (Labrenz et al., 2010), was carried out overnight at 35 1C in the presence of 35% formamide, followed by tyramide signal amplification with Alexa Fluor 62°N 488 (Invitrogen, Life Technologies GmbH, Darm- Norway Finland 100 m stadt, Germany). Hybridization and quantification

Sweden targeting cells of Sulfurimonas sp. subgroup GD17 60 N ° was conducted with probe SUL90 and 55% formamide according to Grote et al. (2007). Dried 250 m 284 Landsort Deep filter sections were embedded in Vectashield 58 N ° mounting medium (Vector Labs, Burlingame, 271 Gotland Deep CA, USA) containing 40,6-diamidin-2-phenylindol.

56 N 500 m For enumeration by epifluorescence microscopy, ° 600–1400 40,6-diamidin-2-phenylindol-stained cells 213 Bornholm Deep from randomly selected microscopic fields were inspected using a Zeiss Axioskop 2 mot plus (Zeiss, 54°N Ocean Data View Oberkochen, Germany). 10°E2015°E25°E °E30°E

Figure 1 Overview of the locations of the three sampled sites in Potential nitrification rates the Baltic Sea: station 213 at the Bornholm Deep (551 15.0300 N, À 115 1 1 Incubations with amended 5 mmol l NH4Cl (99% 015 59.1400 E), station 271 at the Gotland Deep (57 19.2041 N, 15 0201 02.9291 E) and station 284 at the Landsort Deep (581 35.0056 N, Cambridge Isotope Laboratories, Tewksbury, MA, N, 0181 14.0344 E). USA) were conducted as described in Holtappels

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1322 et al. (2011) with minor modifications. We consider (122 nmol l À 1 N per day at a depth of 110 m) was the measured nitrification rates as potential rates retrieved and transferred to 0.5-l or 1-l bottles as 15 because the addition of NH4Cl resulted in ammo- described above but, because of limitations in the nium concentrations significantly exceeding the sample volume, without overflow. The bottles were in situ concentrations (Supplementary Table S1). randomly assigned to one of four H2S treatment The details of the procedure are as follows: sample groups, generated by adding H2S as spikes from a À 1 water was transferred from the CTD into 0.5-l or 1-l stock solution of 188 mmol l H2S to final concen- glass bottles with a threefold overflow and then trations of 0 (control), 4.1, 8.3 and 16.6 mmol l À 1.To closed without headspace with polytetrafluoroethy- detect a potential impact of sulfide addition on lene-taped butyl rubber stoppers. The bottles were nitrification activity after spiking, potential nitrifi- transferred to a cooling room (6–11 1C) where a gas- cation rates were measured as described above, that tight syringe (Hamilton, Bonaduz, Switzerland) was is, by subsampling from one bottle of each group used to inject them with 5 mmol l À 1 of an anoxic into Exetainer vials at 0, 24 and 48 h after spiking, 15 NH4Cl solution. Before and after tracer amendment, such that nitrification rate determinations covered þ the total NH4 concentration in the samples was the intervals 0–24, 24–48 and 48–72 h. The Exetai- determined in order to calculate the percentage of ner incubations were similarly stopped for parallel 15 þ NH4 labeling that ranged between 21% and 100% vials of the control and each sulfide amendment (Supplementary Table S1). The water was distributed four to nine times during the following 24 h in order from the bottle into aliquots of 12 ml in Exetainer to determine potential nitrification rates. In addi- glass vials (Labco Ltd, Lampeter, UK). For this, the tion, samples from the bottles and Exetainers were bottle was placed upside down, gently discharging fixed with ZnCl2 to measure sulfide concentrations the sea water by replacement with N2 through a glass according to Cline (1969). tube into Exetainer vials with threefold overflow one after another. Then, the Exetainers were immediately

capped without headspace. Incubations took place in Dark CO2 fixation the dark at approximately the in situ temperature. Rates of dark CO2 fixation were determined, slightly Two or three vials were removed approximately every modified, as described in Jost et al. (2010). Sea water 6 h over a period of 30 h from the beginning of the was transferred directly from the CTD bottles into experiment. Headspace was added to each vial then 12 ml Exetainer glass vials with threefold overflow. they were frozen at À 20 1C. The vials were closed without headspace after For mass-spectrometric analysis, the frozen sam- which a gas-tight syringe was used to add B1.85 À 14 ples were thawed, and NO3 in a 4.5-ml aliquot MBq of NaH CO3 (Hartmann Analytic GmbH, À B reduced to NO2 ,adding 0.3 g spongy cadmium per Braunschweig, Germany) from an anoxic stock sample, as described by Jones (1984). After horizontal solution. Three parallels plus a killed control, in shaking overnight, the tubes were centrifuged and which the sample was fixed with formaldehyde (2% 4 ml of the supernatant was transferred into new 6 ml final concentration), were incubated at approxi- Exetainer vials. These vials were then closed with mately the in situ temperature for 24 h; the exact caps and flushed with helium (grade 5.0) for 10 min. times were noted. The incubations were stopped by À The NO2 pool was reduced to N2 as described in filtering the contents of the vials onto 0.2 mm Fu¨ssel et al. (2011) by adding 50 mlof4%sulfamic cellulose acetate (Sartorius, Go¨ttingen, Germany) or acid and shaking the samples overnight. With only a polycarbonate (Nuclepore track-etched, Whatman) À 15 À small fraction of the bulk NO2 labeled, NO2 was filters (25 mm diameter). Before filtration, 50 mlof converted to 15N14N. The vials were stored upside the sample was withdrawn to determine the total down until gas chromatographic isotopic ratio mass radioactivity added to each vial. The filters were spectrometry analysis was carried out within a few exposed to HCl fumes for 0.5–2 h and then trans- days. The accumulation of 15N14N was determined by ferred into 4 ml of LumaSafe scintillation cocktail gas chromatographic isotopic ratio mass spectrometry (PerkinElmer, Rodgau, Germany). Total- and fil- analysis (Delta V plus Isotope Ratio MS, Thermo ter-14C disintegrations per min were analyzed in a Finnigan Conflo III, Thermo Fisher Scientific, Wal- PerkinElmer Tri-Carb 2800R liquid scintillation tham, MA, USA) analysis of a 500-mlsampleofthe analyzer. CO2 fixation rates were derived (see headspace N2. Potential nitrification rates were Supplementary Information) from the fraction of 29 28 14 derived from the excess in the N2/ N2 ratio, C incorporated in relation to the total activity measured over time during the incubation period, added and the background concentration of dis- above the initial ratio and from the percentage of 15N solved inorganic carbon ranging between 2003 and labeling of ammonia (see Supplementary Information; 2037 mmol kg À 1 (Gotland Deep, July 2011). The Thamdrup and Dalsgaard, 2000). determination of CT was performed by coulometry using the SOMMA system designed by Johnson et al. (1993). The system was calibrated with Sulfide-spiking experiment certified carbon reference material (Dr A Dickson, At the Gotland Deep site in 2011, water from the University of California, San Diego, La Jolla, CA, USA) zone with the highest potential nitrification rates and allowed for a precision/accuracy of approximately

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1323 ±2 mmol kg À 1. Counts of the killed controls were analysis of variance Po0.0004; Figure 2) within 24 h subtracted before the rates were calculated. and was therefore chosen as the archaeal inhibitor

for environmental samples. The GC7 solvent (acetic Domain-specific inhibition of archaea and bacteria acid) was likewise tested and had no significant Taking advantage of the fundamental differences in inhibitory effect on AOA (Supplementary Figure S1). the translation machinery of Archaea and Bacteria, For the environmental samples, GC7 dissolved in 5 mmol l À 1 acetic acid to a concentration of we chose inhibitors targeting archaeal or bacterial À 1 protein biosynthesis and tested them before in situ 100 mmol l was prepared as a stock solution 1 application. To do so, the chemoautotrophic activity and stored at À 20 C until use. For inhibitor experiments, sample water from the Gotland Deep (dark CO2 fixation rates) of a thaumarchaeotal AOA 15 enrichment culture was used to determine the and the Landsort Deep was amended with NH4Cl extent of inhibition. This culture, originally and then distributed into 6 or 12 ml vials as described above. Immediately afterwards, GC7 was obtained from the redox gradient of the Landsort À 1 Deep and enriched over a period of 1.5 years in the injected (1 mmol l final concentration) into the presence of streptomycin and NH Cl, contained vials that were then incubated alongside the 4 controls (without inhibitor) for 6, 12 or 24 h. Activity 89–97% archaea (according to catalyzed reporter 1 deposition–fluorescence in situ hybridization (probe was arrested by freezing the samples at À 20 C. Arc915); C Berg et al., unpublished data). The archaeal inhibitors, N1-guanyl-1,7-diaminoheptane (GC7; Biosearch Technologies, CA, USA) (Jansson Statistical analyses et al., 2000) and diphtheria toxin (Sigma-Aldrich, All statistical analyses were performed with the Germany) (Mumann et al., 2011; Yokokawa et al., PAST software package v 3.0 (Hammer et al., 2001). 2012), at concentrations of 0.25–2.0 mmol l À 1 Correlation between potential nitrification rates and and 0.5–10 mgmlÀ 1, respectively, and the bacterial the abundance of Thaumarchaeota was tested via inhibitor erythromycin (VWR, Germany), at concen- linear bivariate regression of measured potential trations between 10 and 50 mgmlÀ 1 (Yokokawa et al., nitrification rates and thaumarchaeotal cell counts. 2012) were assessed. GC7 shuts down biosynthesis Domain-specific inhibition of CO2 fixation activity via cell cycle arrest and specifically targets in an AOA enrichment culture with inhibitors at archaea (Jansson et al., 2000), including Ca. N. several concentrations was compared using one-way maritimus SCM1, but it has no effect on AOB analysis of variance followed by Tukey’s pairwise (Lo¨scher et al., 2012). comparison. A generalized linear model was used to Whereas diphtheria toxin caused no inhibition, test for significant difference of regression slopes from À 1 GC7, at a concentration of 1 mmol l , significantly zero. Difference in regression slopes of potential reduced dark CO2 fixation activity by 81% (one-way nitrification rates with and without GC7 or erythromy- cin was tested using one-way analysis of covariance. 700 ANOVA, p < 0.0004 600 Results ) -1 500 d Redox zone structure in the Gotland Deep, Landsort -1 Deep and Bornholm Deep 400 * At the Gotland Deep in July 2011, the water column was oxygenated in the upper 119 m, including a 300 hypoxic zone with low oxygen concentrations * À 1 fixation (nmol L (nmol fixation

2 200 (o10 mmol l ) between 109 and 119 m (Figure 3). * *

CO An overlap of oxygen with small amounts of sulfide 100 was detected between 114 and 119 m. Below this * depth, sulfide concentrations increased. The sam- 0 pling depths, which spanned from 74 to 119 m, L L mM m m mL g/ covered a broad peak of , with a maximum µg/mL Control µg/ µ À 1 C7 2 mM 0 0 GC7 1 G 5 concentration of 8.4 mmol l at 104 m. Nitrite GC7 0.5 mM GC7 0.25 mM EM 1 EM 20 µg/ EM ranged between 0.1 and 0.4 mmol l À 1. Ammonium

2 mM + EM 50 was detectable in the hypoxic zone at concentra- GC7 tions of 0.1–0.2 mmol l À 1 and increased progres- Inhibitor sively with depth. Total prokaryotic cell numbers 5 Figure 2 Evaluation of different concentrations of GC7 and ranged between 3.2 and 7.5 Â 10 cells per ml, erythromycin (EM) on CO2 fixation rates in a thaumarchaeotal with a peak in the hypoxic zone at 110 m. The enrichment culture. Measurements were conducted in triplicate Thaumarchaeota subcluster GD2 accounted for subsamples taken from the culture; error bars show s.d. 2–24% of total cell numbers, reaching a maximal *Significant (Po0.0004) difference of the treatment compared 5 with the control (one-way analysis of variance (ANOVA) and abundance of 1.8 Â 10 cells per ml at 110 m, that is, Tukey’s pairwise comparison). within the hypoxic zone.

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1324 -1 - -1 Cren679 %Cren679 CO Fixation O2 (µmol L ) NO3 (µmol L ) 2 (105 cells mL-1) of DAPI (nmol L-1 d-1)

0 5 10 15 20 0 2 4 6 8 1001234501020304050 0 10 20 250 500 70 70

80 80

90 90

100 100

110 110 Depth (m) Depth (m) oxic 120 sulfidic 120

130 130

140 140 0 5 10 15 20 0 1 2 5 100246810050100150200 0 10 20 250 500

-1 + potential nitrification H2S (µmol L ) NH4 DAPI CO2 Fixation 5 -1 -1 -1 -1 -1 - (µmol L-1) (10 cells mL ) rate (nmol L d ) (nmol L d ) NO2

À À þ Figure 3 Detailed profile of the Gotland Deep redox zone in July 2011. Concentrations of NO3 ,NO2 ,NH4 ,H2S and O2, total prokaryotic cell numbers counted by 40,6-diamidin-2-phenylindol (DAPI) staining, GD2 thaumarchaeotal cell abundances (catalyzed

reporter deposition–fluorescence in situ hybridization (CARD-FISH) probe Cren679), potential nitrification rates and CO2 fixation rates were determined. The hypoxic zone, where oxygen concentrations were o10 mmol l À 1, is shaded gray. Error bars show s.d. of triplicate 29 samples (CO2 fixation rates) or the s.e. of the slope of excess N (potential nitrification rates).

At the Landsort Deep in June 2012, the hypoxic nitrification rates. This level of carbon fixation was zone was sampled within a gradient of decreasing at least 20-fold lower than the rates in the upper nitrate, also covering nitrite maximum (Figure 4). sulfidic waters of the Gotland Deep that were as high Ammonium concentrations increased pronouncedly, as 380 nmol l À 1 per day (Figure 3). from 0.1 to 1.4 mmol l À 1, whereas oxygen concentra- tions decreased from 22 to 2.7 mmol l À 1. Sulfide did Potential nitrification rates in Baltic Sea redox zones not exceed 0.1 mmol l À 1.AttheGotlandDeepinJune Potential nitrification, as evidenced from the 15 À À 2012, the hypoxic zone was sampled at depths increase in N label in the NO2 and NO3 pools 15 þ between 70 and 104 m (Figure 5) above the sulfidic/ with time after NH4 addition, was detectable on anoxic zone that was not covered by the sampling all sampling occasions at varying rates and within depths. The physicochemical profile deviated from depth intervals of several meters. Maximal potential the typical stratification by showing a narrow band of nitrification rates in the redox zones of the Gotland þ increased H2SandNH4 concentrations at 94 m. Deep (Figure 3) and Landsort Deep (Figure 4a) Above this intrusion, sharp peaks in nitrate and nitrite in 2011 and 2012 were in the range of were located at depths of 85 and 89 m, respectively. 133–351 nmol l À 1 per day (Supplementary Table S1). The Bornholm Deep in 2011 was characterized by In the Bornholm Deep, maximum rates of a declining oxygen gradient, with concentrations 189–884 nmol l À 1 per day were measured within a as low as o10 mmol l À 1 above the sea floor narrow zone above the sea floor at 78 m depth þ (Supplementary Table S1), coinciding with NH4 (Supplementary Table S1). In both the Gotland Deep concentrations of 13.6 (November 2011) and and Landsort Deep, the zone of maximal nitrifica- 1.8 mmol l À 1 (July 2011). The highest potential tion was generally located below the nitrate peak nitrification rates were detected in November 2011, and at oxygen concentrations o10 mmol l À 1, when Thaumarchaeota were highly abundant coinciding with the nitrite peak (Figures 3 and 4). (4.3 Â 105 cells per ml). Also at this site, hydrogen Increasing potential rates of nitrification were sulfide was detected above the sea floor at a accompanied by decreasing oxygen concentrations concentration of 23.4 mmol l À 1. and a high abundance of GD2 Thaumarchaeota cells Dark CO2 fixation, as a measure of chemoauto- (Supplementary Figures S2 and S3). For the com- trophic activity in the nonsulfidic, hypoxic zones of bined data from the Gotland Deep, Landsort Deep the Bornholm Deep, Gotland Deep and Landsort and Bornholm Deep, the relationship between Deep (Figures 3–4, Supplementary Table S1), potential nitrification rates and thaumarchaeotal achieved rates of up to 28, 19, and 58 nmol l À 1 per abundance varied considerably but the correlation day, respectively, coinciding with high potential was positive and significant (Po0.002, r2 ¼ 0.20,

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1325

Cren679 CO2 Fixation -1 NO - (µmol L-1) 5 -1 -1 -1 O2 (µmol L ) 3 (10 cells mL ) (nmol L d )

0 5 10 15 20 250123 45 6012345 0 10 20 30 40 50 74

76 Depth (m)

78

Depth (m) 79.6 80

81.0

82

0120.0 0.5 1.0 1.5 0 5 10 15 0 200 400 H S (µmol L-1) + 2 NH4 -1 DAPI potential nitrification (µmol L ) 5 -1 -1 -1 - (10 cells mL ) rate (nmol L d ) NO2 %Cren679 of DAPI )

-1 500 79.6 m 81.0 m 500 - 3 400 400 -1 +GC7 1 mmol L 300 300 +EM 10 µg mL-1 + NO -

2 control 200 200 GC (regression)

NO 7 100 100 control (regression) production (nmol L 0 0 EM (regression) 0 6 12 18 24 30 36 0 6 12 18 24 30 36 time (h) time (h) Figure 4 (a) Profile within the hypoxic waters of the Landsort Deep redox gradient in June 2012. Error bars show the s.d. of triplicate 29 samples (CO2 fixation rates) or the s.e. of the slope of excess N (potential nitrification rates). Water from 79.6 and 81 m was used to À À þ determine nitrification activity in the presence of specific inhibitors. (b) Time course of NO2 þ NO3 production from NH4 , taking into 14 þ 15 þ account both the ambient NH4 and added NH4 concentrations during nitrification. Measurements were made in untreated samples À À (control) and in the presence of archaeal (GC7) and bacterial (erythromycin (EM)) inhibitors. Regression slopes of NO2 þ NO3 production À 5 of GC7-treated samples differed significantly from the control at Po10 , whereas those treated with EM were greater than the control at P40.1 (79.6 m) and P40.01 (81 m), respectively (one-way analysis of covariance (ANCOVA)). n ¼ 46) (Supplementary Figure S3). At Gotland way analysis of covariance, Po10 À 5) compared with Deep, July 2011, anammox activity was not detected the untreated controls (Figure 4b). Nitrification was in incubations from selected depths (114–124 m) as most strongly inhibited within the first 6 h (83–86%) 29 evidenced from the absence of significant N2 at both depths, with the effect tailing off with longer accumulation over time (Supplementary Figure S4). incubation times. In contrast, nitrification activity in A potential nitrification rate of 62 nmol l À 1 per samples treated with the bacterial inhibitor erythro- day was also measured in samples taken from a mycin either did not decrease or increased slightly À 1 moderately sulfidic depth (3 mmol l H2S, 124 m), at (one-way analysis of covariance, Po0.2 and the Gotland Deep in July 2011 (Figure 3). In the Po0.02, respectively) relative to the untreated hypoxic zone of the Gotland Deep in June 2012 controls. In water from the Gotland Deep in June (Figure 5a), potential nitrification rates of 2012, when a sulfidic intrusion was observed and 0.2–4.3 nmol l À 1 per day were measured in depths potential nitrification rates were substantially lower from 82 to 87 m, close to a narrow band of anoxic overall, the addition of GC7 resulted in the complete þ water enriched in H2S and NH4 at 94 m. elimination of nitrification (Figure 5b) as evidenced À À from negative regression slopes of NO2 þ NO3 production significantly different from the Impact of domain-specific inhibitors on nitrification untreated controls (one-way analysis of covariance, activity 82.1 m: Po0.4; 84.5 m: Po10 À 4; 87.0 m: Po0.05). In samples from two depths of the Landsort Deep (79.6 and 81 m) collected in June 2012 and treated Sulfide-spiking experiment with the archaeal inhibitor GC7, the potential Sulfide was added to water taken from the nitrification rate was significantly reduced (one- nitrification maximum (110 m depth) of the

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1326 Cren679 O (µmol L-1) - -1 5 -1 2 NO3 (µmol L ) (10 cells mL ) 0 5 10 100 200 300 01230246810

70

75

80 82.1

85 84.5 87.0

90 Depth (m) Depth (m)

95

100

105 02468100123 0246 810

-1 NH + H2S (µmol L ) 4 potential nitrification - -1 -1 NH2 rate (nmol L d ) (µmol L-1)

3 3 3 10 10 ) 87.0 m ) -1 82.1 m 84.5 m -1 2 2 2 - - 3 0 0 3

1 1 1 -10 -10 + NO + NO - - 2 0 0 0 2 NO -20 -20 NO -1 -1 -1 production (nmol L -2 -2 -2 -30 -30 production (nmol L 0 6 12 18 24 30 36 0 6 12 18 24 30 36 0 6 12 18 24 30 36 time (h) time (h) time (h)

-1 +GC7 1 mmol L control control (regression) GC7 (regression)

Figure 5 (a) Physicochemical profile of the Gotland Deep hypoxic zone in June 2012 during a sulfidic intrusion. Error bars show the s.e. of the slope of excess 29N. Nitrification was measured at three depths above the intrusion and in the presence or absence of the archaeal À À inhibitor GC7.(b) Time course of NO2 and NO3 production during nitrification at three depths in the Gotland Deep in 2012.

Gotland Deep in July 2011 (Figure 3) to examine Table 1 Effect of H2S addition on nitrification activity its effect on nitrification. Between sulfide (nmol l À 1 per day) in water taken from the Gotland Deep addition and the distribution of samples into the nitrification maximum Exetainer vials, sulfide losses were minimal Spikes of H S(mmol l À 1) (Supplementary Figure S5); nonetheless, over time 2 sulfide concentrations decreased in both the 0 (control) 4.1 8.3 16.6 bottles and the Exetainers (Supplementary Figure S5A vs B). Nitrification was significantly inhibited 0–24 h 132 128 2 (1.5%) 15 (11.5%) 0 0 0 0 (one-way analysis of variance, Po10 À 5)bythe 24–48 h 190 115 54 (35.4%) 13 (8.5%) 0 0 0 0 À 1 addition of 4.1 mmol l H2S(Table1).Ahigher 48–72 h 246 174 28 (13.3%) 24 (11.4%) 8 (3.8%) 0 0 0 À 1 concentration of H2S(8.3mmol l H2S) further decreased potential nitrification rates compared Values in parentheses are the percentage of activity remaining after À 1 H2S spiking relative to mean nitrification in the untreated control with the untreated control, and 16.6 mmol l H2S samples. Results from each of the duplicate incubations are shown. completely inactivated nitrification activity. Nitrification was determined within 0–24, 24–48 and 48–72 h after the Cell numbers of Sulfurimonas sp. subgroup addition of sulfide. GD17 increased by up to 25-fold during the incubations, especially in those with H2S addition Discussion (Supplementary Figure S6), where CO2 fixation rates were also higher than in the untreated control Our study shows that Thaumarchaeota are the main (Supplementary Figure S7). catalyzers of ammonia oxidation in Baltic Sea redox

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1327 gradients as revealed by domain-specific inhibition AOB may be more susceptible to sulfide (Joye and experiments. This habitat, harboring one dominat- Hollibaugh, 1995), making AOA the main utilizers ing group of Thaumarchaeota (Labrenz et al., 2010), of ammonium. In contrast, in the Black Sea, is periodically exposed to sulfidic intrusions from anammox bacteria obtain nitrite from aerobic ammo- subjacent waters into the nitrification zone. Addres- nia oxidizers and compete with them for ammonium sing this ecological feature via a sulfide-spiking (Lam et al., 2007), whereas in Baltic redox gradients experiment, we found that nitrification persisted ammonium may exclusively be used by AOA to after sulfide pulses of in situ-like concentrations, produce the nitrite that subsequently fuels auto- suggesting a tolerance against sulfide by AOA trophic denitrification. The dominance and high assemblages in the Baltic Deeps. cell numbers of AOA in the Baltic Sea basins might be caused by the close proximity of the nitrification zone to sulfidic waters.

Nitrification activity, CO2 fixation and the distribution The energy provided by aerobic ammonia oxida- of Thaumarchaeota tion serves to carry out CO2 fixation for growth in In hypoxic areas of the Baltic deep basins, nitrifica- autotrophic Thaumarchaeota. In our measurements, tion was detected at varying rates during several potential nitrification rates usually were one order seasons, covering more than 1 year. Low-oxygen of magnitude higher than the corresponding CO2 waters above the onset of sulfide consistently fixation activities. This is in line with the 10:1 hosted maximal thaumarchaeotal abundances ratio of N oxidized per C incorporated reported (Supplementary Figure S2), showing that AOA are for nitrifiers (Tijhuis et al., 1993; Middelburg, 2011) a stable component of Baltic Sea redox gradients as and suggests that CO2 fixation in Baltic Sea hypoxic presumed by Labrenz et al. (2010). The highest zones is coupled mainly to nitrification by AOA. À 1 potential nitrification rates (maximum 884 nmol l In general, the rates of CO2 dark fixation in per day) along with abundant Thaumarchaeota hypoxic waters were notably lower than those in (4.3 Â 105 cells per ml) were detected at Bornholm the upper sulfidic zone, a difference attributed to Deep in November 2011. This site showed an the activity in the latter of high numbers of ammonium gradient with concentrations higher chemoautotrophic denitrifiers of the Sulfurimonas than those detected in the other deeps. In general, sp. subgroup GD17 (Grote et al., 2007, 2008; Jost our data confirm the temporal and spatial variability et al., 2008). in potential nitrification rates reported by Hietanen et al. (2012) but also underline the persistence of nitrification in the Baltic Sea over time. Anaerobic Thaumarchaeota contribute substantially oxidation of ammonium (anammox), however, was to nitrification not detected in selected depths of the Gotland Deep Our archaea-specific inhibition experiments provide (Supplementary Figure S4), and this is in accor- evidence of the major contributions of archaea to dance to detectable anammox activity only after the nitrification. The Landsort Deep exhibited high inflow of oxygen-rich water into the Baltic Sea potential nitrification rates that were inhibited up

(Hannig et al., 2007). Thus, ammonia oxidation to 83–86% by GC7 (Figure 4); at the Gotland Deep, occurred probably mostly aerobically in Baltic Sea nitrification rates were comparably low and com- redox gradients. pletely inhibited by the archaea-specific inhibitor The abundance of marine group I Thaumarchaeota (Figure 5). The different inhibition levels at the two in the Black Sea hypoxic zone is one order of sites may be because of their different hydrological magnitude lower, at 4.3 Â 104 cells per ml (Lam histories: Landsort Deep showed a stable stratifica- et al., 2007), than in the Baltic Sea, concurrent with tion, whereas at Gotland Deep, a sulfidic intrusion the lower nitrification rates of 5–50 nmol l À 1 per day (Figure 5) may have impaired activities of ammonia (Ward and Kilpatrick, 1991) although potential oxidizers before sampling, resulting in low potential nitrification rates—as in our study—may be higher nitrification rates, and cells being more susceptible than the actual in situ nitrification rates (Horak to the biosynthesis inhibitor GC7. In addition, the et al., 2013). Similarly, in the Cariaco Basin, tailing off of inhibition by GC7 at Landsort Deep may Thaumarchaeota comprise maximally 9% (Cren537 relate to the degradation of the inhibitor by amine probe) (Lin et al., 2006) to 13% (Cren679 probe, oxidases (Park et al., 1994), such that inhibition was maximum 1.5 Â 104 cells per ml; Gordon Taylor, reversible (Jansson et al., 2000), or by the recovery of personal communication) of the total cell counts but incompletely inhibited cells. also prevail around the redox transition zone. These Taken together, inhibition of archaeal nitrification comparisons show that pelagic Baltic redox gradi- by GC7 and the correlation between thaumarchaeotal ents offer particularly favorable conditions for both abundance and nitrification activity in Baltic Sea high nitrification activities and high AOA abun- depth profiles provide complementary evidence that dances. Apparently, AOA are the best-adapted archaea are the main mediators of ammonium ammonia oxidizers to the predominant sulfidic oxidation in these waters. Given the low diversity conditions in this system, as anammox occurs only of the archaeal community (Labrenz et al., 2010), the during sulfide-free periods (Hannig et al., 2007) and determined ammonia oxidation activities likely rely

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1328 on only one well-adapted dominant subcluster, as indicated by their strongly increased cell num- related to Ca. N. maritimus. bers (Supplementary Figure S6) and elevated CO2 fixation activities (Supplementary Figure S7). Thus, 15 À 15 À potential consumption of NO2 or NO3 produced Impact of sulfide on ammonia-oxidizing by nitrification may even have led to underesti- Thaumarchaeota mated or undetectable nitrification at higher sulfide Episodic sulfidic plumes have previously been concentrations. Presuming stoichiometry of chemo- recognized to occur in oxygen minimum zones, for lithoautotrophic denitrification by Sulfurimonas example, off Peru (Schunck et al., 2013) and the gotlandica str. GD1 as calculated by Bruckner et al. Namibian Shelf (Lavik et al., 2009). In Baltic Sea (2013), added sulfide would have been sufficient to À redox gradients, periodic intrusions of different denitrify the NO3 pool. Given the impairment of water layers result in the juxtapositioning of sulfide pulses on nitrification activity, the supply of sulfidic, anoxic and low-oxygen waters that undergo oxidized nitrogen in redox gradients by nitrification temporal changes (Hannig et al., 2007; Bruckner is also indirectly suppressed by intermittent sulfidic et al., 2013). The sulfidic part of the redox gradient water masses being toxic to nitrifiers. does not permit oxygen-driven ammonia oxidation On the ecosystem level, our findings emphasize and, correspondingly, amoA expression is minimal the effect of sulfide on nitrifiers in regulating here (Labrenz et al., 2010). Instead, at these depths nitrogen budgets in the Baltic Sea and they are in Thaumarchaeota may reside inactive. Notably, the line with those of Joye and Hollibaugh (1995), who detected nitrification potential, likely because of showed that the inhibition of nitrification in sedi- small oxygen additions during sampling (De ments by sulfide limits nitrogen loss processes. Brabandere et al., 2012), of 62 nmol l À 1 per day at a Different histories, that is, lateral intrusions vs sulfidic depth (Figure 3) suggests that AOA persist small-scale vertical mixing with sulfidic waters, during sulfidic conditions and quickly become may therefore explain the varying nitrification rates active as soon as oxygen is again available. reported in this and previous (Hietanen et al., 2012) Hietanen et al. (2012) pointed out that a nitrification studies. For example, at the Bornholm Deep, sulfidic potential might extend into deeper layers, even into conditions occur less frequently such that nitrifica- the sulfidic waters. Physiological adaptations, for tion is more stable, proceeding at higher rates and example, in cell membrane composition, may enable fostering high AOA abundance. Moreover, the Thaumarchaeota to tolerate the sulfide pulses portion of Thaumarchaeota residing in sulfidic encountered in the nitrification zone or sulfide waters provides a high potential for nitrification accumulation in these waters. This would enable upon oxygenation and may therefore represent a sulfide-tolerant Thaumarchaeota to also persist in stable and important component within the N cycle sulfidic waters and carry out ammonia oxidation in the Baltic Sea, particularly in light of the dynamic after ventilation of sulfidic deep waters caused by perturbations and lateral intrusions that character- major inflow events, thereby sustaining an ecologi- ize these waters. cally important N cycle function under dynamic Future studies may investigate how nitrification is conditions. potentially initiated in sulfidic water after oxygen In line with that, our sulfide-spiking experiment spikes or ventilation. Sulfidic pulses may act as a showed that nitrification activities in Baltic Sea ‘switch’ by pausing nitrification and stimulating redox gradients, dominated by Thaumarchaeota, are denitrification—after reoxygenation, nitrification not completely terminated at in situ-like concentra- may quickly restart again. Such process fluctuations tions of hydrogen sulfide (Table 1), consistent with and the coupling between nitrification and denitri- the observation from water-column profiles that fication could be a major force that drives N removal nitrification is still active at low sulfide concentra- in the Baltic and may represent an intriguing tions (o4 mmol l À 1) (Supplementary Table S1 and mechanism involved in ecosystem functioning. Hietanen et al., 2012). Recovery of nitrification after It is furthermore worthwhile to study whether spiking with time was indicated (Table 1) but longer Thaumarchaeota in other oxygen-depleted systems time intervals between sulfide spike and nitrifica- respond similarly to sulfidic mixing. The role of tion measurement may show a significant recovery. Thaumarchaeota in sulfidic habitats is not exten- Added sulfide persisted up to 24 h (Supplementary sively clarified at present and asks for elucidation of Figure S5), impairing microbial activities directly the physiological mechanisms that allow for toler- at addition, and then declined during the incuba- ance of these conditions. tion, most likely as a result of biotic oxidation by denitrifiers (Grote et al., 2008) rather than chemical. Sulfide-oxidizing chemolithoautotrophic Conclusions denitrifiers of the Sulfurimonas sp. subgroup GD17 comprise stable (Grote et al., 2007; Labrenz Nitrification in Baltic Sea redox gradients et al., 2007) and active (Grote et al., 2008; Glaubitz was detected as a persistent process together et al., 2009) populations in Baltic Sea redox with the presence of Thaumarchaeota. The gradients and were stimulated during incubation correlation between potential nitrification rates

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1329 and thaumarchaeotal abundance and the results of Alves RJE, Wanek W, Zappe A, Richter A, Svenning MM, our inhibition experiments support the conclusion Schleper C et al. (2013). Nitrification rates in that AOA are the main drivers of this process. In a Arctic are associated with functionally distinct sulfide-spiking experiment with environmental populations of ammonia-oxidizing archaea. ISME J 7: samples, nitrification proved to be robust against 1620–1631. lower in situ-like sulfide concentrations, as would Amano-Sato C, Akiyama S, Uchida M, Shimada K, Utsumi M. (2013). Archaeal distribution and abun- occur upon mixing with sulfidic waters. Our study dance in water masses of the Arctic Ocean, Pacific emphasizes the role of Thaumarchaeota for N sector. Aquat Microb Ecol 69: 101–112. cycling in the Baltic Sea and shows that the supply Auguet J-C, Triado´-Margarit X, Nomokonova N, of oxidized N compounds from aerobic ammonium Camarero LL, Casamayor EO, Triado-Margarit X. oxidation is mainly dependent on Thaumarchaeota (2012). Vertical segregation and phylogenetic that, in the Baltic Sea, are represented by one characterization of ammonia-oxidizing Archaea in a abundant phylogenetic group. Our results suggest deep oligotrophic lake. ISME J 6: 1786–1797. that the dominance and high abundance of AOA in Baker BJ, Lesniewski RA, Dick GJ. (2012). Genome- this ecosystem result from a tolerance of the cells to enabled transcriptomics reveals archaeal populations periodic exposures to sulfidic waters and the close that drive nitrification in a deep-sea hydrothermal plume. ISME J 6: 2269–2279. proximity of the nitrification zone to sulfidic Bauer S. (2003). Structure and function of nitrifying water layers. It appears worthwhile to examine bacterial communities in the eastern Gotland Basin whether this robustness of archaeal nitrification (central Baltic Sea). University of Rostock, Germany. against sulfide can also be detected among other Beman JM, Popp BN, Francis CA. (2008). Molecular and globally distributed AOA or whether it is an biogeochemical evidence for ammonia oxidation exclusive feature of the Baltic Sea thaumarchaeotal by marine Crenarchaeota in the Gulf of California. assemblages. ISME J 2: 429–441. Biller SJ, Mosier AC, Wells GF, Francis CA. (2012). Global biodiversity of aquatic ammonia-oxidizing archaea is partitioned by habitat. Front Microbiol 3: 252. Conflict of Interest De Brabandere L, Thamdrup B, Revsbech NP, Foadi R. The authors declare no conflict of interest. (2012). A critical assessment of the occurrence and extend of oxygen contamination during anaerobic incubations utilizing commercially available vials. Acknowledgements J Microbiol Methods 88: 147–154. Brettar I, Rheinheimer G. (1991). Denitrification in the This study was financed by the German Science Founda- Central Baltic: evidence for H2S-oxidation as motor of tion (DFG) and European Science Foundation (ESF) denitrification at the oxic-anoxic interface. Mar Ecol within the EuroEEFG program and the project Microbial Prog Ser 77: 157–169. Oceanography of ChemolithoAutotrophic planktonic Brochier-Armanet C, Boussau B, Gribaldo S, Forterre P. Communities (MOCA) (JU 367/12-1). BT acknowledges (2008). Mesophilic Crenarchaeota: proposal for a third support from the Danish Research Council for Indepen- archaeal phylum, the Thaumarchaeota. Nat Rev dent Research and the Danish National Research Founda- Microbiol 6: 245–252. tion (DNRF53). Katja Becker, Ines Bartl, Anna Hagenmeier Bruckner CG, Mammitzsch K, Jost G, Wendt J, and Sabine Glaubitz are thanked for their technical Labrenz M, Ju¨ rgens K. (2013). Chemolithoautotrophic assistance during sampling. We thank Luisa Listmann denitrification of epsilonproteobacteria in marine for assistance with enrichment cultures, Carolin Lo¨scher pelagic redox gradients. Environ Microbiol 15: for sharing details on GC7 and Bernd Schneider and 1505–1513. Hildegard Kubsch for DIC measurements. We also thank Caffrey JM, Bano N, Kalanetra K, Hollibaugh JT. (2007). Gu¨ nter Jost, Maren Vo and Claudia Frey for sharing Ammonia oxidation and ammonia-oxidizing bacteria methods, and Phyllis Lam and Jessika Fu¨ ssel, from the and archaea from estuaries with differing histories of Max Planck Institute for Marine Microbiology, for method hypoxia. ISME J 1: 660–662. details in nitrification rate measurements. We thank four Carvajal-Arroyo JM, Sun W, Sierra-Alvarez R, Field JA. anonymous reviewers for their critical comments that (2013). Inhibition of anaerobic ammonium oxidizing significantly improved the manuscript. The professional (anammox) enrichment cultures by substrates, support of the chief scientists Klaus Nagel and Christian metabolites and common wastewater constituents. Stolle and of the captains, crews and scientific teams of Chemosphere 91: 22–27. the research vessels Alkor, Elisabeth-Mann-Borgese and Cline JD. (1969). Spectrophotometric determination of Meteor is highly appreciated. hydrogen sulfide in natural waters. Limnol Oceanogr 14: 454–458. Coolen MJL, Abbas B, van Bleijswijk J, Hopmans EC, Kuypers MMM, Wakeham SG et al. (2007). Putative ammonia-oxidizing Crenarchaeota in suboxic waters References of the Black Sea: a basin-wide ecological study using 16 S ribosomal and functional genes and membrane Agogue´ H, Brink M, Dinasquet J, Herndl GJ. (2008). Major lipids. Environ Microbiol 9: 1001–1016. gradients in putatively nitrifying and non-nitrifying De Corte D, Yokokawa T, Varela MM, Agogue´ H, Herndl GJ. Archaea in the deep North Atlantic. Nature 456: (2009). Spatial distribution of Bacteria and Archaea 788–791. and amoA gene copy numbers throughout the water

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1330 column of the Eastern Mediterranean Sea. ISME J 3: Herndl GJ, Reinthaler T, Teira E, Aken H, Van, Veth C, 147–158. Pernthaler A et al. (2005). Contribution of archaea to Dalsgaard T, De Brabandere L, Hall POJ. (2013). Denitri- total prokaryotic production in the deep atlantic fication in the water column of the central Baltic Sea. ocean. Appl Environ Microbiol 71: 2303–2309. Geochim Cosmochim Acta 106: 247–260. Hietanen S, Ja¨ntti H, Buizert C, Ju¨ rgens K, Labrenz M, Erguder TH, Boon N, Vlaeminck SE, Verstraete W. (2008). Voss M et al. (2012). Hypoxia and nitrogen processing Partial nitrification achieved by pulse sulfide doses in in the Baltic Sea water column. Limnology 57: a sequential batch reactor. Environ Sci Technol 42: 325–337. 8715–8720. Holtappels M, Lavik G, Jensen MM, Kuypers MMM. Feike J, Ju¨ rgens K, Hollibaugh JT, Kru¨ ger S, Jost G, (2011). 15N-labeling experiments to dissect the Labrenz M. (2012). Measuring unbiased metatran- contributions of heterotrophic denitrification and scriptomics in suboxic waters of the central Baltic anammox to nitrogen removal in the OMZ waters of Sea using a new in situ fixation system. ISME J 6: the ocean. Methods Enzymol 486: 223–251. 461–470. Hoppe HG, Gocke K, Kuparinen J. (1990). Effect of H2S on Francis CA, Beman JM, Kuypers MMM. (2007). New heterotrophic substrate uptake, extracellular enzyme processes and players in the : the activity and growth of brackish water bacteria. Mar microbial ecology of anaerobic and archaeal ammonia Ecol Prog Ser 64: 157–167. oxidation. ISME J 1: 19–27. Horak REA, Qin W, Schauer AJ, Armbrust EV, Ingalls AE, Francis CA, Roberts KJ, Beman JM, Santoro AE, Moffett JW et al. (2013). Ammonia oxidation kinetics Oakley BB. (2005). Ubiquity and diversity of and temperature sensitivity of a natural marine ammonia-oxidizing archaea in water columns and community dominated by Archaea. ISME J 7: sediments of the ocean. Proc Natl Acad Sci USA 102: 2023–2033. 14683–14688. Ingalls AE, Shah SR, Hansman RL, Aluwihare LI, Friedrich J, Janssen F, Aleynik D, Bange HW, Santos GM, Druffel ERM et al. (2006). Quantifying Boltacheva N, C¸ag˘atay MN et al. (2014). Investigating archaeal community autotrophy in the mesopelagic hypoxia in aquatic environments: diverse approaches ocean using natural radiocarbon. Proc Natl Acad Sci to addressing a complex phenomenon. Biogeosciences USA 103: 6442–6447. 11: 1215–1259. Jansson BP, Malandrin L, Johansson HE. (2000). Cell cycle Fuchsman CA, Murray JW, Staley JT. (2012). Stimulation arrest in archaea by the hypusination inhibitor of autotrophic denitrification by intrusions of the N(1)-guanyl-1,7-diaminoheptane. J Bacteriol 182: bosporus plume into the anoxic black sea. Front 1158–1161. Microbiol 3: 257. Jin R-C, Yang G-F, Yu J-J, Zheng P. (2012). The inhibition of Fu¨ ssel J, Lam P, Lavik G, Jensen MM, Holtappels M, the Anammox process: a review. Chem Eng J 197: Gu¨ nter M et al. (2011). Nitrite oxidation in the 67–79. Namibian oxygen minimum zone. ISME J 6: Johnson KM, Wills KD, Butler DB, Johnson WK, Wong CS. 1200–1209. (1993). Coulometric total analysis for Glaubitz S, Kielich K, Meeske C, Labrenz M, Ju¨ rgens K. marine studies: maximizing the performance of an (2013). SUP05 dominates the gammaproteobacterial automated gas extraction system and coulometric sulfur oxidizer assemblages in pelagic redoxclines of detector. Mar Chem 44: 167–187. the central Baltic and Black . Appl Environ Jones MN. (1984). Nitrate reduction by shaking with Microbiol 79: 2767–2776. cadmium: alternative to cadmium columns. Water Res Glaubitz S, Lueders T, Abraham W-R, Jost G, Ju¨ rgens K, 18: 643–646. Labrenz M. (2009). 13C-isotope analyses reveal Jost G, Martens-Habbena W, Pollehne F, Schnetger B, that chemolithoautotrophic Gamma- and Epsilonpro- Labrenz M. (2010). Anaerobic sulfur oxidation in the teobacteria feed a microbial food web in a pelagic absence of nitrate dominates microbial chemo- redoxcline of the central Baltic Sea. Environ Microbiol autotrophy beneath the pelagic chemocline of the 11: 326–337. eastern Gotland Basin, Baltic Sea. FEMS Microbiol Grasshoff K, Ehrhardt M, Kremling K. (1983). Methods of Ecol 71: 226–236. Seawater Analysis. Verlag Chemie (VCH): Weinheim. Jost G, Zubkov MV, Yakushev E, Labrenz M, Ju¨ rgens K. Grote J, Jost G, Labrenz M, Herndl GJ, Ju¨ rgens K. (2008). (2008). High abundance and dark CO2 fixation Epsilonproteobacteria represent the major portion of of chemolithoautotrophic prokaryotes in anoxic chemoautotrophic bacteria in sulfidic waters of pela- waters of the Baltic Sea. Limnol Oceanogr 53: gic redoxclines of the Baltic and Black Seas. Appl 14–22. Environ Microbiol 74: 7546–7551. Joye SB, Hollibaugh JT. (1995). Influence of sulfide Grote J, Labrenz M, Pfeiffer B, Jost G, Ju¨ rgens K. (2007). inhibition of nitrification on nitrogen regeneration in Quantitative distributions of Epsilonproteobacteria sediments. Science (80- ) 270: 623–625. and a Sulfurimonas subgroup in pelagic redoxclines Ko¨nneke M, Bernhard AE, de la Torre JR, Walker CB, of the central Baltic Sea. Appl Environ Microbiol 73: Waterbury JB, Stahl DA. (2005). Isolation of 7155–7161. an autotrophic ammonia-oxidizing marine archaeon. Hammer Ø, Harper DAT, Ryan PD. (2001). PAST: Paleon- Nature 437: 543–546. tological statistics software package for education and Kuzmina N, Rudels B, Stipa T, Zhurbas V. (2005). data analysis. Palaeontol Electron 4:4. The structure and driving mechanisms of the Baltic Hannig M, Lavik G, Kuypers MMM, Woebken D, intrusions. J Phys Oceanogr 35: 1120–1137. Martens-Habbena W, Ju¨ rgens K. (2007). Shift from Labrenz M, Jost G, Ju¨ rgens K. (2007). Distribution of denitrification to anammox after inflow events abundant prokaryotic organisms in the water column in the central Baltic Sea. Limnol Oceanogr 52: of the central Baltic Sea with an oxic – anoxic 1336–1345. interface. Aquat Microb Ecol 46: 177–190.

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1331 Labrenz M, Sintes E, Toetzke F, Zumsteg A, Herndl GJ, bacteria in an agricultural . Proc Natl Acad Sci Seidler M et al. (2010). Relevance of a crenarchaeotal USA 108: 4170–4175. subcluster related to Candidatus Nitrosopumilus Rotthauwe JH, Witzel KP, Liesack W. (1997). The ammonia maritimus to ammonia oxidation in the suboxic zone monooxygenase structural gene amoA as a functional of the central Baltic Sea. ISME J 4: 1496–1508. marker: molecular fine-scale analysis of natural Lam P, Jensen MM, Lavik G, McGinnis DF, Mu¨ ller B, ammonia-oxidizing populations. Appl Environ Schubert CJ et al. (2007). Linking crenarchaeal and Microbiol 63: 4704–4712. bacterial nitrification to anammox in the Black Sea. Sauder LA, Engel K, Stearns JC, Masella AP, Pawliszyn R, Proc Natl Acad Sci USA 104: 7104–7109. Neufeld JD. (2011). nitrification revisited: Lam P, Kuypers MMM. (2011). Microbial nitrogen cycling Thaumarchaeota are the dominant ammonia processes in oxygen minimum zones. Ann Rev Mar Sci oxidizers in freshwater aquarium biofilters. PLoS 3: 317–345. One 6: e23281. Lavik G, Stu¨ hrmann T, Bru¨ chert V, Van der Plas A, Schleper C. (2010). Ammonia oxidation: different niches Mohrholz V, Lam P et al. (2009). Detoxification of for bacteria and archaea? ISME J 4: 1092–1094. sulphidic African shelf waters by blooming chemo- Schneider B, Nausch G, Pohl C. (2010). Mineralization of lithotrophs. Nature 457: 581–584. organic matter and nitrogen transformations in the Lesniewski RA, Jain S, Anantharaman K, Schloss PD, Gotland Sea deep water. Mar Chem 119: 153–161. Dick GJ. (2012). The metatranscriptome of a Schunck H, Lavik G, Desai DK, Grokopf T, Kalvelage T, deep-sea hydrothermal plume is dominated by water Contreras S et al. (2013). Giant hydrogen sulfide column and lithotrophs. ISME J 6: plume in the oxygen minimum zone off Peru supports 2257–2268. chemolithoautotrophy. PLoS One 8: e68661. Lin X, Wakeham SG, Putnam IF, Astor YM, Scranton MI, Sears K, Alleman JE, Barnard JL, Oleszkiewicz JA. (2004). Chistoserdov AY et al. (2006). Comparison of vertical Impacts of reduced sulfur components on active and distributions of prokaryotic assemblages in the Anoxic resting ammonia oxidizers. J Ind Microbiol Biotechnol Cariaco Basin and Black Sea by use of fluorescence 31: 369–378. in situ hybridization. Appl Environ Microbiol 72: Spang A, Hatzenpichler R, Brochier-Armanet C, Rattei T, 2679–2690. Tischler P, Spieck E et al. (2010). Distinct gene Lomas MW, Lipschultz F. (2006). Forming the primary set in two different lineages of ammonia-oxidizing nitrite maximum: nitrifiers or phytoplankton? Limnol archaea supports the phylum Thaumarchaeota. Trends Oceanogr 51: 2453–2467. Microbiol 18: 331–340. Lo¨scher CR, Kock A, Ko¨nneke M, LaRoche J, Bange HW, Stewart FJ, Ulloa O, Delong EF. (2012). Microbial Schmitz RA. (2012). Production of oceanic nitrous metatranscriptomics in a permanent marine oxygen oxide by ammonia-oxidizing archaea. Biogeosciences minimum zone. Environ Microbiol 14: 23–40. 9: 2419–2429. Thamdrup B, Dalsgaard T. (2000). The fate of ammonium Middelburg JJ. (2011). Chemoautotrophy in the ocean. in anoxic manganese oxide-rich marine sediment. Geophys Res Lett 38: 94–97. Geochim Cosmochim Acta 64: 4157–4164. Mincer TJ, Church MJ, Taylor LT, Preston C, Karl DM, Tijhuis L, Van Loosdrecht MC, Heijnen JJ. (1993). DeLong EF. (2007). Quantitative distribution of A thermodynamically based correlation for maintenance presumptive archaeal and bacterial nitrifiers in gibbs energy requirements in aerobic and anaerobic Monterey Bay and the North Pacific Subtropical Gyre. chemotrophic growth. Biotechnol Bioeng 42: 509–519. Environ Microbiol 9: 1162–1175. Treusch AH, Leininger S, Kletzin A, Schuster SC, Musat N, Halm H, Winterholler B, Hoppe P, Peduzzi S, Klenk H-P, Schleper C. (2005). Novel genes for nitrite Hillion F et al. (2008). A single-cell view on the reductase and Amo-related proteins indicate a role of ecophysiology of anaerobic phototrophic bacteria. uncultivated mesophilic crenarchaeota in nitrogen Proc Natl Acad Sci USA 105: 17861–17866. cycling. Environ Microbiol 7: 1985–1995. Mumann M, Brito I, Pitcher A, Sinninghe Damste JS, Ulloa O, Canfield DE, DeLong EF, Letelier RM, Stewart FJ. Hatzenpichler R, Richter A et al. (2011). (2012). Microbial oceanography of anoxic oxygen Thaumarchaeotes abundant in refinery nitrifying minimum zones. Proc Natl Acad Sci USA 109: sludges express amoA but are not obligate auto- 15996–16003. trophic ammonia oxidizers. Proc Natl Acad Sci USA Venter JC, Remington K, Heidelberg JF, Halpern AL, 108: 1–6. Rusch D, Eisen JA et al. (2004). Sequencing of the Newell SE, Fawcett SE, Ward BB. (2013). Depth distribu- Sargasso Sea. Science 304: 66–74. tion of ammonia oxidation rates and ammonia-oxidi- Voss M, Dippner JW, Humborg C, Hu¨ rdler J, Korth F, zer community composition in the Sargasso Sea. Neumann T et al. (2011). History and scenarios of Limnol Oceanogr 58: 1491–1500. future development of Baltic Sea . Offre P, Spang A, Schleper C. (2013). Archaea in Estuar Coast Shelf Sci 92: 307–322. biogeochemical cycles. Annu Rev Microbiol 67: Ward BB, Kilpatrick KA. (1991). Nitrogen transformations 437–457. in the oxic layer of permanent anoxic basins: the Park MH, Wolff EC, Lee YB, Folk JE. (1994). Antiproli- Black Sea and the Cariaco Trench. I˙zdar E, Murray JW ferative effects of inhibitors of deoxyhypusine (eds). In: Black Sea Oceanography. Springer: Dordrecht, synthase. J Biol Chem 269: 27827–27832. Netherlands, pp 111–124. Pernthaler A, Pernthaler J, Amann R. (2002). Fluorescence Wieczorek G, Hagen E, Umlauf L. (2008). Eastern Gotland in situ hybridization and catalyzed reporter deposi- Basin case study of thermal variability in the wake of tion for the identification of marine bacteria. Appl deep water intrusions. J Mar Syst 74: S65–S79. Environ Microbiol 68: 3094–3101. Wuchter C, Abbas B, Coolen MJL, Herfort L, van Bleijswijk Pratscher J, Dumont MG, Conrad R. (2011). Ammonia J, Timmers P et al. (2006). Archaeal nitrification in the oxidation coupled to CO2 fixation by archaea and ocean. Proc Natl Acad Sci USA 103: 12317–12322.

The ISME Journal Nitrification and Thaumarchaeota in the Baltic Sea C Berg et al 1332 Yakimov MM, Cono V, La, Smedile F, DeLuca TH, Archaea and Bacteria throughout the water column Jua´rez S, Ciordia S et al. (2011). Contribution of of the eastern Atlantic using metabolic inhibitors. crenarchaeal autotrophic ammonia oxidizers to the Aquat Microb Ecol 66: 247–256. dark primary production in Tyrrhenian deep waters Zhang L-M, Offre PR, He J-Z, Verhamme DT, Nicol GW, (Central Mediterranean Sea). ISME J 5: 945–961. Prosser JI. (2010). Autotrophic ammonia oxidation by Yokokawa T, Sintes E, De Corte D, Olbrich K, Herndl GJ. soil thaumarchaea. Proc Natl Acad Sci USA 107: (2012). Differentiating leucine incorporation of 17240–17245.

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