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The ISME Journal (2010) 4, 1496–1508 & 2010 International Society for Microbial All rights reserved 1751-7362/10 www.nature.com/ismej ORIGINAL ARTICLE Relevance of a crenarchaeotal subcluster related to Candidatus maritimus to oxidation in the suboxic zone of the central Baltic Sea

Matthias Labrenz1, Eva Sintes2,3, Falko Toetzke1, Anita Zumsteg1,4, Gerhard J Herndl2,3, Marleen Seidler1 and Klaus Ju¨ rgens1 1IOW—Leibniz Institute for Baltic Sea Research, Department of Biological Oceanography, Warnemuende, Germany; 2Department of Biological Oceanography, Royal Netherlands Institute for Sea Research, Texel, The Netherlands; 3Department of Marine Biology, University of Vienna, Vienna, Austria and 4Eidg. Forschungsanstalt fu¨r Wald, Schnee und Landschaft WSL, Research Unit Soil Sciences, Birmensdorf, Switzerland

Marine pelagic redoxclines are areas of enhanced biogeochemical cycling inhabited by distinct functional groups of prokaryotes. In this study, the diversity and abundance of archaeal and bacterial nitrifying populations throughout a pelagic redoxcline in the central Baltic Sea were examined using a suite of molecular methods. 16S rRNA/rRNA gene as well as bacterial and archaeal amoA mRNA/amoA gene fingerprints and clone libraries revealed that the putative nitrifying assemblages consisted solely of one crenarchaeotal subcluster, named GD2, which was closely related to Candidatus Nitrosopumilus maritimus. Neither distinct differences between transcript- and gene-based fingerprints nor pronounced differences in the crenarchaeotal composition throughout the whole redoxcline were detected. The abundance of this GD2 subgroup, as determined by the oligonucleotide probe Cren537 and the newly developed and more specific probe Cren679 showed that GD2 and total crenarchaeotal cell numbers were nearly identical throughout the redoxcline. The highest GD2 abundance (2.3 105 cells ml1) occurred in the suboxic zone, accounting for around 26% of total prokaryotic cells. Below the chemocline, GD2 abundance was relatively stable (1.5–1.9 105 cells ml1). Archaeal amoA expression was detected only in the putative nitrification zone and formed a narrow band in the suboxic layer, where ammonium, , nitrate, nitrite and phosphate concentrations were below 5 lmol l1. To our knowledge this is the first study to show the dominance of only one crenarchaeotal nitrifying key cluster in a natural habitat. The metabolic properties and survival mechanisms present in this cluster inside and outside the nitrification zone remain to be determined. The ISME Journal (2010) 4, 1496–1508; doi:10.1038/ismej.2010.78; published online 10 June 2010 Subject Category: microbial population and community ecology Keywords: central Baltic Sea; Crenarchaea; amoA gene; pelagic redoxcline

Introduction Stevens, 1998; Neretin et al., 2003), resulting in a vertically stratified redoxcline that is responsible for The Baltic Sea is the world’s second largest brackish a distinct prokaryotic (Rheinheimer basin. The Baltic proper comprises a number of deep et al., 1989; Labrenz et al., 2007). For example, high areas, of which the Gotland Deep is the largest. dark CO2 fixation is consistently found in the upper These areas are characterized by periodically anoxic sulfidic layer (Jost et al., 2010) and is driven conditions in their bottom waters. A stable mainly by chemolithoautotrophic Epsilonproteobac- below 50–60 m separates the water column into an teria (Grote et al., 2008; Glaubitz et al., 2009). At the upper oxygenated layer and an underlying oxygen- interface between nitrate and reduced sulfur com- deficient and anoxic/sulfidic layer (Lepland and pounds, Epsilonproteobacteria are also responsible for chemoautotrophic denitrification (Labrenz et al., Correspondence: M Labrenz, Leibniz-Institut fu¨ r Ostseeforschung 2005; Brettar et al., 2006), which represents prob- Warnemu¨nde (IOW), Seestrasse 15, 18119 Rostock-Warnemu¨nde, ably the most important N loss process in the central Germany. Baltic Sea (Hannig et al., 2007). If the accordant E-mail: [email protected] Received 10 February 2010; revised 3 May 2010; accepted 4 May nitrate is not laterally introduced, then it must be 2010; published online 10 June 2010 produced by nitrification. Ammonia-oxidizing in the central Baltic Sea M Labrenz et al 1497 Studying the oxic–anoxic interface of the Gotland Crenarchaeota or nitrifying bacteria (Wakeham Deep from 1998 to 2000, Bauer (2003) determined et al., 2007; Schubotz et al., 2009). þ 1 1 mean nitrification rates of 202 nmol NH4 L d .In In principle, pelagic redoxclines of the central that study, based on 16S rRNA as well as bacterial Baltic Sea are physicochemically comparable to ammonia monooxygenase (amoA, the key enzyme in those of the , as these specific habitats aerobic ammonia-oxidizing bacteria) gene analyses, share several important microbial organisms only Betaproteobacteria phylogenetically related to involved in the C-, N- and S-cycle (Labrenz et al., Nitrosomonas or Nitrosospira could be identified as 2007). However, in contrast to the Black Sea, central putative nitrifying organisms. However, the highest Baltic Sea redoxclines are irregularly oxygenated cell numbers determined by fluorescence in situ after inflow events of saline- and oxygen-rich North hybridization (FISH) corresponded to only 0.6–3.9% Sea water (Reissmann et al., 2009), albeit eventually of total prokaryotic cell counts. In fact, until recently becoming re-established. Additional disturbances nitrification was thought to be exclusively a include small-scale turbulence, which can produce bacterial feature, but an amoA-like gene has been local mixing events (Lass et al., 2003). Thus, the detected on an insert in a fosmid clone library from extended suboxic zones characteristic of the Black soil also carrying a crenarchaeotal 16S rRNA gene, Sea (Yakushev et al., 2008) are absent in Baltic thus demonstrating the nitrifying potential of non- redoxclines. Nevertheless, 16S rRNA fingerprinting thermophilic Crenarchaeota for the first time analyses has indicated that MGI Crenarchaeota are (Schleper et al., 2005; Treusch et al., 2005). In also prominent in suboxic zones of the central Baltic parallel, amoA genes on a presumptive archaeal Sea (Labrenz et al., 2007). metagenome fragment from the Sargasso Sea study The main objective of this study was to assess the were detected (Venter et al., 2004), and later on also diversity and abundance of nitrifying assemblages in the marine sponge symbiont Cenarchaeum throughout a central Baltic Sea redoxcline. Although symbiosum (Hallam et al., 2006). The only free- amoA gene and transcript analyses failed to provide living cultivated representative of the marine pela- evidence of bacterial ammonium-oxidizing capaci- gic Crenarchaeota is still C. Nitrosopumilus ties, one highly abundant nitrifying member of the maritimus, which is known to be able to oxidize MGI Crenarchaeota was instead detected. ammonium aerobically to nitrite (Ko¨nneke et al., 2005; Martens-Habbena et al., 2009). Phylogeneti- cally, C. N. maritimus is a member of marine group I Materials and methods (MGI) (Schleper et al., 2005). MGI Crenarchaeota The complete Materials & Methods part is given as are widely distributed throughout the mesopelagic Supplementary information. , reaching cell abundances accounting for up to 30% of the oceanic picoplankton (Massana et al., 2000; Karner et al., 2001; Church et al., 2009). While Sampling a considerable fraction of the MGI was suggested to Water samples were obtained from the central Baltic be autotrophic (Herndl et al., 2005; Ingalls et al., Sea onboard the RV Maria S. Merian in February 2006), MICRO-CARD-FISH (Herndl et al., 2005; 2006 (Baltic Sea monitoring station 271, Figure 1). Teira et al., 2006) and archaeal amoA analyses Samples from different depths around the chemo- (Agogue´ et al., 2008; De Corte et al., 2008) demon- cline, defined as the uppermost presence of sulfide, strated that members of this group are not restricted were collected in free-flow bottles attached to a to an autotrophic lifestyle. In any case, it is likely conductivity, and depth-rosette. that non-thermophilic Crenarchaeota have a signifi- cant role in the global nitrogen cycle (Francis et al., 2005; Wuchter et al., 2006; Erguder et al., 2009). Physicochemical structure of the water column Recently, the relevance of nitrifying Crenarchaeo- Chemical profiles of oxygen, hydrogen sulfide, ta and Bacteria was also shown for the suboxic ammonia, phosphate, nitrite and nitrate were deter- zones of Black Sea redoxclines. Applying gene mined as described elsewhere (Grasshoff et al., 1983). abundance and expression analyses, reaction- diffusion modeling, and 15N incubation experiments, Lam et al. (2007) identified ammonium-oxidizing Bacterioplankton sampling Crenarchaeota as well as gammaproteobacterial For catalyzed reporter deposition fluorescence ammonia-oxidizing bacteria as important nitrifiers in situ hybridization (CARD-FISH), 100 ml of water and proposed that nitrification is coupled to samples were directly transferred to glass bottles anammox (anaerobic ammonia oxidation). 16S and fixed with particle-free formaldehyde (2% final rRNA gene analyses by Coolen et al. (2007) iden- concentration) at 4 1C for 2–5 h. Portions of 40–45 ml tified different crenarchaeotal phylotypes through- were filtered onto white polycarbonate membrane out the Black Sea suboxic zone. The importance filters (Millipore GTTP, 0.2-mm pore size, 47-mm of nitrifying organisms, especially in the suboxic diameter, Molsheim, France), which were then zones of Black Sea redoxclines, is also supported rinsed with sterile seawater, air dried and stored at by biomarker analyses indicating the presence of 80 1C until further processing. For nucleic acid

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1498 60.0 extraction, water samples of 1–2 l were filtered onto white Durapore filters (Millipore GVWP, 0.22-mmpore Sweden size, 47-mm diameter) and stored frozen at 80 1C. 59.5

Nucleic acid extraction and complementary DNA 59.0 (cDNA) synthesis RNA and DNA were extracted from filters using an acidic phenol extraction protocol (Weinbauer et al., 58.5 2002). Before RT-PCR, RNA-containing extracts were purified from DNA by incubation with 58.0 DNAse I (DNA-free-Kit, Ambion, Austin, TX, USA or amplification-grade enzyme, Invitrogen Corpora- tion, CA, USA) at 37 1C for 30 min and the RNA 57.5 Station 271 concentrations determined using a NanoDrop ND- 1000 spectrophotometer (NanoDrop Technologies, Latitude [N°] Gotland Wilmington, DE, USA). To retrieve cDNA the 57.0

Latvia iScript cDNA Synthesis-Kit (Bio-Rad Laboratories, Hercules, CA, USA), the Access One-Step-RT-PCR 56.5 kit (Promega, Madison, WI, USA), or Superscript III First-Strand Synthesis supermix (Invitrogen) were used following the protocols of the respective 56.0 manufacturer. In each reverse transcription reaction, RNA samples without or with denaturized reverse transcriptase were used as controls in the PCR. 55.5

16S rRNA/rRNA gene-based diversity analyses 55.0 Single-strand conformation polymorphism (SSCP) 16.0 17.0 18.0 19.0 20.0 21.0 22.0 fingerprinting. Archaeal w036/039-primers (Table 1) Longitude [E°] were used for 16S rcDNA and 16S rRNA gene Figure 1 Map of the central Baltic Sea and position of the amplification in samples obtained from eight different sampling station 271 (57119.20N; 201030E, Gotland Deep). depths throughout the redoxcline (Figure 2). PCR,

Table 1 Primers used in this study

Primers Sequence (50–30) Position Specificity Reference

16S rRNA 1492R GGTTACCTTGTTACGACTT 1492Ra Universal (Lane, 1991) Arch21F TTCCGGTTGATCCYGCCGGA 7Fa (DeLong, 1992) w036 TCCAGGCCCTACGGGG 333Fa Archaea (Leclerc et al., 2001) w039b CTCCCCCGCCAATTCCT 915Ra Archaea (Leclerc et al., 2001)

amoA AOA-amoA-f CTGAYTGGGCYTGGACATC ND Archaea (Coolen et al., 2007) AOA-amoA-r TTCTTCTTTGTTGCCCAGTAc ND Archaea (Coolen et al., 2007) Arch-amoAF STAATGGTCTGGCTTAGACG ND Archaea (Francis et al., 2005) Arch-amoAR GCGGCCATCCATCTGTATGT ND Archaea (Francis et al., 2005) Arch-amoA-for CTGAYTGGGCYTGGACATC ND Archaea (Wuchter et al., 2006) Arch-amoA-rev TTCTTCTTTGTTGCCCAGTA ND Archaea (Wuchter et al., 2006) AmoA-1F GGGGTTTCTACTGGTGGT 332Fd b-proteobacteria (Rotthauwe et al., 1997) AmoA-2R CCCCTCKGSAAAGCCTTCTTC 822Rd b-proteobacteria (Rotthauwe et al., 1997) amoAr NEW CCCCTCBGSAAAVCCTTCTTC ND b-proteobacteria (Hornek et al., 2006) AmoA-3F GGTGAGTGGGYTAACMG 295Fd g-proteobacteria (Purkhold et al., 2000) AmoB-4R GCTAGCCACTTTCTGG 44Re g-proteobacteria (Purkhold et al., 2000)

pGEM-T Easy Vector SP6 ATTTAGGTGACACTATAG Promoter Promega Corporation T7 TAATACGACTCACTATAGGG Promoter Promega Corporation

aEscherichia coli 16S rRNA position. bPhosporylated at the 50 end of the primer. cGC clamp (5-CGCCCGCCGCGCCCCGCGCCCGGCCCGCCGCCCCCGCCCC-30) (Muyzer et al., 1993) attached to the 50 end of the primer. dNitrosomonas europaea amoA gene position. eNitrosococcus oceani amoB gene position; ND, not described.

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1499 µ -1 NO2 [ mol L ] Sampling depths 0.00 0.01 0.02 0.03 0.04 0.05 0.06 b (102 m) b 110 O2 NO3 c c b c 120 Chemocline a c a b c b b c 130 c b c

Depth [m] NO 140 H2S 2 NH4 150 PO4 a b 0182 4 6 8 10 12 14 16 051 2 3 4 µ -1 µ -1 H2S, O2, PO4 [ mol L ] NO3, NH4 [ mol L ]

3 þ Figure 2 Depth profile throughout the water column of the Gotland Deep (station 271) in February 2006. (a)H2S, O2,PO4 ;(b)NH4 , NO2 and NO3 . The dotted line denotes the chemocline. Sampling depths for molecular studies: (a) clone libraries (119, 122, 152 m); (b) SSCP fingerprinting (102, 109, 117, 122, 123, 124, 132, 152 m); (c) DGGE fingerprinting (111, 113, 115, 119, 121, 124, 130, 134 m). consisting of a total of 25 (cDNA) or 35 (DNA) cycles, et al., 2004) and those with a similarity 499% were was done following the method of Leclerc et al. (2001). grouped together. Basic trees were reconstructed Single-stranded DNA was generated and purified and based on related public sequences and generated SSCP analysis was carried out according to Schwieger clones of approximately 1300 nucleotides. These and Tebbe (1998). Individual bands excised from the were reduced to 1284 unambiguously alignable SSCP gels were re-amplified as described by Po¨hler positions using group-specific filters. An evolutionary et al. (2002). PCR products were purified using the -distance dendrogram was constructed using MiniElute kit (Qiagen, Hilden, Germany) according to neighbor-joining (NJ), maximum likelihood (ML) the manufacturer’s protocol and sequenced by Seqlab and maximum parsimony (MP) algorithms. Partial (Go¨ttingen, Germany). SSCP sequences were individually imported using ARB parsimony and group-specific filters. 16S rRNA/rRNA gene clone library construction and RFLP. Archaeal 16S rRNA clone libraries were prepared from genomic DNA or RNA extracts AmoA mRNA/amoA gene-based diversity analyses originating from the suboxic zone, suboxic-sulfidic DGGE fingerprinting. Ten nanograms of DNA or interface, and sulfidic zone (Figure 2). The primer 20 ng of RNA, both originating from eight different systems Arch21F/1492R, w036/1492R and Arch21F/ depths throughout the redoxcline, were used as w039 (Table 1) were used to amplify 16S rRNA for template for the PCR (Figure 2). Seven of these PCR, which was performed as described above. The depths were slightly different from those depths PCR products were purified also as described above used for the 16S rRNA-based analysis, but still from and cloned following the manufacturer’s instruc- the same biogeochemical zone. The method of tions using the pGEM-T-Easy Vector system (Promega) Coolen et al. (2007) was followed, with 25 (cDNA) and competent E. coli JM109 cells. For restriction and 35 (DNA) cycles in the PCR together with the fragment length polymorphism (RFLP) and sequen- archaeal amoA primers ammonia-oxidizing Archaea cing, the inserted fragment was PCR-amplified with (AOA)-amoA-f and AOA-amoA-r (Table 1). DGGE the vector-specific primers T7 and SP6 (Table 1). was performed according to Coolen et al. (2004), The unpurified PCR products were digested with using 9% polyacrylamide gels (ratio of acrylamide restriction enzymes Hin6I and MspI and docu- to bisacrylamide, 37.5:1) submerged in 0.5 TAE 1 1 mented as described previously (Bond et al., 2000). buffer (20 mmol l Tris, 20 mmol l acetic acid, 1 Identical RFLP patterns were grouped and repre- 0.5 mol l EDTA; pH 7.4) at 60 1C. Individual bands sentative cloned fragments sequenced by Seqlab excised from the DGGE gels were re-amplified using using the primers Arch21F, w036, w069 or 1492R. the above described amoA PCR protocol, purified using the MiniElute kit (Qiagen) as described by the Phylogenetic analysis. 16S rRNA/rRNA gene manufacturer, and sequenced by Seqlab. sequences were examined for accuracy using the software SeqMan (DNAstar) and checked for AmoA clone libraries. Archaeal and bacterial chimeras using the Bellerophon program Huber amoA clone libraries were prepared from extracts et al. (2004). Phylogenetic affiliations of the partial containing 10 ng of genomic DNA or 20 ng of RNA sequences were initially estimated with the program originating from the suboxic zone, suboxic-sulfidic BLAST (Altschul et al., 1990). Sequences were interface and sulfidic zone (Figure 2). For PCR, the aligned using the ARB software package (Ludwig primer systems Arch-amoAF and Arch-amoAR

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1500 (archaeal (Table 1; Francis et al., 2005)), AmoA-1F Table 2 Probe sequence, appropriate target sites and correspond- and AmoA-2R (b-proteobacterial (Rotthauwe et al., ing sequences in other Archaea, including reference organisms 1997)), and AmoA-3F and AmoB-4R (g-proteobacterial S-*-Cren-0679-a-A-18 Mismatch Probe 3‘GCCTTC (Purkhold et al., 2000)) were used (Table 1), with a target/reference CTTCCCCATTTT’ Target 5 total of 25 (cDNA) or 30 (DNA) PCR cycles. organisms ‘CGGAAGGAAGGGGUAAAA’ Cloning and sequencing steps were done as described for the 16S rRNA procedure. Uncultured Baltic 0 ------crenarchaeote clone_9 Uncultured Baltic 0 ------Phylogenetic analyses. The procedures were the crenarchaeote same as those described for 16S rRNA. Phylogenetic SSCP_band_4 trees were reconstructed based on sequence infor- Uncultured 0 ------mation from DGGE bands and clones, and related to crenarchaeote MERTZ_2CM_56 public sequences. These were reduced to unambigu- Uncultured archaeon 1 ------U---- ously alignable positions using group-specific CS_R008 filters, resulting in 166 valid characters. An evolu- Uncultured archaeon 1 ---U------tionary-distance dendrogram was constructed using clone BSA14-89m NJ, ML and MP. ‘Candidatus 1 ---U------Nitrosopumilus maritimus’ SCM1 Uncultured 1 ------G--- Gene probe design crenarchaeote Based on the above-described 16S rRNA and rRNA MERTZ_0CM_362 gene clone libraries, a probe directed against Uncultured Baltic 2 ---U------U------crenarchaeote crenarchaeotal cells of the suboxic zone was SSCP_band_3 designed with the PROBE_FUNCTION tool of the ‘Cenarchaeum 2 ---U------U---- ARB package. Probe specificity was validated with symbiosum’ the PROBE_MATCH tool of the ARB package, the ‘Candidatus 5 -CC-G--U-----U---- Nitrosocaldus SILVA database (Pruesse et al., 2007) and BLAST. yellowstonii’ HL72 Horseradish peroxidase (HRP)-labeled probes were Pyrococcus furiosus 7 -CCGG--U-----UG--- synthesized by Biomers (Ulm, Germany). The (DSM3638T) specificity of the newly designed probe S-*-Cren- Halorubrum 9 UCCGG--U---A-UG--- 0679-a-A-18 (Table 2), which was named according lacusprofundi (DSM5036T) to the Oligonucleotide Probe Database nomenclature (Alm et al., 1996), was experimentally tested by The probe was named according to the Oligonucleotide Probe whole-cell hybridization with different archaeal Database nomenclature (Alm et al., 1996) and is abbreviated in the strains. With only one mismatch at the fourth base text as Cren679. position of the gene probe, C. ‘Nitrosopumilus maritimus’ SCM1 served as positive control. With 9 and 7 mismatches, respectively, Halorubrum Teira et al. (2004), but this method was not lacusprofundi (DSM5036T) and Pyrococcus furiosus successful for the Cren537 and Cren679 gene probes. (DSM3638T) served as negative controls (Table 2). Therefore, the crenarchaeotal cell wall was permea- All strains were cultivated following the recommen- bilized and the subsequent steps carried out as dations of the DSMZ (Braunschweig, Germany). described by Sekar et al. (2003). Specifically, filter sections were washed in pre-warmed washing buffer and the tyramide signal was amplified with Cellular abundances 5-(and 6-) carboxyfluorescein-labeled tyramides. The Total cell numbers were determined by flow cyto- preparations were counterstained with a previously metric analyses as described previously (Labrenz described mixture of 40,60-diamidino-2-phenylindol et al., 2007). All HRP-labeled probes, appropriate (DAPI), Citifluor and VectaShield (Pernthaler et al., sequences, target sites and hybridization conditions 2002). Stained filter sections were examined with an used in this study are described in Table 1 of the epifluorescence microscope (Axioskop 2 mot plus, Supplementary information. Non-specific binding Zeiss) as described previously (Grote et al., 2007). was determined using the NonEUB probe. By Ratios of gene probe versus DAPI-stained cells varying the formamide concentration, the hybridiza- were determined. Group-specific cell numbers tion conditions for the newly designed probe were calculated by adjusting the ratios to flow cyto- Cren679 were optimized (formamide concentrations metry-based total cell numbers. tested: 0, 15, 20, 25, 30, 35, 50 and 60%). A concentration of 35% formamide in the hybridi- zation buffer was found to be optimal for probe Quantification of amoA gene transcripts by specificity. real-time PCR The euryarchaeotal CARD-FISH enumeration was Quantitative PCR (qPCR) standards were prepared carried out according to the proteinase K protocol of as described by Agogue´ et al. (2008). All qPCR

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1501 analyses were conducted on an iCycler iQ5 thermo- 91 clones were evaluated by RFLP analyses, but cycler (Bio-Rad). Archaeal or b-proteobacterial only one operational taxonomic unit could amoA transcripts were determined in triplicate on be detected for each of the three primer pairs. non-diluted or 1:5 and 1:25 diluted cDNA and RNA Subsequent sequencing of eight representative samples. The methods of Coolen et al. (2006) and clones revealed that these were nearly 100% Agogue´ et al. (2008) were used for the qPCR, identical; thus, clone 9 was chosen as a representa- together with the primers Arch-amoA-for and tive sequence. Phylogenetically, clone 9 belonged Arch-amoA-rev and the primers amoA-1F and to crenarchaeotal MGI, clustering with SSCP amoAr NEW (Table 1). AmoA abundance of the bands 3 and 4 and named Gotland Deep cluster 2 samples were calculated by simultaneously quanti- (GD2 (Figure 4a)). GD2 was 2% distant to fying the standard, prepared as 10-fold serial C. N. maritimus. Euryarchaeotal 16S rRNA clones dilutions ranging from 107 to 101 copies. were not detected. Archaeal amoA transcript and gene DGGE finger- printing revealed eight distinct bands for the whole Nucleotide sequence accession numbers redoxcline (Figure 3b). No distinct differences Sequences were deposited in the GenBank database between amoA transcript and gene fingerprints were under accession numbers GU386315 to GU386337, detected (Figure 3b). Phylogenetically, all amoA and GU455423. sequences were related to C. Nitrosopumilus, but they again formed a distinct cluster (Figure 4b). With the exception of DGGE_band_7, all generated Results DGGE sequences were identical on the amino Physicochemical structure of the redoxcline acid level. Their distances to DGGE_band_7 and The pelagic redoxcline was established from C. Nitrosopumilus amoA were 2 and 3% on the approximately 110 m to 130 m. Sulfide was detect- amino acid and 3 and 8% on the nucleic acid level, able from a depth of 122 m onwards and increased to respectively. 17 mmol l1 at a depth of 150 m (Figures 2a and b). At Of the clones generated by amoA transcript and the chemocline, oxygen was still detectable and was gene clone libraries, 123 were evaluated by RFLP present at concentrations of 3 mmol l1, with an analyses, 9 OTUs identified and 31 representative overlap of O2 and H2S at lower concentrations clones finally sequenced. Comparable to the DGGE measurable at a depth ranging from 122 m to 130 m results, most of the clone sequences were identical (Figure 2a). Phosphate concentrations were gener- or at least highly similar to each other (498.5%). On ally between 2.2 and 3.3 mmol l1; however, at 119 m, the amino acid level, all amoA sequences were they dropped to 1.2 mmol l1 (Figure 2a). Nitrate identical, with clones 14 and 15 chosen as repre- concentrations decreased sharply between 110 and sentative sequences. Phylogenetically, these were 120 m but, together with nitrite, peaked at 122 m. similarly related to C. Nitrosopumilus and grouped Ammonium increased strongly below 120 m, with the amoA sequences generated by DGGE reaching a maximum value of 4.2 mmol l1 at 150 m fingerprinting (Figure 4b). (Figure 2b). b-org-proteobacterial amoA cDNA or genes could not be amplified.

Gene-based diversity Archaeal 16S rRNA/rRNA gene SSCP fingerprinting Gene probe design revealed 10 different and identifiable bands for the The group-specific rRNA-targeting oligonucleo- whole redoxcline. In general, neither distinct differ- tide probe S-*-Cren-0679-a-A-18 (abbreviated as ences between 16S rRNA and 16S rRNA gene Cren679) was designed based on the eight nearly fingerprints nor pronounced differences in the identical full-length crenarchaeotal 16S rRNA archaeal composition throughout the redoxcline clones. Probe details and the number of mismatches were detected for bands of highest relative abun- with cultured organisms or related clone sequences dance (Figure 3a; Supplementary information are presented in Table 2. Cren679 was specific Figure 1A, B). Others, as SSCP bands 7 and 11 or for all generated clones, SSCP_band_4, and, accord- SSCP band 5 were more pronounced in the sulfidic ing to the SILVA database of August 2009, 44 or in the suboxic zone, respectively. Phylogeneti- other members of the GD2 cluster of organisms cally, most of the SSCP bands belonged to the (Figure 4a). Within the target region of Euryarchaeota, with SSCP bands 1, 6, 7, 10, 11 and SSCP_band_3, two mismatches were found; how- 12 representing a predominantly Baltic-Sea-specific ever, it is unclear whether cells corresponding to cluster. SSCP bands 3 and 4 were members of SSCP_band_3 are detectable with Cren679. Despite the crenarchaeotal MGI and closely related to one mismatch with C. N. maritimus SCM1 (Table 2), C. Nitrosopumulus maritimus, but constituting a binding with this strain was recorded at all specific phylogenetic cluster (Figure 4a). formamide concentrations tested, enabling the use From 16S rRNA/rRNA gene clone libraries of SCM1 as a positive control for the optimization based on different archaeal primer combinations, procedure. Taking the C. N. maritimus mismatch

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1502 16S rRNA/rRNA gene 102 m 109 m117 m 122 m 123 m 124 m 132 m 152 m SSCP band SDRDR D R D R S RDR D R D R D S

1 6 3 12 4 10 5

9 7 11

Chemocline

AmoA mRNA/amoA gene 111 m 113 m 115 m 119 m 121 m 124 m 130 m 134 m DGGE band R D R D R D R D R D R D R D R D

1 2 11 3

4 5 6 7

Chemocline

13

Figure 3 Genetic fingerprints of samples covering the pelagic redoxcline. Sequenced bands are labeled by numbers. The phylogenetic affiliation of these bands is presented in Figure 4a and b. (a) Archaeal 16S rRNA/rRNA gene single-strand conformation polymorphism (SSCP); (b) Crenarchaeotal amoA mRNA/amoA gene denaturing gradient gel electrophoresis (DGGE). S, standard; R, cDNA; D, DNA.

into account, gene probe Cren679 matched 838 out Abundance of prokaryotes and specific groups of 1712 MGI sequences included in the SILVA Total prokaryotic cell numbers (TCN) varied database of August 2009, but only one crenarchaeotal between 0.5 and 1.3 106 cells ml1, with the high- sequence (out of 4540) outside this group. Therefore, est numbers reached below the chemocline the specificity of gene probe Cren679 should be (Figure 6a). Bacterial cell numbers followed the described as detecting members of the C. Nitroso- prokaryotic pattern, with 60–80% EUB338-positive pumilus and MGI cluster. In situ, cells detected by cells below the chemocline. Total crenarchaeotal Cren679 showed a peanut-shaped cell morphology cell numbers varied between 0.8 and 2.3 105 (Figure 5), similar to the morphology of C.N. cells ml1, reaching highest numbers 1 m above the maritimus cells (Ko¨nneke et al., 2005). The probe chemocline. In this zone, 25–26% of the TCN were did not hybridize with the negative control strains Cren537-positive. Below the chemocline, crenarch- Pyrococcus furiosus (DSM3638T) and Halorubrum aeotal cells remained relatively stable, with abun- lacusprofundi (DSM5036T). dances of 1.5–1.9 105 cells ml1 that decreased

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1503 Uncultured Baltic archaeon SSCP_band_10 (GU386323) 16S rRNA Uncultured Baltic archaeon SSCP_band_1 (GU386316) Uncultured Baltic archaeon SSCP_band_7 (GU386321) Euryarchaeota Uncultured archaeon clone iBSZ2p.47 (DQ146754) Uncultured Baltic archaeon SSCP_band_12 (GU386325) Uncultured Baltic archaeon SSCP_band_6 (GU386320) Uncultured Baltic archaeon SSCP_band_11 (GU386324) Uncultured crenarchaeote clone EJ_B02 (AY454663) Uncultured archaeon clone MOB4-5 (DQ841225 ) Uncultured archaeon clone CaS1s.03 (EF014534) Uncultured Baltic archaeon SSCP_band_9 (GU386322) Uncultured Baltic archaeon SSCP_band_5 (GU386319) Uncultured archaeon clone Ca303s.37 (EF014624) Ferromonas metallovorans DSM 12658 (AJ224936) Thermoplasma acidophilum 122-1B2 (M38637) Methanosarcina mazeii Strain SarPi (AF028691) Uncultured Baltic crenarchaeote SSCP_band_3 (GU386317) Crenarchaeota Uncultured Baltic crenarchaeote clone_9 (GU386315) Uncultured archaeon CS_R008 (AF419646) Uncultured Baltic crenarchaeote SSCP_band_4 (GU386318) GD2 cluster and relatives Uncultured crenarchaeote MERTZ_2CM_56 (AF424516) Uncultured archaeon clone BSA14-89m (AY360479) MGI “Candidatus Nitrosopumilus maritimus” SCM1 (DQ085097) Uncultured crenarchaeote MERTZ_0CM_362 (AF424523) "Cenarchaeum symbiosum" (U51469) Uncultured crenarchaeote clone ArcC-s_cC08 (EU307035) Uncultured crenarchaeote TRC23-38 (AF227644) “Candidatus Nitrosocaldus yellowstonii” strain HL72 (EU239960) 0.10 0.10

Uncultured Baltic crenarchaeote clone_15 (GU386337) Uncultured Baltic crenarchaeote DGGE_band_3 (GU386328) Uncultured Baltic crenarchaeote DGGE_band_6 (GU386331) amoA Uncultured Baltic crenarchaeote DGGE_band_12 (GU386335) Uncultured crenarchaeote clone UJTO38 (EF534479) Uncultured Baltic crenarchaeote DGGE_band_10 (GU386333) Uncultured Baltic crenarchaeote DGGE_band_4 (GU386329) Uncultured Baltic crenarchaeote DGGE_band_2 (GU386327) Uncultured Baltic crenarchaeote DGGE_band_1 (GU386326) Uncultured Baltic crenarchaeote DGGE_band_5 (GU386330) Uncultured Baltic crenarchaeote DGGE_band_13 (GU455423) Uncultured Baltic crenarchaeote DGGE_band_11 (GU386334) Uncultured Baltic crenarchaeote clone_14 (GU386336) Uncultured archaeon clone LA_amo.14 (EU667428) Uncultured archaeon clone LA_amo.14 (EU667428) Uncultured archaeon clone LC1amo.61 (EU667427) Clone: NR-G3N145 (AB289381) Uncultured crenarchaeote clone Tr_08 (DQ784538) Uncultured crenarchaeote clone ARC20_141 (EU239022) Uncultured ammonia-oxidizing bacterium clone ARC24_76 (EU239077) Uncultured Baltic crenarchaeote DGGE_band_7 (GU386332) Uncultured marine crenarchaeote isolate PCR-amplicon ANTA6 (DQ333422) Uncultured crenarchaeote DGGE band BS_AOA-10 (EF155627 ) Clone: OA-MA-62 (AB373359) Clone: NY-G3N141 (AB289378) Uncultured crenarchaeote clone BS100mB4 (EF414231) Uncultured crenarchaeote clone MESO_11 (DQ784528 ) “Candidatus Nitrosopumilus maritimus” SCM1 (EU239959) Uncultured crenarchaeote clone GOC-C-450-20 (EU340554) Uncultured crenarchaeote clone Tr_20 (DQ784531) “Cenarchaeum symbiosum” (DP000238.1, NS_000189.1, CENSYa_0402) “Candidatus Nitrosocaldus yellowstonii” strain HL72 (EU239961) 0.10

Figure 4 Phylogenetic relationships of representative sequences from the studied redoxcline samples. The evolutionary distance dendrogram was reconstructed using the Jukes-Cantor correction and NJ. Branching points supported by NJ, ML and MP algorithms are marked by a filled circle. Branching points supported by two algorithms are marked by an open circle. (a) Unrooted 16S rRNA sequence- based phylogenetic tree of members of the domain Archaea.(b) Unrooted archaeal amoA mRNA sequence-based phylogenetic tree of members of the Crenarchaeota.

Figure 5 Photomicrographs of DAPI- or CARD-FISH-stained microorganisms from the suboxic zone of the Gotland Deep redoxcline. Bar denotes 20 mm. (a) DAPI-stained cells; (b) Cells from the same microscopic field stained with the gene probe Cren679 exhibit a peanut-shaped morphology.

only slightly in the deeper sulfidic zone. Above distribution (Figure 6a). Euryarchaeota could not the suboxic zone, Cren537 cell numbers declined be detected by CARD-FISH analyses. to less than 1.0 105 cells ml1. Cren679-positive In a second profile of the Gotland Deep obtained cells closely followed the total crenarchaeotal in February 2006, the highest Cren679 abundance of

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1504 Theoretical amoA mRNA Archaeal abundance [105 mL-1] abundance per Cren679 cell 1.0 2.0 3.0 4.0 5.0 6.0 7.0 0.00 0.02 0.04 0.06 0.08

110

120

130

Depth [m] Chemocline 140 Cren- archaeota amoA mRNA abundance 150 Cren679 Bacteria TCN amoA mRNA abundance per cell

0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 01234567 Total cell numbers (TCN) and bacterial amoA mRNA abundance [x103 mL-1] abundance [106 mL-1] Figure 6 Prokaryotic cell numbers and amoA mRNA abundances along the Gotland Deep redoxcline in February 2006. The dashed horizontal line indicates the chemocline. (a) Vertical distribution of total cell numbers (DAPI counts), bacterial abundance, crenarchaeotal, and Cren679 abundance. (b) Vertical distribution of amoA mRNA abundances and theoretical amoA mRNA abundances per Cren679 cell.

2.1 105 cells ml1, accounting for 26% of the TCN, numbers were also detected in the deeper sulfidic was also determined in the suboxic zone, where waters (Figure 6a). Based on maximal archaeal 1 1 concentrations of 4 mmol O2 l and 0.3 mmol H2Sl amoA transcript abundances, archaeal ammonia were measured (data not shown). As in the first oxidation occurred in a narrow suboxic zone close profile, Cren679-positive cells closely followed to the chemocline, where ammonium, oxygen, crenarchaeotal abundance (Cren537-positive cells) nitrate, nitrite and phosphate concentrations were and vertical distribution, whereas Euryarchaeota below 5 mmol l1. The observation that the crenarch- were not detectable (data not shown). aeal assemblage was almost exclusively composed of the GD2 cluster leads to the conclusion that these cells were also responsible for amoA expression. Quantification of amoA transcripts throughout This corroborates results obtained for the isolate the redoxcline C. N. maritimus, identified as an ammonia oxidizer Comparable to the amoA cloning results, no (Ko¨nneke et al., 2005; Martens-Habbena et al., 2009). b-proteobacterial but only archaeal amoA tran- scripts were amplifiable using RT-qPCR primer combinations. The highest number of archaeal Archaeal diversity amoA transcripts (6.5 103 ml1) coincided with According to the results of both 16S rRNA and rRNA the highest number of Cren679-positive cells in the gene SSCP fingerprinting, members of the Euryarch- suboxic zone (Figures 6a and b). Calculation of the aeota and Crenarchaeota were present through- ratios of amoA transcript numbers per Cren679 cell out the pelagic redoxcline (Figures 3a and 4a). showed the highest ratios (0.04) in the suboxic zone Euryarchaeotal diversity was higher than that of and generally following the distribution of number Crenarchaeota, but summing up relative cren- and of transcripts per ml1 (Figure 6b). euryarchaeotal SSCP band areas as an indicator for accordant abundances, these were principally com- parable throughout the redoxcline (Supplementary Discussion information Figure 1c and d). Moreover, potentially most abundant members of both phyla (SSCP bands Taken together, our data set shows that not only the 4 and 9) seemed to be uniformly distributed from the nitrifying community but also the crenarchaeotal suboxic to the sulfidic zone, without pronounced assemblage itself was characterized by an astonish- differences between 16S rRNA and 16S rRNA gene ing low diversity (Figure 4), consisting of only one fingerprints (Figure 3a; Supplementary information crenarchaeotal subcluster (or potentially even a Figure 1a and b). The observed differences between single ), which we named subgroup GD2. eury- and crenarchaeotal diversities in the Baltic Sea Phylogenetically, GD2 is closely related to, but might be a common phenomenon and is consistent clearly separated from, C. Nitrosopumilus mariti- with the findings of other studies, for instance, the mus (Figure 4a). GD2 abundance was highest in the lower diversity of pelagic MGI Crenarchaeota suboxic zone, where it accounted up to 26% of the compared with Euryarchaeota described for the total prokaryotic abundance, but relatively high cell southern North Sea (Herfort et al., 2007). Interestingly,

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1505 most of the euryarchaeotal sequences formed a 26% of the TCN and matching the Cren537-positive nearly Baltic Sea-specific cluster that was at least cell abundance covering most of the known 9% distant from the most similar environmental 16S Crenarchaeota (De Corte et al., 2008, Figure 6a). rRNA sequence clone iBSZ2p.47 (Figure 4a). On the These results were reproduced in a second profile, cellular level, Euryarchaeota were not detectable in which Cren679 contributed up to 26% of the using the Eury806 gene probe. Euryarchaeotal 16S TCN. Considering the C. N. maritimus mismatch rRNA SSCP sequences were divers and showed 0–4 (Table 2), Cren679 matches approximately 45% of mismatches to gene probe Eury806. The most all MGI sequences included in the SILVA database of abundant euryarchaeotal SSCP band 9 (Figure 3a) August 2009. Thus, it potentially covers different holds 1 mismatch at the edge of the probe and members of the MGI Crenarchaeota. Nonetheless, should be detected, but could be below the detection the results of our ribosomal, and functional gene and limit or the cell walls not properly permeabilized by transcript-based diversity analyses were obtained the fixation procedure. Based on the data set of this using several primer, fingerprinting and cloning study the exact cellular euryarchaeotal abundance systems, all of which identified one 16S rRNA and remains unclear; however, most recent metagenomic one amoA cluster, both closely related to C.N. analyses of a comparable Baltic Sea redoxcline maritimus (Figures 4a and b). Also, on the morpho- showed that euryarchaeotal gene abundance was logical level, the specific detection of peanut-shaped below 2% of the total genes (unpublished data), cells (Figure 5) was an indication that C. Nitroso- supporting low euryarchaeotal abundances. This is pumilus relatives are targeted by probe Cren679. in contrast to the redoxclines from the Black Sea and Hence, there is strong evidence that only subcluster the Cariaco Trench, where both Eury- and Crenarch- GD2 was detected by both gene probes, Cren679 and aeota were present in considerable numbers Cren537 (Figure 6a). Taken together, these data point (Lin et al., 2006). to the high likelihood that: (1) the crenarchaeotal Only crenarchaeotal sequences were generated in assemblages consist only of one phylotype, named the 16S rRNA/rRNA gene clone libraries but they GD2, which dominates the archaeal community were also detected in the SSCP fingerprints. The throughout the entire redoxcline, (2) the detected lack of euryarchaeotal clones is probably due to the amoA gene cluster belongs to this group and, lower coverage of the primer combinations used. For consequently, (3) GD2 is a nitrifying Crenarchaeota. instance, according to the SILVA database of August 2009 Arch21F matches only 1176 out of 10936 sequences, in comparison with 5443 matches of the Nitrification zone w036 SSCP forward primer. All gained crenarch- Higher nitrite concentrations combined with lower aeotal sequences clustered together and, with the oxygen or ammonium concentrations are indicative exception of the partial sequence SSCP_band_3 of a nitrification zone in pelagic redoxclines. In our (98% sequence similarity), were 499% similar to study, these conditions were fulfilled for a narrow each other. Assuming that 16S rRNA sequence zone ranging from a depth of 120 m to 122 m just similarities above 98.7–99% indicate an affiliation above the chemocline (Figures 2a and b). This area with a single species (Stackebrandt and Ebers, was designated as the nitrification zone because it 2006), then nearly all of the Baltic crenarchaeotal contained the maximal number of archaeal amoA 16S rRNA sequences could have arisen from one transcripts (Figure 6b). Analogously, archaeal amoA species. Archaeal amoA gene and transcript diver- expression in Black Sea redoxclines is confined to a sities supported the 16S rRNA analyses: the amoA narrow nitrification zone with low oxygen and sequences were also related to C. Nitrosopumilus ammonium concentrations and high crenarchaeotal (Figure 4b) and, with the exception of DGGE_ amoA expression (Lam et al., 2007). Interestingly, band_7, all of the generated DGGE sequences were the highest ratio of amoA transcript numbers per identical on the amino acid level. However, with a cell was in the nitrification zone (Figure 6b), but the 16S rRNA distance of 2% and a phylogenetic value of 0.04 is, overall, lower than what might be separation supported by NJ, MP and ML algorithms expected. The rates of transcriptional regulation or (Figure 4a), the relationship to C. N. maritimus amoA mRNA synthesis with respect to degradation remains unexplained. Interestingly, the Baltic 16S are unknown for Cren679 cells, and absolute rRNA sequences cluster together with sequences transcript numbers do not necessarily reflect their reported by Vetriani et al. (2003) (Figure 4a). Those physiological state (Lam et al., 2007). However, we sequences were obtained from comparable physico- developed a new sampling device for deeper chemical conditions in the Black Sea, supporting redoxcline waters, which is based on in situ fixation recent observations that marine pelagic redoxclines of water samples, and most recent analyses showed share similar microbial key organisms (Labrenz that amoA transcript numbers are approximately 20 et al., 2007). times higher when this system is used (unpublished Subcluster GD2 was quantified by CARD-FISH data). Transferring these data to our study, absolute analyses. The highest cell numbers (2.3 105 amoA transcript abundances per cell should by cells ml1) detected by the newly developed probe around 1 (assuming 100% active cells) to 4 (20% Cren679 were in the suboxic zone, accounting up to active cells) in the nitrification zone. This is in the

The ISME Journal Ammonia-oxidizing Crenarchaeota in the central Baltic Sea M Labrenz et al 1506 range what could be expected for a population Acknowledgements actively oxidizing ammonia. It is not surprising that archaeal amoA abun- We are grateful to the captain and crew of RV ‘Maria S. dances were substantially lower in the sulfidic zone, Merian’. The excellent technical assistance of Christian Meeske, Heike Brockmo¨ller, Ba¨rbel Buuk, and Annett which is inadequate for nitrification, than in the Gru¨ ttmu¨ ller is greatly appreciated. Special thanks to chemocline. It remains unclear, however, why the Martin Ko¨nneke for providing cells of ‘C. Nitrosopumilus abundance of the GD2 subcluster is still high below maritimus’. ML was supported by the Deutsche the putative nitrification zone. This may be due to Forschungsgemeinschaft (DFG), project number LA distribution processes (for example, sinking, mixing 1466/4-1,4-2, and ES, and GJH by the Dutch Science Fund events) or to other metabolic pathways that enable a (NWO-ALW), project number 835.20.023. broad vertical distribution of the GD2 subgroup.

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