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. 2014 Feb 5;5:31. doi: 10.3389/fmicb.2014.00031

Shotgun metagenomic data reveals significant abundance but low diversity of “Candidatus Scalindua” marine anammox bacteria in the Arabian Sea oxygen minimum zone

Laura Villanueva 1, Daan R Speth 2, Theo van Alen 2, Alexander Hoischen 3, Mike S M Jetten 2,4,*
PMCID: PMC3913995  PMID: 24550902

Abstract

Anaerobic ammonium oxidizing (anammox) bacteria are responsible for a significant portion of the loss of fixed nitrogen from the oceans, making them important players in the global nitrogen cycle. To date, marine anammox bacteria found in both water columns and sediments worldwide belong almost exclusively to “Candidatus Scalindua” species. Recently the genome assembly of a marine anammox enrichment culture dominated by “Candidatus Scalindua profunda” became available and can now be used as a template to study metagenome data obtained from various oxygen minimum zones (OMZs). Here, we sequenced genomic DNA from suspended particulate matter recovered at the upper (170 m deep) and center (600 m) area of the OMZ in the Arabian Sea by SOLiD and Ion Torrent technology. The genome of “Candidatus Scalindua profunda” served as a template to collect reads. Based on the mapped reads marine anammox Abundance was estimated to be at least 0.4% in the upper and 1.7% in the center area. Single nucleotide variation (SNV) analysis was performed to assess diversity of the “Candidatus Scalindua” populations. Most highly covered were the two diagnostic anammox genes hydrazine synthase (scal_01318c, hzsA) and hydrazine dehydrogenase (scal_03295, hdh), while other genes involved in anammox metabolism (narGH, nirS, amtB, focA, and ACS) had a lower coverage but could still be assembled and analyzed. The results show that “Candidatus Scalindua” is abundantly present in the Arabian Sea OMZ, but that the diversity within the ecosystem is relatively low.

Keywords: nitrogen cycle, anaerobic ammonium oxidation, metagenome, hydrazine, marine anammox

Introduction

Anaerobic ammonium oxidation (anammox) is mediated by a specialized group of bacteria that have many unique properties including the synthesis of ladderane lipids (Damsté et al., 2002), the presence of a prokaryotic cell organelle (van Niftrik and Jetten, 2012), and a metabolism using reactive intermediates hydrazine and nitric oxide (Kartal et al., 2011, 2013). Most anammox bacterial cultures have been enriched from wastewater treatment environments, and therefore much of anammox research is directed toward application of these bacteria in sustainable man-made treatment systems (Kartal et al., 2010). In addition, it has become clear that anammox bacteria contribute significantly to the loss of fixed nitrogen from both marine and terrestrial ecosystems (Kuypers et al., 2003, 2005; Zhu et al., 2013).

To date, at least five genera of anammox bacteria have been enriched and described, and these form a monophyletic order of the Brocadiales that branches deeply in the phylum Planctomycetes (Jetten et al., 2010). The deepest branching anammox genus, “Candidatus Scalindua” (hereafter referred to as Scalindua), is found in all marine environments investigated worldwide (Schmid et al., 2007; van de Vossenberg et al., 2008; Woebken et al., 2008; Hong et al., 2011; Dang et al., 2013). Scalindua bacteria may interact with both thaumarchaeotal and bacterial ammonium-oxidizing microbes under oxygen limitation (Lam et al., 2009; Yan et al., 2012) for their nitrite supply. For most of the anammox genera, draft genome assemblies are available (Strous et al., 2006; Gori et al., 2011; Hira et al., 2012; Hu et al., 2012; Speth et al., 2012; van de Vossenberg et al., 2012).

First studies on anammox bacteria diversity based on 16S rRNA gene sequences in suboxic waters, as well as marine and freshwater sediments, concluded that all environmental sequences were closely related to the “Candidatus Scalindua” genus and that the diversity was generally low in comparison with other systems, such as wastewater treatment plants (Woebken et al., 2007; Hu et al., 2010). However, another study by Woebken et al. (2008) revealed a significant microdiversity within the Scalindua genus by sequence analyses of 16S rRNA genes and the 16S–23S rRNA internal transcribed spacer. So far 16S rRNA, hydrazine synthase (hzsA), hydrazine dehydrogenase (hdh), and nirS genes have been used to estimate the diversity and abundance of anammox bacteria (Schmid et al., 2005, 2008; Li et al., 2011; Harhangi et al., 2012). The primers used for amplification of anammox 16S rRNA genes are hampered by their lack of specificity (Schmid et al., 2005; Woebken et al., 2008). In the most extreme case only 1 in 480 clones analyzed could be attributed to anammox in a sample from the Black Sea (Woebken et al., 2008). NirS genes seem only be present in the genera Scalindua and Kuenenia genome assemblies, while Planctomycete KSU-1, Jettenia and Brocadia seem to employ a nirK type of nitrite reductase, limiting the use of nirS as biomarker for the detection of anammox bacteria (Gori et al., 2011; Hira et al., 2012; Hu et al., 2012). Hydrazine dehydrogenase genes are present in multiple divergent copies in each anammox genome assembly making their use as phylomarkers at least cumbersome (Schmid et al., 2008). Recently primers for the amplification of hydrazine synthase genes became available (Harhangi et al., 2012), and were shown to be quite specific and sensitive. Nevertheless, PCR primers are never better than the data they are based on and thus primer independent methods to study anammox diversity are highly desirable. Here we used shotgun metagenome data obtained by Next Generation Sequencing (NGS) of DNA from two depths in the Arabian Sea OMZ to retrieve non primer-biased information on the biodiversity of marine anammox bacteria in these ecosystems. The oxygen minimum zone (OMZ) of the Arabian Sea represents a globally important site for oceanic nitrogen loss (Lam and Kuypers, 2011; Pitcher et al., 2011). Its vertical distribution extends from approximately 150–2000 meters below sea level with very low oxygen concentrations, making it one of the most expansive and intense OMZ in the global ocean. Loss of fixed nitrogen from the Arabian Sea OMZ may occur via both denitrification and anammox (Ward et al., 2009; Jensen et al., 2011) although the contribution of each process may vary with season and location.

Earlier work using shotgun metagenomic and metatranscriptomic data has shown that anammox bacteria are abundant and active at the core of the Eastern Tropical South Pacific OMZ off Chile OMZ (Stewart et al., 2012), but likely underestimated anammox abundance due to the absence of a closely related reference sequence. Here, we used the recently available genomic template of “Candidatus Scalindua profunda” (van de Vossenberg et al., 2012) to assess anammox abundance and diversity through 16S rRNA gene reads and the marker genes hydrazine synthase and hydrazine dehydrogenase.

Materials and methods

Sampling and sample preparation

Arabian Sea depth profiles are described in (Pitcher et al., 2011). Large-volumes of seawater (200–1700 L) were filtered through 142-mm diameter 0.2-μm polycarbonate filters (Millipore, Billerica, MA). Filters were cut into fragments prior to extraction. Cells were lysed by bead-beating with 1.5 g of sterile 0.1 mm zirconium beads (Biospec, Bartlesville, OK) in a extraction buffer containing 10 mM Tris-HCl pH 8, 25 mM Na2 EDTA pH 8, 1% (v/v) sodium dodecyl sulfate (SDS), 100 mM NaCl, and molecular biology grade water. Samples were incubated at 70°C for 30 min and then extracted with phenol-chloroform (Sambrook et al., 1989). After extraction, DNA was precipitated using ice-cold ethanol, dried, and re-dissolved in 100 μl of 10 mM Tris-HCl, pH 8. Total nucleic acid concentrations were quantified spectrophotometrically (Nanodrop, Thermo Scientific, Wilmington, DE, USA) and checked by agarose gel electrophoresis for quality. Extracts were kept frozen at −80°C.

Metagenome sequencing

SOLiD library preparation and sequencing

Aliquots of DNA from station PA2 (170 m) and PA5 (600 m) were prepared for SOLiD libraries following manufacturer's instructions (Life Technologies, Carlsbad, CA, USA). In essence 5 μg genomic DNA (gDNA) was used as input material, sheared to ~180 bp fragments, end-repaired, barcoded sequencing adaptors were ligated by blunt-end ligation. Finished libraries were analyzed by Bioanalyzer (Agilent, Santa Clara, CA, USA) and by Qubit (Life Technologies, Carlsbad, CA, USA) prior to use. Four libraries were pooled in equimolar amounts, and E80 ePCR was performed following manufacturer's instructions (Life Technologies, Carlsbad, CA, USA) with 0.7 pM final library concentration. Each E80 library pool consisting of 4 samples was finally sequenced on one SOLiD4 sequencing slide (Table A1). For PA2 one library was prepared while for PA5 two independent libraries were prepared to yield sufficient data, and run on a SOLiD0753. The 50 nt color coded reads were separated according to barcode and analyzed using the CLC genomics workbench (v4.9, CLCbio, Aarhus, Denmark) as described below.

Ion torrent library preparation and sequencing

All kits used in this section were obtained from Life technologies (Life technologies, Carlsbad, CA, USA). For both samples an identical library preparation was performed. Genomic DNA (extraction described above) was sheared for 7 min using the Ion Xpress™ Plus Fragment Library Kit following the manufacturer's instructions. Further library preparation was performed using the Ion Plus Fragment Library Kit following manufacturer's instructions. Size selection of the library was performed using an E-gel 2% agarose gel, resulting in a median fragment size of approximately 330 bp. Emulsion PCR was performed using the Onetouch 200 bp kit and sequencing was performed on an Ion Torrent PGM using the Ion PGM 200 bp sequencing kit and an Ion 318 chip.

Extraction and analysis of reads similar to “candidatus scalindua profunda”

The genome of “Candidatus Scalindua profunda” was used as a template to harvest reads using read mapping as implemented in the CLC genomics workbench. Matching reads (mismatch penalty 2, In/Del penalty 3) and at least 80% identity over 50% of the read length were extracted. Subsequently, the identity of the reads was confirmed with a BLASTx analysis against the “Candidatus Scalindua profunda” proteins, using an E-value cut-off of 1 for SOLiD reads and 1e−4 for IonTorrent reads (Stewart et al., 2012). To assess diversity of “Candidatus Scalindua profunda” in the samples a single nucleotide variation (SNV) analysis was performed on consensus sequences of hydrazine synthase (scal_01317, hzsA) and hydrazine dehydrogenase (scal_03295, hdh) genes using the CLC genomics workbench. Consensus sequences were generated by iterative mapping of the Ion Torrent PA5 reads as described previously (Dutilh et al., 2009), using the CLC genomics workbench read mapper with mismatch penalty 2, In/Del penalty 3 and at least 80% identity over 50% of the mapping reads.

For 16S rRNA gene phylogenetic analysis, reads matching the “Candidatus Scalindua profunda”16S rRNA gene with a positive score (mismatch penalty 2, In/Del penalty 3) and at least 90% identity over 50% of the read length were extracted. These parameters result in an overestimation, thus subsequent phylogenetic assignment is required to remove false positives.

Phylogenetic analysis

The phylogenetic affiliation of the partial bacterial 16S rRNA gene sequences affiliated to the Planctomycetes group were compared to release 111 of the Silva SSU Ref database [http://www.arb-silva.de; (Quast et al., 2012)] using the ARB software package (Ludwig et al., 2004). The partial sequences generated in this study were added to the reference tree supplied by the Silva database using the ARB Parsimony tool. Putative and annotated hzsA gene sequences were translated to protein and aligned by Muscle (Edgar, 2004) in Mega5 software (Tamura et al., 2011) and edited manually. Phylogenetic reconstruction of putative hydrazine synthase proteins was performed by maximum likelihood in PhyML v3.0 (Guindon et al., 2010) using the LG model plus gamma distribution including estimated amino acid frequencies (LG + G + F) indicated by ProtTest 2.4 (Abascal et al., 2005). Branch support was calculated with the approximate likelihood ratio test (aLRT).

Results and discussion

Sampling sites and overview of sequencing results

The Arabian Sea is one of the most expansive and intense OMZ in the global ocean, and presence of anammox bacteria through activity tests and molecular surveys has been documented previously (Jensen et al., 2011; Pitcher et al., 2011) We used gDNA from suspended particulate matter obtained at 170 m (station PA2), at the upper limit of the OMZ, and at 600 m depth (station PA5), at the core of the OMZ, that was collected during a sampling campaign in January 2009 (for details see Pitcher et al., 2011). The gDNA from both stations was subjected to SOLiD and Ion Torrent sequencing (Table 1) yielding 7.8 and 8.6 gigabases of information for station PA2 and PA5 respectively. At the upper station PA2 between 0.4 and 0.9 percent of the reads matched to coding regions of the “Candidatus Scalindua profunda” genome (van de Vossenberg et al., 2012), while at the core OMZ station PA5 between 1.7 and 3.5 percent of the reads matched. The estimated percentage of Scalindua sp. based on the SOLiD reads is probably an overestimate, as BLASTx analysis on the matching reads revealed that about 28% of those reads did not give a hit to a “Candidatus Scalindua profunda” protein (Table A1) using an E-value of 1. The longer Ion Torrent reads gave a more robust estimate, as only 0.3% of the reads did not match to corresponding protein in BLASTx searches using an E-value of 10−4. These abundance estimates are in good agreement with anammox abundance estimates reported for the upper and core regions of the chilean OMZ (Stewart et al., 2012). The total “Candidatus Scalindua profunda” gene coverage in station PA2 and PA5 was 13-fold (using 7.8 gigabases; Table 1) and 57-fold (using 8.6 gigabases; Table 1), respectively. The high number of reads matching “Candidatus Scalindua profunda” genes in the core of the Arabian sea OMZ (station PA5) made analysis of the diversity in 16S rRNA and core genes of the anammox metabolism possible.

Table 1.

Overview Arabian Sea metagenome.

Location Station Sequence technology Total reads Average read length Total Mb Reads matching Scalinduaa Scalindua Mb Genome coverageb Percentage Scalinduac
Arabian Sea OMZ PA2 (170 m) solid bc3 140622908 50 7031 1320669 66.0 12.9 0.9
Arabian Sea OMZ PA2 (170 m) ion torrent 4860488 156 758 31624 2.8 0.5 0.4
Arabian Sea OMZ PA5 (600 m) solid bc1 86734835 50 4337 3066081 153.3 30.1 3.5
Arabian Sea OMZ PA5 (600 m) solid bc2 79446895 50 3972 2772542 138.6 27.2 3.5
Arabian Sea OMZ PA5 (600 m) ion torrent 2588720 131 339 43626 5.7 1.1 1.7
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a

Mapping settings minimum length coverage 50%, minimum identity 80%.

b

Scalindua Mb divided by genome size of Scalindua profunda (5.1 Mb; van de Vossenberg et al., 2012).

c

Mb matching Scalindua profunda divided by total Mb in the sample * 100%.

Presence of core genes of anammox metabolism

On average, the core anammox genes listed in Table 2 had a higher (78.7 fold) coverage than the other genes (57 fold). Most notably hydrazine synthase (hzs) and hydrazine dehydrogenase (hdh) genes were covered up to no less than 155-fold in station PA5, and 35.9-fold in station PA2. Based on their high coverage in station PA5, hzsA and hdh were selected to assess diversity of “Candidatus Scalindua” at the core of the Arabian sea OMZ (see below).

Table 2.

Overview Arabian Sea metagenome data covering selected Scalindua genes.

Name Gene Gene length Gene id Combined bc1 bc2 Station PA5 reads/gene St PA5 coverage Station PA2 reads/gene St PA2 coverage PA2/PA5 ratio PA5/PA2 ratio
Hydrazine synthase BC hzsBC 1930 scal00023 3733 96.7098 1139 29.5078 0.3051 3.2774
Hydrazine synthase A hzsA 2421 scal01318 4525 93.4531 880 18.1743 0.1945 5.1420
Hydrazine dehydrogenase hdh 1587 scal03295 4942 155.7026 1172 36.9250 0.2372 4.2167
Hydroxylamine oxidoreductase hao 1752 scal00421 2474 70.6050 509 14.5263 0.2057 4.8605
Hydroxylamine oxidoreductase hao 1572 scal01317 2508 79.7710 507 16.1260 0.2022 4.9467
Hydroxylamine oxidoreductase hao 1638 scal02110 1503 45.8791 413 12.6068 0.2748 3.6392
Hydroxylamine oxidoreductase hao 1383 scal02116 2006 72.5235 252 9.1106 0.1256 7.9603
Hydroxylamine oxidoreductase hao 1356 scal04133 2605 96.0546 642 23.6726 0.2464 4.0576
Hydroxylamine oxidoreductase hao 1127 scal04164 1622 71.9610 826 36.6460 0.5092 1.9637
Nitrate reductase narG 3498 scal00863 5366 76.7010 1263 18.0532 0.2354 4.2486
Nitrate reductase narH 1281 scal00867 2514 98.1265 477 18.6183 0.1897 5.2704
Nitrate reductase narM 987 scal00868 921 46.6565 284 14.3870 0.3084 3.2430
Nitrate transport protein narK 1290 scal03007 1490 57.7519 519 20.1163 0.3483 2.8709
Nitrite transport protein focA 1113 scal00416 1542 69.2722 299 13.4322 0.1939 5.1572
Nitrite transport protein focA 1086 scal00974 2310 106.3536 283 13.0295 0.1225 8.1625
Nitrite transport protein focA 1128 scal00975 2958 131.1170 268 11.8794 0.0906 11.0373
cd1 nitrite reductase nirS 1698 scal02098 3489 45.4064 396 11.6608 0.2568 3.8939
Ammonium transport protein amtB 1386 scal00587 2569 92.6768 374 13.4921 0.1456 6.8690
Ammonium transport protein amtB 1332 scal00591 1953 73.3108 459 17.2297 0.2350 4.2549
Ammonium transport protein amtB 1365 scal00594 1736 63.5897 476 17.4359 0.2742 3.6471
Ammonium transport protein amtB 1560 scal00596 1397 44.7756 273 8.7500 0.1954 5.1172
Ammonium transport protein amtB 1482 scal01681 1611 54.3522 591 19.9393 0.3669 2.7259
Ammonium transport protein amtB 1952 scal03708 2091 53.5605 760 19.4672 0.3635 2.7513
CO dehydrogenase/acetyl-CoA synthase alpha subunit acsB 576 scal01234 461 40.0174 39 3.3854 0.0846 11.8205
CO dehydrogenase/acetyl-CoA synthase beta subunit acsA 1226 scal02114 2408 98.2055 880 35.8891 0.3654 2.7364
CO dehydrogenase/acetyl-CoA synthase alpha subunit acsB 576 scal02484 472 40.9722 166 14.4097 0.3517 2.8434
Corrinoid FeS protein acsC 1338 scal02486 1972 73.6921 483 18.0493 0.2449 4.0828
Iron sulfur protein isp 1956 scal02487 2731 69.8108 690 17.6380 0.2527 3.9580
Nickel insertase acsF 774 scal02488 1125 72.6744 364 23.5142 0.3236 3.0907
Corrinoid FeS protein acsD 957 scal02489 1560 81.5047 231 12.0690 0.1481 6.7532
5-methyltetrahydrofolate methyltransferase acsE 786 scal02490 1406 89.4402 302 19.2112 0.2148 4.6556
CO dehydrogenase/acetyl-CoA synthase alpha subunit acsB 781 scal03051 1363 87.2599 287 18.3739 0.2106 4.7491
CO dehydrogenase/acetyl-CoA synthase alpha subunit acsB 680 scal03060 972 71.4706 481 35.3676 0.4949 2.0208
CO dehydrogenase/acetyl-CoA synthase beta subunit acsA 363 scal03758 420 57.8512 154 21.2121 0.3667 2.7273
Methylenetetrahydrofolate reductase mfr 969 scal01287 1763 90.9701 284 14.6543 0.1611 6.2077
Formyltetrahydrofolate synthetase fthS 1715 scal02521 5280 153.9359 1208 35.2187 0.2288 4.3709
Methenyltetrahydrofolate cyclohydrolase mch 912 scal03294 1620 88.8158 305 16.7215 0.1883 5.3115
Average coverage core genes 78.7279 18.9324
Average coverage genome 57.0000 12.9477
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The range of coverage of the octaheme hydroxylamine oxidoreductase hao genes was more variable with scal_02116 homolog barely detected at station PA2. The nitrate:nitrite oxidoreductase nxrAB and nitrite reductases nirS were well covered in both stations. Also genes encoding for nitrite (focA) and ammonium transport (amtB) were mapped by a high number of reads (Table 2). The genes encoding for the carbon assimilation via the acetyl-coA pathway were well covered with formyl-tetrahydrofolate synthase at 153-fold coverage standing out. Taken together, the results show that genomic potential for anammox core metabolism is well represented in both the upper and core OMZ of the Arabian Sea, which coincides with the biogeochemical and lipid biomarkers data obtained in previous studies (Jensen et al., 2011; Pitcher et al., 2011).

Anammox bacteria diversity based on 16S rRNA gene reads

In total, 372 reads derived for the Ion Torrent run of the station PA5 (600 m) sample matched the “Candidatus Scalindua profunda” 16S rRNA gene. These reads were submitted to the SINA aligner and compared to the Silva SSU Ref database (http://www.arb-silva.de) resulting in 95 reads assigned to the Planctomycetes phylum. 83% of those reads were affiliated to “Candidatus Scalindua” of the Brocadiaceae family, 2% to the Pla4 lineage, 3% to the Planctomycetes group OM190, 5% to the Phycisphaeraceae family and 7% to the Blastopirellula, Gemmata and Isosphaera species cluster according to the SILVA taxonomy. Sequence reads affiliated to the “Candidatus Scalindua” cluster were closely related to sequences previously recovered from the Arabian Sea (Woebken et al., 2008).

First studies on anammox bacteria diversity based on 16S rRNA gene sequences in suboxic waters, as well as marine and freshwater sediments, concluded that all environmental sequences were closely related to the “Candidatus Scalindua” clade and that the diversity was generally low in comparison with other systems, such as wastewater treatment plants (Woebken et al., 2007; Hu et al., 2010). However, another study by Woebken et al. (2008) revealed a significant microdiversity within the “Candidatus Scalindua” group by sequence analyses of 16S rRNA genes and the 16S–23S rRNA internal transcribed spacer. In our study, by analyzing the sequence reads obtained from high-throughput sequencing methods, we avoided well-known PCR biases that might result in a misleading interpretation of the anammox bacteria 16S rRNA-based diversity. As seen in Figure 1, most of the reads are closely related to 16S rRNA gene sequences attributed to anammox bacteria previously recovered from the Arabian Sea (Woebken et al., 2008). Some reads are also related to sequences recovered from other OMZ such as Namibia, Peru and Black Sea (Woebken et al., 2008). But in general the diversity detected by 16S rRNA gene reads indicates a very low diversity within the studied anammox population.

Figure 1.

Figure 1

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Maximum likelihood tree of Ion Torrent sequence reads of small subunit rRNA gene sequences obtained from the PA5 (600 m) station of the Arabian Sea that displayed similarity to Planctomycetes phylum according to the ARB SILVA database, and close homologs. Sequence reads derived from our analysis are indicated in red. Sequences previously detected in other OMZ systems are also specified in the tree.

Anammox bacteria diversity based on hzsA and hdh genes

To further investigate the diversity of the anammox population in the OMZ, the SNV in consensus sequences of the highly covered hzsA and hdh genes (scal_01318 and scal_03295 respectively) was analyzed. Since the distribution of the SOLiD reads was very non-uniform, only the Ion Torrent reads were taken into account in this analysis. The hzsA and hdh genes had 33 (1.4%) and 56 (3.7%) variable positions occurring in >20% of the reads respectively. Although Ion torrent reads are prone to homopolymer errors, both coding sequences contained only a single homopolymer stretch longer than four nucleotides (GGGGG in hzsA and AAAAAA in hdh). Manual inspection confirmed that no variant was called at these sites. Additionally it has been shown elsewhere that, although there is an increase in error rate for homopolymers stretches, it is minimal for stretches up to four nucleotides (Bragg et al., 2013; Ross et al., 2013).

The variable positions were distributed homogeneously over the entire length of the sequence (Table S1). Close inspection of the read mapping suggests that two strains of “Candidatus Scalindua” make up the majority of the anammox fraction of our sample. The higher number of SNVs in the hdh gene is possibly caused by the presence of two near-identical copies per anammox strain, as has been reported for other anammox bacteria (Strous et al., 2006; Hira et al., 2012).

Additionally, the generated consensus sequence of hzsA was compared to the hzsA of “Candidatus Scalindua profunda” and other “Candidatus Scalindua” hzsA genes previously obtained via PCR amplification (Harhangi et al., 2012; Borin et al., 2013; Nunoura et al., 2013). The final PA5 consensus sequence was 83% identical at nucleotide level to the “Candidatus Scalindua profunda” reference and instead clustered with two clones obtained from the Barents Sea (95% identity) (Figure 2). BLASTn against the NCBI nt database confirmed that these Barents Sea sequences are indeed the closest relatives available. HzsA sequences seem to cluster according to environment, but it is worth noting that the number of environments sampled is very low.

Figure 2.

Figure 2

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Maximum likelihood tree of translated hzsA sequences based on 426 amino acid positions. The reference sequence and consensus sequence used in this study are in bold. Branch support was calculated with the approximate likelihood ratio test (aLRT) and indicated on the branches. The scale bar indicates evolutionary distance of 0.1 substitutions per site.

Differences in the sequence of the hzsA gene in PA2 (170 m) and PA5 (600 m) might indicate the upper and core areas of the OMZ water column are inhabited by different though related anammox populations. These two anammox populations could be segregated based on differences in physicochemical conditions in the Arabian Sea OMZ. Pitcher et al. (2011) reported similar oxygen and nitrite concentrations at 170 and 600 m depth (oxygen, 4.5 and 3.4 μM; nitrite, 0.6 and 0.52 μM, respectively), while ammonia concentrations were 2.5-fold higher at 170 m respect to 600 m depth, suggesting that the anammox population inhabiting the core of the OMZ could be limited in ammonia. The close relation of anammox genes is certainly influenced by the mapping methods used to retrieve the reads that match to the hzsA or hdh genes. All reads that are more than 20% different are excluded from the analysis. A much higher coverage and a much longer read length, and powerful calculating power would be needed to make better draft assemblies and BLASTx analysis to discover new divergent hzsA or hdh genes and would also be necessary to discover more divergent anammox species.

Concluding remarks

NGS technology is a powerful method to obtain genomic information of marine anammox bacteria in OMZ ecosystems. The coverage by SOLiD and Ion Torrent was high enough to analyze the important hzsA and hdh core anammox genes. Together with 16S rRNA gene phylogenetic analysis, it was shown that the diversity of the marine anammox in the Arabian Sea was lower than previously determined by PCR methods.

Conflict of interest statement

The Associate Editor declares that despite being affiliated to the same institution as the authors Daan R. Speth and Theo van Alen, the review process was handled objectively and no conflict of interest exists. The other authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

Samples used in this manuscript were collected in the Arabian Sea OMZ during the PASOM cruise funded by the Netherlands Organization for Scientific Research (NWO) under number 817.01.015. Additional thanks are due to the department of marine organic biogeochemistry and molecular lab facilities of the Royal NIOZ. Daan R. Speth was supported by BE-Basic FP 07.002.01. Mike S. M. Jetten was supported by ERC 232937.

Appendix

Table A1.

Comparison between mapping and blastx analysis of selected Scalindua genes at station PA5.

BLASTX SOLID READS OF PA5
Blastx Exp = 1,0 4583105
Gene Name Mapped reads Hit No blast hit Perc no hit % of total reads Coverage Gene length
scal_03295 hdh 4942 4137 805 16 0.1078 130.3403 1587
scal_01318 hzsA 4525 3326 1199 26 0.0987 68.6906 2421
scal_00863 narG 5366 3553 1813 34 0.1171 50.7862 3498
scal_02098 nirS 3489 2333 1156 33 0.0761 68.6985 1698
scal_02114 acsA 2408 1554 854 35 0.0525 63.3768 1226
scal_02521 fths 5280 4053 1227 23 0.1152 118.1633 1715
Average 27.83
BLASTX ION TORRENT READS OF PA5
Exp = 0.0001 % of total reads Coverage
All genes 22092 22031 61 0.27611805 99.723882
scal_03295 hdh 80 79 1 1.2500 0.3576 8.7114 1587
scal_01318 hzsA 65 65 0 0.0000 0.2942 4.6985 2421
scal_00863 narG 74 73 1 1.3514 0.3304 3.6521 3498
scal_02098 nirS 49 49 0 0.0000 0.2218 5.0501 1698
scal_02114 acsA 25 25 0 0.0000 0.1132 3.5685 1226
scal_02521 fths 70 70 0 0.0000 0.3169 7.1429 1715
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Supplementary material

The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/fmicb.2014.00031/abstract

Click here for additional data file. (218KB, PDF)

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