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Environmental Microbiology (2009) 11(6), 1340–1347 doi:10.1111/j.1462-2920.2009.01860.x Occurrence of phosphate acquisition genes in Prochlorococcus cells from different ocean regions Adam C. Martiny,1* Ying Huang2 and Weizhong Li2 Department of Earth System Science and Department of Ecology and Evolutionary Biology, University of California, Irvine, 92697 CA, USA. 2 California Institute for Telecommunications and Information Technology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA. 1 Summary The cyanobacterium Prochlorococcus is the numerically dominant phototroph in oligotrophic parts of the oceans. Recently, it was shown that the distribution of phosphate acquisition genes did not match the 16S rRNA phylogeny among isolates from this group but rather appeared related to phosphate availability where the strains had been isolated. To further understand adaptation to phosphate limitation in Prochlorococcus, the distribution of phosphate acquisition genes was investigated in different ocean regions and related to local ortho-phosphate concentration. In regions characterized by less than 0.1 mM phosphate, most Prochlorococcus cells contain genes involved in phosphate uptake, regulation and utilization of organic phosphates. In contrast, most of these genes are absent in regions with more than 0.1 mM phosphate with the exception of genes involved in transport of phosphate (phoE and pstABCS) and three genes of unknown function. This pattern of phosphate acquisition genes showed no significant correspondence to the distribution of rRNA phylotypes. In addition, it was demonstrated that several genes in a separate genomic island were commonly present in low-P sites while absent in high-P sites. Overall, this study further demonstrates a linkage between environmental conditions in the ocean and genome content of Prochlorococcus. Introduction Phosphate (P) plays a key role in regulating primary productivity in several regions of the world’s oceans Received 21 August, 2008; accepted 9 December, 2008. *For correspondence. E-mail [email protected]; Tel. (+1) 9498249713; Fax (+1) 9498243874. emi_1860 1340..1347 (Wu et al., 2000; Sanudo-Wilhelmy et al., 2001; Moore et al., 2002a; Thingstad et al., 2005). In these regions, the marine cyanobacterium Prochlorococcus is commonly found at high abundance. Thus, P availability may exert strong influence on the abundance and photosynthetic activity of Prochlorococcus. Recently, it was shown that the distribution of P acquisition genes among Prochlorococcus strains was not consistent with their 16S rRNA phylogeny. Instead, the distribution of these nutrient uptake genes suggested that Prochlorococcus cells from P-limited regions contained more P acquisition gene compared with cells from P-replete regions or deeper in the photic zone (Martiny et al., 2006). In contrast, light and temperature adaptation in Prochlorococcus is closely correlated with phylogeny (Moore et al., 1998; West and Scanlan, 1999; Johnson et al., 2006). In the closely related marine cyanobacterium Synechococcus, a comparison between two strains revealed that an isolate from a nutrient-rich coastal region lacked the phosphate sensor–response regulator system (phoBR), whereas an isolate from a P-depleted region contained these genes (Palenik et al., 2006). This concept of a differential distribution of P-uptake genes was further confirmed by field data from the Global Ocean Sampling (GOS) expedition. Rusch and colleagues (2007) observed that the phosphate uptake genes, pstABCS were significantly more abundant among cells including Prochlorococcus and SAR11 in the Caribbean Sea compared with Eastern Pacific Ocean and attributed this to differences in phosphate concentration. These results suggest that lateral gene transfer combined with rapid exclusion of unnecessary genes could be an important ecological strategy for Prochlorococcus and other ocean bacteria to adapt to variations in oceanic phosphate concentration. Furthermore, this adaptive process involving lateral gene transfer may be a general strategy for competition in the ocean environment considering the large number of gene gains and losses during the evolution of Prochlorococcus (Rocap et al., 2003; Coleman et al., 2006; Kettler et al., 2007). These genetic differences can have a profound impact on the physiology of individual cells (Moore et al., 2002b; 2005). To further elucidate the correspondence between Prochlorococcus genome content and phosphate availability, we analysed for the presence of P acquisition © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd Phosphate acquisition genes in Prochlorococcus cells 1341 genes in Prochlorococcus cells from GOS samples from several oceanic regions. Then, we compared the distribution of P acquisition genes with data describing the average monthly P concentration from these locations and depths taken from the World Ocean Database. The goal was to determine whether a relationship between genome content and seawater phosphate concentration exists. The outcome of this analysis furthers our understanding of how genome content, cell physiology and environmental variation interact to shape the biogeochemical role of Prochlorococcus. Results and discussion Distribution of P acquisition genes To determine the relationship between phosphate availability and uptake genes in Prochlorococcus, we analysed 36 samples from the GOS expedition as listed in Table 1. These samples contained at least an average of 2.5 hits affiliated with Prochlorococcus per 1000 bp. Most of the samples originated from four oceanic regions: Sargasso Sea, Caribbean Sea, Eastern Pacific Ocean and the Indian Ocean. Table 1. Location, depth, date and nutrient profile of GOS expedition samples and Prochlorococcus cultures. Location Sample GS000a GS000b GS000d GS001b GS015 GS016 GS017 GS018 GS019 GS022 GS023 GS025 GS026 GS029 GS047 GS048 GS108 GS109 GS110 GS111 GS112 GS113 GS114 GS115 GS117 GS119 GS120 GS121 GS122 GS123 Sargasso Sea Sargasso Sea Sargasso Sea Sargasso Sea Caribbean Sea Caribbean Sea Caribbean Sea Caribbean Sea Caribbean Sea E. Tropical Pacific E. Tropical Pacific E. Tropical Pacific E. Tropical Pacific E. Tropical Pacific W. Tropical Pacific W. Tropical Pacific Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Indian Ocean Strain MIT9301 MIT9303 MIT9313 MIT9312 NATL1A NATL2A MED4b MIT9211 MIT9215 AS9601c MIT9515 SS120 Sargasso Sea Sargasso Sea Gulf Stream Gulf Stream North Atlantic North Atlantic Mediterranean Sea Equatorial Pacific Equatorial Pacific Arabian Sea Equatorial Pacific Sargasso Sea Depth (m) 5 5 5 5 1.7 2 2 1.7 1.7 2 2 1.1 2 2 30 1.4 1.8 1.5 1.5 1.8 1.8 1.8 1.5 1.5 1.8 2.0 2.8 1.5 1.9 2.2 90 100 135 135 30 10 5 83 5 50 15 120 Date Latitude Longitude Phosphatea Nitratea N/P 2/26/03 2/26/03 2/25/03 5/15/03 1/8/04 1/8/04 1/9/04 1/10/04 1/12/04 1/20/04 1/21/04 1/28/04 2/1/04 2/8/04 3/28/4 5/17/4 8/3/5 8/5/5 8/6/5 8/7/5 8/8/5 8/9/5 8/15/5 8/16/5 9/9/5 9/26/5 9/27/5 9/29/5 9/30/5 10/1/5 31.5 31.6 31.5 32.5 24.5 24.5 20.4 18.3 10.3 6.2 5.2 5.1 1.2 0.06 -10.1 -17.5 -12.1 -10.9 -10.4 -9.6 -8.5 -7.0 -5.0 -4.7 -4.6 -23.2 -26.0 -29.3 -30.9 -32.4 296.4 295.7 296.4 295.5 276.9 275.7 274.6 276.2 279.7 277.1 273.4 272.9 269.7 268.4 224.6 210.2 96.9 92.1 88.3 84.2 80.4 76.3 65.0 60.5 55.5 52.3 50.1 43.2 40.4 36.6 0.06 0.06 0.06 0.06 0.03 0.02 0.11 0.08 0.05 0.35 0.95 0.95 0.32 0.50 0.20 0.20 0.24 0.14 0.11 0.10 0.04 0.13 0.17 0.25 0.21 0.13 0.16 0.14 0.14 0.28 0.29 0.29 0.29 0.29 1.48 0.98 0.55 0.30 0.00 4.84 10.6 10.6 0.94 5.38 0.03 0.03 0.05 0.04 0.05 0.10 0.21 0.20 0.09 0.28 0.32 0.38 0.09 0.35 0.90 0.15 5.1 5.1 5.1 5.1 54.9 51.7 4.9 3.6 0.0 13.8 11.1 11.1 2.9 10.7 0.2 0.2 0.2 0.3 0.5 1.0 5.4 1.5 0.5 1.1 1.5 2.8 0.5 2.5 6.5 0.6 07/10/93 07/15/93 07/17/93 07/17/93 04/16/90 04/01/90 01/01/89 04/10/92 10/03/92 11/01/95 06/02/95 05/30/88 34.2 34.8 37.5 37.5 37.4 39.0 43.2 0.0 0.0 -19.0 -5.7 29.0 293.7 293.8 291.8 291.8 320.0 310.7 6.9 220.0 220.0 67.0 252.9 295.7 0.06 0.11 0.42 0.42 0.08 0.16 0.21 0.76 0.68 0.60 0.63 0.02 0.98 1.45 6.74 6.74 0.74 1.96 2.96 5.06 4.75 0.72 4.19 0.84 15.9 14.7 16.0 16.0 9.5 12.6 14.2 6.7 7.0 1.2 6.7 41.9 a. Monthly average values at these locations and depth are retrieved from World Ocean Database (unit: mM) ( Boyer et al., 2006). b. Value retrieved from grid cell 42.5 N, 6.5 E as no data were available for 43.5 N, 6.5 E. c. Value retrieved from JGOFS Arabian Sea cruise TTN53, station N7 (Shalapyonok et al., 2001). © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347 1342 Adam C. Martiny, Y. Huang and W. Li Fig. 1. Occurrence of phosphate acquisition genes in Prochlorococcus. A. Genes located in proximity to phoB in strain MED4. Red star denotes upregulated genes during phosphate limitation (Martiny et al., 2006). Prochlorococcus gene occurrence in DNA libraries from the surface waters of the (B) Sargasso Sea (GS00d), (C) Caribbean Sea (GS17), (D) Eastern Pacific Ocean (GS23) and (E) Indian Ocean (GS114) (Rusch et al., 2007). Abundance of individual genes is determined by reciprocal best BLAST hit and normalized against length. The frequency is calculated as the length-normalized occurrence of a specific gene divided by the length-normalized mean occurrence of single-copy core Prochlorococcus MED4 genes at each site (Kettler et al., 2007). The shaded box represents the abundance of 95% of the single core genes (fitted to a gamma distribution). The unfilled area of pstS represents copies that are associated with phages. Martiny and colleagues (2006) observed that many genes upregulated during P stress in Prochlorococcus MED4 were located in a genomic region around the phosphate stress response regulator phoB (also illustrated in Fig. 1A). These genes are mostly involved in P assimilation (e.g. P uptake, organic-P utilization and regulation). Here we determined the relative abundance of each of these P acquisition genes in each GOS sample and compared the values with the mean abundance of core genes (see Table S1 for abundance data for all genes). This value indicates the relative frequency of Prochlorococcus cells that contain a given gene. Figure 1B–E show the results of selected samples from different regions; other samples from each of these regions show similar trends. Most Prochlorococcus cells in the Sargasso and Caribbean Sea samples contain the majority of genes from this genomic region in MED4 [i.e. the ratio of P acquisition to core genes are within the 95% confidence interval of core genes (shaded area)], whereas cells lack many genes in the eastern Pacific and Indian Ocean samples. Cells from the eastern Pacific and Indian Ocean appear only to contain genes involved in the direct uptake of ortho- © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347 Phosphate acquisition genes in Prochlorococcus cells 1343 phosphate (phoE and pstABCS) and three genes of unknown function (PMM0715, PMM0719 and PMM721). With the exception of PMM0715 and 721, the genes detected in the Pacific and Indian Ocean are also present in all sequenced Prochlorococcus strains. This pattern suggests that Prochlorococcus cells require these proteins for P assimilation regardless of nutrient concentration. The rest of the genes found in the Sargasso or Caribbean Sea may represent a sophistication that allows for regulation (e.g. phoBR and ptrA) and utilization of alternative P sources (e.g. phoA) in addition to several unknown components. Despite the presence of pstS in all known Prochlorococcus genomes, Rusch and coworkers found DNA fragments containing pstS in higher abundance in the Caribbean Sea compared with the Eastern Pacific Ocean (Rusch et al., 2007) (see also Fig. 1C and D for the same trend). Some cyanophages carry phosphate uptake genes including pstS (Sullivan et al., 2005), so we removed any GOS hit if the paired-end sequence mate had best match to a phage (unfilled area in Fig. 1). However, we still observe a higher abundance of pstS in the Caribbean Sea compared with other regions. In some Prochlorococcus strains, pstS is present in two or three copies (MIT9301, MIT9303, MIT9313 and SS120). This trend is also observed among marine Synechococcus (Moore et al., 2005) and may explain the difference in the frequency of pstS between individual oceanic sites. In other words, most Prochlorococcus cells in the Sargasso Sea, Pacific and Indian Ocean only contain one pstS copy whereas cells in the Caribbean Sea contain two or more. In MIT9313, only one copy of pstS responded to P stress indicating that individual copies may be under different regulatory control (Martiny et al., 2006). To compare the gene stoichiometries of the GOS samples to the local phosphate concentration, we retrieved monthly average values for phosphate and nitrate for each location and depth from the World Ocean Database (Table 1) (Boyer et al., 2006). A caveat is that this approach may introduce additional variance in the analysis of correspondence between genome content and phosphate availability, as these values do not represent the exact nutrient concentration at the time of sampling. At the month of sampling, the Sargasso Sea and Caribbean Sea regions are characterized by a low P concentration (average = 0.06 mM). Samples from the Indian Ocean generally contained between 0.08 and 0.24 mM phosphate, whereas the P concentration in the Pacific Ocean sites was above 0.2 mM. This concentration difference is clearly reflected in the average occurrence of P acquisition genes in Prochlorococcus (Fig. 2). A detailed analysis of each gene shows that that cells proliferating in ocean water with less than approximately 0.1 mM phosphate contain almost all P acquisition genes, cells found in Fig. 2. Relationship between phosphate concentration and average occurrence of Prochlorococcus P acquisition genes in GOS samples and isolated strains. The average occurrence of P genes is the logarithmic mean of relative abundance of genes from the phoB genomic region (as defined in MED4) in Prochlorococcus in a water sample or isolated strain. Thus, MED4 has a value of one. Phosphate concentration values for each site are retrieved from the World Ocean Database (Boyer et al., 2006) and are listed in Table 1. areas with approximately 0.1–0.3 mM P have some assimilation genes (including mfs and gap1), whereas cells from P-rich waters have few of these genes. Figure 2 also includes 12 Prochlorococcus strains representing all known major phylogenetic clades. Most strains isolated from ocean waters with low phosphate have many P acquisition genes, whereas strains from P-rich regions have few genes with two notable exceptions. Strain MIT9312 and MIT9313 contain many genes involved in P uptake but were isolated from the relative nutrient-rich Gulf Stream at 135 m depth. Both strains contain partly degraded P acquisition genes (phoA in MIT9312 and phoR in MIT9313) (Rocap et al., 2003; Moore et al., 2005; Martiny et al., 2006), so these lineages could have been in the process of adapting to a more phosphate-rich environment. Also, the metagenomic analysis measures the average genome content of Prochlorococcus at a given site whereas the genome of a single strain represents the history of the cell and not necessarily the gene content of the population. Thus, MIT9312 and MIT9313 may have been adapted to a more nutrient-poor environment but recently transported by the ocean current to the position where they were isolated. In contrast, there was no clear relationship between the nitrogen to phosphate (N/P) ratio and the distribution of P acquisition genes (Table 1). This result may partly be due to difficulties of measuring P at very low concentrations (Karl and Tien, 1992), leading to an overestimation of P in © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347 1344 Adam C. Martiny, Y. Huang and W. Li the Sargasso Sea (as represented in the World Ocean Database). However, many samples and strains do not originate from such extremely low-P environments, but still do not show any relationship between genome content and N/P ratio. This suggests that the concentration of phosphate per se controls the distribution of P acquisition genes rather than the role of P as a limiting nutrient. important role in the response to P stress in Prochlorococcus in natural populations. Furthermore, it provides additional evidence that genes located in genomic islands may regulate the physiology of individual Prochlorococcus cells in response to variation in specific environmental factors as proposed earlier (Coleman et al., 2006). Lateral gene transfer Environmental profiling Having established that Prochlorococcus cells proliferating in environments with less than approximately 0.1 mM phosphate have many P acquisition genes whereas cells from P-rich regions contain only a few of these genes, we searched for other genes with a similar profile in the GOS samples. Figure 3 shows the ratio of occurrence of genes in low- to high-P regions (i.e. samples from Sargasso plus Caribbean Sea versus Pacific and Indian Ocean) of each gene in Prochlorococcus MED4. This analysis underscores the findings described above whereby P acquisition genes surrounding phoB are more prevalent in the Sargasso and Caribbean Sea compared with the Indian and Pacific Ocean. In addition, we found that a region spanning PMM1403 to PMM1419 is commonly found among cells in low-P areas but not in high-P areas. Interestingly, these genes belong to a genomic island (ISL5) unique to MED4 (Coleman et al., 2006) and in a microarray experiment these genes were shown to respond to P limitation (Martiny et al., 2006). This result suggests that this genomic island plays an Fig. 3. Ratio of occurrence of Prochlorococcus MED4 genes in low- versus high-P sites. The ratio is determined as the average frequency of genes in samples from Sargasso and Caribbean Sea divided by average frequency of genes from Pacific and Indian Ocean (frequency of genes in Prochlorococcus is calculated as described for Fig. 1). From the analysis of P acquisition genes in Prochlorococcus strains, it was clear that the presence or absence of these genes did not correspond with major phylogenetic groupings (Martiny et al., 2006). However, the distribution of phosphate acquisition genes in Prochlorococcus could still be explained by the existence of a number of monophyletic subgroups within major phylogenetic clades that dominate the surface water of the analysed sites (i.e. eMED4 and eMIT9312). Thus, some groups within these major clades might be adapted to low and others to high P concentration. This would suggest that lateral gene transfer is a relatively rare event. Alternatively, if phosphate acquisition genes are commonly transferred laterally between Prochlorococcus cells, there should be no linkage between the phylotype (and thereby the core genome of Prochlorococcus) and the presence or absence of these P genes. To test this, we compared the 16S/23S rRNA intergenic transcribed spacer (ITS) sequence similarity from two groups – high(Pacific and Indian Ocean) and low-P environments (Sargasso and Caribbean Sea) – and observed that sequences from one environment were not more closely related to one another than those across environments (ANOSIM, P = 0.9, n = 126). This result indicates a lack of phylogenetic clustering related to P physiology and is consistent with a recent study of the biogeography of Prochlorococcus where no correspondence between diversity and P concentration was detected (Martiny et al., 2009). Furthermore, it suggests that lateral transfer of P acquisition genes commonly occur between cells and is an important mechanism for adaptation to differences in P concentration. Some cyanophages carry host genes including the phosphate uptake gene pstS, so they may facilitate lateral gene transfer between Prochlorococcus cells (Sullivan et al., 2005). To further investigate this, we compared the phylogeny of pstS in host and phage (Fig. 4), and observed that pstS associated with phages formed a distinct cluster. Although cyanophages in all likelihood gained this gene from Prochlorococcus, this phylogenetic pattern indicates that the gene has not been transferred back to the host. Thus, phages may not be the vector for lateral transfer of P acquisition genes between Prochlorococcus cells. © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347 Phosphate acquisition genes in Prochlorococcus cells 1345 Fig. 4. Phylogenetic relationship of pstS in cyanobacteria and cyanophages. The reciprocal best match of the paired-end sequence mate of GOS reads was determined by BLASTX. Numbers on the tree represents bootstrap values (100 total) estimated in PHYLIP by neighbor-joining, maximum parsimony and maximum likelihood of the protein alignment. © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347 1346 Adam C. Martiny, Y. Huang and W. Li Role of genome adaptation to P starvation The analysis presented here suggests a phosphate concentration threshold at approximately 0.1 mM for different genomic variants in relation to P acquisition genes. Below this threshold, Prochlorococcus cells contain a variety of genes involved in orthophosphate uptake, organic P utilization and regulation as well as many genes of yet unknown function. Above this threshold many genes are absent. This ecological trade-off may be driven by the value of increased P uptake versus the cost of carrying and expressing additional genes. The P half-saturation constant (K) – which reflects the ability to take up P at low concentrations – could be affected by the presence or absence of some of these genes. This could include the ability to change the cell protein content when starved by phosphate using the regulatory system phoBR. The K-value for P is unknown in Prochlorococcus, but several marine Synechococcus strains have K-values of 0.014 [measured based on growth, Km (Timmermans et al., 2005)] to 0.04 mM [measured based on phosphate uptake, Ks (Ikeya et al., 1997)]. Considering that Prochlorococcus likely has a lower K-value due to the larger surface-to-volume ratio compared with Synechococcus, phosphate uptake is probably maximized independently of extra genes at a phosphate concentration of 0.1 mM or more. Thus, above this nutrient level it appears advantageous to have a smaller genome compared with an improved P uptake system and this may drive the gene content of Prochlorococcus. Experimental procedures Abundance of Prochlorococcus genes The abundance of each Prochlorococcus MED4 gene was determined in two steps. First, we searched all GOS samples (Table 1) with TBLASTN (e-value 1E-6 and minimum length of 25 letters) to find hits matching any Prochlorococcus strain (4.6 million hits). The translated GOS sequences of these hits were compared with the reference database of all sequenced genomes (GenBank as of 01/28/08) using fast CD-HIT-2D program (accurate mode) to determine whether a read had reciprocal best match to Prochlorococcus (Li and Godzik, 2006). For sequences with no match using CD-HIT-2D, we also applied BLASTX to find top matches at e-value ⱕ1e-10. Noteworthy, we used the GenBank annotation for MED4 and not the newer annotation presented in Kettler and colleagues (2007), as the GenBank annotation is widely available. However, this will not influence our results as both annotation contain all core and phosphate assimilation genes in MED4. Second, we assigned each Prochlorococcus hit to a specific protein in MED4. We used this genome as we have gene expression data under P stress and it have the most expansive gene cluster involved in P acquisition (Martiny et al., 2006). A GOS hit was considered an orthologue if: (i) it was assigned to Prochlorococcus and (ii) the reciprocal hit matched the original query protein when only the MED4 genome was searched. We only assigned one hit per GOS read for each Prochlorococcus query protein to accommodate errors such as frame shifting of the GOS reads. The motivation for this two-step approach was to avoid problems with assigning orthologues within Prochlorococcus. The relative abundance of each gene was calculated as the number of hits of a specific gene divided by the mean number of hits of single-copy core genes (as identified in Kettler et al. 2007). All hits were normalized for gene length (see Table S1 for raw and normalized values). Using Matlab (Mathworks, MA), a maximum likelihood estimate of the mean abundance of Prochlorococcus genes and variance for each sample is calculated by fitting the number of hits of single-copy core genes (n = 1209) to a gamma distribution (Table S1). We also tested if GOS fragments matching pstS were located in cyanophages or Prochlorococcus by comparing the paired end sequence mates against all sequenced genomes of prokaryotes and cyanophages using BLASTX (e-value = 1E-6). Phylogenetic analysis of ITS sequences We aligned all 16S/23S rRNA ITS sequences affiliated to Prochlorococcus from the analysed GOS sites (Table 1, n = 126) using ARB (Ludwig et al., 2004). Next, a distance matrix of these sequences using maximum likelihood correction was calculated in Phylip v3.66 (Felsenstein, 1989) and imported into Primer v6 (PrimerE, UK) (see also Table S2 for the distance matrix). We divided the sequences into two groups – high- (Pacific and Indian Ocean) and low-P environments (Sargasso and Caribbean Sea) – and tested if sequences from one environment were not more closely related to one another than those across environments using ANOSIM. Acknowledgements We would like to thank Paul Gilna and John Wooley at CAMERA (http://camera.calit2.net) for providing computational resources, Zackary Johnson and Jennifer Martiny for many helpful comments on the manuscript, and the J. Craig Venter Institute and Gordon and Betty Moore Foundation for allowing early access to the Global Ocean Survey samples from the Indian Ocean. The work was supported by the University of California, Irvine (A.C.M.) and the Gordon and Betty Moore Foundation (Y.H. and W.L.). References Boyer, T.P., Antonov, J.I., Garcia, H.E., Johnson, D.R., Locarnini, R.A., Mishonov, A.V., et al. (2006) World Ocean Database 2005. Washington, DC, USA: U.S. Goverment Printing Office. Coleman, M.L., Sullivan, M.B., Martiny, A.C., Steglich, C., Barry, K., Delong, E.F., and Chisholm, S.W. (2006) Genomic islands and the ecology and evolution of Prochlorococcus. Science 311: 1768–1770. Felsenstein, J. (1989) PHYLIP: phylogeny inference package (version 3.2). 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Supporting information Additional Supporting Information may be found in the online version of this article: Table S1. Raw number of hits to GOS samples, number of hits normalized to gene length, number of hits normalized to mean abundance core genes. Table S2. Phylip distance matrix for GOS reads encoding Prochlorococcus ITS sequences based on an alignment of 452 positions. Please note: Wiley-Blackwell are not responsible for the content or functionality of any supporting materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article. © 2009 The Authors Journal compilation © 2009 Society for Applied Microbiology and Blackwell Publishing Ltd, Environmental Microbiology, 11, 1340–1347