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Applied and Environmental Microbiology, May 2009, p. 2879-2888, Vol. 75, No. 9
0099-2240/09/$08.00+0 doi:10.1128/AEM.02656-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Karen E. Arthur,1
Liangcai Gu,2
Cliff Ross,3
Genelle Harrison,1
Sarath P. Gunasekera,1
Theresa Meickle,1
Susan Matthew,4
Hendrik Luesch,4
Robert W. Thacker,5
David H. Sherman,2 and
Valerie J. Paul1*
Smithsonian Marine Station at Fort Pierce, 701 Seaway Drive, Fort Pierce, Florida 34949,1 Life Sciences Institute and Departments of Medicinal Chemistry, Chemistry, and Microbiology & Immunology, University of Michigan, 210 Washtenaw Ave., Ann Arbor, Michigan 48109,2 University of North Florida, 1 UNF Drive, Jacksonville, Florida 32224,3 Department of Medicinal Chemistry, University of Florida, 1600 SW Archer Road, Gainesville, Florida 32610,4 Department of Biology, University of Alabama at Birmingham, Birmingham, Alabama 35294-11705
Received 19 November 2008/ Accepted 26 February 2009
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It is not well known how external, abiotic, environmental factors regulate bioactive compound biosynthesis in cyanobacteria. Taxonomic studies of the Oscillatoriales, which includes many chemically rich species in genera such as Lyngbya, Oscillatoria, and Phormidium, have conventionally been based on morphological characteristics, including cell length and width, colony formation, extracellular sheath width, and pigmentation. Unfortunately, these diagnostic features exhibit plasticity in response to environmental parameters such as salinity, turbidity, and nutrient content (44, 54, 59). Molecular approaches to taxonomy, based on nitrogenase (nifH) and 16S rRNA gene sequences (18, 24, 25, 59, 63, 64) and random amplified polymorphic DNA analysis (6, 40), have revealed enormous phylogenetic diversity among environmental cyanobacteria not indicated by morphological classifications, suggesting that cyanobacterial taxonomy remains widely unresolved. As a result, it has been a challenge to identify species-specific patterns of bioactive compound production in the Oscillatoriales. Genetically distinct strains of the cyanobacteria Anabaena and Aphanizomenon have been shown to have different bioactive compound compositions (20, 31), but Thacker and Paul (59) demonstrated that variation in 16S rRNA gene sequences often does not correlate with chemical variability among samples from the genus Lyngbya collected in Guam. These data suggest that other mechanisms, such as responses to environmental conditions or faster rates of genetic change in biosynthetic genes, may contribute to the chemical variation observed among Lyngbya spp.
Elucidation of biosynthetic pathways encoding Lyngbya-derived compounds, including the barbamides, lyngbyatoxin A, curacin A, and jamaicamides (7, 8, 11, 12), illustrates some novel biosynthetic mechanisms for the secondary metabolites in Lyngbya spp. Identification of these genes allows the development of cyanobacteria-specific probes for secondary metabolite biosynthesis. Surveys for biosynthetic genes and 16S rRNA gene sequencing across the five taxonomic sections of cyanobacteria have revealed a wide variability of secondary metabolite biosynthesis (13). The majority of the compounds found in Lyngbya spp. are synthesized via nonribosomal peptide synthetases (NRPSs) or mixed polyketide synthase-NRPSs (57). The identification of specific natural product biosynthetic genes provides an effective indicator for the presence of a pathway in a target genome. For example, the curacin A pathway includes a series of genes that are unusual for polyketide synthase and NRPS systems. A GNAT-like domain in the chain initiation module was demonstrated to mediate the chain initiation by catalyzing malonyl coenzyme A decarboxylation and S-acetyl transfer (19). In the chain termination module, a sulfotransferase has been predicted to mediate decarboxylative chain termination (8). In this report, the genes encoding these two atypical enzymes, as well as the condensation (C) domain from the NRPS module in the middle of the curacin A pathway (8), were selected in order to identify the highly similar curacin D pathway in the genomes of Lyngbya collections.
Methods developed for understanding the molecular basis of natural products biosynthesis can be combined with species identification—based on both 16S rRNA gene sequence and morphology—to present a powerful approach to evaluate the genetic potential for microbial production of secondary metabolites. Probing and surveying uncultured environmental strains for the presence of genes for secondary metabolite biosynthesis can reveal mechanisms driving the distribution of bioactive compounds in the environment.
Since the description of the 2002 to 2005 Lyngbya blooms (46), Lyngbya spp. have continued to be prevalent on the Broward County reefs in the summer and fall months. Here, we describe three dominant chemotypes of Lyngbya collected from reefs near Fort Lauderdale, FL, and we assess their diversity based on morphology, 16S rRNA gene sequences, and presence of biologically active compounds. One of these chemotypes contains curacin D, and here we show that the presence of this molecule corresponds to the presence of curacin biosynthetic gene clusters. The curacin biosynthetic genes are absent in the genomes of other Lyngbya species collected from the site, indicating a species-specific genetic basis to the chemical variation observed among Lyngbya species occurring in southeastern Florida.
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TABLE 1. Lyngbya samples evaluated in this studya
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Morphological characteristics of Lyngbya spp. were compared by multivariate analysis using Primer 6 (Primer-E Ltd., Plymouth, United Kingdom). Descriptive parameters used for comparison were filament width, cell width, and cell length. Data were normalized using a log transformation to ensure that the magnitude of the measurement did not affect the comparative analysis. A Bray-Curtis similarity matrix was established and nonmetric multidimensional scaling was used to produce a two-dimensional ordination of the data (10). Cluster analysis based on morphological characters was performed to determine whether the samples grouped a priori differed from one another based on their multivariate structure. A similarity profile (SIMPROF) test was incorporated to assess the significance of divisions within the cluster analysis (9). Significant differences were determined at a P level of 0.05.
Bioactive compound isolation and analysis.
Frozen bulk samples of Lyngbya were freeze-dried and extracted in a nonpolar (1:1 ethyl acetate-methanol) followed by a polar (1:1 ethanol-water) solvent scheme. Resulting nonpolar crude extracts were separated using column chromatography followed by reverse-phase high-performance liquid chromatography (HPLC). This study documents the presence of compounds across a range of species from Fort Lauderdale collections. Previous studies detailed the bioassay-guided fractionation and nuclear magnetic resonance (NMR) methods used to isolate and elucidate structures of the compounds of interest (21, 34, 35, 48, 58). For comparisons among chemotypes, an Econosil (Alltech, Deerfield, IL) C18 10-µm column was used with a solvent scheme consisting of methanol-water (80:20) run isocratically for 10 min followed by a linear gradient to 100% methanol over the course of 60 min.
16S rRNA gene sequencing and clone library construction.
Cyanobacterial samples fixed in RNAlater were further separated under the dissection microscope (10x) so that only the dominant filamentous morphotype was apparent in the sample. Approximately 50 mg of the filamentous material was used for nucleic acid purification. Genomic DNA was extracted from each sample using a protocol adapted from that of Preston et al. (50). RNAlater was removed and replaced by 1 mg/ml lysozyme-TE (10 mM Tris-HCl, 1 mM EDTA; pH 8.0), and the samples were incubated at 37°C for 30 min. Proteinase K was added to a final concentration of 0.5 mg/ml, and the samples were incubated at 55°C for 1 h, until the solution was transparent. To complete lysis, the sample was boiled for 60 s. After lysis, the DNeasy genomic extraction kit (Qiagen) bacterial DNA extraction protocol was used.
PCR with the cyanobacteria-specific forward primer 359F (5'-GGGGAATYTTCCGCAATGGG-3') (41) and general eubacterial reverse primer 1492R (5'-TACGGYTACCTTGTTACGACTT-3') was done under the following profile conditions: initial denaturation (3 min at 95°C); 35 cycles of denaturation (30 s at 95°C), annealing (1 min at 50°C), and elongation (1 min at 72°C); and a final extension step (7 min at 72°C). The resulting PCR fragment for each sample was cloned into a PCR 2.1 vector (Invitrogen), which was transformed into TOP10 cells (Invitrogen). Transformants were selected using Luria-Bertani plates containing 1 µg/ml kanamycin topspread with 50 ng/ml 5-bromo-4-chloro-3-indolyl-β-D-galactopyranoside. For each sample, inserts were amplified from three white colonies picked from the selective plates with plasmid-specific primers (M13F, 5'-GTAAAACGACGGCCAG-3'; M13R, 5'-CAGGAAACAGCTATGAC-3' [Invitrogen]). Inserts were sequenced for full 2x sequence coverage, using the ABI BigDye version 3.1 sequencing mix.
For some samples, additional PCRs were required, pairing the cyanobacteria-specific forward primer 106F (5'-CGGACGGGTGAGTAACGCGTGA) with reverse primer 1492R (above). These PCR products were gel purified and cleaned using the Wizard PCR Preps system (Promega) and then were ligated into plasmids using the pGEM-T Easy vector system (Promega). For each sample, plasmids were harvested from at least three white colonies using the QIAprep Spin miniprep kit (Qiagen). Inserts were sequenced using two plasmid-specific primers (T7, 5'-TAATACGACTCACTATAGGG-3'; SP6, 5'-ATTTAGGTGACACTATAGAA-3') and three cyanobacteria-specific primers (359F, above; 781F, 5'-AAWGGGATTAGATACCCCWGTAGTC-3'; 781R, 5'-GACTACWGGGGTATCTAATCCCWTT-3') (41).
For each clone, reads were assembled into contigs in Sequencher 4.2 (GeneCodes Corp., Ann Arbor, MI) and CodonCode Aligner 2.0.6 (CodonCode Corp., Dedham, MA). For each sample, contigs from at least three clones were aligned to construct a single inclusive consensus sequence. Individual clone sequences and sample consensus sequences were compared to sequences in the Ribosomal Database Project database (http://rdp.cme.msu.edu/index.jsp) and GenBank (http://www.ncbi.nlm.nih.gov/BLAST/).
Phylogenetic analyses.
Consensus sequences were aligned using Clustal W, as implemented in CodonCode Aligner 2.0.6. GenBank BLAST searches identified the sequences most closely related to the consensus sequences for phylogenetic comparisons. Modeltest 3.7 (49) was used to select the best model of DNA substitution, the general time reversible model with an estimated proportion of invariable sites, and an estimated gamma distribution of variable substitution rates among sites (GTR+I+G).
Bayesian phylogenetic analyses were conducted by using MrBayes 3.1.2 (51) to calculate the posterior probabilities of branch nodes under the GTR+I+G model. The Monte Carlo Markov chain length was set at 3.5 million generations with sampling every 100th generation and a burn-in value of 8,750 cycles; the temperature parameter was set at 0.10. Convergence after 1.4 million generations was determined by an average standard deviation of split frequencies of <0.01 and by the values of all potential scale reduction factors equal to 1.00. Maximum likelihood (ML) phylogenetic analyses were performed by implementing the GTR+I+G model in GARLI 0.96 (65); data were resampled with 100 bootstrap replicates. Neighbor-joining (NJ) phylogenetic analyses were performed in MEGA 4.0 (56), using the maximum composite likelihood method with an estimated proportion of invariable sites and an estimated gamma distribution of variable substitution rates among sites; data were resampled using 1,000 bootstrap replicates.
Identification of curacin biosynthetic genes in Lyngbya spp.
Filaments from the two most similar Lyngbya spp. were flash-frozen in liquid nitrogen and homogenized with a Dounce tool in microcentrifuge tubes. Homogenized cell powder was resuspended in TE buffer (10 mM Tris-HCl, 1 mM EDTA; pH 8.0) and extracted three times with phenol-chloroform (1:1). The final aqueous layer was transferred to a new tube, and genomic DNA was precipitated with 95% ethanol, dried in air, and solubilized in TE buffer.
Three representative catalytic domains in the curacin A biosynthetic gene cluster (8) were selected as probes for the presence of curacin D biosynthetic genes in Lyngbya genomes: (i) a GNATL domain in the CurA loading module; (ii) a C domain in the CurF NRPS module; (iii) an ST domain in the CurM chain termination module (8, 19). Degenerate primers were designed based on the conserved protein sequences in the following domains (restriction sites are underlined): (i) GNATL (F), 5'-CATATGATHGTIGGIGCIATHTAY-3', and (R), 5'-CTCGAGICCRTGDATYTGRTGRAA-3'; (ii) C domain (F), 5'-CATATGATHCARCARGCITAYTGG-3', and (R), 5'-CTCGAGYTCRTTIACYTGIGGRTG-3'; (iii) ST (F), 5'-CATATGTTYAAYACIATGAARGAR-3', and (R), 5'-CTCGAGRTAIGGRTTYTCYTC ICC-3'. PCR products were visualized by gel electrophoresis, purified from agarose gels by using a Wizard SV gel cleanup kit (Promega), and inserted into the pGEM-T Easy vector (Promega) for propagation. Insertions for PCR products of the GNATL, C domain, and ST genes were sequenced and compared to corresponding regions in the curacin A biosynthetic gene cluster (8).
Nucleotide sequence accession numbers.
Consensus sequences were deposited in GenBank under accession numbers FJ602745 to FJ602753.
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FIG. 1. Lyngbya spp. collected in Fort Lauderdale, FL. Each species, as identified based on morphological features, is shown in situ at the collection site (A) and in dissecting light micrographs (B).
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FIG. 2. Multivariate analysis of morphological characteristics of Lyngbya samples collected from Fort Lauderdale, FL. A multidimensional scaling plot of normalized cell measurements (filament width, cell width, and cell length) for each sample collected is shown.
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FIG. 3. Bioactive compounds from Lyngbya species in this study. (A) Lyngbya sp. strain B contains curacin D and dragonamides C and D. Lyngbya sp. strain A contains microcolins A and B. (B) L. cf. confervoides contains many compounds, including lyngbyastatins 4, 5, and 6, pompanopeptins A and B, and largamides A to H.
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FIG. 4. Chemical differences between Lyngbya sp. strain A and Lyngbya sp. strain B. (A) HPLC chromatograms of a crude extract from Lyngbya sp. strain A, showing the presence of microcolins A and B (arrows). (B) Pure microcolins A and B. (C) Crude extract from Lyngbya sp. strain B, showing the presence of curacin D and dragonamide C. (D) Pure curacin D. (E) Pure dragonamide C.
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FIG. 5. Phylogram of 16S rRNA gene sequences from three chemotypes of bloom-forming Lyngbya spp. collected from Fort Lauderdale, FL. Labels on terminal nodes indicate the chemotype and date of sample collection; comparison sequences are identified according to their GenBank accession numbers. Bars on the right indicate the curacin-producing Lyngbya sp. strain B samples, the non-curacin-producing Lyngbya sp. strain A specimens, and L. cf. confervoides. Tree topology was constructed using Bayesian inference. Percentage Bayesian posterior probability (PP), ML bootstrap, and NJ bootstrap support values are shown at each node (PP/ML/NJ); values less than 50 are indicated by asterisks. Bar, 0.01 substitutions per site.
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Identification of curacin biosynthetic genes in L. polychroa.
Genomic DNA from each of seven Lyngbya sp. strain A and B samples were surveyed by PCR for the presence of genes in the curacin D biosynthetic gene cluster. Three pairs of degenerate primers were designed based on the conserved sequences in three essential catalytic domains in the curacin A pathway (8), including CurA GNATL (GCN5-related acetyltransferase-like decarboxylase/S-acetyltransferase) (19), CurF C (condensation) domain, and CurM ST (sulfotransferase), which are responsible for the chain initiation, thiazoline ring formation, and decarboxylative chain termination of curacin A, respectively. Each of the Lyngbya sp. strain B samples yielded PCR products with expected sizes for all three primer pairs (Fig. 6). The resulting products were sequenced and compared with the regions in curacin A biosynthetic genes. The encoded amino acid sequences in GNATL and ST domains are identical to those of the curacin A pathway, and only one amino acid difference was found for the sequences in the C domains, indicating that the Lyngbya sp. strain B samples contain curacin biosynthetic genes. The CurA GNATL and CurM ST gene fragments were not detected in any of the Lyngbya sp. strain A samples with these primers (Fig. 6). The primers targeting the CurM ST domain did amplify DNA from one of the Lyngbya sp. strain A samples, but the other two gene fragments were not detected in that sample.
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FIG. 6. Gel electrophoresis of PCR amplification products for detection of three different gene fragments in the curacin D biosynthetic cluster. CurA GNATL, primer pair for GCN5-related acetyltransferase-like decarboxylase/S-acetyltransferase; CurF C, primer pair for the condensation domain and CurM; ST, primer pair for sulfotransferase. Lanes 1 to 7 correspond to Lyngbya samples as follows: 1, 3 August 2006 (Lyngbya sp. strain B); 2, 3 August 2006 (Lyngbya sp. strain A); 3, 20 October 2006 (Lyngbya sp. strain B); 4, 8 June 2007 (Lyngbya sp. strain B); 5, 8 June 2007 (Lyngbya sp. strain A); 6, 11 July 2007 (Lyngbya sp. strain A); 7, 4 May 2007 (Lyngbya sp. strain A).
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Lyngbya species and other marine cyanobacteria are prolific producers of diverse bioactive compounds with significant pharmaceutical applications, but some of the compounds can have detrimental impacts on benthic ecosystems. Each of the three morphologically and genetically distinct groups of Lyngbya samples consistently contained a distinct secondary metabolite profile. Lyngbya sp. strain A samples contained cytotoxic metabolites, primarily the microcolins A and B, which were previously found in Lyngbya samples collected in Venezuela (26). 16S rRNA gene sequences indicated that the Lyngbya sp. strain B samples are almost identical (>99.9% sequence identity) to the curacin A- to C-producing L. majuscula strains from Curaçao (17, 62), and they contain curacin D, a highly cytotoxic metabolite previously isolated from L. majuscula collected in the U.S. Virgin Islands (32). In addition, Lyngbya sp. strain B contains dragonamides C and D (21), which are closely related to dragonamides A and B found in a Panamanian strain of L. majuscula (36).
Microcolins A and B, first isolated from a Lyngbya majuscula strain collected in Venezuela, are lipopeptides that are of clinical interest for their potent inhibition of the mammalian murine mixed lymphocyte response and murine P-388 leukemia (26). In the marine environment, natural concentrations of microcolin B act as a feeding deterrent to Stylocheilus longicauda, a specialist predator of L. majuscula (38). The curacins are a group of mixed polyketide nonribosomal-peptide compounds with cytotoxic activity against several mammalian cancer cell lines (17, 32, 61, 62). Like many of the bioactive compounds identified from Lyngbya spp., the curacins and microcolins have been studied for their pharmaceutical and biotechnological applications, but very little is known about their ecological impacts on marine environments. Although ecological activities of the dragonamides and curacins have not yet been demonstrated, it is likely that the compounds have an impact on sympatric species, including grazers, potentially altering the landscape of the reef habitat.
Although it was very similar in 16S rRNA gene sequence to Lyngbya bouillonii from Guam (accession number AF510970), L. majuscula from Jamaica (accession number AY599503), and L. majuscula from Panama (accession number AY599502), the curacin-producing Lyngbya sp. strain B in this study was morphologically distinct from these other strains, including the curacin-producing strain from Curaçao. It had thinner filaments, a longer cell length, a larger ratio of cell length to width, and thicker sheath than described for the Curaçao strain (15). None of these strains fit the morphology typical of L. majuscula with short cells 2 to 4 µm in length (16, 30). Sequence analysis of Lyngbya sp. strain A suggests that it is most closely related to L. majuscula from Guam (AF510976) and Oscillatoria nigroviridis (EU244875). Trichome width and cell length measurements of Lyngbya sp. strain A filaments were similar to those of L. cf. confervoides from Guam (AF510980) (59), but interestingly, the Lyngbya sp. strain A samples from this study have thinner trichomes than L. majuscula from Guam but have similar cell lengths (15).
Some of the compounds identified in L. cf. confervoides are protease inhibitors, which are widespread among cyanobacteria and are commonly regarded as digestion inhibitors due to their ability to inhibit trypsin and/or other digestive enzymes (3). Similar structures are found in taxonomically diverse cyanobacteria present in both freshwater and marine habitats, suggesting either an ancient biosynthetic origin for this class of compounds or horizontal gene transfer. For example, lyngbyastatins 4 to 6, pompanopeptin A, and largamides D to G are closely related to cyanopeptolins, planktopeptins, oscillapeptins, and scyptolin A, all of which are serine protease inhibitors from freshwater cyanobacteria (reviewed in reference 28). Pompanopeptin B is an analogue of the anabaenopeptins (37), the second prevalent class of cyanobacterial cyclopeptides from freshwater sources. Protease inhibitors in Microcystis spp. are often cosynthesized with microcystins and may enhance microcystin activity (39) or induce expression of the microcystin (mcy) gene cluster (52). Recently, it has been demonstrated that protease inhibitors have a significant ecological impact, controlling cyanobacterial population density and blooms by triggering viral lysis of cyanobacteria (52, 53).
Molecular detection of biosynthetic genes, commonly used to screen for the hepatotoxic microcystins and nodularins in freshwater cyanobacteria (reviewed in reference 47), is a powerful approach for documenting and tracking the potential for toxin production in the environment. Here, we present the first application for screening benthic marine cyanobacteria for secondary metabolite biosynthesis. Molecular surveys with PCR primers targeting curacin biosynthetic genes show that each of the Lyngbya sp. strain B samples collected from Fort Lauderdale reefs possesses homologues to major genes of the curacin biosynthetic cluster. HPLC and NMR showed that two out of the three Lyngbya sp. strain B samples produce curacin D. Although there was an insufficient amount available for chemical analysis of the third sample (8 June 2007), the presence of the curacin biosynthetic cluster in that sample indicates the capacity to produce curacin D. Other collections from the same site, which were previously thought to be a different color morph of the same species, possess neither the curacins nor a full suite of curacin biosynthetic genes, demonstrating that at least some of the chemical diversity in Lyngbya in the Fort Lauderdale reefs has a genomic basis and is not simply the product of shifting biosynthetic gene expression over time or in response to varying environmental conditions. This is consistent with previous findings on polychlorinated peptide production by the symbiotic cyanobacterium Oscillatoria spongeliae in the sponge Dysidea herbacea. Biosynthetic genes for the bioactive peptides are absent from O. spongeliae genomes in the populations of D. herbacea that do not possess polychlorinated peptides (15).
Several morphological species (including L. majuscula and L. cf. confervoides) are represented in multiple, genetically distinct clades in our molecular phylogeny, illustrating a common difficulty in studies that combine morphological and molecular phylogenetic approaches to cyanobacterial taxonomy. This pattern could reflect a combination of high morphological plasticity and relatively high conservation of 16S rRNA gene sequences or the reverse, low morphological plasticity combined with high rRNA gene sequence variability. Other molecular markers can be used to characterize closely related cyanobacteria and increase fine-scale phylogenetic resolution, including the 16S-23S rRNA internal transcribed spacer region (14, 55). The use of such markers is recommended for future identification of cyanobacteria from environmental samples. Proper characterization of cyanobacteria, combining morphology and sequence analysis for identification, is critical for improving our understanding of the global patterns of natural product biosynthesis in the marine environment and will further clarify the relationship between biodiversity and chemical diversity within the Oscillatoriales.
In previous studies, Lyngbya spp. have been compared from several sites, spanning free-living and symbiotic strains from a wide range of locations (46, 59). Classification based on morphological characteristics, 16S rRNA gene sequence, and secondary metabolite traits has demonstrated a tremendous level of morphological plasticity and chemical diversity within the species L. majuscula, suggesting that a combination of environmental factors and genomic differences controls the production of bioactive compounds in Lyngbya (59). In this study, however, we characterized diversity among Lyngbya samples from a single site. Variations in morphological traits, 16S rRNA gene sequences, and bioactive compound profiles among the Lyngbya samples were congruent, suggesting a stronger genetic influence on compound production and a weaker environmental impact on biosynthetic gene expression. Additional studies on the environmental factors that may drive changes in Lyngbya community composition and secondary metabolite production are clearly needed to understand the mechanisms that ultimately control the distribution and diversity of cyanotoxins on coral reefs.
The authors gratefully acknowledge use of NMR spectrometers at Harbor Branch Oceanographic Institute at Florida Atlantic University and the Advanced Magnetic Resonance Imaging and Spectroscopy facility in the McKnight Brain Institute of the University of Florida through the External User Program of the National High Magnetic Field Laboratory (supported by the National Science Foundation). The 600-MHz 1-mm triple-resonance HTS cryogenic probe was developed through collaboration between the University of Florida, the National High Magnetic Field Laboratory, and Bruker Biospin. A portion of the molecular analysis was facilitated by the infrastructure and resources provided by NIH CFAR core grant P30 AI27767 to the University of Alabama at Birmingham. Raphael Ritson-Williams, Sherry Reed, Woody Lee, and Antonio Baeza from the Smithsonian Marine Station and Ken Banks and Lou Fisher from the Broward County Department of Planning and Environmental Protection assisted with collections of Lyngbya spp. on Broward County reefs. We are grateful to Raphael Ritson-Williams for use of his photographs of Lyngbya spp. in situ. Diane Littler provided helpful advice on the taxonomy of Lyngbya spp. We thank Jeff Hunt and Lee Weigt at the National Museum of Natural History, Laboratories for Analytical Biology, for DNA sequencing. Many thanks to William Gerwick and Niclas Engene for sharing morphological data on previously collected L. majuscula strains.
This is Smithsonian Marine Station at Fort Pierce contribution no. 774.
Published ahead of print on 6 March 2009. ![]()
Present address: Ocean Genome Legacy Foundation, New England Biolabs, 240 County Rd., Ipswich, MA 01938. ![]()
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