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Departamento de Biología, Facultad de Ciencias, Universidad Autónoma de Madrid, 28049 Madrid, Spain
Correspondence
Pilar Mateo
pilar.mateo{at}uam.es
| ABSTRACT |
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The GenBank/EMBL/DDBJ accession numbers for the 16S rRNA and cpcBA-IGS gene sequences determined in this study are EU009142–EU009154 and EU009155–EU009172, respectively.
A figure showing a multiple sequence alignment of PC-IGS of cyanobacterial genera is available as supplementary material with the online version of this paper.
| INTRODUCTION |
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Many authors have stressed that traditional morphological characteristics must be integrated with genetic characterization (polyphasic approach), and interpreted both within and between taxa, to resolve taxonomic issues (Wilmotte, 1994
; Komárek & Ka
tovsk
, 2003
; Garcia-Pichel et al., 2001
; Castenholz & Norris, 2005
; Taton et al., 2006
). Molecular genetic approaches have been developed that have the potential to resolve relationships between closely related cyanobacteria. The sequences of the rRNA genes have been used successfully to aid morphological taxonomy. However, at the intrageneric level the rRNA (16S rRNA) gene sequences have demonstrated little clearly interpretable variation among several strains of cyanobacteria (Fox et al., 1992
; Moore et al., 1998
). An alternative to the use of conserved 16S rRNA genes is to examine intergenic spacer regions which usually show considerably more variation, for example the intervening intergenic spacer of the c-phycocyanin (PC) genes cpcA and cpcB (cpcBA-IGS) (Neilan et al., 1995
; Bolch et al., 1996
).
In this work we have adopted a polyphasic approach to examine natural freshwater (rivers or streams) samples of Rivularia colonies and isolated strains of cyanobacteria with a high degree of tapering (genera Rivularia and Calothrix). We examined the samples by microscopy and analysed the 16S rRNA gene sequences and the PC operon and the intervening intergenic spacer (cpcBA-IGS). In addition, a molecular fingerprinting method, temperature-gradient gel electrophoresis (TGGE), which allows sequence-dependent separation of PCR products (Muyzer & Smalla, 1998
), was used to assess genotypic diversity in environmental samples and isolated strains.
| METHODS |
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Morphological characterization.
Morphological observations of environmental Rivularia colonies and isolated strains were made using a dissecting microscope (Leica; Leica Microsystems) and an Olympus BH2-RFCA photomicroscope equipped with phase-contrast and video camera systems (Leica DC Camera; Leica Microsystems). The key features taken into consideration for the identification and differentiation of natural samples and isolates were: the environment (freshwater or marine and brackish water), the colony or thallus (hemispherical colonies, solitary trichomes or their groups), calcification (abundant, moderate or slight, absent), texture (hard, soft or gelatinous), section of colony (marked zonation, little or no zonation), the filaments (arrangement of trichomes, heteropolarity, hairs, width of trichomes), morphology of sheaths (colour and lamellations), type and frequency of false branching and development of falsely branched filaments (divided trichomes and young filaments within common old sheaths or not, thus secondary trichomes remaining or not remaining in the mother sheath), according to traditional criteria (Geitler, 1932
; Whitton, 1987
, 2002
; Komárek & Anagnostidis, 1989
).
Isolation of genomic DNA.
Total genomic DNA from isolated cultures or frozen field samples was extracted following a modification of a technique for isolating DNA from fresh plant tissue, using cetyltrimethylammonium bromide (CTAB) (Doyle & Doyle, 1990
). Cells were harvested by centrifugation after the addition of about 150 µl of sterile glass beads (212–300 µm; Sigma) and resuspended in 400 µl extraction buffer [100 mM Tris/HCl, pH 8.0, 20 mM EDTA, 2.5 % (w/v) CTAB, 1.4 M NaCl, 0.2 % (v/v) 2-mercaptoethanol]. Samples were frozen in liquid nitrogen and then homogenized in extraction buffer using a hand-operated homogenizer (Bosch, CSB-850-2RET). Subsequently, they were incubated at 60 °C for 30 min, followed by two extractions with chloroform. DNA-containing phases were placed in new tubes and an equal volume of 2-propanol was added. The samples were centrifuged at 12 000 g for 5 min. The pellet was resuspended in 400 µl sterile water and DNA was precipitated again by addition of 0.1 volumes of 3 M sodium acetate and two volumes of ethanol before being stored at –20 °C in 15 µl sterile water.
PCR amplification and cloning of the PC-IGS region: design of specific primers.
PCR amplifications were performed with a Perkin-Elmer GeneAmp 2400 PCR system. The reaction volume was 25 µl and contained 6 µl genomic DNA, 10 pmol of each primer, 200 µM dNTP, 1 µg BSA, 1.5 mM MgCl2, 2.5 µl 10xpolymerase buffer, 5 µl 5xEppendorf Taqmaster PCR-enhancer and 0.75 U Ultratools DNA polymerase (Biotools). Primers PCβ (forward primer) and PC
(reverse primer) were adopted initially using the conditions described by Neilan et al. (1995)
. As amplification of the DNA was not successful, and not enough DNA for direct sequencing was obtained, PCR products were cloned using a Qiagen PCR Cloningplus kit. Recombinant clones carrying the correct-sized insert were sequenced in both strands. Subsequently, the primers RivF (5'-TGGAAATCATCTTGCGCTATGT-3') and RivR (5'-CACCAGCAACTAAACAGTA-3') were deduced from the alignment of the sequences obtained and were used to amplify this region. PCR consisted of initial denaturation at 94 °C for 5 min, 30 cycles at 94 °C for 1 min, 52 °C for 1 min and 72 °C for 1 min, followed by a final extension at 72 °C for 10 min. The concentration of the amplified products was checked on a 1.5 % agarose gel and the products were purified using the Real Clean Spin kit (Real).
PCR amplification of the 16S rRNA gene.
To amplify the 16S rRNA gene segments, two sets of cyanobacteria-specific primers were used, as described by Nübel et al. (1997)
and Wilmotte et al. (2002)
. This produced fragments of about 700 and 1400 bp, respectively. The reaction conditions used were those described by Nübel et al. (1997)
. The PCR product was quantified as described above for the PC-IGS region.
Sequencing.
DNA sequencing was performed and analysed by using the chain-termination method with the DyeDeoxy terminator cycle sequencing kit protocol, following the manufacturer's instructions (Applied Biosystems). The sequences were obtained for both strands independently.
TGGE analysis of PC-IGS PCR products.
TGGE Maxi System (Biometra) was used for sequence-specific separation of PCR products. A 23-nucleotide GC-rich sequence was attached to the 5'-end of the forward primer to improve the detection of sequence variation in the amplified DNA fragments by subsequent TGGE (Sheffield et al., 1989
). Electrophoresis was performed by loading 6 µl of PCR product in a gel containing 5 % acrylamide/bisacrylamide, 8 M urea, 2 % glycerol, 20 % formamide and 1 % TAE, as described previously (Rodríguez et al., 2007
), with a gradient ranging from 40 to 51 °C. The gels were then stained following a routine silver-staining protocol (Sanguinetti et al., 1994
) and photographed using a Nikon Coolpix 995 digital camera.
Analysis of sequence data.
Nucleotide sequences obtained from DNA sequencing were compared with sequence information available in the National Center for Biotechnology Information database using BLAST (http://www.ncbi.nlm.nih.gov/BLAST). Multiple-sequence alignment was done with all partial and complete sequences using the CLUSTAL_X package (Thompson et al., 1997
). Alignments were corrected manually using GeneDoc version 2.6.002 (Nicholas & Nicholas, 1997
). Trees based on the cpcBA-IGS and 16S rRNA gene were constructed using the neighbour-joining (NJ) and maximum-parsimony (MP) algorithms (Saitou & Nei, 1987
) in MEGA 3.1 (Kumar et al., 2004
). Distances for the NJ tree were estimated by using the algorithm of Tajima & Nei (1984)
and nucleotide positions containing gaps and missing data were considered. The parameters (base frequencies, substitution rate matrix of types and shape of gamma distribution) were estimated from the data. Bootstrap analysis of 1000 replications was performed for each consensus tree (Felsenstein, 1985
). Similar clustering was obtained with the NJ and MP algorithms, so we have chosen to represent the PC sequence relationships with the neighbour-joining tree (696 bp). In the case of the ribosomal operon, complete sequences (Escherichia coli positions 27–1494) were determined (on both strands) for at least one representative genotype. However, because we also generated 16S rRNA gene fragments from about 700 to 1400 bp (except one of about 400 bp), and there are many short sequences in GenBank/EMBL/DDBJ, we constructed several trees with partial as well as complete sequences. Since similar clustering was obtained by using both NJ and MP methods with our complete and database complete sequences, we represented the NJ tree (461 bp, E. coli positions 362–823) in order to include genetically closely related but partial Calothrix sequences from GenBank/EMBL/DDBJ.
| RESULTS AND DISCUSSION |
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A more detailed study was carried out to assess the influence of the medium on morphological variability of Rivularia on agar plates. Three different types of media were selected in order to have a wide range of nutrient concentrations: CHU10-modified was selected as a very low nutrient and salt content medium (0.2 mg phosphorus l–1), BG110 (
5 mg phosphorus l–1) and AA as a very high nutrient concentration medium (
60 mg phosphorus l–1). When a single colony of Rivularia was homogenized and aliquots were spread on agar plates of these media, differences in growth and morphology became apparent (Fig. 3
). In CHU10 low-phosphorus medium, typical hemispherical colonies grew after about 2 months (Fig. 3a
). In BG110, filaments were spread all over the surface, similar to Calothrix cultures (Fig. 3b
). Finally, Rivularia was unable to grow in the AA medium with very high nutrient concentrations (Fig. 3c
).
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All these results appeared to indicate that isolated strains BL1, BL2, E1, E7, MA8, MU15 and MU24 belong to the traditional Rivularia genus, and that strains E17, MU27, MU28, MU41 and TJ12 belong to the traditional Calothrix genus. However, it has been reported that some cyanobacteria possess two or three PC operons (Mazel et al., 1988
; Dubbs & Bryant, 1993
; Golden, 1995
) that are differentially expressed under different growth conditions. In this way, it is possible that our strains possess two or three operons, only one of which we have sequenced. This could give rise to misleading conclusions about the taxonomy.
Molecular fingerprinting analysis – TGGE
In order to evaluate the possibility suggested above, TGGE was carried out on the basis that PCR fragments of the same size but different sequence could be separated (Muyzer & Smalla, 1998
). For the TGGE analysis, we cloned specific sequences from strains or colonies (confirmed by sequencing) as markers corresponding to the three genotypes found. PCR products for each genotype were cloned in commercial vectors to ensure that, as only one fragment could be inserted in the vector, only one copy would be resolved on the gel. The high sequence variability among the three genotypes gave rise to three clearly separated bands that allowed us to characterize each genotype by its corresponding fingerprint (Fig. 4a, b
). TGGE analysis of the isolated strains revealed only one band for each culture, and this band was consistent with the corresponding fingerprint (Fig. 4a
).
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This heterogeneity in colonial structure and trichome features is mirrored by a corresponding genetic diversity in TGGE analysis. In many samples, the colonies presented at least two distinct bands (Fig. 4b
). Colonies collected from Red Sike and the Alharabe river, which were clearly of the R. biasolettiana type, presented a profile corresponding to genotype III. Colonies from the Endrinales river, which were typical R. haematites with very high calcification and with distinct zones inside, mainly displayed the band pattern corresponding to genotype I, although another band corresponding to genotype II could also be found. Colonies from the river Blanco presented two clear bands corresponding to genotypes I and III, similar to a colony from Matarraña river, but the other colony from the same river displayed a different profile with genotypes II and III. Two colonies from the river Muga shared a similar pattern that corresponded to genotype III, although a blurred band corresponding to genotype II could be observed (Fig. 4b
). These results indicate that there may be genetic diversity even within a colony. In addition, we cannot rule out the possibility that other trichomes that are sometimes found in the colony, such as those for Calothrix (Fig. 1o
), can be amplified by PCR of colonies. This would correspond to genotype II, which appears as blurred bands on gels (Fig. 4b
).
Phylogenetic analysis of the 16S rRNA gene and cpcBA-IGS sequences
Similar results were found in the phylogenetic analysis of the 16S rRNA gene and PC operon sequences, whereby there was a distinct clustering of the three genotypes (Figs 5
and 6
). To determine the phylogenetic position of the rivulariacean-type within the cyanobacterial radiation, the 16S rRNA gene sequences obtained in this study in conjunction with the recently published sequences of Rivularia and other Calothrix from GenBank/EMBL/DDBJ were compared with those of representatives of other genera of Nostocales, i.e. strains of the genera Tolypothrix, Nostoc, Nodularia, Cylindrospermopsis, Anabaena and Aphanizomenon, and also some distantly related cyanobacteria, such as strains of Chroococcidiopsis and Oscillatoria (Fig. 5
). The rivulariacean-type sequences from this study and those from the database (except some Calothrix strains from the database) formed a cluster, separate from other cyanobacteria. This cluster was divided into three subclusters (A, B, C) in which genotypes II, I and III, respectively, were included. Clusters D, E, F and G contained, respectively, the genera Tolypothrix, Nostoc, Nodularia and Cylindrospermopsis. Anabaena and Aphanizomenon were grouped together in cluster H, as found previously (Gugger & Hoffmann, 2004
; Rajaniemi et al., 2005
).
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The highly supported cluster B contained sequences of strains, and a field Rivularia colony from Red Sike, from this study, corresponding to genotype I, which shared high 16S rRNA gene sequence similarity (98.8–100 %). These findings suggest that cluster B represents a novel evolutionary branch which has not been characterized previously.
Cluster C comprised sequences of the genera Calothrix and Rivularia, and included the sequence of a R. biasolettiana type from the river Alharabe corresponding to genotype III of this study. Our Rivularia sequence showed a maximum sequence similarity of 99.9 % (1384 bp) with Rivularia atra BIRKRIVI, but 99.2 % with the other R. atra sequence (strain BIRMGR1), and a minimum of 97.3 % similarity with Rivularia PCC 7116. The most divergent sequence in cluster C was that of Rivularia PCC 7116, ranging from 96 to 97.5 % similarity.
In the cpcBA-IGS tree (Fig. 6
), the nine sequences from natural Rivularia colonies and isolated strains from calcareous rivers corresponding to genotype I formed one cluster (eight of them are shown in Fig. 6
), the five sequences from isolated strains from calcareous and siliceous rivers corresponding to genotype II formed a second cluster (three of them are shown in Fig. 6
), and the four sequences from Rivularia colonies and a single isolated strain from calcareous rivers formed a third cluster (Fig. 6
). Genotypes I and II clustered together in one group that was well supported by high bootstrap values. However genotype III was distant, consistent with the highest recorded percentage variability.
Strain and field sample sequences corresponding to genotypes I and II from this study always clustered together, regardless of the method used to generate the tree and the gene analysed, suggesting that they were closely related. In contrast, PC operon analysis appeared to indicate that they belong to different genera. However, it has been pointed out that the phylogeny of the PC-IGS locus must be treated with care when attempting to deduce organismal phylogenies because the locus displays a complex evolutionary pattern (Manen & Falquet, 2002
; Janson & Granéli, 2002
). In our study, 16S rRNA gene and cpcBA-IGS data are clearly in agreement. Sequence similarity between genotypes I and II ranged from 93.3 to 94.3 % in the 16S rRNA gene phylogenetic analysis. A threshold of 95 % 16S rRNA gene sequence similarity has been suggested for the definition of a genus (Ludwig et al., 1998
). Based on this definition, the evolutionary distances of this study confirmed the genotypes to represent separate genera, as the PC operon analysis had previously suggested. Taken together the morphological, phylogenetic and fingerprinting results, we can conclude that genotype I corresponds to the traditional genus Rivularia and genotype II to the traditional genus Calothrix.
The taxonomic status of the genus Calothrix has been discussed widely (Whitton, 1989
; Komárek & Anagnostidis, 1989
; Wilmotte & Herdman, 2001
; Rippka et al., 2001b
). Phylogenetic analysis of 16S rRNA gene sequences, and relationships between strains of the genus Calothrix deduced from DNA–DNA hybridization results (Lachance, 1981
) demonstrated a high genetic diversity in this genus (Wilmotte & Herdman, 2001
; Rippka et al., 2001b
). Recently, great sequence variability of the 16S rRNA gene has been found among Calothrix strains from the Baltic Sea (Sihvonen et al., 2007
), suggesting that they belong to at least five different genera. Hongmei et al. (2005
) showed that a single morphotype of Calothrix in thermophilic cyanobacterial mats comprised five different 16S rRNA genotypes. The tree topology obtained from phylogenetic analysis of cyanobacterial 16S rRNA gene sequences in our study was in agreement with that of Sihvonen et al. (2007)
and supported the idea that members of the genus Calothrix are polyphyletic and should be divided into several different genera.
Regarding the genus Rivularia, the sequences from this study and those from GenBank/EMBL/DDBJ showed great variability and were clearly not monophyletic. Morphological, sequencing and TGGE fingerprinting analysis showed that environmental Rivularia colonies were phenotypically and genotypically heterogeneous. It has been discussed whether R. haematites and R. biasolettiana are ecoforms of the same species or are different taxa (Kann, 1977
). In contrast, Zehnder (1985)
, who worked with Rivularia cultures, concluded that R. biasolettiana, isolated from Lake Erken in Sweden, and R. haematites, isolated from a small creek in Switzerland, represented two distinct species. Whitton (2002)
pointed out that R. haematites merges with R. biasolettiana, from which it differs only in the very high calcification and distinct zones.
Our results suggest that genotype I corresponds to traditional R. haematites and genotype III to traditional R. biasolettiana, and that sometimes clear traditional phenotypic types can been found that correspond to these genotypes. However, an ambiguous morphology can often be observed, which probably corresponds to the genetic diversity found within a single colony, as suggested previously by Whitton (1987)
. It has been pointed out that the colonies of some genera, such as Rivularia, are typically formed by the aggregation of a number of hormogonia (Whitton, 1987
; Whitton & Potts, 2000
). Darley (1967),
during a laboratory study of marine Rivulariaceae, found that hormogonia would only develop when a large quantity was inoculated simultaneously. In our study, morphological and genetic analysis suggested that representatives of both genotypes could be found in the same place. Thus, if the hormogonia involved in the aggregation are genetically homogeneous, the resulting colony will be dominated by one genotype, such as genotype III in the R. biasolettiana type, or genotype I in the R. haematites type. However, colonies formed by aggregation of genetically heterogeneous hormogonia will develop the genetic diversity found in this study. This also explains why phenotypically similar colonies collected at the same time from the same place had different genotypes (e.g. Rivularia colonies from Red Sike showing genotype III in the PC operon tree but genotype I in the 16S rRNA gene sequence analysis), and why both genotypes I and III could be found in a single colony in the fingerprinting analysis (e.g. colonies from the Blanco and Matarraña rivers), whereas others only showed one band, which corresponded to genotype III (e.g. another colony from Matarraña river). These results cast doubt on the validity of using colony morphology to identify and differentiate these species of Rivularia and suggest that classification clearly requires the use of distinction criteria other than morphology.
On the other hand, it must be emphasized that, although a similar and sometimes overlapping morphology has been observed in environmental Rivularia colonies, a clear genetic divergence has been demonstrated. Genotypes I and III were clearly distinct in the two phylogenetic trees. Only a 90.6–91.1 % 16S rRNA gene sequence similarity was found between genotypes I and III, indicating that the Rivularia sequences studied may actually represent two different genera. Rippka et al. (2001a
, b
, c
) in the current taxonomic classification of Bergey's Manual of Systematic Bacteriology only include strains isolated from saline environments (intertidal zone, supralittoral shore, seawater aquarium) in the genus Rivularia, thus separating it from Calothrix by its higher salt requirement or tolerance. Sihvonen et al. (2007)
found that, in their Rivularia isolates, only the truly marine Rivularia PCC 7116 was able to grow in elevated salt concentrations, but that the Baltic Sea Rivularia strains did not require elevated salt as the brackish water of the Gulf of Finland, where most of the strains were isolated, has a salinity of about 5
. Calothrix CCMEE 5085 and Calothrix CCMEE 5093, which were also included in cluster C along with all Rivularia sequences, were isolated from a siliceous substrate of shallow, tepid (<35 °C) hot spring effluents in Yellowstone National Park with a salinity of about 1
(Dillon & Castenholz, 2003
). Our sequence in this cluster corresponds to a Rivularia from freshwater although, as it only occurs in calcareous rivers, elevated concentrations of Ca2+ could be required for its growth. It is also possible that they are euryhaline since a tolerance to desiccation has been observed. Therefore, if we maintain genotype III as Rivularia, a new genus should be invoked for the Rivularia representatives of genotype I in cluster B of our study.
These results suggest that the cyanobacteria classified in the traditional genus Rivularia diversified through evolution. A possible explanation is that the Rivularia-like morphology represents an ancestral morphology type from which other morphologies, such as Calothrix-like, have evolved. Another possibility is that filament tapering may have evolved more than once during the diversification of heterocyst-forming cyanobacteria, as suggested previously (Sihvonen et al., 2007
).
In conclusion, the genera Rivularia and Calothrix showed great heterogeneity. Rivulariacean-type isolates from this study showed considerable genetic divergence but overlapping morphologies. However, the use of a culture medium with a low level of nutrients, more closely approximating the characteristics of the rivers with Rivularia colonies, allowed us to observe Rivularia-like characteristics under laboratory conditions. All the sequences of environmental Rivularia colonies and rivulariacean-type isolates analysed fell into one of three distinct genotypes, denominated types I, II and III. On the basis of 16S rRNA gene and PC genetic analysis, these three genotypes were polyphyletic and, according to the genetic data, may actually represent three different genera. On the other hand, morphological and fingerprinting analysis showed that trichomes within single Rivularia colonies could be phenotypically and genetically different, which makes the taxonomic assessment of Rivularia even more difficult. Representatives of the genera Rivularia and Calothrix in our study and in GenBank/EMBL/DDBJ were intermixed in phylogenetic inferences and showed great genetic divergence. This supports the hypothesis that the traditional family of Rivulariaceae is one of the most diverse cyanobacterial lineages, with the implication that a revision of their taxonomy is needed.
| ACKNOWLEDGEMENTS |
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