Introduction

Arthrospira sp. (‘platensis’) is a filamentous, photoautotrophic, alkaliphilic cyanobacterium that belongs to the Family Oscillatoriaceae, Division Cyanophyta. This cyanobacterium blooms in bicarbonate-rich environments (Ciferri 1983), and has gained a significant position in recent years as a source of proteins and pigments in the food, pharmaceutical, and cosmetic industries (Ciferri and Tiboni 1985; Vonshak 1997; Mosulishvili et al. 2002).

Axenic cultures are important in genetic, biochemical, physiological and taxonomic studies. However, the use of Arthrospira spp. in biochemical and genetic studies has been limited due to the difficulties in obtaining axenic cultures (Vonshak 1997). Unialgal-free bacterial cultures are also valuable in the first step of scaling up Arthrospira (Spirulina) cultures, as undesired bacteria and cyanobacteria can grow in the same medium (Duerr et al. 1997). Worth mentioning is the example of Microcystis spp., which produces a potent hepatotoxin and potential carcinogen, called microcystin (Wang and Zhu 1996). Diverse methods of cyanobacteria purification have been described, and some of them may involve one or more steps, ranging from physical separation techniques to chemical or biochemical treatments. Some common methods are: plating procedures, growing in selective media, filtration, differential centrifugation, sonication, vortexing, dilution culture, purification by micropipetting, variation of intensity light, antibiotic treatments, toxic chemicals (e.g. germicides), ultraviolet light, gamma irradiation, heating, and rinsing, among others (Wieringa 1968; Castenholz 1970; Ogawa and Terui 1970; Carmichael and Gorham 1974; Vaara et al. 1979; Rippka 1988; Ferris and Hirsch 1991; Nola et al. 1992; Suresh et al. 1994; Kim et al. 1999; Andersen 2005; Gang-Guk et al. 2007).

There is not a single “best” purification method. Each one needs to be tailored according to the morphological and physiological properties of the contaminant and target species. Therefore, we must visualize the purification method as a “strategy” (a logic sequence of treatments that takes into account the specific properties of the contaminants and target species). Once a logical sequence is established, each step needs to be optimized.

This work presents a purification strategy composed of four optimized processing steps: (1) washing by filtration, (2) pH treatment, (3) antibiotic treatment and (4) serial dilution. These steps constitute an efficient and inexpensive methodology to obtain axenic cultures of Arthrospira spp. Other methods to obtain axenic cultures of Arthrospira spp. have been proposed (Ogawa and Terui 1970; Suresh et al. 1994; Gang-Guk et al. 2007), but they do not include a pH treatment followed by an optimized antibiotic treatment.

Although taxonomy is not the main focus of the present work, once the purification process was completed, it seemed logical to verify the identity of the strain, because there could be uncertainty about the identity of the purified strain. As was mentioned, one of the most common uses of axenic cultures is in taxonomic identification, but this use can be limited by multiple factors that impede implementation of a conventional method or technique. So it is necessary to devize a process that allows the efficient use of available techniques and data. In order to do this, the first step consists in reviewing the results obtained by other authors and evaluating the available palette of possibilities. This guides us in the building of the logical steps to identify the axenic strain obtained. In our case, the Lefevre strain underwent a morphological change (from helical to straight) and a taxonomic reclassification, which makes the identification process more difficult.

Despite A. platensis and A. maxima having been separated into two different taxonomic entities based on morphological characters and distribution, an intensive taxonomic debate is still taking place over the classification of these Arthrospira spp. (Hindak 1985; Komárek 2000; Komárek and Lund 1990; Tomaselli 1997). Strain Lefevre 1963/M-132-1 was originally identified as Arthrospira sp. (‘platensis’) and was later reclassified as Arthrospira maxima at CCALA under the designation given by Setchell et Gardner 1917.

Komárek and Lund (1990) recognize gas vacuoles as an important taxonomic character for the genus Arthrospira. In fact, Komárek (2000) distinguished in the genus Arthrospira (sensu stricto) two groups of species: benthic and periphytic species with no aerotopes in their cells (A. jenneri, A. platensis), and planktic species with gas vesicles in their cells, living in solitary trichomes (A. maxima, A. fusiformis). Mühling et al. (2006) argued against the use of this taxonomic character, because gas vacuole development in cultures may be markedly influenced by the laboratory environment. This disagreement led us to avoid the use of this taxonomic character.

Taxonomic identification of Arthrospira species is difficult because of the morphological variability under different environmental conditions. In fact, in our laboratory, Lefevre 1963/M-132-1 strain underwent a morphological shift from the usual helical shape to a linear one. The tendency to form straight trichomes is an important phenomenon that from the taxonomic point of view, has not yet been satisfactorily explained. This phenomenon had been considered for a long time as a permanent degeneration that could not be reversed (Komárek 2000; Komárek and Anagnostidis 2005; Tomaselli 1997). Nevertheless, Wang and Zhao (2005) described that under certain conditions linear filaments can revert to their original morphology.

Different analyses have been used to establish the genotypic diversity and phylogenetic relationship of Arthrospira strains (Viti et al. 1997; Scheldeman et al. 1999; Ballot et al. 2004; Baurain et al. 2002; Manen and Falque 2002; Mühling et al. 2006). Scheldeman et al. (1999) carried out an ARDRA (Amplified Ribosomal DNA Restriction Analysis) on the ITS of 37 cultivated clonal strains from four continents. Cluster analysis showed the separation of all the strains into two main clusters, with all strains closely related. Scheldeman et al. (1999) found no clear relationships between this division into two clusters and the geographic origin of the strains, or their designation in the culture collections, or their morphology.

Baurain et al. (2002) using amplification and sequencing of the whole ITS, showed a remarkable conservation of these sequences in 21 out of the 37 Arthrospira clonal strains isolated from the four continents, and grouped them into four different species (A. platensis, A. maxima, A. fusiformis, A. indica) in the culture collections (for a review on the adequate use of this tool in Cyanobacteria see Boyer et al. 2001). This same author found that the high conservation of ITS sequences is in contrast with the assignment to four different species, the great morphological variability of the strains, and their wide geographic distribution. This suggests that ITS sequences alone are insufficient to discriminate at this level. It is interesting to note that Baurain et al. (2002) also found that variants “straight” and “helical” that were isolated in clonal cultures presented identical ITS sequences (i.e., Arthrospira fusiformis, strain CCAP 1475/8). Indeed, when the dendrogram built by Scheldeman et al. (1999) is carefully examined it could be noted that the position of variants “straight” and “helical” is consistent with this fact, that is, grouped together inside the same genotypic cluster (e.g., Arthrospira sp. (‘platensis’) LAPORTE 1963/M132-2b and Arthrospira fusiformis, strain CCAP 1475/8). Those facts suggest that “straight” or “helical” morphologies do not affect the molecular taxonomy criteria used here.

Genuine Arthrospira strains have a significant proportion of γ-linolenic acid (GLA), no α-linolenic acid (ALA), a low content of 16:1 fatty acids and a very low content of 16:2 fatty acids (Cohen and Vonshak 1991; Cohen et al. 1995). Mühling et al. (2005) studied the fatty acid composition for 35 Arthrospira strains, finding that the most abundant fatty acids were two polyunsaturated C18 acids, linoleic and γ-linolenic acid, and palmitic acid. They suggested that fatty acid composition can be used as an aid in differentiating between strains. It is important to note that straight morphotypes showed a similar fatty acid composition to that of the helical morphotypes of the same strains. This allowed the use of these data even if the strain underwent a morphological change. Additionally, Mühling et al. (2006) in order to investigate the extent to which it is possible to distinguish clades of strains within the genus Arthrospira, carried out an analysis of a wide range of phenotypic characters in 33 helical and 2 straight Arthrospira strains, and compare the results with those previously obtained by molecular techniques. This approach (in the “phenotypic characters”) made a wide range of features (morphological, ultrastructural, physiological and biochemical), to converge, making it highly inclusive and comprehensive.

In Mühling’s et al. (2006) work, multivariate analysis using the simple matching coefficient resolved the 33 helical strains into two clusters (one related with A. maxima, A. fusiformis and A. indica and one with most strains designated A. platensis). It is remarkable that Mühling et al. (2006) found that phenotypic clusters showed a high correlation with the characters describing the helical trichome shape, and also to the molecular clusters of the same strains reported in the literature. Establishing this is important because it implies some level of redundancy that allows the use of morphological and molecular data depending on their availability (in the problem at hand the fact that our strain has become straight, leaving virtually no major morphological criteria available). It is important to note that due to the loss of too many features (i.e., “morphological characters” and “character states”) Mühling′s numerical analysis did not include strains with straight trichomes.

In the case that concerns us, any sequence of logical steps to clarify the identity of the strain obtained, must take into account that no correlation between characters that describe the shape of helical trichomes can be drawn, due to the strain having become straight. Instead, molecular and biochemical features should be taken into account.

Tomaselli (1997) has indicated that molecular analysis is the best way to develop an improved classification system for Arthrospira species. However, for the above reasons, we believe that the molecular approach is not sufficient and should be complemented with other approaches that can discern the true identity of the axenic strain obtained. Moreover, the use of a single approach, either of molecular, biochemical, physiological or morphological nature, could lead to erroneous or contradictory results, as is exemplified in the results and discussion sections.

In this work, we report the results of the proposed strategy of purification and the molecular-biochemical identification of the Lefevre 1963/M-132-1 strain.

Materials and methods

Strain and culture conditions

Arthrospira sp. (‘platensis’) Lefevre 1963/M-132-1 strain (collected in Chad, Natron Lake), reclassified as Arthrospira maxima, was obtained from the Culture Collection of Phototrophic Organisms (CCALA) of the Czech Republic. The strain was grown under continuous fluorescent light at 1,200 lux (Light intensity meter x-101 Lutron, Taiwan) in AO (Aiba and Ogawa) culture medium (Aiba and Ogawa 1977) at 32°C and 150 rev/min (shaker incubator 311DS Labnet, USA).

Physical and chemical treatments

The first step of our strategy for purifying Arthrospira cultures was washing by filtration. Using a 47-μm pore membrane, 20 ml of culture were washed with 1 l of sterile carbonate and bicarbonate buffer. Filaments were then suspended in 40 ml of AO medium; three suspensions of 40 ml each were made to obtain a total of 120 ml of washed culture.

The second step was pH treatment to eliminate Microcystis sp. Arthrospira cultures were subjected to four pH levels (10, 11, 12, and 13) during different periods of time (48, 72, and 96 h) to determine the optimal pH treatment. Hence, 12 different treatments were defined, and two replicates were made for each one. In each flask, 50 ml of micronutrients AO medium and 0.35 g of NaHCO3 were added; the pH was adjusted using a 5 M KOH solution, and subsequently inoculated with 5 ml of Lefevre 1963/M-132-1 strain culture (previously washed as mentioned above). Flasks were placed in the incubator shaker at 32°C and 150 rev/min, under continuous fluorescent light. When the corresponding period of time elapsed, the pH was immediately reduced to a value between 9 and 9.6 by pouring in 50 ml of carbonate and bicarbonate buffer. After that, samples from each pH treatment were microscopically examined for contaminant microorganisms.

The third step was a treatment with antibiotics to eliminate bacteria present in the culture. To determine the optimal concentrations of each antibiotic in the pool, a factorial experiment was carried out (CCRD and RSM, see the antibiotic experimental section below). The antibiotics selected to compose the pool were ampicillin, cefoxitin, penicillin G and meropenem. Successful Arthrospira cultures after pH treatment were subjected to thirty different combinations of antibiotics concentrations treatments and incubated in the dark, at 32°C and 150 rev/min for 48 h. Cultures were then washed by centrifugation (centrifuge 5424 Eppendorf, Germany) at 14,000 rev/min for10 min; pellets were suspended in 3 ml of AO medium and incubated at 200 rev/min for 1 h. Finally, they were incubated at 32°C in a growth chamber until noticeable growth of Lefevre strain was observed (2 weeks).

The final step was serial dilution, which was used to eliminate the unicellular cyanobacterium Chroococcus sp. that remained after the antibiotic treatment. The dilutions used were 1:1,000, 1:10,000 and 1:100,000.

Axenic culture verification

The purity of Arthrospira cultures was determined before and after each step of the strategy by careful microscopic examination using phase contrast illumination (Carl Zeiss Axioskop 40, Germany). The efficacy of the treatments with antibiotics was assessed by inoculation (0.1 ml of treated culture) on AO agar (glucose 1%, peptone 0.5%, yeast extract 0.3%). Bacteria FCU and filaments of Lefevre strain were counted; the latter in a Neubauer counting chamber (Hausser Brigth-Line, USA).

Antibiotic experimental design and statistical analysis

In order to obtain bacteria-free cultures of Arthrospira (after pH treatment), the optimal concentrations of the antibiotics that composed the pool were obtained by using Response Surface Methodology (RSM) (Montgomery 1997; Myers and Montgomery 2002). Ampicillin, cefoxitin, penicillin G and meropenem were the antibiotics composing the pool, and their concentrations were the independent variables or factors. The experimental design was a Central Composite Rotatable Design (CCRD) completely balanced. CCRD involves outlining the concentration composition of the pool around a central combination, and subsequently used to develop the regression model. The design consists of a 24 factorial (four—factor—two—level pattern) with 30 runs, 16 factorial combination points, 6 centre points and 8 axial or star points (see Table 1). The intermediate level (0) constitutes the centre point and the high (+2) and low (−2) levels constitute the axial or star points. Response variables were bacteria number (c.f.u.) and Lefevre strain filaments number. To find the relationship between the response and the independent variables, a second order model (regression equation) was used:

$$ Y = \beta_{0} + \sum\limits_{i = 1}^{k} {\beta_{i} X_{i} } + \sum\limits_{i = 1}^{k} {\beta_{ii} X_{i}^{2} + \sum\limits_{i < j}^{k} {\sum {\beta_{ij} X_{i} } X_{j} + \varepsilon .} } $$
(1)

where X 1, X2, X 3X k are the independent variables which affect the response Y, β0, β i , β ii and β ij (i = 1 − k, j = 1 − k) are regression coefficients, and ε is the random error. Analysis of variance was used to check the adequacy of the experimental design and optimization of the response variables. “SAS 9.1” and “Design Expert 7.1” software were used for the statistical analysis.

Table 1 Experimental design (CCRD) with codes and variables used to optimise the concentration of antibiotics used to obtain bacteria-free cultures of Arthrospira sp. (‘platensis’)

Identification process

A two-step identification process was designed, based on the literature reviewed (see Introduction) and the current characteristics of the Lefevre 1963/M-132-1 strain. In the first step we sequenced a 1,948 bp DNAfragment comprising the ITS region (including part of 16S rRNA, tRNA Ile, tRNA Ala and part of 23S rRNA region) and compared it with homologous DNA sequences deposited in GenBank database. The second step was determining the Lefevre 1963/M-132-1 strain fatty acid composition and comparing it with the data and criteria previously obtained by other authors. These two steps are described in detail below.

DNA extraction and molecular identification

For total DNA extraction, approximately 1.5 ml cell suspension of the axenic Arthrospira culture was concentrated by centrifugation at 11,000 rev/min for 15 min (model 5429 Eppendorf, Germany). The pellet was stored at −20°C overnight, and subsequently defrosted and centrifuged at 11,000 rev/min for 7 min. DNA was extracted according to Wu et al. (2002). The molecular identification of Lefevre strain was carried out by PCR amplification and sequencing of the ITS region (including part of 16S rRNA, tRNA Ile, ITS, tRNA Ala and part of 23S rRNA region) using CYA106F (5′-TAACACATGCAAGTCGAA-3′) and 23S5′R (5′-TCTGTGTGCCTAGGTATCCACCGTT-3′) primer pairs (Ballot et al. 2004). PCR was performed according to Ballot et al. (2004). The obtained PCR products were purified using an AccuPrepR PCR Purification Kit (Bionner, Korea) and sequenced with an ABI Prism™ 310 Genetic Analyzer (Applied Biosystems), using the following primers: CYA106F, 23S5′R, F3 (5′-GTGTAGCGGTGAAATGCGTAGA-3′), 683R (5′-TCTACGCATTTCACCGCTACAC-3′), R4R (5′-TACGGCTACCTTGTTACGAC-3′), and 16S3′F (5′-TGTGGCTGGATCACCTCCTT-3′). Nucleotide sequence edition and analysis were performed using ChromasPRO Version 1.49, and DNASTAR (DNASTAR, Inc., UK), BLASTN (Altschul et al. 1997) and FASTA (Pearson and Lipman 1988).

Extraction and quantification of fatty acids

Lipid extraction was done according to Bligh and Dyer (1959). The derivatization of fatty acids was done according to Sato and Murata (1988) and analysed using a Hewlett-Packard (series G1800B) gas chromatograph-mass spectrometer (GC-MS) equipped with Omegawax TM250 fused-silica column (Supelco) of 30 m × 0.25 mm external diameter × 0.25 um internal diameter. The fatty acids found in the samples were identified by comparing the mass spectra with those contained in the NIST98, NBS75K mass spectral library and in the database created with 28 fatty acid methyl ester standards (Sigma Chemical Company). Additionally, the identification of the fatty acids was confirmed by comparing the retention time of the samples with those registered for a commercial mixture of polyunsaturated fatty acid methyl esters (Sigma). The fatty acid content was calculated and expressed as percent of total fatty acids. The content (% total fatty acids) of palmitic, linoleic, and γ-linolenic acids were coded with the same criteria used by Mühling et al. (2006) for this “character state”. That is, a value “0” was assigned when palmitic, linoleic or γ-linolenic content was ≤46%, ≤17%, or ≤26%, respectively, or a value “1” otherwize; this with the purpose of comparing with Mühling’s results.

Results and discussion

In order to design a strategy for purification, we performed a preliminary microscopic study of microorganisms present in Arthrospira sp. (‘platensis’) cultures maintained in our laboratory. A low proportion of ciliated protozoan populations, high proportion of bacteria, and two additional cyanobacteria (taxonomically identified as Microcystis sp. and Chroococcus sp.) were observed (Fig. 1a). Based on these observations, we designed a strategy for selective elimination of the contaminant bacteria, cyanobacteria and protozoan. To obtain the axenic culture, the first step planned was washing, since that significantly reduces the population of microorganisms smaller than Arthrospira filaments. The second step was pH-treatment to eliminate protozoan and Microcystis sp. (time and pH were used to optimize this step, see Table 2). Arthrospira (Spirulina) spp. can live in extremely alkaline environments, up to approximately pH 12 (Ciferri 1983), while most microorganisms cannot resist these conditions (due to osmotic shock and cell lysis); consequently, a pH treatment was an obvious choice. The desired pH levels were tuned using potassium hydroxide (KOH) due to its strong inhibition of Microcystis sp. growth (Parker et al. 1997). The treatment at pH 12 for 72 h was found to be the most effective because no protozoa or Microcystis sp. were observed in the treated culture (Fig. 1c). Even though, pH 12 for 96 h also eliminated protozoa and Microcystis sp., few filaments of Arthrospira were observed and its population was significantly smaller than Chroococcus sp. (Fig. 1b). Lower pH levels (10 or 11) or treatments shorter than 72 h did not eliminate contamination due to these microorganisms, and a higher pH of 13 killed Lefevre strain (see Table 2). Based on these findings, we decided to apply a pool of antibiotics that were selected to eliminate bacteria that survived the pH treatment. Furthermore, to obtain the optimal concentration of the selected antibiotics, a statistical experiment (CCRD) was designed and conducted. The chosen antibiotics (ampicillin, cefoxitin, penicillin G and meropenem) are potent β-lactams that inhibit cell wall synthesis of bacteria, especially in Gram-positive organisms. The β-lactam ring strongly binds to transpeptidases PBPs (penicillin-binding proteins), inhibiting the final cross-linking reactions of peptidoglycan synthesis during cell wall formation (Madigan et al. 1997). The antibiotic-PBP complex also stimulates autolysin liberation that digests the existing cell wall (Donowitz and Mandell 1988).

Fig. 1
figure 1

Light micrographs (phase contrast) of Lefevre strain cultures at different steps of the purification strategy; a colonies of Microcystis sp. present after the washing step; b Chroococcus sp. present after pH treatment for 92 h; in this case, if Lefevre strain survived, its population was significantly smaller than Chroococcus sp. c bacteria present after pH treatment for 72 h; in this case the population of Lefevre strain was significantly larger than Chroococcus sp., which did not appear under this magnification, indicating that its concentration was low; d Axenic culture of Lefevre strain after antibiotic treatment and serial dilution. Scale bar 15 μm

Table 2 Results of pH treatments: microorganisms present or absent in Arthrospira sp. (‘platensis’) cultures after each combination of time and pH

The results of the CCRD experiment showed that treatments 6, 8, 13, 14 and 19 allowed the growth of Arthrospira (see Fig. 2), but only treatments 8 and 14 produced bacteria-free cultures. For all the antibiotic treatments, Arthrospira showed a lag phase of approximately 16 days, indicating that the antibiotics also affected the cyanobacterium. This behaviour was expected, because Arthrospira also synthesizes a peptidoglycan layer. However, the effect of these antibiotics on this cyanobacterium was expected to be less pronounced than on bacteria, given that Arthrospira has a multilayer cell wall (similar to Gram-negative bacteria surrounded by a mucilaginous cover) and longer generational time than bacteria.

Fig. 2
figure 2

Number of bacteria (c.f.u.) and Lefevre strain filaments after the antibiotic treatments (24 Factorial CCRD experiment)

Lack of variance homogeneity in the data was related to the relatively small number of treatments that presented bacterial or Arthrospira growth. Therefore, a raw data transformation was applied for the number of bacteria to fulfil the assumption of variance homogeneity. The variance analysis (ANOVA) for the antibiotic effect on bacteria indicated that the model used is significant (p-value 0.0482). It also showed that cefoxitin is the antibiotic that presented a significant effect on bacteria (p-value 0.00062). Based on this analysis, the regression equation obtained was (Eq. 2)

$$ {\frac{1}{{\sqrt[{10}]{{ ( {\text{number of bacteria}} + 1 1 , 4 0 0}})^{2,36} }}} = 2.08 \times 10^{ - 11} - 1.94 \times 10^{ - 19} X_{1} + 1.26 \times 10^{ - 13} X_{2} - 6.29 \times 10^{ - 14} X_{3} + 1.94 \times 10^{ - 19} X_{4} $$
(2)

where, X 1, X 2, X 3 and X 4 are the independent variables corresponding to ampicillin, cefoxitin, penicillin G and meropenem concentrations, respectively. The equation shows that the coefficient for cefoxitin (X 2) is positive (+1.26 × 10−13). Note that the data transformation is an inverse function; therefore, the real effect of cefoxitin on bacterial growth is negative. These results are in agreement with the following facts: (1) bacteria present in Arthrospira spp. cultures are diverse but have a prevalence of Gram-negative rods (Ogawa and Terui 1970); (2) Cefoxitin is an extended-spectrum antibiotic with major effects on Gram-negative bacteria (Page 1992); (3) Even though cefoxitin has the same action mechanism as penicillin, its different molecular structure makes it more resistant to β-lactamases and substances that destroy the β-lactam ring, extending its activity without becoming easily degraded.

The results of this experiment indicate that the optimal concentration of each antibiotic (in the pool) to obtain bacteria-free cultures of Arthrospira are: ampicillin 61.6 μg/ml, penicillin 85.8 μg/ml, cefoxitin 76.9 μg/ml, and meropenem 38.9 μg/ml. In order to test this set of optimal concentrations, the pool was applied to Arthrospira cultures, in triplicate, previously pH-treated (pH 12 for 72 h), and bacteria-free cultures were obtained for all the replicates. However, after the optimal antibiotic treatment was applied, a very low proportion of the cyanobacterium Chroococcus sp. was present in the cultures. This cyanobacterium has a thick sheath and intrinsic characteristics that makes it resistant to adverse conditions such as desiccation, high temperature, high and low pH levels and chemicals. Therefore, serial dilutions were used to eliminate it. The dilution of 1:10,000 was effective to discard Chroococcus sp., and axenic cultures of Arthrospira sp. (‘platensis’) Lefevre 1963/M-132-1 strain were successfully obtained (Fig. 1d).

Once the axenic culture was obtained, we proceeded to carry out a molecular identification. The size of the DNA sequence obtained was 1,948 bp (GenBank Accession number FJ798612.1) and was compared against the GenBank (NCBI) database. The results showed that A. platensis (GenBank accession numbers: EF432320; DQ279770; DQ279768; EF432312; DQ279767; DQ279769; EF432316) presented the highest sequence similarity (99% of identity) with Lefevre 1963/M-132-1 strain. Through this analysis, it was found that indeed the purified strain belongs to the genus Arthrospira (which could be considered sufficient for the purposes of this work); however, doubts about its exact identity remain.

In contradiction to the results on molecular identification, the content of fatty acids (palmitic, linoleic and γ-linolenic) was 48.7, 21.2, 13.9%, respectively, or 1,1,0 (data coded), which are identical to those obtained by Mühling et al. (2006) (see strain D873, strain characters 23, 24 and 25) and would place our strain in the group of A. maxima, A. fusiformis and A. indica. This corresponds to phenotypic cluster I, according to Mühling’s notation or genetic cluster I according to Scheldeman et al. (1999). This result suggests that Lefevre 1963/M-132-1 strain could be more closely related to A. maxima.

It remains to ask why this contradiction arises and what the possible explanation is. An insight into a potential explanation for this finding can be found in the words of Mühling et al. (2006):

On the basis of a comparison of the trichome morphology of these isolates with descriptions in the literature for the species name used in the original culture collection, it seems likely that several had been assigned the wrong name.

It is important to note that the results of Mühling et al. (2006) and Scheldeman et al. (1999) refer to concrete measurements that are not subject to interpretation, hence the almost perfect match. On the other hand, when working with classical taxonomy, other variables, such as the skills and experience of the taxonomist, the interpretation of the original descriptions, etc., come into play. When a sample is misclassified we run the risk that the error is transmitted to reach databases such as the GenBank, where sequences are deposited under a wrong name, and thereby the identification based only on comparing against sequences deposited in this database can lead to errors. As we have demonstrated here, we should assume this task with as many tools and methods available.

As for the true identity of the strain Lefevre 1963/M-132-1, we consider that it is A. maxima, which is clearly evidenced by its clustering near Arthrospira sp. (‘platensis’) Laporte 1963/M 132-2b in the dendrogram built by Scheldeman et al. (1999). This strain was also reclassified as A. maxima (in the CCALA) after the publication of that work.