Next Article in Journal
Cell-to-Cell and Patient-to-Patient Variability in Antimicrobial Resistance
Previous Article in Journal
Patients and Surfaces: Integrated Clinical–Environmental Surveillance of MDR Gram-Negative Bacteria in Critical-Care Units (Karachi, 2024–2025)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Morphological and Molecular Characterization of Cyanobacteria Isolated from Two Geothermal Springs of the Central Ecuadorian Andes

by
Renato E. Naranjo
1,2 and
Andrés Izquierdo
1,2,3,*
1
Departamento de Ciencias de la Vida y la Agricultura, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171103, Ecuador
2
Grupo de Investigación en Microbiología y Ambiente GIMA, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171103, Ecuador
3
Centro de Nanociencia y Nanotecnología CENCINAT, Universidad de las Fuerzas Armadas ESPE, Sangolquí 171103, Ecuador
*
Author to whom correspondence should be addressed.
Microorganisms 2025, 13(12), 2763; https://doi.org/10.3390/microorganisms13122763
Submission received: 23 August 2025 / Revised: 18 October 2025 / Accepted: 23 October 2025 / Published: 4 December 2025
(This article belongs to the Section Environmental Microbiology)

Abstract

Geothermal springs are scattered worldwide and harbor thermophilic cyanobacteria, whose species distribution depends on extreme environmental conditions. The optical growth of cyanobacteria in hot springs and their metabolic diversity represent a source for possible biotechnological tools. In the current study, we isolated and characterized the cyanobacterial community of water samples from El Salado and Papallacta geothermal springs in Ecuador. We employed a culture-dependent as well as a polyphasic approach, which includes morphological examination by light microscopy, molecular analysis of 16S and 23S rRNA genes, and phylogenetic position using the maximum likelihood method. Notably, the morphological and molecular analyses complemented each other. Furthermore, we isolated eleven strains that belong to the taxa Tenebriella amphibia, Calothrix, Planktothricoides raciborskii, Nostoc, Fischerella muscicola, Leptolyngbya, Synechococcus, Komvophoron jovis, Chroococcales and Nostocacea. Both hot springs, whose temperature ranged between 45 and 54 °C, could harbor cosmopolitan and endemic cyanobacteria. Our study establishes a baseline for future efforts to exploit potential biotechnological tools bioprospected from these isolated microorganisms.

1. Introduction

Cyanobacteria constitute a phylum of crucial importance in ecology and evolution. They provide the basis for ecosystem stability through photosynthesis, atmospheric nitrogen fixation, and phosphorus accumulation [1,2,3]. These autotrophic prokaryotes present a broad range of cellular strategies, physiological capacities, and adaptations including the significant ability to thrive in diverse habitats such as freshwaters, the marine environment, and extreme habitats such as geothermal springs commonly known as “hot springs” [4,5,6,7]. Geothermal springs are scattered worldwide, primarily associated with current o recent volcanic activity [4]. Moreover, their hot waters may harbor endemic species of thermophilic cyanobacteria due to geographic isolation and possible evolutionary divergence [8]. The distribution pattern of these species varies with temperature and pH, in combination with availability of combined nitrogen, phosphorus and/or concentration of free sulfide within extreme environmental conditions [4].
Thermosynechococcus elongatus, Chlorogloeopsis, Leptolyngbya, Fischerella, Geitlerinema, Pleurocapsa, and Calothrix well-known cyanobacteria capable of tolerating the highest temperatures [5,9,10,11]. Representative cyanobacterial strains of geothermal habitats have been studied in numerous regions of the word such as Algeria [1], India [10,12], Sri Lanka [13], Iran [14], China [2], Taiwan [15], Greece [16], France [7], Bulgaria [17], Italy [18], and Northern Iceland [5]. Most thermophilic cyanobacteria are metabolically diverse and possess stable enzymes under extreme environmental conditions [19]. For instance, polyphosphate kinase from T. elongatus was successfully employed in an ATP regeneration system that could be used at high temperatures to effectively produce dipeptides [20]. Hence, isolation, axenic cultivation, and taxonomic characterization of strains yield a source of organisms for possible biotechnological exploration [10,12]. Patel et al. [11] reviewed some applications of thermophilic cyanobacteria such as CO2 emotions reduction to generate high added-value bioproducts, biofuel production, waste bioremediation, production of economically viable pigments and bioactive compounds, and the development of microbial fuel cells.
Morphological characterization provides an overall evaluation of cyanobacterial diversity and abundance of microbial communities in different environments [13]. However, cyanobacteria classification based solely on morphological criteria can be challenging, as morphological features often vary depending on environmental conditions, and cryptic species may exhibit similar morphologies but are genetically distinct. One of the most prominent examples is Phormidium [5,10,21,22]. Hence, identification under optical microscopy is generally limited to species with simple morphological features, such as the tiny coccoid cyanobacteria or the very thin filamentous Oscillatoriales [17]. Therefore, a polyphasic approach incorporating morphological and molecular data is recommended to correctly identify species [21,23]. The 16S rRNA gene is the most used marker in cyanobacterial systematics located in different environments at a global and regional scale, contributing to the analysis of distribution and evolution [4,18]. On the other hand, Domain V of the 23S rRNA gene is a plastid marker for multiple groups of eukaryotic algae and cyanobacteria [24].
The Ecuadorian Quaternary volcanic arc is comprised by at least 250 volcanoes [25]. Some of these volcanoes are associated with hydrothermal systems [26]. The National Institute of Meteorology and Hydrology of Ecuador has identified 119 hot springs, predominantly located along the Andean region and the southern Coast. These hot springs exhibit average temperatures of approximately 31.3 °C, with maximum temperatures reaching up to 74 °C [27,28]. Most of these hot springs are of significant socio-economic importance due to their recreational, therapeutic, industrial, and religious uses [27]. A few studies have revealed the diversity of cyanobacteria communities in Ecuadorian geothermal springs. Phormidium sp. and Leptolyngbya sp. were reported in the hot springs of San Vicente and Aguas Hediondas [29]. Subsequently, Rivas et al. [30] isolated a cyanobacterium strain closely related to Chroococcidiopsis thermalis from Aguas Hediondas at temperatures around 54 °C and a pH of 4.8.
In the present study, the cyanobacterial communities of El Salado and Papallacta geothermal springs were isolated and characterized using a combination of classical morphological examination and molecular analyses of the 16S and 23S rRNA genes. As this is the first report to describe cyanobacterial diversity from thermal environments in the inter-Andean region of Ecuador, we expect that our study will serve to encounter further potential strains for biotechnological applications. This publication is the result of a 10-year-old dataset that had never been written up for peer-review and dissemination. Strain insolation, morphological characterization, sequencing and the initial bioinformatic analysis were performed in 2015–2016. To enhance the robustness and relevance of our findings, the bioinformatic analysis were updated in 2023.

2. Methods

2.1. Sample Collection

Water samples with sediment from two geothermal springs were collected from September through October in 2015. The sampling sites in Ecuador were El Salado (S 1°24′17.973″, O 78°25′58.5″), at 1903 m.a.s.l., close to Río Negro, in the Province of Tungurahua, and Papallacta (S 0°21′45.284″, W 78°8′57.453″) at 3300 m.a.s.l., close to Quijos, in the Province of Napo (Figure 1). The two sampling sites are depicted in Figure 2. El Salado spring was located within a channel being roughly 1.5 m wide, whose flow forms small basins downstream, while the Papallacta spring was enclosed by concrete walls with slight access to light sources. 500 mL sterile glass bottles were affixed to a metal clamp with an extended handle. Each bottle was immersed at the sampling site until it was filled with water, after which it was sealed and labeled. These bottles were transported in a polystyrene box at room temperature to the Environmental Microbiology laboratory at the Centro de Nanociencia y Nanotecnología (CENCINAT) of the Universidad de las Fuerzas Armadas ESPE for sample processing.

2.2. Physicochemical Analysis

The temperature and pH of the water were measured at each sampling point using a portable digital thermometer and a pH meter (PmoYoko, Jinan, China). Then, we collected 3 L of water in sterile plastic bottles, which were then transported in a polystyrene box with ice. Physicochemical properties analyses of these water samples were outsourced to two accredited laboratories in Ecuador (CESAQ-PUCE and Labanncy Ltd., Quito, Ecuador).

2.3. Isolation of Cyanobacteria and Morphological Identification

A 100 µL aliquot of sample was inoculated using the spread plate method onto Petri dishes containing sterile BG-11 (for non–nitrogen-fixing strains) or BG-11o (for nitrogen-fixing strains) medium solidified with 1.5% (w/v) agar. Plates were incubated at 20 ± 2 °C under a 12 h light/12 h dark photoperiod using fluorescent illumination (average 16 μmol photons m−2 s−1) for 15 days. Colonies were examined under a stereomicroscope (Olympus, Japan), and isolated colonies were transferred to fresh medium. This procedure was repeated five times to ensure purification. Additionally, unicellular cyanobacteria lacking filaments were isolated using a short-tip Pasteur pipette or capillary. A droplet of the sample was placed on a slide and observed under a light microscope (Olympus, Tokyo, Japan). Individual cells of interest were drawn into the pipette by capillary action and transferred into a drop of sterile medium on a clean slide. This process was repeated until only a single cell type remained in the drop. Purified strains from both solid and liquid cultures were expanded in 10 mL of the corresponding medium for DNA extraction.
Cyanobacteria (referred to as “Cyanoprokaryota” in Komárek and Anagnostidis’ works) were identified under an optical microscope and a digital microscope (Luminoptic, Melbourne, VIC, Australia) with a camera of 5.0 megapixels using the taxonomic information of Komárek et al. [31], Komárek and Anagnostidis [32], Komárek [33], Anagnostidis and Komárek [34], Anagnostidis [35], and Algaebase [36]. Each cyanobacterium was described through micrographs, and the measurements of vegetative cells and heterocysts were obtained using the ScopeImage-software version 9.0 and Fiji-software version 1.53t.

2.4. Molecular Analysis of Cyanobacterial Isolates

Genomic DNA was isolated from all cyanobacteria strains using the method described by Cai and Wolk [37] with some modifications. Briefly, 2 mL of cyanobacteria samples was transferred to 2 mL centrifuge tubes, and centrifuged for 5 min at 14,000 rpm. After supernatant was discarded, three sterile 2 mm glass beads, 500 μL of TE buffer (10 mM Tris-HCl, 0.1 mM EDTA, pH 7.5), 70 μL of 10% sodium dodecyl sulfate (Sigma-Aldrich, Burlington, MA, USA), and 225 μL of phenol-chloroform (1:1, v/v) were added to the tubes. Samples were vigorously vortexed for 1 min followed by cooling on ice for 1 min. This process was repeated for a total of five times. The suspensions were centrifuged for 15 min at 14,000 rpm, while the supernatants from each extraction were transferred to new tubes. Then, two phenol extractions were performed. For each extraction, 700 uL of phenol pH 8.0 were added, samples were vortexed and centrifuged for 2 min at 14,000 rpm, and the supernatants were placed in separate tubes. DNA was precipitated using 150 μL of 3 M sodium acetate (pH 5.2) and 300 μL absolute ethanol. The tubes were stored at −20 °C for 3 h, centrifugated for 10 min at 14,000 rpm, while the supernatant was discarded. DNA pellets were washed twice with 70% ethanol and resuspended in 75 μL of nuclease-free water (Santa Cruz, CA, USA), and two units of RNase A (Thermo Fisher Scientific Inc., Waltham, MA, USA) were added. Suspensions were incubated at 37 °C for 15 min at 400 rpm, and DNA samples were stored at −20 °C until further use.
The 16S and 23S rRNA genes were amplified using specific primers (CYA106F: 5′-CGGACG GGTGAGTAACGCGTGA-3′, CYA781R: 5′-GACTACTGGGGTATCTAATCCCATT-3′) [38], and (p23SrV_f1: 5′-GGACAGAAAGACCCTATGAA-3′, p23SrV_r1: 5′-TCAGCCTGTTATCCCTAGAG-3′) [24]. PCR reactions were conducted in 25 μL, and the amplification solution contained 12.5 μL 2X GoTaq Green Master Mix (Promega, Madison, WI, USA), 1.25 μL of each primer (10 μM), 7.5 μL nuclease-free water, and 2.5 μL of DNA. Conditions for the 16S gene amplification were initial denaturation at 94 °C for 2 min followed by 35 cycles at 94 °C for 20 s, 55 °C for 30 s, and 72 °C for 30 s, and final extension at 72 °C for 10 min. On the other hand, conditions for the 23S gen amplification were initial denaturation at 95 °C for 3 min, 35 cycles at 94 °C for 30 s, 60 °C for 30 s, and 72 °C for 1 min, and final extension at 72 °C for 10 min. PCR products were visualized by running a 1% agarose gel stained with Gel Star (Lonza, Rockland, ME, USA). Amplicons were bidirectionally sequenced using the Sanger method (Macrogen, Seoul, Republic of Korea). The obtained sequences were analyzed with Geneious R9.1 [39] to obtain consensus sequences. BLASTn 2.14.0 searches [40] were used to initially infer sequence identity by pairwise comparisons with homologs in GenBank database. Sequences generated in this study were deposited in the GenBank database under the accession numbers MH090926-MH090932 (16S rRNA gene) and MH101455-MH101461 (23S rRNA gene).

2.5. Phylogenetic Analysis

To investigate evolutionary relationships, homologous 16S and 23S rRNA gene sequences from cyanobacterial species were retrieved from the GenBank database (as of July 2023), selected based on BLAST similarity to our study strains. Retrieved sequences were screened to exclude incomplete or low-quality entries, and only those covering at least 90% of the full gene length were retained for analysis. To ensure broad taxonomic representation, sequences were selected to maximize diversity across the orders Nostocales and Oscillatoriales, and appropriate outgroup taxa were included.
Multiple sequence alignments were performed separately for the 16S and 23S rRNA datasets using the MUSCLE algorithm [41] implemented in MEGA version 11.0.13 [42], with default parameters. Ambiguous regions and gaps were removed using Gblocks [43], with default parameters, to retain phylogenetically informative sites.
Phylogenetic trees were constructed with the maximum likelihood (ML) method in MEGA, using the Kimura 2-parameter substitution model with gamma distribution and invariant sites (K2 + G + I) for both genes. The best-fitting evolution model for each alignment was determined based on the Bayesian Information Criterion (BIC) using the “Find Best DNA/Protein Models (ML)” tool. Node support was assessed with 1000 bootstrap replicates per branch. Trees were visualized and edited using Tree explorer tool.

3. Results

3.1. Physicochemical Analysis of Hot Spring Waters

The measured physicochemical parameters are listed in Table 1. In situ analysis revealed that the hot water from the Papallacta spring had higher temperatures than the El Salado spring. Additionally, El Salado has a slightly acid pH range, while Papallacta has a neutral to nearly alkaline pH. Laboratory analysis indicated high conductivity in the two water springs, demonstrating a higher value in Papallacta. El Salado spring exhibited high concentrations of Cl, SO4−2, K+, Ca2+, and Mg2+; whereas Papallacta spring had considerable Cl, Na+, and Ca2+ concentrations. Moreover, the alkalinity of El Salado’s water was significantly higher than of Papallacta’s water. The values of arsenic and copper were almost identical in the two sampling points, while El Salado’s water contained a high concentration of iron.

3.2. Isolation and Morphological Identification

In the present study, eleven strains were isolated and identified as belonging to the orders Nostocales (4), Oscillatoriales (3), Synechococcales (3), and Chroococcales (1). Only the genus Leptolyngbya was isolated from the two springs. Cyanobacterial morphotypes are depicted in Figure 3, and Table 2 lists the measurements of vegetative cells and heterocysts.
B2A was identified as Tenebriella amphibia, with brownish cells being wider than long, formed solitary and extended trichomes with rounded apical cells (Figure 3A). B3A (Calothrix sp.), exhibited short filaments with thin sheaths comprising conical blue-green cells. The number of vegetative cells was up to 20, and their size decreased toward the basal part of the trichome. This morphotype also indicated a solitary spherical apical heterocyst (Figure 3B). B4A (Planktothricoides sp.) consisted of long tangled trichomes with rounded apical cells and gas vacuoles (Figure 3C). Its large colonies penetrated the solid medium. B5A and P15A (Leptolyngbya sp.), presented constricted trichomes in dense clusters, composed of green vegetative cells slightly longer than wide and an inconspicuous sheath (Figure 3D,K).
B6A (Synechococcus sp.) consisted of blue-green solitary cells with a spherical and elongated shape before division (Figure 3E). P11A (Nostoc sp.) indicated brownish cylindrical vegetative cells forming long trichomes, while spherical heterocysts were present in the terminal or intermediate position (Figure 3F). P12A was identified as species of the Chroococcales order with solitary or agglomerated blue-green cells. These cells were spherical or slightly oval before division, without mucilaginous envelopes (Figure 3G). P13A (Nostocales order) presented green oval cells formed short coiled trichomes, grouped and embedded in a mucilaginous matrix. Spherical heterocysts less broad than vegetative cells were also present (Figure 3H). P14A (Fischerella sp.) presented primary filaments and true-branched filaments composed for barrel-shaped green cells. We observed brownish-colored cylindrical heterocysts in the branches. Furthermore, the colonies penetrated the agar and displayed a distinctive earthy/musty smell, typical of geosmin [44] (Figure 3I,J). P38A (Komvophoron jovis) consisted of brownish cells with hemispherical and conical shapes that formed large twisting trichomes without branches. A hardly distinguishable hyaline sheath rounded the small vegetative cells, which were slightly separated (Figure 3L).

3.3. 16S and 23S rRNA Gen Phylogenetic Analysis

Analysis of 16S and 23S rRNA partial sequences was performed for seven strains. BLAST search of 16S rRNA sequences of B2A, B4A, P11A and P14A yielded > 99% similarity to other cyanobacteria sequences in the GenBank database (Table 3). Except for P12A, the remaining strains reported between 97 and 98% similarity. Likewise, the 23S rRNA sequence of P14A determined >99% homology. However, the other sequences reported homologies <97%.
The phylogenetic analysis demonstrated that non-heterocystous strains (Oscillatoriales) were organized in a different cluster from heterocystous strains (Nostocales) into the two trees (Figure 4 and Figure 5). Moreover, B2A and B4A strains clustered with Oscillatoriales cyanobacteria but were in distinct internal clades. On the 16S rRNA phylogenetic tree, B2A formed a clade with another T. amphibia and Oscillatoria sancta sequences, while B4A and Planktothricoides raciborskii sequences formed a clade with a strong bootstrap value (100%). B3A formed a clade with Cilindrospermum species and a subclade with another Calothrix strain. P11A and P13A, for their part, were grouped in a Nostoc clade, each forming a subclade with unpublished sequences of Nostoc sp. P12A and P14A were a distinct clade from the previously described heterocystous strains. Although P12A was identified as Chroococcalean cyanobacterium under the microscope, the phylogenic analysis indicated a strong clustering (99% bootstrap) with Chlorogloeopsis fritschii sequences. P14A clustered strongly (100% bootstrap) with Fisherella muscicola SAG2027 and unpublished sequences of Fisherella, Westiellopsis, and Hapalosiphon. Westiellopsis sp. TPR-29 was reported from an Indian thermal spring. 23S rRNA phylogenetic tree is depicted in Figure 5, where P3A formed a clade with Calothrix sp. NIES-2100 and P13A strain. Unlike 16S rRNA tree, P13A was outside the Nostoc clade and grouped in a clade with Halotia branconni. P12A and sequences of Hapalosiphonaceae family formed a highly supported group (99%) in which P14A and two Fisherella sequences (AP017305, AP024677) from Japanese hot springs were present. Finally, like 16S rRNA tree, the insolate P11A clustered with members of the Nostoc genus.

4. Discussion

The current research supported the importance of morphological characterization and molecular analysis to study the diversity of cyanobacteria in hot springs of the Andean mountain. By culture-dependent approach, we isolated cyanobacteria representatives of the genera Tenebriella, Planktothricoides, Komvophoron, Calothrix, Nostoc, Fischerella, Leptolyngbya, Synechococcus, and two unidentified genera of Chroococcales and Nostocacea, from hot water from El Salado and Papallacta geothermal springs. Gene sequences and phylogenetic analysis allowed to corroborate the morphological identification and increase the resolution of taxonomy to classify our strains. Both hot springs evidenced diverse communities of cyanobacteria. Papallacta spring yielded the highest temperature (50–54 °C), where heterocystous filamentous forms (Nostocales) were predominated. The presence of heterocysts relies on the availability of combined nitrogen at temperatures below ~55 °C [4]. However, in some springs with high temperatures (~63 °C), combined nitrogen may be deficient and heterocystous cyanobacteria may thrive [1,4].
The P14A strain is the most closely related to F. muscicola, with the highest percentages of identity in the analysis of both genes (Table 3). Fischerella is a frequent constituent of microbial communities in hot springs, typically found up to 58 °C [1,12,45]. Its adaptation to high temperatures could be due to a high abundance of phycobilisome linkers or faster turnover of photosystem proteins that this genus presents [46]. According to Kaštovský and Johansen [47], some strains of Fischerella are misidentified because the authors frequently identified Mastigocladus (reserved for populations with true branching from thermal springs) as Fischerella. This explains the presence of F. major and F. muscicola in the thermal springs clade despite being from terrestrial or aerial habitats. Therefore, P14A could possibly be identified as Mastigocladus. Nevertheless, we maintain it as F. muscicola. Only P14A strain was closely related to sequences of geothermal microorganisms. In the 23S rRNA analysis, this strain matched with Fischerella sp. strain NIES-3754 [48] and uncultivated Fischerella sp. KatS3mg066 [49] with 97% similarity, both from hot springs in Japan. However, the closest match did not derive from a hot spring (Fischerella muscicola SAG2027, with a 99% similarity). On the other hand, P14A strain was 100% similar to species of genera Hapalosiphon, Fischerella, and Westiellopsis, forming a strong clade with them (Figure 4). The most problematic clusters within Nostocales are genera Hapalosiphon, Westiellopsis, Fischerella, Pelatocladus, Nostochopsis, and Mastigocladus [50]. Phylogenetic analysis has shown that these genera are closely related and easily confused morphologically, and form a monophyletic lineage corresponding to one family, being Hapalosiphonaceae [31]. Unfortunately, many of these taxa have been described from very restricted habitats, hence, the true genetic and ecological diversity remains unknown [50]. Other authors recommended an alternative solution to collapse these four genera into a single Fischerella genus [51]. In addition, the high match of P14A with species of Hapalosiphonaceae family may be explained since some thermophilic cyanobacteria, such as Fischerella, appear in the cosmopolitan distribution [8].
Under the microscope, P12A demonstrated features of the order Chroococcales, but this morphotype has a basal position from C. fritschii clade. Despite C. fritschii was the closest match with P12A, it had less than 97% similarity based on 16S rRNA gene sequencing. The main reason is that no sequences in the NCBI database correspond to this taxon. P12A maintains a short distance to Fischerella clade in 16S and 23 rRNA tree. Strunecký et al. [17] indicated that Chlorogloeopsis is phylogenetically very close to the thermophilic Mastigocladus/Fisherella group. We speculate that the P12A position could reveal the polyphyletic nature of some genera of Chroococcales. Phylogenetic analyses have indicated that many cyanobacteria with simple morphotypes (Chroococcales) are polyphyletic [1,52,53].
Both P11A and P13A strains were identified as species of the family Nostocaceae. The 16S rRNA tree showed that the P11A and P13A clustered in the Nostoc clade with other Nostoc-like species (Figure 5). Instead, 23S rRNA tree demonstrated that these two strains were widely distant, as well as P13A was placed in the clade formed with Nostoc-like species, a species of family Calotrichaceae and the B3A strain. Nostoc is a polyphyletic group, and the diversity of Nostoc-like cyanobacteria is underestimated due to the low genetic and genomic information and the subtle morphological differences often seen among related strains [54]. P11A strain was considered as Nostoc sp. because neither morphology nor molecular characterization allowed to give any further species assignment to this organism. Bravakos et al. [16] reported a Nostoc strain isolated from a thermal spring in Greece, whose temperature reached 58 °C. Regarding P13A, the best BLAST for the 16S and 23S rRNA sequences were D. phyllosphericum CENA369 [54] and H. branconii CENA392 [55], respectively. While CENA369 seems to be distantly related to our strain, CENA392 (recently proposed genus Halotia) and P13A formed a weak supported clade. Therefore, there is a consensus between the two trees, indicating that P13A could be considered a new taxon of family Nostocacea. We also isolated a heterocystous cyanobacteria (B3A) from El Salado spring. Although B3A had typical Calothrix features, phylogenetic analysis only closely related it to clone Calothrix sp. CHAB TP201528. In a previous study, Calothrix was isolated from hot baths in Iceland, with temperatures between 36 and 40 °C [5]. The metabolic capacities of family Nostocaceae and Calotrichaceae, such as fixing atmospheric carbon and nitrogen and stablishing mutualistic symbioses, could make these families notoriously ubiquitous in different environments [5,10,54].
The rest of the species in this study were from El Salado spring and thrived below 50 °C. Here, the number of non-heterocystous forms (Oscillatoriales and Synechococcales) was higher. Oscillatoriales are considered a major component of the cyanobacterial flora in hot springs worldwide [10,56]. This order is notable in sulfide-rich springs with a temperature range of 40 to 66 °C due to predominance of sulfide-tolerant and sulfide-utilizing species [4,6,57]. Interestedly, the morphological features of family Oscillatoriaceae in cultured isolates and natural populations have been shown to be highly variable, depending on growth and cultivation conditions [36]. Being phenotypic plasticity a taxonomic problem in thin filamentous cyanobacteria [37].
Although the B2A strain was initially identified as O. sancta, trichome measurements allowed to recognize this strain as T. amphibia. T. amphibia differs morphologically from Oscillatoria sancta by trichome width [32,58]. The trichome width of B2A (14.2–19.4 µm) was similar to T. amphibia SAG 74.79 (15–19 µm) [58]. Some GenBank sequences clustered within Tenebriella were originally named O. sancta [58]. This could explain the presence of two species in the B2A clade (Figure 4). Only Bassu et al. [59] have reported the presence of a species of Tenebriella in a geothermal environment (Indian spring at 45 °C). On the other hand, O. sancta was previously identified in Roman Baths (Italy) a temperature range between 39 and 46 °C [60]. Another Oscillatorialean was B4A. These strains matched with P. raciborskii PMC 877.14 (99% similarity), which was isolated from muds of the thermal springs of Balaruc-les-Bains (France) [7]. Molecular phylogeny placed B4A in a main strong clade with other P. raciborskii sequences (Figure 5). This species was reported in a bathing tank of the Nunbel hot spring (India) at 45 °C [59]. Morphologically, B4A strain indicated narrower cells (2.4–5.9 µm) than cells of PMC 877.14 (5–7.3 µm) [7] and Indian cyanobacteria (4.7–7.6 μm) [59].
In four strains (B5A, B6A, P15A and P38A) from the present study, the polyphasic characterization could not be completed, and only the morphological identification and description were performed. We obtained low-quality sequences, and the possible cause could have developed in the first steps of DNA extraction (cellular lysis). The DNA extraction of Leptolyngbya and Komvophoron strains could likely be compromised since their sheathes or compact colonies, either of which may interfere with cell disruption [61,62], affecting subsequent DNA purification and gene amplification steps [1]. B5A from El Salado and P15A from Papallacta springs were identified as Leptolyngbya, a genus that is often the most abundant in thermal environments [1,18,63]. The B5A and P15A strains composed cells with similar length and width (roughly 2.5 µm) (Table 2). Leptolyngbya strains from Euganean Thermal District (Italia) and Geyser Hot Spring (USA) were composed of cells distinctly longer than wide [18]. On the contrary, Leptolyngbia cells of thermal muds from France were shorter than wide [7]. Our strains had a similar length to the Italian cyanobacteria. The B6A strain were assigned to genus Synechococcus. This species has been isolated in several studies of cyanobacteria flora from thermal habitats [1,2,10,12,13,16,17]. Leptolyngbya and Synechococcus may be found together below approximately 58 °C [4], and their occurrence in geothermal springs suggests that there is no geographical barrier to the dispersal of these thermophilic taxa [1]. Finally, P38A strain was identified as K. jovis by morphological characterization. Our description and measurements of length and width were similar to the information reported by Anagnostidis and Komárek [34]. This species was recently recorded in an Indian geothermal spring at 60 °C [59].
Temperature is not the only the extreme condition for microorganisms in hot springs, but also elevated concentrations (50–150 mg/L) of inorganic ions (Ca2+, Mg2+, Na+, HCO3, SO42−, Cl, Si and H2S) and elevated or acidic pH [64]. Our findings of possible dominant ionic species are consistent with some previous reports, in which Papallacta is considered a hot spring of the type near-neutral Chloride–Alkali (Na+, Ca2+) [65], and El Salado spring is Chloride–Sulfate–Alkali (K+, Ca2+, and Mg2+) [66]. The conductivity of water depends on the concentration of dissolved ions and the temperature [10]. Therefore, the high levels of dissolved ions may contribute to the higher measured conductivity in both geothermal springs. Cyanobacteria diversity seems quite limited below pH 6 in hot springs around the world [4], and alkaline pH conditions are more favorable for the growth of many cyanobacteria [13]. Therefore, the pH (6.3 to 7.5) of Ecuadorian springs would be able to promote the growth of the encountered taxa. Both springs also exhibited elevated arsenic and copper, and a significant difference in iron concentration. Not only do particular temperature, pH, and nutrient levels control the predominance of the cyanobacterial community in hot water springs [10], but also the presence of minor dissolved elements and toxic metals may represent a selective pressure on the inhabiting microbial communities [1,67]. Establishing possible correct correlations between each physicochemical parameter and cyanobacterial diversity could be interesting and challenging, and would require meaningful multivariate statistical analyses [1].
The thermophile Fischerella strains are attractive for harboring thermoresistant photosensors (Phytochrome-class) [11,48]. Moreover, they were effective at the production of nitrogenase reductase for nitrogen fixation [68], and removing nutrients (nitrogen and phosphorus) from thermal effluents of a nuclear reactor [11]. The enzymatic activities of Leptolyngbya have aroused great interest due to its extensive ability to metabolize pesticides such as glyphosate [69]. In addition, Leptolyngbya within geothermal microalgal consortia are able to increase biomass and neutral lipid production [70]. A strain of O. sancta (species most similar to T. amphibia) was demonstrated to be an efficient producer of biodiesel at elevated temperatures [60]. Thermophile Synechococcus strains have been used in CO2 assimilation [71], lipid and biodiesel production [72,73], dye bioaccumulation [74], and poly-β-hydroxybutyrate production [75,76,77]. Therefore, the potential of our strains will need to be investigated in future work.
In the current study, five strains from El Salado and six strains from Papallacta were isolated and characterized. In seven of them, the morphological and molecular analysis complemented each other. Even though we determined the taxonomy of all eleven isolates, further investigation is necessary for strains B3A, P12A and P13A. Ultrastructure data, multiple-locus sequence typing and whole genome sequencing may provide additional information for a more precise identification [2,16]. Both hot springs harbor cosmopolitan cyanobacteria belonging to seven taxa, being T. amphibia, P. raciborskii, Nostoc sp., F. muscicola, K. jovis, Synechococcus, and Leptolyngbya. We thus presume that the rest of the isolates are endemic.
This study also contributes to the exploitation of the biotechnological potential of cyanobacterial isolates from geothermal springs, leveraging their inherent resistance to extreme environmental conditions. The strains isolated in the present work are currently being used by the Centro de Nanociencia y Nanotecnología (CENCINAT) in various applied research projects. Specifically, the strain P14A, identified here as Fischerella muscicola, has served as a biological component in a hybrid organometallic cell designed for bioelectric energy generation [78]. Moreover, this strain has been employed as a cellular model to assess the toxicity, biocompatibility, and environmental safety of green-synthesized gold and silver nanoparticles [79]. In addition, an ongoing investigation aims to develop hybrid cyanobacteria integrated with metallic nanoparticles to evaluate their genetic and toxicological effects, as well as their interactions with edible plants, to determine both their biotechnological potential and environmental safety (unpublished data). Importantly, the morphological and molecular identification of cyanobacterial isolates achieved in the present study has been essential for enabling and advancing these interdisciplinary applications.

Author Contributions

Conceptualization, A.I.; Methodology, R.E.N. and A.I.; Software, R.E.N.; Validation, R.E.N. and A.I.; Formal Analysis, A.I.; Investigation, R.E.N.; Resources, A.I.; Data Curation, R.E.N.; Writing—Original Draft Preparation, R.E.N.; Writing—Review & Editing, A.I.; Visualization, R.E.N.; Supervision, A.I.; Project Administration, A.I.; Funding Acquisition, A.I. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Universidad de la Fuerzas Armadas ESPE grant number PIC-002, 2015 “Análisis y Caracterización Microbiológica y Molecular de la Comunidad Microbiana en Fuentes Geotermales del Ecuador”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.

Acknowledgments

We thank Alma Koch, Francisco Flores, and Berenice Sarmiento of Grupo de Investigación en Microbiología y Ambiente (GIMA). We also acknowledge Theofilos Toulkeridis and Alejandro Olmedo who graciously edited the draft version of this manuscript.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Amarouche-Yala, S.; Benouadah, A.; El Ouahab Bentabet, A.; López-García, P. Morphological and Phylogenetic Diversity of Thermophilic Cyanobacteria in Algerian Hot Springs. Extremophiles 2014, 18, 1035–1047. [Google Scholar] [CrossRef]
  2. Tang, J.; Jiang, D.; Luo, Y.; Liang, Y.; Li, L.; Shah, M.M.R.; Daroch, M. Potential New Genera of Cyanobacterial Strains Isolated from Thermal Springs of Western Sichuan, China. Algal Res. 2018, 31, 14–20. [Google Scholar] [CrossRef]
  3. Sheath, R.G.; Wehr, J.D. Chapter 1—Introduction to the Freshwater Algae. In Freshwater Algae of North America; Wehr, J.D., Sheath, R.G., Kociolek, J.P., Eds.; Aquatic Ecology; Academic Press: Boston, MA, USA, 2015; pp. 1–11. ISBN 978-0-12-385876-4. [Google Scholar]
  4. Ward, D.M.; Castenholz, R.W.; Miller, S.R. Cyanobacteria in Geothermal Habitats. In Ecology of Cyanobacteria II; Whitton, B.A., Ed.; Springer Netherlands: Dordrecht, The Netherlands, 2012; pp. 39–63. [Google Scholar]
  5. Jasser, I.; Panou, M.; Khomutovska, N.; Sandzewicz, M.; Panteris, E.; Niyatbekov, T.; Łach, Ł.; Kwiatowski, J.; Kokociński, M.; Gkelis, S. Cyanobacteria in Hot Pursuit: Characterization of Cyanobacteria Strains, Including Novel Taxa, Isolated from Geothermal Habitats from Different Ecoregions of the World. Mol. Phylogenet. Evol. 2022, 170, 107454. [Google Scholar] [CrossRef]
  6. Ghozzi, K.; Zemzem, M.; Ben Dhiab, R.; Challouf, R.; Yahia, A.; Omrane, H.; Ben Ouada, H. Screening of Thermophilic Microalgae and Cyanobacteria from Tunisian Geothermal Sources. J. Arid Environ. 2013, 97, 14–17. [Google Scholar] [CrossRef]
  7. Duval, C.; Hamlaoui, S.; Piquet, B.; Toutirais, G.; Yéprémian, C.; Reinhardt, A.; Duperron, S.; Marie, B.; Demay, J.; Bernard, C. Diversity of Cyanobacteria from Thermal Muds (Balaruc-Les-Bains, France) with the Description of Pseudochroococcus coutei Gen. Nov., Sp. Nov. FEMS Microbes 2021, 2, xtab006. [Google Scholar] [CrossRef] [PubMed]
  8. Ward, D.M.; Castenholz, R.W. Cyanobacteria in Geothermal Habitats. In The Ecology of Cyanobacteria: Their Diversity in Time and Space; Whitton, B.A., Potts, M., Eds.; Springer: Dordrecht, The Netherlands, 2000; pp. 37–59. ISBN 978-0-306-46855-1. [Google Scholar]
  9. Castenholz, R.W. Portrait of a Geothermal Spring, Hunter’s Hot Springs, Oregon. Life 2015, 5, 332–347. [Google Scholar] [CrossRef]
  10. Singh, Y.; Gulati, A.; Singh, D.P.; Khattar, J.I.S. Cyanobacterial Community Structure in Hot Water Springs of Indian North-Western Himalayas: A Morphological, Molecular and Ecological Approach. Algal Res. 2018, 29, 179–192. [Google Scholar] [CrossRef]
  11. Patel, A.; Matsakas, L.; Rova, U.; Christakopoulos, P. A Perspective on Biotechnological Applications of Thermophilic Microalgae and Cyanobacteria. Bioresour. Technol. 2019, 278, 424–434. [Google Scholar] [CrossRef]
  12. Debnath, M.; Mandal, N.C.; Ray, S. The Study of Cyanobacterial Flora from Geothermal Springs of Bakreswar, West Bengal, India. Algae 2009, 24, 185–193. [Google Scholar] [CrossRef]
  13. Bowange, R.W.T.M.R.T.K.; Jayasinghe, M.M.P.M.; Yakandawala, D.M.D.; Kumara, K.L.W.; Abeynayake, S.W.; Ratnayake, R.R. Morphological Characterization of Culturable Cyanobacteria Isolated from Selected Extreme Ecosystems of Sri Lanka. Ceylon J. Sci. 2022, 51, 577–588. [Google Scholar] [CrossRef]
  14. Heidari, F.; Zima, J.; Riahi, H.; Hauer, T. New Simple Trichal Cyanobacterial Taxa Isolated from Radioactive Thermal Springs. Fottea 2018, 18, 137–149. [Google Scholar] [CrossRef]
  15. Leu, J.-Y.; Lin, T.-H.; Selvamani, M.J.P.; Chen, H.-C.; Liang, J.-Z.; Pan, K.-M. Characterization of a Novel Thermophilic Cyanobacterial Strain from Taian Hot Springs in Taiwan for High CO2 Mitigation and C-Phycocyanin Extraction. Process Biochem. 2013, 48, 41–48. [Google Scholar] [CrossRef]
  16. Bravakos, P.; Kotoulas, G.; Skaraki, K.; Pantazidou, A.; Economou-Amilli, A. A Polyphasic Taxonomic Approach in Isolated Strains of Cyanobacteria from Thermal Springs of Greece. Mol. Phylogenet. Evol. 2016, 98, 147–160. [Google Scholar] [CrossRef]
  17. Strunecký, O.; Kopejtka, K.; Goecke, F.; Tomasch, J.; Lukavský, J.; Neori, A.; Kahl, S.; Pieper, D.H.; Pilarski, P.; Kaftan, D.; et al. High Diversity of Thermophilic Cyanobacteria in Rupite Hot Spring Identified by Microscopy, Cultivation, Single-Cell PCR and Amplicon Sequencing. Extremophiles 2019, 23, 35–48. [Google Scholar] [CrossRef]
  18. Sciuto, K.; Moro, I. Detection of the New Cosmopolitan Genus Thermoleptolyngbya (Cyanobacteria, Leptolyngbyaceae) Using the 16S RRNA Gene and 16S–23S ITS Region. Mol. Phylogenet. Evol. 2016, 105, 15–35. [Google Scholar] [CrossRef] [PubMed]
  19. Rupasinghe, R.; Amarasena, S.; Wickramarathna, S.; Biggs, P.J.; Chandrajith, R.; Wickramasinghe, S. Microbial Diversity and Ecology of Geothermal Springs in the High-Grade Metamorphic Terrain of Sri Lanka. Environ. Adv. 2022, 7, 100166. [Google Scholar] [CrossRef]
  20. Abed, R.M.M.; Dobretsov, S.; Sudesh, K. Applications of Cyanobacteria in Biotechnology. J. Appl. Microbiol. 2009, 106, 1–12. [Google Scholar] [CrossRef]
  21. Martineau, E.; Wood, S.A.; Miller, M.R.; Jungblut, A.D.; Hawes, I.; Webster-Brown, J.; Packer, M.A. Characterisation of Antarctic Cyanobacteria and Comparison with New Zealand Strains. Hydrobiologia 2013, 711, 139–154. [Google Scholar] [CrossRef]
  22. Sciuto, K.; Andreoli, C.; Rascio, N.; La Rocca, N.; Moro, I. Polyphasic Approach and Typification of Selected Phormidium Strains (Cyanobacteria). Cladistics 2012, 28, 357–374. [Google Scholar] [CrossRef]
  23. Komárek, J. A Polyphasic Approach for the Taxonomy of Cyanobacteria: Principles and Applications. Eur. J. Phycol. 2016, 51, 346–353. [Google Scholar] [CrossRef]
  24. Sherwood, A.R.; Presting, G.G. Universal Primers Amplify a 23S RDNA Plastid Marker in Eukaryotic Algae and Cyanobacteria. J. Phycol. 2007, 43, 605–608. [Google Scholar] [CrossRef]
  25. Toulkeridis, T.; Zach, I. Wind Directions of Volcanic Ash-Charged Clouds in Ecuador—Implications for the Public and Flight Safety. Geomat. Nat. Hazards Risk 2017, 8, 242–256. [Google Scholar] [CrossRef]
  26. Inguaggiato, S.; Hidalgo, S.; Beate, B.; Bourquin, J. Geochemical and Isotopic Characterization of Volcanic and Geothermal Fluids Discharged from the Ecuadorian Volcanic Arc. Geofluids 2010, 10, 525–541. [Google Scholar] [CrossRef]
  27. Burbano, N.; Becerra, S.; Pasquel, E. Aguas Termo Minerales En El Ecuador. Inst. Nac. Meteorol. E Hidrol. (INAMHI) 2013. [Google Scholar]
  28. Jara-Alvear, J.; De Wilde, T.; Asimbaya, D.; Urquizo, M.; Ibarra, D.; Graw, V.; Guzmán, P. Geothermal Resource Exploration in South America Using an Innovative GIS-Based Approach: A Case Study in Ecuador. J. S. Am. Earth Sci. 2023, 122, 104156. [Google Scholar] [CrossRef]
  29. Morales, E.D.; Luna, V.; Navarro, L.; Santana, V.; Gordillo, A.; Arévalo, A. Diversidad de Microalgas y Cianobacterias En Muestras Provenientes de Diferentes Provincias Del Ecuador, Destinadas a Una Colección de Cultivos. Rev. Ecuat. Med. Cienc. Biol. 2013, 34, 129–149. [Google Scholar] [CrossRef]
  30. Rivas-Párraga, R.; Izquierdo, A.; Sánchez, K.; Bolaños-Guerrón, D.; Alfaro-Núñez, A. Identification and Phylogenetic Characterization Based on DNA Sequences from RNA Ribosomal Genes of Thermophilic Microorganisms in a High Elevation Andean Tropical Geothermal Spring. Rev. Bionatura 2022, 7, 5. [Google Scholar] [CrossRef]
  31. Komárek, J.; Kaštovský, J.; Mareš, J.; Johansen, J.R. Taxonomic Classification of Cyanoprokaryotes (Cyanobacterial Genera) 2014, Using a Polyphasic Approach. Preslia 2014, 86, 295–335. [Google Scholar]
  32. Komárek, J.; Anagnostidis, K. Cyanoprokaryota II. In Süsswasserflora von Mittleuropa, Bd 19/2; Büdel, B., Krienitz, L., Gärtner, G., Schagerl, M., Eds.; Elsevier/Spektrum: München, Germany, 2005; p. 759. [Google Scholar]
  33. Komárek, J. Cyanoprokaryota 3. Teil/3rd Part: Heterocytous Genera. In Süßwasserflora von Mitteleuropa, Bd. 19/3; Büdel, B., Gärtner, G., Krienitz, L., Schagerl, M., Eds.; Springer: Spektrum, Germany, 2013; p. 1131. [Google Scholar]
  34. Anagnostidis, K.; Komárek, J. Modern Approach to the Classification System of Cyanophytes. 3—Oscillatoriales. Arch. Hydrobiol. Suppl. Algol. Stud. 1988, 50–53, 327–472. [Google Scholar]
  35. Anagnostidis, K. Nomenclatural Changes in Cyanoprokaryotic Order Oscillatoriales. Preslia 2001, 73, 359–375. [Google Scholar]
  36. Guiry, M.D.; Guiry, G.M. AlgaeBase. Available online: https://www.algaebase.org (accessed on 14 February 2023).
  37. Cai, Y.P.; Wolk, C.P. Use of a Conditionally Lethal Gene in Anabaena sp. Strain PCC 7120 to Select for Double Recombinants and to Entrap Insertion Sequences. J. Bacteriol. 1990, 172, 3138–3145. [Google Scholar] [CrossRef]
  38. Felföldi, T.; Somogyi, B.; Márialigeti, K.; Vörös, L. Characterization of Photoautotrophic Picoplankton Assemblages in Turbid, Alkaline Lakes of the Carpathian Basin (Central Europe). J. Limnol. 2009, 68, 385–395. [Google Scholar] [CrossRef]
  39. Kearse, M.; Moir, R.; Wilson, A.; Stones-Havas, S.; Cheung, M.; Sturrock, S.; Buxton, S.; Cooper, A.; Markowitz, S.; Duran, C.; et al. Geneious Basic: An Integrated and Extendable Desktop Software Platform for the Organization and Analysis of Sequence Data. Bioinformatics 2012, 28, 1647–1649. [Google Scholar] [CrossRef]
  40. Altschul, S.F.; Gish, W.; Miller, W.; Myers, E.W.; Lipman, D.J. Basic Local Alignment Search Tool. J. Mol. Biol. 1990, 215, 403–410. [Google Scholar] [CrossRef]
  41. Edgar, R.C. MUSCLE: Multiple Sequence Alignment with High Accuracy and High Throughput. Nucleic Acids Res. 2004, 32, 1792–1797. [Google Scholar] [CrossRef]
  42. Tamura, K.; Stecher, G.; Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 2021, 38, 3022–3027. [Google Scholar] [CrossRef] [PubMed]
  43. Castresana, J. Selection of Conserved Blocks from Multiple Alignments for Their Use in Phylogenetic Analysis. Mol. Biol. Evol. 2000, 17, 540–552. [Google Scholar] [CrossRef] [PubMed]
  44. Churro, C.; Semedo-Aguiar, A.P.; Silva, A.D.; Pereira-Leal, J.B.; Leite, R.B. A Novel Cyanobacterial Geosmin Producer, Revising GeoA Distribution and Dispersion Patterns in Bacteria. Sci. Rep. 2020, 10, 8679. [Google Scholar] [CrossRef]
  45. Finsinger, K.; Scholz, I.; Serrano, A.; Morales, S.; Uribe-Lorio, L.; Mora, M.; Sittenfeld, A.; Weckesser, J.; Hess, W.R. Characterization of True-Branching Cyanobacteria from Geothermal Sites and Hot Springs of Costa Rica. Environ. Microbiol. 2008, 10, 460–473. [Google Scholar] [CrossRef] [PubMed]
  46. Alcorta, J.; Espinoza, S.; Viver, T.; Alcamán-Arias, M.E.; Trefault, N.; Rosselló-Móra, R.; Díez, B. Temperature Modulates Fischerella thermalis Ecotypes in Porcelana Hot Spring. Syst. Appl. Microbiol. 2018, 41, 531–543. [Google Scholar] [CrossRef]
  47. Kaštovský, J.; Johansen, J.R. Mastigocladus laminosus (Stigonematales, Cyanobacteria): Phylogenetic Relationship of Strains from Thermal Springs to Soil-Inhabiting Genera of the Order and Taxonomic Implications for the Genus. Phycologia 2008, 47, 307–320. [Google Scholar] [CrossRef]
  48. Hirose, Y.; Fujisawa, T.; Ohtsubo, Y.; Katayama, M.; Misawa, N.; Wakazuki, S.; Shimura, Y.; Nakamura, Y.; Kawachi, M.; Yoshikawa, H.; et al. Complete Genome Sequence of Cyanobacterium Fischerella Sp. NIES-3754, Providing Thermoresistant Optogenetic Tools. J. Biotechnol. 2016, 220, 45–46. [Google Scholar] [CrossRef] [PubMed]
  49. Kato, S.; Masuda, S.; Shibata, A.; Shirasu, K.; Ohkuma, M. Insights into Ecological Roles of Uncultivated Bacteria in Katase Hot Spring Sediment from Long-Read Metagenomics. Front. Microbiol. 2022, 13, 1045931. [Google Scholar] [CrossRef] [PubMed]
  50. Casamatta, D.A.; Villanueva, C.D.; Garvey, A.D.; Stocks, H.S.; Vaccarino, M.; Dvořák, P.; Hašler, P.; Johansen, J.R. Reptodigitus Chapmanii (Nostocales, Hapalosiphonaceae) Gen. Nov.: A Unique Nostocalean (Cyanobacteria) Genus Based on a Polyphasic Approach1. J. Phycol. 2020, 56, 425–436. [Google Scholar] [CrossRef]
  51. Gugger, M.F.; Hoffmann, L. Polyphyly of True Branching Cyanobacteria (Stigonematales). Int. J. Syst. Evol. Microbiol. 2004, 54, 349–357. [Google Scholar] [CrossRef]
  52. Ishida, T.; Watanabe, M.M.; Sugiyama, J.; Yokota, A. Evidence for Polyphyletic Origin of the Members of the Orders of Oscillatoriales and Pleurocapsales as Determined by 16S RDNA Analysis. FEMS Microbiol. Lett. 2001, 201, 79–82. [Google Scholar] [CrossRef]
  53. Wang, Y.; Jia, N.; Geng, R.; Yu, G.; Li, R. Phylogenetic Insights into Chroococcus-like Taxa (Chroococcales, Cyanobacteria), Describing Cryptochroococcus tibeticus Gen. Nov. Sp. Nov. and Limnococcus fonticola Sp. Nov. from Qinghai-Tibet Plateau. J. Phycol. 2021, 57, 1739–1748. [Google Scholar] [CrossRef]
  54. Alvarenga, D.O.; Andreote, A.P.D.; Branco, L.H.Z.; Delbaje, E.; Cruz, R.B.; Varani, A.d.M.; Fiore, M.F. Amazonocrinis Nigriterrae Gen. Nov., Sp. Nov., Atlanticothrix silvestris Gen. Nov., Sp. Nov. and Dendronalium phyllosphericum Gen. Nov., Sp. Nov., Nostocacean Cyanobacteria from Brazilian Environments. Int. J. Syst. Evol. Microbiol. 2021, 71, 004811. [Google Scholar] [CrossRef] [PubMed]
  55. Genuário, D.B.; Vieira Vaz, M.G.M.; Hentschke, G.S.; Sant’Anna, C.L.; Fiore, M.F. Halotia Gen. Nov., a Phylogenetically and Physiologically Coherent Cyanobacterial Genus Isolated from Marine Coastal Environments. Int. J. Syst. Evol. Microbiol. 2015, 65, 633–675. [Google Scholar] [CrossRef]
  56. Dadheech, P.K.; Glöckner, G.; Casper, P.; Kotut, K.; Mazzoni, C.J.; Mbedi, S.; Krienitz, L. Cyanobacterial Diversity in the Hot Spring, Pelagic and Benthic Habitats of a Tropical Soda Lake. FEMS Microbiol. Ecol. 2013, 85, 389–401. [Google Scholar] [CrossRef]
  57. Pentecost, A. Cyanobacteria Associated with Hot Spring Travertines. Can. J. Earth Sci. 2003, 40, 1447–1457. [Google Scholar] [CrossRef]
  58. Hauerová, R.; Hauer, T.; Kaštovský, J.; Komárek, J.; Lepšová-Skácelová, O.; Mareš, J. Tenebriella Gen. Nov.—The Dark Twin of Oscillatoria. Mol. Phylogenet. Evol. 2021, 165, 107293. [Google Scholar] [CrossRef]
  59. Basu, P.; Satpati, G.G.; Öztürk, S.; Gupta, R.K. Taxonomic and Ecological Aspects of Thermophilic Cyanobacteria from Some Geothermal Springs of Jharkhand and Bihar, India. Egypt. J. Bot. 2023, 63, 315–331. [Google Scholar] [CrossRef]
  60. Smith-Bädorf, H.D.; Chuck, C.J.; Mokebo, K.R.; MacDonald, H.; Davidson, M.G.; Scott, R.J. Bioprospecting the Thermal Waters of the Roman Baths: Isolation of Oleaginous Species and Analysis of the FAME Profile for Biodiesel Production. AMB Express 2013, 3, 9. [Google Scholar] [CrossRef] [PubMed]
  61. Fiore, M.F.; Moon, D.H.; Tsai, S.M.; Lee, H.; Trevors, J.T. Miniprep DNA Isolation from Unicellular and Filamentous Cyanobacteria. J. Microbiol. Methods 2000, 39, 159–169. [Google Scholar] [CrossRef]
  62. Singh, S.P.; Rastogi, R.P.; Häder, D.-P.; Sinha, R.P. An Improved Method for Genomic DNA Extraction from Cyanobacteria. World J. Microbiol. Biotechnol. 2011, 27, 1225–1230. [Google Scholar] [CrossRef]
  63. McGregor, G.B.; Rasmussen, J.P. Cyanobacterial Composition of Microbial Mats from an Australian Thermal Spring: A Polyphasic Evaluation. FEMS Microbiol. Ecol. 2008, 63, 23–35. [Google Scholar] [CrossRef] [PubMed]
  64. Wehr, J.D.; Sheath, R.G. Chapter 2—Habitats of Freshwater Algae. In Freshwater Algae of North America; Wehr, J.D., Sheath, R.G., Kociolek, J.P., Eds.; Aquatic Ecology; Academic Press: Boston, MA, USA, 2015; pp. 13–74. ISBN 978-0-12-385876-4. [Google Scholar]
  65. Beate, B.; Salgado, R. Geothermal Country Update for Ecuador, 2000–2005. In Proceedings of the World Geothermal Congress, Antalya, Turkey, 24–29 April 2005. [Google Scholar]
  66. Carrera-Villacrés, D.; Guevara-García, P.; Hidalgo-Hidalgo, A.; Teresa-Vivero, M.; Maya-Carrillo, M. Removal of Physical Information Chemistry of Spa That Is Utilizing Geothermal Water in Ecuador. Procedia Earth Planet. Sci. 2015, 15, 367–373. [Google Scholar] [CrossRef][Green Version]
  67. Strazzulli, A.; Fusco, S.; Cobucci-Ponzano, B.; Moracci, M.; Contursi, P. Metagenomics of Microbial and Viral Life in Terrestrial Geothermal Environments. Rev. Environ. Sci. Biotechnol. 2017, 16, 425–454. [Google Scholar] [CrossRef]
  68. Oren, A.; Ionescu, D.; Hindiyeh, M.Y.; Malkawi, H.I. Morphological, Phylogenetic and Physiological Diversity of Cyanobacteria in the Hot Springs of Zerka Ma. BioRisk 2009, 3, 69–82. [Google Scholar] [CrossRef][Green Version]
  69. Forlani, G.; Pavan, M.; Gramek, M.; Kafarski, P.; Lipok, J. Biochemical Bases for a Widespread Tolerance of Cyanobacteria to the Phosphonate Herbicide Glyphosate. Plant Cell Physiol. 2008, 49, 443–456. [Google Scholar] [CrossRef]
  70. Bywaters, K.F.; Fritsen, C.H. Biomass and Neutral Lipid Production in Geothermal Microalgal Consortia. Front. Bioeng. Biotechnol. 2015, 2, 82. [Google Scholar] [CrossRef] [PubMed]
  71. Miyairi, S. CO2 Assimilation in a Thermophilic Cyanobacterium. Energy Convers. Manag. 1995, 36, 763–766. [Google Scholar] [CrossRef]
  72. Karatay, S.E.; Dönmez, G. Microbial Oil Production from Thermophile Cyanobacteria for Biodiesel Production. Appl. Energy 2011, 88, 3632–3635. [Google Scholar] [CrossRef]
  73. Maslova, I.P.; Mouradyan, E.A.; Lapina, S.S.; Klyachko-Gurvich, G.L.; Los, D.A. Lipid Fatty Acid Composition and Thermophilicity of Cyanobacteria. Russ. J. Plant Physiol. 2004, 51, 353–360. [Google Scholar] [CrossRef]
  74. Sadettin, S.; Dönmez, G. Bioaccumulation of Reactive Dyes by Thermophilic Cyanobacteria. Process Biochem. 2006, 41, 836–841. [Google Scholar] [CrossRef]
  75. Nishioka, M.; Nishiuma, H.; Miyake, M.; Asada, Y.; Shimizu, K.; Taya, M. Metabolic Flux Analysis of a Poly-β-Hydroxybutyrate Producing Cyanobacterium,Synechococcus sp. MA19, Grown under Photoautotrophic Conditions. Biotechnol. Bioprocess Eng. 2002, 7, 295–302. [Google Scholar] [CrossRef]
  76. Nishioka, M.; Nakai, K.; Miyake, M.; Asada, Y.; Taya, M. Production of Poly-β-Hydroxybutyrate by Thermophilic Cyanobacterium, Synechococcus sp. MA19, under Phosphate-Limited Conditions. Biotechnol. Lett. 2001, 23, 1095–1099. [Google Scholar] [CrossRef]
  77. Miyake, M.; Erata, M.; Asada, Y. A Thermophilic Cyanobacterium, Synechococcus sp. MA19, Capable of Accumulating Poly-β-Hydroxybutyrate. J. Ferment. Bioeng. 1996, 82, 512–514. [Google Scholar] [CrossRef]
  78. Del Castillo, D.; Arroyo, G.; Escorza, J.; Angulo, Y.; Debut, A.; Vizuete, K.; Izquierdo, A.; Arias, M. Development of a Hybrid Cell for Energy Production. Nanotechnology 2021, 32, 415401. [Google Scholar] [CrossRef] [PubMed]
  79. Arroyo, G.; Angulo, Y.; Naranjo, B.; Toscano, F.; Arias, M.T.; Debut, A.; Reinoso, C.; Stael, C.; Soria, J.; Izquierdo, A. Green Synthesis of Antioxidant and Low-Toxicity Gold and Silver Nanoparticles Using Floral Extracts. OpenNano 2025, 26, 100258. [Google Scholar] [CrossRef]
Figure 1. Locations of two invested geothermal springs of Andean region.
Figure 1. Locations of two invested geothermal springs of Andean region.
Microorganisms 13 02763 g001
Figure 2. Sampling sites: (A) El Salado spring; (B) Papallacta spring.
Figure 2. Sampling sites: (A) El Salado spring; (B) Papallacta spring.
Microorganisms 13 02763 g002
Figure 3. Images of cyanobacteria isolated in BG-11 medium and identified under the optical microscope. (A) Tenebriella amphibia B2A; (B) Calothrix sp. B3A; (C) Planktothricoides sp. B4A; (D) Leptolyngbya sp. B5A; (E) Synechococcus sp. B6A; (F) Nostoc sp. P11A; (G) Chroococcales P12A; (H) Nostocales P13A; (I,J) Fisherella sp. P14A; (K) Leptolyngbya sp. P15A; (L) Komvophoron jovis P38A. Scale bar: 30 µm in (A), scale bar: 20 µm (C,FJ,L), scale bar: 10 µm in (B,D,E,K).
Figure 3. Images of cyanobacteria isolated in BG-11 medium and identified under the optical microscope. (A) Tenebriella amphibia B2A; (B) Calothrix sp. B3A; (C) Planktothricoides sp. B4A; (D) Leptolyngbya sp. B5A; (E) Synechococcus sp. B6A; (F) Nostoc sp. P11A; (G) Chroococcales P12A; (H) Nostocales P13A; (I,J) Fisherella sp. P14A; (K) Leptolyngbya sp. P15A; (L) Komvophoron jovis P38A. Scale bar: 30 µm in (A), scale bar: 20 µm (C,FJ,L), scale bar: 10 µm in (B,D,E,K).
Microorganisms 13 02763 g003
Figure 4. Maximum likelihood phylogenetic tree based on partial 16S rRNA gene sequences of representative cyanobacteria belonging to the order Nostocales and Oscillatoriales. Sequences obtained in the present study are indicated in bold, while other sequences were obtained from the GenBank. Numbers near nodes indicate bootstrap values above 50% from 1000 replicates. Salmonella enterica CP015924 was used as an out-group. GenBank accession numbers are shown in parentheses. Scale bar is of 10% substitutions per site.
Figure 4. Maximum likelihood phylogenetic tree based on partial 16S rRNA gene sequences of representative cyanobacteria belonging to the order Nostocales and Oscillatoriales. Sequences obtained in the present study are indicated in bold, while other sequences were obtained from the GenBank. Numbers near nodes indicate bootstrap values above 50% from 1000 replicates. Salmonella enterica CP015924 was used as an out-group. GenBank accession numbers are shown in parentheses. Scale bar is of 10% substitutions per site.
Microorganisms 13 02763 g004
Figure 5. Maximum likelihood phylogenetic tree based on partial 23S rRNA gene sequences of representative cyanobacteria belonging to the order Nostocales and Oscillatoriales. Sequences obtained in the present study are indicated in bold, while other sequences were obtained from the GenBank. Numbers near nodes indicate bootstrap values above 50% from 1000 replicates. Navicula veneta TCC939-sq1 was used as an out-group. GenBank accession numbers are shown in parentheses. Scale bar is of 10% substitutions per site.
Figure 5. Maximum likelihood phylogenetic tree based on partial 23S rRNA gene sequences of representative cyanobacteria belonging to the order Nostocales and Oscillatoriales. Sequences obtained in the present study are indicated in bold, while other sequences were obtained from the GenBank. Numbers near nodes indicate bootstrap values above 50% from 1000 replicates. Navicula veneta TCC939-sq1 was used as an out-group. GenBank accession numbers are shown in parentheses. Scale bar is of 10% substitutions per site.
Microorganisms 13 02763 g005
Table 1. Physicochemical parameters of the water from the El Salado and Papallacta springs.
Table 1. Physicochemical parameters of the water from the El Salado and Papallacta springs.
ParametersEl SaladoPapallacta
Temperature (°C)45–4850–54
pH6.3–6.67.0–7.5
Electrical conductivity (μS/cm)68502080
Cl (mg/L)898404
SO4−2 (mg/L)>70038.4
Na+ (mg/L)>10138.6
K+ (mg/L)>10011.4
Ca++ (mg/L)>50158.4
Mg++ (mg/L)>121.9
Arsenic (mg/L)0.24400.686
Copper (mg/L)<0.05<0.020
Iron (mg/L)8<0.050
Manganese (mg/L)0.50.017
Total alkalinity (mg/L)>100071
Settleable solids (mL/L)<0.1<5.0
Total solids (mg/L)>20001522
Table 2. Width and length determinations of vegetative cells and heterocysts. The ranges are provided in the first row while below them are the means ± standard deviations. N is the sample size.
Table 2. Width and length determinations of vegetative cells and heterocysts. The ranges are provided in the first row while below them are the means ± standard deviations. N is the sample size.
Strain Code/IdentificationVegetative CellsHeterocyst
Location NWidth (µm)Length (µm)NWidth (µm)Length (µm)
B2A
El Salado
Tenebriella
amphibia
3014.2–19.40.1–4.0
(16.4 ± 1.5)(1.5 ± 1.1)
B3A
El Salado
Calothrix sp.301.3–7.92.7–11.5153.3–9.51.7–9.4
(5.2 ± 2)(7.0 ± 2.7)(5.1 ± 1.7)(3.8 ± 2.4)
B4A a
El Salado
Planktothricoides sp. a302.4–5.9
(4.4 ± 0.7)
B5A
El Salado
Leptolyngbya sp.301.4–3.81.5–3.5
(2.5 ± 0.6)(2.5 ± 0.6)
B6A
El Salado
Synechococcus sp.153.1–4.35.2–10.2
(3.8 ± 0.4)(6.7 ± 1.4)
P11A
Papallacta
Nostoc sp.303.9–5.82.8–7.8156.5–9.18.0–13.0
(4.7 ± 0.6)(5.8 ± 1.5)(7.6 ± 0.7)(10.5 ± 1.6)
P12A
Papallacta
Chroococcales159.8–16.49.9–17.1
(12.3 ± 2.3)(12.8 ± 2.2)
P13A
Papallacta
Nostocales 30 3.2–5.92.7–6.0152.1–4.03.0–4.5
(4.4 ± 0.8)(3.9 ± 0.8)(3.4 ± 0.6)(3.9 ± 0.5)
P14A
Papallacta
Fischerella sp.302.7–5.83.5–8.173.8–5.14.5–6.8
(4.3 ± 0.8)(5.2 ± 1.2)(4.5 ± 0.4)(5.2 ± 0.7)
P15A
Papallacta
Leptolyngbya sp.301.5–3.01.0–3.3
(2.3 ± 0.3)(2.5 ± 0.6)
P38A
Papallacta
Komvophoron jovis 301.6–4.71.8–4.3
(2.7 ± 0.9)(3.2 ± 0.6)
a For vegetative cells of B4A morphotype, the length cannot be measured as their cells lacked of visibility below the microscope.
Table 3. Identification of cyanobacteria isolates from two geothermal springs of Ecuador based on morphology and 16S rRNA and 23S rRNA gene sequences.
Table 3. Identification of cyanobacteria isolates from two geothermal springs of Ecuador based on morphology and 16S rRNA and 23S rRNA gene sequences.
Molecular Identification
16S rRNA23S rRNA
Strain CodeMorphological IdentificationAccess. No.
(Fragment Length bp)
Highest Blast Match
(Access. No.) (Identity %)
Access. No.
(Fragment Length bp)
Highest Blast Match
(Access. No.)
(Identity %)
Taxonomic
Assignment
B2A Tenebriella
amphibia
MH090926
(631)
Tenebriella amphibia RMCB18
(MT756311) (99.8)
MH101455
(332)
Trichodesmium erythraeum IMS101
(NR076432) (92.5)
Tenebriella amphibia
B3ACalothrix sp.MH090927
(630)
Calothrix sp. CHAB TP201528
(MT488122) (97.8)
MH101456
(377)
Cylindrospermopsis raciborskii NIES-1262
(LC455652) (96.8)
Calothrix sp.
B4APlanktothricoides sp.MH090928
(629)
Planktothricoides raciborskii PMC 877.14
(MT984287) (99.8)
MH101457
(390)
Limnospira fusiformis SAG 85.79
(CP051185) (92.3)
Planktothricoides raciborskii
P11ANostoc sp.MH090929
(619)
Nostoc sp. PAN-549
(KF921498) (99.2)
MH101458
(379)
Nostoc sp. NIES-4103
(AP018288) (96.3)
Nostoc sp.
P12AChroococcalesMH090931
(632)
Chlorogloeopsis fritschii PCC 6912
(MK953013) (95.9)
MH101459
(379)
Fischerella muscicola SAG 2027
(AM709634) (94.5)
Chroococcalean
cyanobacterium
P13ANostocalesMH090930
(633)
Dendronalium phyllosphericum CENA369
(NR172569) (98.2)
MH101460
(393)
Halotia branconii CENA392 (CP124543) (96.7)Nostocacean
cyanobacterium
P14AFischerella sp.MH090932
(622)
Fischerella muscicola NDUPC001
(JX876898) (100)
MH101461
(378)
Fischerella muscicola SAG 2027
(AM709634) (99.5)
Fischerella muscicola
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Naranjo, R.E.; Izquierdo, A. Morphological and Molecular Characterization of Cyanobacteria Isolated from Two Geothermal Springs of the Central Ecuadorian Andes. Microorganisms 2025, 13, 2763. https://doi.org/10.3390/microorganisms13122763

AMA Style

Naranjo RE, Izquierdo A. Morphological and Molecular Characterization of Cyanobacteria Isolated from Two Geothermal Springs of the Central Ecuadorian Andes. Microorganisms. 2025; 13(12):2763. https://doi.org/10.3390/microorganisms13122763

Chicago/Turabian Style

Naranjo, Renato E., and Andrés Izquierdo. 2025. "Morphological and Molecular Characterization of Cyanobacteria Isolated from Two Geothermal Springs of the Central Ecuadorian Andes" Microorganisms 13, no. 12: 2763. https://doi.org/10.3390/microorganisms13122763

APA Style

Naranjo, R. E., & Izquierdo, A. (2025). Morphological and Molecular Characterization of Cyanobacteria Isolated from Two Geothermal Springs of the Central Ecuadorian Andes. Microorganisms, 13(12), 2763. https://doi.org/10.3390/microorganisms13122763

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop