BACKGROUND AND AIMS: On the basis of morphological evidence, the species involved in South American Pacific coast harmful algal blooms (HABs) has been traditionally recognized as Alexandrium catenella (Dinophyceae). However, these observations have not been confirmed using evidence based on genomic sequence variability. Our principal objective was to accurately determine the species of Alexandrium involved in local HABs in order to implement a real-time polymerase chain reaction (PCR) assay for its rapid and easy detection on filter-feeding shellfish, such as mussels. METHODOLOGY: For species-specific determination, the intergenic spacer 1 (ITS1), 5.8S subunit, ITS2 and the hypervariable genomic regions D1-D5 of the large ribosomal subunit of local strains were sequenced and compared with two data sets of other Alexandrium sequences. Species-specific primers were used to amplify signature sequences within the genomic DNA of the studied species by conventional and real-time PCR. PRINCIPAL RESULTS: Phylogenetic analysis determined that the Chilean strain falls into Group I of the tamarensis complex. Our results support the allocation of the Chilean Alexandrium species as a toxic Alexandrium tamarense rather than A. catenella, as currently defined. Once local species were determined to belong to Group I of the tamarensis complex, a highly sensitive and accurate real-time PCR procedure was developed to detect dinoflagellate presence in Mytilus spp. (Bivalvia) samples after being fed (challenged) in vitro with the Chilean Alexandrium strain. The results show that real-time PCR is useful to detect Alexandrium intake in filter-feeding molluscs. CONCLUSIONS: It has been shown that the classification of local Alexandrium using morphological evidence is not very accurate. Molecular methods enabled the HAB dinoflagellate species of the Chilean coast to be assigned as A. tamarense rather than A. catenella. Real-time PCR analysis based on A. tamarense primers allowed the detection of dinoflagellate DNA in Mytilus spp. samples exposed to this alga. Through the specific assignment of dinoflagellate species involved in HABs, more reliable preventive policies can be implemented.
BACKGROUND AND AIMS: On the basis of morphological evidence, the species involved in South American Pacific coast harmful algal blooms (HABs) has been traditionally recognized as Alexandrium catenella (Dinophyceae). However, these observations have not been confirmed using evidence based on genomic sequence variability. Our principal objective was to accurately determine the species of Alexandrium involved in local HABs in order to implement a real-time polymerase chain reaction (PCR) assay for its rapid and easy detection on filter-feeding shellfish, such as mussels. METHODOLOGY: For species-specific determination, the intergenic spacer 1 (ITS1), 5.8S subunit, ITS2 and the hypervariable genomic regions D1-D5 of the large ribosomal subunit of local strains were sequenced and compared with two data sets of other Alexandrium sequences. Species-specific primers were used to amplify signature sequences within the genomic DNA of the studied species by conventional and real-time PCR. PRINCIPAL RESULTS: Phylogenetic analysis determined that the Chilean strain falls into Group I of the tamarensis complex. Our results support the allocation of the Chilean Alexandrium species as a toxic Alexandrium tamarense rather than A. catenella, as currently defined. Once local species were determined to belong to Group I of the tamarensis complex, a highly sensitive and accurate real-time PCR procedure was developed to detect dinoflagellate presence in Mytilus spp. (Bivalvia) samples after being fed (challenged) in vitro with the Chilean Alexandrium strain. The results show that real-time PCR is useful to detect Alexandrium intake in filter-feeding molluscs. CONCLUSIONS: It has been shown that the classification of local Alexandrium using morphological evidence is not very accurate. Molecular methods enabled the HAB dinoflagellate species of the Chilean coast to be assigned as A. tamarense rather than A. catenella. Real-time PCR analysis based on A. tamarense primers allowed the detection of dinoflagellate DNA in Mytilus spp. samples exposed to this alga. Through the specific assignment of dinoflagellate species involved in HABs, more reliable preventive policies can be implemented.
Harmful algal blooms (HABs) occur throughout the world and are known for their negative
economic and sanitary impacts (Anderson 2009).
Of particular concern are the paralytic shellfish toxins produced mainly by bloom-forming
dinoflagellates in the genus Alexandrium. Over the past few decades,
Alexandrium blooms have extended, covering new territories. In this
sense, expansion of dinoflagellate species could be explained by ocean currents,
human-induced mechanisms such as water from ballasts and global warming, climate adaptation
and colonization of newly generated niches (Anderson
1989). On the other hand, it is also possible that the increasing number of blooms
reported today is the result of a worldwide effort to implement new techniques to detect and
prevent their negative effects (Anderson 2007).
Blooms of different Alexandrium species have been reported from Japan
(Kodama 2010), northwestern Mediterranean Sea
(Vila ),
Australia (Hallegraeff 1998), Caribbean Sea,
off the Venezuelan coast (Halstead and Schantz
1984), Brazil (Persich ), along the American Pacific coasts, from Alaska to the Strait
of Magellan (Suárez ; Glibert ; Hernández ), and from north Atlantic coasts from the Gulf of St Lawrence
to North Carolina (Anderson ). Compared with the numerous studies describing Australian, North American and
Japanese Alexandrium ribotypes and morphotypes, relatively few works
describe their South American counterparts from the South Pacific (Lilly 2003).Historically, Alexandrium species were described based on microscopic
observations of morphological features including plate patterns, cell size and shape, and
secondary characteristics such as chain formation. Unfortunately, these morphological traits
have often proven insufficient for identifying species, leading to confusion concerning the
distribution, ecology and toxicity within this genus (Lilly ). When morphological features are questionable
for taxonomic identification, they must be combined with molecular data for accurate species
definition (Hansen ).Sequence variation analyses have been accepted to be a valid methodology for an accurate
species description. This is even clearer in the Alexandrium genus, which
has been partially reclassified on the basis of molecular genetic data, as the taxonomic
value of only morphological characters proved to be insufficient for the
tamarensis complex (Leaw ). A good example is the taxonomic trait ‘presence or
absence of the ventral pore’, used to discriminate between A. affine
and Alexandrium tamarense. This trait would not be deemed useful for
species identification considering that it is homoplastic (Leaw ).Using the classical species definition for lineage formation (Mayr 1982), Lilly recognize Alexandrium tamarense (Lebour)
Balech, Alexandrium catenella (Whedon and Kofoi) Balech and
Alexandrium fundyense Balech as different species. On the other hand,
phylogenies of Alexandrium species have been established based on genomic
sequences of the large and small subunits of ribosomal DNA (LSU and SSU rDNA, respectively)
(Guillou ; Usup ; John , 2005; Murray
; Rogers
). Of these sequences, the D1/D2 region of the LSU
rDNA has been proved to be the most suited for discrimination of closely related
Alexandrium species (Ki and Han
2007). Thus, this hypervariable region has been proposed as a suitable candidate to
discriminate between species with similar fidelity as Cytochrome Oxidase I gene (Sonnenberg ). Scholin and Anderson (1994, 1996) and Scholin , 1995), based on
DNA sequencing of the divergent D1/D2 LSU rDNA region and restriction fragment length
polymorphism (RFLP) analysis of the small subunit rDNA genes, consider that they could be
strains of the same species, naming them the tamarensis complex. Using
these results as a starting point, Lilly further established the tamarensis complex
as a valid cluster, derived from a phylogenetic analysis comparing more than 126 different
Alexandrium D1/D2 region sequences. Their detailed examination revealed
the presence of five clades, defined as: Group I (North American), Group II (Mediterranean),
Group III (Western European), Group IV (Temperate Asian) and Group V (Tasmanian).In this study, we sequenced local Alexandrium intergenic spacer 1 (ITS1),
5.8S rDNA, ITS2 and D1–D5 hypervariable LSU rDNA regions in order to incorporate
molecular data that could help define more clearly the Alexandrium species
responsible for HABs in Chilean coasts. This is considering that the local South American
Pacific Alexandrium species were classified as A.
catenella (Muñoz 1985),
mainly based on morphological traits, but without a further assessment of sequence
variation. In this sense, species-specific assignment allows the implementation of a
polymerase chain reaction (PCR) assay for accurate monitoring along Chilean coasts in order
to prevent public health hazards and economic losses.
Methods
Cell cultures
Three different clonal Alexandrium cell cultures (ACC01, ACC02, ACC07)
were kindly provided by Professor Benjamín Suárez from the Laboratorio de
Toxinas Marinas, Universidad de Chile. These were collected from Canal Costa in
Aysén region, Chile (45°37′60 S, 73°32′60 W), between
April 1994 and March 1995, and maintained in f/2 medium (Guillard 1975) at 12 °C under a 16 : 8 h light:dark cycle
and 60 μmol m−2 s−1 photon flux density. These
three strains belong to the Chilean algae repository collection used in various national
and international studies (Córdoba and
Müller 2002; Amaro ; Lilly ; Montoya ).
DNA purification from cell cultures
Cells for analysis (100 mL) were collected from each clonal culture at mid-logarithmic
phase and centrifuged at 3000 g for 5 min at 4 °C. The supernatant
was removed, the pellet resuspended in 500 μL of Milli-Q water, and transferred to
a 1.5-mL microfuge tube. Microfuge tubes were placed in liquid nitrogen for 30 s and the
cells subsequently disrupted for 1 min using an Axygen polypropylene pestle (PES-15-B-SI,
Union City, CA, USA). Genomic DNA was then extracted from the pellet using the DNeasy
Plant Mini Kit (Qiagen, Hilden, Germany) according to the
manufacturer's instructions.
Determination of Alexandrium DNA concentration and quality
DNA concentration was measured using a fluorometer (Qubit, Sunnyvale, CA, USA) together
with the Qubit dsDNA BR Assay Kit (Invitrogen, Eugene, OR, USA). The quality was evaluated
based on its integrity by comparison with a 23-kb band of λ-HindIII ladder
(Invitrogen, USA) in 1 % agarose (Ultrapure, Invitrogen, Barcelona, Spain) gel
electrophoresis stained with ethidium bromide.
PCR amplification and sequence analysis
In order to determine the species of the three isolates, the ITS1-D5 rDNA was amplified,
sequenced and then aligned with sequences from GenBank (Ki and Han 2007). All amplifications were carried out in
duplicate with 1× PCR buffer, 20–50 ng of genomic DNA template, 3 mM
MgCl2, 100 µM each dNTP, 0.1 µM each primer and 0.4 U of
recombinant Taq DNA polymerase (MBI Fermentas, Vilnius, Lithuania) in a 10-µL
reaction volume. Polymerase chain reaction primer sequences for LSU rDNA and optimized
annealing temperatures are specified in Table 1. Polymerase chain reaction parameters were: 95 °C for 5
min; 35 cycles of denaturation at 95 °C for 30 s, annealing for 30 s, extension at
72 °C for variable time spans which depended upon the size of the amplifying
fragment (1000 bases min−1); and a final extension at 72 °C for 5
min. Reactions were run on a MaxyGene Gradient thermocycler (Axygen). Five microlitres of
PCR products were analysed by 2 % agarose (Invitrogen, USA) gel electrophoresis
according to standard methods. rDNA PCR amplification products from clones ACC01, ACC02
and ACC07 were purified from gels using the MinElute Gel Extraction Kit (Qiagen) following
the manufacturer's instructions and directly sequenced in an ABI PRISM 3100. An
electropherogram base quality assignment algorithm, phred (Ewing and Green 1998; Ewing
), was used to re-analyse the sequenced fragment of
all strains in order to determine intragenomic polymorphic sites.
Table 1
Primer sequences used in amplifying the ITS1-D5 region in
Alexandrium species.
Primer name
Nucleotide sequence 5′ to 3′
Annealing temperature (°C)
Reference
catF
cctcagtgagattgtagtgc
Between 45 and 65
Hosoi-Tanabe and Sako (2005)
catR
gtgcaaaggtaatcaaatgtcc
tamF
tgcttggtgggagtgttgca
66
Hosoi-Tanabe and Sako (2005)
tamR
taagtccaaggaaggaagcatc
tamF-1
tgagggaaatatgaaaaggac
TD 58–48 (−0.5 )
This study
tamR-1
attcggcaggtgagttgtta
tamF-2
gaaggagaagtcgtaacaagg
TD 58–48 (−0.5 )
This study
tamR-2
caatgccaaggagtgtgac
The annealing temperature for each primer and the study from which the
sequences were obtained are listed.
Primer sequences used in amplifying the ITS1-D5 region in
Alexandrium species.The annealing temperature for each primer and the study from which the
sequences were obtained are listed.Additional confirmation of species identification was achieved by amplifying the
extracted DNA using four microsatellite primers specific to A. catenella
(Nagai ;
Table 2) or A.
tamarense (Alpermann ; Table 2). The amplification conditions were the same as those provided in the original
publications describing the assays.
Table 2
Primer sequences used in amplifying species-specific microsatellite genomic
regions in A. catenella and A.
tamarense.
Primer
Nucleotide sequence 5′ to 3′
Annealing temperature (°C)
Species
Reference
Acat02-F
caagtgaactaaatccgct
60
A. catenella
Nagai et al.
(2005)
Acat02-R
aaaacggaatgtttatgtgc
Acat16-F
tgtctttcttcctgcctgcctt
60
A. catenella
Nagai et al.
(2005)
Acat16-R
ttcaccccagcgaagccattatg
Acat20-F
aggagaaaagtgatgcatctcagcaa
60
A. catenella
Nagai et al.
(2005)
Acat20-R
aatcctgtggatgatggaaggtactg
Acat44-F
tgccccataagggttcttccaga
60
A. catenella
Nagai et al.
(2005)
Acat44-R
gacagtggtattgcaaacccaacggat
ATB1-F
cgcctgctcgagaaaaga
53
A. tamarense
Alpermann et al.
(2006)
ATB1-R
ttgggggacagttgagtttc
ATB8-F
cagggtagccgatcaaacac
TD 61–54 (−0.3)
A. tamarense
Alpermann et al.
(2006)
ATB8-R
cttccatcgccttgcatact
ATD8-F
caacactggaagcgtgctaa
TD 61–54 (−0.3)
A. tamarense
Alpermann et al.
(2006)
ATD8-R
cccatgcgctacctcttaca
ATF11-F
agcagcgcggcgggagatt
TD 68.5–61 (−0.3)
A. tamarense
Alpermann et al.
(2006)
ATF11-R
acctgcggctgcgacacgact
The annealing temperature for each primer, the species and the study from which
the sequences were obtained are listed.
TD, touchdown.
Primer sequences used in amplifying species-specific microsatellite genomic
regions in A. catenella and A.
tamarense.The annealing temperature for each primer, the species and the study from which
the sequences were obtained are listed.TD, touchdown.
Collection, analysis and association of sequences
All selected Alexandrium sequences were obtained using the keywords
‘Alexandrium LSU rDNA’ or ‘Alexandrium 28S in the GenBank database
() [see ADDITIONAL INFORMATION]. For a detailed species-specific analysis, two
data sets were generated. The first was composed of 81 unique sequences at least 641 bp
long, covering the D1/D2 region of the LSU rDNA. This group incorporated 79
Alexandrium genus species (including the local strain), and two
Prorocentrum micans strains that were used as outgroups. The second set
had 18 sequences at least 1776 bp long, of which 16 corresponded to
tamarensis complex (including the local strain), one to A.
minutum and one to A. affine; the last two were used as
outgroups. For both data sets, alignments were carried out in the ClustalX2 V2.0 (Larkin ) graphical
platform.
Substitution model and associated parameter estimation
jModeltest (Posada 2008) was used to find
the best substitution model and associated parameters for phylogenetic analysis in both
data sets using the Akaike (Hirotugu 1974)
and Bayesian (Schwarz 1978) information
criteria.
Phylogenetic analysis
Bayesian analysis was implemented with MrBayes V3.2 (Ronquist ) for the first and second
data sets, and was carried out with 1 500 000 runs, with five separate initial trees, with
the Markov chain Monte Carlo (MCMC) process set to four chains and 25 % of initial
trees discarded as ‘burn-in’. Within each chain, samples were obtained every
100 iterations, and the values of the average deviation of split frequencies (AVSF) and
potential scale reduction factor (PSRF) were obtained. These values were used to evaluate
convergence of the generated trees. Additionally, maximum likelihood analysis was carried
out in PhyML V3.0 (Guindon and Gascuel 2003)
in order to further support taxon assignment. Analysis was started with a random tree
sample (Subtree pruning and regrafting method) and 1000 bootstrap replicate runs.Figtree V1.3.1 (Andrew Rambaut. FigTree v1.3.1 2006–2009. ) was used for a graphical
visualization and representation of PhyML and MrBayes output trees.In order to estimate the nucleotide differences within the tamarensis
complex in each data set, the values for the average number of differences per pair of
sequences aligned within each group and the number of parsimonious informative sites were
calculated in the MEGA 5.05 program (Tamura
).
Alexandrium DNA detection in challenged Mytilus
samples by real-time PCR
An in situ experimental protocol for dinoflagellate challenge was
developed in order to implement it subsequently for Alexandrium detection
in filter-feeding shellfish and water columns. The experiments were performed in
quadruplicate using four experimental aquaria of 15 L, containing five mussels each (one
mussel from each aquarium for each of the 5 days was used for DNA extraction).Individuals of the edible musselMytilus were transported to the
laboratory, where they were acclimatized for 1 week at 14 °C and seawater salinity
of 30 practical salinity units. During this period, mussels were continuously fed with the
microalga Isochrysis galbana at 1.5 mg L−1 using a
peristaltic pump and providing constant aeration. The seawater was changed every 48 h.
Following acclimation, the mussels were exposed to a contaminated diet (1.7–2.0 mg
L−1; dry weight) containing 50 % toxic dinoflagellate
Alexandrium strain ACC02 and 50 % I. galbana
(by weight) for a period of 12 days, followed by a detoxification period of 15 days where
they were fed with I. galbana. Every day the aquaria received an amount
of food representing 2 % of the dry body weight of the experimental mussels (Shafee 1976), delivered continuously using a
Masterflex 7519-05 peristaltic pump at the temperature and salinity cited above. One
mussel from each replicate aquarium was taken on Days 2, 3, 4 and 5 of the toxic feeding
cycle and on Day 15 of the detoxification cycle. Animals were immediately processed for
purification of gill DNA.To determine the possibility of detecting Alexandrium DNA in challenged
mussel tissue, we used real-time PCR. Experiments were run in triplicate, for each sample,
on an Eco real-time PCR System (Illumina, San Diego, CA, USA) using Quantace SensiMix
HRMtm kit (Bioline, London, UK). Reaction conditions were: 1 ×
SensiMix HRM buffer, 0.6 μL of EvaGreen dye, 0.5 μM primers tamF and tamR
(Hosoi-Tanabe and Sako 2005), and 100 ng of
challenged Mytilus spp. gill DNA in a 10-μL final reaction volume.
The PCR protocol cycling was: a 10-min initial activation step at 94 °C, followed
by 40 cycles of 94 °C for 30 s, 55.3 °C for 30 s and 72 °C for 30 s.
A PCR amplification product of 235 bp (Fig. 1) obtained with tamF and tamR was purified and sequenced in order to
corroborate specificity.
Fig. 1
Amplification of local M = 100-bp DNA size marker. Species-specific
amplification in the rDNA region using A. catenella and A.
tamarense primers were carried out in a MaxiGene Gradiente thermocycler
(Axygen) in 1× PCR buffer, 20–50 ng of genomic DNA template, 3 mM
MgCl2, 100 µM each dNTP, 0.1 µM each primer and 0.4 U of
TopTaq DNA polymerase (Fermentas) in a 10-µL reaction volume. Five
microlitres of each PCR product were analysed in a 2 % agarose gel. A
Fermentas GeneRuller™ 100-bp DNA ladder was used for size estimation of
amplified fragments.
Amplification of local M = 100-bp DNA size marker. Species-specific
amplification in the rDNA region using A. catenella and A.
tamarense primers were carried out in a MaxiGene Gradiente thermocycler
(Axygen) in 1× PCR buffer, 20–50 ng of genomic DNA template, 3 mM
MgCl2, 100 µM each dNTP, 0.1 µM each primer and 0.4 U of
TopTaq DNA polymerase (Fermentas) in a 10-µL reaction volume. Five
microlitres of each PCR product were analysed in a 2 % agarose gel. A
Fermentas GeneRuller™ 100-bp DNA ladder was used for size estimation of
amplified fragments.
DNA purification from challenged Mytilus gill tissue
Mussels were randomly taken from each of the four aquaria (replicates) on each day of
sampling. Animals were dissected alive and 30 g of drained gill tissue were used as the
starting material for DNA purification with DNeasy Blood & Tissue Kit (Qiagen)
according to the manufacturer's protocol. Each sample of purified DNA was stored at
−20 °C. As explained below, the gill was considered as a useful source of
Alexandrium DNA as particulate materials, such as unicellular
organisms, tend to accumulate in this organ (Jørgensen 1996; Riisgard ) and other tissues such as the hepatopancreas do not provide
DNA with the integrity needed for this type of study.
Results
PCR amplification of microsatellite genomic regions
The results of the species-specific PCR of eight microsatellite genomic regions were
consistent in all three isolates, amplifying only those directed towards A.
tamarense and not to A. catenella (Fig. 2). No changes could be observed with the
A. catenella set of primers despite the numerous protocol modifications
of PCR conditions.
Fig. 2
Lanes 7 and 8 correspond to controls with primers
ATB8 without DNA. (B) Specific amplification with primers ATB1 (lanes 1, 2 and 3)
and ATF11 (lanes 6, 7 and 8). Lanes 4–5 and 9–10 are controls without
DNA for primer sets ATB1 and ATF11, respectively. M = 100-bp DNA size marker.
Species-specific microsatellite amplifications using A. catenella
and A. tamarense primers were carried out in a MaxiGene Gradiente
thermocycler (Axygen) in 1× PCR buffer, 20–50 ng of genomic DNA
template, 3 mM MgCl2, 100 µM each dNTP, 0.1 µM each primer
and 0.4 U of TopTaq DNA polymerase (Fermentas) in a 10-µL reaction volume.
Five microlitres of each PCR product were analysed in a 2 % agarose gel. A
Fermentas GeneRullerTM 100-bp DNA ladder was used for size estimation of
amplified fragments.
Lanes 7 and 8 correspond to controls with primers
ATB8 without DNA. (B) Specific amplification with primers ATB1 (lanes 1, 2 and 3)
and ATF11 (lanes 6, 7 and 8). Lanes 4–5 and 9–10 are controls without
DNA for primer sets ATB1 and ATF11, respectively. M = 100-bp DNA size marker.
Species-specific microsatellite amplifications using A. catenella
and A. tamarense primers were carried out in a MaxiGene Gradiente
thermocycler (Axygen) in 1× PCR buffer, 20–50 ng of genomic DNA
template, 3 mM MgCl2, 100 µM each dNTP, 0.1 µM each primer
and 0.4 U of TopTaq DNA polymerase (Fermentas) in a 10-µL reaction volume.
Five microlitres of each PCR product were analysed in a 2 % agarose gel. A
Fermentas GeneRullerTM 100-bp DNA ladder was used for size estimation of
amplified fragments.
Analysis based on ITS1-D5 LSU rDNA sequences
Sequence analysis and evaluation
Electropherogram profiles from the ITS1-D5 region of the rDNA of strains ACC01, ACC02
and ACC03 were analysed with the phred algorithm in order to discard the presence of
pseudogenes or intragenomic rDNA polymorphisms (IRP). Only bases with scores over 30
(sequencing error probability 1/1000) were considered for further analysis. As no
nucleotide differences were obtained for this region between the three local
Alexandrium strains, only one sequence, Ach01, was used as a
representative of them (NCBI accession no. JN657223).
Substitution model and associated parameter evaluation
Analysis by jModeltest estimated that the GTR + Γ was the best
substitution model for later Bayesian and maximum likelihood analysis. If a given model
was not an option in MrBayes, the following least restrictive model was used (e.g.
GTR).
Phylogenetic analysis
Using 81 sequences of length 641 bp, all aligning in the same D1/D2 LSU rDNA region,
from different species of the genus Alexandrium and two strains of
P. micans, the phylogenetic distribution of local
Alexandrium strains could be estimated (Fig. 3). Convergence of Bayesian trees was evaluated
through AVSF and PSRF. Values were less than 0.01 and ∼1 ±0.005,
respectively, suggesting that the distribution reached a stationary phase in both data
sets. Additionally, bootstrap values and the logarithm of the likelihood score of the
optimal tree (−4229.43342) extracted by maximum likelihood analysis were
indicative of a precise tree. The results indicate that the local
Alexandrium strain is in Group I, dominated by A.
tamarense, and is grouped with other previously sequenced
Alexandrium strains from Chilean waters (ACC01, ACC02 and ACC07;
Fig. 3).
Fig. 3
Phylogenetic tree of 80 Sequences were obtained from the GenBank database using
the keywords ‘Alexandrium LSU rDNA’ or ‘Alexandrium
28S’. Phylogenetic trees were generated for an alignment of 81 sequences of
641 bp in the D1/D2 region through Bayesian inference in MrBayes V3.2 and maximum
likelihood (ML) in PhyML. Bayesian analysis was carried out with 1 500 000 runs,
with five separate initial trees. Convergence was checked through PSRF and AVSF.
FigTree V1.3.1 was used as a visual representation of output trees. For ML
analysis these were carried out with 1000 bootstrap replicates.
Phylogenetic tree of 80 Sequences were obtained from the GenBank database using
the keywords ‘Alexandrium LSU rDNA’ or ‘Alexandrium
28S’. Phylogenetic trees were generated for an alignment of 81 sequences of
641 bp in the D1/D2 region through Bayesian inference in MrBayes V3.2 and maximum
likelihood (ML) in PhyML. Bayesian analysis was carried out with 1 500 000 runs,
with five separate initial trees. Convergence was checked through PSRF and AVSF.
FigTree V1.3.1 was used as a visual representation of output trees. For ML
analysis these were carried out with 1000 bootstrap replicates.In order to achieve further resolution of the tamarensis complex, 18
sequences longer than 1776 bp, from different species and strains of the
tamarensis complex, located in the rDNA region were analysed
(Fig. 4). The total alignment
involved ITS1, 5.8S rDNA, ITS2 and 1185-bp of the D1–D5 regions of the 28S rDNA
(Ki and Han 2007). Sequences of
A. minutum and A. affine were selected as outgroup
species for the tamarensis complex.
Fig. 4
Phylogenetic tree of 17 Sequences were obtained from the GenBank database using the
keywords ‘Alexandrium LSU rDNA’ or ‘Alexandrium 28S’.
Phylogenetic trees were generated for an alignment of 18 sequences of 1776 bp in
the ITS1-D5 region through Bayesian inference in MrBayes V3.2 and maximum
likelihood (ML) in PhyML. Bayesian analysis was carried out with 1 500 000 runs,
with five separate initial trees. Convergence was checked through PSRF and AVSF.
FigTree V1.3.1 was used as a visual representation of output trees. For ML
analysis these were carried out with 1000 bootstrap replicates.
Phylogenetic tree of 17 Sequences were obtained from the GenBank database using the
keywords ‘Alexandrium LSU rDNA’ or ‘Alexandrium 28S’.
Phylogenetic trees were generated for an alignment of 18 sequences of 1776 bp in
the ITS1-D5 region through Bayesian inference in MrBayes V3.2 and maximum
likelihood (ML) in PhyML. Bayesian analysis was carried out with 1 500 000 runs,
with five separate initial trees. Convergence was checked through PSRF and AVSF.
FigTree V1.3.1 was used as a visual representation of output trees. For ML
analysis these were carried out with 1000 bootstrap replicates.For maximum likelihood analysis, the logarithm of the likelihood score of the optimal
tree was −6591.25984. As expected, the results were again consistent and the
local Alexandrium strain was allocated to Group I of the
tamarensis complex.Topologies for trees generated through maximum likelihood and Bayesian inference were
the same, and had high bootstrap and posterior probability values (Figs 3 and 4). Group generation was carried out analysing clades formation and the
previous literature. Comparing the structure of both trees, using 18 or 81 sequence
alignments, the same clades were formed.In order to obtain information on the variability of the amplified region for both data
sets, the average number of differences per pair of sequences aligned and the number of
parsimonious sites were measured. For the first data set, values were 8.37 bp and 130,
respectively. On the other hand, for the second data set, the average number of
differences per pair of sequences aligned was 52.03 bp and the number of parsimonious
sites was 298. Considering the 1185-bp segment covering only the LSU rDNA region, the
amount of parsimonious informative sites and the average number of differences per pair
of sequences aligned decreases from 298 to 174 and from 52.02 to 35 bp, representing a
fall of 42 and 32 %, respectively, with respect to the whole amplified
region.From each aquarium, DNA from the gill tissues of five different randomly picked
Mytilus challenged in vivo with
Alexandrium strain ACC02 were used to detect the presence of A.
tamarense through a real-time PCR assay with species-specific primers. We
obtained similar and positive results for the samples, which were extracted between Days 2
and 5 of the toxicfeeding phase, with Ct values ranging from 21 to 22. On the other hand,
all samples extracted on Day 15 of the detoxification phase gave no specific
amplification, indicating that there was no detectable Alexadrium DNA in
the Mytilus samples (Table 3). Replicates of Mytilus samples challenged in parallel in
four independent aquaria showed the same pattern, confirming the detection of
Alexandrium in Mytilus gills during the toxic phase.
Through amplicon melt analysis and direct sequencing of the 235-bp PCR-amplified fragment,
the region corresponded to the expected specific sequence within the D1/D2 LSU rDNA
domain, according to Hosoi-Tanabe and Sako
(2005).
Table 3
Detection of Alexandrium DNA in gill tissue samples from
challenged Mytilus through days 2 to 27 by q-PCR.
Sample
Challenge periods (days)
Ct
1
2a
21.0
2
3a
21.2
3
4a
21.1
4
5a
22.0
5
15b
NA
Mytilus were exposed to a contaminated diet (1.7–2.0 mg
L−1; dry weight) containing 50 % toxic dinoflagellate
Alexandrium strain ACC02 and 50 % I.
galbana (by weight) for a period of 12 days, followed by a
detoxification period of 15 days, where they were fed with I.
galbana. Animals were dissected alive on Days 2, 3, 4 and 5 of the
toxic phase and Day 15 of the detoxification phase, and 30 g of drained gill
tissue were used as the starting material for DNA purification with the DNeasy
Blood & Tissue Kit (Qiagen) according to the manufacturer's
protocol. Real-time PCR assays using species-specific A.
tamarense primers were carried out in extracted DNA from
Mytilus in order to determine the possibility of detecting
Alexandrium DNA in challenged mussel tissue. NA, no
amplification.
aDays in toxic phase.
bDays in detoxification phase.
Detection of Alexandrium DNA in gill tissue samples from
challenged Mytilus through days 2 to 27 by q-PCR.Mytilus were exposed to a contaminated diet (1.7–2.0 mg
L−1; dry weight) containing 50 % toxic dinoflagellate
Alexandrium strain ACC02 and 50 % I.
galbana (by weight) for a period of 12 days, followed by a
detoxification period of 15 days, where they were fed with I.
galbana. Animals were dissected alive on Days 2, 3, 4 and 5 of the
toxic phase and Day 15 of the detoxification phase, and 30 g of drained gill
tissue were used as the starting material for DNA purification with the DNeasy
Blood & Tissue Kit (Qiagen) according to the manufacturer's
protocol. Real-time PCR assays using species-specific A.
tamarense primers were carried out in extracted DNA from
Mytilus in order to determine the possibility of detecting
Alexandrium DNA in challenged mussel tissue. NA, no
amplification.aDays in toxic phase.bDays in detoxification phase.
Discussion
The study of HABs has become increasingly important given the recent rise in the number and
frequency of toxic events, and associated adverse impacts on public health, fisheries and
ecosystem services (Anderson 1989; Cassis ). This threat
has led to extensive investigation on how to develop international standards for the
detection of toxins in seafood and on the implementation of expanded monitoring programmes
for toxic algae. One of the most frequently used methods for the evaluation of toxins in HAB
episodes worldwide has been the mouse bioassay. Unfortunately, this technique does not
always provide accurate estimates of toxicity (Fernández ) and requires considerable resources
and time. Moreover, this technique has been questioned with regard to animal welfare and is
prohibited in some countries. In this context, increasing efforts have been focused on
monitoring the toxic algae directly to predict their occurrence and better allocate sampling
effort, particularly with regard to toxin analysis.In this paper, we present phylogenetic analyses using ITS1-D5 rDNA sequence data which
demonstrate that the Chilean strains analysed belong to Group I in the
tamarensis complex, rather than to the A. catenella
grouping (Scholin ;
Medlin ; Higman ; Lilly ). The first
studies concerning Chilean HABs carried out 40 years ago, based on morphological
observations, identified A. catenella as the dominant
Alexandrium species (Muñoz
1985). This identification has never been questioned or assessed by more accurate
methods such as genomic sequencing. The phylogenetic analysis carried out in this study
clearly indicates that the local Alexandrium species belongs to the Group I
ribotype. This group is mainly composed of A. tamarense, in contrast to
Group IV in which the predominant species is A. catenella. Similarly,
phylogenetic trees based on Alexandrium toxin variability showed that
strains from Argentina, Brazil, Chile and Uruguay belonged to the same clade, paralleling
the Group I results (Montoya ). As red tide blooms have been present since the 19th century
in Chile and Brazilian, Uruguayan and Argentinian events are more recent, it has been
proposed that toxic episodes in Eastern South America could be due to the expansion of
Chilean Alexandrium species (Lilly
). Even more, Uruguayan and Brazilian strains have
been classified as A. tamarense in Group I, consistent with our findings in
relation to the fact that Chilean species, supporting the hypothesis that the local strain
was missclassified as A. catenella.Very recently, Miranda discussed the validity of using direct amplification sequences of the rDNA
subunits as a suitable method for strain differentiation in Alexandrium
species, due to the existence of paralogue genes. In this respect, base quality
discrimination did not give evidence of paralogue sequences. On the other hand, Ki and Han (2007), eliminating paralogue sequences
for their analysis, found 39 parsimony informative sites within the D1–D5 LSU rDNA
region in five different Alexandrium species. Our study found a much higher
value of parsimony variable sites (174) when our local sequence was aligned with published
sequences, which probably contained paralogue DNA regions. It is unlikely that this
considerable difference could be explained by increased mutation rates in the sequenced
regions. Thus, this result agrees with Miranda et al. (2012), who suggest
that the great diversity in Group I of the tamarensis complex could be due
to the lack of an accurate discrimination of paralogue sequences.The sequence analysis facilitated the use of a specific and highly sensitive real-time PCR
assay to detect local Alexandrium. Owing to the ability of filter-feeding
molluscs to capture and concentrate phytoplankton, by pumping water through their gill
filaments, we tested the possibility of detecting dinoflagelate DNA in this organ of
challenged mussels. Preliminary experimental results showed, for the first time, the
implementation of a practical test to detect these algae in gill tissue extracted from
mussels challenged under laboratory conditions. Currently, we are working on the
implementation of this test in field samples in order to detect traces of
Alexandrium in seawater. It would be very useful to count with methods to
detect traces of dinoflagellates, in order to predict massive algal blooming through
constant monitoring of red tide episodes, thus preventing human consumption of toxic
filter-feeding shellfish.
Conclusions and forward look
Traditionally, South American Pacific HABs have been assigned to A.
catenella, based only on morphological evidence that has proven to be an
unreliable indicator of species identification within the A. tamarense
complex (Lilly ).This study was focused on the molecular identification of the Alexandrium
species that causes paralytic shellfish poisoning in Chilean coasts (Hernández ). Phylogenetic
analyses based on sequence data and species-specific PCR assays targeting LSU rDNA and
microsatellite regions, all demonstrate that cultures isolated from Chilean coasts belong to
the tamarensis complex Group I and are not A. catenella
(Figs 1 and 2, Tables 1 and
2, Hosoi-Tanabe and Sako 2005).As not all A. tamarense are toxic, we are currently developing a real-time
PCR assay based on primer pairs that target signature nucleic acid sequences of genes
involved in toxin production. Our goal is to set up a new technique for early, sensitive and
accessible HAB detection in order to avoid the important financial damage and public health
issues.
Additional information
The following additional information is available in the online version of this article
–Sequences used for phylogenetic analyses.File 1: DNA sequences used in this study. Strain assignment, morphospecies, origin and
accession number in GenBank are given when available.
Accession numbers
The Ach01 (NCBI accession no. JN657223) sequence was uploaded to GenBank.
Sources of funding
This work was funded by the Corporación del fomento de la
producción (Corfo) of Chile through the INNOVA Chile Project
#07CN13PPD-240.
Contributions by the authors
A.J. and G.F. did the sequence analysis, phylogenetic analysis, PCR experiments and writing
of the manuscript. M.A., P.O., J.E.T. and J.M.N. contributed with the challenge of the
Mytilus spp. samples with local Alexandrium species.
V.M. developed the idea, provided further inputs during the project and contributed to the
financial means for carrying out the project.
Authors: Ana M Amaro; María S Fuentes; Sandra R Ogalde; Juan A Venegas; Benjamín A Suárez-Isla Journal: J Eukaryot Microbiol Date: 2005 May-Jun Impact factor: 3.346
Authors: Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck Journal: Syst Biol Date: 2012-02-22 Impact factor: 15.683