In Situ Collection and Preservation of Intact Microcystis Colonies to Assess Population Diversity and Microcystin Quotas

Abstract

Understanding of colony specific properties of cyanobacteria in the natural environment has been challenging because sampling methods disaggregate colonies and there are often delays before they can be isolated and preserved. Microcystis is a ubiquitous cyanobacteria that forms large colonies in situ and often produces microcystins, a potent hepatotoxin. In the present study a new cryo-sampling technique was used to collect intact Microcystis colonies in situ by embedding them in a sheet of ice. Thirty-two of these Microcystis colonies were investigated with image analysis, liquid chromatography-mass spectrometry, quantitative polymerase chain reaction and high-throughput sequencing to assess their volume, microcystin quota and internal transcribed spacer (ITS) genotype diversity. Microcystin quotas were positively correlated to colony volume (R² = 0.32; p = 0.004). Individual colonies had low Microcystis ITS genotype diversity and one ITS operational taxonomic unit predominated in all samples. This study demonstrates the utility of the cryo-sampling method to enhance the understanding of colony-specific properties of cyanobacteria with higher precision than previously possible.

Full text

toxins
Communication
In Situ Collection and Preservation of Intact
Microcystis Colonies to Assess Population Diversity
and Microcystin Quotas
Jonathan Puddick 1, * , Eric O. Goodwin 1, Ian Hawes 2, David P. Hamilton 3and
Susanna A. Wood 1
1Cawthron Institute, Nelson 7010, New Zealand
2University of Waikato Coastal Marine Field Station, Sulphur Point, Tauranga 3110, New Zealand
3Australian Rivers Institute, Griffith University, Brisbane 4111, Australia
*Correspondence: jonathan.puddick@cawthron.org.nz; Tel.: +64-3-548-2319
Received: 16 June 2019; Accepted: 22 July 2019; Published: 24 July 2019


Abstract:
Understanding of colony specific properties of cyanobacteria in the natural environment
has been challenging because sampling methods disaggregate colonies and there are often delays
before they can be isolated and preserved. Microcystis is a ubiquitous cyanobacteria that forms large
colonies in situ and often produces microcystins, a potent hepatotoxin. In the present study a new
cryo-sampling technique was used to collect intact Microcystis colonies in situ by embedding them in
a sheet of ice. Thirty-two of these Microcystis colonies were investigated with image analysis, liquid
chromatography-mass spectrometry, quantitative polymerase chain reaction and high-throughput
sequencing to assess their volume, microcystin quota and internal transcribed spacer (ITS) genotype
diversity. Microcystin quotas were positively correlated to colony volume (R
2
=0.32; p=0.004).
Individual colonies had low Microcystis ITS genotype diversity and one ITS operational taxonomic
unit predominated in all samples. This study demonstrates the utility of the cryo-sampling method
to enhance the understanding of colony-specific properties of cyanobacteria with higher precision
than previously possible.
Keywords:
cryo-sampling; cyanobacteria; cyanotoxin; high-throughput sequencing; internal
transcribed spacer region; liquid chromatography-mass spectrometry; quantitative polymerase
chain reaction
Key Contribution:
Using a new cryo-sampling technique this study demonstrates a positive
relationship between Microcystis colony size and microcystin quotas. Analysis of the internal
transcribed spacer region using high-throughput sequencing showed that one genotype dominated
within colonies.
1. Introduction
Microcystis is a common genus of bloom-forming freshwater cyanobacteria that is frequently
associated with the production of the cyanotoxin microcystin [
1
]. It is characterised by small cells
(ca. 1–8
µ
m) that often aggregate into large colonies [
2
]. Colonies, potentially made up of hundreds of
thousands of cells, are held together in an organic matrix comprised of a range of secreted organic
polymers such as polysaccharides, nucleic acids, phospholipids and/or proteins [
3
,
4
]. Microcystins are
cyclic heptapeptides, which are non-ribosomally synthesised by a multifunctional enzyme complex [
5
]
and more than 250 microcystin structural congeners have been described to-date [
6
]. The toxins
predominantly affect the liver cells of mammals as they cannot be translocated across the membranes
of most tissues and are actively transported into hepatocytes [
7
] by organic anion-transporting
Toxins 2019,11, 435; doi:10.3390/toxins11080435 www.mdpi.com/journal/toxins

Toxins 2019,11, 435 2 of 9
polypeptides [
8
]. Inhibition of hepatocyte protein phosphatases results in excessive signaling, leading
to cellular disruption due to intermediate filaments of cytokeratin in the cytoskeleton becoming
hyperphosphorylated [9], or cell proliferation and tumor promotion [10].
Previous research has identified a positive relationship between Microcystis colony size and
microcystin production. Kurmayer et al. [
11
] used a sieving procedure to separate natural populations
of Microcystis colonies into different size classes. They showed that larger colony size classes contained
a greater proportion of cells with microcystin-producing genotypes and had higher microcystin quotas
(i.e., the amount of microcystin per cell). These observations corroborate the results of an experiment
conducted by Gan et al. [
12
], where Microcystis cultures supplemented with extracellular microcystin
developed larger colonies than control cultures. Colony formation benefits cyanobacteria through
increased buoyancy as cell diameter increases [
13
], which in turn enables colonies to access higher
light levels at the water surface [14,15] and to reduce predation [16,17].
A cryo-sampling technique was recently developed to collect and preserve cyanobacteria samples in
situ [
18
]. Metal probes chilled with liquid nitrogen were used to almost instantaneously freeze samples.
The cryo-sampling overcomes conventional sample processing artefacts of colony disaggregation
through sieving and delay between sample collection, colony isolation and preservation. The
cryo-sampling technique also allows for the accurate determination of colony size and for individual
colonies to be assessed. In the present study, Microcystis colonies were collected in situ using a
‘surface snatcher’ cryo-sampler to test the hypothesis that larger cyanobacteria colonies have higher
microcystin quotas and to evaluate the internal transcribed spacer (ITS) genotype composition of
individual Microcystis colonies.
2. Results
Microcystis colonies were collected in situ from three locations at Lake Rotorua (Kaikoura,
New Zealand) using a cryo-sampling technique designed to encapsulate cyanobacterial colonies in a
sheet of ice. Thirty ice sheets were collected and preserved frozen. The volume of 32 frozen Microcystis
colonies was determined by image analysis (Supplementary Table S1) before colonies were individually
removed from the ice sheets. Subsets of the samples were assessed for microcystin quota (n=12), the
diversity of the Microcystis population (n=8) or both (n=12).
Microcystins were detected in all of the colony samples analysed using liquid
chromatography-tandem mass spectrometry (LC-MS/MS; Supplementary Table S2). Two microcystin
congeners were present; dmMC-LR in higher concentrations and didmMC-LR in lower relative
concentrations. Microcystin quotas of the cells in the colonies were positively correlated to colony
volumes (p=0.004, R
2
=0.32; Figure 1). A relationship was also observed between the log
10
-transformed
data (p=0.02, R
2
=0.22). Microcystin quotas of colonies from different collection sites/dates were not
significantly different (p=0.17).
The Microcystis ITS genotype composition of 20 colonies was assessed by high-throughput
sequencing (HTS). Ten operational taxonomic units (OTUs) from the genus Microcystis were observed
in the samples, although seven of the OTUs each comprised
≤
0.5% of the sequence reads for an
individual colony (OTU_3, OTU_4, OTU_5, OTU_6, OTU_7, OTU_13 and OTU_436; Figure 2). Three
OTUs (OTU_1, OTU_2 and OTU_8) comprised
≥
1% of the sequence reads of an individual colony. Of
these, OTU_8 comprised
≥
71% of the sequence reads in the colonies (assessed by HTS) and >99% of
the sequence reads in nine of the colonies (CC-33, -34, -37, -52, -61, -62, -63, -66, -70).
There was no relationship between colony size and proportion of reads for OTU_1 (p=0.31) or
OTU_2 (p=0.46). The Microcystis ITS sequence diversity in the individual colonies was affected to
some degree by collection site/time. For example, OTU_8 comprised 98.9% of the reads in colonies
collected from Collection 2 (Boat Bay) and
≥
99.4% in the colonies collected from Collection 3 (Pontoon;
Supplementary Table S3). These samples were collected from the South-eastern side of Lake Rotorua
on 13 April 2014. Collections on the South-western side of the lake were conducted on 14 April 2014
(Launch Bay) and contained greater Microcystis population diversity with lower proportions of OTU_8

Toxins 2019,11, 435 3 of 9
and higher proportions of OTU_1 (0.1–24.7%) and OTU_2 (0.1–3.1%) sequence reads. When only
samples from Site 5 (where the greatest level of ITS genotype diversity was observed) were assessed,
there was still no relationship between colony size and proportion of reads for OTU_1 (p=0.25) or
OTU_2 (p=0.47).
Toxins 2019, 11 FOR PEER REVIEW 3
Figure 1. The relationship between microcystin cell quota and Microcystis colony size for samples
collected in situ using the surface snatcher cryo-sampler.
The Microcystis ITS genotype composition of 20 colonies was assessed by high-throughput
sequencing (HTS). Ten operational taxonomic units (OTUs) from the genus Microcystis were observed
in the samples, although seven of the OTUs each comprised ≤ 0.5% of the sequence reads for an
individual colony (OTU_3, OTU_4, OTU_5, OTU_6, OTU_7, OTU_13 and OTU_436; Figure 2). Three
OTUs (OTU_1, OTU_2 and OTU_8) comprised ≥ 1% of the sequence reads of an individual colony.
Of these, OTU_8 comprised ≥ 71% of the sequence reads in the colonies (assessed by HTS) and > 99%
of the sequence reads in nine of the colonies (CC-33, -34, -37, -52, -61, -62, -63, -66, -70).
There was no relationship between colony size and proportion of reads for OTU_1 (p = 0.31) or
OTU_2 (p = 0.46). The Microcystis ITS sequence diversity in the individual colonies was affected to
some degree by collection site/time. For example, OTU_8 comprised 98.9% of the reads in colonies
collected from Collection 2 (Boat Bay) and ≥ 99.4% in the colonies collected from Collection 3
(Pontoon; Supplementary Table S3). These samples were collected from the South-eastern side of
Lake Rotorua on 13 April 2014. Collections on the South-western side of the lake were conducted on
14 April 2014 (Launch Bay) and contained greater Microcystis population diversity with lower
proportions of OTU_8 and higher proportions of OTU_1 (0.1–24.7%) and OTU_2 (0.1–3.1%) sequence
reads. When only samples from Site 5 (where the greatest level of ITS genotype diversity was
observed) were assessed, there was still no relationship between colony size and proportion of reads
for OTU_1 (p = 0.25) or OTU_2 (p = 0.47).
Figure 1.
The relationship between microcystin cell quota and Microcystis colony size for samples
collected in situ using the surface snatcher cryo-sampler.
Toxins 2019, 11 FOR PEER REVIEW 4
Figure 2. Relative abundance of internal transcribed spacer gene operational taxonomic units (OTUs)
of 20 Microcystis colonies collected in situ using the surface snatcher cryo-sampler (site numbers are
provided at the top of the chart).
3. Discussion
Using cryo-samplers, we investigated the hypothesis that larger Microcystis colonies have higher
microcystin quotas. Previous research by Kurmayer, Christiansen and Chorus [11] showed that the
Microcystis cells of larger colony size classes from Lake Wannsee (Germany) had higher microcystin
quotas. The results achieved using the cryo-samplers [18] confirmed this previous observation, but
the ability to determine the colony volume (rather than a size class) allowed the relationship between
colony volume and microcystin quota to be assessed more precisely. Whilst the relationship between
colony volume and microcystin quota was statistically significant (p = 0.004), the relationship was not
particularly strong (R
2
= 0.32). This may be due to other factors, not assessed during the present study,
influencing microcystin quotas. Cryo-sampling also minimised sampling artefacts associated with
delay before sample preservation and colony disaggregation from sieving. Measuring the
microcystin quota of individual colonies, instead of a composite sample from a certain size class,
allowed assessment of the natural variability in microcystin quotas between colonies. One
disadvantage of the cryo-sampling technique, however, is that only colonies on the water surface can
be collected, therefore, our dataset is not representative of a vertically integrated sample but a surface
sample instead.
HTS was used to explore the Microcystis ITS genotype composition of a subset of individual
Microcystis colonies. Sequencing of the cyanobacterial ITS sequence has previously been used to
evaluate changes in populations of cyanobacteria of the same species [19,20], as the gene is subject to
high levels of sequence variation. In the present study Microcystis colonies collected from Lake
Rotorua were generally dominated by a single ITS sequence. Similar findings were reported by Janse
et al. [21] who used denaturing gradient gel electrophoresis (DGGE) of the cyanobacterial ITS
sequence to assess Microcystis population diversity in colonies collected from Lake ‘t Joppe and Lake
Zeegerplas (The Netherlands). Only one genotype of Microcystis was observed (a single DGGE band)
in 72% of the colonies assessed by Janse et al. [21]. Multiple DGGE bands were observed in 28% of
the colonies, which the researchers surmised might be due to aggregation of different Microcystis
colonies or the presence of multiple rRNA operons containing different ITS sequences. The greater
degree of diversity observed in our study was likely due to the increased sensitivity of HTS compared
to DGGE and the use of cryo-samplers to collect the colony samples, as loosely bound colonies were
not disaggregated during collection. In contrast to the work of Janse et al. [21], all of the colonies
Figure 2.
Relative abundance of internal transcribed spacer gene operational taxonomic units (OTUs)
of 20 Microcystis colonies collected in situ using the surface snatcher cryo-sampler (site numbers are
provided at the top of the chart).
3. Discussion
Using cryo-samplers, we investigated the hypothesis that larger Microcystis colonies have higher
microcystin quotas. Previous research by Kurmayer, Christiansen and Chorus [
11
] showed that the
Microcystis cells of larger colony size classes from Lake Wannsee (Germany) had higher microcystin

Toxins 2019,11, 435 4 of 9
quotas. The results achieved using the cryo-samplers [
18
] confirmed this previous observation, but
the ability to determine the colony volume (rather than a size class) allowed the relationship between
colony volume and microcystin quota to be assessed more precisely. Whilst the relationship between
colony volume and microcystin quota was statistically significant (p=0.004), the relationship was not
particularly strong (R
2
=0.32). This may be due to other factors, not assessed during the present study,
influencing microcystin quotas. Cryo-sampling also minimised sampling artefacts associated with delay
before sample preservation and colony disaggregation from sieving. Measuring the microcystin quota
of individual colonies, instead of a composite sample from a certain size class, allowed assessment of
the natural variability in microcystin quotas between colonies. One disadvantage of the cryo-sampling
technique, however, is that only colonies on the water surface can be collected, therefore, our dataset is
not representative of a vertically integrated sample but a surface sample instead.
HTS was used to explore the Microcystis ITS genotype composition of a subset of individual
Microcystis colonies. Sequencing of the cyanobacterial ITS sequence has previously been used to
evaluate changes in populations of cyanobacteria of the same species [
19
,
20
], as the gene is subject to
high levels of sequence variation. In the present study Microcystis colonies collected from Lake Rotorua
were generally dominated by a single ITS sequence. Similar findings were reported by Janse et al. [
21
]
who used denaturing gradient gel electrophoresis (DGGE) of the cyanobacterial ITS sequence to
assess Microcystis population diversity in colonies collected from Lake ‘t Joppe and Lake Zeegerplas
(The Netherlands). Only one genotype of Microcystis was observed (a single DGGE band) in 72% of
the colonies assessed by Janse et al. [
21
]. Multiple DGGE bands were observed in 28% of the colonies,
which the researchers surmised might be due to aggregation of different Microcystis colonies or the
presence of multiple rRNA operons containing different ITS sequences. The greater degree of diversity
observed in our study was likely due to the increased sensitivity of HTS compared to DGGE and the
use of cryo-samplers to collect the colony samples, as loosely bound colonies were not disaggregated
during collection. In contrast to the work of Janse et al. [
21
], all of the colonies assessed in our study
produced microcystins, although sample collection spanned several days compared with several
months in the former study, and changes in Microcystis strain dominance were likely to increase with
sampling duration.
The ITS genotype composition in the Microcystis colonies assessed from Lake Rotorua was not
related to colony size but may have been affected by collection site or time. Colonies collected from the
South-eastern side of Lake Rotorua on 13 April 2014 had lower ITS genotype diversity than colonies
collected from the South-western side of the lake on 14 April 2014. Different populations of Microcystis
may have been present in different parts of the lake providing different growing conditions. For
example, the South-western side of the lake is a sheltered bay whereas the North-eastern side is not
sheltered. The increased ITS sequence diversity observed in samples collected on 14 April 2014 may
also have been due to conditions promoting or allowing different Microcystis genotypes to sit at the
water’s surface (compared to 13 April 2014), but further discrimination is not possible at this stage.
Briand et al. [
20
] successfully used ITS genotype compositions, obtained via sequencing of clone
libraries, to assess shifts in Microcystis strain dominance at the Grangent Reservoir (France). They
found that a single ITS genotype progressively became dominant, coinciding with a reduction in the
abundance of microcystin-producing strains. Similar studies assessing individual colonies, using the
cryo-samplers, and the broader Microcystis community, using water samples, would be valuable for
better understanding Microcystis colony formation in the natural environment.
Using cryo-samplers to collect and preserve Microcystis colonies in situ allowed more precise
assessment of the relationship of microcystin quota to colony size and corroborated the results of
previous studies. The ITS composition of the Microcystis colonies from Lake Rotorua was dominated
by one ITS genotype. Future studies over longer time periods will provide more insight into the links
between microcystin production and cyanobacterial colony formation.

Toxins 2019,11, 435 5 of 9
4. Materials and Methods
4.1. Sample Collection
Samples were collected at Lake Rotorua (Kaikoura), a small (0.55 km
2
), shallow (max. depth
3 m), eutrophic lake in the northeast of the South Island of New Zealand (42
◦
24’05S, 173
◦
34’57E) [
22
].
Buoyant Microcystis colonies on the lake surface were collected using the ‘surface snatcher’ cryo-sampler
(5
×
5 cm
2
) described in Puddick, Wood, Hawes and Hamilton [
18
]. The sampling device was cooled
in liquid nitrogen until bubbling ceased and then held to the water surface adjacent to a Microcystis
colony. Over 20 to 30 s an ice sheet formed progressively downwards from the water surface to a depth
of ca. 3.5 mm in calm conditions. Ice sheets were removed from the sampling device with tweezers,
laid on transparent plastic sheets, placed in a zip-lock bag and immediately stored on dry ice. Upon
returning to the laboratory, the ice sheets were transferred to a −20 ◦C freezer until colony removal.
Five collections (Ice Sheets 1–5) were conducted between 12–14 April 2014 from three locations at
Lake Rotorua (Supplementary Table S4). Multiple ice sheets were collected at each sampling point and
were labelled in alphabetical order.
4.2. Image Acquisition, Colony Removal and Sample Extraction
Colony removal and image acquisition were conducted in a
−
20
◦
C walk-in freezer over a two-day
period. Ice sheets were placed on a height-adjustable stand and images of single colonies were captured
using a portable digital USB microscope (CollingTech; Guangdong, China). Following adjustment of
the camera’s optical zoom, the image was focused by adjusting the distance between the ice sheet and
the camera. Each colony image was followed by an image of a mm scale without altering the camera’s
optical zoom settings or the height of the adjustable stand. Images were captured in JPEG format at a
resolution of 480 ×360 pixels.
After image acquisition, the ice surrounding the colony was melted by placing an electrical
soldering iron near the ice. The resulting water and cyanobacteria cells were then removed using a
200
µ
L autopipette and placed in a 200
µ
L tube. Melting the ice and removing the cells was repeated
until the entire colony was removed. Pipette tips blocked when the water re-froze whilst working in
the
−
20
◦
C freezer, so tips used for each sample were retained and the sample reclaimed by thawing at
ambient temperature and briefly centrifuging in a 15 mL Falcon tube, to draw the liquid down into the
collection tube.
The excised colonies were extracted for microcystins and DNA as described in Puddick, Wood,
Hawes and Hamilton [
18
]. The samples were heated at 99
◦
C for 1 min in a polymerase chain reaction
(PCR) thermal cycler (Eppendorf Mastercycler; Hamburg, Germany). An aliquot for microcystin
analysis was placed in a 1.8 mL tube and an aliquot for molecular analysis was placed in a 200
µ
L
tube. The aliquot for microcystin analysis was further extracted by sonication in 50% methanol +0.1%
formic acid (v/v) and the aliquot for molecular analysis was supplemented with Tween-20 before being
re-heated to 99 ◦C for 1 min in the PCR thermal cycler.
4.3. Colony Image Analysis and Volume Estimation
Image analysis of colony images was conducted in R [
23
] using the EBImage package [
24
]
and BioConductor [
25
]. Images were processed independently. The pixel area of each colony was
determined first, then the pixel to mm conversion determined by calibration from the image of the mm
scale. The colony area (in pixels) was determined by isolating the pixels that were darker in the blue
and red channels than their respective Otsu thresholds [
26
] (as determined for the current image only),
as well as having a higher green intensity than red intensity. The mask defined by these RGB intensity
requirements was filtered by a 2-pixel median filter [
27
], followed by an erosion and dilation [
28
], each
using a 5
×
5 diamond kernel. Colony images isolated by this selection technique were visualised
alongside the original image to confirm and validate the selection rules (Supplementary Figure S1).
The area of the colony was then determined as the area in pixels of the selection mask.

Toxins 2019,11, 435 6 of 9
The volume of the colony was estimated by assuming the darkest point of each colony spanned
the full thickness of the ice sheet, and that the relative thickness of the colony at other pixel locations
was linearly related to the relative darkness of that pixel. All three colour channels contributed to this
darkness value. The pixel to mm conversion for each image was then applied to convert the colony
volume into mm3.
4.4. Quantitative Polymerase Chain Reaction Analysis
Enumeration of microcystin-producing Microcystis was conducted using a quantitative PCR
(qPCR) assay targeting the microcystin synthase E (mcyE) gene involved in microcystin production.
The procedures used are described in Puddick, Wood, Hawes and Hamilton [18].
4.5. Microcystin Analysis
Microcystin concentrations in excised colony samples were determined by LC-MS/MS as described
in Puddick, Wood, Hawes and Hamilton [
18
]. When sample concentrations were outside of the standard
curve, the samples were diluted with 50% methanol and re-analysed. Microcystin quotas (the amount
of microcystin per toxic cell) were calculated by summing the concentration of all congeners observed
in the samples and dividing by the level of toxic cells (determined using mcyE qPCR).
4.6. High-Throughput Sequencing
Twenty colonies were selected for analysis of the ITS sequence between the 16S and 23S rRNA
genes (rRNA-ITS) using HTS. A region of ca. 500 bp was amplified using cyanobacterial-specific
primers ULR [
29
,
30
] and CSIF [
21
], modified to include Ilumina
™
adapters. PCR reactions were
performed in 50
µ
L volumes containing 25
µ
L of AmpliTaq Gold
®
360 Master Mix (Life Technologies,
Carlsbad, CA, USA), 5
µ
L CG inhibitor (Life Technologies), 0.5
µ
M of each primer, and template DNA
(ca. 20 ng). PCR cycling conditions were: 95
◦
C for 10 min, followed by 27 cycles of 95
◦
C for 30 s, 50
◦
C
for 45 s, 72
◦
C for 45 s, and a final extension of 72
◦
C for 7 min. PCR products were visualized with
1% agarose gel electrophoresis with RedSafe DNA Loading Dye (iNtRON Biotechnology, Seongnam,
South Korea) and UV illumination. PCR products were purified (Agencourt
®
AMPure
®
XP Kit,
Beckman Coulter, Brea, CA, USA), quantified (Qubit
®
20 Fluorometer, Invitrogen, Carlsbad, CA, USA),
diluted to 10 ng/
µ
L and submitted to the University of Auckland (New Zealand) for library preparation.
Sequencing adapters and sample-specific indices were added to each amplicon via a second round of
PCR using the Nextera
™
Index kit (Illumina, San Diego, CA, USA). Libraries were sequenced on a
MiSeq Illumina™platform (2 ×300 reads).
Overlapped raw sequence reads were de-noised, trimmed and filtered prior to downstream
analyses. Paired-end reads were assembled into contigs using USEARCH [
31
]. Merged reads <200 bp
were discarded. The data were then filtered with VSEARCH [
32
], and reads with more than one
expected error [
33
] per read were discarded. The data were then dereplicated with all non-unique
sequences removed to make downstream computation faster. OTUs were generated using VSEARCH
by clustering each unique sequence at the 99% identity threshold. Non-unique reads were then mapped
back onto these clusters, and any cluster that contained fewer than 10 sequences was discarded.
Taxonomy was then assigned to each OTU using a reference database, which was constructed using all
available cyanobacteria ITS sequences from GenBank [
34
]. Only ITS sequences assigned to Microcystis
were utilised for further analysis.
4.7. Statistical Analysis
One-way ANOVA tests and linear regression were conducted using the R stats package [
23
,
35
]. For
one-way ANOVA tests, microcystin quota data and ITS genotype proportions were log
10
transformed
to fulfil the assumptions of normality and heterogeneity of variance.

Toxins 2019,11, 435 7 of 9
Supplementary Materials:
The following are available online at http://www.mdpi.com/2072-6651/11/8/435/s1,
Table S1: Image analysis information to determine colony volume, Table S2: Microcystin quota information for
colony samples, Table S3: Sample information for high-throughput sequencing of the cyanobacterial internal
transcribed spacer gene for relevant colony samples, Table S4: Information on sample collection time and location,
Figure S1: Automated pixel selection for colony images where images alternate between the raw image and the
selected area.
Author Contributions:
The work was conceived by J.P., S.A.W., I.H. and D.P.H.; J.P. and S.A.W. collected
and analysed the samples; E.O.G. conceived and undertook the colony image analysis; J.P., S.A.W. and D.P.H.
contributed funding and reagents, which made the work possible; all authors contributed to writing and revising
the manuscript.
Funding:
This research was supported by the Marsden Fund of the Royal Society of New Zealand (12-UOW-087,
Toxic in Crowds; CAW1601, Blooming Buddies) and the New Zealand Ministry of Business, Innovation and
Employment (UOWX1503, Enhancing the health and resilience of New Zealand lakes).
Acknowledgments:
The authors thank Beth Wood, John Wood, Konstanze Steiner, Hugo Borges and Debin Meng
for their assistance in the field; Aaron Quarterman, Tim Dodgshun and Marc Jary (Cawthron Institute) for support
with fieldwork logistics; Laura Biessy and Janet Adamson (Cawthron Institute) for technical assistance; and
Alex Stuckey (New Zealand Genomics Ltd.) for bioinformatics assistance.
Conflicts of Interest: The authors declare no conflict of interest.
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