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wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 2
Available online at w
journal homepage: www.elsevier .com/locate/watres
Rapid effects of diverse toxic water pollutantson chlorophyll a fluorescence: Variable responsesamong freshwater microalgae
Chang Jae Choi 1, John. A. Berges, Erica. B. Young*
Department of Biological Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA
a r t i c l e i n f o
Article history:
Received 3 November 2011
Received in revised form
24 January 2012
Accepted 11 February 2012
Available online xxx
Keywords:
Chlorophyll a fluorescence
Algae
Toxin
Rapid response
Photosystem II
Diuron�
KCN
Glyphosate
Atrazine
Fv/FmFluorometry
Pseudokirchneriella
Diatom
Cryptophyte
Chlorophyte
Chrysophyte
Water quality
Toxic water pollutant
Toxicity assessment
Abbreviations: Chlorophyll, chl; PAM, pulsquantum yield of photosystem II.* Corresponding author. Tel.: þ1 414 229 325E-mail addresses: [email protected]
1 Present address: The University of Texas
Please cite this article in press as: Choi, CVariable responses among freshwater m
0043-1354/$ e see front matter ª 2012 Elsevdoi:10.1016/j.watres.2012.02.027
a b s t r a c t
Chlorophyll a fluorescence of microalgae is a compelling indicator of toxicity of dissolved
water contaminants, because it is easily measured and responds rapidly. While different
chl a fluorescence parameters have been examined, most studies have focused on single
species and/or a narrow range of toxins. We assessed the utility of one chl a fluorescence
parameter, the maximum quantum yield of PSII (Fv/Fm), for detecting effects of nine
environmental pollutants from a range of toxin classes on 5 commonly found freshwater
algal species, as well as the USEPA model species, Pseudokirchneriella subcapitata. Fv/Fmdeclined rapidly over <20 min in response to low concentrations of photosynthesis-specific
herbicides Diuron� and metribuzin (both <40 nM), atrazine (<460 nM) and terbuthylazine
(<400 nM). However, Fv/Fm also responded rapidly and in a dose-dependent way to toxins
glyphosate (<90 mM), and KCN (<1 mM) which have modes of action not specific to
photosynthesis. Fv/Fm was insensitive to 30e40 mM insecticides methyl parathion, carbo-
furan and malathion. Algal species varied in their sensitivity to toxins. No single species
was the most sensitive to all nine toxins, but for six toxins to which algal Fv/Fm responded
significantly, the model species P. subcapitatawas less sensitive than other taxa. In terms of
suppression of Fv/Fm within 80 min, patterns of concentration-dependence differed among
toxins; most showed MichaeliseMenten saturation kinetics, with half-saturation constant
(Km) values for the PSII inhibitors ranging from 0.14 mM for Diuron� to 6.6 mM for terbu-
thylazine, compared with a Km of 330 mM for KCN. Percent suppression of Fv/Fm by
glyphosate increased exponentially with concentration. Fv/Fm provides a sensitive and
easily-measured parameter for rapid and cost-effective detection of effects of many dis-
solved toxins. Field-portable fluorometers will facilitate field testing, however distinct
responses between different species may complicate net Fv/Fm signal from a community.
ª 2012 Elsevier Ltd. All rights reserved.
e amplitude modulated; PSII, photosystem II; Fv/Fm, maximum quantum yield of PSII; FPSII,
7; fax: þ1 414 229 3926.texas.edu (C.J. Choi), [email protected] (J.A. Berges), [email protected] (E.B. Young).at Austin, Marine Science Institute, Port Aransas, TX 78373, USA.
.J., et al., Rapid effects of diverse toxic water pollutants on chlorophyll a fluorescence:icroalgae, Water Research (2012), doi:10.1016/j.watres.2012.02.027
ier Ltd. All rights reserved.
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 22
1. Introduction periods of 5e72 h (e.g. Brack and Frank, 1998; Juneau et al.,
Microalgae are commonly used for aquatic toxicological
testing because they are easy to grow and expose to dissolved
toxins in culture, they are sensitive to hazardous chemicals or
wastewater contaminants, and they have short generation
times that allow rapid assessment of growth responses to
toxins. United States Environmental Protection Agency
(USEPA) and the Organisation for Economic Co-operation and
Development (OECD) have standardized tests that measure
toxicity of dissolved chemicals as inhibition of growth over
3e4 days in replicate microalgal cultures, typically using
model test species, including the green alga Pseudokirchneriella
subcapitata (Korshikov) Hindak (formerly Selenastrum capri-
cornutum) (OECD, 1984; USEPA, 2002). Althoughmicroalgae and
other model organisms (including vertebrates) are important
for characterizing toxin effects under controlled conditions,
growth and maintenance of test organisms can be time
consuming and expensive, and correct end-point measure-
ments for meaningful comparisons are not easily predicted
(Hughes et al., 1988). For detection of environmental
contamination, and in water security applications, there is
a need to find cheaper and faster testing procedures which
provide reliable and ecologically-relevant detection of aquatic
toxins (Galloway et al., 2004). This has led to the development
of instrumentation for rapid testing including immobilized
algae (Bozeman et al., 1989), miniaturized microplate and
microbiotest assays using algae (Lukavsky, 1992; Muller et al.,
2008), array-chip multi-algal biosensors (Podola and
Melkonian, 2005) and in-line algal biomonitors (recent
advances in applications reviewed by Ralph et al., 2007;
Buonasera et al., 2011) These new developments offer
advantages over the USEPA standard 3e4 day growth bioas-
says, but can still require extensive set-up and extended
incubation periods.
Advances in technologies to measure chlorophyll a (chl a)
fluorescence offer good prospects for toxicity testing using
bioassays with algal species (Brack and Frank, 1998;
Buonasera et al., 2011). Chl a fluorescence provides a sensitive
integrated measure of a key photosynthetic process - the
efficiency of energy conversion at photosystem II (PSII) reac-
tion centers. Chl a fluorescence parameters respond to envi-
ronmental stresses, including nutrient limitation (Parkhill
et al., 2001; Young and Beardall, 2003), high light or UV expo-
sure (Franklin and Forster, 1997) and oxidative stress
(Drabkova et al., 2007). Rapid changes in chl a fluorescence
parameters have previously been shown to provide similar
information to suppression of photosynthetic C fixation
(Dorigo and Leboulanger, 2001), and growth inhibition over
3e4 d (e.g. Fai et al., 2007; Macedo et al., 2008; Ralph et al., 2007;
Kviderova, 2009). Pulse Amplitude Modulated (PAM) fluorom-
eters offer one approach to very high sensitivitymeasurement
of chlorophyll a fluorescence in cells for use with natural
marine or freshwater phytoplankton samples, and are
increasingly being applied to toxicity testing (Schreiber et al.,
1993, 2002). Studies have frequently focused on a small
number of toxins or a single test species (often P. subcapitata or
other species commonly used in laboratory studies) and have
examined responses of chl a fluorescence to toxins over
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Resear
2002; Vallotton et al., 2008; Kviderova, 2009). However, chl
a fluorescence changes much more rapidly in response to
stress (including exposure to toxic chemicals (Rodriguez et al.,
2002; Macedo et al., 2008)) and so responses over minutes
rather than hours, are potentially useful for rapid toxicological
assessments (Rodriguez et al., 2002; Schreiber et al., 2002;
Rodriguez and Greenbaum, 2009).
Of a range of chl a fluorescence parameters which respond
rapidly to toxin exposure, the most commonly used is the
quantum yield of PSII, a measure of photochemical efficiency
(Ralph et al., 2007; Buonasera et al., 2011). Changes in PSII
quantum yield could be used to examine toxin exposure in
natural freshwater algal assemblages over less than 25 min,
with potential applications for real-time testing and water
security applications (Schreiber et al., 1993; Rodriguez et al.,
2002; Buonasera et al., 2011). However, successful applica-
tion of chl a fluorometry to toxicity testing in natural ecosys-
tems requires much more detailed understanding of the
variability of responses of Fv/Fm to both awider range of toxins
and in a wider range of species.
In the present study, we aimed to examine the variability of
responses of Fv/Fm in diverse algal species in response to
a range of toxins. Our specific objectives were: 1) to assess the
range of responses of different algal taxa, particularly how
sensitivities of common algal taxa compare with that of
laboratory model organisms, 2) to identify which toxins elicit
a response in Fv/Fm and over what concentration ranges, and
3) to clarify whether sensitivity of Fv/Fm responses is related to
specific toxins via examination of changes in chl a fluores-
cence parameters F0 and Fm. We selected five freshwater algal
species representing four broad taxonomic groups commonly
found in temperate freshwater ecosystems (chlorophytes,
diatoms, chrysophytes and cryptophytes), and included the
EPA model chlorophyte species P. subcapitata for comparison.
We exposed the microalgae to nine environmental pollutants
(somewith specific effects on photosynthesis, as well as those
with other modes of action) with potential for contamination
in natural waterways or reservoirs (Gilliom et al., 1999;
Rodriguez et al., 2002), andmeasured very short-term changes
in Fv/Fm.
2. Materials and methods
2.1. Test organisms and culture conditions
Freshwater algal taxa tested represented four distinct taxo-
nomic groups e Chlorophyta, Bacillariophyta, Cryptophyta
and Heterokontophyta (Wehr and Sheath, 2003). Cultures of
the algae were obtained from the Canadian Phycological
Culture Collection (CPCC, www.phycol.ca) and all cultures
were maintained axenically in the same growing conditions
(18 �C, 100 mmol photons m�2 s�1 on a 12:12 light:dark cycle,
gently stirred and bubbledwith filtered air). Triplicate cultures
of each species were diluted with growth medium every 3e5
days to keep cells in exponential growth phase. The green alga
Chlamydomonas reinhardtii Dang. (CPCC 84 syn. UTEX 89) was
grown in DY-V freshwater medium pH 7.0 (Andersen, 2005).
diverse toxic water pollutants on chlorophyll a fluorescence:ch (2012), doi:10.1016/j.watres.2012.02.027
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 2 3
The green alga P. subcapitata (Korshikov) Hindak (CPCC 37,
formerly known as S. capricornutum or Raphidocelis subcapitata
syn. UTEX 1648), the diatoms Navicula pelliculosa (Breb.) Hilse
(CPCC 552 syn. CCAP 1050/3c) and Asterionella formosa Hass.
(CPCC 605), the cryptophyte Cryptomonas erosa Ehrenberg
(CPCC 446) and the chrysophyte Synura petersenii Korshikov
(CPCC 442 syn. CCMP 866) were all grown in CHU-10 medium,
pH 7.0 (Andersen, 2005). DY-V and CHU-10 are artificial
freshwater media with similar constituents but we found
Chlamydomonas grew better in DY-V than CHU-10; DY-V
containsMES orMOPS but CHU-10 does not include an organic
pH buffer (Andersen, 2005). Cell growth was monitored by
changes in bulk chl a fluorescence measured in a Turner TD-
700 fluorometer with red-sensitive PM tube and a chl
a optical kit (Turner Designs, Sunnyvale, CA, USA). When
cultures reached mid log-phase, 20 mL of cultures were
transferred to 50 mL tubes for toxin exposure and chl a fluo-
rescence measurements.
2.2. Toxins
We tested nine toxins representing six chemical classes
including those with modes of action directly on photosyn-
thetic processes and photosystem II (PSII) (atrazine, metribu-
zin, terbuthylazine and Diuron�) and others with modes of
actions not directly related to photosynthesis (KCN, glyph-
osate, carbofuran, malathion and methyl parathion) (Table 1).
The toxins atrazine, metribuzin, and terbuthylazine (triazine
herbicides), carbofuran (a carbamate pesticide), malathion
and methyl parathion (organothiophosphate pesticides) were
obtained from SPEX Certiprep (Metuchen, NJ, USA), and
glyphosate (a phosphonoglycine herbicide) (Restek, Belle-
fonte, PA), all supplier-certified as 99% pure, and KCN (Fisher
Scientific, Hannover Park, IL, USA) and Diuron� (DCMU,
a phenyl-urea herbicide) (SigmaeAldrich Corp. St. Louis, MO,
USA), certified as �98% pure, were also tested. Toxins were
dissolved in water, acetone, ethanol or methanol according to
their solubility (see Table 1) and small volumes (<1% of culture
volume) of toxin solutions were added directly to the 20 mL
culture subsample and gently mixed. Final toxin concentra-
tions tested ranged from 1 nM to 30 mM. To test for effects of
the solvent without the toxin, control trials for each species
were carried out with solvents alone at the highest volume
added (0.2 mL solvent in 20 mL culture). All species-toxin
concentration combinations were tested using triplicate
cultures.
2.3. Chl a fluorescence and cell viability measurements
Chl a fluorescence was measured using a Walz Pulse Ampli-
tude Modulated XE-PAM fluorometer (Schreiber et al., 1993)
(Walz GmbH, Effeltrich, Germany). The excitation light was
filtered using a 5 mm BG39 band-pass filter (500 nm peak;
Schott Elmsford, NY, USA). Fluorescence emissionwas filtered
by a 1 mm R65 long-pass (>650 nm) dichroic filter (Balzers,
Zarentem, Belgium). Preliminary trials were carried out to
determine the effect of dark acclimation prior to addition of
toxins. Dark incubation either increased the quantum yield or
had no effect, so for all species the following exposure and
measurement protocol was used. Immediately after
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Researc
harvesting from the culture, cells were incubated for 30min in
the dark at 18e22 �C with gentle shaking, prior to initial
measurement of chl a fluorescence. In dark-incubated cells,
the Xe-PAM fluorometer measured F0 - the minimal chl
a fluorescence output, and Fm - themaximal chl a fluorescence
output during a saturating pulse, and derived Fmax, the
maximum quantum yield of PSII (Schreiber et al., 1993;
Parkhill et al., 2001; Ralph et al., 2007), hereafter referred to as
Fv/Fm:
Fmax ¼ Fv=Fm ¼ ðFm � F0Þ=Fm (1)
The percent suppression of Fv/Fm over time in response to
toxins was calculated as:
% suppression ¼ ðFv=Fm0� Fv=FmtÞ=Fv=Fm0 � 100 (2)
where Fv/Fm0 is the initial Fv/Fm at time 0, prior to toxin
exposure, and Fv/Fmt is the Fv/Fm after exposure time t
(2e80 min) to the toxin. For each culture subsample tested,
cell density and PAM settings were adjusted to give similar
initial F0 output across trials.
Measurements were made just prior to toxin addition and
then at 2, 5, 10, 20, 40, and 80 min after toxin addition. During
exposure to toxins, samples were incubated in the dark in
a shaking incubator at 18e22 �C, and subsamples were
removed for each time-point measurement in a darkened
room. The exception was for Diuron� which required low
irradiance (<5 mmol photons m�2 s�1) during the 80 min
exposure to be effective. However, the initial Fv/Fm, prior to
Diuron� addition, was determined as for other toxins,
following 30 min dark incubation.
In order to examine more detailed doseeresponse rela-
tionships of the Fv/Fm suppression in response to 6 of the
toxins, a sub-set of the toxin-species combinations examined
were tested with a finer resolution of toxin concentrations.
When significant inhibitory effects of toxin were detected
after 80 min, cell viability was assessed in 1 mL of culture by
adding 20 mL of 1% (w/v) Evans Blue and incubating for 5 min
before observing and enumerating cell staining using an
Olympus BX-41microscope. Evans Blue is impermeable to live
cells but freely penetrates the membrane of dead cells and
stains blue (Crippen and Perrier, 1974)), thus blue-stained cells
were identified as dead, with heat-killed cultures (80 �C for
10 min) serving as positive controls.
2.4. Statistical analysis of toxin effects
For each species and toxin concentration, the Fv/Fm measured
at time zero (immediately before toxin addition), and at 80min
were compared for significant differences using analysis of
variance (1-way ANOVA of Fv/Fm variables with time as the
factor, for each toxinespecies combination). When significant
declines were observed, the inhibitory effects of different
toxins in the six algal species were examined by plotting Fv/Fmagainst time over 80 min. Most plots showed an exponential
decline in Fv/Fm over time so the time axis was log-
transformed to linearize the plots. A linear model was fitted
to the decline and the slope of line tested for significant
differences from zero. Toxin sensitivity was evaluated as
diverse toxic water pollutants on chlorophyll a fluorescence:h (2012), doi:10.1016/j.watres.2012.02.027
Table 1 e The toxins tested and solvents used, their chemical names, classes, modes of action and the summary toxicity determined in other studies.
Toxin(solvent)
IUPAC chemical name Chemical class, use, CAS number,EPA toxin classa
Mode of action LC50b aquaticvertebratesmg mL�1
EC50 greenalgaeb
mg mL�1
Conc. rangeused
mg mL�1
Diuron�
(ethanol)
3-(3,4-dichlorophenyl)-1,
1-dimethylurea (DCMU)
Phenyl-urea herbicide 330-54-1, EPA III PS II inhibitor 6.7e47 0.005 0e58
Glyphosate
(water)
N-(phosphonomethyl) glycine Phosphonoglycine herbicide 1071-83-6,
EPA II
Aromatic amino acid
synthesis inhibitor
5e240 7e400 0e750
KCN (water) Potassium cyanide Inorganic rodenticide 151-50-8, EPA I Oxidative metabolism
inhibitor (mitochond.)
0.065e1.4 0.025e0.045 0e1950
Atrazine
(acetone)
6-chloro-N2-ethyl-N4-isopropyl-1,
3,5-triazine-2,4-diamine
Triazine herbicide 1912-24-9, EPA III PS II inhibitor 5e50 0.04e1.5 0e10
Metribuzin
(methanol)
4-amino-6-tert-butyl-3-methylthio-1,
2,4-triazin-5(4H)-one
Triazinone herbicide 21087-64-9, EPA III PS II inhibitor 0.030e0.15 0.043 0e5
Terbuthylazine
(methanol)
N2etert-butyl-6-chloro-N4-ethyl-1,3,
5-triazine-2,4-diamine
Triazine herbicide algaecide, microbiocide
5915-41-3, EPA III
PS II inhibitor 7e8 0.016 0e50
Methyl parathion
(methanol)
O,O-dimethyl O-4-nitrophenyl-
phosphorothioate
Organothiophosphate insecticide 298-00-0,
EPA I
Cholinesterase inhibitor 0.8e25 2.9e100 0e10
Carbofuran
(methanol)
2,3-dihydro-2,2-dimethylbenzo-furan7-
yl-methylcarbamate
Carbamate insecticide nematicide 1563-66-2,
EPA I/II
Cholinesterase inhibitor 0.1e5 270 0e10
Malathion
(methanol)
Diethyl (dimethoxyphos-phinothioylthio)
succinate
Organothiophosphate insecticide 121-75-5,
EPA III
Cholinesterase inhibitor 0.3e15 0.01 0e10
a EPA Toxin classes: I (highly toxic), II (moderately toxic), III (slightly toxic).
b Summary LC50 (median lethal dose) and EC50 (half maximum effective concentration) values from EcotoxNet (2010) and PAN (2010).
water
research
xxx
(2012)1e12
4Please
citeth
isarticle
inpress
as:C
hoi,C
.J.,etal.,R
apid
effe
ctsofdiverse
toxic
waterpollu
tants
onch
loro
phyllafluoresce
nce:
Varia
ble
resp
onse
sam
ongfre
shwaterm
icroalga
e,W
aterRese
arch
(2012),doi:1
0.1016/j.w
atres.2
012.02.027
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 2 5
percent suppression of Fv/Fm at 80min relative to Fv/Fm values
just prior to toxin addition. To examine toxin sensitivity over
a finer range of toxin concentrations, the doseeresponse
relationships of selected species to 6 of the toxins were
analyzed as % suppression of Fv/Fm, and the relationships
were modeled with non-linear regression, using a rectangular
hyperbola (for MichaeliseMenten kinetics), or, in one case
where the data clearly did not follow saturation kinetics, an
exponential model. All statistical analyses used Sigmastat (v.
3.1, Systat Software Inc, Chicago, IL).
Fig. 1 e A range responses of Fv/Fm to exposure to toxins in
six microalgal species. Suppression of Fv/Fm is shown over
80 min following addition at 0 min of A) glyphosate
(440 mM), B) KCN (1 mM), C) atrazine (460 nM) and D)
metribuzin (40 nM) Species symbols shown in panel D are
the same for all plots. Points are means ± standard error of
measurements in three replicate trials.
3. Results and discussion
3.1. Rapid toxin detection using Fv/Fm
The chl a fluorescence parameter Fv/Fm of algal cells provided
an extremely rapid method to detect responses to several
aquatic toxins in the EPAmodel test species P. subcapitata, and
a range of common freshwater algal taxa. In each case, for the
controls with solvent-only additions, the slope of regression
lines for Fv/Fm over time was not significantly different from
zero (P> 0.05 ANOVA). However, following exposure to 6 of the
9 toxins tested, Fv/Fm declined significantly over < 80 min
( p < 0.05 ANOVA) (Fig. 1, Table 2). In response to atrazine,
metribuzin (Fig. 1) and terbuthylazine, Fv/Fm declined rapidly
overw10 min but thereafter remained stable. Fv/Fm decline in
S. petersenii, N. pelliculosa, A. formosa and C. erosa in response
to KCN or glyphosate continued almost throughout the full
80 min (Fig. 1). Most of the suppression of Fv/Fm was observed
within 20 min following toxin addition (Fig. 1), and 80 min
certainly could serve as an appropriate duration for a bioassay
based on algal Fv/Fm suppression. Fv/Fm was not significantly
suppressed in most algal species in response to the cholin-
esterase inhibitors methyl parathion, carbofuran and mala-
thion (Table 2) demonstrating that these pesticides, which
inhibit nerve function in insects, will not readily induce rapid
responses in Fv/Fm in microalgae.
Despite strong toxin effects on Fv/Fm, there was little
evidence of cell mortality within the 80 min exposure for any
species. Only in cultures exposed to very high glyphosate
concentrations (400 mM) did Evans Blue staining indicate
compromised cell membranes in approximately 30e50% of
cells of each species. The rapid responses of Fv/Fm over 80min
therefore represent sub-lethal effects on algal cells.
3.2. Algal species differences
To address our objective of determining algal species sensi-
tivity to toxins, we found that there clearly were different
sensitivities between algal species, but no single algal taxon
was themost sensitive to all nine toxins (Fig. 1; criteria defined
in Table 2). For example, based on percent suppression of Fv/
Fm in response to the toxins glyphosate, KCN, atrazine, met-
ribuzin and terbuthylazine, the EPA model species P. sub-
capitatawas not themost sensitive algal taxon (Fig. 1, Table 2).
Therefore, we predict that use of data on toxin suppression of
Fv/Fm from the model species P. subcapitata will result in
underestimating the sensitivities of photosynthesis in
commonly found freshwater species or natural assemblages.
Please cite this article in press as: Choi, C.J., et al., Rapid effects of diverse toxic water pollutants on chlorophyll a fluorescence:Variable responses among freshwater microalgae, Water Research (2012), doi:10.1016/j.watres.2012.02.027
Table
2eSum
mary
ofeffectsoftoxin
sonFv/F
mwithm
inim
um
effect
conce
ntrationsforth
e6algals
peciesand9toxin
stested.T
oxin
effectsare
reportedwhendeclin
esin
Fv/F
msh
owedlinearregress
ionslopesover80m
insignifica
ntlydifferentfrom
zero
(P<
0.05).
Toxin
Diuro
n�
Glyphosa
teKCN
Atrazine
Metribuzin
Terb
uth
ylazine
Meth
ylparath
ion
Carb
ofu
ran
Malath
ion
Maxim
um
conc.
tested
58mgm
L�1
250mM
75mgm
L�1
440mM
195
0mgm
L�1
30m
M10mgm
L�1
46mM
10mgm
L�1
47mM
46mgm
L�1
200
mM
10mgmL�1
38mM
10mgm
L�1
45mM
10mgm
L�1
30mM
Division
Species
Chloro
phyta
P.su
bcapitata
Very
stro
ng
<43nM
Slight
<440mM
Strong
<1mM
Slight
<460nM
Slight
<40nM
Moderate
<400nM
ns
Slight
<45mM
ns
Chloro
phyta
C.reinhardtii
Very
stro
ng
<43nM
Strong
<440mM
Slight
<2mM
Strong
<460nM
Moderate
<40nM
Moderate
<400nM
ns
ns
ns
Bacillariophyta
N.pellicu
losa
Very
stro
ng
<43nM
Strong
<220mM
Moderate
<0.5
mM
Slight
<460nM
ns
ns
ns
ns
ns
Bacillariophyta
A.form
osa
Very
stro
ng
<43nM
Strong
<90mM
Strong
<1mM
ns
ns
ns
Slight
<40mM
ns
ns
Hetero
kontophyta
S.petersenii
Very
stro
ng
<43nM
Strong
<440mM
Strong
<1mM
Slight
<460nM
Moderate
<40nM
Slight
<400nM
ns
ns
ns
Cryptophyta
C.erosa
Very
stro
ng
<43nM
Strong
<220mM
Strong
<1mM
ns
ns
ns
ns
ns
ns
Statisticalresp
onse
criteriafrom
linearregressionanalysis:
ns¼
noeffect
where
P>
0.05(linearregression)forslopeofFv/F
mover80min
athighest
conce
ntrationtested.1
.Slighteffect
¼significa
nt
decline(P
<0.05)in
Fv/F
mover80min,finalFv/F
m>0.4
forallco
nce
ntrationstested.2.Moderate
effect
¼significa
ntdecline(P
<0.05)in
Fv/F
mover80min,finalFv/F
m>0.3
and<0.4.3.Strong
effect
¼significa
ntdecline(P
<0.05)in
Fv/F
mover80min,finalFv/F
m<0.3.4.Very
stro
ngeffect
¼significa
ntandalm
ost
immediate
decline(P
<0.05),very
stro
ngsu
ppressionofFv/F
m.
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 26
Please cite this article in press as: Choi, C.J., et al., Rapid effects of dVariable responses among freshwater microalgae, Water Research
Differences in algal sensitivity to a range of toxins have been
reported (Juneau et al., 2002; Fairchild et al., 1998) and may
relate to genetically-determined mechanisms for assimila-
tion and detoxification or to variable toxin uptake kinetics
and capacity between algae (Weiner et al., 2004) which in
turn depend on the presence of other ions such as Cl� (Lee
et al., 2005). Rapid screening methods for toxin detection
using algal Fv/Fm responses could readily incorporate a wider
range of themost sensitive or ecologically important species.
Broad taxonomic group was not a good indicator of toxin
sensitivity (Fig. 1, Table 2). The two chlorophytes, P. sub-
capitata and C. reinhardtii showed divergent responses of Fv/
Fm to toxin exposure. P. subcapitata was highly sensitive to
KCN, relatively insensitive to glyphosate and atrazine while
C. reinhardtii was relatively insensitive to KCN but highly
sensitive to glyphosate and atrazine (Fig. 1, Table 2). The two
diatoms, A. formosa and N. pelliculosa also showed different
sensitivity to toxins. Both species were highly sensitive to
glyphosate but while A. formosa was less sensitive to atra-
zine, it was more sensitive to methyl parathion (Table 2). In
conventional multi-day algal growth bioassays, N. pelliculosa
growth was more sensitive to atrazine than growth of
a marine green alga Dunaliella tertiolecta (Hughes et al., 1988)
but for Fv/Fm, N. pelliculosa was less sensitive than C. rein-
hardtii (Table 2). The differences in responses to toxins
between groups suggest that no one species is likely to
provide the ideal, most sensitive test organism for all the
toxin types tested. However, the recommended ideal, to
include a suite of test species (Fairchild et al., 1998), becomes
more practical with such rapid screening methods based on
Fv/Fm, while this would be more expensive and less practical
for standard 3e4 day growth inhibition assays.
Taxa differences in Fv/Fm sensitivities to toxins suggests
that, in mixed algal species assemblages, suppression of Fv/
Fm in more sensitive species could potentially be masked by
chl a emission from less sensitive species (see discussion in
Franklin et al., 2009). This, along with effects of nutrient
limitation, temperature variability and photoacclimation or
photoinhibition processes in natural conditions (Holmes
et al., 1989; Franklin and Forster, 1997; Chalifour and
Juneau, 2011), may complicate application of this method
to natural phytoplankton assemblages (e.g. Rodriguez and
Greenbaum, 2009). We initially screened three cyanobacte-
rial taxa in our experiments, but optimizing Fv/Fm in cya-
nobacteria using PAM is problematic (Campbell et al., 1998).
We tried different filters (620e630 nm band-pass filters) to
optimize the excitation and emission wavelengths to
increase Fv/Fm values from cyanobacterial cultures, but were
not satisfied with the results so we restricted our measure-
ments to eukaryotes. Lower and more variable Fv/Fm values
in cyanobacteria could also complicate interpretation of net
Fv/Fm responses to toxins in natural populations which
include cyanobacteria.
One ecological consequence of variable toxin sensitivity
is that sub-lethal effects of toxin contamination of natural
waters may influence competition and stimulate changes in
species composition of natural phytoplankton assemblages
(Seguin et al., 2002; Zananski et al., 2010). In contaminated
waters where species composition of natural populations
has acclimated to chronic toxin exposure, Fv/Fm may not
iverse toxic water pollutants on chlorophyll a fluorescence:(2012), doi:10.1016/j.watres.2012.02.027
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 2 7
change in response to experimental toxin exposure as
dramatically as in individual test taxa with no previous
exposure history.
3.3. Toxin effects on F0, and Fm
As Fv/Fm ratios are derived from measured parameters F0 and
Fm (eq. (1)), changes in Fv/Fm can involve changes in one or
both parameters (Table 3). In response to DCMU, both F0 and
Fm increased in all species. This is the basis for Diuron�
(DCMU) use in measuring maximum chl a fluorescence
emission (Parkhill et al., 2001), but responses of F0 and Fm to
other toxins have been lesswell documented. Changes in F0 vs
Fm varied between algal species (Table 3). For example, in
response to KCN and glyphosate, in all species, Fv/Fm declines
involved decreases in Fm. In contrast, in response to glyph-
osate, F0 declined in all species except A. formosa, but the F0increased, decreased or was unchanged in response to KCN in
different species (Table 3). Between closely related Chlor-
ophyte species, in response to atrazine, F0 and Fm both
increased in P. subcapitata, but F0 was almost stable and Fmdeclined in C. reinhardtii (Fig. 2). In responses tometribuzin, Fv/
Fm declines involved increases in F0 in all species, but no
consistent changes in Fm between species including the two
green algae.
Differences in contribution of F0 vs Fm to Fv/Fm suppression
reflect different toxin modes of action. Differences between
even closely related taxa may indicate that responses to
specific toxin action on photosynthesis vary. Short-term
changes in chl a fluorescence emission over <80 min (i.e.
responses not dependent on de novo protein synthesis), reflect
changes in energy flux through chlorophyll harvesting
antennae (LHCII), specific inhibition of photosynthetic elec-
tron transport, or changes in use of ATP and NADPH products
of electron transport. Increases in F0 could relate to specific
inhibition of electron transport (PSII, plastoquinone pool),
induced by the herbicides. These expected F0 increases were
observed with all sensitive species with Diuron�, terbuthyla-
zine andmetribuzin but only with P. subcapitata and C. erosa in
response to atrazine.With glyphosate, F0 declines could relate
to impaired light absorption or uncoupling of electron trans-
port, while decreases in Fm observed consistently with both
glyphosate and KCN, could relate to uncoupling of LCHII from
PSII via energy-dependent non-photochemical quenching
(qN) (Holmes et al., 1989; Young and Beardall, 2003). However,
Table 3 e Summary of toxins effects on F0 and Fm for each speduring 80 min exposure (see Table 2). D [ increase, 0/D [ slidecrease. Blank spaces indicate non-significant responses of F
Algal species Diuron� Glyphosate KCN Atrazine Met
F0 Fm F0 Fm F0 Fm F0 Fm F0
P. subcapitata þ þ e e þ e þ þ þC. reinhardtii þ þ e e þ e 0/þ e þN. pelliculosa þ þ e e 0 e 0 e þA. formosa þ þ 0/þ e þ e
S. petersenii þ þ e e e e þ e þC. erosa þ þ e e 0/� e
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Researc
as incubations were in the dark (except Diuron�), any qN
changes will not relate to actinic light-dependent energy
responses, but may reflect direct chemical effects on trans-
thylakoid pH gradient dissipation, possibly via perturbations
of ATP and NADPH use (Holmes et al., 1989; Young and
Beardall, 2003). Quenching parameters have been specifically
examined to investigate toxin modes of action (Brack and
Frank, 1998; Juneau and Popovic, 1999; Juneau et al., 2002,
2005; Fai et al., 2007). Our data suggest that as both F0 and
Fm can change, suggesting that steady state F output also
varies during incubation, quenching parameters may be
complicated to interpret between taxa (see discussion in
Juneau and Popovic, 1999; Juneau et al., 2005). Therefore, for
rapid toxicological assessment using a range of species,
maximum quantum yield may be a more straightforward
parameter than any of the quenching parameters.
3.4. Toxin sensitivity - dose-responses
There were clear differences in the dose-responses of
suppression of Fv/Fm among different toxins tested (Fig. 3) and
minimum toxin concentrations required for a significant
decline in Fv/Fm over 80 min in each species (Table 2; selected
species in Fig. 3). Although concentrations tested were not
always comparable between toxins (due to different detection
ranges, modes of action and solubility limitations), generally,
Fv/Fm in the test algae was less sensitive to suppression by
organothiophosphate or carbamate pesticides than to the
triazine herbicides and phenyl-urea herbicides, that specifi-
cally inhibit PSII and electron transport. Some of the effects of
specific PSII toxins (atrazine, metribuzin, terbuthylazine,
Table 1) on chl a fluorescence parameters in microalgae, have
been reported in some algal taxa (Brack and Frank, 1998; Fai
et al., 2007; Vallotton et al., 2008; Dorigo and Leboulanger,
2001). However, this study also shows significant dose-
dependent suppression of Fv/Fm by toxins KCN and glyph-
osate, which are not known to directly inhibit PSII. To address
the objective of determining the concentration ranges over
which different toxins affect Fv/Fm, each toxin is discussed
below.
3.4.1. Diuron�
The specific inhibition of electron transport from PSII to
plastoquinone by Diuron� (DCMU) resulted in extremely high
sensitivities of Fv/Fm in all species to Diuron� (minimumeffect
cies for which there were significant suppression of Fv/Fmght increase, 0 [ no change, e [ decrease, 0/L [ slight
v/Fm (see Table 2).
ribuzin Terbuthylazine Methyl parathion Carbofuran
Fm F0 Fm F0 Fm F0 Fm
0 þ 0 þ 0
0/� þ 0
0
0/þ e
e þ e
diverse toxic water pollutants on chlorophyll a fluorescence:h (2012), doi:10.1016/j.watres.2012.02.027
Fig. 2 e Contrasts in changes in F0 vs Fm as components of
Fv/Fm suppression in response to atrazine in P. subcapitata
and C. reinhardtii. Fm symbols are filled and F0 points are
open symbols. Points are means ± standard error of 2e3
replicate measurements.
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 28
concentration <0.01 mg mL�1 or <43 nM), a MichaeliseMenten
half-saturation constant (Km) of 140 nM, and saturation at
<5 mM in P. subcapitata (Table 2, Fig. 3A). Despite this extreme
sensitivity, therewas only amaximumsuppression of Fv/Fm of
w80% over the range tested (0e250 mM).
3.4.2. AtrazineFv/Fmwas not sensitive to atrazine in all species over the range
of concentrations tested (Table 2), but for the sensitive species
S. petersenii, the effect on Fv/Fm saturated at a low concentra-
tions (<10 mM) with a Km of 0.18 mM. Maximum suppression
was onlyw32% (Figs. 1and 3D), suggesting partial inhibition or
limitation by cell uptake. The threshold concentration of
atrazine required for detection of changes in Fv/Fm over 80min
in the three most sensitive species (<0.1 mg mL�1 for C. rein-
hardtii, N. pelliculosa and P. subcapitata) was similar to atrazine
half maximal inhibitory concentration (IC50) concentrations
for effects on chl a fluorescence parameters and growth in P.
subcapitata (0.07e0.08 mg mL�1) (Fai et al., 2007; Vallotton et al.,
2008) and half maximal effective concentration (EC50) for 5
day growth of other algae (0.17 mg mL�1) (Hughes et al., 1988).
Research by Walsh (1972) suggested that inhibition photo-
synthetic oxygen evolution over 90 min and 10 day growth
assays showed similar sensitivity to atrazine in marine
microalgae. Therefore, high sensitivity (low Km) of algal Fv/Fmresponses to atrazine suggest that short-term changes in Fv/
Fm could be used for toxicological studies of atrazine, although
freshwater species will need to selected carefully, as two
species (A. formosa and C. erosa) were not sensitive to 46 mM
atrazine (Table 2).
3.4.3. Metribuzin and terbuthylazineThe Km for Fv/Fm suppression was 0.14 mM for metribuzin in P.
subcapitata, and 6.57 mM for terbuthylazine in C. reinhardtii
(Fig. 3E,F). The low Km and saturation concentration may
relate to specific binding to plastoquinone components and
suggests that binding sites are saturated at relatively low toxin
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Resear
concentrations. Maximum suppression in response to metri-
buzin and terbuthylazine was only 35e42% (Figs. 1 and 3E,F) in
contrast to suppression in response to Diuron� which
approached 80% of initial values. This might suggest that
binding of these herbicides may be less effective than for
Diuron� or that toxic effect is limited by cell uptake capacity
(Weiner et al., 2004).
3.4.4. GlyphosateGlyphosate had strong effects on Fv/Fm in all species except P.
subcapitata, resulting in almost 100% suppression in N. pelli-
culosa (Fig. 1). Glyphosate inhibits aromatic amino acid
synthesis derived from the shikimate pathway (Funke et al.,
2006) rather than PSII directly, so the rapid and dramatic
inhibitory effect of glyphosate on Fv/Fm (Fig. 1, Table 1) may
involve disruption of integrated carbon and nitrogen assimi-
lation which serves as a sink for photochemically derived
energy (Holmes et al., 1989; Young and Beardall, 2003). The
consistent effects of glyphosate on F0 (declined in all but A.
formosa) and Fm (declined in all species) (Table 3) also suggests
some consistent mechanism leading to suppression of Fv/Fmin all algal species by glyphosate. Fv/Fm in the EPA model
species P. subcapitata was the least sensitive to glyphosate
while Fv/Fm inA. formosawas themost sensitive in response to
glyphosate (threshold <90 mM (15 mg mL�1)). In A. formosa,
suppression of Fv/Fm by glyphosate was not saturated over
0e440 mM but increased exponentially (Fig. 3B), the only toxin
to show this doseeresponse relationship. In comparison to
the specific PSII inhibitors (Diuron�, atrazine, metribuzin,
terbuthylazine), which saturated afterw10min (Fig. 1C,D), the
decline in Fv/Fm with glyphosate continued over a longer time
period in the most sensitive species (Fig. 1A), suggesting that
glyphosate effects on PSII might result from cumulative toxic
effects on other cellular processes. The threshold concentra-
tions for effects of glyphosate on Fv/Fm in the algae (90e440 mM
(15e75 mg mL�1)) were similar to typical median lethal doses
(LC50) over 96 h for fish (Fig. 3B, Tables 1and 2) so Fv/Fmresponses in microalgae may be suitable to detect rapid and
sensitive responses to glyphosate. Glyphosate-based herbi-
cides (e.g. Roundup�) are the most widely used herbicides
globally for agricultural and urban weed control and are
readily transported into aquatic systems via surface runoff
(Byer et al., 2008). The variable sensitivity observed among
algal taxa and known insensitivity to glyphosate in some
cyanobacteria (Powell et al., 1991) suggests that glyphosate
contamination in freshwater ecosystems may promote
changes in species dominance.
3.4.5. KCNSuppression of Fv/Fm by KCN in P subcapitata was virtually
100%, and shown to saturate at w2 mM in P. subcapitata with
a Km of 330 mM (Fig. 3C). Rapid declines in Fv/Fm in natural algal
assemblages have been shown in response to 2 mM
(130 mgmL�1) KCN (Rodriguez et al., 2002) but in this study, five
algal species showed threshold effect concentrations of less
than 1 mM (65 mg mL�1) (Table 2). Cyanide directly inhibits
cytochrome oxidase in mitochondrial electron transport so
KCN may affect PSII and thus chl a fluorescence indirectly via
a disruption of cellular energy metabolism which links mito-
chondrial and chloroplast processes (Holmes et al., 1989).
diverse toxic water pollutants on chlorophyll a fluorescence:ch (2012), doi:10.1016/j.watres.2012.02.027
Fig. 3 e The maximum suppression of Fv/Fm after 80 min, relative to initial values prior to exposure to a range of
concentrations for toxins A) Diuron�, B) glyphosate, C) KCN, D) atrazine, E) metribuzin and (F) terbuthylazine. Plots are
shown for species for which the widest range of doses was examined. Each point is a single determination. Lines were fitted
by non-linear regression, using a rectangular hyperbola (MichaeliseMenten) (A, C-F) or an exponential (B), model. For the
MichaeliseMenten models, estimates of maximum suppression (Max) and half-saturation constants (Km) are shown on the
graphs. AeC are on the same y axis scale, and DeF on the same y axis scale. r2 values for non-linear models are asymptotic
values.
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 2 9
Compared to the specific PSII inhibitors which had fast effects
on Fv/Fm (mostly within 10 min of addition, Fig. 1C,D)
suppression by KCN continued over the full 80 min in most
sensitive species (Fig. 1B), which may relate to delayed effects
via inhibition of non-photosynthetic processes, resulting in
escalating toxic effects on cell function over time.It is possible
that in some algal species, cyanide could have more direct
effects on chl a fluorescence via inhibition of photosynthesis
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Researc
enzymes Rubisco (observed in spinach by Wishnick and Lane
(1969)) and a chlororespiration oxidase (observed in a xan-
thophyte alga by Buchel and Garab (1995), but if so, KCN
should have induced an increase in Fm, but it declined in all
species tested (Table 3). Possible toxic effects in chloroplasts
may remain throughout the experiment, but partial recovery
of Fv/Fm observed in N. pelliculosa, C. reinhardtii and P. sub-
capitata (Figs. 1B and 4) suggests induction of a mitochondrial
diverse toxic water pollutants on chlorophyll a fluorescence:h (2012), doi:10.1016/j.watres.2012.02.027
Fig. 4 e Changes in Fv/Fm in P. subcapitata in response to
KCN illustrating partial recovery of Fv/Fm following rapid
initial suppression. Each point represents measurements
in subsamples of three replicate cultures exposed to
KCN ± standard error. Dose of KCN (0e30 mM) shown next
to each response plot.
wat e r r e s e a r c h x x x ( 2 0 1 2 ) 1e1 210
alternative oxidase pathway, which is widespread in algal
taxa (Eriksen and Lewitus, 1999). The relatively lower sensi-
tivity of C. reinhardtii to KCN (Table 2) may relate to more
efficient induction of this alternative pathway. Despite these
clear doseeresponse relationships, the algae were relatively
insensitive to KCN, requiring much higher concentrations of
KCN to examine effects on Fv/Fm than for the other toxins,
especially the PSII inhibitors (Fig. 3). For comparison, model
fish species showed aminimum toxic dose during 2e4 days of
cyanide exposure three orders of magnitude lower
(0.15e0.3 mM, 0.01e0.02 mg mL�1) than for multi-day exposure
in algae (USEPA Acquire database, 2011), suggesting that algae
are not sensitive test organisms for studies of cyanide.
4. Conclusions and significance
� Diverse freshwater algal taxa showed variable sensitivity of
Fv/Fm suppression in response to nine toxins; there was no
one taxon which was the most sensitive, and lower sensi-
tivity of the laboratory model organism P. subcapitata than
other taxa suggest that for studies on these toxins, using
a suite of algal species will give more ecologically repre-
sentative responses.
� Rapid suppression in Fv/Fm offers considerable time-saving
advantages over traditional 3e4 day growth bioassays,
allowing a larger number of algal species, toxins and toxin
concentrations to be tested in the laboratory, with fewer
resources.
� While PSII inhibitor toxins were expected to have strong
effects on chl a fluorescence parameters, rapid Fv/Fmsuppression in response to glyphosate and KCN, which do
Please cite this article in press as: Choi, C.J., et al., Rapid effects ofVariable responses among freshwater microalgae, Water Resear
not directly target PSII, suggest that Fv/Fm changes can
reflect whole cell physiological stress.
� Bioassays based on rapid Fv/Fm changes offer most promise
in laboratory testing of toxins, where multiple species
selection can be customized to the ecosystem or taxa of
interest; field-portable fluorometers will facilitate field
testing, but distinct responses between species will
complicate interpretation of net Fv/Fm signals from
a community.
Acknowledgments
This study was supported by a grant from the Defense
Advanced Research Projects Agency (DARPA) through the
UWM Center for Water Security to E.B.Y and J.A.B. C-J.C. was
also supported by a UWM Graduate School Fellowship. Zac
Driscoll assisted with some measurements. Elias Greenbaum
and Miguel Rodriguez, Oak Ridge National Laboratory,
provided perspectives which were valuable in shaping this
research. Comments from two anonymous reviewers greatly
helped improve the clarity of the manuscript.
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