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Flocculation causes inhibitor tolerance in Saccharomyces 1 cerevisiae for 2 nd generation bioethanol production 2 Running title: Inhibitor tolerance through flocculation 3 4 5 Johan O Westman 1,2 , Valeria Mapelli 2 , Mohammad J Taherzadeh 1 and Carl Johan Franzén 2,# 6 7 1 School of Engineering, University of Borås, 501 90 Borås, Sweden 8 2 Department of Chemical and Biological Engineering, Division of Life Sciences - Industrial 9 Biotechnology, Chalmers University of Technology, 412 96 Göteborg, Sweden 10 # Corresponding author: [email protected] 11 AEM Accepts, published online ahead of print on 29 August 2014 Appl. Environ. Microbiol. doi:10.1128/AEM.01906-14 Copyright © 2014, American Society for Microbiology. All Rights Reserved. on April 11, 2018 by guest http://aem.asm.org/ Downloaded from
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Flocculation causes inhibitor tolerance in Saccharomyces 1

cerevisiae for 2nd generation bioethanol production 2

Running title: Inhibitor tolerance through flocculation 3

4

5

Johan O Westman1,2, Valeria Mapelli2, Mohammad J Taherzadeh1 and Carl Johan Franzén2,# 6

7

1School of Engineering, University of Borås, 501 90 Borås, Sweden 8

2Department of Chemical and Biological Engineering, Division of Life Sciences - Industrial 9

Biotechnology, Chalmers University of Technology, 412 96 Göteborg, Sweden 10

#Corresponding author: [email protected]

AEM Accepts, published online ahead of print on 29 August 2014Appl. Environ. Microbiol. doi:10.1128/AEM.01906-14Copyright © 2014, American Society for Microbiology. All Rights Reserved.

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Abstract 12

Yeast has long been considered the microorganism of choice for second generation bioethanol 13

production due to its fermentative capacity and ethanol tolerance. However, tolerance towards 14

inhibitors derived from lignocellulosic materials is still an issue. Flocculating yeast strains often 15

perform relatively well in inhibitory media, but inhibitor tolerance has never been clearly linked 16

to the actual flocculation ability per se. In this study, variants of the flocculation gene FLO1 were 17

transformed into the genome of the otherwise non-flocculating laboratory yeast strain 18

Saccharomyces cerevisiae CEN.PK 113-7D. Three mutants with distinct differences in 19

flocculation properties were isolated and characterised. The degree of flocculation and 20

hydrophobicity of the cells were correlated to the length of the gene variant. The effect of 21

different strength of flocculation on the fermentation performance of the strains was studied in 22

defined medium with and without fermentation inhibitors as well as in media based on dilute acid 23

spruce hydrolysate. Strong flocculation aided against the readily convertible inhibitor furfural, 24

but not against less convertible inhibitors, such as carboxylic acids. During fermentation of dilute 25

acid spruce hydrolysate, the most strongly flocculating mutant with dense cell flocs showed 26

significantly faster sugar consumption. The modified strain with the weakest flocculation showed 27

a hexose consumption profile similar to the non-transformed strain. These findings may explain 28

why flocculation has evolved as a stress response, and can find application in fermentation-based 29

biorefinery processes on lignocellulosic raw materials. 30

31

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Introduction 32

Despite the fact that the first large scale lignocellulosic ethanol plants are under development or 33

have recently become operational (1, 2), there are still major hurdles to overcome before this 34

second generation biofuel can become economically competitive. First, lignocellulosic feedstocks 35

contain significant amounts of pentose sugars originating from hemicelluloses, and second, the 36

harsh pretreatment methods that are often necessary lead to the creation of inhibitors that slow 37

down or even stop the subsequent fermentation (3). There are a number of different recombinant 38

yeast strains that can utilise the pentoses xylose and/or arabinose, as reviewed in (4). However, 39

most of these strains cannot efficiently co-utilise hexoses and pentoses, due to Saccharomyces 40

cerevisiae’s strong preference for glucose (5). In northern regions of the world, a lot of attention 41

is focused on ethanol production from spruce, as it is abundantly available. Spruce is often steam 42

pretreated with addition of SO2 or H2SO4, which can result in degradation products that will 43

inhibit the fermentation (6). The inhibitors are usually divided into the categories carboxylic 44

acids, furan aldehydes and phenolic compounds, and the respective amounts of these depend on 45

both the source of the raw material and its pretreatment and hydrolysis (3, 7, 8). The effects of the 46

inhibitors on the fermenting cells include e.g. direct inhibition of catabolic enzymes, generation 47

of reactive oxygen species (ROS), decreased intracellular pH, ATP depletion, toxic anion 48

accumulation and disturbance of membrane integrity (8). This can lead to increased lag time, 49

slower fermentation rate, decreased viability and, ultimately, stuck fermentation. Inhibitory 50

compounds can be further categorised into those that can be rapidly converted to less inhibitory 51

compounds, such as the furan aldehydes (9, 10), and those that are not converted, such as 52

carboxylic acids under anaerobic conditions (11). In the wide array of phenolic compounds there 53

are both convertible and non-convertible inhibitors (12). For in situ detoxification, it is necessary 54

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that the inhibitors are kept at a low level, at least relative to the amount of metabolically active 55

cells: yeast at high cell density using a membrane bioreactor could tolerate high concentrations of 56

furfural (13). Other strategies to handle the toxicity of lignocellulosic hydrolysates involve e.g. 57

fed-batch processes, where the inhibitors can be kept at a low concentration inside the reactor 58

(14). Evolutionary engineering, as well as overexpression of specific genes, have also been 59

shown to increase the tolerance of yeast to toxic hydrolysates. The evolutionary engineering 60

strategies likely lead to beneficial mutations in genes important for the performance of the cells in 61

the hydrolysates (15). As a recent example of metabolic engineering, the overexpression of genes 62

leading to increased glutathione biosynthesis led to better performance of the cells in 63

simultaneous saccharification and fermentation of pretreated spruce (16). 64

It has recently been shown that the tolerance can be improved also at a low average cell 65

concentration without changes to the yeast cells. This happens if the cells are encapsulated inside 66

a semi-permeable membrane, giving a high local cell density (11). In this case, the increased 67

tolerance to inhibitors has two reasons. First, the cells experience a certain stress level due to the 68

encapsulated state where inner lying cells become nutrient limited (11, 17). The slight stress 69

response increases the ability of the cells to cope with the stress deriving from inhibitory 70

compounds (11) and even increases the thermotolerance of the cells (18). Second, it was shown 71

that conversion of the inhibiting compounds is necessary for the increased robustness, and a 72

model was proposed in which the cells close to the capsule membrane convert inhibitors, leaving 73

subinhibitory levels for inner lying cells (11). As an extension of this, it has also been shown that 74

the simultaneous glucose and xylose utilisation by a recombinant S. cerevisiae was improved by 75

encapsulation (19). Glucose is presumably consumed by cells close to the membrane, while 76

xylose is consumed by cells closer to the core (19).With this reasoning, the protective effect does 77

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not mainly come from the membrane of the capsule, and hypothetically it would be observed also 78

if the cells were kept tightly together by other means. 79

Such tight agglomeration of cells can be achieved by flocculation, where cells are kept 80

together by lectin-like cell wall proteins, so called flocculins, that attach to carbohydrates in the 81

cell wall of neighbouring cells (20). Flocculation has since long been used in breweries and other 82

ethanol industries as a means of easy separation of the yeast at the end of the fermentation. In this 83

case the yeast cells do not flocculate during the batch, mainly due to the presence of sugars which 84

competitively inhibit the flocculation by binding to the flocculins (21). For microbiologists, 85

flocculation has often been considered a nuisance due to the difficulties of working with 86

heterogeneous cell suspensions rather than the homogenous ones given by non-flocculating cells. 87

Common lab strains, such as the sequenced S. cerevisiae S288c, do not flocculate. This can be 88

due to different reasons, such as a defective transcription factor controlling the flocculation genes 89

(22), or that the flocculation genes are simply missing. The latter is the case for the recently 90

sequenced S. cerevisiae CEN.PK 113-7D, where the major flocculation genes FLO1, FLO5 and 91

FLO9 are missing (23). However, naturally flocculating strains have been shown to be good at 92

fermenting inhibitory hydrolysates (24-26) and flocculation has also been shown to increase the 93

ethanol tolerance of S. cerevisiae (27, 28). Therefore, it is plausible that flocculation can indeed 94

be a beneficial trait in second generation bioethanol production. 95

In this study, we tested the hypothesis that strong flocculation would lead to improved 96

fermentation performance in lignocellulose-derived inhibitory media, by generation of clustered 97

cells. To this end we constructed strains constitutively expressing variants of FLO1 in CEN.PK 98

113-7D, resulting in different strength of flocculation, and investigated the effects on 99

fermentation of inhibitory media. 100

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101

Materials and Methods 102

Saccharomyces cerevisiae strains. The three recombinant mutants used in this study all 103

originated from CEN.PK 113-7D (MATa, MAL2-8C, SUC2) (29) (kindly provided by Dr. Peter 104

Kötter, Biozentrum, Frankfurt, Germany), which was used as reference strain. Inoculations of 105

pre-cultures were done by picking a colony from fresh YPD agar plates (10 g/l of yeast extract 106

(Scharlau), 20 g/l of soy peptone (Fluka) and 20 g/l of glucose (Fisher Scientific)), prepared using 107

cells stored in glycerol at -80°C. 108

Construction of the flocculating yeast strains. The TDH3 promoter (TDH3p) was 109

amplified from genomic DNA of S. cerevisiae CEN.PK 113-7D by PCR using the primers 110

EcoRV_TDH3p_FW and SpeI_TDH3p-RV (Table 1) and cloned in the pUG6 vector (30). The 111

resulting vector was used as template for amplification of the kanMX-TDH3p cassette using the 112

primers SphI_KAN_FW and SalI_TDH3p-RV (Table 1). The cassette was cloned in Yiplac211 113

(31) and thereafter amplified by PCR using the primers HO_KAN-FW and TDH3p_FLO1-RV 114

(Table 1), giving flanking ends homologous to the HO-locus in S. cerevisiae CEN.PK 113-7D, 115

and to FLO1 from S. cerevisiae S288c [GenBank: NM_001178230.1], respectively. FLO1 was 116

amplified from S288c chromosomal DNA using the primers FLO1-FW and FLO1_HO-RV 117

(Table 1), giving a region homologous to the HO-locus in S. cerevisiae CEN.PK 113-7D. By 118

fusion PCR the kanMX-TDH3p cassette and the FLO1 gene were merged together and amplified 119

using the primers HO-FW and HO-RV (Table 1) in two PCR reactions. Specifically, in the first 120

step the FLO1 gene and the kanMX-TDH3p cassette were mixed in a single PCR reaction for 121

PCR-based fusion, using the Phusion polymerase (Thermo Scientific). The DNA fragment 122

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resulting from the fusion was used as template for the second PCR reaction using the primers 123

HO-FW and HO-RV. This yielded a PCR product with flanking regions homologous to the HO-124

locus that was used for homologous recombination in CEN.PK 113-7D using the lithium acetate 125

based transformation method (32). Transformants were selected on YPD plates containing 200 126

µg/ml G 418 (Sigma-Aldrich), after replica plating once, and were tested for flocculation ability 127

in 4 ml YPD medium in 12 ml tubes, shaking over night. The correct integration into the HO-128

locus was confirmed by PCR using the primers SapI_KAN-RV and Ctrl_HO-FW (Table 1). The 129

nucleotide sequences of the recombinant genes were determined by cycle sequencing (Eurofins 130

MWG Operon, Ebersberg, Germany). 131

Media. Aerobic cultures for cell propagation were grown in 250 ml cotton-plugged conical 132

flasks in a shaker bath (125 rpm) at 30°C. The growth medium used for cell propagation for the 133

flocculation trials and the Microbial Adhesion To Hydrocarbons (MATH) test was yeast extract 134

peptone dextrose (YPD) medium containing 20 g/l glucose. The growth medium used for the 135

batch cultivations was a defined glucose medium (DGM) as previously reported (33), with the 136

additional supplementation of 1g/l CaCl2 to ensure that the degree of flocculation was not limited 137

by possible Ca2+ shortage. 138

The media for the anaerobic batch cultivations were designed to include both readily 139

convertible and non convertible inhibitors found in lignocellulosic hydrolysates, namely furan 140

aldehydes and carboxylic acids. The defined inhibitory media contained the same composition as 141

the DGM described above, with the addition of either 5 g/l furfural (Sigma-Aldrich) or 200 mM 142

of acetic (Sigma-Aldrich), formic (Sigma-Aldrich) and levulinic acid (Aldrich) (12.0, 9.2 and 143

23.2 g/l respectively). DGM was used for comparison, as well as a hydrolysate medium, diluted 144

to approximately 60% due to addition of salts, vitamins, trace metals and ergosterol (Sigma) as in 145

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DGM, and the cell suspension from the precultivation. A more inhibitory hydrolysate medium 146

was achieved by adding 1.5 g/l furfural to the spruce hydrolysate medium. 147

All of the media, with the exception of the hydrolysate medium, had a final glucose 148

concentration of ~20-21 g/l. The pH of all media was adjusted to 5.5 with concentrated NaOH. 149

The hydrolysate was produced from spruce chips treated at pH 2.0 (by SO2 addition), 18 150

bar pressure for 5-7 minutes. The hydrolysate was stored refrigerated at low pH (<pH 2) until 151

use. Before use, the pH was adjusted to 5.5 with 10 M NaOH and the hydrolysate was autoclaved 152

followed by centrifugation to remove solid particles. The hydrolysate medium used for anaerobic 153

fermentations contained: glucose 9.0 ± 0.2 g/l, mannose 11.9 ± 0.1 g/l, galactose 2.5 ± 0.2 g/l, 154

xylose 5.3 ± 0.1g/l, arabinose 1.9 ± 0.1 g/l, acetic acid 2.4 ± 0.1 g/l, furfural 1.78 ± 0.05 g/l, 5-155

hydroxymethyl furfural 0.69 ± 0.03 g/l (n=16). 156

Flocculation trials. The flocculation trials were performed with stationary phase yeast 157

cells harvested 48 h after inoculation in YPD-medium according to a previously reported protocol 158

(26) with slight modifications. In short, EDTA (ethylenediaminetetraacetic acid) deflocculated 159

cells were heat killed and mixed at a concentration of approximately 1*108 cells/ml in citrate 160

buffer (50 mM, pH 4.5) containing 4 mM CaCl2 and various concentrations of the sugars tested 161

in a total volume of 2 ml placed in a 12 ml round bottom tube. The tubes were placed on an 162

orbital shaker and agitated at 160 rpm at 25°C, at an angle of approximately 30° for 4 hours to 163

ensure equilibrium. A sample of 150 µl was taken from just below the meniscus after the tubes 164

had been left stationary in a vertical position for 30 seconds. The sample was dispersed in 850 µl 165

of 100 mM EDTA solution and the cell concentration was measured as OD600. The flocculation is 166

presented as the percentage of free cells = OD600 of sampleOD600 of reference without CaCl2 100. 167

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Hydrophobicity test. The hydrophobicity of cells was tested by the Microbial Adhesion 168

To Hydrocarbons (MATH) assay according to Westman et al. (26). The hydrophobicity is 169

reported as the relative difference between the absorbance of the aqueous phase before and after 170

vortexing with octane: hydrophobicity = 1 OD600 after vortexingOD600 before vortexing 100. 171

Quantitative PCR. Yeast cells grown aerobically in YPD medium were harvested in the 172

expontential phase and total RNA was immediately isolated with the RNeasy kit (Qiagen) with 173

DNase treatment, according to the manufacturer’s protocol. The RNA was subjected to reverse 174

transcription to cDNA with the RevertAid H Minus First Strand cDNA Synthesis Kit (Thermo 175

Scientific), with 500 ng RNA in 20 µl reactions. The expressions of the FLO1 variants and the 176

reference gene TAF10, which showed a stable expression in all samples, were analysed by 177

quantitative PCR using Brilliant® II SYBRGreen QPCR Master Mix (Stratagene), 0.5 µM of 178

forward and reverse primer and 1 µl cDNA. The experiments were performed on a Stratagene 179

Mx3005P instrument, with an initial denaturation for 10 min at 95ºC and amplification using 40 180

cycles of 30 sec at 95ºC and 1 min at 60ºC. A denaturation curve analysis was included at the end 181

of the program to verify the specificity of the primers. The primers used were FLO1-FW and 182

FLO1-RV for the FLO gene variants and TAF10-FW and TAF10-RV for the TAF10 gene (34) 183

(Table 1). The relative expression was calculated from the threshold cycle (Ct) according to the 184

formula: relative gene expression 2 TAF10 FLO1 . 185

Batch cultivations with inhibitors. Due to inherent difficulties of cultivating a 186

flocculating yeast strain reproducibly (growth cannot be monitored by OD600 measurements or 187

withdrawal of samples for dry weight determination), a previously developed cultivation method 188

was used (26), in order to avoid deflocculation of the cells with e.g. EDTA. Hence, the entire 189

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precultivations were used as inocula for the batch cultivations in order to get reproducible data. 190

Separate precultivations were performed for analysis of the initial biomass amounts. Yields were 191

calculated from data at the end of the cultivations, where all biomass could be subjected to dry 192

weight determination. 193

The batch cultivations were carried out in 250 ml conical flasks, cotton plugged for aerobic 194

cultivation and equipped with rubber stoppers fitted with stainless steel capillaries and a glass 195

tube with a loop trap for anaerobic cultivations as previously described (35). Sterile water was 196

used in the loop traps to permit produced CO2 to leave the flasks. The cultivations were started 197

with a 36 h aerobic cultivation in 40 ml DGM containing 25 g/l glucose, in a shaker bath (125 198

rpm) at 30°C. The anaerobic cultivations were subsequently started by addition of 80 ml of fresh 199

medium of different compositions, giving a total volume of ~120 ml and the desired 200

concentrations. Samples of the medium for analysis of extracellular medium by HPLC were 201

taken through the steel capillaries. 202

Analytical methods. The concentrations of metabolites and inhibitors were quantified by 203

HPLC using an Aminex HPX-87H column (Bio-Rad) at 60°C with 5 mM H2SO4 as eluent at a 204

flow rate of 0.6 ml/min. A refractive index detector was used for glucose, formic acid, acetic 205

acid, levulinic acid, glycerol, ethanol, furfural and HMF. For the hydrolysate samples, an Aminex 206

HPX-87P (Bio-Rad) column at 85°C with ultrapure water as eluent at a flow rate of 0.6 ml/min 207

was also used to analyse the glucose, xylose, arabinose, galactose and mannose concentrations, 208

using a refractive index detector. 209

The cell dry weight was measured in predried and preweighed glass tubes. The cells were 210

washed with ultrapure water before drying for 24 h at 105°C. 211

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Statistics, yields, rates and elemental balance calculations. The biomass and 212

metabolite yields were calculated from the concentrations determined at the beginning and the 213

end of the anaerobic fermentations. Produced carbon dioxide was considered to be at the same 214

molar ratio as ethanol and acetate. The biomass composition CH1.76O0.56N0.17 (36) was used in the 215

carbon balance calculations. The consumption and production rates, qS, were calculated 216

according to the formula: 217

qS S SX

where S is the concentration of substrate or product consumed or produced at the time point , 218

and X is the estimated biomass concentration in the middle of the time interval, assuming a 219

linear relationship between ethanol and biomass production. 220

Error intervals are shown as ± one standard deviation unless otherwise mentioned. 221

Statistical tests were performed using two-tailed t-test assuming unequal variance, which is 222

stricter than assuming equal variance. 223

Results and discussion 224

Flocculating mutants constitutively expressing FLO1 variants. The major flocculation gene, 225

FLO1 (20), and the TDH3 promoter region were isolated from genomic DNA of S. cerevisiae 226

S288c and CEN.PK 113-7D, respectively, and merged together with the kanMX selectable 227

marker (37) cloned from pUG6 (30) to yield an integration cassette flanked by regions 228

homologous to the HO-locus, which would lead to integration of the recombinant construct into 229

the HO-locus. Despite numerous attempts, a PCR protocol yielding a single PCR product of the 230

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kanMX-TDH3p cassette with the native, full length FLO1, could not be developed. Subcloning of 231

the FLO1 gene in Escherichia coli was also unsuccessful, as has been observed before (38). 232

Nevertheless, the obtained partial gene PCR products were used for transformation and 233

integration into the S. cerevisiae CEN.PK 113-7D genome. This resulted in several transformants 234

that were selected and grown in liquid YPD medium, whereby mutants with different degrees of 235

flocculation could be isolated (Figure 1A). Three mutants were chosen for further analysis. 236

Below, these are referred to as weakly, intermediately and strongly flocculating, depending on 237

the size of the flocs formed. The strongly flocculating mutant formed the largest and most 238

compact flocs. 239

Longer FLO-gene gives stronger flocculation. Amplification of the integrated TDH3p-240

FLO1 by PCR using the primers EcoRV_TDH3p-FW and HO-RV (Table 1) confirmed that the 241

gene products in the three selected transformants were of different lengths (Figure 1B). The gene 242

region(s) missing in the recombinant versions of FLO1 was narrowed down by restriction 243

analysis of the TDH3p-FLO1 products using the enzymes AccI and ScaI (Figure 1 C,D). 244

Sequencing of the TDH3p-FLO1 products showed that the missing regions were different 245

portions of the previously described internal repeats (39) and that a few point mutations occurred 246

with only minor differences in the amino acid sequences (Table 2, Supplementary material S1). 247

The nucleotide sequences were deposited in GenBank with the accession numbers KM366093, 248

KM366094, and KM366095 for the weakly, intermediately and strongly flocculating FLO1 249

variant, respectively. There were no changes in the TDH3 promoter sequence between the three 250

mutants. Quantitative PCR analysis showed that there were no significant differences in 251

expression of the different flocculation genes (Figure 2).The only difference between the FLO 252

genes in the N-terminal part of the sequence, which is responsible for the carbohydrate binding 253

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(40), was a single silent mutation in the intermediately flocculating mutant (Supplementary 254

material S1). The deleted regions were multiples of 135 bp, translating to 45 amino acids, (Table 255

2), which has been reported to be the length of the repeats (41). These are strong indications that 256

the differences in flocculation strength between the mutants depended solely on the number of 257

repeats in the middle region of the proteins, which has also been suggested previously (39). 258

Differences in protein concentration and localisation are also potential reasons for the differences 259

in flocculation strength, but analysis of this lay beyond the scope of this study. 260

Treating the mutant flocculating strains with the chelating agent EDTA effectively and 261

reversibly deflocculated the cells by removal of Ca2+, showing the expected Ca2+-dependence of 262

the flocculation (42). 263

The flocculation ability in the presence of different sugars was studied for the constructed 264

flocculating mutants (Figure 3). With no sugars present, the levels of free cells were 54 ± 6.0%, 265

5.7 ± 2.5% and 2.5 ± 1.7% (n=4) for the weakly, intermediately and strongly flocculating 266

mutants, respectively. The flocculation of the strongly flocculating mutant was inhibited only by 267

mannose, which was expected since the inserted gene was based on FLO1 (43). For the 268

intermediately flocculating mutant a slight inhibition was also observed at the highest 269

concentration of sucrose (Figure 3). The flocculation of the weakly flocculating mutant was 270

inhibited by all sugars tested. Mannose-dependent inhibition of the flocculation could potentially 271

be a problem in high gravity spruce hydrolysates, which usually contain relatively high amounts 272

of mannose (7). However, this is not a major issue, since at 0.8 M (144 g/l) mannose, the fraction 273

of free cells was still below 50% for the strongly flocculating mutant. 274

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Longer flocculins increase the cell surface hydrophobicity. The flocculating mutants 275

all showed significantly higher cell wall hydrophobicity compared to the non-flocculating strain 276

and the hydrophobicity also varied amongst each other (p < 0.063, two-tailed t-test assuming 277

unequal variance, n=3) (Figure 4). The higher hydrophobicity observed in the flocculating 278

mutants is likely to be caused by the flocculins (44). In this way, the proteins would act in two 279

ways to promote flocculation: by direct binding to carbohydrates and by hydrophobic interactions 280

(45, 46). None of the mutants exhibited adhesive or invasive growth on YPD agar plates. 281

Flocculation improves fermentation performance in inhibitory media. In order to 282

further investigate our hypothesis that high local cell density increases the tolerance towards 283

convertible inhibitory compounds such as furfural (11), the new flocculating mutants and the 284

non-flocculating parental strain were tested for their ability to ferment different media. The batch 285

cultivations were started with a 36 h aerobic pre-cultivation step in 40 ml of defined medium 286

containing 25 g/l glucose in 250 ml E-flasks. In this setup, none of the mutants created large 287

dense cell flocs during the pre-cultivation and all mutants hence exhibited similar growth, as seen 288

by the measured biomass and metabolites at the start of the anaerobic cultivations. Separate 289

experiments using different volume of medium showed that more than 40 ml of medium was 290

required for formation of larger flocs. The anaerobic batch fermentations were initiated by 291

addition of 80 ml of medium, giving the final concentrations in the media as mentioned in the 292

Materials and Methods section. The starting cell concentrations in the batches were 886 ± 3, 867 293

± 22, 833 ± 2 and 831 ± 19 mg dry weight/l (n=3) for the non-flocculating, weakly, 294

intermediately and strongly flocculating mutants, respectively. The starting cell concentration 295

was hence slightly lower for the two most strongly flocculating mutants than for the wild type 296

strain, due to a lower biomass yield during the aerobic pre-cultivation. After the start of the 297

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fermentations, it took a few hours before the dense cell flocs were formed for the strongly 298

flocculating mutant, and longer still for the intermediately flocculating mutant. However, it was 299

clear that constitutive flocculation occurred for all flocculating strains. 300

In non-inhibitory defined glucose medium, the flocculating mutants had slower glucose 301

consumption rate the stronger the flocculation (Figure 5A, Table 3). This was most likely due to 302

mass transfer limitations of nutrients to cells inside the flocs and the slightly lower initial biomass 303

amount. Another contributing factor may have been the increased metabolic burden of the 304

constitutive expression of the flocculin, leading to slower growth rates (27). However, the similar 305

biomass yields indicate that the extra metabolic burden was very small (Table 3). 306

In an initial test of the ability to ferment a toxic medium, the non-flocculating strain and the 307

strongest flocculating mutant were cultivated in a complete spruce hydrolysate, containing 0.21 ± 308

0.00 g/l furfural, 0.73 ± 0.00 g/l HMF and 2.4 ± 0.1 g/l acetic acid (n=4). The flocculation clearly 309

increased the robustness of the strain, enabling it to utilise the glucose and mannose in the 310

hydrolysate faster than the non-flocculating strain, despite the higher initial concentration of 311

biomass for the non-flocculating strain (Figure 5B). Since the spruce hydrolysate was not 312

severely inhibiting even for the non-flocculating strain, 1.5 g/l furfural was added to increase the 313

toxicity of the medium. In this medium, the differences between the strongly flocculating mutant 314

and the non-flocculating parental strain became even clearer. The intermediately flocculating 315

mutant, which formed less dense cell flocs, had only a slightly increased robustness, and the 316

weakly flocculating mutant did not show any significant difference in sugar consumption from 317

the non-flocculating strain (Figure 5C,D). The superior performance of the strongly flocculating 318

cells was also reflected in a significantly higher ethanol production rate compared to the other 319

strains (Table 3). This shows that dense cell flocs are required for the increased robustness of 320

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flocculating strains, as lower levels of flocculation were not effective in increasing yeast 321

robustness under the tested conditions. 322

To further characterise the increased tolerance arising from strong flocculation, the strains 323

were cultivated in defined media containing the readily convertible inhibitor furfural, and a mix 324

of the not readily convertible inhibitors formic, acetic and levulinic acid. Flocculation did not 325

increase the tolerance towards the acids, which cannot be converted anaerobically by the yeast 326

(Figure 5E). Instead, the differences between the strains were similar to those observed in the 327

non-inhibitory medium. On the other hand, in the furfural-supplemented medium, the strongly 328

flocculating mutant was significantly faster at consuming the glucose (Table 3), while the other 329

strains were unable to complete the fermentations (Figure 5F). The intermediately flocculating 330

mutant also showed an improved performance compared to the non-flocculating yeast, whereas 331

the weakly flocculating mutant did not show a significant improvement. Despite the differences 332

in sugar consumption, all strains were able to convert roughly all furfural within 48 hours (Figure 333

6C). 334

Product yields. In all inhibitory media, the ethanol yields were significantly higher (p < 335

0.05) for the strongly flocculating than for the non-flocculating strain (Table 3). This could be a 336

consequence of a potentially altered energy requirement due to flocculation, requiring higher 337

ATP production compared to the non-flocculating cells. Tentatively this was an effect of a higher 338

requirement for maintenance energy by cells in the interior of the flocs, leading to more of the 339

glucose being directed to ethanol production. 340

In the non-inhibitory defined glucose medium, flocculation caused a slight increase in the 341

glycerol yield. The reason for this is unknown and the effect was not observed in the other media. 342

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A decreased yield has been reported for encapsulated yeast, where the cells are also packed 343

tightly together, why the reason for the increased yield in the current case remains elusive (17). 344

The glycerol yields were significantly lower in the two furfural-containing media. Furfural is 345

known to act as a redox sink, and can replace glycerol for reoxidation of excess NADH formed 346

in, e.g., biosynthetic reactions or due to acid formation (47). 347

The biomass yields were lower in all inhibitory media than in the non-inhibitory medium 348

(Table 3). In the inhibitory media, it could also be observed that the biomass yields were higher 349

for the flocculating than for the non-flocculating strain. However, because the flocculating cells 350

were not equally dispersed in the medium, sampling during the fermentation caused a decrease in 351

the volume without decreasing the content of flocculating cells. Therefore, the cell yields of the 352

strongly flocculating mutants were most likely overestimated. 353

High local cell density for increased robustness. The results obtained for the strongly 354

flocculating yeast are similar to what has been observed for a non-flocculating yeast strain which 355

was encapsulated in a semi-permeable gel membrane of alginate and chitosan (11). In that study, 356

it was concluded that the tightly packed cell community created by the encapsulation of the cells 357

increases the overall robustness of the yeast by letting cells close to the membrane convert 358

inhibitors, allowing inner lying cells to ferment sugars because of lower inhibitor concentrations. 359

By computer simulations, it has been shown that diffusion limitations in the encapsulated cell 360

pellet lead to concentration gradients of both nutrients and convertible inhibitors (19). It has also 361

been shown, that encapsulation of yeast induces a starvation stress response which increases the 362

robustness of the yeast community (11, 17). The fact that the cells grow rather slowly inside the 363

capsules might also aid in increasing the robustness, as slow-growing cells have been shown to 364

have increased stress tolerance (48). 365

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Strong flocculation is similar to encapsulation in the sense that it also leads to high local 366

cell concentrations. As in the case of encapsulated yeast, genes involved in stress resistance are 367

upregulated in cells flocculating strongly because of FLO1 expression (27). Furthermore, 368

diffusion limitations in yeast flocs have been observed previously. For example, Ge and Bai(49) 369

showed that mass transfer limits the rates of growth and ethanol formation in flocs larger than 370

100 µm, i.e. significantly smaller than for the strongly flocculating mutant in the current 371

study.Therefore, it is likely that the increased robustness of the flocculating yeast observed in this 372

study can be attributed to similar phenomena as were concluded for the encapsulated yeast. When 373

the cells flocculate strongly and form dense cell flocs up to several mm in diameter, the cells 374

closest to the surface of the floc face the harshest conditions in a medium containing inhibitors. 375

With convertible inhibitors, cells closer to the core experience lower levels, due to coupled 376

diffusion and conversion reactions that cause radial concentration gradients in the floc. However, 377

they also have access to sugars that the outer lying cells cannot utilise. As a whole, the cell 378

community will thus be able to ferment media that are too inhibitory for non-flocculating strains, 379

where all cells are exposed to the same inhibitor concentrations. Moreover, even after complete 380

conversion of the inhibitors, the whole non-flocculating cell population may be severely affected 381

by long-lasting effects of the inhibitors, e.g. a lack of energy reserves. In contrast, flocculating 382

populations may contain cells that are still unaffected by the inhibitors, and are able to ferment 383

the medium. This is illustrated by the significantly different fermentative performance of the 384

different strains (Figure 5F), despite very similar furfural conversion (Figure 6C). In a more 385

complex medium, such as the spruce hydrolysate used, additional inhibitory compounds likely 386

play a role in increasing the difference between the strains, so that the non-flocculating and 387

weakly flocculating cells cannot convert nearly as much of the furan aldehydes as the mutants 388

forming dense cell flocs (Figure 6A,B). However, flocculation does not protect against inhibitors 389

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that are not converted. For example, carboxylic acids can diffuse through the cell flocs without 390

being converted and will therefore, eventually, be present at the same concentration around all 391

cells. This also holds for encapsulated cells, unless the capsule membrane itself can stop diffusion 392

of the inhibitor, as in the case of the hydrophobic inhibitor limonene (11, 50). 393

Another interesting observation made from the fermentation of the hydrolysate was that the 394

rate of mannose consumption was 100% higher in the strongly flocculating mutant than in the 395

non-flocculating strain (Figure 5D, Table 3). Similar effects have recently been shown by 396

encapsulation of a xylose-fermenting yeast, which led to improved simultaneous consumption of 397

glucose, mannose, galactose and xylose (19). This can be explained by the same reasoning as for 398

the increased inhibitor tolerance. Mannose and glucose compete for the same transporter proteins, 399

and because the cells in the periphery of the flocs utilise glucose, the competitive inhibition of 400

mannose uptake by glucose is relieved for the cells closer to the core of the dense cell flocs (51). 401

In wild yeast strains, flocculation is an evolved trait that causes a large number of 402

individual cells to form a community, mimicking multicellular organisms. As we have shown in 403

our experiments, this enables fermentation of otherwise toxic media, likely through protection of 404

part of the community of cells through sacrifice of the outer layer of cells while cells can divide 405

inside the flocs. Furthermore, it has been shown that in a mixture of FLO1-expressing cells and 406

cells that do not express FLO1, the latter cells will make up the outer layer of cells in the yeast 407

flocs (27). This occurs since all cells have the mannose residues in their cell walls that are 408

necessary for binding by flocculins, but the cells lacking FLO1 expression lack the ability to bind 409

to an additional layer of non-flocculating cells. In a toxic medium, the strongest flocculating cells 410

will thus be even better protected in a mixture of cells with different flocculation ability, driving 411

evolution towards survival of the flocculin-expressing cells. 412

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It has been shown previously that flocculation increases the ethanol tolerance of the yeast 413

(27, 28). That strong flocculation, in itself, also increases fermentation rates of toxic 414

lignocellulosic hydrolysates and, specifically, limits the inhibitory effect of high concentration of 415

furfural on yeast fermentation performance is of great potential importance for second generation 416

ethanol production. Since the occurrence of dense cell flocs proved necessary for increased 417

robustness, it is important to consider the reactor design and choice of operational parameters for 418

good performance of a flocculating strain in such applications. Yeast flocs are sensitive to shear 419

forces and it is thus likely that too rapid stirring would lead to disruption of the flocs and 420

abolished inhibitor tolerance. It is clear that further experiments are necessary for assessing the 421

feasibility of using flocculation to improve the fermentation of toxic lignocellulose hydrolysates 422

in large scale bioreactors. 423

Acknowledgements 424

The authors thank Dr. Tomas Brandberg at SEKAB AB, Sweden, for providing the spruce 425

hydrolysate. We are grateful to Oskar Henriksson for performing initial trials. This work was 426

supported by the Swedish Research Council (grant no. 2009-4514) and the Chalmers Energy 427

Initiative (http://www.chalmers.se/en/areas-of-advance/energy/cei/). 428

Competing interests 429

The authors declare that they have no competing interests. 430

References 431

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594

595

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Figures 596

Figure 1 Different flocculation characteristics depending on the size of the FLO-gene. A) 597

The three chosen flocculating transformants showed distinct differences in their flocculation 598

strength, with the weakly flocculating mutant (A2) not forming flocs as dense as the ones of the 599

intermediate (A3) and strongly (A4) flocculating mutants. A1 shows the non-flocculating non-600

transformed CEN.PK 113-7D. B) The PCR product when amplified using the EcoRV_TDH3p-601

FW and HO-RV primers from the genomic DNA of the different strains showed that the inserts 602

had different length, with longer insert corresponding to stronger flocculation. C) Restriction with 603

AccI and ScaI, respectively, showed that the difference in the inserts localised to the middle 604

region of the FLO1 gene. None of the inserts contained the entire FLO1 gene and the difference 605

in length of the FLO1 variants was in a 2809 bp region in the middle of the wild type FLO1. D) 606

Schematic representation of the TDH3p-FLO1-HO recombinant construct. ScaI and AccI 607

restriction sites are indicated. The full length FLO1 is shown with the approximate regions 608

present in the variants (A2-A4), as identified through sequencing, represented by black lines 609

below. An alignment of the full sequences is available in Figure S1. 610

Figure 2 Equal expression of flocculation genes. 611

The expression of the FLO1 gene variants was analysed by quantitative PCR and showed to be 612

equal for the different strains when compared to the reference gene, TAF10. Averages of 613

duplicate biological replicates with duplicate technical replicates are shown with ± one standard 614

deviation, n=2. 615

Figure 3 Sugar inhibition of flocculation. 616

The amount of free cells in the presence of various sugars in different concentrations was 617

measured by turbidimetry. A) Weakly flocculating mutant. B) Intermediately flocculating mutant. 618

C) Strongly flocculating mutant. The flocculation of all strains was inhibited by mannose and for 619

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the weakly flocculating strain to some degree also by various other sugars. Average values of 620

duplicate experiments with duplicate technical replicates, shown with ± one standard deviation, 621

n=2. 622

Figure 4 The cell wall hydrophobicity is greatly affected by the length of the flocculation 623

gene. 624

The stronger the flocculation, and the larger the size of the inserted mutant variant of FLO1 and 625

corresponding protein, the higher the cell wall hydrophobicity. Average values of triplicate 626

experiments with duplicate technical replicates, shown with ± one standard deviation, n=3. 627

Figure 5 The fermentation profiles of the flocculating strains in different media reveal 628

distinct differences in inhibitor tolerance. 629

The fermentation profiles of the different strains were distinctly different in the different media 630

tested: A) defined non-inhibitory medium, B) spruce hydrolysate, C) glucose and D) mannose in 631

spruce hydrolysate with 1.5 g/l extra furfural, E) defined medium with 200 mM each of formic, 632

acetic and levulinic acid, and F) defined medium with 5 g/l furfural. With strong flocculation 633

creating dense cell flocs, the tolerance towards the readily convertible inhibitor furfural as well as 634

the spruce hydrolysate was increased, leading to faster fermentations. For the not readily 635

convertible acids, as well as the non-inhibitory medium, mass transfer limitations through the 636

flocs plausibly decreased the fermentation rates, leading to longer fermentation times the 637

stronger the flocculation. Average values of 3-4 experimental replicates (duplicates for B) are 638

shown with ± one standard deviation. 639

Figure 6 Furan aldehydes concentrations during batch cultivations 640

The furan aldehydes concentrations during batch cultivations of the different strains were 641

distinctly different in the spruce hydrolysate medium, with added furfural, for A) HMF and B) 642

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furfural, where the more tolerant strains converted the inhibitors faster. C) In the medium with 5 643

g/l furfural, the profiles were however rather similar, with only a slightly different conversion 644

profile of the non-flocculating strain. Average values of 4 experimental replicates are shown with 645

± one standard deviation. 646

647

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Table 1 – PCR primers

Primer name Nucleotide sequence 5’ 3’

Ctrl-HO-FW CAGAAAGGGTTCGCAAGTC

EcoRV_TDH3p-FW ATGATATCCAGTTCGAGTTTATCATTATC

FLO1-FW ATGACAATGCCTCATCGCTATATGTTTTTGGC

FLO1-HO-RV TTAGCAGATGCGCGCACCTGCGTTGTTACCACAACTCTTATGAGT

TAAATAATTGCCAGCAATAAG

FLO1-RV CTGCATTCGAATATGTGGAGG

HO-FW TACTTTGAATTGTACTACCGCTGGGC

HO-KAN-FW TACTTTGAATTGTACTACCGCTGGGCGTTATTAGGTGTGAAACCA

CGAGCTTCGTACGCTGCAGGTAG

HO-RV TTAGCAGATGCGCGCACCTGCGTTG

SalI_TDH3p-RV TACGTCGACGTGTGTTTATTCGAAACTAAG

SapI_KAN-RV CAGCTCTTCCGCTCCTAATAACTTCGTATAG

SpeI_TDH3p-RV TACTAGTGTGTGTTTATTCGAAA

SphI_KAN-FW ATAATGCATGCTTCGTACGCTGCAGGTAGACAAC

TDH3p-FLO1-RV CATATAGCGATGAGGCATTGTCATGTGTGTTTATTCGAAACT

TAF10-FW ATATTCCAGGATCAGGTCTTCCGTAGC

TAF10-RV GTAGTCTTCTCATTCTGTTGATGTTGTTGTTG

Bold type indicates restriction sites.

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Table 2 Differences in the flocculation genes/proteins from the characterised mutants

compared to FLO1

Mutant Deleted regions Number of deleted 45

aa repeats Point mutations

Weakly

flocculating

nt 948-2297,

nt 2418-2822 10 + 3

Intermediately

flocculating nt 1029-2243 9 H926T

Strongly

flocculating nt 1275-2219 7

I882V, I906V,

S907T, H926T,

V1361A

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Table 3 Product yields and rates in anaerobic batch cultivations

Medium Strain YSE YSAce YSGly YSX qEtOH qGlu qMan CR (%)

DGM

WT 414±5 9±2 53±1 65±3 0.89±0.03 2.2±0.1 n/a 95±2

Weakly 412±5 13±0* 58±1* 67±4 0.85±0.04 2.1±0.1 n/a 96±1

Intermediately 412±4 13±2* 59±3* 69±3 0.82±0.04 2.0±0.1 n/a 96±2

Strongly 413±8 11±1 59±2* 69±2 0.77±0.03* 2.0±0.1* n/a 96±2

Furfural

WT 415±13 22±4 61±8 -1±2 0.24±0.03 0.61±0.06 n/a 90±2

Weakly 435±16 22±2 59±5 -2±1 0.24±0.02 0.61±0.06 n/a 93±3

Intermediately 440±9* 25±2 52±3 5±3* 0.25±0.02 0.63±0.05 n/a 94±2

Strongly 445±5* 26±2 43±2* 8±0* 0.34±0.02* 0.81±0.05* n/a 94±1

Carboxylic

acids

WT 421±4 36±4 71±1 12±1 0.23±0.01 0.57±0.02 n/a 94±0

Weakly 420±1 47±4* 75±2 19±3* 0.19±0.01* 0.49±0.03* n/a 96±1

Intermediately 421±2 45±19 78±1* 25±3* 0.17±0.04 0.42±0.10 n/a 98±1

Strongly 430±3* 36±5 69±2 26±4* 0.20±0.02* 0.47±0.04* n/a 98±1

Hydrolysate

+ 1.5 g/l

furfural

WT 431±16 42±8 20±3 -3±4 0.22±0.03 0.37±0.05 0.10±0.03 90±3

Weakly 427±18 40±14 22±3 3±1* 0.20±0.03 0.35±0.01 0.10±0.02 90±2

Intermediately 439±15 35±2 20±2 9±3* 0.23±0.02 0.39±0.02 0.11±0.03 94±2

Strongly 468±15* 25±2* 23±2 7±3* 0.30±0.02* 0.44±0.04 0.20±0.06* 97±3

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Yields (n≥3) are shown in mg product per g consumed hexose. YSE – Ethanol yield, YSAce – Acetate yield, YSGly –

Glycerol yield, YSX – Biomass yield, qETOH, qGlu and qMan – average specific rate of ethanol production and glucose and

mannose consumption, g g-1 h-1 during the first 15 hours (6 hours for DGM), CR – carbon recovery, n/a – not

applicable, * significantly different from the WT, p < 0.05, in a two-tailed t-test assuming unequal variance.

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