Open Access

Effect of HXT 1 and HXT 7 hexose transporter overexpression on wild-type and lactic acid producing Saccharomyces cerevisiae cells

  • Giorgia Rossi1,
  • Michael Sauer2, 3,
  • Danilo Porro1Email author and
  • Paola Branduardi1
Microbial Cell Factories20109:15

DOI: 10.1186/1475-2859-9-15

Received: 13 October 2009

Accepted: 9 March 2010

Published: 9 March 2010

Abstract

Background

Since about three decades, Saccharomyces cerevisiae can be engineered to efficiently produce proteins and metabolites. Even recognizing that in baker's yeast one determining step for the glucose consumption rate is the sugar uptake, this fact has never been conceived to improve the metabolite(s) productivity.

In this work we compared the ethanol and/or the lactic acid production from wild type and metabolically engineeredS. cerevisiae cells expressing an additional copy of one hexose transporter.

Results

Different S. cerevisiae strains (wild type and metabolically engineered for lactic acid production) were transformed with the HXT 1 or the HXT 7 gene encoding for hexose transporters.

Data obtained suggest that the overexpression of an Hxt transporter may lead to an increase in glucose uptake that could result in an increased ethanol and/or lactic acid productivities. As a consequence of the increased productivity and of the reduced process timing, a higher production was measured.

Conclusion

Metabolic pathway manipulation for improving the properties and the productivity of microorganisms is a well established concept. A high production relies on a multi-factorial system. We showed that by modulating the first step of the pathway leading to lactic acid accumulation an improvement of about 15% in lactic acid production can be obtained in a yeast strain already developed for industrial application.

Background

Natural Saccharomyces cerevisiae cells have long been utilized as very efficient biocatalysts, thanks to their native enzymatic capabilities. Ethanol, single cell proteins, flavours and fragrances are among the most traditional examples.

Since about three decades budding yeast can also be engineered and has been used to efficiently produce simple as well as complex molecules. Prominent examples are proteins with pharmaceutical applications, industrial enzymes, organic acids, new bio-fuels, biopolymers, vitamins and steroids, in a single fermentation step [18].

Glucose, either derived from starch and/or cellulosic materials, is the main carbon and energy source today available.

An economically sustainable bioprocess leading to the production of a homologous or heterologous low molecular compound requires a high yield (grams of product obtained by gram of substrate), high production titer (g/L) and high productivity (g/L/h) values.

It has been shown that high yields and high production titres can be obtained by recombinant redirection of the carbon flow towards the desired compound. In this respect, prominent examples are the production of lactic-, pyruvic- and malic- acid, glycerol and resveratrol [913]. Theoretically, high productivities could be obtained by increasing the carbon consumption rates itself (i.e., essentially the glycolytic flux rate). It should be also underlined that an increased productivity, and therefore a reduction of the process duration, is not only implying a reduction in terms of costs. Cell factory viability (and therefore production) has also to be taken into account: very often the production process involves a stressful environment, leading to cell death during fermentation, as in the case of ethanol production, gradually reducing cell viability and thereby biocatalyst concentration [14].

Glucose transport, hexose phosphorylation, phosphofructokinase and pyruvate kinase activities have all been proposed to play central roles in the control of glycolysis flux rates [1520].

Individual or simultaneous overproduction of glycolytic enzymes resulted either in no increases in glycolytic flux or in only incremental increases [2125]. Furthermore, attempts to correlate glycolytic flux with enzyme levels under different physiological conditions have generally failed [2628]. This is likely because the control of glucose catabolism is distributed over several different metabolic controls; in this context, glucose transport has been suggested to be one of the most important players [29, 30].

Glucose transport in S. cerevisiae relies on a multi-factorial uptake system. More in details, the uptake of glucose by S. cerevisiae is controlled by multiple hexose transporters (Hxts) [31]. At least 20 HXT genes encoding these transporters have been identified [31, 32]. Many and different studies were done to determine the respective biochemical features of these transporters (affinity and capacity), as well as to construct strains deleted in one or more HXT genes and to construct chimera proteins combining affinity and capacity of different transporters [3335]. Remarkably, Otterstedt et al.[33] showed that a simple manipulation of the glucose uptake can strongly alter the mode of metabolic control.

Essentially, the various hexose transporters differ considerably in substrate specificity and affinity. Hxt1 and Hxt3 are low-affinity transporters (Km for glucose, ~50 to 100 mM), Hxt4 is a moderately low-affinity transporter, and Hxt2, Hxt6, and Hxt7 are high-affinity transporters (Km for glucose, ~1 to 4 mM) [36, 37]. Hxt5 has been shown to be a transporter with intermediate to high affinity [38, 39]. Both high- and low-affinity carriers have been shown to have a higher affinity for glucose than for fructose [37]. Analyses of the effect of HXT gene inactivation have shown that the hexose carriers Hxt1 to Hxt7 are the main transporters [37]. In this respect, it has been already shown that the ethanol (and CO2) productivity and yield (grams of ethanol produced per gram of glucose consumed) can be improved by overexpression of HXT 1 transporter in S. cerevisiae[4043].

S. cerevisiae has long been studied for the production of organic acids like lactic, ascorbic, pyruvic and malic [[4, 8, 11] and [44]]. Indeed, yeast can grow and survive at low pH values, avoiding the accumulation of the respective salts [4, 11].

Here we show improved lactic acid productivities, induced by an increase of the glucose consumption rate. Hxt1 and Hxt7 have been selected for this study. In spite of their different biochemical properties, the overexpression of HXT 1 or HXT 7 genes does lead to very similar results in the tested conditions. Moreover, we demonstrate that the increase of the glucose consumption rate has a positive effect not only in respect to microbial productivity and metabolite production, but also on biomass accumulation. Said phenomenon is more or less evident in respect to the yeast background.

Results

Effect of HXT1 and HXT7 overexpression in naturally ethanol producing yeasts

First the effect of the overexpression of the two different hexose transporters in two different yeast genetic backgrounds was studied. The strains GRF18U (the model yeast strain used in our laboratory) [45] and CEN.PK (a generally accepted reference yeast strain) [46] were both transformed with the integrative plasmids p022HXT1 or p022HXT7, respectively carrying the HXT 1 [47] and HXT 7 [31] genes under the control of the glycolytic Sc TPI promoter (Table 1: for each transformation, at least three independent transformants were analysed in three independent experiments). HXT 1 and HXT 7 encode for the two hexose transporters having the lowest and the highest affinity for glucose, respectively.
Table 1

Transformed strains used in this study

Strains

Genotype

Plasmid*

GRF18U

MATa, ura3, his3, leu2

p022 (Sc TPI; -; HIS 3)

GRF18U [ HXT 1]

MATa, ura3, his3, leu2

p022HXT1 (Sc TPI; HXT 1; HIS 3)

GRF18U [ HXT 7]

MATa, ura3, his3, leu2

p022HXT7 (Sc TPI; HXT 7; HIS 3)

CEN.PK

MATa, ura3-52, his3-11, leu2-3/112, TRP1, MAL2-8c, SUC2

p022 (Sc TPI; -; HIS 3)

CEN.PK [ HXT 1]

MATa, ura3-52, his3-11, leu2-3/112, TRP1, MAL2-8c, SUC2

p022HXT1 (Sc TPI; HXT 1; HIS 3)

CEN.PK [ HXT 7]

MATa, ura3-52, his3-11, leu2-3/112, TRP1, MAL2-8c, SUC2

p022HXT7 (Sc TPI; HXT 7; HIS 3)

CEN.PK [LDH]

MATa, ura3-52, his3-11, TRP1, MAL2-8c, SUC2

p022 (Sc TPI; -; HIS 3)

p212LDH (Sc TPI; LDH; LEU 2)

CEN.PK [ HXT 1] [LDH]

MATa, ura3-52, his3-11, TRP1, MAL2-8c, SUC2

p022HXT1 (Sc TPI; HXT 1; HIS 3)

p212LDH (Sc TPI; LDH; LEU 2)

CEN.PK [ HXT 7] [LDH]

MATa, ura3-52, his3-11, TRP1, MAL2-8c, SUC2

p022HXT7 (Sc TPI; HXT 7; HIS 3)

p212LDH (Sc TPI; LDH; LEU 2)

CEN.PKm850 [LDH][50]

MATa, pdc1::loxP, pdc5::loxP, pdc6::loxP, ura3-52

YEpLpLDH[50] (Sc TPI; LDH; URA 3)

p022KMX4 (Sc TPI; -; G418R)

CEN.PKm850 [ HXT 1] [LDH]

MATa pdc1::loxP pdc5::loxP pdc6::loxP ura3-52

YEpLpLDH[50] (Sc TPI; LDH; URA 3)

p022KMX4HXT1 (Sc TPI; HXT 1; G418R)

CEN.PKm850 [ HXT 7] [LDH]

MATa pdc1::loxP pdc5::loxP pdc6::loxP ura3-52

YEpLpLDH[50] (Sc TPI; LDH; URA 3)

p022KMX4HXT7 (Sc TPI; HXT 7; G418R)

* Plasmid name. In brackets are reported the promoter, the harboured gene and the selection marker, respectively.

Initially, a functional analysis of the cloned HXT 1 and HXT 7 genes was performed by examining the effect of their expression in a hxt1-7 deleted strain, RE700 [48]. While the control strain grows very poorly on glucose minimal medium, the transformed ones partially resumed the natural ability (data not shown). Then the natural abilities of the control and of the HXT 1 or HXT 7 transformed yeasts to produce ethanol were compared. Figure 1 and Figure 2 show the shake-flask batch growth kinetics in defined YNB-2% glucose medium of transformed GRF18U (Figure 1, see also Table 2) and CEN.PK (Figure 2, see also Table 2) yeast strains. Panel (A) shows the growth, measured as optical density (OD660), of the wild type strain (open circles), of the HXT 1 (closed circles) and HXT 7 (open squares) overexpressing strains. Panels (B) and panels (C) show the glucose consumption and the ethanol production, respectively. The results clearly show that the presence of an additional copy of a hexose transporter leads to a faster glucose consumption rate and a faster ethanol production rate (panels B and C). It can be observed that similar glucose consumption rates have been observed from the different transformed strains, despite of the different biochemical features of the Hxt1 and Hxt7 transporters. A very low glucose concentration should have been tested to evidence the effect of the overexpression of the HXT 7 transporter (which has the highest affinity for glucose): however, at that concentration the fermentation product formation would have also been very low. The two genes were initially tested because we could not a priori predict their positive or, eventually, negative effect.
https://static-content.springer.com/image/art%3A10.1186%2F1475-2859-9-15/MediaObjects/12934_2009_Article_405_Fig1_HTML.jpg
Figure 1

Overexpression of HXT 1 or HXT 7 genes in the S. cerevisiae GRF18U strain. Strains were flask-batch grown in minimal (YNB) medium, with glucose as a carbon source. (A) Growth was measured as optical density (OD 660 nm). (B) Residual glucose, g/L. (C) Ethanol produced, g/L. Data correspond to the mean values of three independent clones independently tested at least three times. Standard error is lower than 0.03%. Open circles: GRF18U-Control. Closed circles: GRF18U [HXT 1] transformants. Open squares: GRF18U [HXT 7] transformants.

https://static-content.springer.com/image/art%3A10.1186%2F1475-2859-9-15/MediaObjects/12934_2009_Article_405_Fig2_HTML.jpg
Figure 2

Overexpression of HXT 1 or HXT 7 genes in the S. cerevisiae CEN.PK strain. Strains were flask-batch grown in minimal (YNB) medium, with glucose as a carbon source. (A) Growth was measured as optical density (OD 660 nm). (B) Residual glucose, g/L. (C) Ethanol produced, g/L. Data correspond to the mean values of three independent clones independently tested at least three times. Standard error is lower than 0.03%. Open circles: CEN.PK-Control. Closed circles: CEN.PK [HXT 1] transformants. Open squares: CEN.PK [HXT 7] transformants.

Table 2

Effect of the overexpression of HXT 1 or HXT 7 genes in the S. cerevisiae GRF18U or CEN.PK strains

Strains

Glc

%

YNB%

aa mg/L

Agitation

μ_exp phase

[1/h]

Rate Glc Consumption* [g/L/h]

Rate EtOH Production* [g/L/h]

Rate LA Production* [g/L/h]

Y_EtOH**

[g EtOH/g Glc]

Y_LA**

[g L.A./g Glc]

CEN.PK

 

2.39

1.34

50

YES

0.28

+/- 0.05

-0.77

+/- 0.08

0.23

+/- 0.09

-

0.19

+/- 0.11

-

CEN.PK

[HXT 1]

2.39

1.34

50

YES

0.29

+/- 0.07

-0.83

+/- 0.08

0.27

+/- 0.04

-

0.21

+/- 0.05

-

CEN.PK

[HXT 7]

2.39

1.34

50

YES

0.29

+/- 0.02

-0.82

+/- 0.08

0.28

+/- 0.03

-

0.20

+/- 0.03

-

CEN.PK

 

5.68

2.68

150

YES

0.33

+/- 0.05

-1.66

+/- 0.06

0.42

+/- 0.01

-

0.19

+/- 0.00

-

CEN.PK

[HXT 1]

5.68

2.68

150

YES

0.33

+/- 0.03

-1.74

+/- 0.09

0.44

+/- 0.01

-

0.20

+/- 0.01

-

GRF18U

 

2.39

1.34

50

YES

0.25

+/- 0.05

-0.69

+/- 0.04

0.27

+/- 0.05

-

0.23

+/- 0.01

-

GRF18U

[HXT 1]

2.39

1.34

50

YES

0.25

+/- 0.03

-0.79

+/- 0.08

0.32

+/- 0.06

-

0.25

+/- 0.08

-

GRF18U

[HXT 7]

2.39

1.34

50

YES

0.25

+/- 0.04

-0.80

+/- 0.07

0.31

+/- 0.06

-

0.24

+/- 0.06

-

CEN.PK

[LDH]

2.04

1.34

50

YES

0.12

+/- 0.04

-0.38

+/- 0.07

0.09

+/- 0.08

0.08

+/- 0.09

0.17

+/- 0.01

0.21

+/- 0.01

CEN.PK

[HXT 1] [LDH]

2.04

1.34

50

YES

0.14

+/- 0.08

-0.40

+/- 0.05

0.10

+/- 0.04

0.09

+/- 0.06

0.19

+/- 0.09

0.24

+/- 0.01

CEN.PK m850

[LDH]

9.14

1.70

-

YES

0.02

+/- 0.00

-1.21

+/- 0.00

-

0.77

+/- 0.00

-

0.67

+/- 0.00

CEN.PK m850

[HXT 1] [LDH]

8.96

1.70

-

YES

0.03

+/- 0.09

-1.22

+/- 0.08

-

0.85

+/- 0.02

-

0.76

+/- 0.02

CEN.PK

 

2.13

1.34

150

NO

0.26

+/- 0.03

-1.22

+/- 0.03

0.41

+/- 0.08

-

0.40

+/- 0.03

-

CEN.PK

[HXT 1]

2.13

1.34

150

NO

0.26

+/- 0.04

-1.30

+/- 0.02

0.45

+/- 0.02

-

0.45

+/- 0.08

-

CEN.PK

 

5.68

2.68

150

NO

0.23

+/- 0.01

-4.30

+/- 0.06

1.37

+/- 0.05

-

0.31

+/- 0.08

-

CEN.PK

[HXT 1]

5.68

2.68

150

NO

0.23

+/- 0.04

-4.36

+/- 0.07

1.58

+/- 0.06

-

0.36

+/- 0.09

-

Table summarizes all the data obtained with wild type and engineered yeasts (see first column) grown in the indicated conditions (see columns 2-5). The specific growth, glucose consumption, ethanol and lactate production rates together with yield for ethanol and lactic acid production are given. For the described determinations, the respective standard error is indicated. Glc: glucose. aa: aminoacids. LA: lactic acid. * determined in exponential phase. ** determined at the timing of the highest metabolite (ethanol or lactic acid) production.

Indeed, similar effects were also obtained when glucose concentration was increased to 5% (Table 2, only data obtained in the CEN.PK background overexpressing the HXT 1 gene are shown). Biomass production is also increased, particularly in the CEN.PK yeast background. We do not have any explanation for that.

It is also important to underline that during balanced exponential growth, the specific growth rates of the control and the transformed strains are equal (Table 2). A very similar correlation (i.e., increased glucose consumption vs higher metabolite and higher biomass production) has been previously observed in our laboratory [49]. All the data are summarised in Table 2: the glucose consumption rate (at least in the first phases of the process) and the ethanol productivity and production were improved by overexpressing HXT 1 or HXT 7 in the two different yeast genetic backgrounds tested. It needs to be underlined that when cells were grown in medium containing 5% glucose, also the nitrogen content was consequently incremented (see Methods), determining the development of a higher biomass. This justifies the higher glucose consumption and ethanol production rates measured in these growth conditions (Table 2).

Finally, when transformants were grown in the above described media but under micro-anaerobic conditions, similar results have been obtained in respect to growth rate and to substrate consumption and ethanol production (Table 2). Remarkably, in this case the improvement in the ethanol yield of the transformants was higher as the glucose consumption rate (Table 2).

Effect of HXT1 overexpression in yeast engineered for lactic acid production

The CEN.PK S. cerevisiae strain harbouring the integrative p022HXT1 expression vector was further transformed with the multicopy plasmid p212LDH bearing an engineered Lactobacillus plantarum LDH gene [49] under the control of the glycolytic Sc TPI promoter (Table 1). We can briefly comment that very similar results were obtained in GRF18 background and overexpressing the HXT 7 gene in both yeasts (data not shown).

Independent transformants were shake flask cultured in YNB-minimal medium. Figure 3 shows the behaviours of the LDH (open circles) and of the HXT 1-LDH (closed circles) overexpressing strains. Panels (A) and (B) report the cell density (as OD 660 nm) and the glucose consumption, while panels (C) and (D) the ethanol and the lactate accumulation during growth on defined YNB-2% glucose based medium. It is important to underline that while the transformed CEN.PK strains shown in Figure 2 require uracil and leucine for growth, the CEN.PK transformed strains shown in Figure 3 require only leucine. It is reasonable to assume that because of that a slightly different amount on biomass accumulation was observed (compare Figure 2 and Figure 3).
https://static-content.springer.com/image/art%3A10.1186%2F1475-2859-9-15/MediaObjects/12934_2009_Article_405_Fig3_HTML.jpg
Figure 3

CEN.PK S. cerevisiae strain overexpressing the HXT 1 gene or the HXT 1 and the Lp LDH gene. Strains were flask-batch grown in minimal (YNB) medium, with glucose as a carbon source. (A) Growth was measured as optical density (OD 660 nm). (B) Residual glucose, g/L. (C) Ethanol produced, g/L. (D) Lactate produced, g/L. The data correspond to the mean values of three independent clones independently tested at least three times. Standard error is lower than 0.03%. Open circles: CEN.PK [LDH]-Control. Closed circles: CEN.PK [HXT 1] [LDH] transformants.

It was observed also in these transformants that an additional copy of HXT 1 lead to an increase in glucose consumption (Figure 3, panel B). Remarkably, both the ethanol and the lactic acid productivities and titres are improved (Figure 3, panels C and D).

Effect of HXT1 overexpression in homolactic yeasts

Considering the improved product titres and productivities obtained, we tested the lactic acid production in the engineered host strain CEN.PK m850 [LDH] (Table 1), ad hoc constructed for being a low-pH homolactic producing yeast [50]. Said strain does not produce ethanol because it is totally devoid of pyruvate decarboxylase (Pdc) activity, it bears the L. plantarum LDH on a multicopy yeast expression plasmid and finally it has been selected, with an inverse metabolic engineering approach, for its acid tolerance. Figure 4 shows the behavior of the CEN.PK m850 [LDH] strain and of the same strain expressing an additional copy of the HXT 1 transporter cultivated with 90 g/L of glucose. Independent transformants were tested for glucose consumption and lactic acid production. Under these growth/production conditions both strains did not consume all the glucose present in the medium. The control strain produced approximately 60 g/L of lactic acid at very low pH (after 70 h from the inoculum the external pH value was lower than 3.0). In the strain expressing an additional HXT 1 copy no improvement in biomass production was observed, while the measured glucose consumption was faster; as a consequence, it could produce a considerable additional amount of lactic acid (about 15% more), or the same amount in a shorter period of time (about 1,4 times faster) (see also Table 2). In line with the previously described kinetics, similar results have been obtained overexpressing the HXT 7 gene in the CEN.PK m850 background (data not shown).
https://static-content.springer.com/image/art%3A10.1186%2F1475-2859-9-15/MediaObjects/12934_2009_Article_405_Fig4_HTML.jpg
Figure 4

Lactic acid production in the CEN.PK m850 [LDH] strain overexpressing the HXT1 gene. (A) Growth was measured as optical density (OD 660 nm). (B) Residual glucose, g/L. (C) Lactic acid produced, g/L. The data correspond to the mean values of three independent clones independently tested at least three times. Standard error is lower than 0.03%. Open circles: CEN.PK m850 [LDH]-Control. Closed circles: CEN.PK m850 [HXT 1] [LDH] transformants.

This last experiment shows the successful application of what was previously shown in laboratory strains (Figure 3) also in a strain already developed and optimised for industrial productions.

In Table 2 the data related to the lactic acid producing m850 strain are also summarised and included.

Discussion

The hexose transporter gene family in S. cerevisiae contains the sugar transporter genes HXT1 to HXT17, GAL2 and the glucose sensor genes SNF3 and RGT2[3133]. HXT 1 and HXT 3 genes have already been overexpressed in yeasts. More in detail, the effect of the overexpression of HXT1 gene has been tested in a S. cerevisiae strain [42] during growth on complex-rich based media. A significant increase on the ethanol productivity (g/L/h) was observed. Also the ethanol yield, expressed as gram of ethanol produced per gram of substrate consumed, showed a significant (3%) improvement. This is in line with our findings. However, Gutiérrez-Lomelì et al.[42] observed no significant effects on final ethanol concentration. On the other hand, while Gutiérrez-Lomelì et al.[42] examined strains producing 40-45 g/L of ethanol, we used physiological conditions leading to the accumulation of 4-6 g/L. Therefore, it could be speculated that a saturation limit could be reached when the strains are grown in the presence of a huge amount of glucose.

A minor difference is that Gutiérrez-Lomelì et al.[42] did not observe any improvement in the biomass production. Once more, it should be underlined that the transformed strains have been grown under very different conditions (rich-complex or defined-minimal media, respectively).

Guillaume et al.[51] have demonstrated that the pattern of fructose utilization during wine fermentation can be altered in yeasts harbouring a mutated HXT3 allele. More in details the authors found that the glycolytic flux could be increased by the overexpression of a mutated version of the transporter gene. Data demonstrate that the Hxt3 hexose transporter plays a key role in determining the glucose/fructose utilization ratio during wine fermentation. All these findings are in line with the data shown in this paper as well as with the ones reported by Elbing et al.[15]. Following a very elegant approach, the authors built a series of strains having different rates of ethanol production, linearly correlating with the maximal specific glucose consumption rates attained during exponential growth on glucose. However, the same authors concluded that the hexose transporter has no or very low control over glycolytic flux in the wild type cells growing in the presence of high glucose concentrations.

Concluding, even if the metabolically engineered S. cerevisiae yeast strains are among the most prominent recombinant hosts usable for the industrial production of lactic acid [4, 8, 12, 44], the overexpression of a hexose transporter has never been conceived to improve the productivity of this organic acid. In the recent past, aimed to improve the lactic acid production by metabolically engineered yeasts, we showed that the redirection of the pathway towards the lactate production can be strongly modulated by the genetic background of the host cell, by the source of the heterologous LDH enzyme, by improving its biochemical properties as well as by modulating (even if to very low extent) the export of lactate in the culture media [49]. In this article, we modulate the lactic acid productivity by improving the efficiency of the first step of the pathway - the glucose uptake - leading to the accumulation of lactic acid from glucose.

Finally, it should be underlined that a variety of organic acids draw more and more attention as new building block materials for the chemical industry [4]. If produced by environmentally benign fermentation strategies, they can provide a sound alternative to petroleum derived, and therefore limited, building block materials.

It can be anticipated that the production of these organic acids could be similarly improved by the overexpression of additional copies of one or more hexose transporters [43].

Methods

Yeast strains, transformation, media and cultivation

The S. cerevisiae strains used in this study derive from the following strains: GRF18U (MATα, ura3; leu2-3,112; his3-11,15; cir+) [45], CEN.PK strains 102-5B (MATa, ura3-52, his3-11, leu2-3/112, TRP1, MAL2-8c, SUC2 - Dr. P. Kötter, Institute of Microbiology, Johann Wolfgang Goethe-University, Frankfurt, Germany) [46], and CEN.PK m850 [50, 52]. Yeast transformations were performed basically according to the LiAc/PEG/ss-DNA protocol [53]. The control strain is, for each background, the corresponding yeast strain transformed with the empty plasmid(s).

Independent transformants and the respective control strains (at least three for each transformation) were cultivated in shake flasks in minimal synthetic medium (1.34% or 2,68% [w/v] YNB medium [catalogue no. 919-15 Difco Laboratories, Detroit, Mich.] with 2% or 5% [w/v] glucose and 50 mg/L or 150 mg/L of appropriate amino acid(s), respectively).

All strains were grown in shake flasks at 30°C. For aerobic growth, flasks were agitated at 160 r.p.m. and the ratio of flask volume/medium was of 5/1. For microaerobic condition, flasks were sealed and the ratio of flask volume/medium was of 10/6.

Independent transformants derived from the strain CEN.PK m850 [LDH] were cultivated as previously described [52]. Briefly, growth kinetics were performed at 28°C in 250-mL quadruple baffled shake flasks in minimal medium containing 4.5 g/L CaCO3, 1.7 g/L YNB without amino acids and without (NH4)2SO4, 1 g/L urea, 5 g/L ethanol, and with glucose 9% (w/v) as a carbon source. Cell growth was monitored by measuring the optical density at 660 nm at regular time intervals.

Gene amplification and plasmids construction

The S. cerevisiae HXT 1 [47] and HXT 7 [31] genes were PCR amplified using as a template the genomic DNA extracted from GRF18U strain by standard methods [54]. Pwo DNA polymerase (Roche catalogue no. 11 644 955 001) was used on a GeneAmp PCR System 9700 (PE Applied Biosystem, Inc.). Standard conditions used were 0.2 mM primers, 1.5 U of Pwo and 3 μL of genomic DNA. The program used for amplification of genes was as follows: after 5 min at 94°C, 30 cycles (each cycle consisting of 15 s at 94°C, 30 s at 57.5°C and 1 min 30 s at 72°C) were carried out, followed by 7 min at 72°C. Oligonucleotides pairs for HXT 1 were as follows: HXT1_fw (5'-AAA ATC ATG AAT TCA ACT CCC GAT CTA-3') and HXT1_rev (5'-AGC TTG TTT AGT TTA TTT CCT GCTG AAA-3'). Because of the high sequence homology between the coding sequence of the S. cerevisiae HXT 6 and HXT 7 genes [47], the latter was amplified in two steps. In the first step the oligos named 5'HXT7 (5'-A AAA ATG TCA CAA GAC GCT GCT ATT GCA-3') and 3'HXT7exit (5'-ATA TAT TAA AAA CGT ATT TAC TTT TCA AGT-3') were used, the second designed on an external region in respect to the gene that resulted different from the corresponding region of the HXT 6 gene. The single amplified band was secondarily used as a template for the two oligos 5'HXT7 and 3'HXT7 (5'-AGT GTC GAC AAA TAA TTT GGT GCT GAA CAT-3'), obtaining the sole open reading frame of the desired gene.

The amplified fragments were sub-cloned into the Escherichia coli vector pSTBlue obtaining, respectively, the plasmids pSTBlueHXT1 and pSTBlueHXT7. The inserts were sequenced and resulted identical to the deposited S. cerevisiae corresponding sequences (HXT 1, GeneID: 856494 and HXT 7, GeneID: 851943). These coding sequences were used for the construction of the integrative expression plasmids p022HXT1 and p022HXT7, respectively, utilizing the basic S. cerevisiae integrative expression plasmid pYX022 (R&D Systems, Inc., Wiesbaden, D). For the construction of the plasmid p022HXT1, the recipient vector was Eco RI cut, blunted and dephosphorylated, while the insert was Mlu I blunt/Pml I excised from the pSTBlueHXT1 plasmid. For the construction of the plasmid p022HXT7, the recipient and the pSTBlueHXT7 vectors were Eco RI cut. For the construction of the plasmid named p212LDH, the coding sequence of L. plantarum LDH was Eco RI excised from previously described pSTplLDH [49] and sub-cloned into the S. cerevisiae expression vector pYX212 (multicopy, URA 3 auxotrophic marker R&D Systems, Inc., Wiesbaden, D) Eco RI opened and dephosphorylated. For the construction of the integrative plasmid p022KMX4, harboring an auxotrophic marker used only as a target gene and a dominant marker used for the selection of the transformants, the backbone of the plasmid pYX022 was used. pYX022 was Kpn I cut, blunt-ended and dephosphorylated and ligated with the KanR cassette derived from Sph I/Sac I blunt ending, from the plasmid pFA6KanMX4 [55]. p022KMX4 was Eco RI cut and dephosphorylated or Eco RI cut, blunt-ended and dephosphorylated and ligated with the HXT 1 or HXT7 sequences cut as described above, resulting in the plasmids p022KMX4HXT1 or p022KMX4HXT7, respectively. A complete list of the transformed strains is given in Table 1.

DNA manipulation, transformation and cultivation of E. coli (Novablue, Novagen) were performed following standard protocols [54]. All the restriction and modification enzymes utilised are from NEB (New England Biolabs, UK) or from Roche Diagnostics.

Metabolite determination

Residual glucose and ethanol/lactic acid produced were determined with enzymatic kits from Megazyme, the glucose assay kit (K-GLUHKR), the Ethanol kit (K-ETOH) and L-lactic acid kit (K-LATE), respectively, according to the manufacturer's instructions.

Declarations

Acknowledgements

This work was partially supported by FAR 2008 12-1-5140000-27. The authors are indebted to Eckard Boles for providing the strain RE700 and to Luca De Gioia and Luca Brambilla for critical discussions.

Authors’ Affiliations

(1)
Department of Biotechnology and Bioscience, Università degli Studi di Milano-Bicocca
(2)
School of Bioengineering, FH Campus Wien, University of Applied Sciences
(3)
Department of Biotechnology, BOKU, University of Natural Resources and Applied Life Sciences

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