Abstract
Background
Saccharomyces cerevisiae is an important microorganism in ethanol synthesis, and with sugarcane molasses as the feedstock, ethanol is being synthesized sustainably to meet growing demands. However, high-concentration ethanol fermentation based on high-concentration sugarcane molasses—which is needed for reduced energy consumption of ethanol distillation at industrial scale—is yet to be achieved.
Results
In the present study, to identify the main limiting factors of this process, adaptive laboratory evolution and high-throughput screening (Py-Fe3+) based on ARTP (atmospheric and room-temperature plasma) mutagenesis were applied. We identified high osmotic pressure, high temperature, high alcohol levels, and high concentrations of K+, Ca2+, K+ and Ca2+ (K+&Ca2+), and sugarcane molasses as the main limiting factors. The robust S. cerevisiae strains of NGT-F1, NGW-F1, NGC-F1, NGK+, NGCa2+ NGK+&Ca2+-F1, and NGTM-F1 exhibited high tolerance to the respective limiting factor and exhibited increased yield. Subsequently, ethanol synthesis, cell morphology, comparative genomics, and gene ontology (GO) enrichment analysis were performed in a molasses broth containing 250 g/L total fermentable sugars (TFS). Additionally, S. cerevisiae NGTM-F1 was used with 250 g/L (TFS) sugarcane molasses to synthesize ethanol in a 5-L fermenter, giving a yield of 111.65 g/L, the conversion of sugar to alcohol reached 95.53%. It is the highest level of physical mutagenesis yield at present.
Conclusion
Our results showed that K+ and Ca2+ ions primarily limited the efficient production of ethanol. Then, subsequent comparative transcriptomic GO and pathway analyses showed that the co-presence of K+ and Ca2+ exerted the most prominent limitation on efficient ethanol production. The results of this study might prove useful by promoting the development and utilization of green fuel bio-manufactured from molasses.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12934-024-02401-5.
Keywords: Saccharomyces cerevisiae, Sugarcane molasses, Ethanol synthesis, Omics analysis
Background
Energy shortage and food security are of great concern globally, and although fossil fuels offer huge short-term benefits, their long-term pollution will affect future generations. Therefore, developing green and sustainable biofuels that can viably replace fossil fuels is warranted. Recently, bioethanol has attracted much attention because it can achieve green biosynthesis. Apart from being a fuel with high octane number that can be mixed with existing energy substances, in this era of constant threats to human health, ethanol is also used widely as a medicine and food additive [1, 2]. Bioethanol is synthesized primarily via fermentation by Saccharomyces cerevisiae using various substrates such as glucose, sucrose, and starch. However, constant international turbulence means that food security also warrants attention, so synthesizing non-food bioethanol has become a key research direction.
Sugarcane molasses is a by-product of the sugar industry (three tons of sugar produce approximately one ton of molasses), containing 30–60% (w/v) sugar, colloids, and many metal ions [3–5]. Generally, molasses requires pretreatment before being exposed to S. cerevisiae. However, according to Abbott’s “alert level” theory [6], several other factors in molasses can restrict the growth and vitality of yeast cells, such as ethanol feedback inhibition, temperature, high osmotic pressure, and ion effects (Fig. 1). Different methods of fermentation [7, 8] and immobilization [9, 10] have been studied to overcome this issue, but the inherent genetic limitations of S. cerevisiae cells mean that it is still challenging to use high-concentration sugarcane molasses for ethanol fermentation. To that end, previous studies have explored and attempted to overcome various limiting factors (such as high osmotic pressure [11], high temperature [12–14], ethanol feedback inhibition [15], different ions [3], etc.) effectively ameliorate the restriction on S. cerevisiae growth and achieve ethanol fermentation from high-concentration sugarcane molasses [16, 17]. However, current research is in the bottleneck exploration stage, and research on the primary limiting factors is still either speculative or in the traditional stage [18]. Some of these factors do not apply to fermentation with sugarcane molasses as the substrate. For instance, there is a marked difference in ethanol yield after fermentation with sugarcane molasses or sucrose of the same total sugar concentration as the substrate, and this implies that ethanol feedback inhibition is not the main factor limiting ethanol synthesis from molasses fermentation [19, 20]. Similarly, the osmotic pressure formed by high sucrose concentration does not have a critical effect on S. cerevisiae. Previous studies have also proved that the stress factors in the culture of S. cerevisiae with low concentration of sugarcane molasses will still affect cell growth (data not shown), which is not conducive to biosynthesis based on sugarcane molasses as substrate. Therefore, identifying why S. cerevisiae struggles to use high-concentration molasses for high-concentration ethanol fermentation is crucial for future research.
Mutagenesis is an important means of tolerance engineering and is a highly promising technique for improving ethanol production of S. cerevisiae, especially under high-gravity fermentation conditions [21, 22]. In the study reported herein, we applied ARTP (atmospheric and room-temperature plasma) mutagenesis, ALE (adaptive laboratory evolution), and high-throughput screening (Py-Fe3+) [2] to obtain strains with robust performance against high sugar concentration (400 g/L total fermentable sugars (TFS)), high temperature (37℃), high alcohol level (10%(v/v)), and of 16 g/L K+, 8 g/L Ca2+, 16 g/L&8 g/L K+&Ca2+, and high sugarcane molasses (300 g/L TFS), and then ethanol production was performed in molasses broth containing 250 g/L TFS, and omics were studied. Herein, to the best of our knowledge and based on experimental verification, the major restricting factors of S. cerevisiae for high-concentration ethanol fermentation from sugarcane molasses are reported for the first time.
Results
Tolerance engineering improves ethanol production of S. Cerevisiae
It has been reported many times that bio-fuel synthesis can increase yields by increasing strain tolerance to factors that affect product synthesis [23–26]. Notably, the growth and vitality of S. cerevisiae cells are markedly restricted after exposure to high-concentration sugarcane molasses (Supplementary Fig. 1). when S. cerevisiae was cultured in molasses broth containing 250 g/L TFS for 24 h, a large proportion of yeast cells died, while the remaining cells were in a withered, thin, and adhesion state. The potential causal factors include high temperature; high ethanol levels; high sugar levels; and high concentrations of K+ and Ca+, the two most abundant ions (16 g/L and 8 g/L, respectively) in molasses. Therefore, to get more viable yeast cells for ethanol production, it is vital to improve the tolerance of yeast cells to the different restricting factors and obtain corresponding robust strains. Thus, S. cerevisiae GJ08 was subjected to ARTP mutagenesis and ALE under varying circumstances. Previously described [2] high-throughput approaches of triphenyl‑2 H‑tetrazoliumchloride (TTC)‑based macroscopic observation and the reaction of ferric nitrate with pyruvate (or pyruvate radical ion) in fermentation broth (Py-Fe3+) were used to screen the target strains (Table 1).
Table 1.
Strain | characteristic | Production (g/L) | Ratio* (%) |
---|---|---|---|
S. cerevisiae NGT-F1 | tolerance to 400 g/L TFS | 142.02 ± 5.52 | 25.81 |
S. cerevisiae NGW-F1 | tolerance to 37℃ | 119.97 ± 7.15 | 48.4 |
S. cerevisiae NGC-F1 | tolerance to 10%(v/v) ethanol | 119.83 ± 4.31 | 10.71 |
S. cerevisiae NGK+-F1 | tolerance to 16 g/L K+ | 92.27 ± 3.01 | 11.25 |
S. cerevisiae NGCa2+-F1 | tolerance to 8 g/L Ca2+ | 92.41 ± 2.00 | 15.07 |
S. cerevisiae NGK+&Ca2+-F1 | tolerance to 16 g/L K+ and 8 g/L Ca2+ | 85.13 ± 4.21 | 11.16 |
S. cerevisiae NGTM-F1 | tolerance to 300 g/L (TFS) sugarcane molasses | 102.30 ± 6.80 | 12.49 |
*Under the same fermentation conditions, compared with wild strain GJ08
High sugar concentration can cause increased osmotic pressure, affecting cell growth and ethanol production [27]. S. cerevisiae NGT-F1, tolerant to 400 g/L total sugar, was screened. This strain produced the highest level of ethanol (142.02 g/L) under 325 g/L TFS, which was 28.81% higher than the yield obtained from the original strain under similar conditions (Supplementary Figs. 2–7). S. cerevisiae NGT-F1 continues to be used for mutagenesis and screening of high-temperature tolerant strains.
Stress due to high temperature affects protein structures and function and gives rise to growth inhibition or cell death [28]. Ethanol synthesis by S. cerevisiae is carried out at 30 °C, during which cellular metabolism generates heat, as does the mechanical stirring of the fermentation equipment. Therefore, the actual temperature of industrial fermentation will be unstable (may float 3–5 degrees), which will affect the production of yeast cells. So, S. cerevisiae NGW-F1, tolerant to 37 °C, was screened. This strain produced the highest level of ethanol (119.97 g/L) under 400 g/L TFS, which was 48.4% higher than the yield obtained from the original strain under similar conditions (Supplementary Figs. 8–12).
Stress due to high ethanol concentration affects cellular wall permeability, disrupting sorting and signaling functions [29]. S. cerevisiae NGC-F1, tolerant to 10% (v/v) ethanol, was screened. This strain produced the highest level of ethanol (119.83 g/L) under 250 g/L TFS, which was 10.71% higher than the yield obtained from the original strain under similar conditions (Supplementary Figs. 13–17).
K+ and Ca2+ are the largest components among the many ions in molasses. Another strain S. cerevisiae NGK+&Ca2+-F1, tolerant to 16 g/L K+ and 8 g/L Ca2+, was screened. This strain produced the highest level of ethanol (85.13 g/L) under 200 g/L TFS, which was 11.16% higher than the yield obtained from the original strain under similar conditions (Supplementary Figs. 30–35).
Finally, S. cerevisiae NGTM-F1, tolerant to 300 g/L TFS of sugarcane molasses, was screened. This strain produced the highest level of ethanol (102.30 g/L) under 250 g/L TFS, which was 12.49% higher than the yield obtained from the original strain under similar conditions (Supplementary Figs. 36–41). As shown in Supplementary Fig. 7A and B, 12 A and B, 35 A and B, and 41 A and B, compared with the control strains, the tolerant strains exhibited greatly improved cell morphology and were rounded and non-sticky.
Stirred-tank fermenter fermentation for ethanol production
The robust S. cerevisiae NGTM-F1 strain completely broke the restriction from high-concentration sugarcane molasses, making it easy to reveal the major limiting factors of high-concentration ethanol fermentation from high-concentration sugarcane molasses. First, the dynamic of ethanol biosynthesis was analyzed (Fig. 2). Results show that under similar conditions (30 °C, 250 g/L TFS, 10% inoculum), compared with the GJ08 strain, S. cerevisiae NGTM-F1 exhibited higher ethanol synthesis capacity and shorter optimal duration of ethanol synthesis (less by 12 h). This finding might be attributed to improved tolerance and growth of the engineered strain.
Furthermore, a 5-L fermenter was used to demonstrate the ethanol synthesis performance of S. cerevisiae NGTM-F1. The amounts of inoculum and urea added into the fermenter were optimized (17.5% and 2.2 g/L, respectively; Supplementary Figs. 42 and 43). The microaeration strategy was used for the fermentation process. Though S. cerevisiae-mediated ethanol fermentation occurs in an anaerobic environment, oxygen is still required for yeast cell growth, and a limited amount of oxygen can lead to better ethanol production [30]. Previous studies have shown that micro-oxygenation is the most efficient fermentation approach (80 mL/min, details not shown). In the current study, at 60 h, the ethanol yield reached a maximum of 111.65 g/L (14.15%(v/v)). With a 21.34 g/L residual sugar and calculated with Eq. 1, a sugar conversion rate of 95.53%, and a production rate of 1.86 g/L/h were obtained (Fig. 3). Wu et al. (2020) enhanced ethanol production from sugarcane molasses by using the engineered S. cerevisiae strain (PHO4 gene replaced), which is a fast-growing strain, and achieved the highest production (114.71 g/L) at 56 h [31]. In the present study, physical mutagenesis (not gene editing) was used to achieve similar results. To date, 111.65 g/L ethanol a sugar conversion rate of 95.53%, and a production rate of 1.86 g/L/h (in this paper) is the highest yield obtained from high-concentration sugarcane molasses using an S. cerevisiae strain obtained from physical mutagenesis. Physical mutagenesis is superior to gene editing in building robust strains. Gene editing is mostly limited to the major known genes, and the number of genes that can be edited at the same time is limited. Physical mutagenesis cannot be limited by the type and number of genes, and the operation is simple. This strain is now stored at Guangdong Microbial Culture Collection Center (GDMCC 63,687).
Fermentation with tolerant strains using high-concentration sugarcane molasses
In this study, S. cerevisiae NGTM-F1 was found to counter the effects of high-concentration sugarcane molasses, and it can be used as a good reference to identify the main limiting factors in the fermentation of molasses. In theory, countering the primary limiting factors will improve the fermentation efficiency of high-concentration sugarcane molasses. Thus, S. cerevisiae NGT-F1, NGC-F1, NGW-F1, NGK+&Ca2+-F1, and NGTM-F1 were separately subjected to ethanol fermentation under the same conditions (sugarcane molasses containing 250 g/L TFS) (Fig. 4A). As shown in Fig. 4A, S. cerevisiae NGT-F1, NGC-F1, NGW-F1, and NGK+&Ca2+-F1 provided improved ethanol yields compared to that with the original strain S. cerevisiae GJ08. This indicates that improving the robustness of S. cerevisiae can promote the biosynthesis process using sugarcane molasses as a substrate. However, S. cerevisiae NGTM-F1 gave the highest ethanol yield of all the engineered strains, followed closely by only S. cerevisiae NGK+&Ca2+-F1. Moreover, the number of cells showed the same trend as ethanol production (Fig. 4B). Thus, the influence of ions on sugarcane molasses was shown to be more important.
Chotineeranat et al. (2010) reported that Ca2+ inhibited S. cerevisiae-mediated fermentation using molasses as a substrate because of the inhibitory effect of this ion on invertase, an enzyme that converts sucrose into invert sugars [3]. Tiligada et al. (2010) reported that the K+ channels open while the cell membrane is depolarized and involved in the transport of other compounds [32], and Merchan et al. (2011) reported that the accumulation of K+ renders yeast cells sensitive to DNA-damaging agents [33]. The composition of molasses is complex, and it is unknown whether the presence of potassium ions in large quantities will cause a chain reaction that damages cells. So, to assess the effects of K+ and Ca2+—either alone or together—on the fermentation of sugarcane molasses, S. cerevisiae NGK+-F1 and NGCa2+-F1 were constructed. We found that these strains gave a higher ethanol yield (Fig. 5A) and improved cell number (Fig. 5B) compared to the original strain. However, they did not reach the level of S. cerevisiae NGK+&Ca2+-F1. Moreover, the morphological maps of S. cerevisiae NGK+, NGCa2+, NGK+&Ca2+-F1, and NGTM-F1 cultured in 250 g/L molasses, were analyzed (Fig. 6A–D). As shown in Fig. 6, the cell morphology of S. cerevisiae NGK+&Ca2+-F1 and NGTM-F1 is similar, with larger cell size and fewer adherent cells. These results also indicate that the co-existence of K+ and Ca2+ in molasses is the key limiting factor for S. cerevisiae-mediated fermentation of high-concentration sugarcane molasses.
Whole genome resequencing
Phylogenetic modeling based on genomes has been widely used in the field of virus development because it can obtain more accurate similarity [34]. Similarly, this method can also be applied to the comparison of microbial differences. To this end, the genomes of S. cerevisiae NGK+-F1, NGCa2+-F1, NGK+&Ca2+-F1, and NGTM-F1 were re-sequenced and compared. The whole genome was re-sequenced using a 2 × 150 paired-end configuration. Supplementary Table 1 shows the genome coverage and the ratio of clean bases after aligning to the genome sequence of S. cerevisiae S288C. The mutant bases in the engineered strains are shown in Supplementary Table 2.
Next, we evaluated why the simultaneous presence of K+ and Ca2+ in sugarcane molasses inhibited the fermentation process more significantly than either ion alone, based on whole-genome resequencing. As shown in Supplementary Table 1, all coverages achieved more than 99%, but the number of mutations in S. cerevisiae NGK+-F1, NGCa2+-F1, and NGK+&Ca2+-F1 was not significantly different from that in S. cerevisiae NGTM-F1. Subsequently, the mutated genes (only the exon region) of the engineered strains were examined using gene ontology (GO) enrichment analysis (Fig. 7). GO enrichment analysis is mainly based on the selected differentially expressed genes using DAVID (https://david.ncifcrf.gov/) for gene ontology enrichment analysis, GO enrichment analysis mainly three Ontology to start, including molecular function, cellular components, and biological processes involved. Theoretically, the locus of mutation caused by the primary limiting factor should be significantly similar to that in S. cerevisiae NGTM-F1. As shown in Fig. 7A and B, the mutation region of S. cerevisiae NGK+&Ca2+-F1 was most similar to that of S. cerevisiae NGTM-F1, with the involved GO term regions (catalytic activity, binding, transcription regulator activity, metabolic process, cellular processes, and biological regulation) and the number of genes per region being close. However, the GO analysis results of other yeast strains were quite different (Supplementary Fig. 44).
Comparative transcriptomic analysis
Most phenotypic changes are accompanied by genotype changes. The transcription level changes induced by mutated genes can reflect the key mutations, and GO and Kyoto Encyclopedia of Genes and Genomes (KEGG) are better for comparing data differences between different groups. Therefore, S. cerevisiae NGK+-F1, NGCa2+-F1, NGK+&Ca2+-F1, and NGTM-F1 were analyzed via comparative transcriptomics against S. cerevisiae GJ08. To analyze the mutated genes more intuitively, GO analysis was used again. As shown in Fig. 8, the effects of the key limiting factors on S. cerevisiae cells were more biased to the cellular component. However, the overall bias distributions in S. cerevisiae NGTM-F1 and NGK+&Ca2+-F1were more similar than other robust strains (Supplementary Fig. 45). As shown in Fig. 8A and B, the plasma membrane was the most abundant cellular component, while the structural constituent of the cell wall was the primary component of the molecular function part. In addition, other parts such as amino acid transmembrane transporter activity, fungal-type vacuole, extracellular region, and amino acid transmembrane transport also accounted for a considerable proportion.
Next, KEGG was used to further analyze (Fig. 9) and compare the major regional genes (Supplement KEGG-gene). Furthermore, as shown in Table 2, the proportions of the affected genes of S. cerevisiae NGK+&Ca2+-F1 involved in the biosynthesis of secondary metabolites, biosynthesis of amino acids, carbon metabolism, glycolysis/gluconeogenesis, cysteine and methionine metabolism, and starch and sucrose metabolism were 91.3%, 100%, 87.5%, 100%, 100%, and 75%, respectively, which were identical to those of the affected genes of S. cerevisiae NGTM-F1. In particular, it should be noted that these overlapping genes showed a high degree of consistency in the process of transcriptional changes, that is, genes that were up-regulated in S. cerevisiae NGK+&Ca2+-F1 were also up-regulated in S. cerevisiae NGTM-F1. Genes that are down-regulated in S. cerevisiae NGK+&Ca2+-F1 are also down-regulated in S. cerevisiae NGTM-F1.
Table 2.
path-way Factor |
Biosynthesis of secondary metabolites | Biosynthesis of amino acids | Carbon metabolism | Glycolysis / Gluconeogenesis | Cysteine and methionine metabolism | Starch and sucrose metabolism | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
N | O | N | O | N | O | N | O | N | O | N | O | |
Cane molasses | 160 | 21 | 58 | 9 | 67 | 7 | 37 | 5 | 21 | 4 | 21 | 3 |
K+&Ca2+ | 23 | 9 | 8 | 5 | 4 | 4 |
N: The number of mutated genes whose transcription levels have changed
O: The number of identical genes was compared between the mutated genes with changes in pathway transcription level caused by K+&Ca2+ and those with changes in pathway transcription level sent by sugarcane molasses
*The data contain both increases and decreases in transcripts (the transcriptional level changes of genes were the same), and the screening criteria for significant enrichment was Q value < = 0.05
Sugarcane molasses is a mixture that comprises several limiting factors, but the finding of K+ and Ca2+ being the key limiting factors is a major breakthrough in the ethanol fermentation of high-concentration sugarcane molasses. This finding is of great significance for the development and utilization of green biomanufacturing with molasses as a substrate.
Conclusions
In summary, we developed S. cerevisiae tolerant to high temperature, high osmotic pressure, high alcohol levels, and high concentrations of K+, Ca2+, K+&Ca2+, and sugarcane molasses, i.e., S. cerevisiae NGT-F1, NGC-F1, NGW-F1, NGK+-F1, NGCa2+-F1, NGK+&Ca2+-F1, and NGTM-F1, respectively. Our results showed that the co-existence of K+ and Ca2+ was the main limiting factor of S. cerevisiae-mediated ethanol fermentation of high-concentration sugarcane molasses. With 250 g/L (TFS) of sugarcane molasses, S. cerevisiae NGTM-F1 gave an ethanol yield, sugar conversion rate, and production rate of 111.65 g/L, 95.53%, and 1.86 g/L/h, respectively. These values were the highest reported by any study on S. cerevisiae subjected to physical mutation. Of course, after solving the problem of the main limiting factor of molasses, S. cerevisiae may be able to biosynthesize at higher molasses concentrations. Future studies must focus on using omics analysis to elucidate the mechanisms underlying simultaneous K+ and Ca2+ stress on S. cerevisiae-mediated ethanol fermentation. The results of this study have important guiding significance for not only the synthesis of ethanol by S. cerevisiae using molasses but also the subsequent synthesis of other substances using molasses as a substrate.
Materials and methods
Strains
The S. cerevisiae strains used in this study are list in Table 3.
Table 3.
Strain | Description | Source |
---|---|---|
S. cerevisiae S288C | MATα; SUC2; gal2; mal2; mel; flo1; flo8-1; hap1; bio1; bio6 | ATCC 204,508 |
S. cerevisiae GJ08 | Mutant strain, derived from S. cerevisiae S288C | This study |
S. cerevisiae NGT-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 400 g/L total fermentable sugars (TFS) | [2] |
S. cerevisiae NGC-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 10% (v/v) ethanol | This study |
S. cerevisiae NGW-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 37℃ | This study |
S. cerevisiae NGK+-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 16 g/L K+ | This study |
S. cerevisiae NGCa2+-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 8 g/L Ca2+ | This study |
S. cerevisiae NGK+&Ca2+-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 16 g/L K+ and 8 g/L Ca2+ | This study |
S. cerevisiae NGTM-F1 | The ALE strain from S. cerevisiae GJ08, tolerance to 300 g/L (TFS) sugarcane molasses | This study, stored at Guangdong Microbial Culture Collection Center (GDMCC 63,687) |
Pretreatment of sugarcane molasses
Cane molasses was obtained from the Guangxi Sugar Industry Group (Guangxi, China), containing 12% (w/w) converted sugars (fructose and glucose), 35% (w/w) sucrose, 2.5% (w/w) other carbohydrates, 9.6% (w/w) ash, 4.3% (w/w) crude protein, 0.06% (w/w) crude fat, and various ions (K+ at 16 g/L, Ca2+ at 8 g/L, Mg2+ at 2.7 g/L, Fe3+ at 0.35 g/L, Mn2+ at 0.03 g/L, P3+ at 0.03 g/L, and other ions in smaller quantities). The molasses pretreatment process was as follows. The molasses was diluted with distilled water (1:1) and then boiled for 30 min while being stirred constantly. After cooling to room temperature, the pH of the mixture was adjusted to 1–2 with concentrated sulfuric acid. After being left overnight, 1% activated carbon powder was added to the molasses treatment solution at 90 °C for 30 min. After cooling to room temperature again, the supernatant was centrifuged at 4000 rpm for 10 min, and its pH was adjusted to 4.5–5.0 with calcium hydroxide. The supernatant was then centrifuged again at 4000 rpm for 10 min and then collected for testing.
ARTP-based random mutagenesis and adoptive evolution
A 5-mL cell broth cultured with YPD medium (yeast extract 10 g/L, peptone 20 g/L, dextrose 20 g/L) for ca. 12 h was harvested by centrifugation and washed twice with ice-cold water. Then, ARTP mutagenesis was carried out using an ARTP mutation system (ARTP-C2-5; Tmaxtree Biotechnology Co., Ltd., Wuxi, China) as described by Niu et al. [35]. The parameters were set as follows: the radio-frequency power input was 100 W, the flow of helium was 10 SLM, the distance between the plasma torch nozzle exit and the slide was 2 mm, and the treatment time was selected as being 200, 180, 160, 140, 120, 100, or 80 (s). After treatment, the slides were washed with ice-cold water to generate the ARTP mutant library, and the mutant strains were transferred separately to the following different environments: (i) YPD medium with 286 g/L sucrose (ca. 300 g/L total sugar); (ii) YPD medium with 10% (v/v) ethanol; (iii) YPD medium with 8 g/L KCl; (iv) YPD medium with 4 g/L CaCl2; (v) YPD medium with 8 g/L KCl and 4 g/L CaCl2; (vi) YPD medium at 35 °C; (vii) 250 g/L TFS sugarcane molasses. Every 24 h, the number of cells was counted using a blood counting plate until the number stabilized, then ARTP mutagenesis was performed again, and the passage was gradually increased to higher gradient.
TTC and Py-Fe3+-based screening
The library of ARTP-mutagenesis mutations of S. cerevisiae that could tolerate the specific environments was diluted and then coated on a YPD solid medium. According to our previous research results, the yeast with active cell growth has a stronger ethanol metabolism capacity, and its ethanol production is inversely proportional to the content of the precursor pyruvate. Therefore, TTC (triphenyl-2 H-tetrazoliumchloride) and Py-Fe3+-based screening was carried as described in previous work [2]. So, after 24 h of cultivation, 20 mL of TTC solution was introduced to react for 5 min, and the yeast strains with the earliest red and darkest color were selected. Next, single S. cerevisiae colonies on the slant plates were transferred to 48-deep-well microtiter plates (DWMPs) containing 1 mL of corresponding environmental liquid medium for incubation (described in Sect. 2.3). After fermentation, the DWMPs were left to rest for 30 min to allow the S. cerevisiae strains to settle automatically. Then 120 µL of the fermentation supernatant (five times dilution with ultrapure water) was transferred to a 96-well enzyme label plate, and 80 µL of 0.1 M Fe(NO3)3 was added for reaction at room temperature for 10 min. Then the absorbance was measured at 520 nm. Finally, several strains with low A520 values were selected for subsequent shake-flask fermentation and re-screening.
Shake-flash fermentation
Single colonies of the respective mutant yeast strains were picked into 50 ml YPD medium for overnight incubation. The seed solution was then transferred to 250 ml triangular flasks containing 100 ml of the corresponding environment-specific medium at 10% inoculum and wrapped in breathable film and kraft paper to prevent ethanol volatilization.
Fermentation in a stirred tank
The seed cultures were prepared by inoculating a single colony in a 250 mL Erlenmeyer flask containing 50 mL of YPD medium and then incubating for 12–14 h at 30 °C. The culture solution was collected by centrifugation, then sterile water was added to prepare 10-fold concentrated seed solution, and inoculated into 50 mL YPD medium (yeast extract 10 g/L, peptone 20 g/L, dextrose 50 g/L) at 10% inoculum for secondary seed culture for 8–10 h. Finally, it was inoculated at 17.5% into a 5-L fermenter containing 250 g/L TFS, urea 2.2 g/L, peptone 1 g/L medium. The fermenter conditions were 30 °C, 150 rpm, oxygenated (at 80 mL/min) and samples were taken at 0, 12, 24, 36, 42, 48, 54, 60, 66, and 72 h. The sugar alcohol conversion rate is given by eq:
1 |
Where y is the sugar alcohol conversion, x is the ethanol production, TFS is the total fermentable sugars, RS is the residual fermentable sugar.
Whole genome resequencing
Genomic library construction and whole-genome resequencing were performed on the Illumina HiSeq/Nova 2 × 150 bp platform by Azenta (Suzhou, China). The paired-end reads were aligned to the reference genome of S. cerevisiae S288C. Potential mutations including point mutation and insertion/deletion were identified. To reduce the nuisance of unwanted genes, ClusterProfiler [36] was used to set p-values (p < 0.05), the Benjamini–Hochberg procedure [37] was used to perform multiple test correction, and the Q value was obtained (Q < 0.2).
Transcriptome analysis
The total RNA of S. cerevisiae was collected and extracted from shaking-flask culture to the fastest growth stage (logarithmic phase). Different S. cerevisiae mutants were cultured under conditions that they could tolerate, and S. cerevisiae GJ08 as a control was also cultured under these conditions separately for the same time. Cells were collected by centrifuge and washed three times with 0.01 M PBS buffer solution, then 2–3 mL of Trizol cracking solution was added into the centrifuge tube and blown evenly with a pipette gun. After cracking for 2–3 min, the yeast were immediately frozen in liquid nitrogen and stored in a refrigerator at − 80 °C. Transcriptome sequencing was performed on the Illumina/MGI platform by Azenta (Suzhou, China). The quality of the sequencing data was evaluated by FastQC (v0.10.1), and the error rate of sequencing was less than 0.5% for each base position.
Assay
The number of cells was counted using a hemocytometer, and ethanol production was analyzed by GC-FID (Techcomp Scion 456-GC, Heolland). The inlet temperature was set to 200 °C, with the flow at 1 mL/min and the oven at 40 °C for 0 s, 40–80 °C for 5 min, and 80–150 °C for 10 min. The sugar content in the fermentation medium was determined by HPLC (RiLi, L2000), and the HPLC system consisted of an automatic injector equipped with an Alltima 5 μm amino column (250 × 4.6 mm). The mobile phase was 75% acetonitrile with a flow at 1 mL/min, and differential refraction detectors were used at 35 °C.
Statistical analysis
All experiments were conducted in triplicate (Except fermentation in fermenters), and the data were averaged and presented in the form of mean value plus or minus standard deviation. One-way analysis of variance followed by Tukey’s test was used to determine significant differences using the OriginPro (version 9.1) package. Statistical significance was defined as p < 0.05.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Acknowledgements
Not applicable.
Abbreviations
- ARTP
Atmospheric and Room-Temperature Plasma
- ALE
Adaptive Laboratory Evolution
- K+&Ca2+
K+ and Ca2+
- GO
Gene Ontology
- TFS
Total Fermentable Sugars
- TTC
Triphenyl‑2 h‑Tetrazoliumchloride
- DWMPs
Deep-Well Microtiter Plates
- KEGG
Kyoto Encyclopedia of Genes and Genomes
Author contributions
W-YW performed all of the experimental works. B-PW, H-SS and M-MW performed the ethanol assay. Y-TW and F-XN designed the study and wrote the manuscript. All the authors read and approved the final manuscript。.
Funding
This work was funded by the central government guides the special fund for local science and technology development (No. ZY22096007), the Guangxi Science and Technology Program (No. AD22080011), the National Natural Science Foundation of China (Grant No. 32260246), the Director Project of Guangxi Key Laboratory of Green Processing of Sugar Resources (GXTZYZR202201, GXTZYZR202203), and the doctoral fund of Guangxi university of science and technology (No. 21Z50).
Data availability
No datasets were generated or analysed during the current study.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
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Data Availability Statement
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