Protein acetylation regulates xylose metabolism during adaptation of Saccharomyces cerevisiae
Biotechnology for Biofuels volume 14, Article number: 241 (2021)
As the second most abundant polysaccharide in nature, hemicellulose can be degraded to xylose as the feedstock for bioconversion to fuels and chemicals. To enhance xylose conversion, the engineered Saccharomyces cerevisiae with xylose metabolic pathway is usually adapted with xylose as the carbon source in the laboratory. However, the mechanism under the adaptation phenomena of the engineered strain is still unclear.
In this study, xylose-utilizing S. cerevisiae was constructed and used for the adaptation study. It was found that xylose consumption rate increased 1.24-fold in the second incubation of the yYST12 strain in synthetic complete-xylose medium compared with the first incubation. The study figured out that it was observed at the single-cell level that the stagnation time for xylose utilization was reduced after adaptation with xylose medium in the microfluidic device. Such transient memory of xylose metabolism after adaptation with xylose medium, named “xylose consumption memory”, was observed in the strains with both xylose isomerase pathway and xylose reductase and xylitol dehydrogenase pathways. In further, the proteomic acetylation of the strains before and after adaptation was investigated, and it was revealed that H4K5 was one of the most differential acetylation sites related to xylose consumption memory of engineered S. cerevisiae. We tested 8 genes encoding acetylase or deacetylase, and it was found that the knockout of the GCN5 and HPA2 encoding acetylases enhanced the xylose consumption memory.
The behavior of xylose consumption memory in engineered S. cerevisiae can be successfully induced with xylose in the adaptation. H4K5Ac and two genes of GCN5 and HPA2 are related to xylose consumption memory of engineered S. cerevisiae during adaptation. This study provides valuable insights into the xylose adaptation of engineered S. cerevisiae.
Lignocellulosic biomass, such as energy crops, aquatic plants, forest biomass, and agricultural residues, is one of the most important renewable sources. Biofuels from lignocellulosic biomass has been considered as a good alternative to petroleum fuels due to the reduction of CO2 emission [1, 2]. The second generation bioethanol had been developed using lignocellulosic biomass to supply liquid fuel for vehicles [3,4,5]. Production of lignocellulosic bioethanol is mainly dependent on consists of lignocellulosic biomass [6,7,8]. Glucose and xylose are the major components in lignocellulosic hydrolysates produced from pretreatment and enzymatic hydrolysis. Glucose is a preferred substrate for ethanol production by S. cerevisiae, but xylose generally cannot be effectively converted to ethanol . S. cerevisiae has engineering with xylose pathway to convert xylose to bioethanol [10, 11], and various strategies and genetic modifications have been developed to improve the xylose utilization of S. cerevisiae [12, 13]. The adaptation with xylose medium is still the most efficient approach to improve xylose utilization, but the mechanism of the adaptation is still unclear [14, 15].
In general, the microbial cells can store the information about current environment when encountering environmental changes. The stored information enables the strain to respond faster when returning to the original environment again [16, 17]. In the studies of galactose memory, the memory-induced the expression of GAL genes (GAL1, GAL2, GAL7, and GAL10) in S. cerevisiae could be activated much faster within 7 generations of the cell division after the strain was cultured on galactose medium once [18,19,20]. The expression levels of the galactose metabolic genes in S. cerevisiae changed along with the changes of the concentrations of glucose and galactose . Heterokaryons formed by mating galactose-induced and un-induced S. cerevisiae also exhibited the cellular memory phenotype when the un-induced heterokaryons were placed in the galactose-induced cell cytoplasm, which revealed that the cytoplasmic in the galactose-induced cells contains some molecules that can induce the galactose memory . Since microbes can store the memory in the form of molecular interactions, this phenomenon generally called transient memory .
Epigenetic regulation plays a critical role in facilitating the adaptation of microorganisms to fit the new environment . There is close link between epigenetic and microbial memory. After a period of adaptation in the medium lacking inositol, the new generations of cells grow well on the medium lack of inositol . It was found that the adaptation was related to maintaining the expression of INO1 gene. The expression of the INO1 gene is regulated by multiple factors, including the transcription factor SFL1, H2A.Z, and the methylation of histone H3 [24, 25]. During the adaption to the new environment, microbes may enter a protective state and exhibit stagnant or slow growth to regulate the gene expression . Epigenetic modification could cause the regulation of gene expression to generate transient memory of the metabolic network [27,28,29]. Such transient memory should be very important for microbe adaptation. However, the mechanism under the transient memory is still unclear for xylose adaption of S. cerevisiae.
The present study aims to reveal the mechanism of transient memory of S. cerevisiae induced during adaptation. We first designed and constructed the xylose-utilizing S. cerevisiae with different xylose metabolic pathway. By switching culture between synthetic complete-glucose medium (SG) and synthetic complete-xylose medium (SX), we revealed the generation and erasure of the transient memory of xylose metabolism. Protein acetylation analysis indicated that acetylation of histone was involved in the process, and we figured out the key acetylation sites of histone and the key genes.
The “xylose consumption memory” behavior of xylose-utilizing S. cerevisiae
The metabolic pathway with xylose reductase and xylitol dehydrogenase was engineered in yYST10 and yYST12, and SQ-2 with the same pathway is a gift from Professor Li-min Cao group at Capital Normal University (Fig. 1A, Table 1). To reveal the transient memory of xylose metabolism, we designed a transfer culture experiment for the engineered S. cerevisiae with xylose metabolic pathway. We determined the xylose consumption of the engineered S. cerevisiae during the first and the second incubations (Fig. 1B). The xylose consumption rate by the yYST12 strain was 0.108 g/L/h in the first incubation in SX medium, while the xylose consumption rate reached to 0.243 g/L/h in the second incubation in SX medium. Similar with yYST12, all these strains were able to consume xylose faster in second incubation in SX medium than that in the first one. We can use the xylose memory value as a metric to evaluate “xylose consumption memory (XCM)” of the engineered S. cerevisiae during the rapid adaptation. The xylose memory value of the yYST12 strain was 1.24, while it was 1.48 and 1.63 for the SQ-2 strain and the yYST10 strain, respectively. A larger memory value indicates high XCM of the strain in the rapid adaptation. All the xylose-utilizing S. cerevisiae used here exhibited the behavior of XCM during the rapid adaptation, but the XCM of these strains is different.
Microfluidic culture observed the “xylose consumption memory” of S. cerevisiae
We developed a microfluidic device with an array of single-cell traps for reliable immobilization of single yeast cells and long-term cell culturing under precisely controlled medium perfusion. The device also features rapid medium switching and microscopic monitoring of the in-situ XCM behavior at single cell level  (Fig. 2A). Initially, the strains of SQ-2, yYST10 and yYST12 were injected and cultivated in the microfluidic device for a test. However, the SQ-2 strain was unable to flow through the microfluidic device smoothly due to the larger cell size, while the yYST12 strain was unable to be dispersed into single cells due to the self-aggregation. Hence, we constructed another two strains (the yYST24, yYST31) with xylose isomerase pathway. Together with the strain of yYST10, the three strains were then cultured in the microfluidic device for the XCM study, respectively (Fig. 2B).
When the medium was first switched from SG medium to SX medium, the three strains immediately entered a delayed period, which exhibited slow growth state in budding. The duration of the delayed period varied from 2.5 h (h) to 5 h among all three strains. After the delayed period, the cells entered a recovery phase and gradually returned to the normal growth and division. After that, when the medium was switched back to SG medium, the strains rapidly recovered to the normal growth rate. And then, when the medium was switched to SX medium again, the second SX medium culture did not result in another severely delayed period in terms of the growth rate of all three strains. The duration of the delayed periods was much shorter than that in the first SX medium culture (Fig. 2C). Therefore, the microfluidic experiment further confirmed the XCM behaviors of the xylose-utilizing S. cerevisiae at single-cell level. These results indicated that the rapid adaptation of xylose metabolism for the engineered S. cerevisiae exactly existed under the switching of the media.
Xylose induced histone acetylation
Epigenetic regulation changes to resisting the environmental stress in plants, and these changes could be inherited for several generations . Histone acetylation is an important epigenetic modification. To analyze the potential epigenetic modification of S. cerevisiae, the culture strategy was further designed (Fig. 3A). We used yYST12 strain as an example for histone acylation analysis due to the significant XCM during the rapid adaptation. The samples for protein acylation analysis were collected at three points: no XCM was produced; XCM was produced; XCM was disappeared. In the protein acetylation analysis, 871 lysine acetylation sites in 420 protein groups were identified, among which 841 lysine acetylation sites in 403 proteins were quantified. The fold-change cutoff was set as more than 1.2 or less than 0.83 according to the quantitative ratios. Among these quantified sites, the acylation at 41 lysine sites was up-regulated, while 47 lysine sites down-regulated in D9X6 vs. D9. In addition, the acylation at 3 sites was up-regulated, while 36 sites down-regulated in D9X6D9 vs. D9. The acylation at 23 lysine sites was up-regulated, while 51 sites down-regulated in D9X6D9 vs. D9X6 (Fig. 3B).
A partial least squares deep regression method was employed to analyze the data of the protein acetylation. Significant acetylation sites were identified using the partial least squares depth regression algorithm. After removing the acetylation sites with missing values, 324 acetylation sites (variables) remained in the acetylation group. Combined with the variables importance on projection (VIP) analysis, all variables were arranged in descending order of importance (Additional file 3). The greater the VIP rating, the more important the acetylation site was to the XCM. In the comparison of D9X6 vs. D9, it was found that the VIP values of the acetylation sites of histones H4 lysine 5 (H4K5), histones H4 lysine 8 (H4K8), histones H3 lysine 27 (H3K27), and histones H4 lysine 16 (H4K16) were 1.3136, 1.3135, 1.3122, and 1.3111, respectively, which were the top four VIPs. In the comparison of D9X6 vs. D9X6D9, the top 4 VIP values were at the acetylation sites of H4K5, H4K8, H3K27, and protein RPL37A lysine 51 (RPL37AK51), and they were 1.3529, 1.3527, 1.3514 and 1.3511, respectively. These results indicated that H4K5, H4K8 and H3K27 may play an important role in the generation of XCM (Fig. 3C).
H4K5 acetylation is related to the XCM
Several key protein acetylation sites have been identified in the yYST12 strain by proteomic analysis. It is necessary to further evaluate the specific correlations between these protein acetylation sites and the XCM behavior of the engineered S. cerevisiae. We mutated the lysine to arginine at the most significant acetylation site of histone, H4K5, and so the acetylation was not able to occur at H4K5. The erasure of XCM of yYST210 (H4K5R) strains was evaluated as designed in Fig. 4A. The XCM of the control strain yYST12 was erased step by step from 2 days (d) to 12 days after moved to SG medium, while the XCM of the yYST210 strain was stable until 8 days after moved to SG media (Fig. 4B, C). The XCM of the yYST210 strain was start to be erased from 8 to 12 days after moved to SG medium. These results indicated that the acylation of H4K5 is very important for XCM of the engineered S. cerevisiae. Forgetting values according to the xylose consumption rates were calculated to evaluate the XCM ability of the engineered S. cerevisiae, and the higher of the forgetting values represent faster rates of XCM erasure. The forgetting values of the YST210 and control strains yYST12 were 0.96 and 3.89 according to the xylose consumption performance at 8 days after moved to SG medium (Additional file 1: Fig. S1). The results indicated that the loss of H4K5 acylation significantly decreased the erasure rate of XCM of the engineered S. cerevisiae.
Effect of enzymes related to acetylation modification of histone on XCM
Aforementioned results indicated that the modification of histone acetylation site has the influence on the XCM of S. cerevisiae. However, the specific enzymes related to XCM were still unknown. We selected the representative acetylases (ELP3, GCN5, SAS3, and HPA2) and deacetylases (HDA1, HOS2, HST1, and RPD3) for further study . We constructed the strains with single gene deletion for the 8 enzymes, and the effects of the gene deletion on XCM were evaluated. The xylose consumption performance for each engineered strain was analyzed before and after the generation of XCM. The knockout of these genes reduced the xylose consumption rate in the engineered S. cerevisiae (Fig. 5B–I). The memory value of the control yYST12 strain was 1.16. After knocking out HOS2 gene, the memory value of the yYST246 strain (ΔHOS2) increased to 1.49. For the deletion of GCN5 or HPA2, the xylose consumption of the yYST250 strain (ΔGCN5) and the yYST251 strain (ΔHPA2) was significantly reduced compared with that of the control yYST12 strain. After 24 h incubation in SX medium, the xylose consumption of the ΔGCN5 and ΔHPA2 strains was significantly accelerated. The memory values of the ΔGCN5 and ΔHPA2 strains increased to 2.06 and 3.00, respectively, while knock-out of other acetylation-related genes had no significant effect on the memory value (Fig. 5J). All these results suggested the representative acetylases (GCN5, HPA2) were the key enzymes to enhance the XCM behavior of engineered S. cerevisiae compared with other acetylases and deacetylases selected in the present study.
Environmental variations are the critical challenges for microbes, and microbes usually regulates and adapt the gene expression to fit the variations. Therefore, the rapid adaptation is very important for microbes to overcome the environmental variations. If the variations occur repetitively, microbes could generate cellular memory for the gene expression to fit the environmental variations . The cellular memory could endow the microbes the rapid adaptation ability to fit the environmental variations, and could pass to offspring for several generations . Due to resisting the environmental variations, yeast could change the epigenetic states, such as the modification of chromosomes, and the chromatin structures beside the gene promoters [20, 35]. When the yeast strain was exposed to galactose, yeast generated the cellular memory of the active transcriptional state for GAL gene [20, 36]. Before the chromosome structure recovered back to the inactive state, the re-addition of galactose induced the expression of GAL gene much more rapidly [37, 38]. When microbes adapt the gene expression according to the environmental variation, microbial growth and metabolism usually slows down until the fitness is achieved for the new environment. As we observed in this study, the division time of engineered yeast was much longer when they were moved to xylose for the first time. Similar performance was also observed for E. coli. When E. coli was moved to galactose for the first time, the growth decreased. The cellular memory enabled E. coli to adapt much rapidly for galactose at the second time, and the cellular memory about galactose metabolism could maintain for several generations in E. coli . Besides carbon source switching, microbial cellular memory was also observed during the adaptation to other stress. A short pre-culture of yeast in the condition with high NaCl concentration significantly increased the resistance to salt stress, and much more rapid adaptation to salt stress was observed during the re-exposure to NaCl . Cellular memory of yeast was also reported in the response of the short hyperosmotic stress with high concentration of sorbitol . In this study, we reported the cellular memory of xylose metabolism when engineered yeast was moved to xylose from glucose, and the cellular memory helped yeast to fit xylose metabolism more rapidly.
For the unicellular organisms, the cellular memory for the environmental fluctuations passed to the daughter cells by epigenetic inheritance, including modification of histone, regulation of chromatin structure, regulation of transcriptional factors and so on . Histone methylation has been revealed to be related to cellular memory in yeast and other organisms . Histone modifications might serve as the basis for epigenetic memory . In S. cerevisiae, histone modifications include methylation, acetylation, phosphorylation and so on. In addition, there are several cites on histone for the modifications. Here we reported that the acetylation of H4K5 was closely related to XCM. We also figured out that GCN5 and HPA2 encode the key enzymes for modification at H4K5 to regulate XCM of engineered yeast. GCN5 histone acetyltransferase was previously revealed in transient stress-induced reprogramming of the genome . HPA2 encodes the acetyltransferase, similar to GCN5, HAT1, ELP3, and HPA3, which can acetylate histones H3 and H4 . Recently, it was revealed that H4 histone acetyltransferases, only worked during the transcription process in yeast . Combined with our results, it is convincing that the acetylation of histone is very important part for maintaining cellular memory for previous metabolic states of yeast.
In the present study, the XCM in S. cerevisiae has been induced with a switch of culture modes, more important, the molecular mechanisms associated with XCM had been systematically elucidated from a protein acetylation perspective. Results indicated that protein acetylation can regulate multigene pathways, which in turn affected the XCM of S. cerevisiae. The multiple technologies had been employed to identify the acetylation sites and alter the acetylation modifying-related enzymes, and confirmed that acetylation modifications significantly affected the ability of XCM in S. cerevisiae. A systematic exploration of the protein acetylation regulation in S. cerevisiae provides valuable insights into the microbial adaptation to complex industrial environments.
Strains and plasmids
All primers were synthesized by Genewiz (China) and listed in Additional file 1: Table S1. S. cerevisiae L2612 (MATa, leu2-3, leu2-112, ura3-52, and trp1-298 can1 cyn1 gal+), BY4742 (MATα, his3Δ1, leu2Δ0, lys2Δ0, and ura3Δ0) were used for constructing recombinant strains. E. coli Top10 was purchased from Beijing Biomedical Co., Ltd, and used for gene cloning and plasmid construction. The required promoters and terminators were amplified from S. cerevisiae BY4742 strain. The required genes were synthesized by GenScript China Inc. and then assembled using Vazyme’ ClonExpress MultiS One Step Cloning Kit (C113). In addition, we have constructed some engineered strains. The yYST24 strain have multicopy genes encoding xylose metabolic pathway, while yYST31 and yYST10 strains have the single copy. The SQ-2, yYST10 and yYST12 strains were engineered with the xylose reductase (XR) and xylitol dehydrogenase (XDH) pathway, while the other strains were engineered with the xylose isomerase (XI) pathway. The yYST24, yYST31 and yYST10 strains were constructed based on BY4742 chassis.
Design of the donor DNA for introduction of point mutation and knockout using the CRISPR/Cas9 system . The protospacer adjacent motif (PAM) sequences of guide RNAs (gRNAs) were designed using E-CRISP Design (http://www.e-crisp.org/E-CRISP/designcrispr.html) . The sequences of gRNAs used in this study are summarized in Additional file 1: Table S2. The detailed information of engineered S. cerevisiae strains and plasmids used in this study had been provided in Table 1.
Media preparation and culture conditions
SG medium consists of 6.7 g/L yeast nitrogen base without amino acids, 20 g/L glucose, 0.1 g/L leucine, 0.02 g/L histidine, 0.02 g/L uracil and 0.02 g/L tryptophan. SX medium consists of 6.7 g/L yeast nitrogen base without amino acids, 20 g/L xylose, 0.1 g/L leucine, 0.02 g/L histidine, 0.02 g/L uracil and 0.02 g/L tryptophan. SC-Ura medium was prepared from 6.7 g/L yeast nitrogen base without amino acids, 20 g/L glucose, 0.1 g/L leucine, 0.02 g/L histidine, and 0.02 g/L tryptophan. In the experiment of microfluidic culture, SG medium and SX medium were filtered through a 0.2-µm filter and polyethylene–polypropylene glycol were added to make a final concentration of 0.5%. E. coli was cultivated on the luria–bertani medium (10 g/L peptone, 5 g/L yeast extract, and 5 g/L sodium chloride) with 100 mg/L ampicillin.
Xylose consumption experiment
To evaluate the potential behaviors of S. cerevisiae with the switch of medium, the strains were first cultured in SG medium for 24 h and then transferred to SX medium and cultured for 24 h. The xylose content was determined by high-performance liquid chromatography (HPLC). After that, these strains were transferred to SX medium and cultured for another 24 h. The xylose content was determined by HPLC. Fermentation experiments were performed in 250 mL triangular flasks at 30 ℃ and 200 rpm with a working volume of 100 mL media.
Microfluidic culturing and testing
A microfluidic channel integrated with Yrot traps was employed in this study . In this experiment, the microchannel was first sterilized using 75% ethanol injected from the inlet and incubated at 100 ℃ overnight for residual liquid evaporation. The cell suspension was then injected into the channel at a flow rate of 5 µL/min for 5 min, and then the inlet was switched to fresh SG medium for long-term culturing at a flow rate of 10 µL/min. After 4 h of culturing and adaption of loaded cells, the SG medium was then switched to SX medium. After 10 h of culturing in SX medium, the flowing medium in the main channel was switched back to SG medium again for 4 h. Finally, the flowing medium in the main channel was switched to SX medium again for 6 h (Fig. 2B).
During the experiments, the microfluidic chip was fixed by a customized holder, with its inlet and outlet connected to a glass syringe and a waste collection, respectively. The whole system was together kept on an inverted confocal microscope (FV3000, Olympus Co., Japan) and then imaged using a 20× objective lens (UCPLFLN, 0.7 NA, Olympus Co., Japan, correction ring adjusted to 0.5 mM). Bright-field images were automatically scanned at an interval of 10 min using a software workflow (FV31S-SW, Olympus Co., Japan). A Z-axis Drift Compensation system (IX3-ZDC2, Olympus Co., Japan) helped to ensure the sharp focusing of samples throughout the long-term monitoring.
Protein acetylation analysis
The yYST12 strain was first prepared in SG medium and the medium was refreshed every 24 h. The yYST12 strain was incubated in SG medium for a total of 9 days and labeled as D9. The yYST12 strain after culture in SG medium for 9 days did not have a behavior of xylose consumption memory. The yYST12 strain was then transferred to SX medium for a total of 6 days and the medium was refreshed every 48 h. The yYST12 strain under this culture condition was labeled as D9X6, which have a behavior of xylose consumption memory. The yYST12 strain was finally transferred to SG medium for a total of 9 days and the medium was refreshed every 24 h. The yYST12 strain under this culture condition was labeled D9X6D9, which shows the disappearance of xylose consumption memory. The fermentation was carried out at 30 ℃ and 200 rpm. Cells at the middle of the logarithmic growth cycle were harvested. The approaches involving TMT labeling, HPLC fractionation, Kac antibody affinity enrichment, and LC–MS/MS were employed to quantify the dynamic changes in the whole acetylome. The quantitative ratio of > 1.2 indicated the upregulation of sites, whereas the quantitative ratio of < 0.83 was indicated the downregulation of sites. To further understand the function and feature of the identified and quantified proteins, gene annotation was performed based on different categories, such as gene ontology (GO), domain, pathway, and subcellular localization. Both the identified and quantifiable proteins were annotated. Comparison group-based clustering was performed for D9X6 vs. D9, D9X6D9 vs. D9, and D9X6D9 vs. D9X6 groups. Bioinformatics analyses such as GO annotation, domain annotation, subcellular localization, kyoto encyclopedia of genes and genomes pathway annotation, and functional cluster analysis were performed to annotate the quantifiable lysine-acetylated targets in response to drug treatment.
Based on the results, further studies, such as XCM-related acetylation site prediction. Before training the data set, the assay data were preprocessed. Partial least square (PLS) is an efficient statistical classification technique suitable for analyzing high-dimensional data and genomic and proteomic data, especially for the problems of classification and dimension reduction in bioinformatics and genomics . PLS is a commonly used feature extraction algorithm. This algorithm is based on the idea of latent variables that model the relationship between the input variable Xn × m (n: loci, m: samples) and the response variable Y1 × m. For example, in the case of D9 vs. D9X6, Y is a column vector, such as [1, 1, 1, –1, –1, –1], wherein D9 corresponds to 1 and D9X6 corresponds to –1. For more convincing results, the VIP was explored to calculate the importance of each site to the response variable, which is the basis for selecting the signature sites :
where p is the number of genes in the training data set, and
where the parameters T, Q, and w are calculated using PLS; w is the unitized form of W.
Fermentation experiments to lose XCM
To study the xylose consumption performance, the strains were first cultured in SX medium for 6 days, and then transferred to SG medium and cultured for 0, 8, 12, 16, and 20 days, respectively. After that, these strains were again transferred to SX medium for high-throughput fermentation experiments. For high-throughput fermentation experiments, xylose consumption was analyzed and used as a metric for assessing the XCM. The SG medium was refreshed every 24 h, while the SX medium was refreshed every 48 h in these experiments (Fig. 4A). These strains were performed in 250 mL triangular flasks at 30 ℃ and 200 rpm with a working volume of 100 mL. High-throughput fermentation experiments were performed using 96-well plates at 30 ℃ and 900 rpm with a working volume of 230 µL.
Fermentation experiments to generate XCM
To study the production of XCM, the yYST245, yYST246, yYST247, yYST248, yYST249, yYST250, yYST252 and yYST12 were first incubated in SG medium for 8 days and then transferred to SX medium for 24 h. At the same time, these strains were transferred to SX medium for high-throughput fermentation experiments. After that, these strains were again transferred to SX medium for high-throughput fermentation experiments. For high-throughput fermentation experiments, xylose consumption was analyzed and used as a metric for assessing the XCM (Fig. 5A). These strains were performed in 250 mL triangular flasks at 30 ℃ and 200 rpm with a working volume of 100 mL. High-throughput fermentation experiments were performed using 96-well plates at 30 ℃ and 900 rpm with a working volume of 230 µL.
Stagnation rate, forgetting value and memory value
Saccharomyces cerevisiae was cultured in microfluidic, according to the first and second delay period, and the stagnation rate is obtained. A higher value of this value indicates that the strain has a better capacity of xylose consumption memory:
where A is cell stagnation growth time during the first SX medium culture in microfluidic, B is cell stagnation growth time during the second SX medium culture in microfluidic.
Calculation of forgetting values for strains losing xylose consumption memory:
where C represents the weight of xylose consumption that S. cerevisiae were cultured in SX medium continuously for 6 days and transferred to SX medium for 48 h. D represents the weight of xylose consumption that S. cerevisiae were cultured in SX medium continuously for 6 days, then transferred to SG medium for 8 days, and finally transferred to SX medium for 48 h.
Compare the xylose consumption weight of strains after the xylose memory 24 h with strains before the xylose memory is generated:
where E represents the weight of xylose consumption that S. cerevisiae were continuously incubated in SG medium for 8 days, then transferred to SX medium for 24 h, and finally transferred to SX medium for 24 h. F represents the weight of xylose consumption that S. cerevisiae were cultured in SG medium continuously for 8 days and transferred to SX for 24 h.
Medium samples before and after fermentation were filtered through 0.2 µm filters before injection into the HPLC system. HPLC (Waters e2695/2414) consists of an Aminex HPX-87H ion-exchange column (Bio-Rad, Hercules, USA) using 0.5 mM H2SO4 as mobile phase at a flow rate of 0.6 mL/min with the column temperature of 65 ℃ .
- S. cerevisiae :
Xylose Consumption Memory
Partial Least Squares
- E. coli :
Synthetic Complete-glucose Medium
Synthetic Complete-glucose Medium Lacking Uracil
Synthetic Complete-xylose Medium
Tandem Mass Tags
Liquid Chromatography–tandem Mass Spectrometry
High-performance Liquid Chromatography
Protospacer Adjacent Motif
Clustered Regularly Interspaced Short Palindromic Repeat
Lee SB, Tremaine M, Place M, Liu L, Pier A, Krause DJ, Xie D, Zhang Y, Landick R, Gasch AP, et al. Crabtree/Warburg-like aerobic xylose fermentation by engineered Saccharomyces cerevisiae. Metab Eng. 2021;68:119–30.
Ruchala J, Sibirny AA. Pentose metabolism and conversion to biofuels and high-value chemicals in yeasts. FEMS Microbiol Rev. 2021;45:fuaa069.
Balat M, Balat H, Öz C. Progress in bioethanol processing. Prog Energy Combust Sci. 2008;34:551–73.
Thompson W, Meyer S. Second generation biofuels and food crops: co-products or competitors? Glob Food Sec. 2013;2:89–96.
Achinas S, Euverink GJW. Consolidated briefing of biochemical ethanol production from lignocellulosic biomass. Electron J Biotechnol. 2016;23:44–53.
Kumar A, Singh LK, Ghosh S. Bioconversion of lignocellulosic fraction of water-hyacinth (Eichhornia crassipes) hemicellulose acid hydrolysate to ethanol by Pichia stipitis. Bioresour Technol. 2009;100:3293–7.
Kim JH, Block DE, Mills DA. Simultaneous consumption of pentose and hexose sugars: an optimal microbial phenotype for efficient fermentation of lignocellulosic biomass. Appl Microbiol Biotechnol. 2010;88:1077–85.
Limayem A, Ricke SC. Lignocellulosic biomass for bioethanol production: current perspectives, potential issues and future prospects. Prog Energy Combust Sci. 2012;38:449–67.
Kobayashi Y, Sahara T, Ohgiya S, Kamagata Y, Fujimori KE. Systematic optimization of gene expression of pentose phosphate pathway enhances ethanol production from a glucose/xylose mixed medium in a recombinant Saccharomyces cerevisiae. AMB Express. 2018;8:1–11.
Kricka W, Fitzpatrick J, Bond U. Challenges for the production of bioethanol from biomass using recombinant yeasts. Adv Appl Microbiol. 2015;92:89–125.
Zha J, Hu M, Shen M, Li B, Wang J, Yuan Y. Balance of XYL1 and XYL2 expression in different yeast chassis for improved xylose fermentation. Front Microbiol. 2012;3:355.
Jagtap SS, Rao CV. Microbial conversion of xylose into useful bioproducts. Appl Microbiol Biotechnol. 2018;102:9015–36.
Kwak S, Jo JH, Yun EJ, Jin Y-S, Seo J-H. Production of biofuels and chemicals from xylose using native and engineered yeast strains. Biotechnol Adv. 2019;37:271–83.
Qi X, Zha J, Liu G-G, Zhang W, Li B-Z, Yuan Y-J. Heterologous xylose isomerase pathway and evolutionary engineering improve xylose utilization in Saccharomyces cerevisiae. Front Microbiol. 2015;6:1165.
Li W-C, Zhu J-Q, Zhao X, Qin L, Xu T, Zhou X, Li X, Li B-Z, Yuan Y-J. Improving co-fermentation of glucose and xylose by adaptive evolution of engineering xylose-fermenting Saccharomyces cerevisiae and different fermentation strategies. Renew Energy. 2019;139:1176–83.
Davidson EH, Rast JP, Oliveri P, Ransick A, Calestani C, Yuh CH, Minokawa T, Amore G, Hinman V, Arenas-Mena C, et al. A genomic regulatory network for development. Science. 2002;295:1669–78.
Vladimirov N, Sourjik V. Chemotaxis: how bacteria use memory. Biol Chem. 2009;390:1097–104.
Brickner DG, Cajigas I, Fondufe-Mittendorf Y, Ahmed S, Lee PC, Widom J, Brickner JH. H2A.Z-mediated localization of genes at the nuclear periphery confers epigenetic memory of previous transcriptional state. PLoS Biol. 2007;5:e81.
Zacharioudakis I, Gligoris T, Tzamarias D. A yeast catabolic enzyme controls transcriptional memory. Curr Biol. 2007;17:2041–6.
Kundu S, Peterson CL. Dominant role for signal transduction in the transcriptional memory of yeast GAL genes. Mol Cell Biol. 2010;30:2330–40.
Lohr D, Venkov P, Zlatanova J. Transcriptional regulation in the yeast GAL gene family: a complex genetic network. Faseb J. 1995;9:777–87.
Schiera G, Di Liegro CM, Di Liegro I. Cell-to-cell communication in learning and memory: from neuro- and glio-transmission to information exchange mediated by extracellular vesicles. Int J Mol Sci. 2019;21:266.
Light WH, Freaney J, Sood V, Thompson A, D’Urso A, Horvath CM, Brickner JH. A conserved role for human Nup98 in altering chromatin structure and promoting epigenetic transcriptional memory. PLoS Biol. 2013;11:e1001524.
Light WH, Brickner DG, Brand VR, Brickner JH. Interaction of a DNA zip code with the nuclear pore complex promotes H2A.Z incorporation and INO1 transcriptional memory. Mol Cell. 2010;40:112–25.
Brickner DG, Coukos R, Brickner JH. INO1 transcriptional memory leads to DNA zip code-dependent interchromosomal clustering. Microb Cell. 2015;2:481–90.
Ferullo DJ, Lovett ST. The stringent response and cell cycle arrest in Escherichia coli. PLoS Genet. 2008;4:e1000300.
Chang DE, Smalley DJ, Conway T. Gene expression profiling of Escherichia coli growth transitions: an expanded stringent response model. Mol Microbiol. 2002;45:289–306.
Magnusson LU, Farewell A, Nyström T. ppGpp: a global regulator in Escherichia coli. Trends Microbiol. 2005;13:236–42.
Alon U. Network motifs: theory and experimental approaches. Nat Rev Genet. 2007;8:450–61.
Zhu Z, Wang Y, Peng R, Chen P, Geng Y, He B, Ouyang S, Zheng K, Fan Y, Pan D. A microfluidic single-cell array for in situ laminar-flow-based comparative culturing of budding yeast cells. Talanta. 2021;231:122401.
Molinier J, Ries G, Zipfel C, Hohn B. Transgeneration memory of stress in plants. Nature. 2006;442:1046–9.
Chen J, Liu Q, Zeng L, Huang X. Protein acetylation/deacetylation: a potential strategy for fungal infection control. Front Microbiol. 2020;11:2505.
Li S-J, Hua Z-S, Huang L-N, Li J, Shi S-H, Chen L-X, Kuang J-L, Liu J, Hu M, Shu W-S. Microbial communities evolve faster in extreme environments. Sci Rep. 2014;4:1–9.
Kundu S, Horn PJ, Peterson CL. SWI/SNF is required for transcriptional memory at the yeast GAL gene cluster. Genes Dev. 2007;21:997–1004.
D’Urso A, Takahashi Y-H, Xiong B, Marone J, Coukos R, Randise-Hinchliff C, Wang J-P, Shilatifard A, Brickner JH. Set1/COMPASS and mediator are repurposed to promote epigenetic transcriptional memory. Elife. 2016;5:e16691.
New AM, Cerulus B, Govers SK, Perez-Samper G, Zhu B, Boogmans S, Xavier JB, Verstrepen KJ. Different levels of catabolite repression optimize growth in stable and variable environments. PLoS Biol. 2014;12:e1001764.
Stockwell SR, Landry CR, Rifkin SA. The yeast galactose network as a quantitative model for cellular memory. Mol BioSyst. 2015;11:28–37.
Tan-Wong SM, Wijayatilake HD, Proudfoot NJ. Gene loops function to maintain transcriptional memory through interaction with the nuclear pore complex. Genes Dev. 2009;23:2610–24.
Lambert G, Kussell E. Memory and fitness optimization of bacteria under fluctuating environments. PLoS Genet. 2014;10:e1004556.
Guan Q, Haroon S, Bravo DG, Will JL, Gasch AP. Cellular memory of acquired stress resistance in Saccharomyces cerevisiae. Genetics. 2012;192:495–505.
Ben Meriem Z, Khalil Y, Hersen P, Fabre E. Hyperosmotic stress response memory is modulated by gene positioning in yeast. Cells. 2019;8:582.
Xue Y, Acar M. Mechanisms for the epigenetic inheritance of stress response in single cells. Curr Genet. 2018;64:1221–8.
Fabrizio P, Garvis S, Palladino F. Histone methylation and memory of environmental stress. Cells. 2019;8:339.
Henikoff S, Smith MM. Histone variants and epigenetics. Cold Spring Harb Perspect Biol. 2015;7:a019364.
Xue-Franzén Y, Henriksson J, Bürglin TR, Wright AP. Distinct roles of the Gcn5 histone acetyltransferase revealed during transient stress-induced reprogramming of the genome. BMC Genomics. 2013;14:1–15.
Sampath V, Liu B, Tafrov S, Srinivasan M, Rieger R, Chen EI, Sternglanz R. Biochemical characterization of Hpa2 and Hpa3, two small closely related acetyltransferases from Saccharomyces cerevisiae. J Biol Chem. 2013;288:21506–13.
Martin BJ, BrindAmour J, Kuzmin A, Jensen KN, Liu ZC, Lorincz M, Howe LJ. Transcription shapes genome-wide histone acetylation patterns. Nat Commun. 2021;12:1–9.
Hayashi A, Tanaka K. Short-homology-mediated CRISPR/Cas9-based method for genome editing in fission yeast. G3 Genes|Genomes|Genetics. 2019, 9:1153–1163.
Heigwer F, Kerr G, Boutros M. E-CRISP: fast CRISPR target site identification. Nat Methods. 2014;11:122–3.
Xu X, Zhu Z, Wang Y, Geng Y, Xu F, Marchisio MA, Wang Z, Pan D. Investigation of daughter cell dissection coincidence of single budding yeast cells immobilized in microfluidic traps. Anal Bioanal Chem. 2021;413:2181–93.
Tan Y, Shi L, Tong W, Hwang GT, Wang C. Multi-class tumor classification by discriminant partial least squares using microarray gene expression data and assessment of classification models. Comput Biol Chem. 2004;28:235–44.
Mehmood T, Warringer J, Snipen L, Sæbø S. Improving stability and understandability of genotype-phenotype mapping in Saccharomyces using regularized variable selection in L-PLS regression. BMC Bioinform. 2012;13:327.
We are grateful to Professor Li-min Cao (Capital Normal University) for the gift of the strain SQ-2.
This work was funded by Tianjin Fund for Distinguished Young Scholars (19JCJQJC63300) and the National Natural Science Foundation of China (21576198).
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Primers used in this work. Table S2. gRNAs used in this work. Fig. S1. Comparison of forgetting value between strain yYST210 (H4K5R) and control yYST12. The H4K5R and control yYST12 strains were incubated in synthetic complete-xylose medium (SX) continuously to induce XCM, and the strains were then transferred to synthetic complete-glucose medium (SG) for 0 and 8 days, respectively, and finally incubated in SX medium for 48 h (h). ***P < 0.001.
Data related to protein acetylation.
Variables Importance on Projection.
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Tan, YS., Wang, L., Wang, YY. et al. Protein acetylation regulates xylose metabolism during adaptation of Saccharomyces cerevisiae. Biotechnol Biofuels 14, 241 (2021). https://doi.org/10.1186/s13068-021-02090-x
- Xylose consumption memory
- Protein acetylation
- Saccharomyces cerevisiae
- Synthetic biology