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Article

Adaptive Evolution for the Efficient Production of High-Quality d-Lactic Acid Using Engineered Klebsiella pneumoniae

1
State Key Laboratory of Microbial Technology and Institute of Microbial Technology, Shandong University, Qingdao 266237, China
2
CAS Key Laboratory of Biobased Materials, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Qingdao 266101, China
3
Shandong Energy Institute, Qingdao 266101, China
4
Qingdao New Energy Shandong Laboratory, Qingdao 266101, China
5
University of Chinese Academy of Sciences, Beijing 100049, China
*
Authors to whom correspondence should be addressed.
Microorganisms 2024, 12(6), 1167; https://doi.org/10.3390/microorganisms12061167
Submission received: 8 May 2024 / Revised: 31 May 2024 / Accepted: 6 June 2024 / Published: 8 June 2024
(This article belongs to the Special Issue Bacterial Engineering and Metabolism Regulation)

Abstract

:
d-Lactic acid serves as a pivotal platform chemical in the production of poly d-lactic acid (PDLA) and other value-added products. This compound can be synthesized by certain bacteria, including Klebsiella pneumoniae. However, industrial-scale lactic acid production in Klebsiella pneumoniae faces challenges due to growth inhibition caused by lactic acid stress, which acts as a bottleneck in commercial microbial fermentation processes. To address this, we employed a combination of evolutionary and genetic engineering approaches to create an improved Klebsiella pneumoniae strain with enhanced lactic acid tolerance and production. In flask fermentation experiments, the engineered strain achieved an impressive accumulation of 19.56 g/L d-lactic acid, representing the highest production yield observed in Klebsiella pneumoniae to date. Consequently, this strain holds significant promise for applications in industrial bioprocessing. Notably, our genome sequencing and experimental analyses revealed a novel correlation between UTP-glucose-1-phosphate uridylyltransferase GalU and lactic acid resistance in Klebsiella pneumoniae. Further research is warranted to explore the potential of targeting GalU for enhancing d-lactic acid production.

1. Introduction

Lactic acid is a significant chiral chemical that finds widespread use in several industrial chemicals such as food additives, pharmaceuticals, fine chemicals, and biopolymers [1]. Recently, there has been a growing emphasis on environmental conservation, leading to increased recognition of polylactic acid (PLA) as a sustainable source of plastic material [2]. However, the production of PLA necessitates the utilization of monomeric lactic acid that possesses exceptional quality, characterized by both high optical and chemical purity [3,4,5]. Different monomers can undergo polymerization and form distinct types of bioplastics, including poly l-lactic acid (PLLA), poly d-lactic acid (PDLA), and poly d,l-lactic acid (PDLLA). The process of fermenting l-lactic acid is widely recognized and extensively studied in academic circles. d-lactic acid has gained significant importance recently and has found extensive applications in various sectors, such as packaging, coatings, textiles, and the automotive industry [4].
d-lactic acid can be generated through fermentation using various microbial strains, including wild-type Lactobacillus and Sporolactobacillus, as well as metabolic-engineered strains from the Escherichia, Saccharomyces, and Klebsiella genera [6]. Klebsiella pneumonia, with its rapid growth rate in minimal medium and substrate versatility (including glycerol and monosaccharides), has been a focus of research [6]. It is already widely used as a microbial factory for the production of 3-hydroxypropionate [7], 1,3-propanediol [8], hyaluronic acid [9], 2-hydroxyisovalerate [10], and d-lactic acid [6,11]. Notably, the d-lactic acid dehydrogenase of the K. pneumoniae strain exhibits excellent selectivity, and K. pneumoniae ATCC25955 is able to produce optically pure d-lactate with no detectable l-lactate in culture [11]. In our previous study [6,11], we engineered K. pneumoniae ATCC25955 to produce optically pure d-lactic acid with high productivity and yield from glycerol and glucose, respectively. However, there remains a scarcity of reports on metabolic engineering strategies for d-lactic acid production in K. pneumoniae [6,11,12]. Investigating K. pneumoniae further may reveal novel approaches to enhance d-lactic acid production and broaden its industrial applications.
The main barrier to commercial lactic acid production via microbial fermentation is growth inhibition caused by various environmental stresses encountered during industrial bioprocesses [13]. Among these, the growth limitation caused by the fermentation product (lactic acid) is noteworthy. The toxicity of organic acids results from the combined effects of anion and acidic pH [14]. Specifically, undissociated lactic acid concentration in the medium rises in tandem with bacterial growth and lactate accumulation [15]. The membrane-soluble undissociated form of lactic acid diffuses into the cytoplasm, leading to rapid dissociation, proton release, and anion release [16]. If the proton accumulation rate exceeds the cytoplasmic buffering capacity and efflux system capabilities, cellular functioning is impaired [15,17]. In this process, the exporting of protons and acid anions via H+-ATPase and efflux pumps, respectively, consumes a significant amount of ATP [18]. Notably, intracellular accumulation of acid anions may be of greater importance than proton release in inhibiting cell growth [15]. Acid anion accumulation within the cell increases cellular osmolarity, causing lethal turgor pressure [19]. It may also induce a direct feedback inhibition of important metabolic pathways [19]. For example, Roe et al. [20] proved that methionine production was specifically suppressed by acetate accumulation. Hence, improving bacterial tolerance to low pH and lactate is critical for achieving balanced cell growth and a high lactic acid titer.
Microbial adaptive laboratory evolution (ALE) stands out as a simple yet effective technique for optimizing industrial strains that produce high-value metabolic products. Additionally, ALE provides insights into microbial resistance to various stressors. For example, in a previous study, we acquired phloroglucinol-tolerant Escherichia coli strains via ALE, and three mutations (ΔsodB, ΔclpX, and fetAB overexpression) proved of great assistance in the tolerance improvement [21]. Mazzoli et al. [22] increased the lactate tolerance of C. thermocellum strains LL345 (parent strain) and LL1111 (ΔadhE, lactic acid overproducing strain) through ALE. Svetlitchnyi et al. [23] obtained evolved strains originating from Caldicellulosiruptor sp. DIB 104C by ALE, which could produce unusually large amounts of l-lactic acid from microcrystalline cellulose in fermenters. Tian et al. [2] employed adaptive evolution to breed and select a high-performance Lactobacillus paracasei strain that could produce 221.0 g/L of l-lactic acid in open fermentation with a high initial glucose concentration.
In this study, we conducted ALE to generate lactic acid-tolerant strains. These strains were cultivated in media with gradually increasing lactic acid levels, all without pH adjustment. Our subsequent genome resequencing analysis provided insights into adaptation mechanisms and potential strategies for overcoming bottlenecks under selective pressure. Eight evolved strains were subjected to genome sequencing, revealing four single nucleotide polymorphism (SNP) changes. Additionally, through transcriptional analysis and colony-forming unit (CFU) ratio testing, we discovered a novel correlation between the galU gene and bacterial lactic acid resistance. Notably, this finding represents the first time such a relationship has been observed. In addition, as the ΔbudBΔackAΔadhE strain Q2702 obtained a high production and yield of d-lactic acid in our previous study [6], we deleted ackA, adhE, and budB genes in our evolved strains. The engineered strains performed better in glucose-containing media, which have higher lactic acid tolerance, growing faster and producing more d-lactic acid than the control strain Q2702. In particular, Q5224 has superior growth ability and can produce 19.56 g/L of lactic acid in shake flask fermentation, which was almost 55.5% higher than that of Q2702, making it a promising candidate for industrial d-lactic acid production.

2. Materials and Methods

2.1. Bacterial Strains and Growth Conditions

All strains were listed in Table 1, and all primers were listed in Table S1. Bacteria were cultured at 37 °C in Luria-Bertani broth or the fermentation medium. The fermentation medium consisted of the following components per liter: glucose (20 g); NH4Cl (5.4 g); KH2PO4 (2 g); K2HPO4 (1.6 g); citric acid (0.42 g); MgSO4 ·7H2O (0.2 g); and trace elements stock solution (1 mL). The trace element solution includes Na2MoO4 ·2H2O (0.005 g/L), H3BO3 (0.062 g/L), CuCl2 ·2H2O (0.17 g/L), CoCl2 ·6H2O (0.476 g/L), ZnCl2 (0.684 g/L), MnCl2 ·4H2O (2 g/L), FeCl3·6H2O (5 g/L), and concentrated hydrogen chloride (HCl) (10 mL/L). Antibiotics were added when necessary at final concentrations of 50 μg/mL for chloramphenicol. E. coli DH5α was used as a host for the preparation of plasmid DNA, and E. coli χ7213 was used for the preparation of suicide plasmids. Diaminopimelic acid (DAP) at 50 μg/mL supported the growth of χ7213 strain. Additionally, LB agar containing 10% sucrose facilitated sacB gene-based counter-selection in allelic exchange experiments.
In this study, plasmids were constructed by digesting PCR fragments containing the target gene and cloning them into corresponding vectors as normal. Klebsiella pneumoniarcsA, Klebsiella pneumoniagalU, Klebsiella pneumoniaydhS, Klebsiella pneumonia A1∆adhEackAbudB, Klebsiella pneumonia A4∆adhEackAbudB, Klebsiella pneumonia B1∆adhEackAbudB was constructed by homologous recombination using suicide plasmids [24].
Table 1. Strain and plasmid used in this study.
Table 1. Strain and plasmid used in this study.
Strain and PlasmidDescriptionSource
Strains
E. coli DH5αF supE44 ΔlacU169 (ϕ80 lacZ ΔM15) hsdR17 recA1 endA1 gyrA96 thi-1 relA1lab collection
E. coli χ7213thi-1 thr-1 leuB6 glnV44 fhuA21 lacY1 recA1 RP4-2-Tc::Mu λpir ΔasdA4 Δzhf-2::Tn10[25]
E.coli CC118 (λpir+)araD139 Δ(ara, leu)7697 ΔlacX74 phoAΔ20 galE galK thi rpsE rpoB argEam recA1University of Pennsylvania. Dieter M. Schifferli
Q1188K. pneumoniae ATCC25955ATCC
Q4441K. pneumoniae ATCC25955 evolved strain A1this study
Q4442K. pneumoniae ATCC25955 evolved strain A2this study
Q4443K. pneumoniae ATCC25955 evolved strain A3this study
Q4444K. pneumoniae ATCC25955 evolved strain A4this study
Q4445K. pneumoniae ATCC25955 evolved strain A8this study
Q4446K. pneumoniae ATCC25955 evolved strain B1this study
Q4447K. pneumoniae ATCC25955 evolved strain C8this study
Q4448K. pneumoniae ATCC25955 evolved strain D3this study
Q4589K. pneumoniae ATCC25955 ΔrcsAthis study
Q4590K. pneumoniae ATCC25955 1780734 SNP mutation (A<->G)this study
Q4607K. pneumoniae ATCC25955 ΔgalUthis study
Q4608K. pneumoniae ATCC25955 ΔydhSthis study
Q4616K. pneumoniae ATCC25955 ΔgalU/pACYCDuet1-Plac1-6lacOthis study
Q4601K. pneumoniae ATCC25955/pACYCDuet1-Plac1-6lacO-galUthis study
Q4609K. pneumoniae ATCC25955ΔgalU/pACYCDuet1-Plac1-6lacO-galUthis study
Q2702K. pneumoniae ATCC25955 ΔbudB ΔackA ΔadhEthis study
Q5221K. pneumoniae ATCC25955 A1 ΔbudB ΔackA ΔadhE this study
Q5224K. pneumoniae ATCC25955 A4 ΔbudB ΔackA ΔadhEthis study
Q5227K. pneumoniae ATCC25955 B1 ΔbudB ΔackA ΔadhEthis study
Plasmids
pACYCDuet1-Plac1-6lacOrepp15A CmR lacI Plac1-6lab collection
pRE112oriT oriV sacB CmRlab collection
For shake flask cultivation, the strains were cultured in a 250-mL flask containing 100 mL of medium at 37 °C in an orbital incubator shaker running at 180 rpm. After 72 h, samples were withdrawn to determine the cell mass, glucose, d-lactic acid, and by-products. To maintain pH stability, 25% NH3·H2O was added every 12 h (with the pH dropping to approximately 4). Glucose levels were measured using an M-100 biosensor analyzer (Shenzhen Sieman Technology Co., Ltd., Shenzhen, China), and an additional 20 g/L glucose was added when the initial carbon source was nearly exhausted. All shaking experiments were carried out in triplicate.

2.2. Susceptibility Assay of Lactic Acid and Hydrogen Chloride

The tolerance assays of lactic acid were conducted in the fermentation medium containing 0, 0.5, 1.0, 2.0, or 5.0 g/L lactic acid. The wild type was cultured overnight and re-inoculated (1:50) into 100 mL of the fermentation medium in a 250 mL flask. Lactic acid susceptibility was monitored by the measurement of OD600 and CFU.
The survival assays of lactic acid were conducted in the fermentation medium containing 0 or 3.0 g/L lactic acid. Bacterial cells were cultured overnight, re-inoculated (2:100) in the fermentation medium and grown to an OD600 of 1.8. Indicated lactic acid was added into the fermentation medium, and strains were grown for another several hours before the cells were collected to determine the CFU.
The survival assays of hydrogen chloride were conducted in the fermentation medium with or without the hydrogen chloride challenge. Bacterial cells were cultured overnight, re-inoculated (2:100) in the fermentation medium and grown to an OD600 of 1.8. Indicated hydrogen chloride was added into the fermentation medium, and strains were grown for another several hours before the cells were collected to determine the CFU. Survival (%) = (CFU with lactic acid challenge/CFU without lactic acid challenge) × 100%.

2.3. Adaptive Evolution of K. pneumoniae Strain

Adaptive evolution of K. pneumoniae strain was performed. The strain was cultivated in the fermentation medium supplemented with 3 g/L yeast extract, reaching an optical density at 600 nm (OD600) of 1.8. It was then challenged with 2 g/L lactic acid for 10 h before being recovered in LB broth overnight. The resulting LB culture was used as the inoculum for the subsequent selection round with higher lactic acid concentration. To isolate evolved mutants, culture was spread onto LB agar plates, and single colonies were subjected to LA tolerance assay. Eight colonies with the highest lactic acid tolerance were designated as A1, A2, A3, A4, A8, B1, C8, and D3, and their genomes were resequenced by the Beijing Genomics Institution (BGI).

2.4. Quantitative Real-Time PCR

Bacterial cells were cultured overnight, re-inoculated (2:100) in the fermentation medium and grown to an OD600 of 1.8. Then, 3 g/L lactic acid was added into the medium, and strains were grown for another 4 h. The cells were collected before or after the addition of lactic acid.
Quantitative real-time PCR (qRT-PCR) was performed as previously described [26]. Total RNA was extracted from bacterial culture using the EASYSpin Plus bacterial RNA quick extract kit (Aidlab Biotechnologies, Beijing, China). RNA concentration was determined by spectrophotometry at 260 nm. Genomic DNA removal and cDNA synthesis were performed using the PrimeScript RT reagent Kit with gDNA Eraser (Takara, Shiga, Japan). qRT-PCR was conducted using TB Green Premix Ex Taq (Takara, Shiga, Japan) on the QuantStudio 1 system (Applied Biosystems, Waltham, MA, USA). Constitutively transcribed gene rpoD served as a reference control for normalizing the total RNA quantity of different samples. Relative differences in mRNA levels were calculated using the ΔΔCt method [27].

2.5. Analysis of d-Lactic Acid Production

Biomass was monitored using a UV visible spectroscopy system (Varian Cary 50 Bio, Palo Alto, CA, USA) at 600 nm. The fermentation products of d-lactic acid, acetate, ethanol, and succinate were detected by HPLC with a refractive index detector (RI-150, Thermo Spectra System, Waltham, MA, USA) and ion exchange column (Aminex® HPX-87H, 7.8 × 300 mm, BioRad, Hercules, CA, USA) at 60 °C. The mobile phase consisted of 5 mM H2SO4 as the mobile phase, and the flow rate was set at 0.5 mL/min [6].

3. Results

3.1. ALE of K. pneumoniae in a High Concentration of Lactic Acid

We employed ALE to bolster lactic acid tolerance in d-lactic acid-producing K. pneumoniae. Initially, we investigated the cell growth of the wild-type K. pneumoniae (ATCC25955) in a fermentation medium (Figure 1A). As lactic acid concentrations increased, the proliferation and survival of the wild-type strain gradually diminished (Figure 1B,C). Notably, the colony-forming unit (CFU) analysis revealed that the bacteria had limited survival capacity at a lactic acid concentration of 2.0 g/L (Figure 1C). To improve the lactic acid tolerance of K. pneumoniae, we conducted an adaptation experiment by gradually increasing lactic acid concentrations in the growth medium from 2.0 to 5.1 g/L without pH adjustment (Figure 2A). Subsequently, we isolated eight evolved strains, designated A1, A2, A3, A4, A8, B1, C8, and D3. Remarkably, these evolved strains exhibited significantly improved lactic acid tolerance compared to the wild-type strain (Figure 2B), indicating that the mutants gained additional lactic acid tolerance during adaptive evolution.

3.2. Whole-Genome Sequence Analysis of K. pneumoniae (ATCC25955)

To determine the mutation location of these evolved strains, we sequenced the whole genome of K. pneumoniae (ATCC25955) wild-type for the first time using a Pacbio sequel II and DNBSEQ 2000 platform. To improve the accuracy of the genome sequences, GATK (v1.6-13) was used to make single-base corrections. The complete genome of K. pneumoniae (ATCC25955) consists of a single circular chromosome of 5,107,238 bp with an average GC content of 57.59% (Figure 3A) and contains a circular plasmid with a length of 232,387 bp, with a GC content of 52.70% (Figure 3B). A total of 5076 CDSs, 86 tRNAs, 25 rRNAs, and 53 sRNAs were detected in the genome, and the basic characteristics of the genome are shown in Tables S2 and S3. KEGG (Kyoto Encyclopedia of Genes and Genomes), COG (Clusters of Orthologous Groups), and GO (Gene Ontology) are used for general function annotation. The KEGG metabolic pathway includes human cellular processes, environmental information processing, genetics, human diseases, metabolism, and organismal systems (Figure S1). The largest number of identified genes was classified into metabolism pathways. Among the genes annotated with COG function, the most related genes are involved in metabolism (Figure S2). The molecular functions, cellular components, and biological processes of these genes were elucidated by GO terms, and the genes involved in the biological process were most abundant (Figure S3).

3.3. Genome Resequencing Analysis of Evolved Strains

To understand how the mutants had evolved to acquire enhanced lactic acid tolerance, the genetic alterations in the genomes of the eight mutants were analyzed using a DNBSEQ platform. Comparative analysis of incomplete genome sequences of the eight mutants with that of the wild type identified a total of four single nucleotide polymorphism (SNP) mutations (Table 2), including two intergenic SNP mutations and two SNP mutations in the coding region. All developed strains contain a single SNP at location 464,716 in the genomic region upstream of 23S rDNA. The strains C8 and D3 exhibit an identical SNP mutation in the rcsA-yedD intergenic region. Furthermore, SNP mutations in the coding regions of the glaU and ydhS genes have been detected in the A1 evolved strain, as well as the A2, A3, A4, and A8 evolved strains, respectively (Table 2). These genetic insights provide valuable clues for understanding the adaptive mechanisms that contribute to lactic acid tolerance in K. pneumoniae.

3.4. Intergenic SNP Mutations in Evolved Strains Affect Gene Transcription

To explore the effect of intergenic SNP mutations on the lactic acid tolerance of K. pneumoniae, we first examined the expression of target genes in evolved strains and wild-type strains with or without lactic acid challenge. The qRT-PCR analysis revealed that the transcription levels of 23s rDNA in most evolved strains exhibited a slight decrease compared with the wild-type strain under the lactic acid challenge (Figure 4A). Notably, 23S rRNA plays a critical role in ensuring proper growth and multidrug resistance. Liiv et al. [28] suggested that mutations of 23S rRNA severely limit translation and influence growth to variable degrees. Martini et al. [29] have demonstrated that the deletion of a critical RNase J for 23S rRNA maturation leads to multidrug resistance in Mycobacterium tuberculosis. In addition, an atypical mutation in Neisseria gonorrhoeae 23S rRNA is associated with high-level azithromycin resistance [30]. However, more research is needed to determine whether it contributes to lactic acid resistance.
In addition, the transcription level of the yedD gene in evolved strains C8 and D3 did not present significant differences compared with the starting strain with or without lactic acid challenge, whereas the transcription level of the rcsA gene was much lower (Figure 4B). RcsA, a coregulator of the RCS two-component system, is associated with capsular polysaccharide and biofilm formation and mediates bacterial survival under several stressful conditions [31]. To delve deeper into the impact of the SNP mutation in the rcsA-yedD intergenic region on gene transcription, we constructed a mutant strain with the SNP at position 1780734. Our qRT-PCR analysis revealed that the transcriptional level of rcsA decreased in this SNP mutant strain, regardless of lactic acid stress, when compared to the wild-type (Figure 4C).

3.5. galU Is Associated with Increased Lactic Acid Tolerance

To confirm the relation between the candidate genes and the enhanced lactic acid tolerance of the mutants, a survival assay after the lactic acid challenge was carried out. Given that the evolved strains C8 and D3 had considerably altered rcsA transcription levels in comparison to the wild-type strain, we investigated the potential involvement of rcsA in lactic acid tolerance. Surprisingly, the survival of the ∆rcsA strain did not significantly differ from that of the wild-type strain after the lactic acid challenge (Figure 5A). In summary, although whole-genome sequencing revealed an SNP in the rcsA-yedD intergenic region, this mutant impact on rcsA transcription—whether in the presence or absence of lactic acid stress—may not be exclusively related to lactic acid stress responses.
Moving forward, we explored the effect of SNP mutations within coding regions of the galU and ydhS genes in the evolved strains. Intriguingly, only the deletion of galU dramatically lowered K. pneumoniae’s lactic acid tolerance (Figure 5A). To confirm the function of galU, we performed complementation experiments (Figure 5B), conclusively demonstrating that the galU gene plays a pivotal role in conferring lactic acid resistance of K. pneumoniae. In addition, the qRT-PCR analysis revealed that the transcription levels of galU in evolved strain A1 exhibited a significant increase compared with the wild-type strain regardless of being exposed to the lactic acid challenge (Figure S5). Surprisingly, although galU is essential for bacterial lactic acid tolerance, its overexpression could not contribute to bacterial survival under lactic acid stress and might even create a growth burden due to protein overproduction.
GalU (UTP—glucose-1-phosphate uridylyltransferase) catalyzes the production of UDP-glucose from a UTP molecule and glucose-1-phosphate [32]. GalU and UDP-glucose are required for the manufacture of bacterial glycopolymers, including capsular polysaccharide, teichoic acid, and lipopolysaccharide (LPS), which constitute the fundamental components that determine the characteristics of the bacterial cell surface [33]. Studies have reported that GalU has a crucial role in biofilm formation and cell wall biosynthesis [34,35,36]. Indeed, biofilms can confer cell adaptability to environmental change and higher resistance to adverse conditions, which is a self-protective mechanism for growth [37,38]. Furthermore, the cell wall functions as the main sensory interface that is necessary for interactions with the outside world and survival, and it is involved in resistance mechanisms against multiple environmental stresses [39,40]. GalU has been revealed that it plays a role in many bacteria’s environmental stress responses. For example, Serror et al. [41] discovered that inactivating galU reduces cellular resistance to a variety of stressors, including antibiotics and H2O2. Kurushima et al. [36] demonstrated that galU was essential for enterococcal polysaccharide antigen (EPA) biosynthesis in E. faecalis. Studies have suggested that EPA deficit causes diminished cell surface integrity, which increases sensitivity to antimicrobial agents or several environmental stresses [42,43,44]. Our study sheds light on the novel implication of the galU gene in bacterial lactic acid tolerance. The susceptibility of K. pneumoniae to lactic acid may indeed be linked to impaired envelope and cell wall function mediated by GalU. However, further research is warranted to unravel the precise mechanisms underlying this susceptibility and explore strategies for enhancing lactic acid tolerance in robust lactic acid-producing microorganisms.

3.6. High d-Lactic Acid Production in Evolved Strains

In our previous work, engineered K. pneumonia was constructed by deleting acetate kinase (ackA), alcohol dehydrogenase (adhE), and acetolactic acid synthase (budB). The resultant strain Q2702 produced an extraordinary amount of d-lactic acid from glucose with pH adjustment, which was much higher than that of the wild-type strain, and the optical purity was almost 100% [6]. Building upon this success, we selected A4 and B1 with higher lactic acid resistance along with galU mutation-related strains (designated as A1) as starting strains, then all of them knocked out budB, ackA, and adhE to create three engineered strains: Q5221, Q5224, and Q5227. These strains demonstrated increased tolerance to lactic acid-containing media (Figure 6A). Further testing is needed to evaluate their d-lactic acid production capabilities and overall fitness compared to the starting strains. Indeed, we intend to obtain engineering K. pneumoniae strains that could tolerate both low pH and lactate, resulting in increased lactic acid production without pH adjustment. For example, in our previous study, overexpressing the fabA gene could enhance E. coli tolerance to organic acid environments, leading to higher 3-hydroxypropionate production without pH adjustment [45]. As a result, the need for additional acid and base titrant use will be avoided, thus reducing the overall cost of production. Unfortunately, without pH adjustment, all of our evolved engineered strains (Q5221, Q5224, and Q5227) and Q2702 produced little d-lactic acid, and these strains showed no significant difference in cell growth. However, these engineered strains exhibited equivalent or superior overall growth ability and higher d-lactic acid production compared to the control strain Q2702 with pH adjustment by NH3·H2O (Figure 6B,C). Notably, strain Q5224 stood out, achieving exceptional growth activity and the highest d-lactic acid production of 19.56 g/L in shake flask fermentation (Figure 6B,C). In addition, the wild-type strain was basically unable to produce d-lactic acid (Figure S4), which is consistent with our previous study [6]. Given that the inhibition caused by lactic acid cannot be merely attributed to proton release within the cytoplasm, even though it causes a significant decrease in intracellular pH. The accumulation of the acid anion also has significant effects on cell physiology. Indeed, all engineered strains (Q5221, Q5224, and Q5227) with significantly increased lactic acid tolerance exhibited no difference under hydrogen chloride challenge at the same acid pH (Figure S6). As a consequence, we propose that the evolutionary strains may have developed tolerance to lactate ions rather than low pH. This adaptation enables improved growth and enhanced production in neutral fermentation media with high lactic acid concentrations.
In addition, diverse carbon sources have been employed in d-lactate fermentation, including glucose, glycerol, sweet potato, sugar beet pulp, and corncob slurry. In recent years, studies about engineered Klebsiella pneumonia, Saccharomyces cerevisiae, Escherichia coli, Lactobacillus coryniformis, Pichia kudriavzevii and some other microorganisms for producing d-lactate have been reported. We have compared the d-lactate fermentation capabilities of different strains using different carbon sources in flask fermentation (Table 3). To our knowledge, the production of 19.56 g/L in this study represents the highest d-lactic acid production in flask shake by K. pneumoniae to date. Notably, d-lactic acid fermentation is mainly cultured in a complex medium containing broth or yeast at a relatively high cost. As a result, the high productivity and optical purity of d-lactic in a low-cost, minimal medium in this study indicated that the engineered K. pneumoniae Q5224 is an excellent producer of d-lactate.

4. Conclusions

In our study, we conducted ALE experiments intending to generate new lactic acid-tolerant strains capable of efficiently fermenting d-lactic acid in K. pneumoniae. The results revealed remarkable improvements in lactic acid tolerance in our endpoint strains. Notably, their improved resistance to lactic acid was primarily due to their acquisition of lactate tolerance rather than low pH, which resulted in enhanced d-lactic acid production. Additionally, we identified a novel gene related to lactic acid tolerance, galU. In conclusion, adaptive laboratory evolution has been demonstrated as an effective strategy for enhancing d-lactic acid production. The uncovered tolerance response to high lactic acid concentration, resulting from genetic mutations in the evolved strains, provides valuable guidance for the future engineering of commercial d-lactic acid production.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/microorganisms12061167/s1, Figure S1: Functional classification of KEGG; Figure S2: Functional classification of COG; Figure S3: Functional classification of GO; Figure S4: d-lactic acid and by-products produced of wild-type and Q2702 in shake flask fermentation; Figure S5: The transcription levels of galU in evolved strain A1 and the wild-type strain with or without lactic acid challenge; Figure S6: Hydrogen chloride susceptibility assay of the control strain Q2702 and the engineered strains at the same pH of 3 g/L lactic acid. Table S1: Primers used in this study; Table S2: Gene characteristics of K. pneumoniae (ATCC25955); Table S3: ncRNA characteristics of K. pneumoniae (ATCC25955).

Author Contributions

Z.Z. and G.Z designed the experiments. Z.Z., B.J., J.L. and J.W. performed the experiments. Z.Z. and B.J. analyzed the results. Z.Z. and G.Z. wrote the manuscript. All authors edited the manuscript before submission. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Key Research and Development Program of China (2022YFC2104700), the National Natural Science Foundation of China (32200082, 32370068), State Key Laboratory of Microbial Technology (SKLMTFCP-2023-03, WZCX2021-02), the Distinguished Young Scholars Program of Shandong University (G.Z.), and the Taishan Scholars Program (tstp20231208).

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Materials, further inquiries can be directed to the corresponding authors.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. In, S.; Khunnonkwao, P.; Wong, N.; Phosiran, C.; Jantama, S.S.; Jantama, K. Combining metabolic engineering and evolutionary adaptation in Klebsiella oxytoca KMS004 to significantly improve optically pure D-(-)-lactic acid yield and specific productivity in low nutrient medium. Appl. Microbiol. Biotechnol. 2020, 104, 9565–9579. [Google Scholar] [CrossRef]
  2. Tian, X.; Liu, X.; Zhang, Y.; Chen, Y.; Hang, H.; Chu, J.; Zhuang, Y. Metabolic engineering coupled with adaptive evolution strategies for the efficient production of high-quality L-lactic acid by Lactobacillus paracasei. Bioresour. Technol. 2021, 323, 124549. [Google Scholar] [CrossRef]
  3. Gao, C.; Ma, C.; Xu, P. Biotechnological routes based on lactic acid production from biomass. Biotechnol. Adv. 2011, 29, 930–939. [Google Scholar] [CrossRef]
  4. Klotz, S.; Kaufmann, N.; Kuenz, A.; Prüße, U. Biotechnological production of enantiomerically pure D-lactic acid. Appl. Microbiol. Biotechnol. 2016, 100, 9423–9437. [Google Scholar] [CrossRef]
  5. Paswan, M.; Adhikary, S.; Salama, H.H.; Rusu, A.V.; Zuorro, A.; Dholakiya, B.Z.; Trif, M.; Bhattacharya, S. Microbial Synthesis of Lactic Acid from Cotton Stalk for Polylactic Acid Production. Microorganisms 2023, 11, 1931. [Google Scholar] [CrossRef]
  6. Feng, X.; Jiang, L.; Han, X.; Liu, X.; Zhao, Z.; Liu, H.; Xian, M.; Zhao, G. Production of D-lactate from glucose using Klebsiella pneumoniae mutants. Microb. Cell Factories 2017, 16, 209. [Google Scholar] [CrossRef]
  7. Wu, S.; Zhao, P.; Li, Q.; Tian, P. Intensifying niacin-based biosynthesis of NAD(+) to enhance 3-hydroxypropionic acid production in Klebsiella pneumoniae. Biotechnol. Lett. 2021, 43, 223–234. [Google Scholar] [CrossRef]
  8. Zhou, S.; Huang, Y.; Mao, X.; Li, L.; Guo, C.; Gao, Y.; Qin, Q. Impact of acetolactate synthase inactivation on 1,3-propanediol fermentation by Klebsiella pneumoniae. PLoS ONE 2019, 14, e0200978. [Google Scholar] [CrossRef]
  9. Ahmed, R.M.; Enan, G.; Saed, S.; Askora, A. Hyaluronic acid production by Klebsiella pneumoniae strain H15 (OP354286) under different fermentation conditions. BMC Microbiol. 2023, 23, 295. [Google Scholar] [CrossRef]
  10. Wang, Q.; Jiang, W.; Cai, Y.; Tišma, M.; Baganz, F.; Shi, J.; Lye, G.J.; Xiang, W.; Hao, J. 2-Hydroxyisovalerate production by Klebsiella pneumoniae. Enzym. Microb. Technol. 2024, 172, 110330. [Google Scholar] [CrossRef]
  11. Feng, X.; Ding, Y.; Xian, M.; Xu, X.; Zhang, R.; Zhao, G. Production of optically pure D-lactate from glycerol by engineered Klebsiella pneumoniae strain. Bioresour. Technol. 2014, 172, 269–275. [Google Scholar] [CrossRef]
  12. Rossi, D.M.; de Souza, E.A.; Ayub, M.A. Biodiesel residual glycerol metabolism by Klebsiella pneumoniae: Pool of metabolites under anaerobiosis and oxygen limitation as a function of feeding rates. Appl. Biochem. Biotechnol. 2013, 169, 1952–1964. [Google Scholar] [CrossRef]
  13. van de Guchte, M.; Serror, P.; Chervaux, C.; Smokvina, T.; Ehrlich, S.D.; Maguin, E. Stress responses in lactic acid bacteria. Antonie Van Leeuwenhoek 2002, 82, 187–216. [Google Scholar] [CrossRef]
  14. Mazzoli, R. Current Progress in Production of Building-Block Organic Acids by Consolidated Bioprocessing of Lignocellulose. Fermentation 2021, 7, 248. [Google Scholar] [CrossRef]
  15. Broadbent, J.R.; Larsen, R.L.; Deibel, V.; Steele, J.L. Physiological and transcriptional response of Lactobacillus casei ATCC 334 to acid stress. J. Bacteriol. 2010, 192, 2445–2458. [Google Scholar] [CrossRef]
  16. Lambert, R.J.; Stratford, M. Weak-acid preservatives: Modelling microbial inhibition and response. J. Appl. Microbiol. 1999, 86, 157–164. [Google Scholar] [CrossRef]
  17. Booth, I.R. Regulation of cytoplasmic pH in bacteria. Microbiol. Rev. 1985, 49, 359–378. [Google Scholar] [CrossRef]
  18. Baek, S.H.; Kwon, E.Y.; Bae, S.J.; Cho, B.R.; Kim, S.Y.; Hahn, J.S. Improvement of d-Lactic Acid Production in Saccharomyces cerevisiae Under Acidic Conditions by Evolutionary and Rational Metabolic Engineering. Biotechnol. J. 2017, 12, 1700015. [Google Scholar] [CrossRef]
  19. Carpenter, C.E.; Broadbent, J.R. External concentration of organic acid anions and pH: Key independent variables for studying how organic acids inhibit growth of bacteria in mildly acidic foods. J. Food Sci. 2009, 74, R12–R15. [Google Scholar] [CrossRef]
  20. Roe, A.J.; O’Byrne, C.; McLaggan, D.; Booth, I.R. Inhibition of Escherichia coli growth by acetic acid: A problem with methionine biosynthesis and homocysteine toxicity. Microbiology 2002, 148, 2215–2222. [Google Scholar] [CrossRef]
  21. Sui, X.; Wang, J.; Zhao, Z.; Liu, B.; Liu, M.; Liu, M.; Shi, C.; Feng, X.; Fu, Y.; Shi, D.; et al. Phenolic compounds induce ferroptosis-like death by promoting hydroxyl radical generation in the Fenton reaction. Commun. Biol. 2024, 7, 199. [Google Scholar] [CrossRef]
  22. Mazzoli, R.; Olson, D.G.; Concu, A.M.; Holwerda, E.K.; Lynd, L.R. In vivo evolution of lactic acid hyper-tolerant Clostridium thermocellum. New Biotechnol. 2022, 67, 12–22. [Google Scholar] [CrossRef]
  23. Svetlitchnyi, V.A.; Svetlichnaya, T.P.; Falkenhan, D.A.; Swinnen, S.; Knopp, D.; Läufer, A. Direct conversion of cellulose to l-lactic acid by a novel thermophilic Caldicellulosiruptor strain. Biotechnol. Biofuels Bioprod. 2022, 15, 44. [Google Scholar] [CrossRef]
  24. Edwards, R.A.; Keller, L.H.; Schifferli, D.M. Improved allelic exchange vectors and their use to analyze 987P fimbria gene expression. Gene 1998, 207, 149–157. [Google Scholar] [CrossRef]
  25. Roland, K.; Curtiss, R., 3rd; Sizemore, D. Construction and evaluation of a delta cya delta crp Salmonella typhimurium strain expressing avian pathogenic Escherichia coli O78 LPS as a vaccine to prevent airsacculitis in chickens. Avian Dis. 1999, 43, 429–441. [Google Scholar] [CrossRef]
  26. Zhao, Z.; Xu, Y.; Jiang, B.; Qi, Q.; Tang, Y.J.; Xian, M.; Wang, J.; Zhao, G. Systematic Identification of CpxRA-Regulated Genes and Their Roles in Escherichia coli Stress Response. mSystems 2022, 7, e0041922. [Google Scholar] [CrossRef]
  27. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  28. Liiv, A.; Karitkina, D.; Maiväli, U.; Remme, J. Analysis of the function of E. coli 23S rRNA helix-loop 69 by mutagenesis. BMC Mol. Biol. 2005, 6, 18. [Google Scholar] [CrossRef]
  29. Martini, M.C.; Hicks, N.D.; Xiao, J.; Alonso, M.N.; Barbier, T.; Sixsmith, J.; Fortune, S.M.; Shell, S.S. Loss of RNase J leads to multi-drug tolerance and accumulation of highly structured mRNA fragments in Mycobacterium tuberculosis. PLoS Pathog. 2022, 18, e1010705. [Google Scholar] [CrossRef]
  30. Pham, C.D.; Nash, E.; Liu, H.; Schmerer, M.W.; Sharpe, S.; Woods, G.; Roland, B.; Schlanger, K.; St Cyr, S.B.; Carlson, J.; et al. Atypical Mutation in Neisseria gonorrhoeae 23S rRNA Associated with High-Level Azithromycin Resistance. Antimicrob. Agents Chemother. 2021, 65, e00885-20. [Google Scholar] [CrossRef]
  31. Navasa, N.; Ferrero, M.; Rodríguez-Aparicio, L.B.; Monteagudo-Mera, A.; Gutiérrez, S.; Martínez-Blanco, H. The role of RcsA in the adaptation and survival of Escherichia coli K92. FEMS Microbiol. Lett. 2019, 366, fnz082. [Google Scholar] [CrossRef]
  32. Bonofiglio, L.; García, E.; Mollerach, M. Biochemical Characterization of the Pneumococcal Glucose 1-Phosphate Uridylyltransferase (GalU) Essential for Capsule Biosynthesis. Curr. Microbiol. 2005, 51, 217–221. [Google Scholar] [CrossRef]
  33. Berbís, M.; Sánchez-Puelles, J.M.; Cañada, F.J.; Jiménez-Barbero, J. Structure and Function of Prokaryotic UDP-Glucose Pyrophosphorylase, A Drug Target Candidate. Curr. Med. Chem. 2015, 22, 1687–1697. [Google Scholar] [CrossRef]
  34. Zou, Y.; Feng, S.; Xu, C.; Zhang, B.; Zhou, S.; Zhang, L.; He, X.; Li, J.; Yang, Z.; Liao, M. The role of galU and galE of Haemophilus parasuis SC096 in serum resistance and biofilm formation. Vet. Microbiol. 2013, 162, 278–284. [Google Scholar] [CrossRef]
  35. Guo, L.; Dai, H.; Feng, S.; Zhao, Y. Contribution of GalU to biofilm formation, motility, antibiotic and serum resistance, and pathogenicity of Salmonella Typhimurium. Front. Cell. Infect. Microbiol. 2023, 13, 1149541. [Google Scholar] [CrossRef]
  36. Kurushima, J.; Tomita, H. Inactivation of GalU Leads to a Cell Wall-Associated Polysaccharide Defect That Reduces the Susceptibility of Enterococcus faecalis to Bacteriolytic Agents. Appl. Environ. Microbiol. 2021, 87, e02875-20. [Google Scholar] [CrossRef]
  37. Gambino, M.; Cappitelli, F. Mini-review: Biofilm responses to oxidative stress. Biofouling 2016, 32, 167–178. [Google Scholar] [CrossRef]
  38. Yin, W.; Wang, Y.; Liu, L.; He, J. Biofilms: The Microbial “Protective Clothing” in Extreme Environments. Int. J. Mol. Sci. 2019, 20, 3423. [Google Scholar] [CrossRef]
  39. Martínez, B.; Rodríguez, A.; Kulakauskas, S.; Chapot-Chartier, M.P. Cell wall homeostasis in lactic acid bacteria: Threats and defences. FEMS Microbiol. Rev. 2020, 44, 538–564. [Google Scholar] [CrossRef]
  40. Cao, L.; Liang, D.; Hao, P.; Song, Q.; Xue, E.; Caiyin, Q.; Cheng, Z.; Qiao, J. The increase of O-acetylation and N-deacetylation in cell wall promotes acid resistance and nisin production through improving cell wall integrity in Lactococcus lactis. J. Ind. Microbiol. Biotechnol. 2018, 45, 813–825. [Google Scholar] [CrossRef]
  41. Rigottier-Gois, L.; Alberti, A.; Houel, A.; Taly, J.F.; Palcy, P.; Manson, J.; Pinto, D.; Matos, R.C.; Carrilero, L.; Montero, N.; et al. Large-scale screening of a targeted Enterococcus faecalis mutant library identifies envelope fitness factors. PLoS ONE 2011, 6, e29023. [Google Scholar] [CrossRef]
  42. Dale Jennifer, L.; Cagnazzo, J.; Phan Chi, Q.; Barnes Aaron, M.T.; Dunny Gary, M. Multiple Roles for Enterococcus faecalis Glycosyltransferases in Biofilm-Associated Antibiotic Resistance, Cell Envelope Integrity, and Conjugative Transfer. Antimicrob. Agents Chemother. 2015, 59, 4094–4105. [Google Scholar] [CrossRef]
  43. Korir Michelle, L.; Dale Jennifer, L.; Dunny Gary, M. Role of epaQ, a Previously Uncharacterized Enterococcus faecalis Gene, in Biofilm Development and Antimicrobial Resistance. J. Bacteriol. 2019, 201, e00078-19. [Google Scholar] [CrossRef]
  44. Chatterjee, A.; Johnson Cydney, N.; Luong, P.; Hullahalli, K.; McBride Sara, W.; Schubert Alyxandria, M.; Palmer Kelli, L.; Carlson Paul, E.; Duerkop Breck, A. Bacteriophage Resistance Alters Antibiotic-Mediated Intestinal Expansion of Enterococci. Infect. Immun. 2019, 87, e00085-19. [Google Scholar] [CrossRef]
  45. Xu, Y.; Zhao, Z.; Tong, W.; Ding, Y.; Liu, B.; Shi, Y.; Wang, J.; Sun, S.; Liu, M.; Wang, Y.; et al. An acid-tolerance response system protecting exponentially growing Escherichia coli. Nat. Commun. 2020, 11, 1496. [Google Scholar] [CrossRef]
  46. Wang, J.; Sui, X.; Ding, Y.; Fu, Y.; Feng, X.; Liu, M.; Zhang, Y.; Xian, M.; Zhao, G. A fast and robust iterative genome-editing method based on a Rock-Paper-Scissors strategy. Nucleic Acids Res. 2021, 49, e12. [Google Scholar] [CrossRef]
  47. Watcharawipas, A.; Sae-tang, K.; Sansatchanon, K.; Sudying, P.; Boonchoo, K.; Tanapongpipat, S.; Kocharin, K.; Runguphan, W. Systematic engineering of Saccharomyces cerevisiae for D-lactic acid production with near theoretical yield. FEMS Yeast Res. 2021, 21, foab024. [Google Scholar] [CrossRef]
  48. Yamada, R.; Wakita, K.; Mitsui, R.; Ogino, H. Enhanced d-lactic acid production by recombinant Saccharomyces cerevisiae following optimization of the global metabolic pathway. Biotechnol. Bioeng. 2017, 114, 2075–2084. [Google Scholar] [CrossRef]
  49. Zhou, L.; Niu, D.D.; Tian, K.M.; Chen, X.Z.; Prior, B.A.; Shen, W.; Shi, G.Y.; Singh, S.; Wang, Z.X. Genetically switched D-lactate production in Escherichia coli. Metab. Eng. 2012, 14, 560–568. [Google Scholar] [CrossRef]
  50. Alexandri, M.; Hübner, D.; Schneider, R.; Fröhling, A.; Venus, J. Towards efficient production of highly optically pure d-lactic acid from lignocellulosic hydrolysates using newly isolated lactic acid bacteria. New Biotechnol. 2022, 72, 1–10. [Google Scholar] [CrossRef]
  51. Zaini, N.; Chatzifragkou, A.; Charalampopoulos, D. Microbial production of d-lactic acid from dried distiller’s grains with solubles. Eng. Life Sci. 2019, 19, 21–30. [Google Scholar] [CrossRef]
  52. Sansatchanon, K.; Sudying, P.; Promdonkoy, P.; Kingcha, Y.; Visessanguan, W.; Tanapongpipat, S.; Runguphan, W.; Kocharin, K. Development of a Novel D-Lactic Acid Production Platform Based on Lactobacillus saerimneri TBRC 5746. J. Microbiol. 2023, 61, 853–863. [Google Scholar] [CrossRef]
  53. Park, H.J.; Bae, J.H.; Ko, H.J.; Lee, S.H.; Sung, B.H.; Han, J.I.; Sohn, J.H. Low-pH production of d-lactic acid using newly isolated acid tolerant yeast Pichia kudriavzevii NG7. Biotechnol. Bioeng. 2018, 115, 2232–2242. [Google Scholar] [CrossRef]
  54. Qiu, Z.; Han, X.; He, J.; Jiang, Y.; Wang, G.; Wang, Z.; Liu, X.; Xia, J.; Xu, N.; He, A.; et al. One-pot d-lactic acid production using undetoxified acid-pretreated corncob slurry by an adapted Pediococcus acidilactici. Bioresour. Technol. 2022, 363, 127993. [Google Scholar] [CrossRef]
Figure 1. Lactic acid tolerance of K. pneumoniae (ATCC25955) wild-type. (A) The cell growth of K. pneumoniae (ATCC25955) wild-type in lactic acid fermentation medium. (B) The cell growth of K. pneumoniae (ATCC25955) wild-type in a lactic acid fermentation medium supplied with indicated concentrations of lactic acid. (C) The cell survival of K. pneumoniae (ATCC25955) wild-type in lactic acid fermentation medium supplied with indicated concentrations of lactic acid. Error bars indicate the standard deviations of three independent experiments.
Figure 1. Lactic acid tolerance of K. pneumoniae (ATCC25955) wild-type. (A) The cell growth of K. pneumoniae (ATCC25955) wild-type in lactic acid fermentation medium. (B) The cell growth of K. pneumoniae (ATCC25955) wild-type in a lactic acid fermentation medium supplied with indicated concentrations of lactic acid. (C) The cell survival of K. pneumoniae (ATCC25955) wild-type in lactic acid fermentation medium supplied with indicated concentrations of lactic acid. Error bars indicate the standard deviations of three independent experiments.
Microorganisms 12 01167 g001aMicroorganisms 12 01167 g001b
Figure 2. Adaptive laboratory evolution enhances lactic acid tolerance of K. pneumoniae. (A) ALE of strain K. pneumoniae (ATCC25955) in lactic acid fermentation medium supplemented with increasing concentrations of LA from 2.0 g/L to 5.1 g/L. (B) lactic acid susceptibility assay for the K. pneumoniae (ATCC25955) wild-type strain and eight evolved strains after lactic acid challenge at 0 or 3.0 g/L for 4 h. The corresponding survival of K. pneumoniae (ATCC25955) wild-type strain was used as the control. Statistical analysis was performed using a two-tailed Student’s t-test (*** p < 0.001, **** p < 0.0001).
Figure 2. Adaptive laboratory evolution enhances lactic acid tolerance of K. pneumoniae. (A) ALE of strain K. pneumoniae (ATCC25955) in lactic acid fermentation medium supplemented with increasing concentrations of LA from 2.0 g/L to 5.1 g/L. (B) lactic acid susceptibility assay for the K. pneumoniae (ATCC25955) wild-type strain and eight evolved strains after lactic acid challenge at 0 or 3.0 g/L for 4 h. The corresponding survival of K. pneumoniae (ATCC25955) wild-type strain was used as the control. Statistical analysis was performed using a two-tailed Student’s t-test (*** p < 0.001, **** p < 0.0001).
Microorganisms 12 01167 g002aMicroorganisms 12 01167 g002b
Figure 3. Visualization of K. pneumoniae (ATCC25955) whole-genome Sequence by using Circos (v 0.69-8). (A) The genome of circular chromosome (5,107,238 bp) in K. pneumoniae (ATCC25955). It shows several layers, starting from the outer layer representing the genome size, the forward strand gene, the reverse strand gene, the forward strand ncRNA, the reverse strand ncRNA, the repeat, GC, and GC-SKEW. (B) The genome of circular plasmid (232,387 bp) in K. pneumoniae (ATCC25955). It shows several layers, starting from the outer layer representing the genome size, the forward strand gene, the reverse strand gene, GC, and GC-SKEW.
Figure 3. Visualization of K. pneumoniae (ATCC25955) whole-genome Sequence by using Circos (v 0.69-8). (A) The genome of circular chromosome (5,107,238 bp) in K. pneumoniae (ATCC25955). It shows several layers, starting from the outer layer representing the genome size, the forward strand gene, the reverse strand gene, the forward strand ncRNA, the reverse strand ncRNA, the repeat, GC, and GC-SKEW. (B) The genome of circular plasmid (232,387 bp) in K. pneumoniae (ATCC25955). It shows several layers, starting from the outer layer representing the genome size, the forward strand gene, the reverse strand gene, GC, and GC-SKEW.
Microorganisms 12 01167 g003
Figure 4. Intergenic SNP mutations in evolved strains affect gene transcription. (A) The impact of mutations in evolved strains on transcription of 23s rRNA with or without lactic acid challenge. (B) The impact of mutations in C8 and D3 on the transcription of rcsA and yedD with or without lactic acid challenge. (C) The impact of the SNP mutation in the rcsA-yedD intergenic region on transcription of rcsA with or without lactic acid challenge.
Figure 4. Intergenic SNP mutations in evolved strains affect gene transcription. (A) The impact of mutations in evolved strains on transcription of 23s rRNA with or without lactic acid challenge. (B) The impact of mutations in C8 and D3 on the transcription of rcsA and yedD with or without lactic acid challenge. (C) The impact of the SNP mutation in the rcsA-yedD intergenic region on transcription of rcsA with or without lactic acid challenge.
Microorganisms 12 01167 g004aMicroorganisms 12 01167 g004b
Figure 5. galU is implicated in the lactic acid tolerance of K. pneumoniae. (A) Lactic acid susceptibility of wild-type and ∆rcsA, ∆ydhS, ∆galU strains after stimulation with or without 3 g/L lactic acid for 4 h (n = 3 biologically independent samples). (B) Lactic acid susceptibility assay of K. pneumoniae (ATCC25955) carrying empty vector or pgalU and ∆galU mutant carrying empty vector or pgalU strains after stimulation with or without 3 g/L lactic acid for 4 h. Statistical analysis was performed using a two-tailed Student’s t-test.
Figure 5. galU is implicated in the lactic acid tolerance of K. pneumoniae. (A) Lactic acid susceptibility of wild-type and ∆rcsA, ∆ydhS, ∆galU strains after stimulation with or without 3 g/L lactic acid for 4 h (n = 3 biologically independent samples). (B) Lactic acid susceptibility assay of K. pneumoniae (ATCC25955) carrying empty vector or pgalU and ∆galU mutant carrying empty vector or pgalU strains after stimulation with or without 3 g/L lactic acid for 4 h. Statistical analysis was performed using a two-tailed Student’s t-test.
Microorganisms 12 01167 g005
Figure 6. Lactic acid susceptibility assay, cell growth, and d-lactic acid production in shake flask fermentation. (A) Lactic acid susceptibility assay of the control strain Q2702 and the engineered strains in the fermentation media after stimulation with or without 3 g/L lactic acid for 2 h (* p < 0.1, ** p < 0.01). (B) Growth curves of the control strain Q2702 and the engineered strains acquired in this study with glucose as the carbon source. (C) d-lactic acid and by-products produced in shake flask fermentation.
Figure 6. Lactic acid susceptibility assay, cell growth, and d-lactic acid production in shake flask fermentation. (A) Lactic acid susceptibility assay of the control strain Q2702 and the engineered strains in the fermentation media after stimulation with or without 3 g/L lactic acid for 2 h (* p < 0.1, ** p < 0.01). (B) Growth curves of the control strain Q2702 and the engineered strains acquired in this study with glucose as the carbon source. (C) d-lactic acid and by-products produced in shake flask fermentation.
Microorganisms 12 01167 g006
Table 2. Mutations of evolved strains identified by genome sequencing.
Table 2. Mutations of evolved strains identified by genome sequencing.
Gene IDGene NameProtein DescriptionPositionNucleotide
Alteration
Amino Acid AlterationStrain
GL000448-hypothetical protein464716C→TIntergenic SNP mutationA1, A2, A3, A4, A8, B1, C8, D3
GL000449-hypothetical protein
GL001697rcsAtranscriptional regulator RcsA1780734A→GIntergenic SNP mutationC8, D3
GL001698yedDlipoprotein
GL001910galUUTP-glucose-1-phosphate uridylyltransferase GalU2002430C→AA→EA1
GL002357ydhSFAD-NAD(P)-binding protein2455010C→AP→QA2, A3, A4, A8, B1
Table 3. Comparison of d-lactate production by different strains using different carbon sources in flask fermentation.
Table 3. Comparison of d-lactate production by different strains using different carbon sources in flask fermentation.
OrganismMinimal MediumCarbon Sourced-Lactic Acid Production (g/L)Optical Purity (%)References
Klebsiella pneumoniaeYesGlucose19.56~100This study
Klebsiella pneumoniaeNoGlucose14.08~100[46]
Klebsiella pneumoniaeNoGlycerol8.33~100[11]
Saccharomyces cerevisiaeYesGlucose17.09~100[47]
Saccharomyces cerevisiaeNoGlucose11.14~100[48]
Escherichia coliNoGlucose16.20NA[49]
Lactobacillus coryniformisNoSugar beet pulp19.3099.5[50]
Lactobacillus coryniformisNoGlucose19.70~100[51]
Lactobacillus saerimneriNoSucrose~15.00NA[52]
LeuconostocNoSugar beet pulp14.0093.9[50]
Pichia kudriavzeviiNoGlucose62.00NA[53]
Pediococcus acidilacticiNoCorncob slurry61.90NA[54]
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Jiang, B.; Liu, J.; Wang, J.; Zhao, G.; Zhao, Z. Adaptive Evolution for the Efficient Production of High-Quality d-Lactic Acid Using Engineered Klebsiella pneumoniae. Microorganisms 2024, 12, 1167. https://doi.org/10.3390/microorganisms12061167

AMA Style

Jiang B, Liu J, Wang J, Zhao G, Zhao Z. Adaptive Evolution for the Efficient Production of High-Quality d-Lactic Acid Using Engineered Klebsiella pneumoniae. Microorganisms. 2024; 12(6):1167. https://doi.org/10.3390/microorganisms12061167

Chicago/Turabian Style

Jiang, Bo, Jiezheng Liu, Jingnan Wang, Guang Zhao, and Zhe Zhao. 2024. "Adaptive Evolution for the Efficient Production of High-Quality d-Lactic Acid Using Engineered Klebsiella pneumoniae" Microorganisms 12, no. 6: 1167. https://doi.org/10.3390/microorganisms12061167

APA Style

Jiang, B., Liu, J., Wang, J., Zhao, G., & Zhao, Z. (2024). Adaptive Evolution for the Efficient Production of High-Quality d-Lactic Acid Using Engineered Klebsiella pneumoniae. Microorganisms, 12(6), 1167. https://doi.org/10.3390/microorganisms12061167

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