Deletion of LsSNF1 enhances lipid accumulation in the oleaginous yeast Lipomyces starkeyi.

The oleaginous yeast, Lipomyces starkeyi can have diverse industrial applications due to its remarkable capacity to use various carbon sources for the biosynthesis intracellular triacylglycerides (TAGs). In L. starkeyi, TAG synthesis is enhanced through upregulation of genes involved in citrate-mediated acyl-CoA synthesis and Kennedy pathways through the transcriptional regulator LsSpt23p. High expression of LsSPT23 can considerably enhance TAG production. Altering the regulatory factors associated with lipid production can substantially augment lipid productivity. In this study, we identified and examined the L. starkeyi homolog sucrose nonfermenting 1 SNF1 (LsSNF1) of YlSNF1, which encodes a negative regulator of lipid biosynthesis in the oleaginous yeast Yarrowia lipolytica. The deletion of LsSNF1 enhanced TAG productivity in L. starkeyi, suggesting that LsSnf1p is a negative regulator in TAG production. The enhancement of TAG production following deletion of LsSNF1 can primarily be attributed to the upregulation of genes in the citrate-mediated acyl-CoA synthesis and Kennedy pathways, pivotal routes in TAG biosynthesis. The overexpression of LsSPT23 enhanced lipid productivity; strain overexpressing LsSPT23 and without LsSNF1 exhibited increased TAG production capacity per cell. LsSnf1p also has a significant role in the utilization of carbon sources, including xylose or glycerol, in L. starkeyi. Our study results elucidated the role of LsSnf1p in the negative regulation of TAG synthesis in L. starkeyi, which has not previously been reported.

Ultrahigh-throughput screening of Trichoderma reesei strains capable of carbon catabolite repression release and cellulase hyperproduction using a microfluidic droplet platform.

Trichoderma reesei is the most well-known cellulase producer in the biorefinery industry. Its cellulase biosynthesis is repressed by glucose via carbon catabolite repression (CCR), making CCR-releasing strains with cellulase hyperproduction desirable. Here, we employed a microfluidic droplet platform to culture and screen T. reesei mutants capable of CCR release and cellulase overproduction from extensive mutagenesis libraries. With 3 mutagenesis rounds, about 6.20 × 103 droplets were sorted from a population of 1.51 × 106 droplets in a period of 4.4 h; 76 recovery mutants were screened on flask fermentation, and 2 glucose uptake retarded mutants, MG-9-3 and MG-9-3-30, were eventually isolated. We also generated a hypercellulase producer, M-5, with CCR release via a single mutagenesis round. The hyphal morphology and molecular mechanisms in the mutants were analyzed. This versatile approach combined with a comprehensive understanding of CCR release mechanisms will provide innovative and effective strategies for low-cost cellulase production.

A microfluidic device for simultaneous detection of enzyme secretion and elongation of a single hypha.

Filamentous fungi grow through elongation of their apical region by exocytosis and secrete enzymes that can be of commercial or industrial importance. Their hyphae exhibit extensive branching, making it difficult to control hyphal growth for observation and analysis. Therefore, although hyphal morphology and productivity are closely related, the relationship between the two has not yet been clarified. Conventional morphology and productivity studies have only compared the results of macro imaging of fungal pellets cultured in bulk with the averaged products in the culture medium. Filamentous fungi are multicellular and their expression differs between different hyphae. To truly understand the relationship between morphology and productivity, it is necessary to compare the morphology and productivity of individual hyphae. To achieve this, we developed a microfluidic system that confines hyphae to individual channels for observation and investigated the relationship between their growth, morphology, and enzyme productivity. Furthermore, using Trichoderma reesei, a potent cellulase-producing fungus, as a model, we developed a cellulase detection assay with 4-MUC substrate to detect hyphal growth and enzyme secretion in a microfluidic device in real time. Using a strain that expresses cellobiohydrolase I (CBH I) fused with AcGFP1, we compared fluorescence from the detection assay with GFP fluorescence intensity, which showed a strong correlation between the two. These results indicate that extracellular enzymes can be easily detected in the microfluidic device in real time because the production of cellulase is synchronized in T. reesei. This microfluidic system enables real-time visualization of the dynamics of hypha and enzymes during carbon source exchange and the quantitative dynamics of gene expression. This technology can be applied to many biosystems from bioenergy production to human health.

LsSpt23p is a regulator of triacylglycerol synthesis in the oleaginous yeast Lipomyces starkeyi.

The oleaginous yeast Lipomyces starkeyi has considerable potential in industrial application, since it can accumulate a large amount of triacylglycerol (TAG), which is produced from sugars under nitrogen limitation condition. However, the regulation of lipogenesis in L. starkeyi has not been investigated in depth. In this study, we compared the genome sequences of wild-type and mutants with increased TAG productivity, and identified a regulatory protein, LsSpt23p, which contributes to the regulation of TAG synthesis in L. starkeyi. L. starkeyi mutants overexpressing LsSPT23 had increased TAG productivity compared with the wild-type strain. Quantitative real-time PCR analysis showed that LsSpt23p upregulated the expression of GPD1, which encodes glycerol 3-phosphate dehydrogenase; the Kennedy pathway genes SCT1, SLC1, PAH1, DGA1, and DGA2; the citrate-mediated acyl-CoA synthesis pathway-related genes ACL1, ACL2, ACC1, FAS1, and FAS2; and OLE1, which encodes ∆9 fatty acid desaturase. Chromatin immunoprecipitation-quantitative PCR assays indicated that LsSpt23p acts as a direct regulator of SLC1 and PAH1, all the citrate-mediated acyl-CoA synthesis pathway-related genes, and OLE1. These results indicate that LsSpt23p regulates TAG synthesis. Phosphatidic acid is a common substrate of phosphatidic acid phosphohydrolase, which is used for TAG synthesis, and phosphatidate cytidylyltransferase 1 for phospholipid synthesis in the Kennedy pathway. LsSpt23p directly regulated PAH1 but did not affect the expression of CDS1, suggesting that the preferred route of carbon is the Pah1p-mediated TAG synthesis pathway under nitrogen limitation condition. The present study contributes to understanding the regulation of TAG synthesis, and will be valuable in future improvement of TAG productivity in oleaginous yeasts. KEY POINTS: LsSpt23p was identified as a positive regulator of TAG biosynthesis LsSPT23 overexpression enhanced TAG biosynthesis gene expression and TAG production LsSPT23M1108T overexpression mutant showed fivefold higher TAG production than control.

Prediction of ethanol fermentation under stressed conditions using yeast morphological data.

A high sugar concentration is used as a starting condition in alcoholic fermentation by budding yeast, which shows changes in intracellular state and cell morphology under conditions of high-sugar stress. In this study, we developed artificial intelligence (AI) models to predict ethanol yields in yeast fermentation cultures under conditions of high-sugar stress using cell morphological data. Our method involves the extraction of high-dimensional morphological data from phase contrast images using image processing software, and predicting ethanol yields by supervised machine learning. The neural network algorithm produced the best performance, with a coefficient of determination (R2) of 0.95, and could predict ethanol yields well even 60 min in the future. Morphological data from cells cultured in low-glucose medium could not be used for accurate prediction under conditions of high-glucose stress. Cells cultured in high-concentration glucose medium were similar in terms of morphology to cells cultured under high osmotic pressure. Feeding experiments revealed that morphological changes differed depending on the fermentation phase. By monitoring the morphology of yeast under stress, it was possible to understand the intracellular physiological conditions, suggesting that analysis of cell morphology can aid the management and stable production of desired biocommodities.

The monitoring of oil production process by deep learning based on morphology in oleaginous yeasts.

BACKGROUND: Monitoring jar fermenter-cultured microorganisms in real time is important for controlling productivity of bioproducts in large-scale cultivation settings. Morphological data is used to understand the growth and fermentation states of these microorganisms during monitoring. Oleaginous yeasts are used for their high productivity of single-cell oils but the relationship between lipid productivity and morphology has not been elucidated in these organisms. RESULTS: In this study, we investigated the relationship between the morphology of oleaginous yeasts (Lipomyces starkeyi and Rhodosporidium toruloides were used) and their cultivation state in a large-scale cultivation setting using a real-time monitoring system. We combined this with deep learning by feeding a large amount of high-definition cell images obtained from the monitoring system to a deep learning algorithm. Our results showed that the cell images could be grouped into 7 distinct groups and that a strong correlation existed between each group and its biochemical activity (growth and oil-productivity). CONCLUSIONS: This is the first report describing the morphological variations of oleaginous yeasts in a large-scale cultivation, and describes a promising new avenue for improving productivity of microorganisms in large-scale cultivation through the use of a real-time monitoring system combined with deep learning. KEY POINTS: • A real-time monitoring system followed the morphological change of oleaginous yeasts. • Deep learning grouped them into 7 distinct groups based on their morphology. • A correlation between the cultivation state and the shape of the yeast was observed.

A novel high-throughput approach for transforming filamentous fungi employing a droplet-based microfluidic platform.

Droplet-based microfluidic technology is a powerful tool for single-cell cultivation and rapid isolation of bacteria, yeasts and algae. However, it has been of limited use for studies of filamentous fungi due to the fast growth of their branched hyphae. The long regeneration time for fungal protoplasts and low-throughput screening methods are inherent problems for current genetic transformation techniques. Therefore, we have developed a novel droplet-based method for the filamentous fungus Trichoderma reesei expressing green fluorescent protein (GFP) as a marker. This approach presented several outstanding advantages over the traditional transformation method, including a 7-fold reduction in time for T. reesei protoplast regeneration, an 8-fold increase in regeneration frequency, and a screening speed of up to 8,000 droplets min-1. In this study, we encapsulated and incubated the gfp-transformed T. reesei protoplasts in droplets for 24 h, screened the droplets in a high-throughput assay, and eventually collected a transformant library with over 96 % of the candidates transformed with the marker gene. This versatile approach should make fungi more amenable to genetic manipulation and encourage strain improvements for industrial applications.

Using gel microdroplets to develop a simple high-throughput screening platform for oleaginous microorganisms.

The oleaginous yeast Lipomyces starkeyi is expected to be a new lipid source since this microorganism is capable of accumulating more than 85% lipid per dry cell weight. For effective utilization of oleaginous yeast, mutants with improved lipid production compared to the wild-type have been screened by methods such as single-cell sorting and Percoll density gradient centrifugation. Because these methods need to reculture all mutated oleaginous yeasts together in a flask, it is difficult to evaluate the growth of each individual mutant. Thus, screening for the slow-growing mutants with high-throughput has never been performed by conventional methods. In this study, we developed a high-throughput method using gel microdroplets (GMD). With this method, the growth and lipid production of L. starkeyi can be evaluated simultaneously. L. starkeyi grew in GMD and the size of these microcolonies was evaluated by scattered light. Finally, a mutant with a 10-fold delay in growth compared to the wild-type was obtained. Analysis of genetic information in this mutant could reveal valuable information about critical genes involved in the growth of these microorganisms, which could then be utilized further.

A real-time monitoring system for automatic morphology analysis of yeast cultivation in a jar fermenter.

The monitoring of microbial cultivation in real time and controlling their cultivation aid in increasing the production yield of useful material in a jar fermenter. Common sensors such as dissolved oxygen (DO) and pH can easily provide general-purpose indexes but do not reveal the physiological states of microbes because of the complexity of measuring them in culture conditions. It is well known from microscopic observations that the microbial morphology changes in response to the intracellular state or extracellular environment. Recently, studies have focused on rapid and quantitative image analysis techniques using machine learning or deep learning for gleaning insights into the morphological, physiological or gene expression information in microbes. During image analysis, it is necessary to retrieve high-definition images to analyze the microbial morphology in detail. In this study, we have developed a microfluidic device with a high-speed camera for the microscopic observation of yeast, and have constructed a system capable of generating their morphological information in real-time and at high definition. This system was connected to a jar fermenter, which enabled the automatic sampling for monitoring the cultivation. We successfully acquired high-definition images of over 10,000 yeast cells in about 2.2 s during ethanol fermentation automatically for over 168 h. We recorded 33,600 captures containing over 1,680,000 cell images. By analyzing these images, the morphological changes of yeast cells through ethanol fermentation could be captured, suggesting the expansion of the application of this system in controlling microbial fermentation using the morphological information generated. KEY POINTS: • Enables real-time visualization of microbes in a jar fermenter using microscopy. • Microfluidic device for acquiring high-definition images. • Generates a large amount of image data by using a high-speed camera.

7-Aminocoumarin-4-acetic Acid as a Fluorescent Probe for Detecting Bacterial Dipeptidyl Peptidase Activities in Water-in-Oil Droplets and in Bulk.

Droplet-based microfluidic systems are a powerful tool for biological assays with high throughput. Water-in-oil droplets (WODLs) are typically used in droplet-based microfluidic systems to culture microorganisms and perform enzyme assays. However, because of the oil surrounding the nanoliter and picoliter volumes of WODLs, availability of suitable substrates is limited. For instance, although 7-amino-4-methylcoumarin (AMC) is commonly used as a fluorescent probe of the substrate to detect peptidase activity, AMC leaks from WODLs to the oil phase due to its high hydrophobicity. Thus, AMC substrates cannot be used in droplet-based microfluidic systems with WODLs. In this study, we developed a peptidase substrate consisting of a dipeptide and 7-aminocoumarin-4-acetic acid (ACA), an AMC-derived fluorogenic compound. ACA was retained in the WODL for more than 7 days, and the dipeptidyl ACA substrate detected dipeptidyl peptidase (DPP) activity in the WODL. Compared to AMC substrates, the substrate specificity constants of DPPs for ACA substrates increased up to 4.7-fold. Fluorescence-activated droplet sorting made high-throughput screening of microorganisms based on DPP activity using the dipeptidyl ACA substrate possible. Since ACA could be applied to various substrates as a fluorescent probe, detectable microbial enzyme activities for droplet-based microfluidic systems can be largely expanded.

AI-based forecasting of ethanol fermentation using yeast morphological data.

Several industries require getting information of products as soon as possible during fermentation. However, the trade-off between sensing speed and data quantity presents challenges for forecasting fermentation product yields. In this study, we tried to develop AI models to forecast ethanol yields in yeast fermentation cultures, using cell morphological data. Our platform involves the quick acquisition of yeast morphological images using a nonstaining protocol, extraction of high-dimensional morphological data using image processing software, and forecasting of ethanol yields via supervised machine learning. We found that the neural network algorithm produced the best performance, which had a coefficient of determination of >0.9 even at 30 and 60 min in the future. The model was validated using test data collected using the CalMorph-PC(10) system, which enables rapid image acquisition within 10 min. AI-based forecasting of product yields based on cell morphology will facilitate the management and stable production of desired biocommodities.

Analysis of the light regulatory mechanism in carotenoid production in Rhodosporidium toruloides NBRC 10032.

Light stimulates carotenoid production in an oleaginous yeast Rhodosporidium toruloides NBRC 10032 by promoting carotenoid biosynthesis genes. These genes undergo two-step transcriptional activation. The potential light regulator, Cryptochrome DASH (CRY1), has been suggested to contribute to this mechanism. In this study, based on KU70 (a component of nonhomologous end joining (NHEJ)) disrupting background, CRY1 disruptant was constructed to clarify CRY1 function. From analysis of CRY1 disruptant, it was suggested that CRY1 has the activation role of the carotenogenic gene expression. To obtain further insights into the light response, mutants varying carotenoid production were generated. Through analysis of mutants, the existence of the control two-step gene activation was proposed. In addition, our data analysis showed the strong possibility that R. toruloides NBRC 10032 is a homo-diploid strain.

Structural basis for an exceptionally strong preference for asparagine residue at the S2 subsite of Stenotrophomonas maltophilia dipeptidyl peptidase 7.

The emergence of drug-resistant bacteria has become a major problem worldwide. Bacterial dipeptidyl peptidases 7 and 11 (DPP7s and DPP11s), belonging to the family-S46 peptidases, are important enzymes for bacterial growth and are not present in mammals. Therefore, specific inhibitors for these peptidases are promising as potential antibiotics. While the molecular mechanisms underlining strict specificity at the S1 subsite of S46 peptidases have been well studied, those of relatively broad preference at the S2 subsite of these peptidases are unknown. In this study, we performed structural and biochemical analyses on DPP7 from Stenotrophomonas maltophilia (SmDPP7). SmDPP7 showed preference for the accommodation of hydrophobic amino acids at the S2 subsite in general, but as an exception, also for asparagine, a hydrophilic amino acid. Structural analyses of SmDPP7 revealed that this exceptional preference to asparagine is caused by a hydrogen bonding network at the bottom of the S2 subsite. The residues in the S2 subsite are well conserved among S46 peptidases as compared with those in the S1 subsite. We expect that our findings will contribute toward the development of a universal inhibitor of S46 peptidases.

Isolation and characterization of Lipomyces starkeyi mutants with greatly increased lipid productivity following UV irradiation.

The oleaginous yeast Lipomyces starkeyi is an intriguing lipid producer that can produce triacylglycerol (TAG), a feedstock for biodiesel production. We previously reported that the L. starkeyi mutant E15 with high levels of TAG production compared with the wild-type was efficiently obtained using Percoll density gradient centrifugation. However, considering its use for biodiesel production, it is necessary to further improve the lipid productivity of the mutant. In this study, we aimed to obtain mutants with better lipid productivity than E15, evaluate its lipid productivity, and analyze lipid synthesis-related gene expression in the wild-type and mutant strains. The mutants E15-11, E15-15, and E15-25 exhibiting higher lipid productivity than E15 were efficiently isolated from cells exposed to ultraviolet light using Percoll density gradient centrifugation. They exhibited approximately 4.5-fold higher lipid productivity than the wild-type on day 3. The obtained mutants did not exhibit significantly different fatty acid profiles than the wild-type and E15 mutant strains. E15-11, E15-15, and E15-25 exhibited higher expression of acyl-CoA synthesis- and Kennedy pathway-related genes than the wild-type and E15 mutant strains. Activation of the pentose phosphate pathway, which supplies NADPH, was also observed. These results suggested that the increased expression of acyl-CoA synthesis- and Kennedy pathway-related genes plays a vital role in lipid productivity in the oleaginous yeast L. starkeyi.

Disruption of alpha-tubulin releases carbon catabolite repression and enhances enzyme production in Trichoderma reesei even in the presence of glucose.

BACKGROUND: Trichoderma reesei is a filamentous fungus that is important as an industrial producer of cellulases and hemicellulases due to its high secretion of these enzymes and outstanding performance in industrial fermenters. However, the reduction of enzyme production caused by carbon catabolite repression (CCR) has long been a problem. Disruption of a typical transcriptional regulator, Cre1, does not sufficiently suppress this reduction in the presence of glucose. RESULTS: We found that deletion of an α-tubulin (tubB) in T. reesei enhanced both the amount and rate of secretory protein production. Also, the tubulin-disrupted (ΔtubB) strain had high enzyme production and the same enzyme profile even if the strain was cultured in a glucose-containing medium. From transcriptome analysis, the ΔtubB strain exhibited upregulation of both cellulase and hemicellulase genes including some that were not originally induced by cellulose. Moreover, cellobiose transporter genes and the other sugar transporter genes were highly upregulated, and simultaneous uptake of glucose and cellobiose was also observed in the ΔtubB strain. These results suggested that the ΔtubB strain was released from CCR. CONCLUSION: Trichoderma reesei α-tubulin is involved in the transcription of cellulase and hemicellulase genes, as well as in CCR. This is the first report of overcoming CCR by disrupting α-tubulin gene in T. reesei. The disruption of α-tubulin is a promising approach for creating next-generation enzyme-producing strains of T. reesei.

Functional analysis of a novel lytic polysaccharide monooxygenase from Streptomyces griseus on cellulose and chitin.

Lytic polysaccharide monooxygenases (LPMOs) are enzymes that degrade polysaccharides with an oxidative mechanism and contributed to the efficiency in biomass degradation by glycoside hydrolases (GHs). In this study, the substrate and reaction specificity of SgLPMO10A that was an auxiliary activity family 10 (AA10) enzyme with a carbohydrate binding module family 2 (CBM2) domain from Streptomyces griseus, was analyzed. This enzyme produced oxidized cello-oligosaccharides from cellulose and boosted cellulose degradation by cellulases. Detailed study of the AA10 and CBM2 domains revealed that the binding ability of SgLPMO10A depended on CBM2 and that only the AA10 domain functions more effectively in the presence of a certain amount of substrates.

Involvement of Xyr1 and Are1 for Trichodermapepsin Gene Expression in Response to Cellulose and Galactose in Trichoderma reesei.

The secretome of Trichoderma reesei contains a mixture of cellulases, hemicellulases, amylases, proteases, and lipases that synergistically degrade plant biomass. Trichodermapepsin (TrAsP), the most prominent protease of T. reesei, affects the stability of cellulases. Similar to cellulase production, TrAsP production also depends on carbon and nitrogen sources. Unlike the cellulase mechanism, the regulatory mechanism of TrAsP remains unknown. Therefore, this study aimed to determine the effect of the main cellulase regulator Xyr1 and nitrogen regulator Are1 on trasp regulation. Cellulase inducer Avicel and TrAsP inducer galactose were used as carbon sources. qRT-PCR analysis revealed that Xyr1 and Are1 acted as a repressor and an activator for trasp expression, respectively. Compared to Avicel, relative expression was higher in galactose. The binding motifs of Xyr1 and Are1 were located in upstream of the trasp promoter. From promoter deletant analysis using the ß-glucuronidase reporter gene, the area from - 870 bp to - 670 bp was identified as the only region for positive regulation and there were both binding motifs of Xyr1 and Are1. Reporter assay of mutants confirmed functions of downregulation of Xyr1 and upregulation of Are1. Electrophoretic mobility shift assay demonstrated the binding ability of Xyr1 and Are1 to the particular binding motifs and their functionality was confirmed. Further, this study demonstrated that Cre1, Xpp1, and Pac1 downregulate trasp expression similar to that in cellulase regulation mechanism. These results demonstrate that transcriptional regulators of cellulase control trasp expression and suggest the possibility of the existence of specific protease regulators in T. reesei.

Effect of light on carotenoid and lipid production in the oleaginous yeast Rhodosporidium toruloides.

The oleaginous yeast Rhodosporodium toruloides is receiving widespread attention as an alternative energy source for biofuels due to its unicellular nature, high growth rate and because it can be fermented on a large-scale. In this study, R. toruloides was cultured under both light and dark conditions in order to understand the light response involved in lipid and carotenoid biosynthesis. Our results from phenotype and gene expression analysis showed that R. toruloides responded to light by producing darker pigmentation with an associated increase in carotenoid production. Whilst there was no observable difference in lipid production, slight changes in the fatty acid composition were recorded. Furthermore, a two-step response was found in three genes (GGPSI, CAR1, and CAR2) under light conditions and the expression of the gene encoding the photoreceptor CRY1 was similarly affected.

Characterization of earthworm α-amylases for dietary supplement development and biomass utilization.

Earthworms are useful soil-decomposing animals that possess various saccharification enzymes such as cellulases and amylases. Earthworms have also been traditionally used as antipyretic agents and medicines for preventing thrombotic diseases such as brain infarction. We previously developed a novel earthworm dietary supplement with fibrinolytic, cellulase, and amylase activities using high-pressure technology. However, the optimal temperature and pH required for amylase activity in bioindustry have not yet been investigated. In the present study, we purified and characterized two α-amylases of Eisenia fetida Waki, EfAMY1 and EfAMY2, which were monomeric enzymes of 63.8 kDa and 64.0 kDa, with specific activities of 69.2 and 40.4 units/mg, respectively. The optimal pH was 5.5 for both enzymes, and the optimal temperatures were 45 °C and 35 °C for EfAMY1 and EfAMY2, respectively; however, the enzymes were stable over a wide pH range (5-10) and at high temperature (up to 40 °C). These amylases showed higher specific activity and cold tolerance than those previously reported. These data should help to promote the development of E. fetida AMYs as functional dietary supplements and in biomass utilization.

A novel electroporation procedure for highly efficient transformation of Lipomyces starkeyi.

Microbial lipids produced by oleaginous microorganisms as raw materials for the production of oleochemicals and biodiesel are sustainable while avoiding competition with food products. The oleaginous yeast Lipomyces starkeyi is an excellent lipid producer with a great industrial potential that is suitable as a valuable host to improve lipid production through genetic engineering modifications. However, genetic tools, including effective transformation methods, for L. starkeyi are insufficient for improvement of lipid production and analysis of lipid production mechanisms. We previously developed a polyethylene glycol (PEG)-mediated spheroplast transformation method that significantly improved the homologous recombination efficiency of L. starkeyi strain ∆lslig4. Although other transformation methods, including lithium acetate (LiAc)-mediated transformation and Agrobacterium tumefaciens-mediated transformation, have been reported, a more efficient and convenient transformation method for L. starkeyi is desired. In this study, we developed a novel electroporation transformation method that was first applied for integration of drug-resistance gene markers into the genome of L. starkeyi strain ∆lslig4 at the 18S ribosomal DNA locus of a multiple-copy gene, which yielded approximately 60 transformants/µg of DNA. Optimization of five parameters (i.e., cell growth phase, cell density, osmotic stabilizers, pretreatment agents, and electric conditions) enhanced the efficiency of transformation to approximately 1.5 × 104 transformants/µg of DNA. As compared with those of LiAc-mediated transformation and PEG-mediated spheroplast transformation, the efficiency of the proposed transformation method was increased by about 111- and 7-fold, respectively. Additionally, the transformation efficiency of our proposed electroporation method targeting a single-copy gene locus yielded 273 transformants/µg of DNA. To our knowledge, this is the first report of a successful electroporation method to accelerate analysis of lipid production by L. starkeyi.