Abstract
The development of sustainable processes is the most important basis to realize the shift from the fossil-fuel based industry to bio-based production. Non-model microbes represent a great resource due to their advantageous traits and unique repertoire of bioproducts. However, most of these microbes require modifications to improve their growth and production capacities as well as robustness in terms of genetic stability. For this, genome reduction is a valuable and powerful approach to meet industry requirements and to design highly efficient production strains. Here, we provide an overview of various genome reduction approaches in prokaryotic microorganisms, with a focus on non-model organisms, and highlight the example of a successful genome-reduced model organism chassis. Furthermore, we discuss the advances and challenges of promising non-model microbial chassis.
1 Introduction
Global warming is a worldwide threatening issue that requires immediate action on all levels, from personal behaviour to industrial production. Net zero CO2 emissions need to be achieved by the middle of this century and must be consequently kept from there on (Rogelj et al., 2015; ). To reach this goal, the transition from a fossil-fuel based economy to a bio-based circular economy is required, and industrial biotechnology represents one of its key enabling technologies. Bio-based processes can replace the fossil fuel by deriving chemical products via fewer conversion steps, application of mild process conditions and by avoiding toxic waste formation that is difficult to recycle or degrade (Hatti-Kaul et al., 2007). Hence, new biorefinery principles must be developed and optimised, especially in terms of efficiency. Up to now, the scale-up remains the major challenge, and related key aspects include bioreactor configuration, feedstock pre-treatment and microbial host choice and design (Navarrete et al., 2020). The identification of the proper host and its development towards a microbial chassis represents a crucial step, as it must adapt the organism to the feedstock and process demands, thereby determining the overall efficiency of the process.
Nowadays, only few microbial model organisms are used in the commercial production of amino acids, enzymes or insulin, for example. Traditional microbes, such as Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae and Corynebacterium glutamicum are well established and consequently more exploited. However, different bioprocesses require different traits, and traditional microbes often lack essential requirements such as: high growth rates, easy handling in diverse bioprocesses, robustness against harsh process conditions, and tolerance towards high substrate and product concentrations (; Jackson et al., 2021). Therefore, the quest of developing new microbial chassis with better traits is essential to fulfil the needs of a sustainable bio-based industry. Collective progress in synthetic biology, metabolic engineering and genome reduction is an important resource to achieve this goal (Ko et al., 2020; Voigt, 2020; ).
Here, we review the current knowledge on microbial chassis development by multiple aspects including genome reduction, genetic manipulation tools, and biotechnological application, focusing on promising non-traditional prokaryotic organisms.
2 Microbial chassis development
A microbial chassis is defined as an “engineerable and reusable biological platform with a genome encoding several basic functions for stable self-maintenance, growth, and optimal operation but with the tasks and signal processing components growingly edited for strengthening performance under pre-specified environmental conditions” (). Briefly, to create a microbial chassis, extensive studies are required to provide a detailed information of the general and metabolic features of the selected strain (Figure 1). To start, the complete genome sequence including comprehensive annotation must be available. The in silico analysis of genomic data allows a first evaluation of the metabolic potential. Furthermore, it provides initial knowledge on non-essential genes and putative pathogenic elements that can be targets for the genome reduction strategy. Molecular biological tools, including plasmids and a set of constitutive and inducible promoters of different strengths, have to be developed, alongside genetic engineering tools for precise editing. Ideally, these tools should enable large genomic deletions and multiplexing, enhancing the ease and velocity of genetic manipulations. Omics-based in silico technologies built on quantitative physiology can be exploited to guide strain development to achieve high product titers, rates, and yields. Metabolic models are highly needed and must be constructed based on wild-type (wt) genome and data from knockouts variants. The optimization of the microbial chassis should not only aim at improving its bioproduction performance, but should also require an improvement of its robustness towards industrial settings.
FIGURE 1
3 Genome reduction is a valuable approach for achieving robust chassis
The increasingly efficient new-generation sequencing techniques have completely revolutionized biology (Satam et al., 2023). Biological systems are more and more analysed with a holistic genome-based approach instead of single gene analysis, providing a huge amount of data that highlights the complexity of a cell and gives great insights into the metabolism and physiology. In addition, through the increased number of genomes being sequenced, many predicted proteins with no discernible function are identified (Ijaq et al., 2015). Cell complexity causes unpredictable interactions making modelling of the metabolism and functional predictions more challenging (). For this reason, one of the aims of genome reduction is to reduce the complexity of a chassis and hence improve the predictability and controllability. Genome reduction can proceed in either a bottom-up or top-down approach (Figure 1). The bottom-up approach entails designing and building an artificially synthesized genome. Conversely, the top-down approach starts from an intact genome of the target organism and proceeds with a systematic removal of “unnecessary” genes and genomic regions.
For the sake of the simplicity of this review, bottom-up approaches will be discussed in more detail elsewhere (). Yet, it is worth mentioning the significance of the JCVI-syn3.0 project, which successfully created the first minimal cell (). This engineered cell encodes only for 473 genes in its genome, which is a much lower number than any other free-living organism. While this synthetic cell can survive and replicate, the elimination of many non-essential genes caused 3-fold less slower growth rate than that of the parental Mycoplasma mycoides and some altered morphological traits. To achieve the goal of an industrial chassis a prior thorough knowledge of gene essentiality is required, especially to maintain proper growth and production. Indeed, insufficient knowledge of essential gene sets, especially of non-model organisms, is the main limitation of the bottom-up approach to directly design an active genome. Based on the enormous progress of AI-based tools for genome editing, metabolic modelling in combination with automation and high-throughput genome editing and screening techniques the progress of genome reduction will be enormously accelerated and increasingly efficient (Zampieri et al., 2019; Li S. et al., 2022; ). These emerging techniques and approaches will be beneficial for both bottom-up as well as top-down approaches, leading to customized and/or new-to-nature strains for specific applications (Kim et al., 2024). Once there will be this extensive progress, there might be a trade-off between choosing which genome reduction approach is more appropriate to use for a certain application. However, for now, the top-down down approach is less costly and relatively straightforward which is why this approach is more widely used.
Nowadays, many prokaryotic strains are subjected to genome reduction, as given in Table 1. Compared with eukaryotic genomes, bacterial genomes are smaller and encode a smaller number of genes. Consequently, genome reduction approaches have been less exploited in eukaryotes and were mainly performed to gain knowledge on cellular function and survival strategies (Kurasawa et al., 2020). The few genome reductions as performed for S. cerevisiae and Saccharomyces pombe were both valuable from a functional and industrial application perspective (Sasaki et al., 2013; Shao et al., 2018; Postma et al., 2022). An increase in protein production was achieved for S. pombe (Sasaki et al., 2013). Although negative characteristics were observed for the genome reduced S. cerevisiae, higher levels of ethanol and glycerol were reached (Murakami et al., 2007). A recent approach was used to acquire further knowledge on central carbon metabolism (CCM) by deleting 32 % of CCM-related proteins. No major effects on the growth behaviour were identified. Yet, this study contributes to guide future minimized yeast chassis (Postma et al., 2022).
TABLE 1
| Parental strain | Genome-reduced strain | Deletion targets | Deletion size | Characteristics | References |
|---|---|---|---|---|---|
| Bacillus amyloquefaciens LL3 | GR167 | Genomic islands, extracellular polysaccharide biosynthesis genes, prophages | 168 kb (4.2%) | Faster growth, higher transformation efficiency, increased heterologous gene expression | Zhang et al. (2020) |
| Bacillus subtilis 168 | Δ6 | Prophages, pks operon | 323 kb (7.7%) | Normal growth and protein production | Westers et al. (2003) |
| MG1M | Prophage regions, antibiotic polyketide genes, sporulation | 991 kb (24.0%) | Decreased growth rate, comparable protein production | ||
| MGB874 | 74 genomic regions with prophages, secondary metabolic genes and non-essential genes | 814 kb (20.7%) | Decreased growth rate, 1.7-fold increase in cellulase and 2.5-fold protease production, no sporulation | Morimoto et al. (2008) | |
| BSK814G2 | Prophages, antibiotic production genes, nonessential genes | 814 kb (20.0%) | Decreased growth characteristics, 4.4-fold higher guanosine production | Li et al. (2016) | |
| BSK756T3 | Prophages, antibiotic production genes, nonessential genes | 756 kb (18.6%) | Decreased growth characteristics, 5.2-fold higher thymidine production | ||
| IIG-Bs27-47-24 | Genes for sporulation, motility, secondary metabolism, prophages, pks operon, secreted proteases, and more | 1.32 Mb (30.95%) | Close-to-wild-type growth properties, 3000-fold increased secretion of active Gaussia luciferase which contains five disulphide bonds and enhanced production of the immunodominant staphylococcal antigen A | Schilling et al. (2023c) | |
| PG10 | Genes for sporulation, motility, secondary metabolism, prophages, pks operon, secreted proteases, and more | 1.46 Mb (34.6%) | Decreased growth rate, reduced flux through glycolysis, altered amino acid metabolism, improved production of difficult to express proteins and lantibiotics | Reuß et al. (2017),Suárez et al. (2019),Van Tilburg et al. (2020) | |
| Corynebacterium glutamicum ATCC13032 | MB001 | 3 prophages | 205 kb (6.0%) | Improved growth under stress conditions, 30% increased transformation efficiency and plasmid copy number | |
| C1* | Irrelevant genes | 439 kb (13.4%) | Wild-type-like growth in rich and minimal medium, robust against stresses, improved growth stability | ||
| CR101 | All prophages and IS elements | 249 kb (7.6%) | Similar growth rate and transformation efficiency to MB001 | Linder et al. (2021) | |
| Escherichia coli K-12 MG1655 | MDS42 | Insertion sequences | 663 kb (14.3%) | Normal growth, increased transformation efficiency, and plasmid stability when toxic protein is present | Pósfai et al. (2006) |
| Δ16 | Nonessential genes | 1.38 Mb (29.7%) | Lower growth rate, longer and wider cells, aberrant nucleoid structure | ||
| MS56 | IS elements, K-islands, flagella, LPS synthesis genes | 1.07 Mb (23.0%) | Normal growth aside in M9 basic medium, increased genetic stability, stable plasmid and protein production | Park et al. (2014a) | |
| Escherichia coli K-12 W3110 | MGF-01 | Nonessential genes | 1.03 Mb (22.2%) | 1.5-fold higher cell density, 2-fold higher threonine production | Mizoguchi et al. (2007) |
| Halomonas bluephagenesis TD01 | ΔPS1234Δ50k | Flagella, exopolysaccharides and O-antigene gene clusters | 121 kb (3.0%) | Normal growth and PHB production, self-flocculation favouring downstream process, electrotransformation finally feasible | Xu et al. (2022) |
| Lactococcus lactis NZ-9000 | 9K-4 | Prophages, integrases, and transposases | 72 kb (2.8%) | Faster growth rate, increased biomass yield, improved heterologous gene expression up to 4-fold | Zhu et al. (2017) |
| Lactococcus lactis N8 | N8-8 | Prophages and genomic islands | 176 kb (6.9%) | Shortened generation time by 17%, normal nisin production | Qiao et al. (2022) |
| Magnetospirilium Grywaldense | ΔTZ-17 | Prophages, transposases, nitrogen fixation genes, pks operon | 228 kb (5.5%) | Normal growth and magnetosome biosynthesis with improved genomic stability | Zwiener et al. (2021) |
| Paenibacillus polymyxa DSM 365 | GR1 | 8 biosynthetic gene clusters and sacB | 178 kb (3.0%) | Normal growth and normal producuction of 2,3-butanediol and exopolysaccharides | Ravagnan et al. (2024) |
| GR2 | 2 genomic islands and 6 copies of one IS element | 39 kb (0.6%) | Normal growth and normal production of 2,3-butanediol and exopolysaccharides | ||
| Pseudomonas chlororaphis GP72 | MDS22 | 22 genomic regions with non-essential genes | 686 kb (10.3%) | Some strains show decreased growth and production, others display increased phenazine production | Shen et al. (2017) |
| Pseudomonas mendocina NK-01 | NKU421 | Genomic island, prophages, hypothetical protein clusters | 418 kb (7.7%) | Increased ATP/ADP ratio by 11-fold, Improved mcl-PHA and alginate oligosaccharide production by 114.8% and 27.8%, respectively | |
| Pseudomonas putida KT2440 | KTU-13 | 13 genomic islands | 255 kb (4.1%) | 45-fold increase in transformation efficiency, 9.4-fold increase in heterologous protein expression, 39% increase in PHA production | Liang et al. (2020c) |
| EM383 | Flagella, 4 prophages, transposons, restriction modification endonucleases | 266 kb (4.3%) | Increased growth rate and biomass yield in minimal medium, reduced maintenance coefficient, higher plasmid stability, and specific protein productivity, higher AEC, reduced organic acid formation | Martínez-García et al. (2014),Lieder et al. (2015) | |
| Pseudomonas taiwanensis VLB120 | GRC1 | Megaplasmid, 5 prophages, flagella and biofilm genes | 640 kb (10.7%) | Increased growth rates and biomass yield, 1.47-fold improved productivity of phenol | Wynands et al. (2019) |
| Schlegelella brevitalea DSM 7029 | DC1-7 | 7 biosynthetic gene clusters | 316 kb (4.9%) | Improved or decreased growth, higher transformation efficiency circa 3-fold on average | Liu et al. (2021) |
| DT1-10 | Transposons, 2 prophages, genomic islands, 3 biosynthetic gene clusters | 316 kb (4.9%) | Higher cell growth and biomass, higher transformation efficiency 16-fold on average, shorter and smaller cells, alleviation of autolysis, increased heterologous antibiotic production (e.g., 14-fold higher myxochelin A) | ||
| Streptomyces albus J1074 | Del14 | 15 biosynthetic gene clusters | 500 kb (7.3%) | Normal growth and improved heterologous gene expression of 7 products by circa 2-fold, simplified metabolic background | Myronovskyi et al. (2018) |
| Streptomyces avermitilis K139 | SUKA17 | Biosynthetic gene clusters, prophages, transposases | 1.67 Mb (18.5%) | Higher cell growth rate and biomass, higher heterologous production (e.g., 4-fold increase streptomycin) | Komatsu et al. (2010), Komatsu et al. (2013) |
| Streptomyces coelicolor M145 | M1152 and M1154 | 4 biosynthetic gene clusters with introduced point mutations in rpoB and rpsL | 173 kb (2.0%) | Comparable growth but not when spores were used as inoculum, 40-fold increased chloramphenicol and circa 30-fold increased congocidine production, simplified metabolic background | |
| ZM12 | 10 biosynthetic gene clusters and a subtelomeric segment | 1.22 Mb (14.0%) | Normal growth, some intermediate strains show increased actinorhodin production | Zhou et al. (2012) | |
| Streptomyces chattanoogenesis L10 | L321 | 7 biosynthetic gene clusters | 736 kb (7.7%) | Normal growth, increased ATP and NADPH availability, higher transformation efficiency, improved heterologous gene expression, and increased genetic stability | |
| Streptomyces lividans TK24 | ΔYA11 | 11 biosynthetic gene clusters | 229 kb (2.7%) | Slightly higher growth rate and biomass in some of the strains, higher heterologous natural products production (e.g., 4-fold higher deoxycinnamycin), simplified metabolic background | |
| Streptomyces rimosus ATCC 10970 | Δ145 kb | 2 biosynthetic gene clusters and other nonessential genes | 145 kb (1.5%) | Normal growth, transcriptome changes, morphological change, 10-fold higher oxytetracycline, activated cryptic gene clusters (longicatenamycins and tyrobetaine-2) | Pšeničnik et al. (2024) |
| Δ240 kb | 3 biosynthetic gene clusters and other nonessential genes | 240 kb (2.5%) | Normal growth, transcriptome changes, 2-fold higher oxytetracycline, activated cryptic gene clusters (longicatenamycins) | ||
| Synechococcus elongatus UTEX 2973 | SG33 | Nonessential genes | 34 kb (1.2%) | 23% increased growth rate | Sengupta et al. (2024) |
| SG55 | Nonessential genes | 55 kb (2.0%) | 9% increased growth rate, 10-fold higher transformation efficiency, 22.7% sucrose production, no difference in quantum yield compared to the wt | ||
| Vibrio natriegens 14,048 | Δvnp12 | All prophages | 75 kb (2.3%) | Normal growth, improved robustness in DNA-damaging and hypo-osmotic conditions, increased pyruvate production 40-fold | Pfeifer et al. (2019) |
Genome-reduced strains in prokaryotes.
Concerning prokaryotes, many studies on genome reduction have shown the great benefits of top-down approaches when developing a microbial cell factory: enhancement of genomic stability, higher transformation efficiency, optimization of downstream application and improvement of growth rate and/or bioproduction. The enhancement of genomic stability is reached through the deletion of genetic mobile elements, such as prophages or insertion sequences (IS), and SOS response mechanisms due to causing negative random mutations and/or product inactivation (; Park M. K. et al., 2014; ; Peng and Liang, 2020; Zwiener et al., 2021). Park et al. developed an IS-free E. coli strain, and enhanced the production of two recombinant proteins, the tumour necrosis factor-related apoptosis-inducing ligand (TRAIL) and the bone morphogenic protein-2 (BMBP2) by 25 % and 20 %, respectively (Park M. K. et al., 2014). The deletion of the error-prone DNA polymerases in E. coli also showed increased genomic stability and a 50 % decrease in spontaneous mutation rate (). To improve downstream applications, the deletion of undesired products is essential. Many studies have focused on the deletion of antibiotics encoding genes, but also on increasing the precursor supply necessary for a target product (; Myronovskyi et al., 2018; ). Myronovskyi et al. developed a Streptomyces albus strain in which 15 native antibiotic gene clusters were deleted. The mutant displayed higher production of 5 heterologous expressed biosynthetic gene clusters (BGCs) of around 2-fold compared to the parent strain (Myronovskyi et al., 2018). Another example is Streptomyces lividans in which the deletion of 10 endogenous antibiotic encoding clusters resulted in a higher growth rate and a 4.5-fold increase of the production of the heterologous expressed deoxycinnamycin (). Furthermore, in both studies, the metabolic background was greatly simplified for the analysis of secondary metabolite gene cluster expression. Finally, the deletion of unnecessary proportions of a genome at a large scale might lower the operating costs of the living cells (reduction of DNA, RNA and protein synthesis costs) yielding improved cellular performances in terms of growth rates, cell density, and/or productivity compared with their wild-type counterparts (Westers et al., 2003; Mizoguchi et al., 2007; Lieder et al., 2015; Li et al., 2016; ; Wynands et al., 2019; Liang et al., 2020b; ; Zhang et al., 2020; Qiao et al., 2022; Pšeničnik et al., 2024; Sengupta et al., 2024). A 2.83 % genome-reduced Lactococcus lactis strain showed faster growth, increased biomass yield, and improved protein production of up to 4-fold (Zhu et al., 2017). Also, in another study different genome-reduced strains of Pseudomonas putida were developed reaching a total of 4.3% genomic deletion. They were subsequently tested also in bioreactors and proved to be more efficient than the wild type in growth rate, biomass yield, plasmid stability, and viability (Martínez-García et al., 2014; Lieder et al., 2015).
When aiming to reduce a genome, the major challenge is the choice of the targets for deletions. So far, mainly two strategies are applied. The first approach uses comparative genomics to identify essential genes to avoid the deletion of indispensable functions (Kolisnychenko et al., 2002; Suzuki et al., 2005b; Liang et al., 2020b). The second approach is more knowledge-based and aims at deleting prophage regions, insertion elements, and secondary metabolites (Li et al., 2016; ; Myronovskyi et al., 2018; ; Ravagnan et al., 2024). However, undesired side effects can still be observed (; Murakami et al., 2007; Reuß et al., 2017; Shen et al., 2017; Qiao et al., 2022). Noack and Baumgart systematically categorized the whole genome of C. glutamicum in relevant, non-essential and irrelevant genes. Relevant genes are those which are necessary for survival, while non-essential and irrelevant ones are the usual targets for genome reduction (Noack and Baumgart, 2019). Mainly, non-essential genes are a subset of relevant genes that have no effect on cell viability but can be beneficial for cell growth in certain conditions. Instead, irrelevant genes are highly expressed genes whose products are not required under the defined cultivation conditions and they represent the most promising target genes for deletion. The genome-reduced strain can still replicate on its own while displaying advantageous production traits in the defined environment. To define this set of genes, transcriptomics and proteomics data should be included in the desired environment which should mimic as closely as possible the industrial conditions. This approach should be considered and performed for each target product, since different operating conditions may be required. Another promising concept for genome reduction is the Community of Niche-optimized strains (CoNoS), where two strains of the same species are each carrying one or more auxotrophies and cross-feed each other, saving carbon and energy (Noack and Baumgart, 2019). This strategy was successfully applied for the first time in 2022 using two amino acid auxotrophic C. glutamicum strains (Schito et al., 2022). Synthetic communities can be established between genome-reduced strains growing with mutual dependency and opening up to new future perspectives.
4 Microbial chassis from a historical example to new promises
Decades of technological developments have established E. coli, S. cerevisiae, B. subtilis, and C. glutamicum as important workhorses among others. Indeed, these traditional organisms have advantages as chassis cells due to the manifold efficient synthetic biology tools for engineering and well-analyzed genomes and metabolic networks. However, the growing number of more and more versatile and sophisticated bioprocesses and bioproducts bring these established workhorses to their limit from a metabolic point of view. Consequently, new microbes are emerging and gaining more relevance as future chassis. In the section below, we present C. glutamicum as a great example of a model platform chassis, with a special focus on its industrial relevance. Following, we will present an overview of alternative promising microbes with great potential for the production of different value-added products based on their specific characteristics (Table 2).
TABLE 2
| Chassis cell | Characteristics | ||||
|---|---|---|---|---|---|
| Products | Highest genome reduction achieved (%) | Benefits | Open needs | References | |
| Corynebacterium glutamicum | L-amino acids (e.g., glutamate and lysine), organic acids, diamides and more | 13.4 | Assimilation of carbon from a variety of carbon sources, simultaneous utilization of a mixture of carbon sources, tolerance towards organic acids, robust, high cell densities, optimised production strains, genome wide metabolic models, tools for genome engineering and gene expression | Multiplex genome editing tools, more efficient plasmid curing systems | , , Wolf et al. (2021),Kim et al. (2023) |
| Halomonas bluephagenesis | PHAs, ectoine | 3.0 | Contamination resistant, high cell densities, tools for genome engineering and gene expression | More versatile genome editing tools compared to traditional microbes | Zhao et al. (2017), Qin et al. (2018), Shen et al. (2018), Ma et al. (2020), Ma et al. (2022), Ye et al. (2020), Xu et al. (2022) |
| Paenibacillus polymyxa | R,R-2,3-butanediol, exopolysaccharides, antibiotics (e.g., polymyxin) | 3.0 | Assimilation of carbon from a variety of carbon sources, versatile metabolism and tools for genome engineering and gene expression | More versatile genome editing tools compared to traditional microbes | Häßler et al. (2012),Rütering et al. (2017),Schilling et al. (2021),Meliawati et al. (2022),Sun et al. (2022),Ravagnan et al. (2024) |
| Schlegelella brevitalea | Glidobactins and heterologous production of other NRP/PKS (e.g., epothilones) | 4.9 | Tools for genome engineering and gene expression, outstanding biosynthetic capacity for dozens of secondary metabolites | Early autolysis, more versatile genome editing tools compared to traditional microbes | Wang et al. (2018b),Yu et al. (2020b),Wang et al. (2021b),Liu et al. (2021) |
Characteristics of microbial chassis.
4.1 Corynebacterium glutamicum
Corynebacterium glutamicum is a facultative anaerobic bacterium that has been used safely for more than 50 years in the food and feed industry. It is commercially used for the production of L-amino acids including the dominating products L-glutamate and L-lysine (Park S. H. et al., 2014; ). It is also an efficient platform organism for the biotechnological production of diverse and valuable products like organic acids, carotenoids, fuels, diamines, and more (; Wolf et al., 2021).
C. glutamicum represents an excellent workhorse for several reasons. C. glutamicum can assimilate a variety of different carbon sources, like sugars, organic acids, and aromatic compounds simultaneously which renders it superior compared to E. coli, B. subtilis or S. cerevisiae (; Inui and Toyoda, 2020). In addition, C. glutamicum shows only a weak carbon catabolite inhibitory effect on mixed carbon sources, which is highly beneficial for industrial applications (Wendisch et al., 2000; ). However, it cannot directly utilize complex polysaccharides, such as xylan, cellulose or starch (). For this reason, it has been engineered for consolidated bioprocessing by the heterologous expression of amylolytic and cellulolytic enzymes to produce different biochemicals (Lee et al., 2014; Yim et al., 2017). Another important feature is its robustness and tolerance to organic acids, furfural, and toxic aromatic compounds as obtained from hydrolysis of next-generation feedstocks such as lignocellulosic biomass. Moreover, C. glutamicum cells maintain a strong catalytic function and high-density fermentation under growth-inhibiting conditions (; ; Kitade et al., 2020).
Genomic robust strains, which are free from the adverse effects of prophages and IS elements, are highly demanded in industrial settings. C. glutamicum is a great example of how the deletion of such destabilizing genomic elements can improve bioproduction. Choi et al. deleted the major IS elements and used the resulting mutant for the plasmid-borne production of poly(3-hydroxybutyrate) and γ-aminobutyrate. The authors observed an improved productivity of both products (). The first genome-reduced C. glutamicum (MB001) targeted the three prophage sequences of its genome, resulting in a total genome reduction of 6 %. Under SOS-response conditions, in which one of the bacteriophages is induced, the prophage-free variant showed improved growth, higher transformation efficiency, and 30 % increased production of the enhanced yellow fluorescent protein (eYFP) compared to the wild type (). The MB001 strain was further engineered by deleting all copies of two IS elements and was used as a starting point for the singular deletion of 36 predicted nonessential regions. 26 of these regions proved not to affect biological fitness (Unthan et al., 2015). Combinatorial deletions of these irrelevant gene clusters resulted in a library of 28 strains that were characterized by different stress conditions. The final C. glutamicum C1* with a total reduced genome of 13.4 % represents an ideal base for further improvements toward a biotechnologically relevant chassis (). Many of these genome-reduced mutants were used for the production of various value-added compounds, as reported (Lara and Gossett, 2019). Recently, Linder et al. have deleted all the IS elements of C. glutamicum starting from the MB001 strain (Linder et al., 2021). Additionally, recent studies have also demonstrated their further industrial potential (Henke and Wendisch, 2019; Haupka et al., 2020; Hemmerich et al., 2020; Walter et al., 2020; ; ; ; Kiefer et al., 2022; Mindt et al., 2022; Prell et al., 2022; Schmitt et al., 2023). For example, 3-hydroxycadaverine was produced de novo by the lysine overproducing genome-reduced variant, resulting in the highest titer of this compound reported till now of 8.6 g/L (Prell et al., 2022). Mindt et al. produced indole by exploiting the C1* genome-reduced chassis due to its higher product tolerance and lack of a flavin-dependent monooxygenase which is known to oxidize indole to indoxyl (Mindt et al., 2022; Mindt et al., 2023).
A commonly used approach for editing the genome of C. glutamicum is based on the use of a two-step recombination system with a conditionally lethal marker, such as the levansucrase encoding gene sacB (Niebisch and Bott, 2001). Other genetic tools described are the Cre/loxP system and the RecT-mediated single-stranded recombination (Suzuki et al., 2005a; Huang et al., 2017). These procedures are often laborious and/or lack the simultaneous editing of multiple genes. Recent studies have developed two different CRISPR-Cas systems for genome editing: one utilizing Cfp1 (Cas12a) from Francisella novicida, and the other utilizing Cas9 from Streptococcus pyogens (Jiang et al., 2017; Liu et al., 2017). Both approaches resulted in large nucleotide sequences deletions and integrations and single-nucleotide exchanges were realized. Jiang et al. also achieved double-locus editing (Liu et al., 2017). However, this system still requires optimization concerning editing efficiencies. To improve the homologous repair activity CRISPR systems combined with the recombinase RecT system were successfully established (; Wang B. et al., 2018; Li et al., 2021). The recombineering efficiency reached the highest efficiency reported of 13,250 transformed cells/109 viable cells (Li et al., 2021). The CRISPR interference (CRISPRi) technology for gene repression has been widely used with the nuclease deactivated dCas9 and dCfp1 (; Zhang et al., 2016; Liu et al., 2019; Li et al., 2020; ; Li et al., 2022a). Other synthetic biology tools for controlling gene expression through static and dynamic regulation have also been investigated in C. glutamicum (Yim et al., 2013; Shi et al., 2020). Many synthetic promoter libraries were also generated (Zhang et al., 2015; 2018; ). To regulate the metabolic flux in real-time, dynamic regulatory systems were employed (Tan et al., 2020; ; Lai et al., 2022). Finally, C. glutamicum counts different genome-metabolic models developed to guide metabolic engineering targets by improving experimental design (Kjeldsen and Nielsen, 2009; Mei et al., 2016; ; Niu et al., 2022; Zhang et al., 2022). Deeper insights into available synthetic tools in C. glutamicum are further reviewed elsewhere (Kim et al., 2023).
C. glutamicum has emerged as a potent host to produce molecules for human health and wellbeing and has greatly expanded its role from a traditional producer of amino acids to a multi-functional microbial production platform. Its valuable native and engineered traits secured its establishment in industry and drive the rapid and continuous technical improvements that help gain deeper insights into C. glutamicum physiology and genetics.
4.2 Halomonas bluephagenesis
Halomonas bluephagenesis is an auto sterile halophilic bacterium, with high potential for next-generation industrial biotechnology (NGIB) (). Due to its fast growth in high salt and alkaline conditions, open and continuous processes were conducted for 2 months without any contamination (Tan et al., 2011). Successful cases of unsterile pilot-scale productions were also performed with significant cost reductions, assessing H. bluephagenesis as a suitable industrial strain for large-scale production under open non-sterile conditions (Ye et al., 2018). To support its growth in such unusual environments, it produces different compounds, such as the compatible solute ectoine and polyhydroxyalkanoates (PHAs), such as polyhydroxybutyrate (PHB) which is naturally produced as an energy and carbon storage and stress resistance enhancer, up to 80 % of cell dry mass (Tan et al., 2011; Obruca et al., 2018).
PHAs are a family of biodegradable and biocompatible biopolymers with the potential to replace petroleum-based plastics (Keshavarz and Roy, 2010). They can be used in various fields ranging from packaging to biomedical applications (Valappil et al., 2006; Rehm, 2010; Możejko-Ciesielska and Kiewisz, 2016). Since new PHAs are industrially required to provide different material properties that can suit more applications, H. bluephagenesis has also been genetically engineered to produce PHBV, P3HB4HB, PHA copolymyers P(3HB-co-3HHx), and many others (Yu L. P. et al., 2020; Mitra et al., 2020; Yan et al., 2022). To further increase PHA accumulation, many efforts have been made to improve the competitiveness of microbial production via synthetic biology and metabolic engineering.
H. bluephagenesis has been manipulated mainly via a markerless gene replacement procedure mediated by double-strand breaks and via a CRISPR-Cas9 based system (; Qin et al., 2018; Liu et al., 2023). The latter was used to engineer the TCA cycle for PHBV production and for de novo synthesis of the 4-hydroxybutyrate-CoA (4HB) pathway for P3HB4HB production (; Ye et al., 2020). Further optimization approaches for PHA production include the investigation of a set of different promoters, starting from Pporin which is a strong constitutive promoter commonly used in Halomonas sp. Based on mutations in the core sequence of this promoter, a promoter library with a wide range of transcriptional strength was created and its tunability was then demonstrated by regulating the PHA biosynthetic pathway (Shen et al., 2018). A novel type of T7-like inducible promoter systems were identified, one of which was used to express the cell-elongation cassette and PHB biosynthetic pathway reaching a 100-fold increase in cell lengths and a final concentration of 92 % PHB by cell dry weight which is the highest titer reached so far (Zhao et al., 2017). By the use of high-resolution control of gene expressions (HRCGE) system, the 4HB pathway was fine-tuned by titrated IPTG concentrations and varying promoter combinations. Once the fine-tuned pathway was integrated into the genome of the mutant of the two succinate-semialdehyde dehydrogenases (ΔgabD2 and ΔgabD3), P3HB4HB synthesis was realised and reached 75 % (wt) (Ye et al., 2020). Other studies designed a synthetic oleic acid induced promoter and two other inducible systems induced by acyl homoserine lactone and IPTG for controllable gene expression (Ma et al., 2020; Ma et al., 2022). A CRISPR interference approach was also established in H. bluephagenesis. This system was used to repress the 2-methylcitrate synthase prpC and the citrate synthase gltA genes which reached the accumulation of PHBV of 82 % and 72 % (wt), respectively, without affecting growth (Tao et al., 2017). Recently, the CRISPR-Cas9 genomic engineering system developed by Qi et al. was further optimized by using dual-sgRNA enabling large genomic deletions up to 50 kb. In sum, 3 % of the whole genome was reduced by deleting flagella, exopolysaccharides (EPSs), and O-antigen gene clusters. For the first time, this mutant was efficiently transformed through electroporation and gained the ability to self-flocculate which facilitates separation procedures. This achievement is the first genome-reduced Halomonas strain (Qin et al., 2018; Xu et al., 2022).
Although H. bluephagenesis synthesize only PHB from unrelated carbon sources, it has emerged as a strong candidate for industrial PHA production with the establishment of a tractable genetic system, the completion of genome sequencing, and the wide application of metabolic engineering. Finally, by producing ectoine, this microbe stands also as a future chassis for the co-production of different valuable biomolecules in open unsterile, and continuous growth conditions (Ma et al., 2020; Hu et al., 2024).
4.3 Paenibacillus polymyxa
Paenibacillus polymyxa is a facultative anaerobe and endospore forming bacterium which is used as a biofertilizer due to its plant growth-promoting abilities: it solubilises phosphate, fixates nitrogen and acts as a biocontrol agent against different pathogens. As such, P. polymyxa produces a wide range of antibiotic compounds which are of great interest in agriculture, medicine and food processing (Padda et al., 2017; Jeong et al., 2019; Langendries and Goormachtig, 2021). Furthermore, it has garnered an enormous interest for its ability to use different carbon sources and for the production of R,R-2,3-butanediol (2,3-BDL), and EPS (; Schilling et al., 2020).
2,3-BDL and its derivatives are used in a variety of applications, from next-generation fuels, precursor for pharmaceuticals, cosmetics or food preservatives. Nowadays, there is a strong need of an optimised environmentally friendly alternative (Maina et al., 2022). By mainly producing the relevant (2R,3R) isomer, P. polymyxa DSM 365 is regarded as an efficient producer ensuring a great advantage with a higher purity compared to other known pathogenic 2,3-BDL producing organisms. Physical parameters and fermentation conditions have a profound effect on the final product concentration, as shown in many studies (Häßler et al., 2012; Okonkwo et al., 2017; Ju et al., 2023). With 111 g/L, Häßler et al. have reported the highest concentration obtained by P. polymyxa to date (Häßler et al., 2012). Improvements of the 2,3-BDL production were also achieved through genetic engineering. For the first time, Schilling et al. rationally metabolic engineered P. polymyxa improving the carbon flux towards 2,3-BDL by deletion of one lactate dehydrogenase and overexpressing the butanediol dehydrogenase (Schilling et al., 2020). The same authors were also able to increase the production by using the full potential of a CRISPR mediated transcriptional perturbation tool in which three ldh genes were downregulated at the same time with the upregulation of the bdh gene and showed the redirection of the carbon flux from lactate to 2,3-BDL (Schilling et al., 2021).
Within the last few years, P. polymyxa has gained more interest also as a producer of different interesting exopolysaccharides (Raza et al., 2011; Rütering et al., 2016). They are used in a variety of applications from food to cosmetics to pharmaceuticals and many others (Freitas et al., 2015; Paul et al., 1986; Schilling et al., 2020). P. polymyxa is a natural and avid producer of exopolysaccharides which showed to have great potential new properties compared to already commercialized ones (Rütering et al., 2017, Rütering et al., 2018). Depending on the carbon source and the C/N ratio, it can produce a levan-type polyfructan or heteropolysaccharides (Rütering et al., 2016). After many attempts over the last 50 years, using combinatorial knock-outs of functional genes and by combining analytical methods, it was finally discovered that the heteroexopolysaccharide produced by P. polymyxa consists of three distinct polymers which were named paenan I, paenan II and paenan III (Schilling et al., 2022; Schilling et al., 2023b).
Many of these discoveries were facilitated by the efficient editing system based on CRISPR-Cas9 developed in 2017 (Rütering et al., 2017). This system was successfully applied further for large genomic deletions up to 59 kb using one single sgRNA and multiplexing modifications (Rütering et al., 2017; Meliawati et al., 2022; Ravagnan et al., 2024). Indeed, this tool enabled the construction of two robust genome-reduced variants lacking the production of endogenous biosynthetic gene clusters or nonessential genomic regions including the insertion sequence ISPap1. The growth characteristics and the desired product formation of the two variants were maintained at wt-level, an extremely important achievement and starting point for future targeted genetic modifications (Ravagnan et al., 2024). To add to the list of molecular biology tools available in this species, a multiplex base editing system by fusing the dCas9 with a cytidine deaminase to mediate C to T substitutions and, as previously mentioned, a CRISPR-Cas12a tool for mediated activation (CRISPRa) and interference (CRISPRi) were developed (Kim et al., 2021; Schilling et al., 2021). The latter tool enabled a deeper understanding of P. polymyxa metabolism both for 2,3-BDL and EPS production and could help guide other future metabolic engineering strategies (Schilling et al., 2021). Aside from CRISPR systems, other genetic engineering tools have been described, even if less efficient (; Kim and Timmusk, 2013). Finally, heterogeneous promoters and inducible promoters have already been tested in P. polymyxa (; Wang et al., 2022; Wang et al., 2024). Heinze et al. evaluated 11 different promoters from Bacillus species for the expression of cellulases in P. polymyxa (Heinze et al., 2018). Through high-throughput screening, a novel strong and constitutive promoter PLH-77 was identified (Li et al., 2019). The same authors investigated 22 native promoters based on a transcriptomic dataset in which they identified another very strong promoter, especially for the optimization of indol acetic acid (IAA) production (Sun et al., 2022).
As a non-pathogen, P. polymyxa has great potential as a cell factory especially due to its versatile metabolism and the available tools for both genetic and metabolic engineering. The recent tool developed by Meliawati et al. substantially advanced the application of the Cas9-based approach for P. polymyxa (Meliawati et al., 2022). Additionally, the discovery made by Schilling et al. increased the knowledge of this versatile producer paving the way for new approaches toward tailor-made exopolysaccharides with desirable material properties for medical and industrial applications that could outcompete existing oil-based polymers (Schilling et al., 2022; Schilling et al., 2023a; Schilling et al., 2023b).
4.4 Schlegelella brevitalea
The reputation of Schlegelella brevitalea is mostly due to its native production of the novel type of antifungal and antitumor glidobactins, and its efficient heterologous production of several kinds of secondary metabolites, especially the antitumor epothilones (; ; Wang X. et al., 2018). Currently, the original producer Sorangium cellulosum is used in the industrial production of epothilones (). However, this strain shows many disadvantages, such as slow growth and difficulties in genetic modifications (Julien and Shah, 2002; Julien and Fehd, 2003). Therefore, much work has been done to improve epothilones production by S. brevitalea. The epothilone cluster of S. cellulosom was integrated into the genome of S. brevitalea DSM 7029 resulting in the 75-fold increased epothilone yield of 307 μg/L through the optimization of the medium and introducing propionyl-CoA carboxylase (PCC) genes and rare tRNA genes (). Reintegration of another epothilone cluster from a different strain of S. cellulosum and again engineering of the precursor pathway enabled an improved titer of 82 mg/L in 6-day fermentation, a comparable result to the industrial producer S. cellulosum (Yu Y. et al., 2020). Further studies focused on other approaches to improve its production, starting from transporter engineering, overexpression of ferredoxin genes, functional hybrid polyketide synthases (PKS) generation, swapping domains, and both random and site-directed mutagenesis (Liu et al., 2018; Liang J. et al., 2020; Wang H. et al., 2021; Wang et al., 2023).
A series of genome-reduced S. brevitalea chassis strains were developed and tested for its heterologous BGC expression capacity (Liu et al., 2021). Two parallel deletion routes were taken: the first one deleted 8 BGCs (DC mutants), the second one sequentially removed few BGCs, several transposases, GIs, prophages, and vicinal nonessential genes (DT mutants). The DT mutants showed decreased autolysis with related improved growth characteristics, 16-fold higher transformation efficiencies, and improved yields of heterologous secondary metabolites up to 13-fold. These results demonstrate the feasibility and improved robustness of these genome-reduced mutants for secondary metabolite expression compared to both the wild type and common platform chassis E. coli and P. putida.
With an efficient genome editing system based on the novel bacteriophage recombinases Redαβ7029, which was recently further improved for multiplexing (Wang X. et al., 2018; Wang X. et al., 2021), several native promoters were tested for heterologous expression (Ouyang et al., 2020; Liu et al., 2021) and successful production of different heterologous secondary metabolites including epothilones, vioprolides, rhizomides, holrhizin, and more (Yan et al., 2018; Zhong et al., 2021), S. brevitalea stands out as promising future chassis.
5 Conclusions and future perspectives
Throughout the years industrial biotechnology has made remarkable progress. Traditional microbes are continuously genetically improved and new microbes are identified and brought towards development as future chassis. Unconventional microbes possess unique characteristics and consequently are required for more tailored bioprocesses to cover the whole industrial product portfolio and the whole substrate field. Still, there is a need to expand the synthetic biology, systems biology and high-throughput techniques to a wider range of bacteria, especially these non-model organisms. Gathering more and more data enables the creation of new available tools for the specific microbe, and data-driven gene annotations advance these less studied organisms to “model-organism” status. Accurate gene annotations would also favour the construction of more reliable, robust, genome-reduced strains. Once many well-established genome-reduced strains will be created, they should be rendered available to the community to use them as starting strains to further engineer and exploit in industry. This might be done by providing them in publicly available strain collections such as ATTC, DSMZ or Addgene, or providing them in an academic background similar to the Keio collection of E. coli of which several millions of samples have been distributed by the National Institute of Genetics of Japan. This will massively help to speed up the development of efficient production strains in the future.
In this review, we have delved into the benefits provided by genome reduction strategies and their future directions, also by describing how genome reduction has been applied in C. glutamicum achieving an efficient chassis. As we have also reported, genome reduction has started to be applied in non-model organisms demonstrating its relevance and feasibility as a tool for host optimisation. Indeed, we envision new genome-reduced strains with improved characteristics soon.
Statements
Author contributions
GR: Writing–review and editing, Writing–original draft, Visualization, Validation, Formal Analysis, Data curation, Conceptualization. JS: Funding acquisition, Writing–review and editing, Visualization, Validation, Formal Analysis, Conceptualization.
Funding
The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study is part of the German Federal Ministry of Education and Research (BMBF) funded project Polymore with the no.031B0855A.
Acknowledgments
We acknowledge support from the Open Access Publication Fund of the University of Münster.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Publisher’s note
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Summary
Keywords
genome reduction, chassis, genetic engineering, non-model microbes, bacteria
Citation
Ravagnan G and Schmid J (2024) Promising non-model microbial cell factories obtained by genome reduction. Front. Bioeng. Biotechnol. 12:1427248. doi: 10.3389/fbioe.2024.1427248
Received
03 May 2024
Accepted
12 June 2024
Published
05 August 2024
Volume
12 - 2024
Edited by
Si-Yu Li, National Chung Hsing University, Taiwan
Reviewed by
Mugesh Sankaranarayanan, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, India
Richard Kelwick, Imperial College London, United Kingdom
Updates
Copyright
© 2024 Ravagnan and Schmid.
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*Correspondence: Jochen Schmid, jochen.schmid@uni-muenster.de
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