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Rebooting life: engineering non-natural nucleic acids, proteins and metabolites in microorganisms

Abstract

The surging demand of value-added products has steered the transition of laboratory microbes to microbial cell factories (MCFs) for facilitating production of large quantities of important native and non-native biomolecules. This shift has been possible through rewiring and optimizing different biosynthetic pathways in microbes by exercising frameworks of metabolic engineering and synthetic biology principles. Advances in genome and metabolic engineering have provided a fillip to create novel biomolecules and produce non-natural molecules with multitude of applications. To this end, numerous MCFs have been developed and employed for production of non-natural nucleic acids, proteins and different metabolites to meet various therapeutic, biotechnological and industrial applications. The present review describes recent advances in production of non-natural amino acids, nucleic acids, biofuel candidates and platform chemicals.

Introduction

The global trend towards production of natural molecules from renewable and sustainable sources has increased seen a gradual increase over the past decades. The technological advancements in metabolic engineering and synthetic biology toolboxes have opened up newer avenues for the production of natural as well as non-natural metabolites [1–3]. Non-natural metabolites exhibiting higher effectiveness could add more values in fulfilling various industrial and medicinal purposes. Given the advantages and possibilities that non-natural entities such as nucleic acids, proteins, metabolites and value-added chemicals endow (Fig. 1), the development of efficient microbial chassis that produces the same is of higher interest [1, 4].

Fig. 1
figure 1

Schematic representation of utilities of non-natural entities. The figure was created with Biorender.com

Non-natural molecules or chemicals can be defined as those that are not found in nature but it can be synthesized using host organisms by introducing heterologous enzymatic pathways and combinatorial approach of metabolic engineering [5, 6]. Metabolic rewiring or assembling heterologous pathways in a microbial chassis is usually employed to produce non-natural molecules [7]. The primary goals of metabolic rewiring for biosynthesizing a novel or non-natural molecule include utilization of a wide range of inexpensive substrates, directing metabolic fluxes toward target products, improving stress tolerance to inhibitory products, and reducing upstream and downstream processing costs [8–11].

A combination of protein engineering, systems and synthetic biology, metabolic engineering and evolutionary engineering, along with an in-depth analysis of metabolic and regulatory networks, results in optimization of the production process by constructing efficient pathways [1, 9, 10, 12, 13]. Various strategies have been adopted to successfully implement the combinatorial approach, such as de novo pathway design, enzyme engineering, and in silico pathway prediction [10]. Computer-based prediction of synthetic pathways involves identification of possible pathways based on chemical transformation, thermodynamic favorability, enzyme docking with substrates, and the number of reactions. The most suitable organism is then selected for synthetic expression of the desired target product [1, 10]. This combinatorial approach results in the rapid development of highly-efficient microbial cell factories capable of producing a variety of value-added compounds with no known natural biochemical routes for their production.

Research towards production of non-natural metabolites has gained momentum in recent years owing to their economic relevance. Escherichia coli and Saccharomyces cerevisiae are the most widely used host for metabolic rewiring [14]. Both conventional and inexpensive substrates have been utilized in the production processes and systems biology strategies such as promiscuous enzyme screening, pathway balancing, in silico flux response analysis and thermodynamic analysis [12, 15]. For example, 1,2,4-butanetriol is a non-natural compound used in the pharmaceutical industry and is a precursor of the plasticizer 1,2,4-butanetriol trinitrate. Metabolically engineered S. cerevisiae has shown to improve 1,2,4-butanetriol production by expressing 2-ketoacid decarboxylase from Lactococcus lactis [16, 17]. Several other host microorganisms have been employed for the production of non-natural metabolites such as, the examples of which are Corynebacterium glutamicum and C. crenatum for 2-methyl-1-butanol [18, 19], S. cerevisiae for 1,2,4-butanetriol [20], and  Cupriavidus necator for 1,3-butanediol [21], etc.

The production of non-natural amino acids has also been an interesting area of research as they find many applications in therapeutics and bioplastics. 6-aminocaproic acid and 5-aminovaleric acid are two such non-natural amino acids synthesized by employing metabolic pathway engineering of E. coli and C. glutamicum, respectively [22, 23]. Genomes composed of non-natural nucleic acids are postulated to increase biostability. These are formed by incorporating non-natural base pairs by alternate hydrogen bonds, altering the phosphodiester bonds or substitution of the funarose ring structure [24, 25].

In this review, we discuss recent advances in metabolic rewiring to develop non-natural molecules. We focus our attention on the latest biotechnological developments in producing non-natural metabolites, amino acids and nucleic acids.

Production of non-natural metabolites

Bio-based platform chemicals represent the group of molecules possessing multiple functional groups capable of producing a wide range of value-added products [26]. Bio-based non-natural platform chemicals use as biofuels, bioplastics, industrially-valuable chemicals and biopharmaceuticals [27–29]. The best-studied production hosts for non-natural chemicals are E. coli, S. cerevisiae and C. glutamicum [14, 30]. Table 1 lists non-natural platform chemicals and strategies used for their microbial production.

Table 1: Non-natural platform chemicals and strategies used for microbial rewiring

Diols and their derivatives are compounds with two hydroxyl groups and are used as chemicals, polymers and biofuels [29]. A variety of approaches have been used for the development of strains for synthesis of non-natural diols. Ethylene glycol, 1,2-propanediol, 1,3-propanediol, 2,3-butanediol, 1,3-butanediol, 1,4-butanediol, 1,3-pentanediol, 1,5- pentanediol and 2,4-pentanediol are some examples of diols, of which the first four diols are produced via natural metabolic pathways while the rest are biosynthesized by altering and modifying existing pathways or via synthetic pathways [14, 31].

Industrially important 1,3-diols have been produced by assembling synthetic pathways in several host organisms. In a study, a pathway for (R)-1,3-butanediol production was modified to include bktB (thiolase) and phaB (NADPH-dependent acetyl-CoA reductase) from Ralstonia eutropha, pct (propionate Co-A transferase) from Megasphaera elsdenii, bed (butyraldehyde dehydrogenase) from Clostridium saccharoperbutylacetonium, along with alcohol dehydrogenase from E. coli. This study reported the first-ever microbial production of 1,3-pentanediol and 4-methyl-1,3-pentanediol [31]. The natural metabolic pathway for the production of 1,5-pentanediol is not known. A group of researchers developed a non-natural pathway for the production of 1,5-pentanediol by utilizing low-cost carbohydrates as feedstock. Strategies comprising systematic enzyme screening, transporter engineering and pathway balancing were employed to engineer E. coli [27]. Wang et al. [14] constructed non-natural pathways having the potential of converting amino acids to C3-C5 diols. A platform was curated that led to the conversion of seven amino acids into diols such as 1,3-propanediol, 1,4-butanediol and 1,5-pentanediol from glucose.

6-aminocaproic acid is a non-natural straight chain amino acid that acts as a monomer for polymer synthesis. Turk and co-workers [32] pioneered a study on the biosynthesis of 6-aminocaproic acid via fermentation. Engineering the metabolic pathway, enzyme characterization and insersion of the expression cassettes into the microbial host led to production of 160 mg L−1 of 6-aminocaproic acid in laboratory-scale batch fermentations. Another group of researchers studied the artificial iterative carbon-chain extension cycle for non-natural amino acid production, wherein they used α-ketoacid as substrate for LeuABCD-catalyzed carbon-chain extensions. This study presented a novel strategy for producing non-natural straight chain amino acids from renewable feedstock using metabolic engineering [33].

Another non-natural chemical, 2,4-dihydroxybutyric acid (DHB), is a valuable precursor for the synthesis of a 2-hydroxy-4-(methylthio)butyrate methionine analogue. In a study, computer-aided engineering of template enzyme was carried out using sterically cognate substrates. Mutant libraries were generated by molecular modelling and structural analysis revealed involvement of three enzymes, i.e., malate kinase, malate semialdehyde hydrogenase and malate semialdehyde reductase. When the pathway was expressed in E. coli, 1.8 g L−1 titer of DHB was obtained [34]. Malonic acid is yet another chemical used in various industrial processes and to further produce value-added compounds. In a study, E. coli was engineered to produce malonic acid through the β-alanine route. Candidate semialdehyde dehydrogenases was screened for the production of malonic acid, out of which the best producing combination of enzymes was selected and introduced in a β-alanine producing strain. Fed-batch cultivation was carried out to demonstrate the production of malonic acid [35].

The several pathways, namely, isoprenoid pathway, keto-acid pathway, CoA-dependent reverse β-oxidation, fatty acid biosynthesis pathway and polyketide biosynthesis pathway have been used to produce non-natural biofuel candidates [36–38]. Low yields, high-cost and formation of undesirable side-products are major bottlenecks that can be eliminated by fine-tuning gene expression and screening the best combination of genes to yield the desired biofuel [39, 40]. In an interesting study, biosynthesis of the non-natural biofuel candidate 2-methyl-1-butanol (2-MB) was carried out in C. crenatum by introducing a synthetic metabolic pathway. Production of 2-MB was further enhanced by using factor combination design (FCD). The FCD consisted of four optimized parameters: pH, IPTG concentration, fermentation temperature and incubation time. It was observed that the predicted value of FCD was consistent with the higher yield of alcohols [19].

Several studies have reported the production of non-natural biofuels from the isoprenoid (terpenoids or terpenes) pathway by overexpressing endogenous genes of the deoxyxylulose-5-phosphate pathway responsible for development of isoprenoid backbone in prokaryotes, introducing the mevalonate pathway responsible for the same in eukaryotes, and optimizing non-native genes [41]. High-yield production of three C5 alcohols, 3-methyl-3-buten-1-ol, 3-methyl-2-buten-1-ol and 3-methyl-1-butanol, has been achieved by engineering the heterologous isoprenoid pathway in E. coli. The Shine-Dalgarno sequence of nudB, a phosphatase that was the main bottleneck of the pathway, was engineered. This led to a 9-fold increase in protein production. Mevalonate kinase expression was also optimized to achieve 2.23 g L−1 of 3-methyl-3-buten-1-ol, 150 mg L−1 of 3-methyl-2-buten-1-ol, and 300 mg L−1 of 3-methyl-1-butanol [42].

Advanced biofuel production from the keto-acid pathway starts with decarboxylation of keto-acids and further its reduction to form long-chain alcohols. A study demonstrated the production of 4-methyl-1-pentanol (4-MP) from engineered E. coli using the keto-acid pathway. In this study, retro-biosynthetic screening was used to design a high-yielding modular pathway for production of 4-MP as it enables exploration of enzyme diversity for greater conversion efficiency. The pathway modification involved selection of enzymes from nine different organisms to form an extended de novo pathway to produce 4-MP. The production pathways were designed and structured into four modules for identification of the most suitable enzymes to achieve high titer of 4-MP [43].

CoA-dependent reverse β-oxidation and fatty acid biosynthesis is used for the production of non-natural alcohols with the help of gene mining and engineering. A study attempted fine-tuning the specificity of L. lactis ketoisovalerate decarboxylase towards 1-pentanol. The enzymes encoded by leuABCD use acetyl-CoA to catalyze the elongation of 2-keto-acid. Saturated mutagenesis of the key residue, V461, led to a substantial increase in 1-pentanol selectivity. In situ, oleyl alcohol extraction was used to obtain a final titer of 4.3 g L−1 of 1-pentanol [44]. In another study, selective production of gasoline-range alkanes was achieved by engineering E. coli. The reverse β-oxidation synthesis route was used as an efficient alternative as compared to the fatty acid synthesis route to produce propane, butane and pentane. The  conversion of specific free fatty acids to alkanes was carried out by broad-specificity carboxylic acid reductase and mutant cyanobacterial aldehyde decarboxylases [45].

Several studies have reported modifying the intrinsic metabolic pathways of various cyanobacterial species for the photosynthetic conversion of carbon dioxide to a variety of chemicals. In one such study, synthetic metabolic pathways were introduced in Chlamydomonas reinhardtii and Synechocystis sp. PCC 6803 leading to an increase in hydrocarbon accumulation by 8- and 19-fold, respectively [46]. The first reported production of fatty acid ethyl esters (FAEEs) from carbon dioxide was obtained in a model cyanobacterium, Synechococcus elongatus PCC 7942. A heterologous wax ester synthase (AftA) was expressed in the cyanobacterium, wherein, introduction of ethanol production pathway in the cell lead to production of FAEEs; further enhancement in the production of FAEEs was achieved by expressing a heterologous phosphoketolase pathway [47].

Production of non-canonical amino acids and incorporation in proteins

Non-natural (or non-canonical) amino acids (ncAAs) are incorporated into proteins to enhance or modify their properties [48]. To date, more than 200 ncAAs have been successfully incorporated in prokaryotic and eukaryotic organisms [49–52]. Incorporation of ncAAs has been explored for multiple applications, including protein labelling [53]; biomolecular targeting by binding and reacting with fluorescent probes [54–56]; identifying and understanding protein interactions [57–59]; real-time tracking and in vivo imaging [60, 61]; establishment of biocontainment systems [62, 63]; making novel biomaterials [64]; developing antimicrobial peptides [65–67]; and for generating novel biocatalysts [68–70].

For site-specific incorporation of ncAAs in proteins, an orthogonal tRNA/aminoacyl-tRNA synthetase (aaRS) pair that recognizes nonsense (usually amber stop codon (UAG)), rare or quadruple codons (e.g., UAGN, AGGA) is used [71, 72]. The non-sense codons are widely used because of their simplicity. In such system, the suppressor tRNA is used for incorporation of ncAAs by recognition of non-sense codons. However, one of the drawbacks of such system is that the ncAA would also be incorporated to the site where the non-sense codon such as amber codon terminates the protein synthesis. Rare codons are the sense codons that are rarely used in the organisms and their corresponding tRNA is present in meagre amount. For example, arginine and proline codon in E. coli are rarely used and therefore can be directly used for site specific incorporation of ncAAs. The same can also be used for extending the codon. For example, a stretch of mRNA sequence consisting of 4 or 5 base codons, could be recognised by extended aa-tRNA anticodons and used for site specific incorporation of ncAAs in the protein of interest. One of the advantages of using such a system is that inclusion of ncAAs and thereby the extension of the reading frame prevents the premature termination of the protein synthesis instead of the conventional halt as read by the endogenous tRNA [73]. However, orthogonal pairs need to work proficiently without being recognized by the native tRNA and aaRS [74, 75]. This requires screening of compatible orthogonal pairs that have high levels of read-through of targeted codons [74] (Fig. 2). Four major orthogonal tRNA-aaRS pairs, namely, Methanocaldococcus janaschii tyrosyl-tRNA synthetase (Mj TyrRS)-tRNACUA for E. coli, E. coli TyrRS–tRNACUA and E. coli leucyl-tRNACUA (Ec LeuRS-tRNACUA) for yeast and eukaryotes, and Methanosarcina pyrrolysyl-tRNACUA (M PylRS-tRNACUA) for bacteria, eukaryotes and animals, are extensively used for site-specific incorporation of ncAAs [48, 76–78].

Fig. 2
figure 2

Expanding the genetic code via incorporation of nonstandard amino acids (nsAAs) into proteins. For successful site-specific insertion of ncAAs in proteins, an orthogonal tRNA/aminoacyl-tRNA synthetase (aaRS) pair is required that aminoacylate and incorporate nsAA or chemically close standard amino acid (sAA); without being recognized by the native tRNA and aaRS. The figure is adopted from Arranz-Gibert et al. [78] ©MDPI

ncAAs can be either produced within the cell or can be supplied externally in the growth medium. Several bacterial strains have been engineered for production of ncAAs [79, 80]; for example, production of L-azidohomoalanine (AHL), a methionine analogue, can be synthesized from L-homoserine by expressing the sulfhydrylation pathway in E. coli [81]. Elimination of methionine synthase (metE) enables efficient incorporation of AHL over its natural analogue into recombinantly expressed protein [81].

L-2-aminobutyric acid (L-ABA) is a ncAA that can be biosynthesised in E. coli overproducing L-threonine. L-ABA can be produced from L-threonine via formation of 2-ketobutyric acid by overexpression of leuDH from Thiobacillus intermedius [82]. Another ncAA, S-phenyl-L-cysteine, can be biosynthesized within the cell by manipulating the cysteine biosynthetic pathway [83].

The efficiency and specificity of aaRS can be enhanced by mutating its active site [84]. Another proven strategy is to create a library of diversified aaRS employing computational enzyme design methods, resulting in increased efficiency of insertion by up to several folds [84]. Optimization of the fermentation medium and supplementing ncAAs (1–10 mM) could also improve protein expression by many folds [85]. Some recent studies on incorporating ncAAs in proteins using different orthogonal pairs in various bacterial systems are listed in Table 2.

Table 2 Recent studies on expansion of the genetic code in bacteria and yeast

To achieve 100% efficiency of ncAA incorporation in proteins using UAG as codon, the elimination of release factor-1 (RF-1) is necessary. RF-1 recognizes UAG codon and terminates translation [86, 87]. Knocking-out RF-1 eliminates the competition between charged amber suppressor tRNA and RF-1, leading to complete re-assignment of UAG as a sense codon. However, the yield of the recombinant protein obtained is compromised as eliminating RF-1 is lethal to the cell [86]. To ameliorate this situation, 95 UAG codons in the E. coli genome were replaced with the other stop codons allowing safer elimination of RF-1 factor and facilitating modified protein production at larger scale [87].

The rare promiscuous activity of Mj TyrRS towards tRNAUCCU is exploited for inserting ncAA via AGGA quadruplet codons [88]. However, arginine aminoacylates tRNAUCCU and thus competes with ncAA for charging and incorporation into protein at AGGA codons. Replacing A38 base with cytosine in tRNAUCCU results in decreased arginine charging and hence increased incorporation of ncAA into protein. Furthermore, the first three bases of AGGA quadruplet codons is a rare codon and can be recognized via arginine tRNACCU. Knocking out arginine tRNACCU aids in efficient incorporation of ncAA via A38C tRNAUCCU without affecting growth of E. coli [88].

Incorporation of non-natural bases in nucleic acids

A set of new properties such as greater stability or activity can be achieved by introducing additional functional groups into DNA and RNA, the natural nucleic acids [89]. Xeno nucleic acids (XNAs) have the potential of replacing DNA and RNA to introduce desired features into the existing genome. An advantage of non-natural nucleic acids is their ability to resist degradation; therefore, expression level of inserted genes is high [90–92]. However, challenges such as biocompatibility with polymerases for recognition and efficiently converting information in the central dogma still persist and demand to be addressed [93].

Nucleic acids could be either modified by altering the nucleotide base, sugar moiety or the phosphate group (Fig. 3a) [24]. Substitution of the nucleobase can modify the base-paring properties in nucleic acids. The bases A, T, G and C are substituted or modified in the nucleotide structure. Modified bases include N6-methyl adenine, 5-methyl cytosine, 5-hydroxymethyl cytosine (Fig. 3b), 5-formyl cytosine, 5-carboxycytosine and 5-(hydroxymethyl)uridine (Fig. 3b) [94, 95]. Two studies were conducted on replacing the canonical nucleoside with the modified ones by rewiring the pyrimidine biosynthetic pathway of E. coli using codon-optimized bacteriophage genes. In one such study, 75% of thymidine in the genomic DNA of E. coli was successfully replaced with 5-(hydroxymethyl) uridine (5hmU) (Fig. 3b) [95], while in the other study, 63% of genomic 2′-deoxycytidine in E. coli was replaced with 5-(hydroxymethyl) cytidine (5hmC) (Fig. 3b); whereas, the same in case of plasmid happened to be 71%. Besides, the said study also reported to modify 20 and 45% of 5hmC to glucosyl-5-hydroxymethyl-2′-deoxycytidine (5-gmC) in the genome and plasmids of E. coli, respectively, by engineering its glucose metabolic pathway [94]. Furthermore, a random mutagenesis approach exhibited to enhance their incorporation into the genomic DNA. Modified nucleosides were found to play a vital role in regulating transcription, and stabilizing epigenetic modifications and restriction-modification systems in both prokaryotic and eukaryotic systems [94, 95].

Fig. 3
figure 3

Various XNA chemical structures. a Different strategies incorporating possible chemical alteration in nucleic acid structure which includes nucleobase, sugar, 2ʹ-ribose and phosphate modifications b Examples of nucleobase modified XNA molecules, including g 5-chloro-20-deoxyuridine (5ClU), 5-methyl-20-deoxycytidine (5MeC), 5-fluoro-20-deoxycytidine (5FC), 7-deaza-20-deoxyadenosine (7dA), 7-deaza-20-deoxyguanosine (7dG), 7-fluoro-7-deaza-20-deoxyguanosine (7FG), and 20-deoxyinosine (dI). c Examples of sugar modified XNA molecules, including hexitol nucleic acid (HNA), cyclohexenyl nucleic acid (CeNA), threose nucleic acid (TNA), 30–20 phosphonomethyl-threosyl nucleic acids (tPhoNA). 4ʹ-ribose-modified 4ʹ-thioDNA, arabino nucleic acid (ANA), 20-fluoro-arabino nucleic acid (FANA), and locked nucleic acid (LNA). d Examples of 2ʹ-ribose modified XNA molecules, including LNA, 20-O-methyl DNA (20-OMe-DNA), and 20-fluoro DNA (20-F-DNA). e Examples of phosphate modified XNA molecules, including tPhoNA, 50–30 phosphonomethyl-deoxyribosyl nucleic acids (dPhoNA), phosphorothioate modified DNA (PS-DNA), TriazoleDNA, and PN-DNA. f Examples of stereoisomeres molecules, including mirror-image nucleic acid (L-DNA). The figure is reproduced with permission from Eremeeva and Herdewijn [24] ©Elsevier

Unnatural base pairing (UBPs) focuses on introducing a third-base pair apart from A-T and G-C into DNA. It has been demonstrated in vitro that UBPs are biologically functional during translation, transcription and replication [96]. A study demonstrated in vivo transcription of DNA in a semi-synthetic organism with the unnatural base pair dNaM-dTPT3 leading to site-specific integration of natural or unnatural amino acids in green fluorescent protein. It was observed that the semi-synthetic organism could grow robustly and stably maintain the modified genetic material [97].

XNA aptamers with sugar modifications have greater stability as well as higher affinity to target molecules. Amplification of a highly modified DNA using only unnatural dNTPs carried out by employing different DNA polymerases to incorporate 2′-deoxy-4′-thionucleoside 5-triphosphates (dSNTPs) have shown that the B DNA polymerase family is able to integrate dSNTPs by a single nucleotide insertion and primer extension. The oxygen atom in the furanose ring in 2′-deoxy-4′-thioribonucleic acid (4′-thioDNA) (Fig. 3c) is substituted by a sulphur atom. This modification in the nucleic acid structure confers higher nuclease resistance [98].

In another study, hexitol nucleic acid (Fig. 3c) (HNA)-DNA mosaic backbone was modified by incorporating 5-methyl-isocytosine and isoguanine nucleosides. The results demonstrated that the backbone scaffold of the base resulted in vivo mispairing and misincorporation, hence leading to orthogonality [99]. Other examples of non-natural nucleic acids include cyclohexenyl nucleic acid (CeNA) (Fig. 3c) [100] and 20-fluoro-arabino nucleic acid (FANA) (Fig. 3c) [101]. A novel enzyme 3′–2′ phosphonomethyl-threosyl nucleic acid (tPhoNA) (Fig. 3c and e) synthase was engineered with an already described XNA reverse transcriptase. The results demonstrated tPhoNA to be a viable genetic material [92]. Other such XNA chemistries are shown in Fig. 3 along with their structures.

In phosphate modified XNAs, the conventional phosphate diester bonds are substituted by a different functional group. A study demonstrated the extension of 3-amino terminated primers in Bacillus stearothermophilus by DNA polymerase. The cofactor Mg2+ was replaced by Ca2+ which led to an increase in the reaction rate by five times and the incorporation of 3′-amino-2′,3′-deoxynucleosides 5-triphosphate to yield N3′-N5′ phosphoramidate (NP) bonds. The reaction rate was observed to further increase by 21-fold by a single active site mutation. The template-directed activity led to NP-DNA backbone linkage [102]. In an interesting study, enzyme-free oligonucleotide assembly into a gene by click-DNA ligation method was described for overcoming the drawbacks of chemical synthesis of oligonucleosides. Increased biocompatibility of a triazole-containing DNA in E. coli was observed by making an epigenetic variant of the iLOV gene [103].

Artificially expanded genetic information systems (AEGIS) have been incorporated in living cells to help replicate plasmids made from such systems. This is one of the methods to expand the genetic alphabet through unnatural metabolites and systems [104]. Researchers have developed methods, applicable to almost all unnatural systems that can be used for phosphorylation of unnatural nucleotides using kinases. Synthesis and evaluation of both natural as well as non-natural deoxyribonucleoside triphosphates as polymerase substrates were carried out. 6-amino-5-nitro-3-(1′-β-D-2′-deoxyribofuranosyl)-2(1H)-pyridone and 2-amino-8-(1′-β-D-2′-deoxyribofuranosyl)-imidazo[1,2-a]-1,3,5-triazin-4(8H)-one are the two AEGIS nucleoside diphosphates. In vitro formation of dNTPs and its incorporation into DNA has already been demonstrated [105].

Non-natural nucleic acids have a number of advantages over their natural counterparts such as biostability and potential for orthogonality. Modifications in the sugar moiety, nucleobase or phosphate group of DNA lead to increased activity and stability and for the most part are recognized by the cellular machinery. UBPs are used for the development of semi-synthetic microorganisms, however, only a few unnatural nucleic acids have been reported to completely replace DNA or RNA.

Conclusion and perspectives

This review presents recent studies on the production of non-natural molecules by metabolic engineering of host microorganisms. Incorporation of non-natural nucleic acids and ncAAs has enabled researchers to explore possibilities of novel information storage molecules and biocatalysts that can confer useful properties to cells. However, more stringent selection platforms are needed that could enhance the incorporation of non-natural nucleic acids into the host organisms without the possibility of eruption of undesirable responses. In order to achieve the same, investigation related to the response of physiological regulators which limits the replacement of natural to the non-natural moiety in the genomic template of host organisms must be implemented [95]. In addition, in an effort to replace the natural moiety with its non-natural counterpart at genomic scale, several mutations have been observed in the host organisms and thus the reduction of the same could be the future direction of work in the XNA field [93]. Apart from that, FANA has been an invaluable tool for therapeutic lead discovery, functional genomics and structural biology. However, given the fact that FANA can stabilize and tune several nucleic structures, the same has also the potential in FANA-based sensors for in-cell experiments [101]. Several strategies have also been developed for incorporation of ncAA into the proteins; however, there are few of the limiting factors that need to be addressed to achieve the same with ease and in an efficient manner. For example, the incorporation of bulky or extremely charged ncAAs into the protein is a challenging task as it is difficult for such a structure to cross the cell membrane. Propeptide strategy or engineering the host transport system for better uptake of such ncAAs could be a possible solution to incorporate them into the protein. Another limitation is the flexibility of the sequence to incorporate a mutation without significant loss of protein function. For instance, in the scenario where the stop codons are used to incorporate ncAA, it has been realised that the efficiency to achieve the same depends on the position of the mutant site as well as the nature of the protein. Multiple incorporation of ncAAs in peptide or protein of interest is also a challenging task, as for each ncAA, a unique codon must be assigned. So far, the application of frameshift suppression technique could be the possible solution for such a problem. Likewise, even though there is a repertoire of ncAAs, it appears that the entities in the same are not diverse enough. The usage of evolution techniques on orthogonal translation systems could assist to increase the repertoire and diversity of ncAAs [73]. Altogether, considering the advances gained in incorporation of ncAAs, it appears that in near future, the upcoming difficulties and the mentioned hurdles could easily be overcome. Non-natural biochemicals find their use as industrially important chemicals and have a wide applicability in biotherapeutics. The main bottleneck in developing a pathway for the synthesis of non-natural platform chemicals is either the presence of promiscuous enzymes or selection and introduction of a suitable enzyme into the pathway. Furthermore, development of more accurate genome scale metabolic models, along with the incorporation of the regulation constraint could assist to enhance the flux towards the non-natural metabolic pathways. With advances in de novo enzyme designing coupled with high-throughput screening strategies, the workflow of constructing robust host strains for production of non-natural molecules is getting streamlined and efficient. Commercial success stories which are currently few and far in between will provide the much-needed fillip for bio-based chemical production.

Availability of data and materials

The datasets supporting the review are included within the article.

References

  1. Biz A, Proulx S, Xu Z, Siddartha K, Mulet Indrayanti A, Mahadevan R. Systems biology based metabolic engineering for non-natural chemicals. Biotechnol Adv. 2019;37:107379.

    Article  CAS  PubMed  Google Scholar 

  2. Bhattacharjee G, Gohil N, Singh V. An introduction to design of microbial strain using synthetic biology toolboxes for production of biomolecules. In: Singh V, Singh A, Bhargava P, Joshi M, Joshi C, editors. Engineering of microbial biosynthetic pathways. Springer; 2020. p. 1–10.

    Google Scholar 

  3. Singh V, Bhattacharjee G, Gohil N, Maurya R, Lam NL, Alzahrani KJ. An introduction to advanced technologies in synthetic biology. In: Singh V, editor. New frontiers and applications of synthetic biology. Elsevier; 2022. p. 1–9.

    Google Scholar 

  4. Dhar PK, Thwin CS, Tun K, Tsumoto Y, Maurer-Stroh S, Eisenhaber F, Surana U. Synthesizing non-natural parts from natural genomic template. J Biol Eng. 2009;3:2.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Lechner A, Brunk E, Keasling JD. The need for integrated approaches in metabolic engineering. Cold Spring Harb Perspect Biol. 2016;8:a023903.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  6. Young R, Haines M, Storch M, Freemont PS. Combinatorial metabolic pathway assembly approaches and toolkits for modular assembly. Metab Eng. 2021;63:81–101.

    Article  CAS  PubMed  Google Scholar 

  7. Cravens A, Payne J, Smolke CD. Synthetic biology strategies for microbial biosynthesis of plant natural products. Nat Commun. 2019;10:2142.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Adegboye MF, Ojuederie OB, Talia PM, Babalola OO. Bioprospecting of microbial strains for biofuel production: metabolic engineering, applications, and challenges. Biotechnol Biofuels. 2021;14:5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Ko YS, Kim JW, Lee JA, Han T, Kim GB, Park JE, Lee SY. Tools and strategies of systems metabolic engineering for the development of microbial cell factories for chemical production. Chem Soc Rev. 2020;49:4615–36.

    Article  CAS  PubMed  Google Scholar 

  10. Lee JW, Na D, Park JM, Lee J, Choi S, Lee SY. Systems metabolic engineering of microorganisms for natural and non-natural chemicals. Nat Chem Biol. 2012;8:536–46.

    Article  CAS  PubMed  Google Scholar 

  11. Nielsen J, Keasling JD. Engineering cellular metabolism. Cell. 2016;164:1185–97.

    Article  CAS  PubMed  Google Scholar 

  12. Chae TU, Choi SY, Kim JW, Ko YS, Lee SY. Recent advances in systems metabolic engineering tools and strategies. Curr Opin Biotechnol. 2017;47:67–82.

    Article  CAS  PubMed  Google Scholar 

  13. Lee S, Kim P. Current status and applications of adaptive laboratory evolution in industrial microorganisms. J Microbiol Biotechnol. 2020;30:793–803.

    Article  CAS  PubMed  Google Scholar 

  14. Wang J, Li C, Zou Y, Yan Y. Bacterial synthesis of C3–C5 diols via extending amino acid catabolism. Proc Natl Acad Sci USA. 2020;117:19159–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Kohlstedt M, Starck S, Barton N, Stolzenberger J, Selzer M, Mehlmann K, Schneider R, Pleissner D, Rinkel J, Dickschat JS, et al. From lignin to nylon: cascaded chemical and biochemical conversion using metabolically engineered Pseudomonas putida. Metab Eng. 2018;47:279–93.

    Article  CAS  PubMed  Google Scholar 

  16. Li X, Cai Z, Li Y, Zhang Y. Design and construction of a non-natural malate to 1,2,4-butanetriol pathway creates possibility to produce 1,2,4-butanetriol from glucose. Sci Rep. 2014;4:5541.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Yukawa T, Bamba T, Guirimand G, Matsuda M, Hasunuma T, Kondo A. Optimization of 1,2,4-butanetriol production from xylose in Saccharomyces cerevisiae by metabolic engineering of NADH/NADPH balance. Biotechnol Bioeng. 2021;118:175–85.

    Article  CAS  PubMed  Google Scholar 

  18. Sato N, Kishida M, Nakano M, Hirata Y, Tanaka T. Metabolic engineering of shikimic acid-producing Corynebacterium glutamicum from glucose and cellobiose retaining its phosphotransferase system function and pyruvate kinase activities. Front Bioeng Biotechnol. 2020;8:569406.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Su H, Chen H, Lin J. Enriching the production of 2-methyl-1-butanol in fermentation process using Corynebacterium crenatum. Curr Microbiol. 2020;77:1699–706.

    Article  CAS  PubMed  Google Scholar 

  20. Bamba T, Yukawa T, Guirimand G, Inokuma K, Sasaki K, Hasunuma T, Kondo A. Production of 1,2,4-butanetriol from xylose by Saccharomyces cerevisiae through Fe metabolic engineering. Metab Eng. 2019;56:17–27.

    Article  CAS  PubMed  Google Scholar 

  21. Gascoyne JL, Bommareddy RR, Heeb S, Malys N. Engineering Cupriavidus necator H16 for the autotrophic production of (R)-1,3-butanediol. Metab Eng. 2021;67:262–76.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Zhou H, Vonk B, Roubos JA, Bovenberg RA, Voigt CA. Algorithmic co-optimization of genetic constructs and growth conditions: application to 6-ACA, a potential nylon-6 precursor. Nucleic Acids Res. 2015;43:10560–70.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Shin JH, Park SH, Oh YH, Choi JW, Lee MH, Cho JS, Jeong KJ, Joo JC, Yu J, Park SJ, Lee SY. Metabolic engineering of Corynebacterium glutamicum for enhanced production of 5-aminovaleric acid. Microb Cell Fact. 2016;15:174.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Eremeeva E, Herdewijn P. Non canonical genetic material. Curr Opin Biotechnol. 2019;57:25–33.

    Article  CAS  PubMed  Google Scholar 

  25. Chudinov AV, Vasiliskov VA, Kuznetsova VE, Lapa SA, Kolganova NA, Timofeev EN. Mononucleotide repeat expansions with non-natural polymerase substrates. Sci Rep. 2021;11:2423.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Takkellapati S, Li T, Gonzalez MA. An overview of biorefinery derived platform chemicals from a cellulose and hemicellulose biorefinery. Clean Technol Environ Policy. 2018;20:1615–30.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Cen X, Liu Y, Chen B, Liu D, Chen Z. Metabolic engineering of Escherichia coli for de novo production of 1,5-pentanediol from glucose. ACS Synth Biol. 2021;10:192–203.

    Article  CAS  PubMed  Google Scholar 

  28. Torres-Mayanga PC, Lachos-Perez D, Mudhoo A, Kumar S, Brown AB, Tyufekchiev M, Dragone G, Mussatto SI, Rostagno MA, Timko M. Production of biofuel precursors and value-added chemicals from hydrolysates resulting from hydrothermal processing of biomass: a review. Biomass Bioenergy. 2019;130:105397.

    Article  CAS  Google Scholar 

  29. Vivek N, Hazeena SH, Alphy MP, Kumar V, Magdouli S, Sindhu R, Pandey A, Binod P. Recent advances in microbial biosynthesis of C3–C5 diols: genetics and process engineering approaches. Bioresour Technol. 2021;322:124527.

    Article  CAS  PubMed  Google Scholar 

  30. Li Y, Yang S, Ma D, Song W, Gao C, Liu L, Chen X. Microbial engineering for the production of C 2–C 6 organic acids. Nat Prod Rep. 2021;38:1518–46.

    Article  CAS  PubMed  Google Scholar 

  31. Kataoka N, Vangnai AS, Pongtharangkul T, Yakushi T, Matsushita K. Production of 1,3-diols in Escherichia coli. Bioresour Technol. 2017;245:1538–41.

    Article  CAS  PubMed  Google Scholar 

  32. Turk SC, Kloosterman WP, Ninaber DK, Kolen KP, Knutova J, Suir E, Schurmann M, Raemakers-Franken PC, Muller M, de Wildeman SM, et al. Metabolic engineering toward sustainable production of nylon-6. ACS Synth Biol. 2016;5:65–73.

    Article  CAS  PubMed  Google Scholar 

  33. Cheng J, Hu G, Xu Y, Torrens-Spence MP, Zhou X, Wang D, Weng JK, Wang Q. Production of nonnatural straight-chain amino acid 6-aminocaproate via an artificial iterative carbon-chain-extension cycle. Metab Eng. 2019;55:23–32.

    Article  CAS  PubMed  Google Scholar 

  34. Walther T, Topham CM, Irague R, Auriol C, Baylac A, Cordier H, Dressaire C, Lozano-Huguet L, Tarrat N, Martineau N, et al. Construction of a synthetic metabolic pathway for biosynthesis of the non-natural methionine precursor 2,4-dihydroxybutyric acid. Nat Commun. 2017;8:15828.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Song CW, Kim JW, Cho IJ, Lee SY. Metabolic engineering of Escherichia coli for the production of 3-hydroxypropionic acid and malonic acid through beta-alanine route. ACS Synth Biol. 2016;5:1256–63.

    Article  CAS  PubMed  Google Scholar 

  36. Cheon S, Kim HM, Gustavsson M, Lee SY. Recent trends in metabolic engineering of microorganisms for the production of advanced biofuels. Curr Opin Chem Biol. 2016;35:10–21.

    Article  CAS  PubMed  Google Scholar 

  37. Liao JC, Mi L, Pontrelli S, Luo S. Fuelling the future: microbial engineering for the production of sustainable biofuels. Nat Rev Microbiol. 2016;14:288–304.

    Article  CAS  PubMed  Google Scholar 

  38. Zargar A, Bailey CB, Haushalter RW, Eiben CB, Katz L, Keasling JD. Leveraging microbial biosynthetic pathways for the generation of ‘drop-in’ biofuels. Curr Opin Biotechnol. 2017;45:156–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Connor MR, Atsumi S. Synthetic biology guides biofuel production. J Biomed Biotechnol. 2010;2010:541698.

    PubMed  PubMed Central  Google Scholar 

  40. Hwang HJ, Lee SY, Lee PC. Engineering and application of synthetic nar promoter for fine-tuning the expression of metabolic pathway genes in Escherichia coli. Biotechnol Biofuels. 2018;11:103.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  41. Liu H, Wang Y, Tang Q, Kong W, Chung WJ, Lu T. MEP pathway-mediated isopentenol production in metabolically engineered Escherichia coli. Microb Cell Fact. 2014;13:135.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. George KW, Thompson MG, Kang A, Baidoo E, Wang G, Chan LJ, Adams PD, Petzold CJ, Keasling JD, Lee TS. Metabolic engineering for the high-yield production of isoprenoid-based C(5) alcohols in E. coli. Sci Rep. 2015;5:11128.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sheppard MJ, Kunjapur AM, Wenck SJ, Prather KL. Retro-biosynthetic screening of a modular pathway design achieves selective route for microbial synthesis of 4-methyl-pentanol. Nat Commun. 2014;5:5031.

    Article  CAS  PubMed  Google Scholar 

  44. Chen GS, Siao SW, Shen CR. Saturated mutagenesis of ketoisovalerate decarboxylase V461 enabled specific synthesis of 1-pentanol via the ketoacid elongation cycle. Sci Rep. 2017;7:11284.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Sheppard MJ, Kunjapur AM, Prather KLJ. Modular and selective biosynthesis of gasoline-range alkanes. Metab Eng. 2016;33:28–40.

    Article  CAS  PubMed  Google Scholar 

  46. Yunus IS, Wichmann J, Wordenweber R, Lauersen KJ, Kruse O, Jones PR. Synthetic metabolic pathways for photobiological conversion of CO2 into hydrocarbon fuel. Metab Eng. 2018;49:201–11.

    Article  CAS  PubMed  Google Scholar 

  47. Lee HJ, Choi J, Lee SM, Um Y, Sim SJ, Kim Y, Woo HM. Photosynthetic CO2 conversion to fatty acid ethyl esters (FAEEs) using engineered cyanobacteria. J Agric Food Chem. 2017;65:1087–92.

    Article  CAS  PubMed  Google Scholar 

  48. Gohil N, Bhattacharjee G, Singh V. Expansion of the genetic code. In: Singh V, editor. Advances in synthetic biology. Springer; 2020. p. 237–49.

    Chapter  Google Scholar 

  49. Drienovska I, Roelfes G. Expanding the enzyme universe with genetically encoded unnatural amino acids. Nat Catal. 2020;3:193–202.

    Article  CAS  Google Scholar 

  50. Gan R, Perez JG, Carlson ED, Ntai I, Isaacs FJ, Kelleher NL, Jewett MC. Translation system engineering in Escherichia coli enhances non-canonical amino acid incorporation into proteins. Biotechnol Bioeng. 2017;114:1074–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Lopatniuk M, Myronovskyi M, Luzhetskyy A. Streptomyces albus: a new cell factory for non-canonical amino acids incorporation into ribosomally synthesized natural products. ACS Chem Biol. 2017;12:2362–70.

    Article  CAS  PubMed  Google Scholar 

  52. Takahashi H, Dohmae N, Kim KS, Shimuta K, Ohnishi M, Yokoyama S, Yanagisawa T. Genetic incorporation of non-canonical amino acid photocrosslinkers in Neisseria meningitidis: new method provides insights into the physiological function of the function-unknown NMB1345 protein. PLoS ONE. 2020;15:e0237883.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Kipper K, Lundius EG, Curic V, Nikic I, Wiessler M, Lemke EA, Elf J. Application of noncanonical amino acids for protein labeling in a genomically recoded Escherichia coli. ACS Synth Biol. 2017;6:233–55.

    Article  CAS  PubMed  Google Scholar 

  54. Gerrits M, Budisa N, Merk H. Site-specific chemoselective pyrrolysine analogues incorporation using the cell-free protein synthesis system. ACS Synth Biol. 2019;8:381–90.

    Article  CAS  PubMed  Google Scholar 

  55. Saleh AM, Wilding KM, Calve S, Bundy BC, Kinzer-Ursem TL. Non-canonical amino acid labeling in proteomics and biotechnology. J Biol Eng. 2019;13:43.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  56. Xuan W, Yao A, Schultz PG. Genetically encoded fluorescent probe for detecting sirtuins in living cells. J Am Chem Soc. 2017;139:12350–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Chung CZ, Amikura K, Soll D. Using genetic code expansion for protein biochemical studies. Front Bioeng Biotechnol. 2020;8:598577.

    Article  PubMed  PubMed Central  Google Scholar 

  58. Yang B, Tang S, Ma C, Li ST, Shao GC, Dang B, DeGrado WF, Dong MQ, Wang PG, Ding S, Wang L. Spontaneous and specific chemical cross-linking in live cells to capture and identify protein interactions. Nat Commun. 2017;8:2240.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  59. Yang B, Wu H, Schnier PD, Liu Y, Liu J, Wang N, DeGrado WF, Wang L. Proximity-enhanced SuFEx chemical cross-linker for specific and multitargeting cross-linking mass spectrometry. Proc Natl Acad Sci USA. 2018;115:11162–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Praveschotinunt P, Dorval Courchesne NM, den Hartog I, Lu C, Kim JJ, Nguyen PQ, Joshi NS. Tracking of engineered bacteria in vivo using nonstandard amino acid incorporation. ACS Synth Biol. 2018;7:1640–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Serfling R, Seidel L, Bottke T, Coin I. Optimizing the genetic incorporation of chemical probes into GPCRs for photo-crosslinking mapping and bioorthogonal chemistry in live mammalian cells. J Vis Exp. 2018;134:57069.

    Google Scholar 

  62. Kato Y. An engineered bacterium auxotrophic for an unnatural amino acid: a novel biological containment system. PeerJ. 2015;3:e1247.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  63. Rovner AJ, Haimovich AD, Katz SR, Li Z, Grome MW, Gassaway BM, Amiram M, Patel JR, Gallagher RR, Rinehart J, Isaacs FJ. Recoded organisms engineered to depend on synthetic amino acids. Nature. 2015;518:89–93.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Hauf M, Richter F, Schneider T, Faidt T, Martins BM, Baumann T, Durkin P, Dobbek H, Jacobs K, Moglich A, Budisa N. Photoactivatable mussel-based underwater adhesive proteins by an expanded genetic code. ChemBioChem. 2017;18:1819–23.

    Article  CAS  PubMed  Google Scholar 

  65. Bartholomae M, Baumann T, Nickling JH, Peterhoff D, Wagner R, Budisa N, Kuipers OP. Expanding the genetic code of Lactococcus lactis and Escherichia coli to incorporate non-canonical amino acids for production of modified lantibiotics. Front Microbiol. 2018;9:657.

    Article  PubMed  PubMed Central  Google Scholar 

  66. Karbalaei-Heidari HR, Budisa N. Combating antimicrobial resistance with new-to-nature lanthipeptides created by genetic code expansion. Front Microbiol. 2020;11:590522.

    Article  PubMed  PubMed Central  Google Scholar 

  67. Zambaldo C, Luo X, Mehta AP, Schultz PG. Recombinant macrocyclic lanthipeptides incorporating non-canonical amino acids. J Am Chem Soc. 2017;139:11646–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Green AP, Hayashi T, Mittl PR, Hilvert D. A chemically programmed proximal ligand enhances the catalytic properties of a heme enzyme. J Am Chem Soc. 2016;138:11344–52.

    Article  CAS  PubMed  Google Scholar 

  69. Jin X, Park OJ, Hong SH. Incorporation of non-standard amino acids into proteins: challenges, recent achievements, and emerging applications. Appl Microbiol Biotechnol. 2019;103:2947–58.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Li JC, Liu T, Wang Y, Mehta AP, Schultz PG. Enhancing protein stability with genetically encoded noncanonical amino acids. J Am Chem Soc. 2018;140:15997–6000.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  71. de la Torre D, Chin JW. Reprogramming the genetic code. Nat Rev Genet. 2021;22:169–84.

    Article  PubMed  CAS  Google Scholar 

  72. Hankore ED, Zhang L, Chen Y, Liu K, Niu W, Guo J. Genetic incorporation of noncanonical amino acids using two mutually orthogonal quadruplet codons. ACS Synth Biol. 2019;8:1168–74.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  73. Smolskaya S, Andreev YA. Site-specific incorporation of unnatural amino acids into Escherichia coli recombinant protein: methodology development and recent achievement. Biomolecules. 2019;9(7):255.

    Article  CAS  PubMed Central  Google Scholar 

  74. Chin JW. Expanding and reprogramming the genetic code. Nature. 2017;550:53–60.

    Article  CAS  PubMed  Google Scholar 

  75. Mukai T, Lajoie MJ, Englert M, Soll D. Rewriting the genetic code. Annu Rev Microbiol. 2017;71:557–77.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Chin JW. Expanding and reprogramming the genetic code of cells and animals. Annu Rev Biochem. 2014;83:379–408.

    Article  CAS  PubMed  Google Scholar 

  77. Galindo Casas M, Stargardt P, Mairhofer J, Wiltschi B. Decoupling protein production from cell growth enhances the site-specific incorporation of noncanonical amino acids in E. coli. ACS Synth Biol. 2020;9:3052–66.

    Article  CAS  PubMed  Google Scholar 

  78. Arranz-Gibert P, Patel JR, Isaacs FJ. The role of orthogonality in genetic code expansion. Life. 2019;9:58.

    Article  CAS  PubMed Central  Google Scholar 

  79. Gohil N, Bhattacharjee G, Singh V. An introduction to microbial cell factories for production of biomolecules. In: Singh V, editor. Microbial cell factories engineering for production of biomolecules. Academic Press; 2021. p. 1–19.

    Google Scholar 

  80. Völler JS, Budisa N. Coupling genetic code expansion and metabolic engineering for synthetic cells. Curr Opin Biotechnol. 2017;48:1–7.

    Article  PubMed  CAS  Google Scholar 

  81. Schipp CJ, Ma Y, Al-Shameri A, D’Alessio F, Neubauer P, Contestabile R, Budisa N, di Salvo ML. An engineered Escherichia coli strain with synthetic metabolism for in-cell production of translationally active methionine derivatives. ChemBioChem. 2020;21:3525–38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  82. Xu JM, Li JQ, Zhang B, Liu ZQ, Zheng YG. Fermentative production of the unnatural amino acid L-2-aminobutyric acid based on metabolic engineering. Microb Cell Fact. 2019;18:43.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Maier TH. Semisynthetic production of unnatural L-alpha-amino acids by metabolic engineering of the cysteine-biosynthetic pathway. Nat Biotechnol. 2003;21:422–7.

    Article  CAS  PubMed  Google Scholar 

  84. Baumann T, Hauf M, Richter F, Albers S, Moglich A, Ignatova Z, Budisa N. Computational aminoacyl-tRNA synthetase library design for photocaged tyrosine. Int J Mol Sci. 2019;20(9):2343.

    Article  CAS  PubMed Central  Google Scholar 

  85. Muzika M, Muskat NH, Sarid S, Ben-David O, Mehl RA, Arbely E. Chemically-defined lactose-based autoinduction medium for site-specific incorporation of non-canonical amino acids into proteins. RSC Adv. 2018;8:25558–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Mukai T, Hayashi A, Iraha F, Sato A, Ohtake K, Yokoyama S, Sakamoto K. Codon reassignment in the Escherichia coli genetic code. Nucleic Acids Res. 2010;38:8188–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  87. Mukai T, Hoshi H, Ohtake K, Takahashi M, Yamaguchi A, Hayashi A, Yokoyama S, Sakamoto K. Highly reproductive Escherichia coli cells with no specific assignment to the UAG codon. Sci Rep. 2015;5:9699.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Lee BS, Kim S, Ko BJ, Yoo TH. An efficient system for incorporation of unnatural amino acids in response to the four-base codon AGGA in Escherichia coli. Biochim Biophys Acta Gen Subj. 2017;1861:3016–23.

    Article  CAS  PubMed  Google Scholar 

  89. Dunn MR, Jimenez RM, Chaput JC. Analysis of aptamer discovery and technology. Nat Rev Chem. 2017;1:0076.

    Article  CAS  Google Scholar 

  90. Maurya R, Gohil N, Bhattacharjee G, Lam NL, Alzahrani KJ, Singh V. Recent development and applications of xeno nucleic acids. In: Singh V, editor. New Frontiers and Applications of Synthetic Biology. Elsevier; 2022. p. 415–22.

    Chapter  Google Scholar 

  91. Appella DH. Non-natural nucleic acids for synthetic biology. Curr Opin Chem Biol. 2009;13:687–96.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  92. Liu C, Cozens C, Jaziri F, Rozenski J, Marechal A, Dumbre S, Pezo V, Marliere P, Pinheiro VB, Groaz E, Herdewijn P. Phosphonomethyl oligonucleotides as backbone-modified artificial genetic polymers. J Am Chem Soc. 2018;140:6690–9.

    Article  CAS  PubMed  Google Scholar 

  93. Nie P, Bai Y, Mei H. Synthetic life with alternative nucleic acids as genetic materials. Molecules. 2020;25(15):3483.

    Article  CAS  PubMed Central  Google Scholar 

  94. Mehta AP, Li H, Reed SA, Supekova L, Javahishvili T, Schultz PG. Replacement of 2ʹ-deoxycytidine by 2ʹ-deoxycytidine analogues in the E. coli genome. J Am Chem Soc. 2016;138:14230–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Mehta AP, Li H, Reed SA, Supekova L, Javahishvili T, Schultz PG. Replacement of thymidine by a modified base in the Escherichia coli genome. J Am Chem Soc. 2016;138:7272–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Hamashima K, Kimoto M, Hirao I. Creation of unnatural base pairs for genetic alphabet expansion toward synthetic xenobiology. Curr Opin Chem Biol. 2018;46:108–14.

    Article  CAS  PubMed  Google Scholar 

  97. Zhang Y, Lamb BM, Feldman AW, Zhou AX, Lavergne T, Li L, Romesberg FE. A semisynthetic organism engineered for the stable expansion of the genetic alphabet. Proc Natl Acad Sci USA. 2017;114:1317–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Kojima T, Furukawa K, Maruyama H, Inoue N, Tarashima N, Matsuda A, Minakawa N. PCR amplification of 4ʹ-thioDNA using 2ʹ-deoxy-4ʹ-thionucleoside 5ʹ-triphosphates. ACS Synth Biol. 2013;2:529–36.

    Article  CAS  PubMed  Google Scholar 

  99. Bande O, El Asrar Abu R, Braddick D, Dumbre S, Pezo V, Schepers G, Pinheiro VB, Lescrinier E, Holliger P, Marliere P, Herdewijn P. Isoguanine and 5-methyl-isocytosine bases, in vitro and in vivo. Chemistry. 2015;21:5009–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  100. Nauwelaerts K, Lescrinier E, Sclep G, Herdewijn P. Cyclohexenyl nucleic acids: conformationally flexible oligonucleotides. Nucleic Acids Res. 2005;33:2452–63.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  101. El-Khoury R, Damha MJ. 2ʹ-Fluoro-arabinonucleic acid (FANA): a versatile tool for probing biomolecular interactions. Acc Chem Res. 2021;54:2287–97.

    Article  CAS  PubMed  Google Scholar 

  102. Lelyveld VS, Zhang W, Szostak JW. Synthesis of phosphoramidate-linked DNA by a modified DNA polymerase. Proc Natl Acad Sci USA. 2020;117:7276–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  103. Kukwikila M, Gale N, El-Sagheer AH, Brown T, Tavassoli A. Assembly of a biocompatible triazole-linked gene by one-pot click-DNA ligation. Nat Chem. 2017;9:1089–98.

    Article  CAS  PubMed  Google Scholar 

  104. Chemla Y, Friedman M, Heltberg M, Bakhrat A, Nagar E, Schwarz R, Jensen MH, Alfonta L. Expanding the genetic code of a photoautotrophic organism. Biochemistry. 2017;56:2161–5.

    Article  CAS  PubMed  Google Scholar 

  105. Matsuura MF, Shaw RW, Moses JD, Kim HJ, Kim MJ, Kim MS, Hoshika S, Karalkar N, Benner SA. Assays to detect the formation of triphosphates of unnatural nucleotides: application to Escherichia coli nucleoside diphosphate kinase. ACS Synth Biol. 2016;5:234–40.

    Article  CAS  PubMed  Google Scholar 

  106. Liu H, Bowie JU. Cell-free synthetic biochemistry upgrading of ethanol to 1,3 butanediol. Sci Rep. 2021;11:9449.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  107. Kim T, Stogios PJ, Khusnutdinova AN, Nemr K, Skarina T, Flick R, Joo JC, Mahadevan R, Savchenko A, Yakunin AF. Rational engineering of 2-deoxyribose-5-phosphate aldolases for the biosynthesis of (R)-1,3-butanediol. J Biol Chem. 2020;295:597–609.

    Article  CAS  PubMed  Google Scholar 

  108. Kwok HS, Vargas-Rodriguez O, Melnikov SV, Soll D. Engineered aminoacyl-tRNA synthetases with improved selectivity toward noncanonical amino acids. ACS Chem Biol. 2019;14:603–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  109. Dunkelmann DL, Willis JCW, Beattie AT, Chin JW. Engineered triply orthogonal pyrrolysyl-tRNA synthetase/tRNA pairs enable the genetic encoding of three distinct non-canonical amino acids. Nat Chem. 2020;12:535–44.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  110. Hoffmann JE, Dziuba D, Stein F, Schultz C. A bifunctional noncanonical amino acid: synthesis, expression, and residue-specific proteome-wide incorporation. Biochemistry. 2018;57:4747–52.

    Article  CAS  PubMed  Google Scholar 

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Funding

NG acknowledges the Indian Council of Medical Research, Government of India for financial assistance as Senior Research Fellowship (File No. 5/3/8/63/ITR-F/2020). The financial support from Gujarat State Biotechnology Mission (GSBTM) (Project ID: 5LY45F), Gujarat, India to GB and VS is duly acknowledged.

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SH, NK, NG and KK wrote the manuscript. GB and RM helped with preparation of the manuscript. SSD and VK reviewed and edited the manuscript. SMSR and VS conceptualized, reviewed and edited the manuscript. All authors read and approved the final manuscript.

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Correspondence to Shamlan M. S. Reshamwala or Vijai Singh.

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Hans, S., Kumar, N., Gohil, N. et al. Rebooting life: engineering non-natural nucleic acids, proteins and metabolites in microorganisms. Microb Cell Fact 21, 100 (2022). https://doi.org/10.1186/s12934-022-01828-y

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