Abstract
In nature, metabolic pathways are often organized into complex structures such as multienzyme complexes, enzyme molecular scaffolds, or reaction microcompartments. These structures help facilitate multi-step metabolic reactions. However, engineered metabolic pathways in microbial cell factories do not possess inherent metabolic regulatory mechanisms, which can result in metabolic imbalance. Taking inspiration from nature, scientists have successfully developed synthetic scaffolds to enhance the performance of engineered metabolic pathways in microbial cell factories. By recruiting enzymes, synthetic scaffolds facilitate the formation of multi-enzyme complexes, leading to the modulation of enzyme spatial distribution, increased enzyme activity, and a reduction in the loss of intermediate products and the toxicity associated with harmful intermediates within cells. In recent years, scaffolds based on proteins, nucleic acids, and various organelles have been developed and employed to facilitate multiple metabolic pathways. Despite varying degrees of success, synthetic scaffolds still encounter numerous challenges. The objective of this review is to provide a comprehensive introduction to these synthetic scaffolds and discuss their latest research advancements and challenges.
1 Introduction
Recently, the successful synthesis of diverse natural products has been achieved through the introduction of heterologous metabolic pathways into microbial cell factories (; ; ). These synthetic pathways are collectively built with heterologous enzymes selected from various sources and are not accompanied by their regulatory partners in the new host (). Thus, these unregulated enzymes may not be able to channel intermediates from the input reactions to the formation of end products properly (; ). In contrast, metabolic enzymes of a native pathway can be formed multi-enzyme complexes (), enzyme molecular scaffolds (), reaction microchambers [e.g., arom multienzyme complexes (), or caveolae, etc. ()] to mediate the catalytic cascades coordinately. The structural entities play a pivotal role in facilitating efficient substrate transfer between adjacent enzyme active sites (). Thus, adopting a synthetic scaffold is one of the strategies to co-ordinate the none-native enzymes in microbial cell factories. To address the challenges several synthetic scaffolds have been devised for the precise modulation of enzyme activity. For instance, enzymes can be assembled on scaffolds made of DNA or protein, where protein-protein or DNA interactions are employed to facilitate the formation of cascading complexes among enzymes (). These DNA or protein scaffolds are thought to form channels conducive to continuous metabolism, directing metabolic intermediates from one enzyme to another to regulate the spatial distribution of enzymes and increase their local concentrations (). The utilization of synthetic scaffolds serves to significantly decrease interenzyme distances, thereby effectively restricting the diffusion of intermediate metabolitesand concurrently attenuates cellular cytotoxicity (). Though, the synthetic scaffolds had been successfully applied to metabolic engineering, trial and error are still the only way we may learn.
This review provides a detailed account of the applications of artificially synthesized scaffolds through specific case studies and comprehensively summarizes the latest advancements in various scaffold assembly methods. Additionally, it explores the potential challenges faced by artificially synthesized scaffolds. At the same time, the possible role of the current hot artificial intelligence (AI) technology in the application of artificial stent systems is also discussed.
2 Protein scaffold
Paired protein scaffolders fall into three main categories, including protein-peptide, peptide-peptide, and protein-protein pairs. These scaffolds can be fused directly with target enzymes to induce assembly, and they achieve enzyme assembly through non-covalent or covalent interactions between ligands and receptors in the scaffolds, with little effect on enzyme properties (; ).
2.1 Protein–peptide pair
Protein-peptide interaction recognition domains are widely present in various cells, where they participate in the assembly of intracellular complexes and play diverse cellular functions. Currently, several modular protein domains [e.g., PDZ domain, SH3 domains, GTPase binding domain (GBD), GBD1SH31PDZ2, GBD1SH32PDZ4, and GBD1SH34PDZ4] and their corresponding partners have been identified (). The PDZ domain (also known as GLGF repeats or DHR domains) is typically an essential component of multi-domain scaffold proteins involved in cell polarity and intercellular interactions (). It can selectively recognize the C-terminal peptide sequences on its partner protein and then assemble them into a complex and target specific subcellular localization sites (). Based on this protein-peptide interaction, proposed a scaffold-free self-assembly strategy. This strategy was successfully demonstrated using the NAD (H) cycle system with L-tert-leucine as a model, achieving scaffold-free self-assembly technology. They fused the PDZ (PSD95/Dlg1/zo-1) domain and corresponding ligands (PDZlig) from metazoan cells separately with the octameric leucine dehydrogenase (LDH, derived from Bacillus subtilis BEST7613) and the dimeric formate dehydrogenase (FDH, derived from Lodderomyces elongisporus NRRL YB4239) (Figure 1A). The fusion proteins self-assembled into extended supramolecular interaction networks, significantly enhancing the efficiency and structural stability of the coenzyme cycling system involving NAD (H). Compared to their non-assembled counterparts, they exhibited better performance ().
FIGURE 1
The SRC Homology 3 Domain (or SH3 domain) is a small protein domain containing 60 amino acid residues that are folded into beta-barrels with five or six β-strands arranged as two tightly packed anti-parallel β sheets (
The GTPase binding domain (GBD) from the actin polymerization switch N-WASP could be recognized by the GTP-bound Cdc42.
2.2 Peptide–peptide pair
In nature, there are numerous examples of optimizing metabolic pathway performance by forming multienzyme complexes. A prominent example is polyketide synthases (PKSs), which are considered among the most intricate proteins in nature. PKSs are classified into types I, II, and III and are involved in the synthesis of numerous compounds (
2.3 Protein-protein pair
Protein-protein pairs of special peptides in TatB/TatC can spontaneously interact to form aggregates.
The scaffold assembly can realize the orderly arrangement of multiple enzymes, shorten the spatial distance of enzymes, accelerate sequential catalysis, and achieve a high yield. The composite formed by the scaffold assembly strategy can significantly improve the efficiency of enzyme catalysis in the biosynthesis of natural products and has broad application prospects in the fields of metabolic engineering and synthetic biology. However, until now, only four enzymes could be assembled sequentially. The reason is that the assembly of the enzyme requires the fusion expression of the scaffold and the enzyme through the joint, and misfolding is easy to occur during the fusion process, which will affect the assembly performance. On the other hand, the assembly of multiple enzymes is affected by steric hindrance, making it difficult to achieve sequential arrangement (
3 Nucleic acid scaffold
3.1 DNA scaffold
In addition to using protein scaffold approaches, the DNA double helix can serve as an alternative scaffold system. Compared with protein scaffolds, nucleic acid scaffolds have higher flexibility and maneuverability. With the advancement of gene editing technology, several molecular tools are available for efficient and specific DNA targeting, such as zinc finger proteins (ZFPs), transcription activator-like effector (TALE) proteins, and CRISPR-Cas (
3.1.1 DNA scaffold based on zinc finger protein
In E. coli, the plasmid DNAs equipped with corresponding zinc finger protein binding sites were designed to assemble three different biosynthetic pathways to produce resveratrol, 1,2-propanediol, or mevalonate (
3.1.2 DNA scaffold based on TALEs
TALEs (transcription activator-like effectors) are effectors from the family III in Xanthomonas bacteria (
FIGURE 2

DNA scaffold system based on TALE, adapted from (
3.1.3 DNA scaffold based on CRISPR-Cas
CRISPR-associated (Cas) nucleases are a class of DNA-binding proteins distinct from zinc finger enzymes and transcriptional activator-like effector proteins. Through the guidance of RNA molecules complementary to DNA sequences, the CRISPR-Cas DNA scaffold achieves Cas-specific customization (
3.1.4 DNA scaffold based on PCNA
Proliferating cell nuclear antigen (PCNA) is a trimeric ring-shaped protein (
3.2 RNA scaffold
By binding to the adapter, the RNA scaffold achieves highly specific binding to the target enzyme.
CRISPR-associated RNA scaffolds provide a powerful approach to the construction of synthetic gene programs. By inducing the expression of the dCas9 protein, we can achieve gene activation and inhibition, thereby enabling the directed expression of complex branching metabolic pathways (
Compared to DNA or protein-based scaffolds, RNA scaffolds, as non-coding synthetic scaffolds, offer greater flexibility. They can control protein spatial organization, such as distances and orientations between bound proteins, chemical dosage, and complex sizes, among others (
4 Cellular scaffolds
4.1 Natural cellular scaffolds
As subcellular structures within cells, the integrity and autonomy of organelles have sparked scientists interest in using them as scaffolds for enzyme assembly (
FIGURE 3

Organelle scaffold; (A) Functional assembly of multienzyme systems on outer membrane vesicles, adapted from (
4.2 Synthetic organelle scaffold
Cellular organelle scaffolds can be artificially designed to meet various metabolic pathway requirements. Lipids are widely present in cells and can form cell membranes, with many proteins anchored to these membrane structures. Inspired by this, researchers have attempted to use lipids as synthetic scaffolds to achieve co-assembly of lipids and target proteins. They discovered that, unlike most bacteriophages, bacteriophage ϕ6 contains a protein nucleocapsid surrounded by a lipid envelope and several membrane proteins (
5 Discussion and summary
With the advancement of biotechnology, building synthetic pathways into heterologous microbial hosts became possible (
TABLE 1
| Types of scaffolds | Description | Host | Application | References |
|---|---|---|---|---|
| Protein scaffold | PDZ and PDZ ligand | E.coli; Pichia pastoris | Enhance the biosynthesis yield of baicalein and scutellarein; facilitate the biosynthesis of ginsenoside precursors; Improve the production of itaconic acid | |
| SH3-ligand interaction pair | E.coli | Drive the conversion of methanol into H6P; promote the production of malic acid | ||
| PduA*-Multi-Enzyme Complex System | E.coli | Improve the synthesis efficiency of 5-aminolevulinic acid (5-ALA) | ||
| Cohesin-dockerin (Coh-Doc) pair | S. cerevisiae | Enhance the production rate of NADH; improve the metabolic flux of pyruvate | ||
| PDZ and SH3 domains | E.coli | Increase the effective concentration of myoinositol | ||
| RIAD and RIDD short peptide tags | E.Coli; S. cerevisiae | Increase carotenoid production by 5.7-fold and lycopene production by 58%; increase the yield of rubusosides and rebaudiosides | ||
| Artificial Protein Scaffold System (AProSS) | S. cerevisiae | The yield of violacein and deoxyviolacein increased by 29% and 63%, respectively, while the ratio of violacein to deoxyviolacein increased by 18% | ||
| GBD, SH3, and PDZ domain | E.coli | Increase the production of indigoidine, gamma-aminobutyric acid, butyrate, and R-(−)-linalool; increase the production of methylhydroxybutyrate by 77 yields | ||
| SpyCatcher/SpyTag and SnoopCatcher/SnoopTag pairs | E.coli | Increase the biosynthetic flux of carotenoids | ||
| Tobacco mosaic virus (TMV) virus-like particle (VLP), SpyCatcher/SpyTag and SnoopCatcher/SnoopTag | E.coli | Realization of the production of amorpha-4,11-diene | ||
| mimic PKS enzyme assembly line (mPKSeal) | E.coli | Improve the production of astaxanthin | ||
| Nucleic acid scaffold | ADB1, ADB2, and ADB3 | Bacillus subtilis | Increase the production of N-acetylglucosamine; enhance the biosynthesis of L-threonine | |
| ADO and AAR | E.coli | Enhance the production potential of linear n-alkanes | ||
| TALEs | E.coli | Increase the biosynthesis of indole-3-acetic acid (IAA) | ||
| ZF domains | E.coli | Enhance the metabolism of resveratrol, 1,2-propanediol, and mevalonate | ||
| PCNA | E.coli | Increase the catalytic activity of P450 and electron transfer-associated proteins | ||
| dCas9, SpyCatcher, and SnoopCatcher pairs | E.coli | Increase the yield of reducing sugars by 2.8 folds | ||
| dCas9, MS2 and PP7 aptamers | S. cerevisiae | Regulate the expression of enzymes involved in the violacein biosynthetic pathway to control metabolic flux | ||
| 2DRNA scaffolds | E.coli | Increase the metabolic output of the pathway for pentadecane production | ||
| RNA Scaffold, MS2 and PP7 aptamers | E.coli | The fluorescence intensity in the GFP cleavage assay increased by 2.25-fold, while the multi-enzyme efficiency in the IAA synthesis pathway increased by 1.43-fold | ||
| CRISPR scRNA | S. cerevisiae | Redirecting metabolic flux in a complex branched metabolic pathway | ||
| Organelle scaffold | MCMs | E.coli | Improving the production of α-farnesene | |
| ER-Derived Vesicles | S. cerevisiae | Constructing a cis,cis-muconic acid (CCM) biosynthetic pathway in vesicles to assess its feasibility | ||
| lipid droplets (LDs) | S. cerevisiae | The production rate of ethyl acetate has been increased by nearly two-fold | ||
| outer membrane vesicles (OMVs) | E.coli | The glucose yield has increased by 23-fold compared to the free enzyme | ||
| protein cages | E.coli | The production of lycopene has increased by 8.5-fold |
Examples and overview of artificial scaffold systems.
The computational inference of biological systems has emerged as a transformative field, driven by the confluence of advanced computational methods, machine learning techniques, and ever-expanding biological data. The best-known case is protein structure prediction, and it has been a grand challenge for decades. Since the advancement of the computational implication of a protein’s spatial arrangement of atoms and computing power, several artificial intelligence (AI) systems have been successfully applied to predict the structure of protein complexes (e.g., the AlphaFold-Multimer, RoseTTAFolds, and trRosetta) (
In contrast to protein-based scaffold systems, using nucleic acid as a scaffold provides its unique advantages. The DNA scaffold systems are more stable, easier to design, and have higher stability (
Cellular scaffolds constructed based on different organelles or membranes have achieved varying degrees of success. However, due to the levels of complexity of biological parts (e.g., membranes, proteins, and protein interactions), the working mechanism of such scaffold systems still needs to be further explored. Synthetic biology aims to combine multidisciplinary disciplines that pursue the development new biological parts or systems. The promise of using AI technology to resolve complex biological questions is now is gradually revealed. Combining these two technologies, we can better understand the mechanisms of different types of artificial scaffolds and design streamlined artificial scaffolds that provide a broader range of engineering applications.
Statements
Author contributions
NL: Writing–review and editing, Writing–original draft. WD: Writing–review and editing, Supervision. HY: Funding acquisition, Writing–review and editing, Supervision. J-HL: Supervision, Writing–review and editing. T-YC: Writing–review and editing.
Funding
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was financially supported by HIM-BGI Omics Center, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences (CAS), Hangzhou, China 310022. The funder did not participate in the designing, performing, or reporting of the current study.
Acknowledgments
Sincerely thanks to teacher T-YC for revising and polishing the whole article.
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.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
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Summary
Keywords
multienzyme complexes, enzyme molecular scaffolds, reaction microcompartments, microbial cell factory, synthetic scaffold
Citation
Liu N, Dong W, Yang H, Li J-H and Chiu T-Y (2023) Application of artificial scaffold systems in microbial metabolic engineering. Front. Bioeng. Biotechnol. 11:1328141. doi: 10.3389/fbioe.2023.1328141
Received
26 October 2023
Accepted
12 December 2023
Published
22 December 2023
Volume
11 - 2023
Edited by
Luan Luong Chu, Phenikaa University, Vietnam
Reviewed by
Jin-Ho Lee, Kyungsung University, Republic of Korea
Richard Kelwick, Imperial College London, United Kingdom
Tianwen Wang, Anhui Polytechnic University, China
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© 2023 Liu, Dong, Yang, Li and Chiu.
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*Correspondence: Tsan-Yu Chiu, qiucanyu@genomics.cn
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