| Literature DB >> 34278013 |
Liang Xiang1, Guoqiang Li1, Luan Wen1, Cong Su1, Yong Liu1, Hongzhi Tang2, Junbiao Dai1.
Abstract
Ubiquitously distributed microorganisms are natural decomposers of environmental pollutants. However, because of continuous generation of novel recalcitrant pollutants due to human activities, it is difficult, if not impossible, for microbes to acquire novel degradation mechanisms through natural evolution. Synthetic biology provides tools to engineer, transform or even re-synthesize an organism purposefully, accelerating transition from unable to able, inefficient to efficient degradation of given pollutants, and therefore, providing new solutions for environmental bioremediation. In this review, we described the pipeline to build chassis cells for the treatment of aromatic pollutants, and presented a proposal to design microbes with emphasis on the strategies applied to modify the target organism at different level. Finally, we discussed challenges and opportunities for future research in this field.Entities:
Keywords: Aromatic compounds; Bioremediation; Environmental pollution; Microorganisms; Synthetic biology
Year: 2021 PMID: 34278013 PMCID: PMC8260767 DOI: 10.1016/j.synbio.2021.06.001
Source DB: PubMed Journal: Synth Syst Biotechnol ISSN: 2405-805X
Fig. 1Development of microbial degradation of aromatic pollutants.
In the 1980s, it was an exciting era of microbe discovery; In the 1990s, naturally occurring microbes already have considerable ability to remove many environmental pollutants; In the 2000s, sanger sequencing leads to the discovery of microbial degradation gene clusters; In the future, the emerging of synthetic biology technologies brings a new artificial microorganism for pollutants degradation.
Fig. 2Schematic overview of synthetic biology strategies applying to microbial degradation of aromatic pollutants (Naphthalene, Toluene, and Phenanthrene). The workflow includes chassis selection, pathway design, metabolism optimization, and tolerance engineering. (A) Not just model microbes but also some nonconventional microbes can serve as a chassis cell for the degradation of pollutants, such as Naphthalene, Toluene, and Phenanthrene. When selecting a host, consideration should be given to the characteristics of the pollutant, the chassis's genetic manipulation tools, genetic databases, and growth characteristics. (B) Biodegradation pathways containing gene clusters can be integrated into the chromosome or plasmid, and pathway design rely on genome data (gene clusters), mining tools (KEGG and MRE), and engineering tools (DNA assembly, CRISPR/Cas editing and Enzyme engineering). (C) Recently developed synthetic biology tools will accelerate the optimization of catabolism pathways for pollutants (AI-based design parts). (D) Most of the efforts in tolerance engineering have relied on improving the native gene function (nah,tmo, xyl and phn) and capabilities of a chassis cell.
Progress of synthetic biomanufacturing of aromatic compounds.
| Compound | Production host | Titer (g/L) | Refs |
|---|---|---|---|
| Salicylate | 11.5 | [ | |
| 4-hydroxybenzoate | 1.82 | [ | |
| 3-hydroxybenzoate | 2.18 | [ | |
| 4-aminobenzoate | 2.88 | [ | |
| 2-aminobenzoate | 1.83 | [ | |
| 1.62 | [ | ||
| Phenol | 1.1 | [ | |
| Muconic acid | 3.1 | [ | |
| Cinnamaldehyde | | 0.0003 | [ |
| Cinnamyl alcohol | | 0.0278 | [ |
| Hydrocinnamyl alcohol | | 0.1131 | [ |
Function gene clusters in the aromatic pollutants degradation of microbes.
| Substrates | Degrading genes | strains | Refs |
|---|---|---|---|
| Benzene | [ | ||
| Toluene | [ | ||
| Xylene | [ | ||
| Phenylpropanoid | [ | ||
| Phenol | [ | ||
| Chlorophenol | [ | ||
| Nitrophenol | [ | ||
| Naphthalene | [ | ||
| Phenanthrene | [ |
Enzymes for contaminant degradation.
| Enzymes | Species | Substrate | Refs |
|---|---|---|---|
| Oxidoreductases | |||
| Peroxidases | Dye | [ | |
| Lignin | [ | ||
| Tetracycline and Oxytetracycline | [ | ||
| Phenol | [ | ||
| Oxygenases | Chlorofluorocarbons | [ | |
| Laccases | Bisphenol | [ | |
| Lignin | [ | ||
| Dye | [ | ||
| Polycyclic aromatic hydrocarbons | [ | ||
| Hydrolases | |||
| Lipase | Polyurethane | [ | |
| Slop oil | [ | ||
| Poly (ε-caprolactone) | [ | ||
| Cellulase | Cellulose | [ | |
| Protease | Poultry feather | [ | |
Boosting degradation efficiency by biological parts.
| Name | Description | Refs |
|---|---|---|
| promoters | An engineered haloalkane dehalogenase with the constitutive | [ |
| The AI-designed promoters are experimentally demonstrated to be functional in | [ | |
| Efficient keratinase expression via promoter engineering strategies for degradation of feather wastes. | [ | |
| terminators | A panel of short (35–70 bp) synthetic terminators can be used for modulating gene expression in yeast. | [ |
| Synthetic terminator performs the same function as natural terminator. | [ | |
| RBS | Automated design of synthetic ribosome binding sites to control protein expression. | [ |
| RBS optimization of the key enzymes was used for improving the synthesis of natural product. | [ | |
| transport proteins | Transporters for benzoic acid, 4-hydroxybenzoic acid, protocatechuic acid and vanillic acid. | [ |
| mobile genetic elements | Many catabolic genes have been found adjacent to mobile genetic elements. | [ |
| genomic islands | The genomic islands-deleted | [ |
| plasmid | Catabolic plasmids that encode genes for the degradation of contaminants such as toluene, naphthalene, phenol, and nitrobenzene. | [ |
| transposons | Transposons for the catabolism of toluene (Tn4651, Tn4653, Tn4656), chlorobenzoate (Tn5271), chlorobenzene (Tn5280), benzene (Tn5542) and naphthalene (Tn4655). | [ |
Examples of tolerance engineering.
| Tolerance mechanism | Proteins | Species | Stress resistance | Refs |
|---|---|---|---|---|
| chaperones | n-Butanol | [ | ||
| transporters | RbsB MsmK | Acid | [ | |
| membrane | Med2 | Acid | [ | |
| Succinic acid | [ | |||
| efflux pumps | RcdA | Limonene | [ | |
| regulators | MetR | 3-Methyl | [ | |
| heat shock proteins | HspX, Y, Z | Phenol | [ | |
| compatible solute | RHD | saline | [ |
Fig. 3Future perspectives on the construction of artificial microbes.
In the future, artificial intelligence should be used to assist in construction of artificial microbes, especially in genetic model building and protein and metabolic pathway design. Genome tools should be developed to enable efficient genetic manipulation of artificial microbes as well as natural decomposer. The construction of standardized elements will shorten the cycle of complex genetic circuit design. Finally, protein directed evolution and strain adaptive evolution should be established to accelerate the efficiency of pollutant degradation.