Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine
Summary: Introducing heterologous pathways into host cells constitutes a promising strategy for synthesizing nonstandard amino acids (nsAAs) to enable the production of proteins with expanded chemistries. However, this strategy has proven challenging, as the expression of heterologous pathways can d...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | iScience |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004222008343 |
| _version_ | 1811334247623950336 |
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| author | Ali R. Zomorrodi Colin Hemez Pol Arranz-Gibert Terrence Wu Farren J. Isaacs Daniel Segrè |
| author_facet | Ali R. Zomorrodi Colin Hemez Pol Arranz-Gibert Terrence Wu Farren J. Isaacs Daniel Segrè |
| author_sort | Ali R. Zomorrodi |
| collection | DOAJ |
| description | Summary: Introducing heterologous pathways into host cells constitutes a promising strategy for synthesizing nonstandard amino acids (nsAAs) to enable the production of proteins with expanded chemistries. However, this strategy has proven challenging, as the expression of heterologous pathways can disrupt cellular homeostasis of the host cell. Here, we sought to optimize the heterologous production of the nsAA para-aminophenylalanine (pAF) in Escherichia coli. First, we incorporated a heterologous pAF biosynthesis pathway into a genome-scale model of E. coli metabolism and computationally identified metabolic interventions in the host’s native metabolism to improve pAF production. Next, we explored different approaches of imposing these flux interventions experimentally and found that the upregulation of flux in the chorismate biosynthesis pathway through the elimination of feedback inhibition mechanisms could significantly raise pAF titers (∼20-fold) while maintaining a reasonable pAF production-growth rate trade-off. Overall, this study provides a promising strategy for the biosynthesis of nsAAs in engineered cells. |
| first_indexed | 2024-04-13T17:04:59Z |
| format | Article |
| id | doaj.art-3dacac0bdcd745f69c3189ebbd410910 |
| institution | Directory Open Access Journal |
| issn | 2589-0042 |
| language | English |
| last_indexed | 2024-04-13T17:04:59Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | iScience |
| spelling | doaj.art-3dacac0bdcd745f69c3189ebbd4109102022-12-22T02:38:30ZengElsevieriScience2589-00422022-07-01257104562Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanineAli R. Zomorrodi0Colin Hemez1Pol Arranz-Gibert2Terrence Wu3Farren J. Isaacs4Daniel Segrè5Mucosal Immunology and Biology Research Center, Pediatrics Department, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Bioinformatics Graduate Program, Boston University, Boston, MA, USADepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA; Systems Biology Institute, Yale University, West Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USADepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA; Systems Biology Institute, Yale University, West Haven, CT, USAYale West Campus Analytical Core, 600 West Campus Drive, West Haven, USADepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA; Systems Biology Institute, Yale University, West Haven, CT, USA; Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Corresponding authorBioinformatics Graduate Program, Boston University, Boston, MA, USA; Department of Biology, Boston University, Boston, MA, USA; Department of Biomedical Engineering, Boston University, Boston, MA, USA; Biological Design Center, Boston University, Boston, MA, USA; Corresponding authorSummary: Introducing heterologous pathways into host cells constitutes a promising strategy for synthesizing nonstandard amino acids (nsAAs) to enable the production of proteins with expanded chemistries. However, this strategy has proven challenging, as the expression of heterologous pathways can disrupt cellular homeostasis of the host cell. Here, we sought to optimize the heterologous production of the nsAA para-aminophenylalanine (pAF) in Escherichia coli. First, we incorporated a heterologous pAF biosynthesis pathway into a genome-scale model of E. coli metabolism and computationally identified metabolic interventions in the host’s native metabolism to improve pAF production. Next, we explored different approaches of imposing these flux interventions experimentally and found that the upregulation of flux in the chorismate biosynthesis pathway through the elimination of feedback inhibition mechanisms could significantly raise pAF titers (∼20-fold) while maintaining a reasonable pAF production-growth rate trade-off. Overall, this study provides a promising strategy for the biosynthesis of nsAAs in engineered cells.http://www.sciencedirect.com/science/article/pii/S2589004222008343BioengineeringMetabolic engineeringBioinformatics |
| spellingShingle | Ali R. Zomorrodi Colin Hemez Pol Arranz-Gibert Terrence Wu Farren J. Isaacs Daniel Segrè Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine iScience Bioengineering Metabolic engineering Bioinformatics |
| title | Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine |
| title_full | Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine |
| title_fullStr | Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine |
| title_full_unstemmed | Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine |
| title_short | Computational design and engineering of an Escherichia coli strain producing the nonstandard amino acid para-aminophenylalanine |
| title_sort | computational design and engineering of an escherichia coli strain producing the nonstandard amino acid para aminophenylalanine |
| topic | Bioengineering Metabolic engineering Bioinformatics |
| url | http://www.sciencedirect.com/science/article/pii/S2589004222008343 |
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