Identification of parallel and divergent optimization solutions for homologous metabolic enzymes
Metabolic Engineering Communications, ISSN: 2214-0301, Vol: 6, Page: 56-62
2018
- 6Citations
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations6
- Citation Indexes6
- CrossRef4
- Captures15
- Readers15
- 15
Article Description
Metabolic pathway assembly typically involves the expression of enzymes from multiple organisms in a single heterologous host. Ensuring that each enzyme functions effectively can be challenging, since many potential factors can disrupt proper pathway flux. Here, we compared the performance of two enzyme homologs in a pathway engineered to allow Escherichia coli to grow on 4-hydroxybenzoate (4-HB), a byproduct of lignocellulosic biomass deconstruction. Single chromosomal copies of the 4-HB 3-monooxygenase genes pobA and praI, from Pseudomonas putida KT2440 and Paenibacillus sp. JJ-1B, respectively, were introduced into a strain able to metabolize protocatechuate (PCA), the oxidation product of 4-HB. Neither enzyme initially supported consistent growth on 4-HB. Experimental evolution was used to identify mutations that improved pathway activity. For both enzymes, silent mRNA mutations were identified that increased enzyme expression. With pobA, duplication of the genes for PCA metabolism allowed growth on 4-HB. However, with praI, growth required a mutation in the 4-HB/PCA transporter pcaK that increased intracellular concentrations of 4-HB, suggesting that flux through PraI was limiting. These findings demonstrate the value of directed evolution strategies to rapidly identify and overcome diverse factors limiting enzyme activity.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2214030118300063; http://dx.doi.org/10.1016/j.meteno.2018.04.002; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85046775665&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/29896448; https://linkinghub.elsevier.com/retrieve/pii/S2214030118300063; https://dx.doi.org/10.1016/j.meteno.2018.04.002
Elsevier BV
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