↓ Skip to main content

Direct conversion of theophylline to 3-methylxanthine by metabolically engineered E. coli

Overview of attention for article published in Microbial Cell Factories, December 2015
Altmetric Badge

Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Direct conversion of theophylline to 3-methylxanthine by metabolically engineered E. coli
Published in
Microbial Cell Factories, December 2015
DOI 10.1186/s12934-015-0395-1
Pubmed ID
Authors

Khalid H. R. Algharrawi, Ryan M. Summers, Sridhar Gopishetty, Mani Subramanian

Abstract

Methylxanthines are natural and synthetic compounds found in many foods, drinks, pharmaceuticals, and cosmetics. Aside from caffeine, production of many methylxanthines is currently performed by chemical synthesis. This process utilizes many chemicals, multiple reactions, and different reaction conditions, making it complicated, environmentally dissatisfactory, and expensive, especially for monomethylxanthines and paraxanthine. A microbial platform could provide an economical, environmentally friendly approach to produce these chemicals in large quantities. The recently discovered genes in our laboratory from Pseudomonas putida, ndmA, ndmB, and ndmD, provide an excellent starting point for precisely engineering Escherichia coli with various gene combinations to produce specific high-value paraxanthine and 1-, 3-, and 7-methylxanthines from any of the economical feedstocks including caffeine, theobromine or theophylline. Here, we show the first example of direct conversion of theophylline to 3-methylxanthine by a metabolically engineered strain of E. coli. Here we report the construction of E. coli strains with ndmA and ndmD, capable of producing 3-methylxanthine from exogenously fed theophylline. The strains were engineered with various dosages of the ndmA and ndmD genes, screened, and the best strain was selected for large-scale conversion of theophylline to 3-methylxanthine. Strain pDdA grown in super broth was the most efficient strain; 15 mg/mL cells produced 135 mg/L (0.81 mM) 3-methylxanthine from 1 mM theophylline. An additional 21.6 mg/L (0.13 mM) 1-methylxanthine were also produced, attributed to slight activity of NdmA at the N 3 -position of theophylline. The 1- and 3-methylxanthine products were separated by preparative chromatography with less than 5 % loss during purification and were identical to commercially available standards. Purity of the isolated 3-methylxanthine was comparable to a commercially available standard, with no contaminant peaks as observed by liquid chromatography-mass spectrophotometry or nuclear magnetic resonance. We were able to biologically produce and separate 100 mg of highly pure 3-methylxanthine from theophylline (1,3-dimethylxanthine). The N-demethylation reaction was catalyzed by E. coli engineered with N-demethylase genes, ndmA and ndmD. This microbial conversion represents a first step to develop a new biological platform for the production of methylxanthines from economical feedstocks such as caffeine, theobromine, and theophylline.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 21%
Student > Ph. D. Student 7 18%
Student > Doctoral Student 4 11%
Lecturer 3 8%
Researcher 3 8%
Other 6 16%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 18%
Chemical Engineering 6 16%
Biochemistry, Genetics and Molecular Biology 6 16%
Medicine and Dentistry 4 11%
Engineering 3 8%
Other 3 8%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 December 2015.
All research outputs
#18,433,196
of 22,836,570 outputs
Outputs from Microbial Cell Factories
#1,205
of 1,602 outputs
Outputs of similar age
#281,170
of 389,451 outputs
Outputs of similar age from Microbial Cell Factories
#22
of 33 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,602 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 389,451 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.