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Microbial production strategies and applications of lycopene and other terpenoids

Overview of attention for article published in World Journal of Microbiology and Biotechnology, December 2015
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Citations

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Title
Microbial production strategies and applications of lycopene and other terpenoids
Published in
World Journal of Microbiology and Biotechnology, December 2015
DOI 10.1007/s11274-015-1975-2
Pubmed ID
Authors

Tian Ma, Zixin Deng, Tiangang Liu

Abstract

Terpenoids are a large class of compounds that have far-reaching applications and economic value, particularly those most commonly found in plants; however, the extraction and synthesis of these compounds is often expensive and technically challenging. Recent advances in microbial metabolic engineering comprise a breakthrough that may enable the efficient, cost-effective production of these limited natural resources. Via the engineering of safe, industrial microorganisms that encode product-specific enzymes, and even entire metabolic pathways of interest, microbial-derived semisynthetic terpenoids may soon replace plant-derived terpenoids as the primary source of these valuable compounds. Indeed, the recent metabolic engineering of an Escherichia coli strain that produces the precursor to lycopene, a commercially and medically important compound, with higher yields than those in tomato plants serves as a successful example. Here, we review the recent developments in the metabolic engineering of microbes for the production of certain terpenoid compounds, particularly lycopene, which has been increasingly used in pharmaceuticals, nutritional supplements, and cosmetics. Furthermore, we summarize the metabolic engineering strategies used to achieve successful microbial production of some similar compounds. Based on this overview, there is a reason to believe that metabolic engineering comprises an optimal approach for increasing the production of lycopene and other terpenoids.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Canada 1 1%
Belgium 1 1%
China 1 1%
Japan 1 1%
Unknown 79 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 21%
Student > Master 13 15%
Student > Ph. D. Student 10 12%
Student > Bachelor 9 11%
Student > Postgraduate 5 6%
Other 10 12%
Unknown 19 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 27%
Biochemistry, Genetics and Molecular Biology 17 20%
Chemistry 4 5%
Engineering 3 4%
Immunology and Microbiology 2 2%
Other 12 14%
Unknown 23 27%
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 31 December 2015.
All research outputs
#21,420,714
of 23,911,072 outputs
Outputs from World Journal of Microbiology and Biotechnology
#1,398
of 1,757 outputs
Outputs of similar age
#339,879
of 399,599 outputs
Outputs of similar age from World Journal of Microbiology and Biotechnology
#18
of 30 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 399,599 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.