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Integrated analysis of gene expression and metabolic fluxes in PHA-producing Pseudomonas putida grown on glycerol

Overview of attention for article published in Microbial Cell Factories, May 2016
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Title
Integrated analysis of gene expression and metabolic fluxes in PHA-producing Pseudomonas putida grown on glycerol
Published in
Microbial Cell Factories, May 2016
DOI 10.1186/s12934-016-0470-2
Pubmed ID
Authors

Veronique Beckers, Ignacio Poblete-Castro, Jürgen Tomasch, Christoph Wittmann

Abstract

Given its high surplus and low cost, glycerol has emerged as interesting carbon substrate for the synthesis of value-added chemicals. The soil bacterium Pseudomonas putida KT2440 can use glycerol to synthesize medium-chain-length poly(3-hydroxyalkanoates) (mcl-PHA), a class of biopolymers of industrial interest. Here, glycerol metabolism in P. putida KT2440 was studied on the level of gene expression (transcriptome) and metabolic fluxes (fluxome), using precisely adjusted chemostat cultures, growth kinetics and stoichiometry, to gain a systematic understanding of the underlying metabolic and regulatory network. Glycerol-grown P. putida KT2440 has a maintenance energy requirement [0.039 (mmolglycerol (gCDW h)(-1))] that is about sixteen times lower than that of other bacteria, such as Escherichia coli, which provides a great advantage to use this substrate commercially. The shift from carbon (glycerol) to nitrogen (ammonium) limitation drives the modulation of specific genes involved in glycerol metabolism, transport electron chain, sensors to assess the energy level of the cell, and PHA synthesis, as well as changes in flux distribution to increase the precursor availability for PHA synthesis (Entner-Doudoroff pathway and pyruvate metabolism) and to reduce respiration (glyoxylate shunt). Under PHA-producing conditions (N-limitation), a higher PHA yield was achieved at low dilution rate (29.7 wt% of CDW) as compared to a high rate (12.8 wt% of CDW). By-product formation (succinate, malate) was specifically modulated under these regimes. On top of experimental data, elementary flux mode analysis revealed the metabolic potential of P. putida KT2440 to synthesize PHA and identified metabolic engineering targets towards improved production performance on glycerol. This study revealed the complex interplay of gene expression levels and metabolic fluxes under PHA- and non-PHA producing conditions using the attractive raw material glycerol as carbon substrate. This knowledge will form the basis for the development of future metabolically engineered hyper-PHA-producing strains derived from the versatile bacterium P. putida KT2440.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
China 1 <1%
Germany 1 <1%
Unknown 122 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 24%
Student > Master 21 17%
Researcher 18 14%
Student > Bachelor 13 10%
Student > Doctoral Student 7 6%
Other 13 10%
Unknown 23 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 42 34%
Agricultural and Biological Sciences 28 22%
Engineering 9 7%
Chemical Engineering 6 5%
Chemistry 5 4%
Other 10 8%
Unknown 25 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 05 May 2016.
All research outputs
#9,530,023
of 16,205,698 outputs
Outputs from Microbial Cell Factories
#594
of 1,164 outputs
Outputs of similar age
#128,462
of 265,878 outputs
Outputs of similar age from Microbial Cell Factories
#1
of 1 outputs
Altmetric has tracked 16,205,698 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,164 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 46th percentile – i.e., 46% 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 265,878 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them