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Insight into metabolic pathways of the potential biofuel producer, Paenibacillus polymyxa ICGEB2008

Overview of attention for article published in Biotechnology for Biofuels and Bioproducts, September 2015
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Title
Insight into metabolic pathways of the potential biofuel producer, Paenibacillus polymyxa ICGEB2008
Published in
Biotechnology for Biofuels and Bioproducts, September 2015
DOI 10.1186/s13068-015-0338-4
Pubmed ID
Authors

Nidhi Adlakha, Thomas Pfau, Oliver Ebenhöh, Syed Shams Yazdani

Abstract

Paenibacillus polymyxa is a facultative anaerobe known for production of hydrolytic enzymes and various important biofuel molecules. Despite its wide industrial use and the availability of its genome sequence, very little is known about metabolic pathways operative in the Paenibacillus system. Here, we report metabolic insights of an insect gut symbiont, Paenibacillus polymyxa ICGEB2008, and reveal pathways playing an important role in the production of 2,3-butanediol and ethanol. We developed a metabolic network model of P. polymyxa ICGEB2008 with 133 metabolites and 158 reactions. Flux balance analysis was employed to investigate the importance of redox balance in ICGEB2008. This led to the detection of the Bifid shunt, a pathway previously not described in Paenibacillus, which can uncouple the production of ATP from the generation of reducing equivalents. Using a combined experimental and modeling approach, we further studied pathways involved in 2,3-butanediol and ethanol production and also demonstrated the production of hydrogen by the organism. We could further show that the nitrogen source is critical for metabolite production by Paenibacillus, and correctly quantify the influence on the by-product metabolite profile of ICGEB2008. Both simulations and experiments showed that metabolic flux is diverted from ethanol to acetate production when an oxidized nitrogen source is utilized. We have created a predictive model of the central carbon metabolism of P. polymyxa ICGEB2008 and could show the presence of the Bifid shunt and explain its role in ICGEB2008. An in-depth study has been performed to understand the metabolic pathways involved in ethanol, 2,3-butanediol and hydrogen production, which can be utilized as a basis for further metabolic engineering efforts to improve the efficiency of biofuel production by this P. polymyxa strain.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Thailand 1 2%
South Africa 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 23%
Student > Master 8 13%
Student > Ph. D. Student 7 12%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 11 18%
Unknown 12 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 32%
Biochemistry, Genetics and Molecular Biology 12 20%
Chemical Engineering 5 8%
Environmental Science 5 8%
Engineering 2 3%
Other 4 7%
Unknown 13 22%
Attention Score in Context

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 29 September 2015.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Biotechnology for Biofuels and Bioproducts
#944
of 1,578 outputs
Outputs of similar age
#162,049
of 286,220 outputs
Outputs of similar age from Biotechnology for Biofuels and Bioproducts
#20
of 42 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,578 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 37th percentile – i.e., 37% 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 286,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.