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Lipid production and molecular dynamics simulation for regulation of accD gene in cyanobacteria under different N and P regimes

Overview of attention for article published in Biotechnology for Biofuels, April 2017
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Title
Lipid production and molecular dynamics simulation for regulation of accD gene in cyanobacteria under different N and P regimes
Published in
Biotechnology for Biofuels, April 2017
DOI 10.1186/s13068-017-0776-2
Pubmed ID
Authors

Roshan Kumar, Koushik Biswas, Puneet Kumar Singh, Pankaj Kumar Singh, Sanniyasi Elumalai, Pratyoosh Shukla, Sunil Pabbi

Abstract

Microalgae grown under different nutrient deficient conditions present a good source of natural lipids with applications for several types of biofuels. The expression of acetyl-CoA carboxylase gene can further provide an insight to the mechanisms leading to enhanced lipid production under such stresses. In this study, two nutrients viz. nitrogen and phosphorus were modulated to see its effect on lipid productivity in selected cyanobacteria and its correlation with Accase followed by molecular dynamics simulation. Selected cyanobacteria viz. Oscillatoria sp. (SP8), Anabaena sp. (SP12), Anabaena sp. (SP13), Microcoleus sp. (SP18), and Nostoc sp. (SP20) varied in their ability to accumulate lipids which ranged from a lowest of 0.13% in Anabaena sp. (SP13) to the maximum of 7.24% in Microcoleus sp. (SP18). Microcoleus sp. (SP18) also recorded highest lipid accumulation at both N (6 mM NaNO3) and P (0.20 mM K2HPO4) limiting conditions. The overall expression of accD was found to be upregulated in both Oscillatoria sp. (SP8) and Microcoleus sp. (SP18) for all nitrogen concentrations but was differentially regulated with both positive and negative induction under phosphorus stress conditions. Maximum induction was observed in Microcoleus sp. (SP18) at 0.20 mM K2HPO4. The obtained 3D structure of SP8 protein (21.8 kDa) showed six alpha helices, while SP18 protein (16.7 kDa) exhibited four alpha helices and four beta sheets. The phi (ϕ)/psi(ψ) angles of the amino acid residues observed in Ramachandran plot analysis showed that both SP8 and SP18 proteins were highly stable with more than 90% amino acids in allowed regions. The molecular dynamics simulation results also indicated the stability of ligand-bound protein complexes. It has been demonstrated that cyanobacterial isolates are affected differently by nutrient limitation leading to variation in their lipid productivity. The same has been revealed by the behavior of accD gene expression which was regulated more by nutrients concentrations rather than the organism. However, the ligand-bound protein complexes were stable throughout MD simulations.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Researcher 6 14%
Student > Doctoral Student 5 11%
Student > Master 3 7%
Other 3 7%
Other 6 14%
Unknown 13 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 7 16%
Environmental Science 4 9%
Engineering 2 5%
Physics and Astronomy 1 2%
Other 3 7%
Unknown 20 45%

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 22 April 2017.
All research outputs
#5,210,021
of 9,722,262 outputs
Outputs from Biotechnology for Biofuels
#444
of 840 outputs
Outputs of similar age
#135,922
of 262,214 outputs
Outputs of similar age from Biotechnology for Biofuels
#22
of 39 outputs
Altmetric has tracked 9,722,262 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 840 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 43rd percentile – i.e., 43% 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 262,214 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.