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Sorting cells of the microalga Chlorococcum littorale with increased triacylglycerol productivity

Overview of attention for article published in Biotechnology for Biofuels, August 2016
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2 tweeters

Citations

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29 Dimensions

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57 Mendeley
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Title
Sorting cells of the microalga Chlorococcum littorale with increased triacylglycerol productivity
Published in
Biotechnology for Biofuels, August 2016
DOI 10.1186/s13068-016-0595-x
Pubmed ID
Authors

Iago Teles Dominguez Cabanelas, Iago Teles Dominguez Cabanelas, Mathijs Zwart, Dorinde M. M. Kleinegris, René H. Wijffels, Maria J. Barbosa

Abstract

Despite extensive research in the last decades, microalgae are still only economically feasible for high valued markets. Strain improvement is a strategy to increase productivities, hence reducing costs. In this work, we focus on microalgae selection: taking advantage of the natural biological variability of species to select variations based on desired characteristics. We focused on triacylglycerol (TAG), which have applications ranging from biodiesel to high-value omega-3 fatty-acids. Hence, we demonstrated a strategy to sort microalgae cells with increased TAG productivity. 1. We successfully identified sub-populations of cells with increased TAG productivity using Fluorescence assisted cell sorting (FACS). 2. We sequentially sorted cells after repeated cycles of N-starvation, resulting in five sorted populations (S1-S5). 3. The comparison between sorted and original populations showed that S5 had the highest TAG productivity [0.34 against 0.18 g l(-1) day(-1) (original), continuous light]. 4. Original and S5 were compared in lab-scale reactors under simulated summer conditions confirming the increased TAG productivity of S5 (0.4 against 0.2 g l(-1) day(-1)). Biomass composition analyses showed that S5 produced more biomass under N-starvation because of an increase only in TAG content and, flow cytometry showed that our selection removed cells with lower efficiency in producing TAGs. All combined, our results present a successful strategy to improve the TAG productivity of Chlorococcum littorale, without resourcing to genetic manipulation or random mutagenesis. Additionally, the improved TAG productivity of S5 was confirmed under simulated summer conditions, highlighting the industrial potential of S5 for microalgal TAG production.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 4%
Netherlands 1 2%
Germany 1 2%
Unknown 53 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 30%
Researcher 10 18%
Student > Bachelor 6 11%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 10 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 37%
Biochemistry, Genetics and Molecular Biology 8 14%
Environmental Science 3 5%
Chemical Engineering 3 5%
Engineering 3 5%
Other 4 7%
Unknown 15 26%

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 15 November 2016.
All research outputs
#4,141,553
of 8,636,243 outputs
Outputs from Biotechnology for Biofuels
#302
of 706 outputs
Outputs of similar age
#114,881
of 239,886 outputs
Outputs of similar age from Biotechnology for Biofuels
#18
of 42 outputs
Altmetric has tracked 8,636,243 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 706 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 239,886 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% 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 54% of its contemporaries.