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Development of a cooperative two-factor adaptive-evolution method to enhance lipid production and prevent lipid peroxidation in Schizochytrium sp.

Overview of attention for article published in Biotechnology for Biofuels, March 2018
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Title
Development of a cooperative two-factor adaptive-evolution method to enhance lipid production and prevent lipid peroxidation in Schizochytrium sp.
Published in
Biotechnology for Biofuels, March 2018
DOI 10.1186/s13068-018-1065-4
Pubmed ID
Authors

Xiao-Man Sun, Lu-Jing Ren, Zhi-Qian Bi, Xiao-Jun Ji, Quan-Yu Zhao, Ling Jiang, He Huang

Abstract

Schizochytrium sp. is a marine microalga with great potential as a promising sustainable source of lipids rich in docosahexaenoic acid (DHA). This organism's lipid accumulation machinery can be induced by various stress conditions, but this stress induction usually comes at the expense of lower biomass in industrial fermentations. Moreover, oxidative damage induced by various environmental stresses can result in the peroxidation of lipids, and especially polyunsaturated fatty acids, which causes unstable DHA production, but is often ignored in fermentation processes. Therefore, it is urgent to develop new production strains that not only have a high DHA production capacity, but also possess strong antioxidant defenses. Adaptive laboratory evolution (ALE) is an effective method for the development of beneficial phenotypes in industrial microorganisms. Here, a novel cooperative two-factor ALE strategy based on concomitant low temperature and high salinity was applied to improve the production capacity ofSchizochytriumsp. Low-temperature conditions were used to improve the DHA content, and high salinity was applied to stimulate lipid accumulation and enhance the antioxidative defense systems ofSchizochytriumsp. After 30 adaptation cycles, a maximal cell dry weight of 126.4 g/L and DHA yield of 38.12 g/L were obtained in the endpoint strain ALE-TF30, which was 27.42 and 57.52% higher than parental strain, respectively. Moreover, the fact that ALE-TF30 had the lowest concentrations of reactive oxygen species and malondialdehyde among all strains indicated that lipid peroxidation was greatly suppressed by the evolutionary process. Accordingly, the ALE-TF30 strain exhibited an overall increase of gene expression levels of antioxidant enzymes and polyketide synthases compared to the parental strain. This study provides important clues on how to overcome the negative effects of lipid peroxidation on DHA production inSchizochytriumsp. Taken together, the cooperative two-factor ALE process can not only increase the accumulation of lipids rich in DHA, but also prevent the loss of produced lipid caused by lipid peroxidation. The strategy proposed here may provide a new and alternative direction for the industrial cultivation of oil-producing microalgae.

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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 28%
Student > Master 10 15%
Researcher 9 14%
Student > Doctoral Student 6 9%
Student > Bachelor 3 5%
Other 8 12%
Unknown 11 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 26%
Biochemistry, Genetics and Molecular Biology 15 23%
Engineering 5 8%
Chemical Engineering 2 3%
Unspecified 2 3%
Other 5 8%
Unknown 19 29%

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 23 March 2018.
All research outputs
#10,504,531
of 13,791,430 outputs
Outputs from Biotechnology for Biofuels
#735
of 1,057 outputs
Outputs of similar age
#190,333
of 274,380 outputs
Outputs of similar age from Biotechnology for Biofuels
#1
of 1 outputs
Altmetric has tracked 13,791,430 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,057 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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