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Feasibility and transcriptomic analysis of betalain production by biomembrane surface fermentation of Penicillium novae-zelandiae

Overview of attention for article published in AMB Express, January 2018
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1 tweeter

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22 Mendeley
Title
Feasibility and transcriptomic analysis of betalain production by biomembrane surface fermentation of Penicillium novae-zelandiae
Published in
AMB Express, January 2018
DOI 10.1186/s13568-017-0529-4
Pubmed ID
Authors

Hailei Wang, Yi Li, Kun Zhang, Yingqun Ma, Ping Li

Abstract

In this study, a biomembrane surface fermentation was used to produce red pigments of Penicillium novae-zelandiae, and the significant improvement in pigment production by the addition of 0.4 g/L of tyrosine demonstrated that the red pigments probably contained betalain. Therefore, one red pigment was purified, and identified as 2-decarboxybetanin by high-resolution mass spectrometry (MS) and MS/MS analysis. Transcriptomic analysis revealed the differentially expressed genes and metabolic profile of P. novae-zelandiae in response to different cultivations and exhibited the complete biosynthetic pathway of 2-decarboxybetanin in P. novae-zelandiae. Betalains are important water-soluble nitrogen-containing food coloring agents, obtained mainly from beetroot by chemical extraction. This paper is the first report about the production of betalain by microbial fermentation, and results exhibit the possible use of fungal fermentation in future 2-decarboxybetanin production.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 18%
Student > Doctoral Student 2 9%
Professor 2 9%
Researcher 2 9%
Student > Ph. D. Student 2 9%
Other 4 18%
Unknown 6 27%
Readers by discipline Count As %
Chemistry 5 23%
Biochemistry, Genetics and Molecular Biology 3 14%
Agricultural and Biological Sciences 3 14%
Economics, Econometrics and Finance 1 5%
Linguistics 1 5%
Other 2 9%
Unknown 7 32%

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 09 January 2018.
All research outputs
#7,743,666
of 12,341,908 outputs
Outputs from AMB Express
#343
of 765 outputs
Outputs of similar age
#199,262
of 354,806 outputs
Outputs of similar age from AMB Express
#13
of 38 outputs
Altmetric has tracked 12,341,908 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 765 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 5th percentile – i.e., 5% 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 354,806 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.