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Transcriptome Analysis in Haematococcus pluvialis: Astaxanthin Induction by Salicylic Acid (SA) and Jasmonic Acid (JA)

Overview of attention for article published in PLOS ONE, October 2015
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Title
Transcriptome Analysis in Haematococcus pluvialis: Astaxanthin Induction by Salicylic Acid (SA) and Jasmonic Acid (JA)
Published in
PLOS ONE, October 2015
DOI 10.1371/journal.pone.0140609
Pubmed ID
Authors

Zhengquan Gao, Yan Li, Guanxun Wu, Guoqiang Li, Haifeng Sun, Suzhen Deng, Yicheng Shen, Guoqiang Chen, Ruihao Zhang, Chunxiao Meng, Xiaowen Zhang

Abstract

Haematococcus pluvialis is an astaxanthin-rich microalga that can increase its astaxanthin production by salicylic acid (SA) or jasmonic acid (JA) induction. The genetic transcriptome details of astaxanthin biosynthesis were analyzed by exposing the algal cells to 25 mg/L of SA and JA for 1, 6 and 24 hours, plus to the control (no stress). Based on the RNA-seq analysis, 56,077 unigenes (51.7%) were identified with functions in response to the hormone stress. The top five identified subcategories were cell, cellular process, intracellular, catalytic activity and cytoplasm, which possessed 5600 (~9.99%), 5302 (~9.45%), 5242 (~9.35%), 4407 (~7.86%) and 4195 (~7.48%) unigenes, respectively. Furthermore, 59 unigenes were identified and assigned to 26 putative transcription factors (TFs), including 12 plant-specific TFs. They were likely associated with astaxanthin biosynthesis in Haematococcus upon SA and JA stress. In comparison, the up-regulation of differential expressed genes occurred much earlier, with higher transcript levels in the JA treatment (about 6 h later) than in the SA treatment (beyond 24 h). These results provide valuable information for directing metabolic engineering efforts to improve astaxanthin biosynthesis in H. pluvialis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
New Zealand 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Researcher 17 18%
Student > Master 10 10%
Student > Doctoral Student 6 6%
Other 6 6%
Other 15 16%
Unknown 25 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 33%
Biochemistry, Genetics and Molecular Biology 18 19%
Chemical Engineering 3 3%
Immunology and Microbiology 2 2%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 8 8%
Unknown 31 32%
Attention Score in Context

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 21 October 2015.
All research outputs
#20,294,248
of 22,830,751 outputs
Outputs from PLOS ONE
#173,964
of 194,862 outputs
Outputs of similar age
#237,335
of 283,131 outputs
Outputs of similar age from PLOS ONE
#4,829
of 5,543 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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