| Title |
Comparative analysis of glucosinolates and metabolite profiling of green and red mustard (brassica juncea) hairy roots
|
|---|---|
| Published in |
3 Biotech, August 2018
|
| DOI | 10.1007/s13205-018-1393-x |
| Pubmed ID | |
| Authors |
Do Manh Cuong, Jae Kwang Kim, Sun Ju Bong, Seung A Baek, Jin Jeon, Jong Seok Park, Sang Un Park |
| Abstract |
Here, accumulation of glucosinolates and expression of glucosinolates biosynthesis genes in green and red mustard hairy roots were identified and quantified by HPLC and qRT-PCR analyses. The total glucosinolates content of green mustard hairy root (10.09 µg/g dry weight) was 3.88 times higher than that of red mustard hairy root. Indolic glucosinolates (glucobrassicin, 4-methoxyglucobrassicin, and neoglucobrassicin) in green mustard were found at 30.92, 6.95, and 5.29 times higher than in red mustard hairy root, respectively. Conversely, levels of glucotropaeolin (aromatic glucosinolate) was significantly higher in red mustard than in green mustard. Accumulation of glucoraphasatin, an aliphatic glucosinolate, was only observed only in red mustard hairy roots. Quantitative real-time PCR analysis showed that the expression level of genes related to aliphatic and aromatic glucosinolate biosynthesis were higher in red mustard, exception BjCYP83B. The expression of BjCYP79B2, which encodes a key enzyme involved in the indolic glucosinolate biosynthetic pathway, was higher in green mustard than in red mustard. Additionally, to further distinguish between green mustard and red mustard hairy roots, hydrophilic and lipophilic compounds were identified by gas chromatography-mass spectrometry and subjected to principal component analysis. The results indicated that core primary metabolites and glucosinolate levels were higher in the hairy roots of green mustard than in those of red mustard. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 2 | 17% |
| Researcher | 2 | 17% |
| Student > Ph. D. Student | 2 | 17% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 2 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 4 | 33% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Unspecified | 1 | 8% |
| Social Sciences | 1 | 8% |
| Unknown | 4 | 33% |
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 28 August 2018.
All research outputs
#20,532,290
of 23,102,082 outputs
Outputs from 3 Biotech
#821
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Outputs of similar age
#291,145
of 334,082 outputs
Outputs of similar age from 3 Biotech
#33
of 52 outputs
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