| Literature DB >> 30301190 |
Cuihua Chen1, Chengcheng Wang2, Zixiu Liu3, Xunhong Liu4,5,6, Lisi Zou7, Jingjing Shi8, Shuyu Chen9, Jiali Chen10, Mengxia Tan11.
Abstract
As one of the major abiotic stresses, salinity stress may affect the physiology and biochemical components of Apocynum venetum L. To systematically evaluate the quality of Apocyni Veneti Folium (AVF) from the perspective of physiological and the wide variety of bioactive components response to various concentrations of salt stress, this experiment was arranged on the basis of ultra-fast liquid chromatography tandem triple quadrupole mass spectrometry (UFLC-QTRAP-MS/MS) technology and multivariate statistical analysis. Physiological characteristics of photosynthetic pigments, osmotic homeostasis, lipid peroxidation product, and antioxidative enzymes were introduced to investigate the salt tolerance mechanism of AVF under salinity treatments of four concentrations (0, 100, 200, and 300 mM NaCl, respectively). Furthermore, a total of 43 bioactive constituents, including 14 amino acids, nine nucleosides, six organic acids, and 14 flavonoids were quantified in AVF under salt stress. In addition, multivariate statistical analysis, including hierarchical clustering analysis, principal component analysis (PCA), and gray relational analysis (GRA) was employed to systematically cluster, distinguish, and evaluate the samples, respectively. Compared with the control, the results demonstrated that 200 mM and 100 mM salt stress contributed to maintain high quality of photosynthesis, osmotic balance, antioxidant enzyme activity, and the accumulation of metabolites, except for total organic acids, and the quality of AVF obtained by these two groups was better than others; however, under severe stress, the accumulation of the oxidative damage and the reduction of metabolite caused by inefficiently scavenging reactive oxygen species (ROS) lead to lower quality. In summary, the proposed method may provide integrated information for the quality evaluation of AVF and other salt-tolerant Chinese medicines.Entities:
Keywords: Apocyni Veneti Folium; multiple bioactive constituents; multivariate statistical analysis; physiological changes; salt stress
Mesh:
Substances:
Year: 2018 PMID: 30301190 PMCID: PMC6213253 DOI: 10.3390/ijms19103042
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Effects of different NaCl concentrations on the chlorophyll (Chl) and carotenoids contents of AVF.
| Treatments | Pigment Content | ||||
|---|---|---|---|---|---|
| Chl a (mg g−1 FW) | Chl b (mg g−1 FW) | total Chl (mg g−1 FW) | Chl a/b | Carotenoids (mg g−1 FW) | |
| 0 mM | 2.35 ± 0.11 c | 0.49 ± 0.06 ab | 2.84 ± 0.05 c | 4.77 ± 0.82 c | 0.86 ± 0.07 c |
| 100 mM | 3.66 ± 0.19 a | 0.55 ± 0.04 a | 4.21 ± 0.22 a | 6.63 ± 0.14 a | 1.25 ± 0.01 a |
| 200 mM | 3.00 ± 0.20 b | 0.48 ± 0.01 ab | 3.47 ± 0.20 b | 6.30 ± 0.49 ab | 1.04 ± 0.02 b |
| 300 mM | 2.31 ± 0.12 c | 0.43 ± 0.01 b | 2.74 ± 0.11 c | 5.33 ± 0.40 bc | 0.83 ± 0.01 c |
Data are the mean ± SD (n = 3). Different letters following values in the same column indicate significant difference among salt treatments using Duncan’s multiple-range test at p < 0.05.
Figure 1Effects of different concentrations of NaCl on soluble sugars (A), soluble proteins (B), proline (C), and MDA (D). Bars are expressed as the mean ± SD (n = 3). Bars carrying different letters are significantly different at p < 0.05.
Figure 2Effects of different NaCl concentrations on the activities of superoxide dismutase (A), peroxidase (B) catalase (C), and ascorbic acid contents (D) in Apocyni Veneti Folium (AVF). Bars are expressed as the mean ± SD (n = 3). Bars carrying different letters are significantly different at p < 0.05 among NaCl treatments.
Figure 3The accumulation of four kinds of constituents in AVF under salt tolerance. Bars are expressed as the mean ± SD (n = 3). Bars carrying different letters are significantly different at p < 0.05 among NaCl treatments.
Figure 4Multivariate statistical analysis of AVF under different salt treatments. Heat map derived from hierarchical clustering analysis (A), principal component analysis (PCA) scores plot (B), and PCA loading plot (C) of AVF.
Quality sequencing of the tested samples affected by NaCl.
| Treatments |
| Quality-Ranking |
|---|---|---|
| 0 mM | 0.3984 | 4 |
| 100 mM | 0.5253 | 2 |
| 200 mM | 0.6363 | 1 |
| 300 mM | 0.4827 | 3 |