Shu-nan LI, Yin-quan WANG, Fu-sheng WANG, et al. Metabonomics Analysis on Different Varieties of Angelica sinensis Based on UPLC-Q-TOF-MS[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(8): 138-147.
DOI:
Shu-nan LI, Yin-quan WANG, Fu-sheng WANG, et al. Metabonomics Analysis on Different Varieties of Angelica sinensis Based on UPLC-Q-TOF-MS[J]. Chinese journal of experimental traditional medical formulae, 2020, 26(8): 138-147. DOI: 10.13422/j.cnki.syfjx.20200611.
Metabonomics Analysis on Different Varieties of Angelica sinensis Based on UPLC-Q-TOF-MS
To establish differential metabolites between different varieties of
Angelica sinensis
and provide reference for breeding
introduction
regional cultivation and ecological cultivation of new varieties of
A
.
sinensis
.
Method:
2
Comprehensive non-target metabonomics analysis was conducted for five new varieties of
A
.
sinensis
collected at the same time from the same origin: Mingui No. 1 (MG1)
Mingui No. 2 (MG2)
Mingui No. 4 (MG4)
Mingui No. 5 (MG5)
and Mingui No. 6 (MG6). The 50% methanol extract of each variety was taken
and then the differential metabolites among varieties were found by using ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS)
software Progenesis QI
principal component analysis (PCA)
partial least squares discriminant analysis (PLS-DA)
and non-targeted metabonomics analysis. Differential metabolites were identified based on precise molecular weight
secondary fragments
KEGG database
HMDE database and related literature information.
Result:
2
The results of UPLC-Q-TOF-MS and multivariate statistical analysis showed that there were significant differences in the metabolites of five
Angelica
varieties. As compared with MG1
the contents of chlorogenic acid
ferulic acid
tryptophan and ferulic aldehyde were significantly lower in MG2
MG4
MG5 and MG6
while the contents of ligustilide
coumarin
bovine keratin
palmitin
protocatechualdehyde and linolenic acid were significantly higher (
P
<
0.05). The results of multivariate statistical analysis showed that the metabolites of MG2 and MG5 were similar with those of MG6
but were significantly different from those of MG4.In addition
38 distinct metabolites were identified
involving 7 potential targeted metabolic pathways. Different varieties of
A
.
sinensis
could regulate the synthesis of their metabolites through phenylpropanoid biosynthesis and sesquiterpene-like compounds metabolism
lipid metabolism
amino acid metabolism
carbohydrate metabolism
nucleotide metabolism
carotenoids
linolenic acid
linoleic acid and some other metabolic pathways.
Conclusion:
2
UPLC-Q-TOF-MS and Progenesis QI metabonomics techniques were used to compare the chemical constituents of different varieties of
A
.
sinensis
from the overall level. The differences and their regularities were found
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Cloning and Expression Patterns of Coumarate-3-hydroxylase Gene from Angelica sinensis and Its Correlation with Content of Ferulic Acid
Combination of Components from Tripterygii Radix et Rhizoma-Chuanxiong Rhizoma Affects RA-FLSs by Regulating NF-κB, Nrf2/HO-1 Signaling Pathways and Bcl-2/Caspase-3 Expression
Quality Evaluation and Suggestions on Pharmacopoeia Standard of Eucommiae Folium
Differential Analysis of Flavonoid-regulated Genes in Two Cultivars of Angelica sinensis Based on Hybrid Sequencing Strategy
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Related Institution
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