Molecular Identification Based on Chloroplast Sequences and Anti-complementary Activity Comparison of Juniperus Samples from the Qinghai-Tibet Plateau.

Abstract:

:Juniperus (Cupressaceae, Pinales) plants are widely distributed in the Qinghai-Tibet Plateau of China. The leaves and twigs of at least 8 Juniperus species (J. pingii, J. pingii var. wilsonii, J. squamata, J. recurva var. coxii, J. saltuaria, J. indica, J. tibetica and J. convallium var. microsperma) have been used as the Tibetan medicine Xuba. At present, it is difficult to distinguish among the original species of Xuba based only on their similar morphological characteristics. However, in our previous studies, 4 Xuba samples from different Juniperus species exhibited significant differences in both anticomplementary activity in vitro and anti-inflammatory effects on acute lung injury in vivo. To identify the effective original species of Xuba reliably, in this study, we developed a sequencing-based DNA molecular technology to distinguish 14 populations of 8 Juniperus species collected from Tibet region, using trnS-G, trnD - T, and petN-psbM genomic regions to build phylogenetic trees. In addition, their anticomplementary activities were evaluated. The results showed that combined sequence of these 3 genomic regions could identify 8 Juniperus species clearly and clustered individuals of one species but from different locations, whichever phylogenetic tree was constructed. Moreover, the anticomplementary activities of the 8 species were clustered into 2 groups. Among them, J. saltuaria and J. recurva var. coxii, which formed an independent branch apart from the other 6 species in phylogenetic trees, were the most potent (CH50: 0.029 - 0.032 mg/mL). Consequently, DNA identification of Juniperus using the combined sequence could provide beneficial guidance for further efficacy evaluation and quality control of Xuba.

journal_name

Planta Med

journal_title

Planta medica

authors

Yang YT,De J,Fu ZL,Wang XL,Chen DF,Xie H,Lu Y

doi

10.1055/a-1194-0471

subject

Has Abstract

pub_date

2020-11-01 00:00:00

pages

1176-1184

issue

16

eissn

0032-0943

issn

1439-0221

journal_volume

86

pub_type

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