ABSTRACT
Plant flowering regulation is an important mechanism to response to environmental stress. Heat shock protein 70 family is one of the main molecular chaperones to resist stress; miRNA can be used as a negative regulator to participate in post-transcriptional gene in flowering network. In this paper, we obtained an Hsp70 gene from Lonicera japonica transcriptome and combined with Lonicera japonica miRNA library to obtain a novel miRNA that may target Hsp70 gene through bioinformatics method. Bioinformatics and expression during different flowering stages of the obtained Hsp70 gene and miRNA were analyzed. Phylogenetic tree showed that the obtained Hsp70 gene was clustered with Hsp110 subfamily in Oryza sativa and Arabidopis thaliana. The prediction of miRNA secondary structure showed its stable structure and high reliability. The binding site map showed that there were two base mismatches between sequences of miRNA and Hsp70 gene. The expression analysis showed that the expression of Hsp70 and miRNA in different flowering stages had opposite trends, indicating that miRNA might regulate Hsp70 to participate in the flowering stages of Lonicera japonica. This study provided new ideas for Lonicera japonica flowering regulation and response to environmental stress mechanisms.
ABSTRACT
A total of 58 varieties in Lonicera japonica from 20 producing areas were amplified by 22 pairs of SSR primers. Seven pairs of polymorphic primers were screened and their primers were used to establish DNA identity card and analyze genetic similarity.All the 58 varieties could be distinguished each other by the DNA identity card constituted by 7 pairs of core SSR primers.The genetic similarity coefficients of 58 varieties ranged from 0.366 7 to 0.916 7 by using PopGene32（vesion1.32）. Furthermore, all the varieties consistency were classified into 4 groups and constructed an evaluation table according to cluster analysis by an un-weighted pair-group average method with arithmetic mean. As expected, the results of cluster and evaluation table reflected 58 varieties relatives, which provide reference information for the selection of fine germplasm of L. japonica and the theoretical basis for the study of Dao-di herbs.
ABSTRACT
LC-MS was used to detect 41 population of Lonicera japonica from different areas. LC-MS chemical chromatographic profile has been established. There were 23 common peaks, seventeen of which were identified according to reference standard and reference; SPSS software was applied to calculate the similarity of chemical fingerprints of 41 batches and the range was from 0.99 to 0.12. On this basis, the L. japonica's metabolites consistency was classified. Combined with comprehensive analysis of genetic identity, we can provide a theoretical basis for the authenticity research of Dao-di herbs and reference information for the breeding of excellent L. japonica.