ABSTRACT
This study aims to explore the molecular regulation mechanism of the differential accumulation of flavonoids in the leaves and roots of Sarcandra glabra. Liquid chromatography-mass spectrometry(LC-MS) and high-throughput transcriptome sequencing(RNA-seq) were employed to screen out the flavonoid-related differential metabolites and differentially expressed genes(DEGs) encoding key metabolic enzymes. Eight DEGs were randomly selected for qRT-PCR verification. The results showed that a total of 37 flavonoid-related differential metabolites between the leaves and roots of S. glabra were obtained, including pinocembrin, phlorizin, na-ringenin, kaempferol, leucocyanidin, and 5-O-caffeoylshikimic acid. The transcriptome analysis predicted 36 DEGs associated with flavonoids in the leaves and roots of S. glabra, including 2 genes in the PAL pathway, 3 genes in the 4CL pathway, 2 genes in the CHS pathway, 4 genes in the CHI pathway, 2 genes in the FLS pathway, 1 gene in the DFR pathway, 1 gene in the CYP73A pathway, 1 gene in the CYP75B1 pathway, 3 genes in the PGT1 pathway, 6 genes in the HCT pathway, 2 genes in the C3'H pathway, 1 gene in the CCOAOMT pathway, 1 gene in the ANR pathway, 1 gene in the LAR pathway, 2 genes in the 3AT pathway, 1 gene in the BZ1 pathway, 2 genes in the IFTM7 pathway, and 1 gene in the CYP81E9 pathway. Six transcription factors, including C2H2, bHLH, and bZIP, were involved in regulating the differential accumulation of flavonoids in the leaves and roots of S. glabra. The qRT-PCR results showed that the up-or down-regulated expression of the 8 randomly selected enzyme genes involved in flavonoid synthesis in the leaves and roots of S. glabra was consistent with the transcriptome sequencing results. This study preliminarily analyzed the transcriptional regulation mechanism of differential accumulation of flavonoids in the leaves and roots of S. glabra, laying a foundation for further elucidating the regulatory effects of key enzyme genes and corresponding transcription factors on the accumulation of flavonoids in S. glabra.
Subject(s)
Metabolome , Gene Expression Regulation, Plant , Flavonoids , Gene Expression Profiling , Transcriptome , Transcription Factors/metabolismABSTRACT
Objective: In recent years,with the increase in the commodity price of medicinal pheretima,there have emerged increasing adulterates in the medicine market. Besides,the medicinal materials have mostly lost the main identification features, and are difficult to distinguish. Therefore,it is urgent to establish an accurate and stable method for the identification of pheretima. Method: According to the differences of COI gene DNA sequences among Pheretima aspergillum,Pheretima vulgaris,Pheretima guillelmi,Pheretima pectinifera and adulterants,the variation site was found,the specific primers were designed,the reaction conditions were optimized,and the polymerase Chain reaction(PCR) method for identification was explored and verified in terms of tolerance and feasibility in this study. The specific primers were combined to build multiple PCR systems. An effective,accurate,convenient,highly specific and repeatable Multiplex Allele-Specific PCR identification method was established for identifying medicinal pheretima and its common adulterants. Result: Through the established multiplex PCR reaction system, 366,487,487 and 475 bp of fragments were amplified from DNA templates of P. aspergillum,P. vulgaris,P. guillelmi and P.pectinifera respectively. All of the adulterants were negative by the multiplex PCR assay. The PCR amplification of specific alleles method established in this paper can accurately identify pheretima. Conclusion: The Multiplex Allele-Specific PCR identification method established in this paper can accurately identify medicinal pheretima and its adulterants.
ABSTRACT
For rapid identification of Cervus nippon, C. elaphus and their hybridize samples, the specific PCR for mutual authentication of them was established based on the SNPs in COI and SRY sequence. C. nippon, C. elaphus and their hybridize samples were collected from different origins, total DNA of 24 identified samples were extracted, and the COI and SRY gene was seqenced. SNPs in the COI and SRY sequences of the samples were found by Clustul X 2.1 program. Primers for identifying C. nippon and C. elaphus were designed according to the SNP site, two multi-PCR reaction system were established to identify them. In addition, 24 samples which were randomly collected in different herbal medicine market were identified. The band special for C. nippon (232 bp)and band special for C. elaphus (518 bp) based on COI sequence,and the band special for C. nippon (803 bp)and band special for C. elaphus (425 bp) based on SRY sequence, were found using multi-PCR reaction, and three of the twenty-four samples were identified as the hybridize samples. The multi-PCR reaction system could be used to identify C. nippon, C. elaphus and their hybridize samples.
ABSTRACT
Objective: For rapid identification of Houttuynia cordata and Gymnotheca chinensis, the specific PCR for mutual authentication of them was established based on the SNPs in matK sequence. Methods: H. cordata and G. chinensis samples from different origins were collected, total DNA of all samples was extracted, and the matK gene was seqenced. SNPs in the matK sequences of all the samples were found by ClustulX 2.1 program. Primers for identifying H. cordata and G. chinens were designed according to the SNP site, and specific PCR method was established to identify them, for rapid detection by addition of SYBR Green I dye. In addition, constructing a multi-PCR reaction system, and then the PCR reaction system was optimized. Results: The band special for H. cordata (185 bp) and band special for G. chinensis (389 bp) were found using specific PCR reaction and multi-PCR reaction, and SYBR Green I dye can be used for rapid detection. Conclusion: The multi-PCR reaction system could be used to identify H. cordata and G. chinensis.
ABSTRACT
Objective: To analyze the correlation of DNA fingerprints of Sarcandra glabra with different quality levels and its quality. Methods: Using ISSR-PCR, 100 ISSR primers (UBC801-UBC900) were screened, and 23 of them were polymorphic. The 23 ISSR primers were used to amplify 18 S. glabra samples from different habitats. Based on the 18 ISSR amplified bands, the data base of amplified bands fingerprint was established using Excel. Results: one hundred and ninty-eight bands were obtained. Each primer amplified eight bands on average. The number of polymorphic DNA bands was 184, and the polymorphic proportion of DNA bands was 92.9%. Seven sites in two primers (UBC811 and UBC825) screened from 23 polymorphic ISSR primers were in one group, and seven sites in three primers (UBC827, UBC834, and UBC842) were in another group. The DNA fingerprints of 18 S. glabra samples were established, and U844-6 bands were screened from 184 polymorphic bands to correlate with sample quality. Conclusion: ISSR molecular markers could identify the DNA fingerprints of 18 S. glabra samples, and screen one band that is related to the quality.
ABSTRACT
Objective: To study the ribosomal DNA internal transcribed spacer (rDNA-ITS) sequences of Sarcandra glabra from different areas and five plants in Chloranthus Swartz, and to provide pattern recognition and thread for the species identification of S. glabra. Methods: The ITS sequences of 18 populations of S. glabra and six populations of Chloranthus spicatus were amplified by PCR with universal primer of ITS and sequenced, and the ITS sequences of the other plants in Chloranthus Swartz were searched in GeneBank. Data were analyzed by ClustalX 2.1, and a cluster analysis was presented by UPGMA. Results: The semblance of ITS sequences of S. glabra from different areas was 99%. The total mutation rate of ITS1 sequence (2.7%) was higher than that of ITS2 sequence (1.4%). However, compared with other plants in Chloranthus Swartz, the total mutation rate of ITS2 sequence (20.3%-22.7%) was higher than that of ITS1 sequence (15.9%-18.3%). The cluster analysis showed that there was little variation among the 18 populations of S. glabra, but there was significant difference with the five plants of Chloranthus Swartz. Conclusion: ITS sequence can be used to identify the plants from different areas and in different genus, ITS sequence of S. glabra has several specified information sites to identify the five plants in Chloranthus Swartz, with significantly different cluster analyseis, and is the active molecular marker for the species identification of S. glabra and plants in Chloranthus Swartz.
ABSTRACT
The paper is aimed to identify SNP in Sarcandra glabra and Chloranthus spicatus, and authenticate S. glabra from Ch. spicatus and the mixture by using PCR amplification of specific alleles. SNPs in the ITS sequences of S. glabra and Ch. spicatus were found by ClustulX 2. 1 program and Bioedit software. Primers for authentic S. glabra and Ch. spicatus was designed according to the SNP site, and ITS sequence universal primers plus to the authentic primer to construct a multi-PCR reaction system, and then optimized the PCR reaction system. Five hundred and eighty band special for S. glabra and 470 bp band special for Ch. spicatus were found by using multi-PCR reaction. The multi-PCR reaction system could be applied to identify S. glabra and Ch. spicatus's leaves.
Subject(s)
DNA, Plant , Genetics , DNA, Ribosomal , Genetics , DNA, Ribosomal Spacer , Genetics , Magnoliopsida , Classification , Genetics , Plant Leaves , Genetics , Polymerase Chain Reaction , Polymorphism, Single Nucleotide , RNA, Ribosomal , Genetics , RNA, Ribosomal, 18S , Genetics , Genetics , Species SpecificityABSTRACT
The study is aimed to assess the genetic diversity and genetic relationship of 18 Sarcandra glabra resources from different populations,and guide parent selection of cross breeding between these resources. The molecular marker technique ISSR was used to investigate the genetic diversity of the 18 resources. Data was analyzed by POPGEN 32, and a cluster diagram was presented by UPGMA. One hundred and ninety-eight amplified fragments were obtained using 23 ISSR primers. One hundred and eighty-four polymorphic loci were identified. Nei's genetic diversity index (h) was 0.32, Shannon diversity index (I) was 0.485 4. The genetic similarity coefficient among the resources ranged from 0.383 8 to 0.878 8 in an average of 0.661 2. The genetic distance between sample S2 and sample S18 was the farthest, so as between sample S3 and sample S18 both Nei's genetic distance was 0.957 5, The genetic distance between sample S4 and sample S5 was the closest, the Nei's genetic distance was 0.129 2,and the sample S1, S2, S3, S7, S10 were significantly different from the others based on the clustering analysis, the three groups S2 vs S3, S2 vs S6, S2 vs S18 were the best parent group selection. There was a middle level of genetic differentiation in the resources. The genetic distance between resources gives useful information to guide parent selection of cross breeding.