Selection and Verification of Standardized Reference Genes of Angelica dahurica under Various Abiotic Stresses by Real-Time Quantitative PCR.

In traditional Chinese medicine, Angelica dahurica is a valuable herb with numerous therapeutic applications for a range of ailments. There have not yet been any articles on the methodical assessment and choice of the best reference genes for A. dahurica gene expression studies. Real-time quantitative PCR (RT-qPCR) is widely employed as the predominant method for investigating gene expression. In order to ensure the precise determination of target gene expression outcomes in RT-qPCR analysis, it is imperative to employ stable reference genes. In this study, a total of 11 candidate reference genes including SAND family protein (SAND), polypyrimidine tract-binding protein (PTBP), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), actin (ACT), TIP41-like protein (TIP41), cyclophilin 2 (CYP2), elongation factor 1 α (EF1α), ubiquitin-protein ligase 9 (UBC9), tubulin ß-6 (TUB6), thioredoxin-like protein YLS8 (YLS8), and tubulin-α (TUBA) were selected from the transcriptome of A. dahurica. Subsequently, three statistical algorithms (geNorm, NormFinder, and BestKeeper) were employed to assess the stability of their expression patterns across seven distinct stimulus treatments. The outcomes obtained from these analyses were subsequently amalgamated into a comprehensive ranking using RefFinder. Additionally, one target gene, phenylalanine ammonia-lyase (PAL), was used to confirm the effectiveness of the selected reference genes. According to the findings of this study, the two most stable reference genes for normalizing the expression of genes in A. dahurica are TIP41 and UBC9. Overall, our research has determined the appropriate reference genes for RT-qPCR in A. dahurica and provides a crucial foundation for gene screening and identifying genes associated with the biosynthesis of active ingredients in A. dahurica.

Assembly and comparative analysis of the first complete mitochondrial genome of a traditional Chinese medicine Angelica biserrata (Shan et Yuan) Yuan et Shan.

Duhuo, a member of the Angelica family, is widely used to treat ailments such as rheumatic pain. It possesses a diverse array of bioactivities, including anti-tumor, anti-inflammatory, and analgesic properties, as recent pharmacological research has revealed. Nevertheless, the mtDNA of Angelica species remains relatively unexplored. To address this gap, we sequenced and assembled the mtDNA of A. biserrata to shed light on its genetic mechanisms and evolutionary pathways. Our investigation indicated a distinctive multi-branched conformation in the A. biserrata mtDNA. A comprehensive analysis of protein-coding sequences (PCGs) across six closely related species revealed the presence of 11 shared genes in their mitochondrial genomes. Intriguingly, positive selection emerged as a significant factor in the evolution of the atp4, matR, nad3, and nad7 genes. In addition, our data highlighted a recurring trend of homologous fragment migration between chloroplast and mitochondrial organelles. We identified 13 homologous fragments spanning both chloroplast and mitochondrial genomes. The phylogenetic tree established a close relationship between A. biserrata and Saposhnikovia divaricata. To sum up, our research would contribute to the application of population genetics and evolutionary studies in the genus Acanthopanax and other genera in the Araliaceae family.

Transcriptome analysis provides insights into coumarin biosynthesis in the medicinal plant Angelica dahurica cv. Yubaizhi.

Angelica dahurica roots have a long history of use in traditional Chinese medicine due to their high coumarin content. To address the increasing demand for these roots, a synthetic biology approach has been proposed. Nevertheless, our comprehension of coumarin biosynthesis and its regulation remains limited. In this study, we utilized Hiseq2500 sequencing to analyze the transcriptomes of A. dahurica at different growth stages while concurrently quantifying coumarin content. Differentially expressed gene (DEG) analysis was employed to identify key genes involved in coumarin and terpenoid backbone biosynthesis. Weighted gene co-expression network analysis (WGCNA) was applied to identify gene modules strongly associated with coumarin content, elucidating the regulatory relationships between transcription factors (TFs) and pathway genes. Furthermore, KEGG enrichment analysis was used to explore essential pathways governing coumarin biosynthesis, with the identification of hub genes. Our results indicated that total coumarin content was highest in the roots, followed by leaves and stems, across all three developmental stages. Transcriptome analysis identified a total of 92,478 genes, among which 215 and 30 genes were implicated in coumarin and terpenoid backbone biosynthesis, respectively. Within the 73 identified gene modules by WGCNA, three modules-namely aquamarine1 (comprising two OMTs, one CSE, one AACT, one HDS, two PSs, one 2OGO, four UGTs, and seven CYP450s), darkmagenta (containing one UGT and one HDR), and navajowhite2 (consisting of one HCT, three UGTs, one CYP71A25, one OMT, one CSE, one HDS, and one PT)-were strongly associated with imperatorin, oxypeucedanin, and isoimperatorin content, respectively. KEGG enrichment analysis highlighted significant enrichment of cytochrome P450, transporter, and ubiquitin system pathways. Moreover, TF-gene regulatory analysis unveiled the complexity of coumarin biosynthesis, with 17 TF families regulating 17 genes in the aquamarine1 module, 8 TF families regulating 2 genes in the darkmagenta module, and 8 TF families regulating 7 genes in the navajowhite2 module. These comprehensive findings provide valuable insights into coumarin biosynthesis in A. dahurica, facilitating future research and potential applications in traditional Chinese medicine and synthetic biology strategies.

Population genetic structure of wild Angelica acutiloba, A. acutiloba var. iwatensis, and their hybrids by atpF-atpA intergenic spacer in chloroplast DNA and genome-wide SNP analysis using MIG-seq.

Sampling surveys of Angelica acutiloba and A. acutiloba var. iwatensis, which are medicinal plants endemic to Japan, were conducted in the Chubu region in the central area of the main island of Japan. A. acutiloba grows in riverbeds in mountainous areas, while A. acutiloba. var. iwatensis grows on slopes near mountain ridges at 1000 m above sea level or on constantly collapsing rocky slopes and bare fields on developed land along asphalt roads in valleys of mountainous areas. Specimens of two wild Angelica species collected in this region were examined for maternal lineage by DNA polymorphism analysis of the atpF-atpA region for chloroplast DNA using direct sequencing and genomic component analysis by genome-wide SNP using MIG-seq. In this study area, while all A. acutiloba populations were monophyletic in both maternal and ancestral lineages, A. acutiloba var. iwatensis were genetically heterogeneous due to being composed of three maternal and three ancestral lineages to various degrees. In addition, a natural hybrid population with maternal lineage presumed to be A. acutiloba and paternal lineage A. acutiloba var. iwatensis was also found. In the present study, we report that the combined method of atpF-atpA and MIG-seq analyses is a useful tool for determining the population genetic structure of two wild Angelica species and for identifying hybrids.

Analysis of the difference between early-bolting and non-bolting roots of Angelica dahurica based on transcriptome sequencing.

Angelica dahurica (Fisch. ex Hoffm.) Benth.et Hook.f.var.formosana (Boiss.) Shan et Yuan (A. dahurica) is a well-known medicinal plant that has a wide range of applications in the pharmaceutical, food, cosmetic, and other industries. However, the issue of early bolting has emerged as a major hindrance to its production. This problem not only reduces the yield of A. dahurica, but also has an impact on its active ingredients. To date, the molecular factors that contribute to early bolting and its impact on the growth of A. dahurica have not been thoroughly investigated. Therefore, we conducted a transcriptome study using the Illumina NovaSeq 6000 on two developmental types: early-bolting and non-bolting (normal) roots of A. dahurica. We obtained 2,185 up-regulated and 1,414 down-regulated genes in total. Many of the identified transcripts were related to genes involved in early bolting. The gene ontology analysis revealed several differentially expressed genes that are crucial in various pathways, primarily associated with cellular, molecular, and biological processes. Additionally, the morphological characteristics and coumarin content in the early bolting roots of A. dahurica were significantly altered. This study provides insight into the transcriptomic regulation of early bolting in A. dahurica, which can potentially be utilized to enhance its medicinal properties.

Spatial Genomic Resource Reveals Molecular Insights into Key Bioactive-Metabolite Biosynthesis in Endangered Angelica glauca Edgew.

Angelica glauca Edgew, which is an endangered medicinal and aromatic herb, is a rich source of numerous industrially important bioactive metabolites, including terpenoids, phenolics, and phthalides. Nevertheless, genomic interventions for the sustainable utilization and restoration of its genetic resources are greatly offset due to the scarcity of the genomic resources and key regulators of the underlying specialized metabolism. To unravel the global atlas of the specialized metabolism, the first spatial transcriptome sequencing of the leaf, stem, and root generated 109 million high-quality paired-end reads, assembled de novo into 81,162 unigenes, which exhibit a 61.53% significant homology with the six public protein databases. The organ-specific clustering grouped 1136 differentially expressed unigenes into four subclusters differentially enriched in the leaf, stem, and root tissues. The prediction of the transcriptional-interactome network by integrating enriched gene ontology (GO) and the KEGG metabolic pathways identified the key regulatory unigenes that correspond to terpenoid, flavonoid, and carotenoid biosynthesis in the leaf tissue, followed by the stem and root tissues. Furthermore, the stem and root-specific significant enrichments of phenylalanine ammonia lyase (PAL), cinnamate-4-hydroxylase (C4H), and caffeic acid 3-O-methyltransferase (COMT) indicate that phenylalanine mediated the ferulic acid biosynthesis in the stem and root. However, the root-specific expressions of NADPH-dependent alkenal/one oxidoreductase (NADPH-AOR), S-adenosyl-L-methionine-dependent methyltransferases (SDMs), polyketide cyclase (PKC), and CYP72A15 suggest the "root" as the primary site of phthalide biosynthesis. Additionally, the GC-MS and UPLC analyses corresponded to the organ-specific gene expressions, with higher contents of limonene and phthalide compounds in the roots, while there was a higher accumulation of ferulic acid in the stem, followed by in the root and leaf tissues. The first comprehensive genomic resource with an array of candidate genes of the key metabolic pathways can be potentially utilized for the targeted upscaling of aromatic and pharmaceutically important bioactive metabolites. This will also expedite genomic-assisted conservation and breeding strategies for the revival of the endangered A. glauca.

Chemotaxonomic Classification of Peucedanum japonicum and Its Chemical Correlation with Peucedanum praeruptorum, Angelica decursiva, and Saposhnikovia divaricata by Liquid Chromatography Combined with Chemometrics.

The roots of Peucedanum japonicum (Apiaceae) have been used as an alternative to the roots of Saposhnikovia divaricata (Apiaceae) to treat common cold-related symptoms in Korea. However, a variety of Peucedanum species, including the roots of P. praeruptorum or Angelica decursiva (=P. decursivum), have been used to treat phlegm-heat-induced symptoms in China. Hence, as there are differences in the medicinal application of P. japonicum roots between Korea and China, chemotaxonomic classification of P. japonicum was evaluated. Sixty samples derived from P. japonicum, P. praeruptorum, A. decursiva, and S. divaricata were phylogenetically identified using DNA barcoding tools, and chemotaxonomic correlations among the samples were evaluated using chromatographic profiling with chemometric analyses. P. japonicum samples were phylogenetically grouped into the same cluster as P. praeruptorum samples, followed by S. divaricata samples at the next cluster level, whereas A. decursiva samples were widely separated from the other species. Moreover, P. japonicum samples showed higher chemical correlations with P. praeruptorum samples or A. decursiva samples, but lower or negative chemical correlations with S. divaricata samples. These results demonstrate that P. japonicum is more genetically and chemically relevant to P. praeruptorum or A. decursiva and, accordingly, the medicinal application of P. japonicum might be closer to the therapeutic category of these two species than that of S. divaricata.

Limited genetic diversity and high differentiation in Angelica dahurica resulted from domestication: insights to breeding and conservation.

BACKGROUND: Angelica dahurica belongs to the Apiaceae family, whose dry root is a famous traditional Chinese medicine named as "Bai zhi". There are two cultivars (A. dahurica cv. 'Hangbaizhi' and A. dahurica cv. 'Qibaizhi'), which have been domesticated for thousands of years. Long term artificial selection has led to great changes in root phenotypes of the two cultivars, and also decreased their adaptability to environment. We proposed hypothesis that the cultivars may have lost some of the genetic diversity found in the wild species and may be highly differentiated from the latter during the domestication process. However, few studies have been carried out on how domestication affected the genetic variation of this species. Here, we accessed the levels of genetic variation and differentiation within and between wild A. dahurica populations and two cultivars using 12 microsatellite markers. RESULTS: The results revealed that the genetic diversity of the cultivars was much lower than that of wild A. dahurica, and A. dahurica cv. 'Qibaizhi' had lower genetic diversity compared to A. dahurica cv. 'Hangbaizhi'. AMOVA analysis showed significant genetic differentiation between the wild and cultivated A. dahurica populations, and between A. dahurica cv. 'Hangbaizhi' and A. dahurica cv. 'Qibaizhi'. Results from Bayesian, UPGMA, NJ and PcoA clustering analysis indicated that all 15 populations were assigned to two genetic clusters corresponding to the wild and cultivated populations. Bayesian clustering analysis further divided the cultivated populations into two sub-clusters corresponding to the two cultivars. CONCLUSIONS: Our study suggests that the domestication process is likely the major factor resulting in the loss of genetic diversity in cultivated A. dahurica populations and in significant genetic differentiation from the wild populations due to founder effect and/or artificially directional selections. This large-scale analysis of population genetics could provide valuable information for genetic resources conservation and breeding programs of Angelica dahurica.

Development and characterization of microsatellite markers for the French endemic Angelica heterocarpa (Apiaceae) and congeneric sympatric species.

OBJECTIVE: Angelica heterocarpa (Apiaceae) is a wild endemic French species with special conservation interest in the European Union. It belongs to Angelica complex genus which is widespread throughout the north temperate zone, and is sympatric with other congeneric species. The objective of this work is to develop and characterize microsatellite markers as a new tool for understanding the ecology and evolution of Angelica species complex. RESULTS: We identified simple sequence repeat (SSR) regions in a microsatellite-enriched library from A. heterocarpa and A. sylvestris. All 16 selected SSR regions were found to amplify in these species and were highly polymorphic. Marker transferability was validated in A. razulii and A. archangelica. These markers will help us to better understand the evolutionary dynamic between rare endemics and widespread sister species, and be useful for conservation of the endemic species. Moreover, they can provide new tools for studying the numerous traditional medicinal herbs of the Angelica genus.

Evaluation of Angelica decursiva reference genes under various stimuli for RT-qPCR data normalization.

Angelica decursiva is one of the lending traditional Chinese medicinal plants producing coumarins. Notably, several studies have focused on the biosynthesis and not the RT-qPCR (quantitative real-time reverse transcription polymerase chain reaction) study of coumarins. This RT-qPCR technique has been extensively used to investigate gene expression levels in plants and the selection of reference genes which plays a crucial role in standardizing the data form the RT-qPCR analysis. In our study, 11 candidate reference genes were selected from the existing transcriptome data of Angelica decursiva. Here, four different types of statistical algorithms (geNorm, NormFinder, BestKeeper, and Delta Ct) were used to calculate and evaluate the stability of gene expression under different external treatments. Subsequently, RefFinder analysis was used to determine the geometric average of each candidate gene ranking, and to perform comprehensive index ranking. The obtained results showed that among all the 11 candidate reference genes, SAND family protein (SAND), protein phosphatase 2A gene (PP2A), and polypyrimidine tract-binding protein (PTBP) were the most stable reference genes, where Nuclear cap binding protein 2 (NCBP2), TIP41-like protein (TIP41), and Beta-6-tubulin (TUBA) were the least stable genes. To the best of our knowledge, this work is the first to evaluate the stability of reference genes in the Angelica decursiva which has provided an important foundation on the use of RT-qPCR for an accurate and far-reaching gene expression analysis in this medicinal plant.

De novo transcriptome assembly of Angelica dahurica and characterization of coumarin biosynthesis pathway genes.

Angelica dahurica (Hoffm.) Benth. & Hook.f. ex Franch. & Sav (A. dahurica) is a famous Chinese herb known for the production of coumarins, important secondary metabolites with wide-ranging pharmacological activities. In particular, the methoxylated coumarins like those produced by A. dahurica are known for their anti-inflammatory, anti-cancer, and anti-oxidant pharmacological effects. However, the molecular mechanism of coumarin biosynthesis in A. dahurica has not been studied. Such investigation could help scientists harness the biosynthesis potential of methoxylated coumarins. Here we present, three transcriptomes corresponding to leaf, root, and stem tissues of A. dahurica. A total of 114,310 unigenes with an average length of 1118 bp were de novo assembled, and 81,404 (71.21%) of those unigenes were annotated. Then, 181 unigenes encoding the seven key enzymes involved were identified, for which COMT (Caffeic acid 3-O-methyltransferase) was spatially used in a phylogenetic analysis, and some of these key enzyme genes were verified by qRT-PCR. Differentially expressed genes and root-specific-expressed genes were identified, by comparing genes' profile activity between roots and other tissues. Furthermore, multiple genes encoding key enzymes or transcription factors related to coumarin biosynthesis were identified and analyzed. This study is the first to report comprehensive gene information of A. dahurica at the transcriptional level, and to distinguish candidate genes related to its biosynthesis of coumarin, thus laying a foundation for this pathway's further exploration in A. dahurica.

Parallel evolution of UbiA superfamily proteins into aromatic O-prenyltransferases in plants.

Plants produce ∼300 aromatic compounds enzymatically linked to prenyl side chains via C-O bonds. These O-prenylated aromatic compounds have been found in taxonomically distant plant taxa, with some of them being beneficial or detrimental to human health. Although their O-prenyl moieties often play crucial roles in the biological activities of these compounds, no plant gene encoding an aromatic O-prenyltransferase (O-PT) has been isolated to date. This study describes the isolation of an aromatic O-PT gene, CpPT1, belonging to the UbiA superfamily, from grapefruit (Citrus × paradisi, Rutaceae). This gene was shown responsible for the biosynthesis of O-prenylated coumarin derivatives that alter drug pharmacokinetics in the human body. Another coumarin O-PT gene encoding a protein of the same family was identified in Angelica keiskei, an apiaceous medicinal plant containing pharmaceutically active O-prenylated coumarins. Phylogenetic analysis of these O-PTs suggested that aromatic O-prenylation activity evolved independently from the same ancestral gene in these distant plant taxa. These findings shed light on understanding the evolution of plant secondary (specialized) metabolites via the UbiA superfamily.

Phylogenomic and evolutionary dynamics of inverted repeats across Angelica plastomes.

BACKGROUND: Angelica L. (family Apiaceae) is an economically important genus comprising ca. One hundred ten species. Angelica species are found on all continents of the Northern Hemisphere, and East Asia hosts the highest number of species. Morphological characters such as fruit anatomy, leaf morphology and subterranean structures of Angelica species show extreme diversity. Consequently, the taxonomic classification of Angelica species is complex and remains controversial, as the classifications proposed by previous studies based on morphological data and molecular data are highly discordant. In addition, the phylogenetic relationships of major clades in the Angelica group, particularly in the Angelica s. s. clade, remain unclear. Chloroplast (cp) genome sequences have been widely used in phylogenetic studies and for evaluating genetic diversity. RESULTS: In this study, we sequenced and assembled 28 complete cp genomes from 22 species, two varieties and two cultivars of Angelica. Combined with 36 available cp genomes in GenBank from representative clades of the subfamily Apioideae, the characteristics and evolutionary patterns of Angelica cp genomes were studied, and the phylogenetic relationships of Angelica species were resolved. The Angelica cp genomes had the typical quadripartite structure including a pair of inverted repeats (IRs: 5836-34,706 bp) separated by a large single-copy region (LSC: 76,657-103,161 bp) and a small single-copy region (SSC: 17,433-21,794 bp). Extensive expansion and contraction of the IR region were observed among cp genomes of Angelica species, and the pattern of the diversification of cp genomes showed high consistency with the phylogenetic placement of Angelica species. Species of Angelica were grouped into two major clades, with most species grouped in the Angelica group and A. omeiensis and A. sinensis grouped in the Sinodielsia with Ligusticum tenuissimum. CONCLUSIONS: Our results further demonstrate the power of plastid phylogenomics in enhancing the phylogenetic reconstructions of complex genera and provide new insights into plastome evolution across Angelica L.

cDNA Cloning and Functional Analyses of Ashitaba (Angelica keiskei) Sesquiterpene Synthase Genes.

Angelica keiskei (ashitaba) is an edible plant belonging to the Apiacea family. We focused on sesquiterpenes in the leaves eaten by humans (specifically, in the Japanese population), and confirmed the presence of several sesquiterpenes by GC-MS. Thus, total RNA was extracted from the ashitaba leaves, reverse transcribed, and the resultant cDNAs were used for degenerate PCR followed by rapid amplification of cDNA ends. Consequently, we were able to isolate two full-length Tps genes (designated AkTps1 and AkTps2). Functional analysis of these two genes was carried out with Escherichia coli cells that expressed mevalonate pathway genes to increase the substrate (farnesyl diphosphate) amount of sesquiterpene synthase, revealing that AkTps1 encodes germacrene D synthase, and AkTps2 codes for an enzyme that catalyzes the generation of germacrene B and smaller amounts of germacrene D (a germacrene B and D synthase). We proposed biosynthetic routes of these two sesquiterpenes from farnesyl diphosphate (FPP) via farnesyl cation.

Functional characterization of cinnamate 4-hydroxylase from Helianthus annuus Linn using a fusion protein method.

Sunflower (Helianthus annuus L.) is an important oil crop, the secondary metabolites of it include many compounds such as flavonoids and lignin. However, the research on the biosynthesis of phenolic compounds in sunflowers is still scarce. Cinnamate 4-hydroxylase (C4H) belongs to the cytochrome P450-dependent monooxygenase family and is involved in the synthesis of many phenolic compounds, but C4H in sunflowers has not yet been cloned and functionally characterized. In this study, we screened three C4H genes from the sunflower transcriptome and genomic databases, named HaC4H1, HaC4H2, and, HaC4H3, respectively. In heterologous expression experiments, we had improved a method from previous studies by the addition of restriction sites to make it easier to express multiple C4H functions and suitable for in vitro activity verification. HaC4Hs without the N-terminal membrane anchor region was fused with a redox partner of Arabidopsis thaliana cytochrome P450 enzyme (CYP450) by the method and functionally expressed in E. coli and the results showed that these three enzymes catalyzed the formation of p-coumaric acid. To further investigate whether our fusion protein approach is applicable to other C4Hs, we used this method to explore the functions of C4H from Peucedanum praeruptorum and Angelica decursiva, and they can also convert trans-cinnamic acid to p-coumaric acid. The gene expression profile showed that all three HaC4H genes showed the highest transcription levels in the roots and might be up-regulated by MeJA. In summary, these results reveal the function of HaC4Hs in sunflower and provide a simpler way to explore C4H and even other cytochrome P450 enzymes in prokaryotic expression systems.

Development and characterization of 16 novel microsatellite markers by Transcriptome sequencing for Angelica dahurica and test for cross-species amplification.

BACKGROUND: Angelica dahurica (Apiaceae) is an important herb in traditional Chinese medicine. Because of its important medicinal and economic values, its wild resources were over-exploited and increasingly reduced. Meanwhile, the diversity of cultivars of A. dahurica has decreased as a result of long-term artificial cultivation. However, there are no population genetics studies of natural A. dahurica reported yet, especially for using microsatellite markers (SSRs) to investigate population genetics of the species. RESULTS: Sixteen polymorphic EST-SSR loci were isolated from A. dahurica with transcriptome sequencing technology (RNA-Seq). The number of alleles varied from 2 to 15 per polymorphic locus over populations with the observed and expected heterozygosities ranging from 0.000 to 1.000 and from 0.000 to 0.829, respectively. Significant deviations from Hardy-Weinberg equilibrium were observed at 8 loci. Tests of linkage disequilibrium showed 11 informative locus pairs were significant across all populations. Cross-species amplification showed that 14 out of 16 SSR loci have the transferability in cultivar-A. dahurica cv. 'Hangbaizhi' and A. decursiva. CONCLUSIONS: The 16 newly developed loci microsatellite primers with RNA-Seq will be useful for further investigating population genetics of A. dahurica, cultivars and other members of this genus.

Mining of simple sequence repeats (SSRs) loci and development of novel transferability-across EST-SSR markers from de novo transcriptome assembly of Angelica dahurica.

Angelica dahurica is a widely grown plant species with multiple uses, especially in the medical field. However, the frequent introduction of A. dahurica to new areas has made it difficult to distinguish between varieties. Simple sequence repeats (SSRs) detected based on transcriptome analyses are very useful for constructing genetic maps and analyzing genetic diversity. They are also relevant for the molecular marker-assisted breeding of A. dahurica. We identified 33,724 genic SSR loci based on transcriptome sequencing data. A total of 114 primer pairs were designed for the SSR loci and were tested for their specificity and diversity. Ten SSR loci in untranslated regions were ultimately selected. Subsequently, 56 A. dahurica ecotypes collected from different regions were analyzed. The SSR loci comprised 2-8 alleles, with a mean of 5.2 alleles per locus. The polymorphic information content value and Shannon's information index were 0.6274-0.2702 (average of 0.4091) and 1.3040-0.5618 (average of 0.8475), respectively. Thus, the 10 novel SSRs identified in this study were almost in accordance with Harvey-Weinberg equilibrium and will be useful for analyzing A. dahurica genetic relationships. The results of this study confirm the potential value of transcriptome databases for the development of new SSR markers.

Sequencing and Comparative Analysis of the Chloroplast Genome of Angelica polymorpha and the Development of a Novel Indel Marker for Species Identification.

The genus Angelica (Apiaceae) comprises valuable herbal medicines. In this study, we determined the complete chloroplast (CP) genome sequence of A. polymorpha and compared it with that of Ligusticum officinale (GenBank accession no. NC039760). The CP genomes of A. polymorpha and L. officinale were 148,430 and 147,127 bp in length, respectively, with 37.6% GC content. Both CP genomes harbored 113 unique functional genes, including 79 protein-coding, four rRNA, and 30 tRNA genes. Comparative analysis of the two CP genomes revealed conserved genome structure, gene content, and gene order. However, highly variable regions, sufficient to distinguish between A. polymorpha and L. officinale, were identified in hypothetical chloroplast open reading frame1 (ycf1) and ycf2 genic regions. Nucleotide diversity (Pi) analysis indicated that ycf4⁻chloroplast envelope membrane protein (cemA) intergenic region was highly variable between the two species. Phylogenetic analysis revealed that A. polymorpha and L. officinale were well clustered at family Apiaceae. The ycf4-cemA intergenic region in A. polymorpha carried a 418 bp deletion compared with L. officinale. This region was used for the development of a novel indel marker, LYCE, which successfully discriminated between A. polymorpha and L. officinale accessions. Our results provide important taxonomic and phylogenetic information on herbal medicines and facilitate their authentication using the indel marker.

Isolation and evaluation of endophytic Bacillus tequilensis GYLH001 with potential application for biological control of Magnaporthe oryzae.

Biological control is a promising measure in the control of plant disease. In the present study, we isolated 13 endophytic strains from Angelica dahurica. Among them, an endophytic strain which was named GYLH001 exhibited remarkable activity against Magnaporthe oryzae. 16S rRNA sequence analysis, biochemical and physiological proved that it is Bacillus tequilensis. The sterilized culture filtrate of GYLH001 can inhibit the growth of M.oryzae, which suggests the presence of secondary metabolites. Proved by experiment, GYLH001 can produce cellulase, protease, gelatinase, indole-3-acetic acid and 1-amino-cyclopropane-1-carboxylate deaminase. In addition, the temperature experiment showed that secondary metabolites produced by GYLH001 had good thermal stability. They can remain activity even heated at 100°C for 30 min. They also had good acid-resistance in heavily acidic condition. But under alkaline condition, the antifungal effect decreased significantly. By simulative field tests, the spraying of GYLH001 spore solution could prevent and treat rice blast. Through continuous separation and purification of sterilized culture filtrate and identification by mass spectrometry, the molecular weight of an active substance is 364.26. In the control of rice blast, B. tequilensis GYLH001 has potential as a biological control agent in agriculture.