Comparative analysis of the Dicer-like gene family reveals loss of miR162 target site in SmDCL1 from Salvia miltiorrhiza

The Smi-miR858a-SmMYB module regulates tanshinone and phenolic acid biosynthesis in Salvia miltiorrhiza

Tanshinones and phenolic acids are two major classes of bioactive compounds in Salvia miltiorrhiza. Revealing the regulatory mechanism of their biosynthesis is crucial for quality improvement of S. miltiorrhiza medicinal materials. Here we demonstrated that Smi-miR858a-Smi-miR858c, a miRNA family previously known to regulate flavonoid biosynthesis, also played critical regulatory roles in tanshinone and phenolic acid biosynthesis in S. miltiorrhiza. Overexpression of Smi-miR858a in S. miltiorrhiza plants caused significant growth retardation and tanshinone and phenolic acid reduction. Computational prediction and degradome and RNA-seq analyses revealed that Smi-miR858a could directly cleave the transcripts of SmMYB6, SmMYB97, SmMYB111, and SmMYB112. Yeast one-hybrid and transient transcriptional activity assays showed that Smi-miR858a-regulated SmMYBs, such as SmMYB6 and SmMYB112, could activate the expression of SmPAL1 and SmTAT1 involved in phenolic acid biosynthesis and SmCPS1 and SmKSL1 associated with tanshinone biosynthesis. In addition to directly activating the genes involved in bioactive compound biosynthesis pathways, SmMYB6, SmMYB97, and SmMYB112 could also activate SmAOC2, SmAOS4, and SmJMT2 involved in the biosynthesis of methyl jasmonate, a significant elicitor of plant secondary metabolism. The results suggest the existence of dual signaling pathways for the regulation of Smi-miR858a in bioactive compound biosynthesis in S. miltiorrhiza.

Characteristics of Salvia miltiorrhiza methylome and the regulatory mechanism of DNA methylation in tanshinone biosynthesis

Salvia miltiorrhiza is a model medicinal plant with significant economic and medicinal value. Its roots produce a group of diterpenoid lipophilic bioactive components, termed tanshinones. Biosynthesis and regulation of tanshinones has attracted widespread interest. However, the methylome of S. miltiorrhiza has not been analysed and the regulatory mechanism of DNA methylation in tanshinone production is largely unknown. Here we report single-base resolution DNA methylomes from roots and leaves. Comparative analysis revealed differential methylation patterns for CG, CHG, and CHH contexts and the association between DNA methylation and the expression of genes and small RNAs. Lowly methylated genes always had higher expression levels and 24-nucleotide sRNAs could be key players in the RdDM pathway in S. miltiorrhiza. DNA methylation variation analysis showed that CHH methylation contributed mostly to the difference. Go enrichment analysis showed that diterpenoid biosynthetic process was significantly enriched for genes with downstream overlapping with hypoCHHDMR in July_root when comparing with those in March_root. Tanshinone biosynthesis-related enzyme genes, such as DXS2, CMK, IDI1, HMGR2, DXR, MDS, CYP76AH1, 2OGD25, and CYP71D373, were less CHH methylated in gene promoters or downstream regions in roots collected in July than those collected in March. Consistently, gene expression was up-regulated in S. miltiorrhiza roots collected in July compared with March and the treatment of DNA methylation inhibitor 5-azacytidine significantly promoted tanshinone production. It suggests that DNA methylation plays a significant regulatory role in tanshinone biosynthesis in S. miltiorrhiza through changing the levels of CHH methylation in promoters or downstreams of key enzyme genes.

Targeting the Aspergillus flavus p2c gene through host-induced gene silencing reduces A. flavus infection and aflatoxin contamination in transgenic maize

Aspergillus flavus is an opportunistic fungal pathogen that infects maize and produces aflatoxins. Using biocontrol or developing resistant cultivars to reduce aflatoxin contamination has only achieved limited success. Here, the A. flavus polygalacturonase gene (p2c) was targeted for suppression through host-induced gene silencing (HIGS) to reduce aflatoxin contamination in maize. An RNAi vector carrying a portion of the p2c gene was constructed and transformed into maize B104. Thirteen out of fifteen independent transformation events were confirmed to contain p2c. The T2 generation kernels containing the p2c transgene had less aflatoxin than those without the transgene in six out of eleven events we examined. Homozygous T3 transgenic kernels from four events produced significantly less aflatoxins (P ≤ 0.02) than the kernels from the null or B104 controls under field inoculation conditions. The F1 kernels from the crosses between six elite inbred lines with P2c5 and P2c13 also supported significantly less aflatoxins (P ≤ 0.02) than those from the crosses with null plants. The reduction in aflatoxin ranged from 93.7% to 30.3%. Transgenic leaf (T0 and T3) and kernel tissues (T4) were also found to have significantly higher levels of p2c gene-specific small RNAs. Further, homozygous transgenic maize kernels had significantly less fungal growth (27~40 fold) than the null control kernels 10 days after fungal inoculation in the field. The calculated suppression of p2c gene expression based on RNAseq data was 57.6% and 83.0% in P2c5 and P2c13 events, respectively. These results indicate clearly that the reduced aflatoxin production in the transgenic kernels is due to RNAi-based suppression of p2c expression, which results in reduced fungal growth and toxin production.

TRUEE; a bioinformatic pipeline to define the functional microRNA targetome of Arabidopsis

Central to plant microRNA (miRNA) biology is the identification of functional miRNA-target interactions (MTIs). However, the complementarity basis of bioinformatic target prediction results in mostly false positives, and the degree of complementarity does not equate with regulation. Here, we develop a bioinformatic workflow named TRUEE (Targets Ranked Using Experimental Evidence) that ranks MTIs on the extent to which they are subjected to miRNA-mediated cleavage. It sorts predicted targets into high (HE) and low evidence (LE) groupings based on the frequency and strength of miRNA-guided cleavage degradome signals across multiple degradome experiments. From this, each target is assigned a numerical value, termed a Category Score, ranking the extent to which it is subjected to miRNA-mediated cleavage. As a proof-of-concept, the 428 Arabidopsis miRNAs annotated in miRBase were processed through the TRUEE pipeline to determine the miRNA 'targetome'. The majority of high-ranking Category Score targets corresponded to highly conserved MTIs, validating the workflow. Very few Arabidopsis-specific, Brassicaceae-specific, or Conserved-passenger miRNAs had HE targets with high Category Scores. In total, only several hundred MTIs were found to have Category Scores characteristic of currently known physiologically significance MTIs. Although non-exhaustive, clearly the number of functional MTIs is much narrower than many studies claim. Therefore, using TRUEE to numerically rank targets  directly on experimental evidence has given insights into the scope of the functional miRNA targetome of Arabidopsis.

DICER-LIKE1a autoregulation based on intronic microRNA processing is required for stress adaptation in Physcomitrium patens

The Physcomitrium patens DICER-LIKE1a (PpDCL1a) mRNA encoding the essential Dicer protein for microRNA (miRNA) biogenesis harbors an intronic miRNA (miR1047). An autoregulatory mechanism to control PpDCL1a abundance that is based on competitive processing of the intronic miRNA and proper PpDCL1a mRNA splicing has previously been proposed. If intron splicing occurs first the mRNA can be translated into the functional PpDCL1a protein, whereas the processing of the intronic miRNA catalyzed by PpDCL1a itself, prior to pre-mRNA splicing, generates a truncated transcript unable to produce a functional protein. This proposed autoregulation of DCL1 has not been functionally analyzed in any plant species, and the existence of this autoregulatory control is expected to have a general impact on the overall miRNA biogenesis pathway and the transcriptome that is under miRNA control. We abolished PpDCL1a autoregulatory feedback control by the precise deletion of the MIR1047-containing intron. The generated line displayed hypersensitivity to salt stress and hyposensitivity to the plant hormone ABA, accompanied by the disturbed expression of miRNAs and mRNAs, revealed by transcriptome analyses. The feedback control together with the phenotypic abnormalities and molecular changes in the intron-less line can be rescued by the re-insertion of a modified intron harboring a sequence-unrelated artificial miRNA. Our findings indicate the physiological importance of miR1047-based feedback control of PpDCL1a transcript abundance, which controls the expression of miRNAs, and their cognate target RNAs during salt stress adaptation, and suggests a key role for this autoregulation in the molecular adaptation of land plants to terrestrial habitats.

Noncoding RNAs in Medicinal Plants and their Regulatory Roles in Bioactive Compound Production

BACKGROUND

Noncoding RNAs (ncRNAs), such as microRNAs (miRNAs), small interfering RNAs (siRNAs) and long noncoding RNAs (lncRNAs), play significant regulatory roles in plant development and secondary metabolism and are involved in plant response to biotic and abiotic stresses. They have been intensively studied in model systems and crops for approximately two decades and massive amount of information have been obtained. However, for medicinal plants, ncRNAs, particularly their regulatory roles in bioactive compound biosynthesis, are just emerging as a hot research field.

OBJECTIVE

This review aims to summarize current knowledge on herbal ncRNAs and their regulatory roles in bioactive compound production.

RESULTS

So far, scientists have identified thousands of miRNA candidates from over 50 medicinal plant species and 11794 lncRNAs from Salvia miltiorrhiza, Panax ginseng, and Digitalis purpurea. Among them, more than 30 miRNAs and five lncRNAs have been predicted to regulate bioactive compound production.

CONCLUSION

The regulation may achieve through various regulatory modules and pathways, such as the miR397-LAC module, the miR12112-PPO module, the miR156-SPL module, the miR828-MYB module, the miR858-MYB module, and other siRNA and lncRNA regulatory pathways. Further functional analysis of herbal ncRNAs will provide useful information for quality and quantity improvement of medicinal plants.

Genome-wide identification and functional characterization of natural antisense transcripts in Salvia miltiorrhiza

Salvia miltiorrhiza is one of the most widely used traditional medicines. Natural antisense transcripts (NATs) are a class of long noncoding RNAs that can regulate gene expression. Here, we identified 812 NATs, including 168 cis-NATs and 644 trans-NATs from twelve root, flower, and leaf samples of S. miltiorrhiza using RNA-seq. The expression profiles for 41 of 50 NATs and their sense transcripts (STs) obtained from RNA-Seq were validated using qRT-PCR. The expression profiles of 17 NATs positively correlated with their STs. GO and KEGG pathway analyses mapped the STs for cis-NATs to pathways for biosynthesis of secondary metabolites. We characterized four NATs in detail, including NAT0001, NAT0002, NAT0004, and NAT00023. Their STs are kaurene synthase-like 1 and the homologs of UDP-glucose flavonoid 3-O-glucosyltransferase 6, UDP-glycosyltransferase 90A1, and beta-glucosidase 40, respectively. The first gene is involved in the biosynthesis of bioactive tanshinones, the next two are involved in anthocyanin biosynthesis, whereas the last is involved in phenylpropanoid biosynthesis. Besides, we found seven STs that are potential targets of miRNAs. And we found two miRNAs including miR156a and miR7208, might originate from NATs, NAT0112 and NAT0086. The results suggest that S. miltiorrhiza NATs might interact with STs, produce miRNAs, and be regulated by miRNAs. They potentially play significant regulatory roles in the biosynthesis of bioactive compounds.

Identification and characterization of Dicer-like genes in leaf rust pathogen (Puccinia triticina) of wheat

Puccinia triticina (P. triticina) is one of the most devastating fungal pathogens of wheat which causes significant annual yield loss to the crop. Understanding the gene regulatory mechanism of the biotrophic pathogen is one of the important aspects of host-pathogen interaction studies. Dicer-like genes are considered as important mediators of RNAi-based gene regulation. In this study, we report the presence of three Dicer-like genes (Pt-DCL1, Pt-DCL2, Pt-DCL3) in P. triticina genome identified through computational and biological analyses. Quantitative real-time PCR studies revealed an increase in the expression of these genes in germinating spore stages. Heterologous expression combined with mass spectrometry analysis of Pt-DCL2 confirmed the presence of a canonical Dicer-like gene in P. triticina. Phylogenetic analysis of the Pt-DCLs with the Dicer-like proteins from other organisms showed a distinct cluster of rust pathogens from the order Pucciniales. The results indicated a species-specific duplication of Dicer-like genes within the wheat rust pathogens. This study, for the first time, reports the presence of Dicer-dependent RNAi pathway in P. triticina that may play a role in gene regulatory mechanism of the pathogen during its development. Our study serves as a vital source of information for further RNAi-based molecular studies for better understanding and management of the wheat leaf rust disease.

Research Tools for the Functional Genomics of Plant miRNAs During Zygotic and Somatic Embryogenesis

During early plant embryogenesis, some of the most fundamental decisions on fate and identity are taken making it a fascinating process to study. It is no surprise that higher plant embryogenesis was intensively analysed during the last century, while somatic embryogenesis is probably the most studied regeneration model. Encoded by the MIRNA, short, single-stranded, non-coding miRNAs, are commonly present in all Eukaryotic genomes and are involved in the regulation of the gene expression during the essential developmental processes such as plant morphogenesis, hormone signaling, and developmental phase transition. During the last few years dedicated to miRNAs, analytical methods and tools have been developed, which have afforded new opportunities in functional analyses of plant miRNAs, including (i) databases for in silico analysis; (ii) miRNAs detection and expression approaches; (iii) reporter and sensor lines for a spatio-temporal analysis of the miRNA-target interactions; (iv) in situ hybridisation protocols; (v) artificial miRNAs; (vi) MIM and STTM lines to inhibit miRNA activity, and (vii) the target genes resistant to miRNA. Here, we attempted to summarise the toolbox for functional analysis of miRNAs during plant embryogenesis. In addition to characterising the described tools/methods, examples of the applications have been presented.

LuluDB-The Database Created Based on Small RNA, Transcriptome, and Degradome Sequencing Shows the Wide Landscape of Non-coding and Coding RNA in Yellow Lupine (Lupinus luteus L.) Flowers and Pods

Yellow lupine (Lupinus luteus L.) belongs to a legume family that benefits from symbiosis with nitrogen-fixing bacteria. Its seeds are rich in protein, which makes it a valuable food source for animals and humans. Yellow lupine is also the model plant for basic research on nodulation or abscission of organs. Nevertheless, the knowledge about the molecular regulatory mechanisms of its generative development is still incomplete. The RNA-Seq technique is becoming more prominent in high-throughput identification and expression profiling of both coding and non-coding RNA sequences. However, the huge amount of data generated with this method may discourage other scientific groups from making full use of them. To overcome this inconvenience, we have created a database containing analysis-ready information about non-coding and coding L. luteus RNA sequences (LuluDB). LuluDB was created on the basis of RNA-Seq analysis of small RNA, transcriptome, and degradome libraries obtained from yellow lupine cv. Taper flowers, pod walls, and seeds in various stages of development, flower pedicels, and pods undergoing abscission or maintained on the plant. It contains sequences of miRNAs and phased siRNAs identified in L. luteus, information about their expression in individual samples, and their target sequences. LuluDB also contains identified lncRNAs and protein-coding RNA sequences with their organ expression and annotations to widely used databases like GO, KEGG, NCBI, Rfam, Pfam, etc. The database also provides sequence homology search by BLAST using, e.g., an unknown sequence as a query. To present the full capabilities offered by our database, we performed a case study concerning transcripts annotated as DCL 1–4 (DICER LIKE 1–4) homologs involved in small non-coding RNA biogenesis and identified miRNAs that most likely regulate DCL1 and DCL2 expression in yellow lupine. LuluDB is available at http://luluseqdb.umk.pl/basic/web/index.php.

Identification of Appropriate Reference Genes for Normalizing miRNA Expression in Citrus Infected by Xanthomonas citri subsp. citri

MicroRNAs (miRNAs) are short noncoding RNA molecules that regulate gene expression at the posttranscriptional level. Reverse transcription-quantitative PCR (RT-qPCR) is one of the most common methods used for quantification of miRNA expression, and the levels of expression are normalized by comparing with reference genes. Thus, the selection of reference genes is critically important for accurate quantification. The present study was intended to identify appropriate miRNA reference genes for normalizing the level of miRNA expression in Citrus sinensis L. Osbeck and Citrus reticulata Blanco infected by Xanthomonas citri subsp. citri, which caused citrus canker disease. Five algorithms (Delta Ct, geNorm, NormFinder, BestKeeper and RefFinder) were used for screening reference genes, and two quantification approaches, poly(A) extension RT-qPCR and stem-loop RT-qPCR, were used to determine the most appropriate method for detecting expression patterns of miRNA. An overall comprehensive ranking output derived from the multi-algorithms showed that poly(A)-tailed miR162-3p/miR472 were the best reference gene combination for miRNA RT-qPCR normalization in citrus canker research. Candidate reference gene expression profiles determined by poly(A) RT-qPCR were more consistent in the two citrus species. To the best of our knowledge, this is the first systematic comparison of two miRNA quantification methods for evaluating reference genes. These results highlight the importance of rigorously assessing candidate reference genes and clarify some contradictory results in miRNA research on citrus.

RNA Interference: A Natural Immune System of Plants to Counteract Biotic Stressors

During plant-pathogen interactions, plants have to defend the living transposable elements from pathogens. In response to such elements, plants activate a variety of defense mechanisms to counteract the aggressiveness of biotic stressors. RNA interference (RNAi) is a key biological process in plants to inhibit gene expression both transcriptionally and post-transcriptionally, using three different groups of proteins to resist the virulence of pathogens. However, pathogens trigger an anti-silencing mechanism through the expression of suppressors to block host RNAi. The disruption of the silencing mechanism is a virulence strategy of pathogens to promote infection in the invaded hosts. In this review, we summarize the RNA silencing pathway, anti-silencing suppressors, and counter-defenses of plants to viral, fungal, and bacterial pathogens.

Systematic analysis of DEMETER-like DNA glycosylase genes shows lineage-specific Smi-miR7972 involved in SmDML1 regulation in Salvia miltiorrhiza

DEMETER-like DNA glycosylases (DMLs) initiate the base excision repair-dependent DNA demethylation to regulate a wide range of biological processes in plants. Six putative SmDML genes, termed SmDML1-SmDML6, were identified from the genome of S. miltiorrhiza, an emerging model plant for Traditional Chinese Medicine (TCM) studies. Integrated analysis of gene structures, sequence features, conserved domains and motifs, phylogenetic analysis and differential expression showed the conservation and divergence of SmDMLs. SmDML1, SmDML2 and SmDML4 were significantly down-regulated by the treatment of 5Aza-dC, a general DNA methylation inhibitor, suggesting involvement of SmDMLs in genome DNA methylation change. SmDML1 was predicted and experimentally validated to be target of Smi-miR7972. Computational analysis of forty whole genome sequences and almost all of RNA-seq data from Lamiids revealed that MIR7972s were only distributed in some plants of the three orders, including Lamiales, Solanales and Boraginales, and the number of MIR7972 genes varied among species. It suggests that MIR7972 genes underwent expansion and loss during the evolution of some Lamiids species. Phylogenetic analysis of MIR7972s showed closer evolutionary relationships between MIR7972s in Boraginales and Solanales in comparison with Lamiales. These results provide a valuable resource for elucidating DNA demethylation mechanism in S. miltiorrhiza.

Genome wide identification of microRNAs involved in fatty acid and lipid metabolism of Brassica napus by small RNA and degradome sequencing

Rapeseed (Brassica napus) is an important cash crop considered as the third largest oil crop worldwide. Rapeseed oil contains various saturation or unsaturation fatty acids, these fatty acids, whose could incorporation with TAG form into lipids stored in seeds play various roles in the metabolic activity. The different fatty acids in B. napus seeds determine oil quality, define if the oil is edible or must be used as industrial material. miRNAs are kind of non-coding sRNAs that could regulate gene expressions through post-transcriptional modification to their target transcripts playing important roles in plant metabolic activities. We employed high-throughput sequencing to identify the miRNAs and their target transcripts involved in fatty acids and lipids metabolism in different development of B. napus seeds. As a result, we identified 826 miRNA sequences, including 523 conserved and 303 newly miRNAs. From the degradome sequencing, we found 589 mRNA could be targeted by 236 miRNAs, it includes 49 novel miRNAs and 187 conserved miRNAs. The miRNA-target couple suggests that bna-5p-163957_18, bna-5p-396192_7, miR9563a-p3, miR9563b-p5, miR838-p3, miR156e-p3, miR159c and miR1134 could target PDP, LACS9, MFPA, ADSL1, ACO32, C0401, GDL73, PlCD6, OLEO3 and WSD1. These target transcripts are involving in acetyl-CoA generate and carbon chain desaturase, regulating the levels of very long chain fatty acids, β-oxidation and lipids transport and metabolism process. At the same, we employed the q-PCR to valid the expression of miRNAs and their target transcripts that involve in fatty acid and lipid metabolism, the result suggested that the miRNA and their transcript expression are negative correlation, which in accord with the expression of miRNA and its target transcript. The study findings suggest that the identified miRNA may play important role in the fatty acids and lipids metabolism in seeds of B. napus.

Characterization of the polyphenol oxidase gene family reveals a novel microRNA involved in posttranscriptional regulation of PPOs in Salvia miltiorrhiza

Salvia miltiorrhiza is a well-known material of traditional Chinese medicine. Understanding the regulatory mechanisms of phenolic acid biosynthesis and metabolism are important for S. miltiorrhiza quality improvement. We report here that S. miltiorrhiza contains 19 polyphenol oxidases (PPOs), forming the largest PPO gene family in plant species to our knowledge. Analysis of gene structures and sequence features revealed the conservation and divergence of SmPPOs. SmPPOs were differentially expressed in plant tissues and eight of them were predominantly expressed in phloem and xylem, indicating that some SmPPOs are functionally redundant, whereas the others are associated with different physiological processes. Expression patterns of eighteen SmPPOs were significantly altered under MeJA treatment, and twelve were yeast extract and Ag⁺-responsive, suggesting the majority of SmPPOs are stress-responsive. Analysis of high-throughput small RNA sequences and degradome data showed that miR1444-mediated regulation of PPOs existing in P. trichocarpa is absent from S. miltiorrhiza. Instead, a subset of SmPPOs was posttranscriptionally regulated by a novel miRNA, termed Smi-miR12112. It indicates the specificity and significance of miRNA-mediated regulation of PPOs. The results shed light on the regulation of SmPPO expression and suggest the complexity of SmPPO-associated phenolic acid biosynthesis and metabolism.

The evolution of microRNAs in plants

MicroRNAs (miRNAs) are a central player in post-transcriptional regulation of gene expression and are involved in numerous biological processes in eukaryotes. Knowledge of the origins and divergence of miRNAs paves the way for a better understanding of the complexity of the regulatory networks that they participate in. The biogenesis, degradation, and regulatory activities of miRNAs are relatively better understood, but the evolutionary history of miRNAs still needs more exploration. Inverted duplication of target genes, random hairpin sequences and small transposable elements constitute three main models that explain the origination of miRNA genes (MIR). Both inter-species and intra-species divergence of miRNAs exhibits functional adaptation and adaptation to changing environments in evolution. Here we summarize recent progress in studies on the evolution of MIR and related genes.

ARGONAUTE Genes in Salvia miltiorrhiza: Identification, Characterization, and Genetic Transformation

Small RNA-mediated gene silencing is a vital regulatory mechanism in eukaryotes that requires ARGONAUTE (AGO) proteins. Salvia miltiorrhiza is a well-known traditional Chinese medicinal plant. Therefore, it is important to characterize S. miltiorrhiza AGO family genes as they may be involved in multiple metabolic pathways. This chapter introduces the detailed protocol for SmAGO gene prediction and molecular cloning. In addition, an Agrobacterium-mediated genetic transformation method for S. miltiorrhiza is presented. These methodologies can be used to functionally study SmAGO genes as well as other genes of interest in S. miltiorrhiza.