Yijun Meng

MicroRNA-mediated signaling involved in plant root development.

MicroRNA (miRNA), recently recognized as a critical post-transcriptional modulator of gene expression, is involved in numerous biological processes in both animals and plants. Although eudicots and monocots, such as the model plants Arabidopsis (Arabidopsis thaliana) and rice (Oryza sativa), possess distinct root systems, several homologous miRNA families are reported to be involved in root growth control in both plants. Consistent with recent notion that numerous signaling pathways are implicated in root development, these miRNAs are implicated in auxin signaling, nutrition metabolism, or stress response and have potential role in mediating the signal interactions. However, a recapitulative representation of these results is especially desired. This review provides a global view of the involvement of miRNAs in root development focusing on the two plants, Arabidopsis and rice. Based on current research advances, several innovative mechanisms of miRNA transcription, feedback regulatory circuit between miRNAs and transcription factors (TFs), and miRNA-mediated signal interactions are also discussed.

PRIN: a predicted rice interactome network

BackgroundProtein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of living organisms. Although high-throughput technologies such as yeast two-hybrid system and affinity purification followed by mass spectrometry are widely used in model organisms, the progress of protein-protein interactions detection in plants is rather slow. With this motivation, our work presents a computational approach to predict protein-protein interactions in Oryza sativa.ResultsTo better understand the interactions of proteins in Oryza sativa, we have developed PRIN, a Predicted Rice Interactome Network. Protein-protein interaction data of PRIN are based on the interologs of six model organisms where large-scale protein-protein interaction experiments have been applied: yeast (Saccharomyces cerevisiae), worm (Caenorhabditis elegans), fruit fly (Drosophila melanogaster), human (Homo sapiens), Escherichia coli K12 and Arabidopsis thaliana. With certain quality controls, altogether we obtained 76,585 non-redundant rice protein interaction pairs among 5,049 rice proteins. Further analysis showed that the topology properties of predicted rice protein interaction network are more similar to yeast than to the other 5 organisms. This may not be surprising as the interologs based on yeast contribute nearly 74% of total interactions. In addition, GO annotation, subcellular localization information and gene expression data are also mapped to our network for validation. Finally, a user-friendly web interface was developed to offer convenient database search and network visualization.ConclusionsPRIN is the first well annotated protein interaction database for the important model plant Oryza sativa. It has greatly extended the current available protein-protein interaction data of rice with a computational approach, which will certainly provide further insights into rice functional genomics and systems biology.PRIN is available online at http://bis.zju.edu.cn/prin/.

Genome-wide survey of rice microRNAs and microRNA–target pairs in the root of a novel auxin-resistant mutant

Auxin is one of the central hormones in plants, and auxin response factor (ARF) is a key regulator in the early auxin response. MicroRNAs (miRNAs) play an essential role in auxin signal transduction, but knowledge remains limited about the regulatory network between miRNAs and protein-coding genes (e.g. ARFs) involved in auxin signalling. In this study, we used a novel auxin-resistant rice mutant with plethoric root defects to investigate the miRNA expression patterns using microarray analysis. A number of miRNAs showed reduced auxin sensitivity in the mutant compared with the wild type, consistent with the auxin-resistant phenotype of the mutant. Four miRNAs with significantly altered expression patterns in the mutant were further confirmed by Northern blot, which supported our microarray data. Clustering analysis revealed some novel auxin-sensitive miRNAs in roots. Analysis of miRNA duplication and expression patterns suggested the evolutionary conservation between miRNAs and protein-coding genes. MiRNA promoter analysis suggested the possibility that most plant miRNAs might share the similar transcriptional mechanisms with other non-plant eukaryotic genes transcribed by RNA polymerase II. Auxin response elements were proved to be more frequently present in auxin-related miRNA promoters. Comparative analysis of miRNA and protein-coding gene expression datasets uncovered many reciprocally expressed miRNA–target pairs, which could provide some hints for miRNA downstream analysis. Based on these findings, we also proposed a feedback circuit between miRNA(s) and ARF(s). The results presented here could serve as the basis for further in-depth studies of plant miRNAs involved in auxin signalling.

The regulatory activities of plant microRNAs: a more dynamic perspective

Twenty years have passed since the first discovery of the microRNA (miRNA) genes in Caenorhabditis elegans. Based on the growing research progress, we are approaching an understanding of this small RNA species, which seemed to be mysterious before. The regulatory activities of miRNAs have been extensively studied through target identification, physiological and phenotypic assays by using bioinformatic, genetic, and biochemical approaches. However, recent evidences indicate that the effective levels of miRNAs are determined by transcription, processing, miRISC (microRNA-induced silencing complex) loading, action, turnover use, and decay. Each process is affected by certain factors, such as genomic modifications, RNA editing, miRISC loading competition, target abundance and complementarity, and spatio-temporal effects, thus conferring a highly dynamic feature to the miRNA activities. To maintain the steady-state levels of the functional miRNAs, thus ensuring normal physiological and biochemical status, plants employ several exquisite strategies, such as feedback regulation and buffering system, to minimize the influence of external signal fluctuations. In this review, we raised the notion that a more dynamic picture of miRNA activities should be drawn to construct comprehensive miRNA-mediated networks in plants.

Epigenetic performers in plants.

Epigenetic research is at the forefront of plant biology and molecular genetics. Studies on higher plants underscore the significant role played by epigenetics in both plant development and stress response. Relatively recent advances in analytical methodology have allowed for a significant expansion of what is known about genome‐wide mapping of DNA methylation and histone modifications. In this review, we explore the different modification patterns in plant epigenetics, and the key factors involved in the epigenetic process, in order to illustrate various putative mechanisms. Experimental technology to exploit these modifications, and proposed focus areas for future plant epigenetic research, are also presented.

PlantNATsDB: a comprehensive database of plant natural antisense transcripts

Natural antisense transcripts (NATs), as one type of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and pathological processes. Although their important biological functions have been reported widely, a comprehensive database is lacking up to now. Consequently, we constructed a plant NAT database (PlantNATsDB) involving approximately 2 million NAT pairs in 69 plant species. GO annotation and high-throughput small RNA sequencing data currently available were integrated to investigate the biological function of NATs. PlantNATsDB provides various user-friendly web interfaces to facilitate the presentation of NATs and an integrated, graphical network browser to display the complex networks formed by different NATs. Moreover, a ‘Gene Set Analysis’ module based on GO annotation was designed to dig out the statistical significantly overrepresented GO categories from the specific NAT network. PlantNATsDB is currently the most comprehensive resource of NATs in the plant kingdom, which can serve as a reference database to investigate the regulatory function of NATs. The PlantNATsDB is freely available at http://bis.zju.edu.cn/pnatdb/.

Large-Scale Identification of Mirtrons in Arabidopsis and Rice

A new catalog of microRNA (miRNA) species called mirtrons has been discovered in animals recently, which originate from spliced introns of the gene transcripts. However, only one putative mirtron, osa-MIR1429, has been identified in rice (Oryza sativa). We employed a high-throughput sequencing (HTS) data- and structure-based approach to do a genome-wide search for the mirtron candidate in both Arabidopsis (Arabidopsis thaliana) and rice. Five and eighteen candidates were discovered in the two plants respectively. To investigate their biological roles, the targets of these mirtrons were predicted and validated based on degradome sequencing data. The result indicates that the mirtrons could guide target cleavages to exert their regulatory roles post-transcriptionally, which needs further experimental validation.

Toward microRNA-mediated gene regulatory networks in plants

Current achievements in plant microRNA (miRNA) research area are inspiring. Molecular cloning and functional elucidation have greatly advanced our understanding of this small RNA species. As one of the ultimate goals, many research efforts devoted to draw a comprehensive view of miRNA-mediated gene regulatory networks in plants. Numerous bioinformatics tools competent for network analysis have been available. However, the most important point for network construction is to obtain reliable analytical results based on sufficient experimental data. Here, we introduced a general workflow to retrieve and analyze the desired data sets that serve as the cornerstones for network construction. For the upstream analyses of miRNA genes, the sequence feature of miRNA promoters should be characterized. And, regulatory relationships between transcription factors (TFs) and miRNA genes need to be investigated. For the downstream part, we emphasized that the high-throughput degradome sequencing data were especially useful for genuine miRNA-target pair identification. Functional characterization of the miRNA targets is essential to provide deep biological insights into certain miRNA-mediated pathways. For miRNAs themselves, studies on their organ- or tissue-specific expression patterns and the mechanism of self-regulation were discussed. Besides, exhaustive literature mining is required to further support or improve the established networks. It is desired that the introduced framework for miRNA-mediated network construction is timely and useful and could inspire more research efforts in the miRNA research area.

PmiRKB: a plant microRNA knowledge base

MicroRNAs (miRNAs), one type of small RNAs (sRNAs) in plants, play an essential role in gene regulation. Several miRNA databases were established; however, successively generated new datasets need to be collected, organized and analyzed. To this end, we have constructed a plant miRNA knowledge base (PmiRKB) that provides four major functional modules. In the ‘SNP’ module, single nucleotide polymorphism (SNP) data of seven Arabidopsis (Arabidopsis thaliana) accessions and 21 rice (Oryza sativa) subspecies were collected to inspect the SNPs within pre-miRNAs (precursor microRNAs) and miRNA—target RNA duplexes. Depending on their locations, SNPs can affect the secondary structures of pre-miRNAs, or interactions between miRNAs and their targets. A second module, ‘Pri-miR’, can be used to investigate the tissue-specific, transcriptional contexts of pre- and pri-miRNAs (primary microRNAs), based on massively parallel signature sequencing data. The third module, ‘MiR–Tar’, was designed to validate thousands of miRNA—target pairs by using parallel analysis of RNA end (PARE) data. Correspondingly, the fourth module, ‘Self-reg’, also used PARE data to investigate the metabolism of miRNA precursors, including precursor processing and miRNA- or miRNA*-mediated self-regulation effects on their host precursors. PmiRKB can be freely accessed at http://bis.zju.edu.cn/pmirkb/.

Construction of microRNA- and microRNA*-mediated regulatory networks in plants.

The critical biological roles of microRNAs (miRNAs) have been well recognized. However, knowledge on the regulatory activities of miRNA*s is limited. Although several studies point to the capacity of this small RNA species to repress target genes in animals, few related analyses were performed in plants. Here, we set out to uncover the repressive effects of miRNA*s on their targets in both Arabidopsis and rice. Systemic identification of miRNA*s was performed through secondary structure-based prediction and expression level-based verification. The targets of the miRNA*s were predicted and further filtered based on degradome sequencing data, resulting in comprehensive miRNA*—target lists with high reliability. Comprehensive miRNA—target lists were also obtained. The phenomenon that one transcript was targeted by two or more miRNA(*)s was observed, which was defined as co-regulation. Finally, comprehensive miRNA- and miRNA*-mediated regulatory networks were constructed. Further investigation of some specific subnetworks implied the utility of these networks for biologists. This study could broaden the current understanding of miRNA-mediated regulation in plants.