miRNA expression during prickly pear cactus fruit development

miR390-tasiRNA3-ARF4 pathway is involved in regulating flowering time in woodland strawberry

miR390-tasiRNA3-ARF4 pathway was identified in woodland strawberry. FvemiR390 was involved in the regulation of flowering time, and miR390-tasiRNA3-ARF4 regulated flowering time through FveAP1/FveFUL in woodland strawberry. miRNA is an important type of regulator, and widely involved in plant growth, development and stress response. As a conserved miRNA family, the function of miR390 has been studied in many species, but poorly understood in woodland strawberry. In this study, we found that the members of miR390 family were highly conservative, and FvemiR390a and FvemiR390b have the same mature sequence. Therefore, we chose FveMIR390a to generate FvemiR390 mature sequence for functional studies. Subsequently, the result of transient gene expression assay proved that FvemiR390 negatively regulates FveARF4 through miR390-tasiRNA3-ARF4 pathway. Using transgenic plants, we discovered that the overexpression of FveMIR390a delayed flowering in woodland strawberry. Further studies revealed that the expressions of FveAP1 and FveFUL were lower in transgenic plants, which indicates miR390-tasiRNA3-ARF4 pathway delays flowering time through the FveAP1/FveFUL in woodland strawberry. Moreover, the expression of FvemiR390 responded to exogenous hormones, which also provides a reference for the application of exogenous hormones in regulating the flowering time of woodland strawberry.

Plant RNA-mediated gene regulatory network

Not all transcribed RNAs are protein-coding RNAs. Many of them are non-protein-coding RNAs in diverse eukaryotes. However, some of them seem to be non-functional and are resulted from spurious transcription. A lot of non-protein-coding transcripts have a significant function in the translation process. Gene expressions depend on complex networks of diverse gene regulatory pathways. Several non-protein-coding RNAs regulate gene expression in a sequence-specific system either at the transcriptional level or post-transcriptional level. They include a significant part of the gene expression regulatory network. RNA-mediated gene regulation machinery is evolutionarily ancient. They well-evolved during the evolutionary time and are becoming much more complex than had been expected. In this review, we are trying to summarizing the current knowledge in the field of RNA-mediated gene silencing.

The Critical Role of miRNAs in Regulation of Flowering Time and Flower Development

Flowering is an important biological process for plants that ensures reproductive success. The onset of flowering needs to be coordinated with an appropriate time of year, which requires tight control of gene expression acting in concert to form a regulatory network. MicroRNAs (miRNAs) are non-coding RNAs known as master modulators of gene expression at the post-transcriptional level. Many different miRNA families are involved in flowering-related processes such as the induction of floral competence, floral patterning, and the development of floral organs. This review highlights the diverse roles of miRNAs in controlling the flowering process and flower development, in combination with potential biotechnological applications for miRNAs implicated in flower regulation.

Solanum lycopersicum microRNA1916 targets multiple target genes and negatively regulates the immune response in tomato

MicroRNA1916 (miR1916) is one of the nonconserved miRNAs that respond to various stresses in plants, but little has been known at present about its mechanisms in biotic stresses. In this study, the expression of Solanum lycopersicum (sly)-miR1916 in tomato was found to be down-regulated after infection with Phytophthora infestans or Botrytis cinerea. Tomato plants that overexpressed sly-miR1916 displayed significant enhancement in susceptibility to P. infestans and B. cinerea infection, as well as increased tendency to produce reactive oxygen species. Silencing of sly-miR1916 by short tandem target mimic and artificial microRNA strategies caused the tomato plants to become more tolerant to adverse conditions. In addition, lower sly-miR1916 expression could up-regulate the expression of strictosidine synthase (STR-2), UDP-glycosyltransferases (UGTs), late blight resistance protein homolog R1B-16, disease resistance protein RPP13-like, and MYB transcription factor (MYB12), which ultimately resulted in the accumulation of α-tomatine and anthocyanins via STR-2, UGT, and MYB12. Furthermore, ectopic expression of sly-miR1916/STR-2 significantly changed the tolerance of tobacco to B. cinerea. Taken together, the results demonstrated that sly-miR1916 might regulate the expression of STR-2, UGT, and MYB12 in tomato plant, conferring sensitivity to biotic stress via modulating α-tomatine and anthocyanins.

miR1916 plays a role as a negative regulator in drought stress resistance in tomato and tobacco

MicroRNAs (miRNAs) play important roles in regulating plant responses to various environmental stresses. In our study, overexpression of miR1916 in tomato (OE-1) reduced its tolerance to drought. The miR1916-silenced transgenic plants (ST-1 and Anti-7) significantly increased resistance to drought stress. The transgenic tobacco plants also have a similar result in displaying the tolerance of drought. Physiological analysis revealed that miR1916 affected the osmoregulation and reactive oxygen species (ROS) accumulation. In addition, transcript levels of the miR1916 target genes, histone deacetylases (HDAC) and strictosidine synthase (STR), decreased in miR1916-overexpressing transgenic tobacco plants. Our results suggested that miR1916 is a passive regulator in the plant resistance to drought stress and has potentially impacting on abiotic stress responses in Solanaceae.

Detection of miRNAs by Tissue Printing and Dot Blot Hybridization

Tissue printing and dot blot are simple techniques to detect miRNA expression and localization, allowing a better understanding of the function of a miRNA. In this work, we describe a tissue printing and a dot blot hybridization protocol for miRNA detection and localization in plant tissues, which opens the possibility of analyzing spatiotemporal expression patterns of miRNAs.

New insights into tomato microRNAs

Cultivated tomato, Solanum lycopersicum, is one of the most common fruits in the global food industry. Together with the wild tomato Solanum pennellii, it is widely used for developing better cultivars. MicroRNAs affect mRNA regulation, inhibiting its translation and/or promoting its degradation. Important proteins involved in these processes are ARGONAUTE and DICER. This study aimed to identify and characterize the genes involved in the miRNA processing pathway, miRNA molecules and target genes in both species. We validated the presence of pathway genes and miRNA in different NGS libraries and 6 miRNA families using quantitative RT-PCR. We identified 71 putative proteins in S. lycopersicum and 108 in S. pennellii likely involved in small RNAs processing. Of these, 29 and 32 participate in miRNA processing pathways, respectively. We identified 343 mature miRNAs, 226 pre-miRNAs in 87 families, including 192 miRNAs, which were not previously identified, belonging to 38 new families in S. lycopersicum. In S. pennellii, we found 388 mature miRNAs and 234 pre-miRNAs contained in 85 families. All miRNAs found in S. pennellii were unpublished, being identified for the first time in our study. Furthermore, we identified 2471 and 3462 different miRNA target in S. lycopersicum and S. pennellii, respectively.

Genome-wide identification and in silico characterisation of microRNAs, their targets and processing pathway genes in Phaseolus vulgaris L

Common bean (Phaseolus vulgaris L., Fabaceae) is a globally important staple crop, which is an important source of calories, protein and essential micronutrients. At the genomic level little is known regarding the small non-coding RNAs within the common bean genome. One of the most important classes of such small non-coding RNAs is microRNAs (miRNAs), which control mRNA and protein expression levels in many eukaryotes. Computational methods have been applied to identify putative miRNAs in the genomes of different organisms. In this study, our objective was to comprehensively identify and characterise miRNAs from the genome and transcriptome of P. vulgaris, including both mature and precursor miRNA forms. We also sought to identify the putative proteins involved in miRNA processing and the likely target genes of common bean miRNAs. We identified 221 mature miRNAs and 136 precursor miRNAs distributed across 52 different miRNA families in the P. vulgaris genome. Amongst these, we distinguished 129 novel mature miRNAs and 123 miRNA precursors belonging to 24 different miRNA families. We also identified 31 proteins predicted to participate in the miRNA-processing pathway in P. vulgaris. Finally, we also identified 483 predicted miRNA targets, including many which corroborate results from other species, suggesting that miRNA regulatory systems are evolutionarily conserved and important for plant development. Our results expand the study of miRNAs and their target genes in common bean, and provide new opportunities to understand their roles in the biology of this important staple crop.

Identification of MicroRNAs and Their Targets Associated with Fruit-Bagging and Subsequent Sunlight Re-exposure in the "Granny Smith" Apple Exocarp Using High-Throughput Sequencing

Bagged fruits of green apple cultivar "Granny Smith" have been found to turn cardinal red after debagging during fruit-ripening in the Loess Plateau region of China. To understand this phenomenon at post-transcriptional level, we have investigated the roles of microRNAs (miRNAs) in response to debagging. Three small RNA libraries were primarily constructed from peels of "Granny Smith" apples subjected to bagging followed by sunlight re-exposure treatments (0, 6 h, 1 day) (debagging), and from peels of apples without any bagging treatments (0, 6 h, 1 day). 201 known miRNAs belonging to 43 miRNA families and 220 novel miRNAs were identified via high-throughput sequencing. Some miRNAs were found to be differentially expressed after debagging, which indicated that miRNAs affected anthocyanin accumulation through their target genes in mature apple. To further explore the effect of debagging on miRNAs regulating the expression of anthocyanin regulatory genes, four miRNAs and their target genes regulating anthocyanin accumulation, miR156, miR828, miR858, and miR5072, were compared between green cultivar "Granny Smith" and red cultivar "Starkrimson." Results showed that mdm-miR828 and mdm-miR858 regulated anthocyanin contents in both apple cultivars, while mdm-miR156 only affected anthocyanin accumulation in "Granny Smith," and miR5072 affected anthocyanin accumulation in "Starkrimson." Additional analysis of gene ontology for the differentially expressed miRNAs after debagging treatments and their predicted target genes showed that they were involved in photo-protective response after debagging from 0 h to 1 day; they might play important roles in fruit development and adaptation to high light stress.

An efficient method for miRNA detection and localization in crop plants

microRNAs are a class of non-coding small RNAs (sRNAs) that are important regulators of gene expression at the post-transcriptional level by mRNA cleavage or translation inhibition. Another class of sRNAs are siRNAs, which also regulate gene expression but by causing DNA methylation. This epigenetic regulatory role has been observed for some miRNAs as well. The use of sRNAs allows the development of biotechnological applications in plants. To develop these types of applications, and to better understand the natural roles they play, it is important to be able to detect and to localize these sRNAs at the plant tissue level. Sometimes, in crop plants this can be challenging. Therefore, we developed a tissue printing hybridization protocol for easy and efficient detection of sRNAs and demonstrate this by the analysis of the spatio-temporal expression patterns of the miRNAs miR159 and miR164 in fruits of various crop plants. Moreover, we show the possibility to also detect the expression of miRNAs in fruit juice using a dot blot hybridization approach.