Identification and characterization of conserved microRNAs and their target genes in wheat (Triticum aestivum)

Redundant and specific roles of individual MIR172 genes in plant development

Evolutionarily conserved microRNAs (miRNAs) usually have high copy numbers in the genome. The redundant and specific roles of each member of a multimember miRNA gene family are poorly understood. Previous studies have shown that the miR156-SPL-miR172 axis constitutes a signaling cascade in regulating plant developmental transitions. Here, we report the feasibility and utility of CRISPR-Cas9 technology to investigate the functions of all 5 MIR172 family members in Arabidopsis. We show that an Arabidopsis plant devoid of miR172 is viable, although it displays pleiotropic morphological defects. MIR172 family members exhibit distinct expression pattern and exert functional specificity in regulating meristem size, trichome initiation, stem elongation, shoot branching, and floral competence. In particular, we find that the miR156-SPL-miR172 cascade is bifurcated into specific flowering responses by matching pairs of coexpressed SPL and MIR172 genes in different tissues. Our results thus highlight the spatiotemporal changes in gene expression that underlie evolutionary novelties of a miRNA gene family in nature. The expansion of MIR172 genes in the Arabidopsis genome provides molecular substrates for the integration of diverse floral inductive cues, which ensures that plants flower at the optimal time to maximize seed yields.

This study uses CRISPR-Cas9 technology to investigate the functions of all five miR172 genes in Arabidopsis, finding that miRNA172 family members exhibit distinct expression pattern and exert functional specificity in regulating meristem size, trichome initiation, stem elongation, shoot branching and floral competence.

A Comparative Whole Genome Sequence Analysis Leads to Identification of Repeat-Associated Evolutionarily Conserved miRNAs in Bombyx mori (Lepidoptera: Bombycidae)

MicroRNAs (miRNAs) are evolutionarily conserved small noncoding RNAs, which play important regulatory roles in various biological processes. In this study, we have developed a computational approach for detecting conserved miRNAs based on comparison of whole genome sequences of closely related species by considering various key features of experimentally validated miRNAs. By applying this approach, we have identified 34 new miRNAs from Bombyx mori (L.), which are also conserved in Drosophila melanogaster (Diptera: Drosophilidae) and Anopheles gambiae (Diptera: Culicidae). Most of these miRNAs were associated with repeat region of the genome. We did an expression analysis of the 34 newly predicted miRNAs and found that 30 of these miRNAs are expressing in different tissues of B. mori. Besides, we have also predicted the putative targets of these miRNAs in B. mori based on several known characteristic features of miRNA::mRNA duplexes and found that these targets include diverse range of functions, suggesting multiple layers of gene regulation of various important biological processes.

Comparative transcriptome analysis shows the defense response networks regulated by miR482b

The transcriptomic profile in the leaves of miR482b-overexpressing tomato plants revealed that miR482b may suppress alpha-linolenic acid metabolism, cysteine and methionine metabolism, plant-pathogen interaction, and the MAPK pathway to reduce resistance to Phytophthora infestans. Our previous study showed that tomato miR482b acted as a negative regulator during tomato resistance to Phytophthora infestans by silencing NBS-LRR genes. To investigate pathways related to miR482b, the transcriptomic profile of tomato plants that overexpressed miR482b was constructed. A total of 47,124,670 raw sequence reads from the leaves of miR482b-overexpressing tomato plants were generated by Illumina sequencing. A total of 746 genes in miR482b-overexpressing tomato plants were found to show significantly differential expression relative to those in wild-type tomato plants, including 132 up-regulated genes and 614 down-regulated genes. GO and KEGG enrichment analyses showed that plant-pathogen interaction, the MAPK pathway, and the pathways related to JA and ET biosynthesis were affected by miR482b in tomato. qRT-PCR results showed that all the enriched genes in these pathways were down-regulated in tomato plants that overexpressed miR482b and up-regulated in tomato plants that overexpressed an NBS-LRR gene (Soly02g036270.2, the target gene of miR482b). After P. infestans infection, the expression of the enriched genes showed a time-dependent response, and the genes played different roles between resistant tomato (Solanum pimpinellifolium L3708) and tomato susceptible to P. infestans (S. lycopersicum Zaofen No. 2). Our results have, therefore, demonstrated that miR482b is an important component of defense response network. This will also help to identify candidate genes involved in plant-pathogen interaction.

In Silico Identification of Conserved MiRNAs from Physcomitrella patens ESTs and their Target Characterization

Background:

MicroRNAs (miRNAs) are groups of small non-protein-coding endogenous single stranded RNAs with approximately 18-24 nucleotides in length. High evolutionary sequence conservation of miRNAs among plant species and availability of powerful computational tools allow identification of new orthologs and paralogs.

Methods:

New conserved miRNAs in P. patens were found by EST-based homology search approaches. All candidates were screened according to a series of miRNA filtering criteria. Unigene, DFCI Gene Index (PpspGI) databases and psRNATarget algorithm were applied to identify target transcripts using P. patens putative conserved miRNA sequences.

Results:

Nineteen conserved P. patens miRNAs were identified. The sequences were homologous to known reference plant mature miRNA from 10 miRNA families. They could be folded into the typical miRNA secondary structures. RepeatMasker algorithm demonstrated that ppt-miR2919e and pptmiR1533 had simple sequence repeats in their sequences. Target sites (49 genes) were identified for 7 out of 19 miRNAs. GO and KEGG analysis of targets indicated the involvement of some in important multiple biological and metabolic processes.

Conclusion:

The majority of the registered miRNAs in databases were predicted by computational approaches while many more have remained unknown. Due to the conserved nature of miRNAs in plant species from closely to distantly related, homology search-based approaches between plants species could lead to the identification of novel miRNAs in other plant species providing baseline information for further search about the biological functions and evolution of miRNAs.

Genome-wide identification of conserved and novel microRNAs in one bud and two tender leaves of tea plant (Camellia sinensis) by small RNA sequencing, microarray-based hybridization and genome survey scaffold sequences

BACKGROUND

MicroRNAs (miRNAs) are important for plant growth and responses to environmental stresses via post-transcriptional regulation of gene expression. Tea, which is primarily produced from one bud and two tender leaves of the tea plant (Camellia sinensis), is one of the most popular non-alcoholic beverages worldwide owing to its abundance of secondary metabolites. A large number of miRNAs have been identified in various plants, including non-model species. However, due to the lack of reference genome sequences and/or information of tea plant genome survey scaffold sequences, discovery of miRNAs has been limited in C. sinensis.

RESULTS

Using small RNA sequencing, combined with our recently obtained genome survey data, we have identified and analyzed 175 conserved and 83 novel miRNAs mainly in one bud and two tender leaves of the tea plant. Among these, 93 conserved and 18 novel miRNAs were validated using miRNA microarray hybridization. In addition, the expression pattern of 11 conserved and 8 novel miRNAs were validated by stem-loop-qRT-PCR. A total of 716 potential target genes of identified miRNAs were predicted. Further, Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that most of the target genes were primarily involved in stress response and enzymes related to phenylpropanoid biosynthesis. The predicted targets of 4 conserved miRNAs were further validated by 5'RLM-RACE. A negative correlation between expression profiles of 3 out of 4 conserved miRNAs (csn-miR160a-5p, csn-miR164a, csn-miR828 and csn-miR858a) and their targets (ARF17, NAC100, WER and MYB12 transcription factor) were observed.

CONCLUSION

In summary, the present study is one of few such studies on miRNA detection and identification in the tea plant. The predicted target genes of majority of miRNAs encoded enzymes, transcription factors, and functional proteins. The miRNA-target transcription factor gene interactions may provide important clues about the regulatory mechanism of these miRNAs in the tea plant. The data reported in this study will make a huge contribution to knowledge on the potential miRNA regulators of the secondary metabolism pathway and other important biological processes in C. sinensis.

Mining, identification and function analysis of microRNAs and target genes in peanut (Arachis hypogaea L.)

In the present investigation, a total of 60 conserved peanut (Arachis hypogaea L.) microRNA (miRNA) sequences, belonging to 16 families, were identified using bioinformatics methods. There were 392 target gene sequences, identified from 58 miRNAs with Target-align software and BLASTx analyses. Gene Ontology (GO) functional analysis suggested that these target genes were involved in mediating peanut growth and development, signal transduction and stress resistance. There were 55 miRNA sequences, verified employing a poly (A) tailing test, with a success rate of up to 91.67%. Twenty peanut target gene sequences were randomly selected, and the 5' rapid amplification of the cDNA ends (5'-RACE) method were used to validate the cleavage sites of these target genes. Of these, 14 (70%) peanut miRNA targets were verified by means of gel electrophoresis, cloning and sequencing. Furthermore, functional analysis and homologous sequence retrieval were conducted for target gene sequences, and 26 target genes were chosen as the objects for stress resistance experimental study. Real-time fluorescence quantitative PCR (qRT-PCR) technology was applied to measure the expression level of resistance-associated miRNAs and their target genes in peanut exposed to Aspergillus flavus (A. flavus) infection and drought stress, respectively. In consequence, 5 groups of miRNAs & targets were found accorded with the mode of miRNA negatively controlling the expression of target genes. This study, preliminarily determined the biological functions of some resistance-associated miRNAs and their target genes in peanut.

Characterization of Small RNAs Derived from tRNAs, rRNAs and snoRNAs and Their Response to Heat Stress in Wheat Seedlings

Small RNAs (sRNAs) derived from non-coding RNAs (ncRNAs), such as tRNAs, rRNAs and snoRNAs, have been identified in various organisms. Several observations have indicated that cleavage of tRNAs and rRNAs is induced by various stresses. To clarify whether sRNAs in wheat derived from tRNAs (stRNAs), rRNAs (srRNAs) and snoRNAs (sdRNAs) are produced specifically in association with heat stress responses, we carried out a bioinformatic analysis of sRNA libraries from wheat seedlings and performed comparisons between control and high-temperature-treated samples to measure the differential abundance of stRNAs, srRNAs and sdRNAs. We found that the production of sRNAs from tRNAs, 5.8S rRNAs, and 28S rRNAs was more specific than that from 5S rRNAs and 18S rRNAs, and more than 95% of the stRNAs were processed asymmetrically from the 3’ or 5’ ends of mature tRNAs. We identified 333 stRNAs and 8,822 srRNAs that were responsive to heat stress. Moreover, the expression of stRNAs derived from tRNA-Val-CAC, tRNA-Thr-UGU, tRNA-Tyr-GUA and tRNA-Ser-UGA was not only up-regulated under heat stress but also induced by osmotic stress, suggesting that the increased cleavage of tRNAs might be a mechanism that developed in wheat seedlings to help them cope with adverse environmental conditions.

Identification of Novel and Conserved miRNAs in Leaves of In vitro Grown Citrus reticulata "Lugan" Plantlets by Solexa Sequencing

MicroRNAs (miRNAs) play essential roles in plant development, but the roles in the in vitro plant development are unknown. Leaves of ponkan plantlets derived from mature embryos at in vitro culture conditions were used to sequence small RNA fraction via Solexa sequencing, and the miRNAs expression was analyzed. The results showed that there were 3,065,625 unique sequences in ponkan, of which 0.79% were miRNAs. The RNA sequences with lengths of 18-25 nt derived from the library were analyzed, leading to the identification of 224 known miRNAs, of which the most abundant were miR157, miR156, and miR166. Three hundred and fifty-eight novel miRNA candidates were also identified, and the number of reads of ponkan novel miRNAs varied from 5 to 168,273. The expression of the most known miRNAs obtained was at low levels, which varied from 5 to 4,946,356. To better understand the role of miRNAs during the preservation of ponkan in vitro plantlet, the expression patterns of cre-miR156a/159b/160a/166a/167a/168a/171/398b were validated by quantitative real-time PCR (qPCR). The results showed that not only the development-associated miRNAs, e.g., cre-miR156/159/166/396, expressed highly at the early preservation period in the in vitro ponkan plantlet leaves but also the stress-related miRNAs, e.g., cre-miR171 and cre-miR398b, expressed highly at the same time. The expression levels of most tested miRNAs were found to decrease after 6 months and the amounts of these miRNAs were kept at low levels at 18 months. After analyzing the expression level of their targets during the reservation of the ponkan in vitro plantlet, development-associated cre-ARF6 and stress-related cre-CSD modules exhibited negative correlation with miR167 and miR398, respectively, indicating an involvement of the miRNAs in the in vitro development of ponkan and function in the conservation of ponkan germplasm.

Dissecting miRNAs in Wheat D Genome Progenitor, Aegilops tauschii

As the post-transcriptional regulators of gene expression, microRNAs or miRNAs comprise an integral part of understanding how genomes function. Although miRNAs have been a major focus of recent efforts, miRNA research is still in its infancy in most plant species. Aegilops tauschii, the D genome progenitor of bread wheat, is a wild diploid grass exhibiting remarkable population diversity. Due to the direct ancestry and the diverse gene pool, A. tauschii is a promising source for bread wheat improvement. In this study, a total of 87 Aegilops miRNA families, including 51 previously unknown, were computationally identified both at the subgenomic level, using flow-sorted A. tauschii 5D chromosome, and at the whole genome level. Predictions at the genomic and subgenomic levels suggested A. tauschii 5D chromosome as rich in pre-miRNAs that are highly associated with Class II DNA transposons. In order to gain insights into miRNA evolution, putative 5D chromosome miRNAs were compared to its modern ortholog, Triticum aestivum 5D chromosome, revealing that 48 of the 58 A. tauschii 5D miRNAs were conserved in orthologous T. aestivum 5D chromosome. The expression profiles of selected miRNAs (miR167, miR5205, miR5175, miR5523) provided the first experimental evidence for miR5175, miR5205 and miR5523, and revealed differential expressional changes in response to drought in different genetic backgrounds for miR167 and miR5175. Interestingly, while miR5523 coding regions were present and expressed as pre-miR5523 in both T. aestivum and A. tauschii, the expression of mature miR5523 was observed only in A. tauschii under normal conditions, pointing out to an interference at the downstream processing of pre-miR5523 in T. aestivum. Overall, this study expands our knowledge on the miRNA catalog of A. tauschii, locating a subset specifically to the 5D chromosome, with ample functional and comparative insight which should contribute to and complement efforts to develop drought tolerant wheat varieties.

Computational analysis of miRNA-target community network reveals cross talk among different metabolisms

To date, only a few conserved miRNAs have been predicted in hexaploid (AABBDD) bread wheat and till now community behavior among miRNA is still in dark. Analysis of publically available 1287279 ESTs from NCBI resulted 262 putative pre-miRNAs and 39 novel mature miRNAs. A total 22,468 targets were identified on 21 chromosomes. MiRNA target community was identified for genomes with different levels of cross talks. Gene ontology of these community targets suggests their differential involvement in different metabolisms along with common and stringent involvement in nitrogen metabolism.

miRNAs and lncRNAs in reproductive development

Non-coding RNAs (ncRNAs) regulate gene expression at the transcriptional and post-transcriptional levels. Many ncRNAs have been identified in the past decade, including small ncRNAs, such as microRNAs (miRNAs), and long ncRNAs (lncRNAs). These novel molecules have important roles in a wide range of biological processes such as the regulation of reproduction and sex determination. Due to their ability to regulate specific genes or entire gene families, these molecules have the potential for uses in the development of breeding strategies as well as in the genetic modification of agronomic traits. In this review, we summarize recent progress on the understanding of plant miRNAs and lncRNAs in male and female development. We also discuss future challenges of using these molecules in agricultural applications, including transgenic plants in hybrid breeding, for novel genetic trait selection, for rapid character screening, and genetic modification for crop improvement.

Harnessing NGS and Big Data Optimally: Comparison of miRNA Prediction from Assembled versus Non-assembled Sequencing Data--The Case of the Grass Aegilops tauschii Complex Genome

MicroRNAs (miRNAs) are small, endogenous, non-coding RNA molecules that regulate gene expression at the post-transcriptional level. As high-throughput next generation sequencing (NGS) and Big Data rapidly accumulate for various species, efforts for in silico identification of miRNAs intensify. Surprisingly, the effect of the input genomics sequence on the robustness of miRNA prediction was not evaluated in detail to date. In the present study, we performed a homology-based miRNA and isomiRNA prediction of the 5D chromosome of bread wheat progenitor, Aegilops tauschii, using two distinct sequence data sets as input: (1) raw sequence reads obtained from 454-GS FLX Titanium sequencing platform and (2) an assembly constructed from these reads. We also compared this method with a number of available plant sequence datasets. We report here the identification of 62 and 22 miRNAs from raw reads and the assembly, respectively, of which 16 were predicted with high confidence from both datasets. While raw reads promoted sensitivity with the high number of miRNAs predicted, 55% (12 out of 22) of the assembly-based predictions were supported by previous observations, bringing specificity forward compared to the read-based predictions, of which only 37% were supported. Importantly, raw reads could identify several repeat-related miRNAs that could not be detected with the assembly. However, raw reads could not capture 6 miRNAs, for which the stem-loops could only be covered by the relatively longer sequences from the assembly. In summary, the comparison of miRNA datasets obtained by these two strategies revealed that utilization of raw reads, as well as assemblies for in silico prediction, have distinct advantages and disadvantages. Consideration of these important nuances can benefit future miRNA identification efforts in the current age of NGS and Big Data driven life sciences innovation.

Identification and characterization of microRNAs at different flowering developmental stages in moso bamboo (Phyllostachys edulis) by high-throughput sequencing

Researching moso bamboo flowering has been difficult because of its unknown flowering interval and the rarity of florescent samples. To identify microRNAs (miRNAs) and study their expression patterns during the flower developmental process of moso bamboo, small RNAs from non-flowering leaves and four flower developmental periods were sequenced using Illumina technology. In total, 409 known miRNAs and 492 differentially expressed novel miRNAs were identified in moso bamboo. Of the known miRNAs that were differentially expressed between non-flowering and flowering samples, 64 were predicted to have a total of 308 targets. Among the miRNAs, seven known and five novel miRNAs were selected, as were four of their target genes, and their expression profiles were validated using qRT-PCR. The results indicated that the miRNA expression levels were negatively correlated with those of their targets. The research comprehensively revealed that the differentially expressed miRNAs and their targets participated in diverse biological pathways and played significant regulatory roles in moso bamboo flowering. The data provide a significant resource for understanding the molecular mechanisms in moso bamboo flowering and senescence, and serve as the primary foundation for further studies on metabolic regulatory networks that involve miRNAs.

An integrative approach to identify hexaploid wheat miRNAome associated with development and tolerance to abiotic stress

Background

Wheat is a major staple crop with broad adaptability to a wide range of environmental conditions. This adaptability involves several stress and developmentally responsive genes, in which microRNAs (miRNAs) have emerged as important regulatory factors. However, the currently used approaches to identify miRNAs in this polyploid complex system focus on conserved and highly expressed miRNAs avoiding regularly those that are often lineage-specific, condition-specific, or appeared recently in evolution. In addition, many environmental and biological factors affecting miRNA expression were not yet considered, resulting still in an incomplete repertoire of wheat miRNAs.

Results

We developed a conservation-independent technique based on an integrative approach that combines machine learning, bioinformatic tools, biological insights of known miRNA expression profiles and universal criteria of plant miRNAs to identify miRNAs with more confidence. The developed pipeline can potentially identify novel wheat miRNAs that share features common to several species or that are species specific or clade specific. It allowed the discovery of 199 miRNA candidates associated with different abiotic stresses and development stages. We also highlight from the raw data 267 miRNAs conserved with 43 miRBase families. The predicted miRNAs are highly associated with abiotic stress responses, tolerance and development. GO enrichment analysis showed that they may play biological and physiological roles associated with cold, salt and aluminum (Al) through auxin signaling pathways, regulation of gene expression, ubiquitination, transport, carbohydrates, gibberellins, lipid, glutathione and secondary metabolism, photosynthesis, as well as floral transition and flowering.

Conclusion

This approach provides a broad repertoire of hexaploid wheat miRNAs associated with abiotic stress responses, tolerance and development. These valuable resources of expressed wheat miRNAs will help in elucidating the regulatory mechanisms involved in freezing and Al responses and tolerance mechanisms as well as for development and flowering. In the long term, it may help in breeding stress tolerant plants.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-015-1490-8) contains supplementary material, which is available to authorized users.

MicroRNA-based biotechnology for plant improvement

MicroRNAs (miRNAs) are an extensive class of newly discovered endogenous small RNAs, which negatively regulate gene expression at the post-transcription levels. As the application of next-generation deep sequencing and advanced bioinformatics, the miRNA-related study has been expended to non-model plant species and the number of identified miRNAs has dramatically increased in the past years. miRNAs play a critical role in almost all biological and metabolic processes, and provide a unique strategy for plant improvement. Here, we first briefly review the discovery, history, and biogenesis of miRNAs, then focus more on the application of miRNAs on plant breeding and the future directions. Increased plant biomass through controlling plant development and phase change has been one achievement for miRNA-based biotechnology; plant tolerance to abiotic and biotic stress was also significantly enhanced by regulating the expression of an individual miRNA. Both endogenous and artificial miRNAs may serve as important tools for plant improvement.

Genome-wide discovery of novel and conserved microRNAs in white shrimp (Litopenaeus vannamei)

Of late years, a large amount of conserved and species-specific microRNAs (miRNAs) have been performed on identification from species which are economically important but lack a full genome sequence. In this study, Solexa deep sequencing and cross-species miRNA microarray were used to detect miRNAs in white shrimp. We identified 239 conserved miRNAs, 14 miRNA* sequences and 20 novel miRNAs by bioinformatics analysis from 7,561,406 high-quality reads representing 325,370 distinct sequences. The all 20 novel miRNAs were species-specific in white shrimp and not homologous in other species. Using the conserved miRNAs from the miRBase database as a query set to search for homologs from shrimp expressed sequence tags (ESTs), 32 conserved computationally predicted miRNAs were discovered in shrimp. In addition, using microarray analysis in the shrimp fed with Panax ginseng polysaccharide complex, 151 conserved miRNAs were identified, 18 of which were significant up-expression, while 49 miRNAs were significant down-expression. In particular, qRT-PCR analysis was also performed for nine miRNAs in three shrimp tissues such as muscle, gill and hepatopancreas. Results showed that these miRNAs expression are tissue specific. Combining results of the three methods, we detected 20 novel and 394 conserved miRNAs. Verification with quantitative reverse transcription (qRT-PCR) and Northern blot showed a high confidentiality of data. The study provides the first comprehensive specific miRNA profile of white shrimp, which includes useful information for future investigations into the function of miRNAs in regulation of shrimp development and immunology.

History and current status of wheat miRNAs using next-generation sequencing and their roles in development and stress

As small molecules that aid in posttranscriptional silencing, microRNA (miRNA) discovery and characterization have vastly benefited from the recent development and widespread application of next-generation sequencing (NGS) technologies. Several miRNAs were identified through sequencing of constructed small RNA libraries, whereas others were predicted by in silico methods using the recently accumulating sequence data. NGS was a major breakthrough in efforts to sequence and dissect the genomes of plants, including bread wheat and its progenitors, which have large, repetitive and complex genomes. Availability of survey sequences of wheat whole genome and its individual chromosomes enabled researchers to predict and assess wheat miRNAs both in the subgenomic and whole genome levels. Moreover, small RNA construction and sequencing-based studies identified several putative development- and stress-related wheat miRNAs, revealing their differential expression patterns in specific developmental stages and/or in response to stress conditions. With the vast amount of wheat miRNAs identified in recent years, we are approaching to an overall knowledge on the wheat miRNA repertoire. In the following years, more comprehensive research in relation to miRNA conservation or divergence across wheat and its close relatives or progenitors should be performed. Results may serve valuable in understanding both the significant roles of species-specific miRNAs and also provide us information in relation to the dynamics between miRNAs and evolution in wheat. Furthermore, putative development- or stress-related miRNAs identified should be subjected to further functional analysis, which may be valuable in efforts to develop wheat with better resistance and/or yield.

Bioinformatic identification and experimental validation of miRNAs from foxtail millet (Setaria italica)

MiRNAs are a novel group of non-coding small RNAs that negatively regulate gene expression. Many miRNAs have been identified and investigated extensively in plant species with sequenced genomes. However, few miRNAs have been identified in foxtail millet (Setaria italica), which is an ancient cereal crop of great importance for dry land agriculture. In this study, 271 foxtail millet miRNAs belonging to 44 families were identified using a bioinformatics approach. Twenty-three pairs of sense/antisense miRNAs belonging to 13 families, and 18 miRNA clusters containing members of 8 families were discovered in foxtail millet. We identified 432 potential targets for 38 miRNA families, most of which were predicted to be involved in plant development, signal transduction, metabolic pathways, disease resistance, and environmental stress responses. Gene ontology (GO) analysis revealed that 101, 56, and 23 target genes were involved in molecular functions, biological processes, and cellular components, respectively. We investigated the expression patterns of 43 selected miRNAs using qRT-PCR analysis. All of the miRNAs were expressed ubiquitously with many exhibiting different expression levels in different tissues. We validated five predicted targets of four miRNAs using the RNA ligase mediated rapid amplification of cDNA end (5'-RLM-RACE) method.

A comprehensive genome-wide study on tissue-specific and abiotic stress-specific miRNAs in Triticum aestivum

Productivity of wheat crop is largely dependent on its growth and development that, in turn, is mainly regulated by environmental conditions, including abiotic stress factors. miRNAs are key regulators of gene expression networks involved in diverse aspects of development and stress responses in plants. Using high-throughput sequencing of eight small RNA libraries prepared from diverse abiotic stresses and tissues, we identified 47 known miRNAs belonging to 20 families, 49 true novel and 1030 candidate novel miRNAs. Digital gene expression analysis revealed that 257 miRNAs exhibited tissue-specific expression and 74 were associated with abiotic stresses. Putative target genes were predicted for miRNAs identified in this study and their grouping into functional categories indicated that the putative targets were involved in diverse biological processes. RLM-RACE of predicted targets of three known miRNAs (miR156, miR160 and miR164) confirmed their mRNA cleavage, thus indicating their regulation at post-transcriptional level by the corresponding miRNAs. Mapping of the sequenced data onto the wheat progenitors and closely related monocots revealed a large number of evolutionary conserved miRNAs. Additional expression profiling of some of these miRNAs in other abiotic stresses underline their involvement in multiple stresses. Our findings provide valuable resource for an improved understanding of the role of miRNAs in stress tolerance as well as plant development.

New wheat microRNA using whole-genome sequence

MicroRNAs are post-transcriptional regulators of gene expression, taking roles in a variety of fundamental biological processes. Hence, their identification, annotation and characterization are of great significance, especially in bread wheat, one of the main food sources for humans. The recent availability of 5× coverage Triticum aestivum L. whole-genome sequence provided us with the opportunity to perform a systematic prediction of a complete catalogue of wheat microRNAs. Using an in silico homology-based approach, stem-loop coding regions were derived from two assemblies, constructed from wheat 454 reads. To avoid the presence of pseudo-microRNAs in the final data set, transposable element related stem-loops were eliminated by repeat analysis. Overall, 52 putative wheat microRNAs were predicted, including seven, which have not been previously published. Moreover, with distinct analysis of the two different assemblies, both variety and representation of putative microRNA-coding stem-loops were found to be predominant in the intergenic regions. By searching available expressed sequences and small RNA library databases, expression evidence for 39 (out of 52) putative wheat microRNAs was provided. Expression of three of the predicted microRNAs (miR166, miR396 and miR528) was also comparatively quantified with real-time quantitative reverse transcription PCR. This is the first report on in silico prediction of a whole repertoire of bread wheat microRNAs, supported by the wet-lab validation.

Identification and characterization of microRNAs in the leaf of ma bamboo (Dendrocalamus latiflorus) by deep sequencing

MicroRNAs (miRNAs), a class of non-coding small endogenous RNAs of approximately 22 nucleotides, regulate gene expression at the post-transcriptional levels by targeting mRNAs for degradation or by inhibiting protein translation. Thousands of miRNAs have been identified in many species. However, there is no information available concerning miRNAs in ma bamboo (Dendrocalamus latiflorus), one of the most important non-timber forest products, which has essential ecological roles in forests. To identify miRNAs in D. latiflorus, a small RNA library was constructed from leaf tissues. Using next generation high-throughput sequencing technology and bioinformatics analysis, we obtained 11,513,607 raw sequence reads and identified 84 conserved miRNAs (54 mature miRNAs and 30 star miRNAs) belonging to 17 families, and 81 novel miRNAs (76 mature miRNAs and five star miRNAs) in D. latiflorus. One hundred and sixty-two potential targets were identified for the 81 novel bamboo miRNAs. Several targets for the novel miRNAs are transcription factors that play important roles in plant development. Among the novel miRNAs, 30 were selected and their expression profiles in response to different light conditions were validated by qRT-PCR. This study provides the first large-scale cloning and characterization of miRNAs in D. latiflorus. Eighty-four conserved and 81 novel miRNAs were identified in D. latiflorus. Our results present a broad survey of bamboo miRNAs based on experimental and bioinformatics analysis. Although it will be necessary to validate the functions of miRNAs by further experimental research, these results represent a starting point for future research on D. latiflorus and related species.

Computational identification of microRNAs and their targets in cassava (Manihot esculenta Crantz.)

MicroRNAs (miRNAs) are a newly discovered class of noncoding endogenous small RNAs involved in plant growth and development as well as response to environmental stresses. miRNAs have been extensively studied in various plant species, however, only few information are available in cassava, which serves as one of the staple food crops, a biofuel crop, animal feed and industrial raw materials. In this study, the 169 potential cassava miRNAs belonging to 34 miRNA families were identified by computational approach. Interestingly, mes-miR319b was represented as the first putative mirtron demonstrated in cassava. A total of 15 miRNA clusters involving 7 miRNA families, and 12 pairs of sense and antisense strand cassava miRNAs belonging to six different miRNA families were discovered. Prediction of potential miRNA target genes revealed their functions involved in various important plant biological processes. The cis-regulatory elements relevant to drought stress and plant hormone response were identified in the promoter regions of those miRNA genes. The results provided a foundation for further investigation of the functional role of known transcription factors in the regulation of cassava miRNAs. The better understandings of the complexity of miRNA-mediated genes network in cassava would unravel cassava complex biology in storage root development and in coping with environmental stresses, thus providing more insights for future exploitation in cassava improvement.

Identification of miR414 and expression analysis of conserved miRNAs from Stevia rebaudiana

MicroRNAs (miRNAs) usually contain 19-24 nucleotides and have been identified as important eukaryotic gene regulators. Applications of various computational approaches have simplified the task by predicting miRNAs from available sequence data sources. In this study, we identified a conserved miR414 from a computational analysis of EST sequence data available from Stevia rebaudiana. In addition, we also identified six conserved miRNAs namely miR169, miR319, miR414, miR164, miR167 and miR398 using stem-loop RT-PCR analysis. Hence, miR414 was commonly identified using both methods. The expression analysis of these miRNAs documented their roles in growth and development of Stevia. Furthermore, the detected miRNAs were found to target genes involved in plant growth, development, metabolism and signal transduction. This is the first study reporting these conserved miRNAs and their expression in Stevia.

Identification and characterization of microRNAs from barley (Hordeum vulgare L.) by high-throughput sequencing

MicroRNAs (miRNAs) are a class of endogenous RNAs that regulates the gene expression involved in various biological and metabolic processes. Barley is one of the most important cereal crops worldwide and is a model organism for genetic and genomic studies in Triticeae species. However, the miRNA research in barley has lagged behind other model species in grass family. To obtain more information of miRNA genes in barley, we sequenced a small RNA library created from a pool of equal amounts of RNA from four different tissues using Solexa sequencing. In addition to 126 conserved miRNAs (58 families), 133 novel miRNAs belonging to 50 families were identified from this sequence data set. The miRNA* sequences of 15 novel miRNAs were also discovered, suggesting the additional evidence for existence of these miRNAs. qRT-PCR was used to examine the expression pattern of six randomly selected miRNAs. Some miRNAs involved in drought and salt stress response were also identified. Furthermore, the potential targets of these putative miRNAs were predicted using the psRNATarget tools. Our results significantly increased the number of novel miRNAs in barley, which should be useful for further investigation into the biological functions and evolution of miRNAs in barley and other species.

[The role of miR319 in plant development regulation]

MicroRNAs (miRNAs) are an extensive class of endogenous, non-coding, short (21~25 nt) RNA molecules, which regulate expression of target genes through miRNA-guided cleavage or translational repression of mRNAs. Plant miRNAs are involved in all aspects of regulation of plant growth and development. The miR319 was shown to regulate TCPs transcription factor controlling the fate of plant organ growth such as leaves and flowers and was involved in regulating part of hormone biosynthesis and signal transduction pathways. Thus, they play a key biochemical function in plant organs development. This review focused on the key roles of miR319 in regulation of the morphogenesis, development, and senescence of plant organs such as leaves and flowers.

Identification and characterization of microRNAs from peanut (Arachis hypogaea L.) by high-throughput sequencing

Background

MicroRNAs (miRNAs) are noncoding RNAs of approximately 21 nt that regulate gene expression in plants post-transcriptionally by endonucleolytic cleavage or translational inhibition. miRNAs play essential roles in numerous developmental and physiological processes and many of them are conserved across species. Extensive studies of miRNAs have been done in a few model plants; however, less is known about the diversity of these regulatory RNAs in peanut (Arachis hypogaea L.), one of the most important oilseed crops cultivated worldwide.

Results

A library of small RNA from peanut was constructed for deep sequencing. In addition to 126 known miRNAs from 33 families, 25 novel peanut miRNAs were identified. The miRNA* sequences of four novel miRNAs were discovered, providing additional evidence for the existence of miRNAs. Twenty of the novel miRNAs were considered to be species-specific because no homolog has been found for other plant species. qRT-PCR was used to analyze the expression of seven miRNAs in different tissues and in seed at different developmental stages and some showed tissue- and/or growth stage-specific expression. Furthermore, potential targets of these putative miRNAs were predicted on the basis of the sequence homology search.

Conclusions

We have identified large numbers of miRNAs and their related target genes through deep sequencing of a small RNA library. This study of the identification and characterization of miRNAs in peanut can initiate further study on peanut miRNA regulation mechanisms, and help toward a greater understanding of the important roles of miRNAs in peanut.

Identification and characterization of microRNAs and their target genes in tobacco (Nicotiana tabacum)

microRNAs (miRNAs) are a recently discovered class of small (~21 nt) endogenous gene regulators that have been shown to play an important role in plant growth and development by aiding in organ maturation, hormone signaling, tissue differentiation, and plant tolerance to environmental stress. Since a list of miRNAs has never been generated for tobacco, we employed genome survey sequence analysis to computationally identify 259 potentially conserved tobacco miRNAs, belonging to 65 families, and validated 11 of these miRNAs using qRT-PCR. The 65 miRNA families were dramatically different in size. miRNA precursor (pre-miRNA) sequence analysis showed that tobacco pre-miRNAs greatly varied from 45 to 635 nt in length with an average of 141 ± 108 nt. We were also able to determine the presence of antisense miRNAs as well as miRNA clusters in tobacco. Using previously established protocols, a total of 1,225 potential target genes were predicted for the newly identified tobacco miRNAs. These target genes include transcription factors, DNA replication proteins, metabolic enzymes, as well as other gene targets necessary for proper plant maturation. The results of this study show that conserved miRNAs exist in tobacco and suggest that these miRNAs may play an important role in tobacco growth and development.