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

An Integrated Bioinformatics and Functional Approach for miRNA Validation

MicroRNAs (miRNAs) are small (20-24 nucleotides) non-coding ribo-regulatory molecules with significant roles in regulating target mRNA and long non-coding RNAs at transcriptional and post-transcriptional levels. Rapid advancement in the small RNA sequencing methods with integration of degradome sequencing has accelerated the understanding of miRNA-mediated regulatory hubs in plants and yielded extensive annotation of miRNAs and corresponding targets. However, it is becoming clear that large numbers of such annotations are questionable. Therefore, it is imperative to adopt reliable and strict bioinformatics pipelines for miRNA identification. Furthermore, sensitive methods are needed for validation and functional characterization of miRNA and its target(s). In this chapter, we have provided a comprehensive and streamlined methodology for miRNA identification and its functional validation in plants. This includes a combination of various in silico and experimental methodologies. To identify miRNA compendium from large-scale Next-Generation Sequencing (NGS) small RNA datasets, the miR-PREFeR (miRNA PREdiction From small RNA-Seq data) bioinformatics tool has been described. Also, a homology-based search protocol for finding members of a specific miRNA family has been discussed. The chapter also includes techniques to ascertain miRNA:target pair specificity using in silico target prediction from degradome NGS libraries using CleaveLand pipeline, miRNA:target validation by in planta transient assays, 5' RLM-RACE and expression analysis as well as functional techniques like miRNA overexpression, short tandem target mimic and resistant target approaches. The proposed strategy offers a reliable and sensitive way for miRNA:target identification and validation. Additionally, we strongly promulgate the use of multiple methodologies to validate a miRNA as well as its target.

Lineage-Specific Evolved MicroRNAs Regulating NB-LRR Defense Genes in Triticeae

Disease resistance genes encoding proteins with nucleotide binding sites and Leucine-Rich Repeat (NB-LRR) domains include many members involved in the effector-triggered immunity pathway in plants. The transcript levels of these defense genes are negatively regulated by diverse microRNAs (miRNAs) in angiosperms and gymnosperms. In wheat, using small RNA expression datasets and degradome datasets, we identified five miRNA families targeting NB-LRR defense genes in monocots, some of which arose in the Triticeae species era. These miRNAs regulate different types of NB-LRR genes, most of them with coil-coiled domains, and trigger the generation of secondary small interfering RNAs (siRNA) as a phased pattern in the target site regions. In addition to acting in response to biotic stresses, they are also responsive to abiotic stresses such as heat, drought, salt, and light stress. Their copy number and expression variation in Triticeae suggest a rapid birth and death frequency. Altogether, non-conserved miRNAs as conserved transcriptional regulators in gymnosperms and angiosperms regulating the disease resistance genes displayed quick plasticity including the variations of sequences, gene copy number, functions, and expression level, which accompanied with NB-LRR genes may be tune-regulated to plants in natural environments with various biotic and abiotic stresses.

Evolution of Disease Defense Genes and Their Regulators in Plants

Biotic stresses do damage to the growth and development of plants, and yield losses for some crops. Confronted with microbial infections, plants have evolved multiple defense mechanisms, which play important roles in the never-ending molecular arms race of plant–pathogen interactions. The complicated defense systems include pathogen-associated molecular patterns (PAMP) triggered immunity (PTI), effector triggered immunity (ETI), and the exosome-mediated cross-kingdom RNA interference (CKRI) system. Furthermore, plants have evolved a classical regulation system mediated by miRNAs to regulate these defense genes. Most of the genes/small RNAs or their regulators that involve in the defense pathways can have very rapid evolutionary rates in the longitudinal and horizontal co-evolution with pathogens. According to these internal defense mechanisms, some strategies such as molecular switch for the disease resistance genes, host-induced gene silencing (HIGS), and the new generation of RNA-based fungicides, have been developed to control multiple plant diseases. These broadly applicable new strategies by transgene or spraying ds/sRNA may lead to reduced application of pesticides and improved crop yield.

Identification and functional characterization of intermediate-size non-coding RNAs in maize

BACKGROUND

The majority of eukaryote genomes can be actively transcribed into non-coding RNAs (ncRNAs), which are functionally important in development and evolution. In the study of maize, an important crop for both humans and animals, aside from microRNAs and long non-coding RNAs, few studies have been conducted on intermediate-size ncRNAs.

RESULTS

We constructed a homogenized cDNA library of 50-500 nt RNAs in the maize inbred line Chang 7-2. Sequencing revealed 169 ncRNAs, which contained 58 known and 111 novel ncRNAs (including 70 snoRNAs, 27 snRNAs, 13 unclassified ncRNAs and one tRNA). Forty of the novel ncRNAs were specific to the Panicoideae, and 24% of them are located on sense-strand of the 5' or 3' terminus of protein coding genes on chromosome. Target site analysis found that 22 snoRNAs can guide to 38 2'-O-methylation and pseudouridylation modification sites of ribosomal RNAs and small nuclear RNAs. Expression analysis showed that 43 ncRNAs exhibited significantly altered expression in different tissues or developmental stages of maize seedlings, eight ncRNAs had tissue-specific expression and five ncRNAs were strictly accumulated in the early stage of leaf development. Further analysis showed that 3 of the 5 stage-specific ncRNAs (Zm-3, Zm-18, and Zm-73) can be highly induced under drought and salt stress, while one snoRNA Zm-8 can be repressed under PEG-simulated drought condition.

CONCLUSIONS

We provided a genome-wide identification and functional analysis of ncRNAs with a size range of 50-500 nt in maize. 111 novel ncRNAs were cloned and 40 ncRNAs were determined to be specific to Panicoideae. 43 ncRNAs changed significantly during maize development, three ncRNAs can be strongly induced under drought and salt stress, suggesting their roles in maize stress response. This work set a foundation for further study of intermediate-size ncRNAs in maize.

Distinguishing Orchid Species by DNA Barcoding: Increasing the Resolution of Population Studies in Plant Biology

Increasing the resolution of population studies in plant biology is one of the leading frontiers for omics sciences. One of the most pervasive challenges in molecular phylogenetics is the incongruence between phylogenies obtained using different data sets such as individual genes [like ribulose bisphosphate carboxylase large chain (rbcL) and maturase K (matK)] and intergenic spacers (IGS) [like nuclear ribosomal internal transcribed spacer 1 (nrITS 1) and 2 (nrITS 2), and chloroplast IGS between transfer RNA for leucine and phenylalanine (cp trnL-trnF IGS)]. To solve this challenge, we have screened the four well-established candidate gene sequences (i.e., rbcL, matK, trnL-trnF IGS, and 18S-ITS1-5.8S-ITS2-28S nrDNA) of 65 Indian orchid species. We also have included 31 different species of Dendrobium to identify the suitable locus for resolving the phylogeny-related problem below the taxonomic rank of genus. The Consortium for the Barcode of Life has recommended the locus rbcL and matK for barcoding of all land plants, including orchids. However, in this study, matK and rbcL (species resolving capacity 52% and 48%, respectively) were found to work above the taxonomic limit of genus, and thus cannot be considered a suitable tool to resolve closely related species of Dendrobium, whereas, we found that the locus 18S-ITS1-5.8S-ITS2-28S nrDNA is the best choice with the highest species resolving ability (95.23%) and the highest mean Kimura 2-parameter distance (254 for intergeneric and 144 for intrageneric) for phylogeny construction, and thus have been taken as the most promising single-locus barcode for orchids.

RNA Sequencing and Co-expressed Long Non-coding RNA in Modern and Wild Wheats

There is an urgent need for the improvement of drought-tolerant bread and durum wheat. The huge and complex genome of bread wheat (BBAADD genome) stands as a vital obstruction for understanding the molecular mechanism underlying drought tolerance. However, tetraploid wheat (Triticum turgidum ssp., BBAA genome) is an ancestor of modern bread wheat and offers an important model for studying the drought response due to its less complex genome. Additionally, several wild relatives of tetraploid wheat have already shown a significant drought tolerance. We sequenced root transcriptome of three tetraploid wheat varieties with varying stress tolerance profiles, and built differential expression library of their transcripts under control and drought conditions. More than 5,000 differentially expressed transcripts were identified from each genotype. Functional characterization of transcripts specific to drought-tolerant genotype, revealed their association with osmolytes production and secondary metabolite pathways. Comparative analysis of differentially expressed genes and their non-coding RNA partners, long noncoding RNAs and microRNAs, provided valuable insight to gene expression regulation in response to drought stress. LncRNAs as well as coding transcripts share similar structural features in different tetraploid species; yet, lncRNAs slightly differ from coding transcripts. Several miRNA-lncRNA target pairs were detected as differentially expressed in drought stress. Overall, this study suggested an important pool of transcripts where their manipulations confer a better performance of wheat varieties under drought stress.

MicroRNAs in model and complex organisms

Non-coding RNAs such as microRNAs (miRNAs) are very tiny ribonucleotides having an essential role in gene regulation at both post-transcriptional and translational levels. They are very conserved and expressed in worms, flies, plants, and mammals in a sequence-specific manner. Furthermore, it is now possible to clone miRNAs using the new genome editing tool CRISPR/cas9, which shows benefit in control of untargeted effect. In this special issue, we tried to cover researches associated with functional roles of miRNAs accross model and complex organisms.

Response of microRNAs to cold treatment in the young spikes of common wheat

Background

MicroRNAs (miRNAs) are a class of small non-coding RNAs that play important roles in biotic and abiotic stresses by regulating their target genes. For common wheat, spring frost damage frequently occurs, especially when low temperature coincides with plants at early floral organ differentiation, which may result in significant yield loss. Up to date, the role of miRNAs in wheat response to frost stress is not well understood.

Results

We report here the sequencing of small RNA transcriptomes from the young spikes that were treated with cold stress and the comparative analysis with those of the control. A total of 192 conserved miRNAs from 105 families and nine novel miRNAs were identified. Among them, 34 conserved and five novel miRNAs were differentially expressed between the cold-stressed samples and the controls. The expression patterns of 18 miRNAs were further validated by quantitative real time polymerase chain reaction (qRT-PCR). Moreover, nearly half of the miRNAs were cross inducible by biotic and abiotic stresses when compared with previously published work. Target genes were predicted and validated by degradome sequencing. Gene Ontology (GO) enrichment analysis showed that the target genes of differentially expressed miRNAs were enriched for response to the stimulus, regulation of transcription, and ion transport functions. Since many targets of differentially expressed miRNAs were transcription factors that are associated with floral development such as ARF, SPB (Squamosa Promoter Binding like protein), MADS-box (MCM1, AG, DEFA and SRF), MYB, SPX (SYG1, Pho81 and XPR1), TCP (TEOSINTE BRANCHED, Cycloidea and PCF), and PPR (PentatricoPeptide Repeat) genes, cold-altered miRNA expression may cause abnormal reproductive organ development.

Conclusion

Analysis of small RNA transcriptomes and their target genes provide new insight into miRNA regulation in developing wheat inflorescences under cold stress. MiRNAs provide another layer of gene regulation in cold stress response that can be genetically manipulated to reduce yield loss in wheat.

Electronic supplementary material

The online version of this article (doi:10.1186/s12864-017-3556-2) contains supplementary material, which is available to authorized users.

A large-scale chromosome-specific SNP discovery guideline

Single-nucleotide polymorphisms (SNPs) are the most prevalent type of variation in genomes that are increasingly being used as molecular markers in diversity analyses, mapping and cloning of genes, and germplasm characterization. However, only a few studies reported large-scale SNP discovery in Aegilops tauschii, restricting their potential use as markers for the low-polymorphic D genome. Here, we report 68,592 SNPs found on the gene-related sequences of the 5D chromosome of Ae. tauschii genotype MvGB589 using genomic and transcriptomic sequences from seven Ae. tauschii accessions, including AL8/78, the only genotype for which a draft genome sequence is available at present. We also suggest a workflow to compare SNP positions in homologous regions on the 5D chromosome of Triticum aestivum, bread wheat, to mark single nucleotide variations between these closely related species. Overall, the identified SNPs define a density of 4.49 SNPs per kilobyte, among the highest reported for the genic regions of Ae. tauschii so far. To our knowledge, this study also presents the first chromosome-specific SNP catalog in Ae. tauschii that should facilitate the association of these SNPs with morphological traits on chromosome 5D to be ultimately targeted for wheat improvement.

Comparison of miRNAs and Their Targets in Seed Development between Two Maize Inbred Lines by High-Throughput Sequencing and Degradome Analysis

MicroRNAs (miRNAs) play an important role in plant growth, development, and response to environment. For identifying and comparing miRNAs and their targets in seed development between two maize inbred lines (i.e. PH6WC and PH4CV), two sRNAs and two degradome libraries were constructed. Through high-throughput sequencing and miRNA identification, 55 conserved and 24 novel unique miRNA sequences were identified in two sRNA libraries; moreover, through degradome sequencing and analysis, 137 target transcripts corresponding to 38 unique miRNA sequences were identified in two degradome libraries. Subsequently, 16 significantly differentially expressed miRNA sequences were verified by qRT-PCR, in which 9 verified sequences obviously target 30 transcripts mainly involved with regulation in flowering and development in embryo. Therefore, the results suggested that some miRNAs (e.g. miR156, miR171, miR396 and miR444) related reproductive development might differentially express in seed development between the PH6WC and PH4CV maize inbred lines in this present study.

Wheat miRNA ancestors: evident by transcriptome analysis of A, B, and D genome donors

MicroRNAs are critical players of post-transcriptional gene regulation with profound effects on the fundamental processes of cellular life. Their identification and characterization, together with their targets, hold great significance in exploring and exploiting their roles on a functional context, providing valuable clues into the regulation of important biological processes, such as stress tolerance or environmental adaptation. Wheat is a hardy crop, extensively harvested in temperate regions, and is a major component of the human diet. With the advent of the next generation sequencing technologies considerably decreasing sequencing costs per base-pair, genomic, and transcriptomic data from several wheat species, including the progenitors and wild relatives have become available. In this study, we performed in silico identification and comparative analysis of microRNA repertoires of bread wheat (Triticum aestivum L.) and its diploid progenitors and relatives, Aegilops sharonensis, Aegilops speltoides, Aegilops tauschii, Triticum monococcum, and Triticum urartu through the utilization of publicly available transcriptomic data. Over 200 miRNA families were identified, majority of which have not previously been reported. Ancestral relationships expanded our understanding of wheat miRNA evolution, while T. monococcum miRNAs delivered important clues on the effects of domestication on miRNA expression. Comparative analyses on wild Ae. sharonensis accessions highlighted candidate miRNAs that can be linked to stress tolerance. The miRNA repertoires of bread wheat and its diploid progenitors and relatives provide important insight into the diversification and distribution of miRNA genes, which should contribute to the elucidation of miRNA evolution of Poaceae family. A thorough understanding of the convergent and divergent expression profiles of miRNAs in different genetic backgrounds can provide unique opportunities to modulation of gene regulation for better crop performance.

Molecular Pathology and Personalized Medicine: The Dawn of a New Era in Companion Diagnostics-Practical Considerations about Companion Diagnostics for Non-Small-Cell-Lung-Cancer

Companion diagnostics (CDx) have become a major tool in molecular pathology and assist in therapy decisions in an increasing number of various cancers. Particularly, the developments in lung cancer have been most impressing in the last decade and consequently lung cancer mutation testing and molecular profiling has become a major business of diagnostic laboratories. However, it has become difficult to decide which biomarkers are currently relevant for therapy decisions, as many of the new biomarkers are not yet approved as therapy targets, remain in the status of clinical studies, or still have not left the experimental phase. The current review is focussed on those markers that do have current therapy implications, practical implications arising from the respective companion diagnostics, and thus is focused on daily practice.

A Comprehensive Prescription for Plant miRNA Identification

microRNAs (miRNAs) are tiny ribo-regulatory molecules involved in various essential pathways for persistence of cellular life, such as development, environmental adaptation, and stress response. In recent years, miRNAs have become a major focus in molecular biology because of their functional and diagnostic importance. This interest in miRNA research has resulted in the development of many specific software and pipelines for the identification of miRNAs and their specific targets, which is the key for the elucidation of miRNA-modulated gene expression. While the well-recognized importance of miRNAs in clinical research pushed the emergence of many useful computational identification approaches in animals, available software and pipelines are fewer for plants. Additionally, existing approaches suffers from mis-identification and annotation of plant miRNAs since the miRNA mining process for plants is highly prone to false-positives, particularly in cereals which have a highly repetitive genome. Our group developed a homology-based in silico miRNA identification approach for plants, which utilizes two Perl scripts "SUmirFind" and "SUmirFold" and since then, this method helped identify many miRNAs particularly from crop species such as Triticum or Aegliops. Herein, we describe a comprehensive updated guideline by the implementation of two new scripts, "SUmirPredictor" and "SUmirLocator," and refinements to our previous method in order to identify genuine miRNAs with increased sensitivity in consideration of miRNA identification problems in plants. Recent updates enable our method to provide more reliable and precise results in an automated fashion in addition to solutions for elimination of most false-positive predictions, miRNA naming and miRNA mis-annotation. It also provides a comprehensive view to genome/transcriptome-wide location of miRNA precursors as well as their association with transposable elements. The "SUmirPredictor" and "SUmirLocator" scripts are freely available together with a reference high-confidence plant miRNA list.

Root precursors of microRNAs in wild emmer and modern wheats show major differences in response to drought stress

MicroRNAs, small regulatory molecules with significant impacts on the transcriptional network of all living organisms, have been the focus of several studies conducted mostly on modern wheat cultivars. In this study, we investigated miRNA repertoires of modern durum wheat and its wild relatives, with differing degrees of drought tolerance, to identify miRNA candidates and their targets involved in drought stress response. Root transcriptomes of Triticum turgidum ssp. durum variety Kızıltan and two Triticum turgidum ssp. dicoccoides genotypes TR39477 and TTD-22 under control and drought conditions were assembled from individual RNA-Seq reads and used for in silico identification of miRNAs. A total of 66 miRNAs were identified from all species, across all conditions, of which 46 and 38 of the miRNAs identified from modern durum wheat and wild genotypes, respectively, had not been previously reported. Genotype- and/or stress-specific miRNAs provide insights into our understanding of the complex drought response. Particularly, miR1435, miR5024, and miR7714, identified only from drought-stress roots of drought-tolerant genotype TR39477, can be candidates for future studies to explore and exploit the drought response to develop tolerant varieties.

Plant miRNAs: biogenesis, organization and origins

MicroRNAs, or miRNAs, are posttranscriptional regulators of gene expression. A wealth of observations and findings suggest highly complex, multicomponent, and intermingled pathways governing miRNA biogenesis and miRNA-mediated gene silencing. Plant miRNA genes are usually found as individual entities scattered around the intergenic and-to a much lesser extent-intragenic space, while miRNA gene clusters, formed by tandem or segmental duplications, also exist in plant genomes. Genome duplications are proposed to contribute to miRNA family expansions, as well. Evolutionarily young miRNAs retaining extensive homology to their loci of origin deliver important clues into miRNA origins and evolution. Additionally, imprecisely processed miRNAs evidence noncanonical routes of biogenesis, which may affect miRNA expression levels or targeting capabilities. Majority of the knowledge regarding miRNAs comes from model plant species. As ongoing research progressively expands into nonmodel systems, our understanding of miRNAs and miRNA-related pathways changes which opens up new perspectives and frontiers in miRNA research.