Diff isomiRs: Large-scale detection of differential isomiRs for understanding non-coding regulated stress omics in plants

The Pivotal Role of Noncoding RNAs in Flowering Time Regulation

Noncoding RNAs constitute a substantial portion of the transcriptome and play pivotal roles in plant growth and development. Among these processes, flowering stands out as a crucial trait, ensuring reproductive success and seed set, and is meticulously controlled by genetic and environmental factors. With remarkable advancements in the identification and characterization of noncoding RNAs in plants, it has become evident that noncoding RNAs are intricately linked to the regulation of flowering time. In this article, we present an overview of the classification of plant noncoding RNAs and delve into their functions in the regulation of flowering time. Furthermore, we review their molecular mechanisms and their involvement in flowering pathways. Our comprehensive review enhances the understanding of how noncoding RNAs contribute to the regulation of flowering time and sheds light on their potential implications in crop breeding.

Transgressive and parental dominant gene expression and cytosine methylation during seed development in Brassica napus hybrids

KEY MESSAGE

Transcriptomic and epigenomic profiling of gene expression and small RNAs during seed and seedling development reveals expression and methylation dominance levels with implications on early stage heterosis in oilseed rape. The enhanced performance of hybrids through heterosis remains a key aspect in plant breeding; however, the underlying mechanisms are still not fully elucidated. To investigate the potential role of transcriptomic and epigenomic patterns in early expression of hybrid vigor, we investigated gene expression, small RNA abundance and genome-wide methylation in hybrids from two distant Brassica napus ecotypes during seed and seedling developmental stages using next-generation sequencing. A total of 31117, 344, 36229 and 7399 differentially expressed genes, microRNAs, small interfering RNAs and differentially methylated regions were identified, respectively. Approximately 70% of the differentially expressed or methylated features displayed parental dominance levels where the hybrid followed the same patterns as the parents. Via gene ontology enrichment and microRNA-target association analyses during seed development, we found copies of reproductive, developmental and meiotic genes with transgressive and paternal dominance patterns. Interestingly, maternal dominance was more prominent in hypermethylated and downregulated features during seed formation, contrasting to the general maternal gamete demethylation reported during gametogenesis in angiosperms. Associations between methylation and gene expression allowed identification of putative epialleles with diverse pivotal biological functions during seed formation. Furthermore, most differentially methylated regions, differentially expressed siRNAs and transposable elements were in regions that flanked genes without differential expression. This suggests that differential expression and methylation of epigenomic features may help maintain expression of pivotal genes in a hybrid context. Differential expression and methylation patterns during seed formation in an F₁ hybrid provide novel insights into genes and mechanisms with potential roles in early heterosis.

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

Plant transcriptomes encompass a large number of functional non-coding RNAs (ncRNAs), only some of which have protein-coding capacity. Since their initial discovery, ncRNAs have been classified into two broad categories based on their biogenesis and mechanisms of action, housekeeping ncRNAs and regulatory ncRNAs. With advances in RNA sequencing technology and computational methods, bioinformatics resources continue to emerge and update rapidly, including workflow for in silico ncRNA analysis, up-to-date platforms, databases, and tools dedicated to ncRNA identification and functional annotation. In this review, we aim to describe the biogenesis, biological functions, and interactions with DNA, RNA, protein, and microorganism of five major regulatory ncRNAs (miRNA, siRNA, tsRNA, circRNA, lncRNA) in plants. Then, we systematically summarize tools for analysis and prediction of plant ncRNAs, as well as databases. Furthermore, we discuss the silico analysis process of these ncRNAs and present a protocol for step-by-step computational analysis of ncRNAs. In general, this review will help researchers better understand the world of ncRNAs at multiple levels.

Regulatory non-coding RNAs: a new frontier in regulation of plant biology

Beyond the most crucial roles of RNA molecules as a messenger, ribosomal, and transfer RNAs, the regulatory role of many non-coding RNAs (ncRNAs) in plant biology has been recognized. ncRNAs act as riboregulators by recognizing specific nucleic acid targets through homologous sequence interactions to regulate plant growth, development, and stress responses. Regulatory ncRNAs, ranging from small to long ncRNAs (lncRNAs), exert their control over a vast array of biological processes. Based on the mode of biogenesis and their function, ncRNAs evolved into different forms that include microRNAs (miRNAs), small interfering RNAs (siRNAs), miRNA variants (isomiRs), lncRNAs, circular RNAs (circRNAs), and derived ncRNAs. This article explains the different classes of ncRNAs and their role in plant development and stress responses. Furthermore, the applications of regulatory ncRNAs in crop improvement, targeting agriculturally important traits, have been discussed.

IsoMiRmap-fast, deterministic, and exhaustive mining of isomiRs from short RNA-seq datasets

MOTIVATION

MicroRNA (miRNA) precursor arms give rise to multiple isoforms simultaneously called "isomiRs." IsomiRs from the same arm typically differ by a few nucleotides at either their 5´ or 3´ termini, or both. In humans, the identities and abundances of isomiRs depend on a person's sex, population of origin, race/ethnicity, and on tissue type, tissue state, and disease type/subtype. Moreover, nearly half of the time the most abundant isomiR differs from the miRNA sequence found in public databases. Accurate mining of isomiRs from deep sequencing data is thus important.

RESULTS

We developed isoMiRmap, a fast, standalone, user-friendly mining tool that identifies and quantifies all isomiRs by directly processing short RNA-seq datasets. IsoMiRmap is a portable "plug-and-play" tool, requires minimal setup, has modest computing and storage requirements, and can process an RNA-seq dataset with 50 million reads in just a few minutes on an average laptop. IsoMiRmap deterministically and exhaustively reports all isomiRs in a given deep sequencing dataset and quantifies them accurately (no double-counting). IsoMiRmap comprehensively reports all miRNA precursor locations from which an isomiR may be transcribed, tags as 'ambiguous' isomiRs whose sequences exist both inside and outside of the space of known miRNA sequences and reports the public identifiers of common single-nucleotide polymorphisms and documented somatic mutations that may be present in an isomiR. IsoMiRmap also identifies isomiRs with 3´ non-templated post-transcriptional additions. Compared to similar tools, isoMiRmap is the fastest, reports more bona fide isomiRs, and provides the most comprehensive information related to an isomiR's transcriptional origin.

AVAILABILITY

The codes for isoMiRmap are freely available at https://cm.jefferson.edu/isoMiRmap/ and https://github.com/TJU-CMC-Org/isoMiRmap/. IsomiR profiles for the datasets of the 1000 Genomes Project, spanning five population groups, and The Cancer Genome Atlas (TCGA), spanning 33 cancer studies, are also available at https://cm.jefferson.edu/isoMiRmap/.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Argonaute4 Modulates Resistance to Fusarium brachygibbosum Infection by Regulating Jasmonic Acid Signaling

Argonautes (AGOs) associate with noncoding RNAs to regulate gene expression during development and stress adaptation. Their role in plant immunity against hemibiotrophic fungal infection remains poorly understood. Here, we explore the function of AGOs in the interaction of wild tobacco (Nicotiana attenuata) with a naturally occurring hemibiotrophic pathogen, Fusarium brachygibbosum Among all AGOs, only transcripts of AGO4 were elicited after fungal infection. The disease progressed more rapidly in AGO4-silenced (irAGO4) plants than in wild type, and small RNA (smRNA) profiling revealed that 24-nucleotide smRNA accumulation was severely abrogated in irAGO4 plants. Unique microRNAs (miRNAs: 130 conserved and 208 novel, including 11 canonical miRNA sequence variants known as "isomiRs") were identified in infected plants; silencing of AGO4 strongly changed miRNA accumulation dynamics. Time-course studies revealed that infection increased accumulation of abscisic acid, jasmonates, and salicylic acid in wild type; in irAGO4 plants, infection accumulated lower jasmonate levels and lower transcripts of jasmonic acid (JA) biosynthesis genes. Treating irAGO4 plants with JA, methyl jasmonate, or cis-(+)-12-oxo-phytodienoic acid restored wild-type levels of resistance. Silencing expression of RNA-directed RNA polymerases RdR1 and RdR2 (but not RdR3) and Dicer-like3 (DCL3, but not DCL2 or DCL4) increased susceptibility to F brachygibbosum The relevance of AGO4, RdR1, RdR2, and DCL3 in a natural setting was revealed when plants individually silenced in their expression (and their binary combinations) were planted in a diseased field plot in the Great Basin Desert of Utah. These plants were more susceptible to infection and accumulated lower JA levels than wild type. We infer that AGO4-dependent smRNAs play a central role in modulating JA biogenesis and signaling during hemibiotrophic fungal infections.