Geraniol is one of the most abundant aromatic compounds in fresh tea leaves and contributes to the pleasant odor of tea products. Additionally, it functions as an airborne signal that interacts with other members of the ecosystem. To date, the regulation of the geraniol biosynthesis in tea plants remains to be investigated. In this study, a correlation test of the content of geraniol and its glycosides with gene expression data revealed that nudix hydrolase, CsNudix26, and its transcription factor, CsbHLH133 are involved in geraniol biosynthesis. In vitro enzyme assays and metabolic analyses of genetically modified tea plants confirmed that CsNudix26 is responsible for the formation of geraniol. Yeast one-hybrid, dual-luciferase reporter, and EMSA assays were used to verify the binding of CsbHLH133 to the CsNudix26 promoter. Overexpression of CsbHLH133 in tea leaves enhanced CsNudix26 expression and geraniol accumulation, whereas CsbHLH133 silencing reduced CsNudix26 transcript levels and geraniol content. Interestingly, CsbHLH133-AS, produced by alternative splicing, was discovered and proved to be the primary transcript expressed in response to various environmental stresses. Furthermore, geraniol release was found to be affected by various factors that alter the expression patterns of CsbHLH133 and CsbHLH133-AS. Our findings indicate that distinct transcript splicing patterns of CsbHLH133 regulate geraniol biosynthesis in tea plants in response to different regulatory factors.

The 5\' untranslated region (5\'UTR) of many positive-stranded RNA viruses contain functional regulatory sequences. Here, we show that the porcine reproductive and respiratory syndrome virus (PRRSV), a member of arteriviruses, harbors small upstream open reading frames (uORFs) in its 5\'UTR. Bioinformatics analysis shows that this feature is relatively well conserved among PRRSV strains and Arteriviridae. We also identified a uORF, namely uORF2, in the PRRSV strain JXwn06, that possesses translational activity and exerts a suppressive effect on the expression of the primary ORF evidenced by in vitro reporter assays. We tested its importance via reverse genetics by introducing a point mutation into the PRRSV infectious cDNA clone to inactivate the start codon of uORF2. The recovered mutant virus Mut2 surprisingly replicated to the same level as the wild-type virus (WT), but induced a higher level of inflammatory cytokines (e.g., TNF-α, IL-1β, and IL-6) both in vitro and in animal experiments, correlating well with more severe lung injury and higher death rate. In line with this, over-expression of uORF2 in transfected cells significantly inhibited poly(I:C)-induced expression of inflammatory cytokines. Together, our data support the idea that uORF2 encodes a novel, functional regulator of PRRSV virulence despite of its short size.
OBJECTIVE: PRRSV has remained a major challenge to the world swine industry, but we still do not know much about its biology and pathogenesis. Here, we provide evidence to show that the 5\'UTR of PRRSV strain JXwn06 harbors a functional uORF that has the coding capacity and regulates induction of inflammation as demonstrated by in vitro assays and animal experiment. The findings reveal a novel viral factor that regulates cellular inflammation and provide insight into the understanding of PRRSV pathogenesis.

Ovarian dysfunction stands as a prevalent contributor to female infertility, with its etiology intertwined with genetic, autoimmune, and environmental factors. Within the ovarian follicles, granulosa cells (GCs) represent the predominant cell population. Alterations in GCs, notably oxidative stress (OS) and the consequential surge in reactive oxygen species (ROS), play pivotal roles in the orchestration of ovarian function. Nrf2aa, a newly identified upstream open reading frame (uORF), is situated within the 5\' untranslated region (5\'UTR) of sheep Nrf2 mRNA and is regulated by melatonin, a crucial intrafollicular antioxidant. In this study, we have noted that Nrf2aa has the capacity to encode a peptide and exerts a negative regulatory effect on the translation efficiency (TE) of the Nrf2 CDs region. Further in vitro experiments, we observed that interfering with Nrf2aa can enhance the cellular functionality of GCs under 3-np-induced oxidative stress, while overexpressing Nrf2aa has the opposite effect. Furthermore, overexpression of Nrf2aa counteracts the rescuing effect of melatonin on the cellular functions of GCs under oxidative stress conditions, including estrogen secretion, proliferation, apoptosis, and many more. Finally, we confirmed that Nrf2aa, by regulating the expression of key proteins in the Nrf2/KEAP1 signaling pathway, further modulates the antioxidant levels in GCs.

It has been well documented that mutations in coding DNA or cis-regulatory elements underlie natural phenotypic variation in many organisms. However, the development of sophisticated functional tools in recent years in a wide range of traditionally non-model systems have revealed many \'unusual suspects\' in the molecular bases of phenotypic evolution, including upstream open reading frames (uORFs), cryptic splice sites, and small RNAs. Furthermore, large-scale genome sequencing, especially long-read sequencing, has identified a cornucopia of structural variation underlying phenotypic divergence and elucidated the composition of supergenes that control complex multi-trait polymorphisms. In this review article we highlight recent studies that demonstrate this great diversity of molecular mechanisms producing adaptive genetic variation and the panoply of evolutionary paths leading to the \'grandeur of life\'.

This Special Issue was assembled to mark the 25th anniversary of the proposal of the d -mannose/ l -galactose (Smirnoff-Wheeler) ascorbate biosynthesis pathway in plants ( Wheeler et al., 1998 ). The issue aims to assess the current state of knowledge and to identify outstanding questions about ascorbate metabolism and functions in plants.

Untranslated regions (UTRs) are important mediators of post-transcriptional regulation. The length of UTRs and the composition of regulatory elements within them are known to vary substantially across genes, but little is known about the reasons for this variation in humans. Here, we set out to determine whether this variation, specifically in 5\'UTRs, correlates with gene dosage sensitivity.
We investigate 5\'UTR length, the number of alternative transcription start sites, the potential for alternative splicing, the number and type of upstream open reading frames (uORFs) and the propensity of 5\'UTRs to form secondary structures. We explore how these elements vary by gene tolerance to loss-of-function (LoF; using the LOEUF metric), and in genes where changes in dosage are known to cause disease. We show that LOEUF correlates with 5\'UTR length and complexity. Genes that are most intolerant to LoF have longer 5\'UTRs, greater TSS diversity, and more upstream regulatory elements than their LoF tolerant counterparts. We show that these differences are evident in disease gene-sets, but not in recessive developmental disorder genes where LoF of a single allele is tolerated.
Our results confirm the importance of post-transcriptional regulation through 5\'UTRs in tight regulation of mRNA and protein levels, particularly for genes where changes in dosage are deleterious and lead to disease. Finally, to support gene-based investigation we release a web-based browser tool, VuTR, that supports exploration of the composition of individual 5\'UTRs and the impact of genetic variation within them.

Engineering disease-resistant plants can be a powerful solution to the issue of food security. However, it requires addressing two fundamental questions: what genes to express and how to control their expressions. To find a solution, we screen CRISPR-edited upstream open reading frame (uORF) variants in rice, aiming to optimize translational control of disease-related genes. By switching uORF types of the 5\'-leader from Arabidopsis TBF1, we modulate the ribosome accessibility to the downstream firefly luciferase. We assume that by switching uORF types using CRISPR, we could generate uORF variants with alternative translation efficiency (CRISPR-aTrE-uORF). These variants, capable of boosting translation for resistance-associated genes and dampening it for susceptible ones, can help pinpoint previously unidentified genes with optimal expression levels. To test the assumption, we screened edited uORF variants and found that enhanced translational suppression of the plastic glutamine synthetase 2 can provide broad-spectrum disease resistance in rice with minimal fitness costs. This strategy, which involves modifying uORFs from none to some, or from some to none or different ones, demonstrates how translational agriculture can speed up the development of disease-resistant crops. This is vital for tackling the food security challenges we face due to growing populations and changing climates.

Post-transcriptional mRNA regulation shapes gene expression, yet how cis-elements and mRNA translation interface to regulate mRNA stability is poorly understood. We find that the strength of translation initiation, upstream open reading frame (uORF) content, codon optimality, AU-rich elements, microRNA binding sites, and open reading frame (ORF) length function combinatorially to regulate mRNA stability. Machine-learning analysis identifies ORF length as the most important conserved feature regulating mRNA decay. We find that Upf1 binds poorly translated and untranslated ORFs, which are associated with a higher decay rate, including mRNAs with uORFs and those with exposed ORFs after stop codons. Our study emphasizes Upf1\'s converging role in surveilling mRNAs with exposed ORFs that are poorly translated, such as mRNAs with long ORFs, ORF-like 3\' UTRs, and mRNAs containing uORFs. We propose that Upf1 regulation of poorly/untranslated ORFs provides a unifying mechanism of surveillance in regulating mRNA stability and homeostasis in an exon-junction complex (EJC)-independent nonsense-mediated decay (NMD) pathway that we term ORF-mediated decay (OMD).

The Arabidopsis (Arabidopsis thaliana) constitutive triple response1-10 (ctr1-10) mutant produces a reduced level of CTR1 protein and exhibits a weak ctr1 mutant phenotype. Sequence analysis revealed highly active translation of the upstream open reading frame (uORF) at the extended 5\'-UTR of the ctr1-10 mRNA, resulting from T-DNA insertion. Enhancer screening for ctr1-10 isolated the fragile histidine triad-1 (fhit-1) mutation. The fhit-1 ctr1-10 mutant phenotypically resembled strong ctr1 mutants and barely produced CTR1, and the fhit-1 mutation reduced the translation efficiency of ctr1-10 but not that of CTR1 mRNA. The human (Homo sapiens) Fhit that involves tumorigenesis and genome instability has the in vitro dinucleotide 5\',5\'″-P1, P3-triphosphate hydrolase activity, and expression of the human HsFHIT or the hydrolase-defective HsFHITH96N transgene reversed the fhit-1 ctr1-10 mutant phenotype and restored CTR1 levels. Genetic editing that in situ disrupts individual upstream ATG codons proximal to the ctr1-10 mORF elevated CTR1 levels in ctr1-10 plants independent of FHIT. EUKARYOTIC INITIATION FACTOR3G (eIF3G), which is involved in translation and reinitiation, interacted with FHIT, and both were associated with the polysome. We propose that FHIT resumes early terminated ctr1-10 mORF translation in the face of active and complex uORF translation. Our study unveils a niche that may lead to investigations on the molecular mechanism of Fhit-like proteins in translation reinitiation. The biological significance of FHIT-regulated translation is discussed.

A 5\'-leader, known initially as the 5\'-untranslated region, contains multiple isoforms due to alternative splicing (aS) and alternative transcription start site (aTSS). Therefore, a representative 5\'-leader is demanded to examine the embedded RNA regulatory elements in controlling translation efficiency. Here, we develop a ranking algorithm and a deep-learning model to annotate representative 5\'-leaders for five plant species. We rank the intra-sample and inter-sample frequency of aS-mediated transcript isoforms using the Kruskal-Wallis test-based algorithm and identify the representative aS-5\'-leader. To further assign a representative 5\'-end, we train the deep-learning model 5\'leaderP to learn aTSS-mediated 5\'-end distribution patterns from cap-analysis gene expression data. The model accurately predicts the 5\'-end, confirmed experimentally in Arabidopsis and rice. The representative 5\'-leader-contained gene models and 5\'leaderP can be accessed at RNAirport (http://www.rnairport.com/leader5P/). The Stage 1 annotation of 5\'-leader records 5\'-leader diversity and will pave the way to Ribo-Seq open-reading frame annotation, identical to the project recently initiated by human GENCODE.