In vitro RNA editing in plant mitochondria does not require added energy

C-to-U RNA Editing: A Site Directed RNA Editing Tool for Restoration of Genetic Code

The restoration of genetic code by editing mutated genes is a potential method for the treatment of genetic diseases/disorders. Genetic disorders are caused by the point mutations of thymine (T) to cytidine (C) or guanosine (G) to adenine (A), for which gene editing (editing of mutated genes) is a promising therapeutic technique. In C-to-Uridine (U) RNA editing, it converts the base C-to-U in RNA molecules and leads to nonsynonymous changes when occurring in coding regions; however, for G-to-A mutations, A-to-I editing occurs. Editing of C-to-U is not as physiologically common as that of A-to-I editing. Although hundreds to thousands of coding sites have been found to be C-to-U edited or editable in humans, the biological significance of this phenomenon remains elusive. In this review, we have tried to provide detailed information on physiological and artificial approaches for C-to-U RNA editing.

Deepred-Mt: Deep representation learning for predicting C-to-U RNA editing in plant mitochondria

In land plant mitochondria, C-to-U RNA editing converts cytidines into uridines at highly specific RNA positions called editing sites. This editing step is essential for the correct functioning of mitochondrial proteins. When using sequence homology information, edited positions can be computationally predicted with high precision. However, predictions based on the sequence contexts of such edited positions often result in lower precision, which is limiting further advances on novel genetic engineering techniques for RNA regulation. Here, a deep convolutional neural network called Deepred-Mt is proposed. It predicts C-to-U editing events based on the 40 nucleotides flanking a given cytidine. Unlike existing methods, Deepred-Mt was optimized by using editing extent information, novel strategies of data augmentation, and a large-scale training dataset, constructed with deep RNA sequencing data of 21 plant mitochondrial genomes. In comparison to predictive methods based on sequence homology, Deepred-Mt attains significantly better predictive performance, in terms of average precision as well as F1 score. In addition, our approach is able to recognize well-known sequence motifs linked to RNA editing, and shows that the local RNA structure surrounding editing sites may be a relevant factor regulating their editing. These results demonstrate that Deepred-Mt is an effective tool for predicting C-to-U RNA editing in plant mitochondria. Source code, datasets, and detailed use cases are freely available at https://github.com/aedera/deepredmt.

The Unexpected Diversity of Plant Organelle RNA Editosomes

Flowering plants convert many hundreds of organelle cytidines (Cs) to uridines (Us) during post-transcriptional RNA editing. Pentatricopeptide repeat (PPR) proteins dictate specificity by recognizing RNA sequences near C targets. However, the complete mechanism of the editing machinery is not yet understood. Recently, non-PPR editing factors [RNA editing factor interacting proteins (RIPs)/multiple organellar RNA editing factors (MORFs), organelle RNA recognition motif (ORRM) proteins, organelle zinc-finger (OZ) proteins, and protoporphyrinogen oxidase 1 (PPO1)] have been identified as components of the plant RNA editosome, which is a small RNA-protein complex. Surprisingly, plant editosomes are highly diverse not only with regard to the PPR proteins they contain but also in the non-PPR components that are present. Here we review the most recent progress in the field and discuss the implications of the diversity of plant editosomes for the evolution of RNA editing and for possible future applications.

Multiple specificity recognition motifs enhance plant mitochondrial RNA editing in vitro

Analysis of RNA editing in plant mitochondria has at least in vitro been hampered by very low activity. Consequently, none of the trans-acting factors involved has yet been identified. We here report that in vitro RNA editing increases dramatically when additional cognate recognition motifs are introduced into the template RNA molecule. Substrate RNAs with tandemly repeated recognition elements enhance in vitro RNA editing from 2-3% to 50-80%. The stimulation is not influenced by the editing status of a respective RNA editing site, suggesting that specific recognition of a site can be independent of the edited nucleotide itself. In vivo, attachment of the editing complex may thus be analogously initiated at sequence similarities in the vicinity of bona fide editing sites. This cis-acting enhancement decreases with increasing distance between the duplicated specificity signals; a cooperative effect is detectable up to approximately 200 nucleotides. Such repeated template constructs promise to be powerful tools for the RNA affinity identification of the as yet unknown trans-factors of plant mitochondrial RNA editing.

The process of RNA editing in plant mitochondria

RNA editing changes more than 400 cytidines to uridines in the mRNAs of mitochondria in flowering plants. In other plants such as ferns and mosses, RNA editing reactions changing C to U and U to C are observed at almost equal frequencies. Development of transfection systems with isolated mitochondria and of in vitro systems with extracts from mitochondria has considerably improved our understanding of the recognition of specific editing sites in the last few years. These assays have also yielded information about the biochemical parameters, but the enzymes involved have not yet been identified. Here we summarize our present understanding of the process of RNA editing in flowering plant mitochondria.

NAD(H)-dependent glutamate dehydrogenase is essential for the survival of Arabidopsis thaliana during dark-induced carbon starvation

Interconversion between glutamate and 2-oxoglutarate, which can be catalysed by glutamate dehydrogenase (GDH), is a key reaction in plant carbon (C) and nitrogen (N) metabolism. However, the physiological role of plant GDH has been a controversial issue for several decades. To elucidate the function of GDH, the expression of GDH in various tissues of Arabidopsis thaliana was studied. Results suggested that the expression of two Arabidopsis GDH genes was differently regulated depending on the organ/tissue types and cellular C availability. Moreover, Arabidopsis mutants defective in GDH genes were identified and characterized. The two isolated mutants, gdh1-2 and gdh2-1, were crossed to make a double knockout mutant, gdh1-2/gdh2-1, which contained negligible levels of NAD(H)-dependent GDH activity. Phenotypic analysis on these mutants revealed an increased susceptibility of gdh1-2/gdh2-1 plants to C-deficient conditions. This conditional phenotype of the double knockout mutant supports the catabolic role of GDH and its role in fuelling the TCA cycle during C starvation. The reduced rate of glutamate catabolism in the gdh2-1 and gdh1-2/gdh2-1 plants was also evident by the growth retardation of these mutants when glutamate was supplied as the alternative N source. Furthermore, amino acid profiles during prolonged dark conditions were significantly different between WT and the gdh mutant plants. For instance, glutamate levels increased in WT plants but decreased in gdh1-2/gdh2-1 plants, and aberrant accumulation of several amino acids was detected in the gdh1-2/gdh2-1 plants. These results suggest that GDH plays a central role in amino acid breakdown under C-deficient conditions.