Co-transcriptional gene regulation in eukaryotes and prokaryotes.

Many steps of RNA processing occur during transcription by RNA polymerases. Co-transcriptional activities are deemed commonplace in prokaryotes, in which the lack of membrane barriers allows mixing of all gene expression steps, from transcription to translation. In the past decade, an extraordinary level of coordination between transcription and RNA processing has emerged in eukaryotes. In this Review, we discuss recent developments in our understanding of co-transcriptional gene regulation in both eukaryotes and prokaryotes, comparing methodologies and mechanisms, and highlight striking parallels in how RNA polymerases interact with the machineries that act on nascent RNA. The development of RNA sequencing and imaging techniques that detect transient transcription and RNA processing intermediates has facilitated discoveries of transcription coordination with splicing, 3'-end cleavage and dynamic RNA folding and revealed physical contacts between processing machineries and RNA polymerases. Such studies indicate that intron retention in a given nascent transcript can prevent 3'-end cleavage and cause transcriptional readthrough, which is a hallmark of eukaryotic cellular stress responses. We also discuss how coordination between nascent RNA biogenesis and transcription drives fundamental aspects of gene expression in both prokaryotes and eukaryotes.

Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data.

The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, limitations, and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for continuous extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies, while the containers and reproducible workflows could easily be deployed and extended to evaluate new methods or data sets.

Extensible benchmarking of methods that identify and quantify polyadenylation sites from RNA-seq data.

The tremendous rate with which data is generated and analysis methods emerge makes it increasingly difficult to keep track of their domain of applicability, assumptions, and limitations and consequently, of the efficacy and precision with which they solve specific tasks. Therefore, there is an increasing need for benchmarks, and for the provision of infrastructure for continuous method evaluation. APAeval is an international community effort, organized by the RNA Society in 2021, to benchmark tools for the identification and quantification of the usage of alternative polyadenylation (APA) sites from short-read, bulk RNA-sequencing (RNA-seq) data. Here, we reviewed 17 tools and benchmarked eight on their ability to perform APA identification and quantification, using a comprehensive set of RNA-seq experiments comprising real, synthetic, and matched 3'-end sequencing data. To support continuous benchmarking, we have incorporated the results into the OpenEBench online platform, which allows for seamless extension of the set of methods, metrics, and challenges. We envisage that our analyses will assist researchers in selecting the appropriate tools for their studies. Furthermore, the containers and reproducible workflows generated in the course of this project can be seamlessly deployed and extended in the future to evaluate new methods or datasets.

Transcriptome-wide mapping reveals a diverse dihydrouridine landscape including mRNA.

Dihydrouridine is a modified nucleotide universally present in tRNAs, but the complete dihydrouridine landscape is unknown in any organism. We introduce dihydrouridine sequencing (D-seq) for transcriptome-wide mapping of D with single-nucleotide resolution and use it to uncover novel classes of dihydrouridine-containing RNA in yeast which include mRNA and small nucleolar RNA (snoRNA). The novel D sites are concentrated in conserved stem-loop regions consistent with a role for D in folding many functional RNA structures. We demonstrate dihydrouridine synthase (DUS)-dependent changes in splicing of a D-containing pre-mRNA in cells and show that D-modified mRNAs can be efficiently translated by eukaryotic ribosomes in vitro. This work establishes D as a new functional component of the mRNA epitranscriptome and paves the way for identifying the RNA targets of multiple DUS enzymes that are dysregulated in human disease.

Transcription Regulation Through Nascent RNA Folding.

Folding of RNA into secondary structures through intramolecular base pairing determines an RNA's three-dimensional architecture and associated function. Simple RNA structures like stem loops can provide specialized functions independent of coding capacity, such as protein binding, regulation of RNA processing and stability, stimulation or inhibition of translation. RNA catalysis is dependent on tertiary structures found in the ribosome, tRNAs and group I and II introns. While the extent to which non-coding RNAs contribute to cellular maintenance is generally appreciated, the fact that both non-coding and coding RNA can assume relevant structural states has only recently gained attention. In particular, the co-transcriptional folding of nascent RNA of all classes has the potential to regulate co-transcriptional processing, RNP (ribonucleoprotein particle) formation, and transcription itself. Riboswitches are established examples of co-transcriptionally folded coding RNAs that directly regulate transcription, mainly in prokaryotes. Here we discuss recent studies in both prokaryotes and eukaryotes showing that structure formation may carry a more widespread regulatory logic during RNA synthesis. Local structures forming close to the catalytic center of RNA polymerases have the potential to regulate transcription by reducing backtracking. In addition, stem loops or more complex structures may alter co-transcriptional RNA processing or its efficiency. Several examples of functional structures have been identified to date, and this review provides an overview of physiologically distinct processes where co-transcriptionally folded RNA plays a role. Experimental approaches such as single-molecule FRET and in vivo structural probing to further advance our insight into the significance of co-transcriptional structure formation are discussed.

Identification of Alternative Polyadenylation in Cyanidioschyzon merolae Through Long-Read Sequencing of mRNA.

Alternative polyadenylation (APA) is widespread among metazoans and has been shown to have important impacts on mRNA stability and protein expression. Beyond a handful of well-studied organisms, however, its existence and consequences have not been well investigated. We therefore turned to the deep-branching red alga, Cyanidioschyzon merolae, to study the biology of polyadenylation in an organism highly diverged from humans and yeast. C. merolae is an acidothermophilic alga that lives in volcanic hot springs. It has a highly reduced genome (16.5 Mbp) and has lost all but 27 of its introns and much of its splicing machinery, suggesting that it has been under substantial pressure to simplify its RNA processing pathways. We used long-read sequencing to assess the key features of C. merolae mRNAs, including splicing status and polyadenylation cleavage site (PAS) usage. Splicing appears to be less efficient in C. merolae compared with yeast, flies, and mammalian cells. A high proportion of transcripts (63%) have at least two distinct PAS's, and 34% appear to utilize three or more sites. The apparent polyadenylation signal UAAA is used in more than 90% of cases, in cells grown in both rich media or limiting nitrogen. Our documentation of APA for the first time in this non-model organism highlights its conservation and likely biological importance of this regulatory step in gene expression.

Fast, Simultaneous Tagging and Mutagenesis of Genes on Bacterial Chromosomes.

Fluorescence microscopy has become a powerful tool in molecular cell biology. Visualizing specific proteins in bacterial cells requires labeling with fluorescent or fluorogenic tags, preferentially at the native chromosomal locus to preserve expression dynamics associated with the genomic environment. Exploring protein function calls for targeted mutagenesis and observation of differential phenotypes. In the model bacterium Escherichia coli, protocols for tagging genes and performing targeted mutagenesis currently involve multiple steps. Here, we present an approach capable of simultaneous tagging and mutagenesis of essential and nonessential genes in a single step. We require only the insertion of a stretch of the target gene into an auxiliary plasmid together with the tag. Recombineering-based exchange with the native locus is then carried out, where the desired mutation is introduced during amplification with homology-bearing primers. Using this approach, multiple tagged mutants per gene can be derived quickly.

Enhancing the stability of DNA origami nanostructures: staple strand redesign versus enzymatic ligation.

DNA origami structures have developed into versatile tools in molecular sciences and nanotechnology. Currently, however, many potential applications are hindered by their poor stability, especially under denaturing conditions. Here we present and evaluate two simple approaches to enhance DNA origami stability. In the first approach, we elevated the melting temperature of nine critical staple strands by merging the oligonucleotides with adjacent sequences. In the second approach, we increased the global stability by enzymatically ligating all accessible staple strand ends directly. By monitoring the gradual urea-induced denaturation of a prototype triangular DNA origami modified by these approaches using atomic force microscopy, we show that rational redesign of a few, critical staple strands leads to a considerable increase in overall stability at high denaturant concentration and elevated temperatures. In addition, enzymatic ligation yields DNA nanostructures with superior stability at up to 37 °C and in the presence of 6 M urea without impairing their shape. This bio-orthogonal approach is readily adaptable to other DNA origami structures without the need for synthetic nucleotide modifications when structural integrity under harsh conditions is required.

Real-time monitoring of protein-induced DNA conformational changes using single-molecule FRET.

Apart from being storage devices for genetic information, nucleic acids can provide regulatory structures through evolutionarily optimized sequences. The interaction of proteins binding specifically to such sequences and resulting secondary structures, or the exposure of single-stranded DNA add a versatile regulatory framework for cells. Biochemical and structural biology experiments have revealed important underlying concepts of protein-DNA interactions but are often limited by ensemble averaging or static information. To decipher the dynamics of conformations adopted by protein-DNA complexes, single-molecule approaches have become a powerful resource over the past two decades. In particular single-molecule FRET (smFRET), which allows a read-out of DNA or protein conformations, became widely used. Here, we illustrate how to implement the technique and exemplarily describe how smFRET yields insights into conformational changes of DNA secondary structures induced by the single-stranded DNA binding protein SSB. We further explain how we use smFRET to study mechanisms of the replication initiator DnaA and the competition of DnaA and SSB for single-stranded DNA. We anticipate that smFRET will further develop into a particularly useful technique to study dynamic competitions of proteins for the same DNA substrate.