Understanding how RNA structure influences its function has been hampered by a lack of approaches that can accurately quantify RNA structure in vivo; here, RNA structure is revealed on a global scale and with nucleotide-level resolution, showing that there is less structure within cells than expected from in vitro and in silico analyses. Being single-stranded, RNA can adopt a diversity of secondary structures via inter- and intramolecular base-pairing. Three studies published in this issue of Nature provide an in-depth view of the variety, dynamics and functional influence of RNA structures in vivo. Sarah Assmann and colleagues map the in vivo RNA structure of over 10,000 transcripts in the model plant Arabidopsis thaliana. Their struc-seq (structure-seqence) approach incorporates in vivo chemical (DMS) probing and next-generation sequencing to provide single-nucleotide resolution on a genome-wide scale. Distinct patterns of structure are found to be correlated with coding regions, splice sites and polyadenylation sites. Comparison of these results with those obtained by earlier technologies reveals that, although predictions for some classes of genes were fairly accurate, others, such as those involved in stress response, were poorly predicted and may reflect changes that made them more adapted to that condition. Jonathan Weissman and colleagues have also developed a DMS-seq method to globally monitor RNA structure to single-nucleotide precision in yeast and mammalian cells. Comparing their findings with in vitro data, the authors conclude that there is less structure within cells than expected. Even thermostable RNA structures can be denatured in cells, highlighting the importance of cellular processes in regulating RNA structure. Howard Chang and colleagues asked a different question: how does RNA secondary structure change on a transcriptome-wide level in related individuals? By calculating the RNA secondary structures of two parents and their child, they find that about 15% of transcribed single-nucleotide variants affect local secondary structure. These 'RiboSNitches' are depleted in certain locations, suggesting that a particular RNA structure at that site is important. This study illustrates that there is much to be learned about how changes in RNA structure, particularly as imparted by genetic variation, can alter gene expression. RNA has a dual role as an informational molecule and a direct effector of biological tasks. The latter function is enabled by RNA’s ability to adopt complex secondary and tertiary folds and thus has motivated extensive computational1,2 and experimental3,4,5,6,7,8 efforts for determining RNA structures. Existing approaches for evaluating RNA structure have been largely limited to in vitro systems, yet the thermodynamic forces which drive RNA folding in vitro may not be sufficient to predict stable RNA structures in vivo5. Indeed, the presence of RNA-binding proteins and ATP-dependent helicases can influence which structures are present inside cells. Here we present an approach for globally monitoring RNA structure in native conditions in vivo with single-nucleotide precision. This method is based on in vivo modification with dimethyl sulphate (DMS), which reacts with unpaired adenine and cytosine residues9, followed by deep sequencing to monitor modifications. Our data from yeast and mammalian cells are in excellent agreement with known messenger RNA structures and with the high-resolution crystal structure of the Saccharomyces cerevisiae ribosome10. Comparison between in vivo and in vitro data reveals that in rapidly dividing cells there are vastly fewer structured mRNA regions in vivo than in vitro. Even thermostable RNA structures are often denatured in cells, highlighting the importance of cellular processes in regulating RNA structure. Indeed, analysis of mRNA structure under ATP-depleted conditions in yeast shows that energy-dependent processes strongly contribute to the predominantly unfolded state of mRNAs inside cells. Our studies broadly enable the functional analysis of physiological RNA structures and reveal that, in contrast to the Anfinsen view of protein folding whereby the structure formed is the most thermodynamically favourable, thermodynamics have an incomplete role in determining mRNA structure in vivo.

Ribosome profiling data report on the distribution of translating ribosomes, at steady‐state, with codon‐level resolution. We present a robust method to extract codon translation rates and protein synthesis rates from these data, and identify causal features associated with elongation and translation efficiency in physiological conditions in yeast. We show that neither elongation rate nor translational efficiency is improved by experimental manipulation of the abundance or body sequence of the rare AGG tRNA. Deletion of three of the four copies of the heavily used ACA tRNA shows a modest efficiency decrease that could be explained by other rate‐reducing signals at gene start. This suggests that correlation between codon bias and efficiency arises as selection for codons to utilize translation machinery efficiently in highly translated genes. We also show a correlation between efficiency and RNA structure calculated both computationally and from recent structure probing data, as well as the Kozak initiation motif, which may comprise a mechanism to regulate initiation.