RNA

Genome-wide RNA structure maps have recently become available through the coupling of in vivo chemical probing reagents with next-generation sequencing. Initial analyses relied on the identification of truncated reverse transcription reads to identify the chemically modified nucleotides, but recent studies have shown that mutational signatures can also be used. While these two methods have been employed interchangeably, here we show that they actually provide complementary information. Consequently, analyses using exclusively one of the two methodologies may disregard a significant portion of the structural information. We also show that the identity and sequence environment of the modified nucleotide greatly affect the odds of introducing a mismatch or causing reverse transcriptase drop-off. Finally, we identify specific mismatch signatures generated by dimethyl sulfate probing that can be exploited to remove false positives typically produced in RNA structurome analyses, and how these signatures vary depending on the reverse transcription enzyme used.

Stress granules are RNA-protein condensates that form in response to an increase in untranslating mRNPs. Stress granules form by the condensation of mRNPs through a combination of protein-protein, protein-RNA, and RNA-RNA interactions. Several reports have suggested that G-rich RNA sequences capable of forming G-quadruplexes promote stress granule formation. Here, we provide three observations arguing that G-tracts capable of forming rG4s do not promote mRNAs partitioning into stress granules in human osteosarcoma cells. First, we observed no difference in the accumulation in stress granules of reporter mRNAs with and without G-tracts in their 3 UTRs. Second, in U-2 OS cell lines with reduced DHX36 expression, which is thought to unwind G-quadruplexes, the partitioning of endogenous mRNAs was independent of their predicted rG4-forming potential. Third, while mRNAs in stress granules initially appeared to have a higher probability of forming rG4s than bulk mRNAs, this effect disappeared when rG4 motif abundance was standardized by mRNA length. However, we observe that in a G3BP1/2 double knockout cell line, reducing DHX36 expression rescued stress granule-like foci formation. This indicates that DHX36 can limit stress granule formation, potentially by unwinding trans rG4s, or limiting other intermolecular RNA-RNA interactions that promote stress granule formation. Key Points- G-tract RNAs with quadruplex forming potential in an mRNA do not affect its partitioning into stress granules - mRNA partitioning to stress granules is dependent on mRNA length rather than rG4-forming potential - DHX36, a DEAH-box helicase that unwinds RNA G-quadruplexes, limits stress granule formation O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=72 SRC="FIGDIR/small/659950v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@a24c58org.highwire.dtl.DTLVardef@1422ce9org.highwire.dtl.DTLVardef@1929677org.highwire.dtl.DTLVardef@d48fa6_HPS_FORMAT_FIGEXP M_FIG C_FIG

The authors wish to withdraw this manuscript and apologize for errors in the initial submission. All the original experiments were performed by YY. Unfortunately, JP and members of the Mello lab have not been able to replicate some aspects of the study. JP has failed to independently reproduce the specific results showing RNAi-triggered relocalization of target RNA, and P granule specific accumulation of (the P granule component GLH-1) as reported. The conditions/strains analyzed by JP were as follows: (1) oma-1 FISH on WT worms [control, 6 hr and 12 hr oma-1(RNAi)]. (2) oma-1 FISH on OMA-1:GFP worms [control, 6 hr oma-1(RNAi), or 6 hr gfp(RNAi)]. (3) oma-1 FISH on WT worms [control, 4hr, 6hr, 8 hr, and 10 hr oma-1(RNAi)]. 10-23 gonads were analyzed per experiment. Fixation conditions were essentially as described, with the only known difference being that gonads were not exposed to detergent prior to fixation. Using YYs reagents and protocol the Mello lab has not observed an obvious relocalization of target RNA to P granules (marked by GFP::GLH-1) after 6 hrs oma-1(RNAi); n=92 gonads. CM, JP and DG consider that the published images accurately represent the image stacks provided by YY as representative, raw data, but JP and CM note configurations of FISH signals in germ nuclei and gonad anatomy that they consider unusual. CM, JP and DG have not detected any evidence of image manipulation. YY states that none of the raw image data were manipulated beyond standard adjustments for brightness and contrast prior to processing images for publication as described. However, YY reports that the images were not representative of the majority of sample gonads, and instead were pre-selected under low magnification for rare examples with asymmetrical, expanded P granules. Efforts to identify conditions that explain the rare gonads imaged by YY continue in the Mello lab, as do efforts to reproduce independently each of the other reported results; we plan to provide an update in the near future.

A subset of circular RNAs (circRNAs) and linear RNAs have been proposed to "sponge" or block microRNA activity. Additionally, certain RNAs induce microRNA destruction through the process of Target RNA-Directed MicroRNA Degradation (TDMD), but whether both linear and circular transcripts are equivalent in driving TDMD is unknown. Here we study whether circular/linear topology of endogenous and artificial RNA targets affects TDMD. Consistent with previous knowledge that Cdr1as (ciRS-7) circular RNA protects miR-7 from Cyrano-mediated TDMD, we demonstrate that depletion of Cdr1as reduces miR-7 abundance. In contrast, overexpression of an artificial linear version of Cdr1as drives miR-7 degradation. Using plasmids that express a circRNA with minimal co-expressed cognate linear RNA, we show differential effects on TDMD that cannot be attributed to the nucleotide sequence, as the TDMD properties of a sequence often differ between its circular and linear forms. By analysing RNA sequencing data of a neuron differentiation system, we further detect potential effects of circRNAs on microRNA stability. Our results support the view that RNA circularity influences TDMD, either enhancing or inhibiting it on specific microRNAs.

Ribosomal proteins, because of their RNA-binding capacity, may engage various cellular RNAs and fulfill nonribosomal roles. Previously, we and others described the intergenic regulation mediated by splicing of RPL22 paralogs in Saccharomyces cerevisiae. Here, we prepared a panel of RPL22A/B intronic mutants with respect to their RNAfold-predicted features and analyzed their properties. We tested the splicing and Rpl22-intron interaction using an intron-containing reporter and a three-hybrid yeast system, respectively. We found that the splicing of RPL22 introns can be inhibited by stabilizing a predicted stem as part of a particular type of conformation (I structure). Stabilizing the formation of an alternate stem (P structure) led to a permissive outcome of splicing. Intriguingly, the regulatory capacity of the main stem loop of the I structure was dependent on the rest of the intronic structure. Rpl22 enhanced splicing inhibition in WT and several of the mutants, which we interpret as stabilization of the I structure by protein binding. Mutagenesis identified both the main and alternative 5ss and additional stem loops as part of the regulatory mechanism. The inhibitory conformation of the intron did not prevent recognition of the 5ss and branch point, but rather stalled splicing at a later stage, before the first catalytic step. We concluded that the structural ensemble of the RPL22 pre-mRNA behaves as an allosteric switch that responds to [Rpl22].

Many small nucleolar RNAs and many of the hairpin precursors of miRNAs are processed from long non-protein-coding (lncRNA) host genes. In contrast to their highly conserved and heavily structured payload, the host genes feature poorly conserved sequences. Nevertheless there is mounting evidence that the host genes have biological functions. No obvious connections between the function of the host genes and the function of their payloads have been reported. Here we inverstigate whether there is an association of host gene function or mechanisms with the type of payload. To assess this hypothesis we test whether the miRNA host genes (MIRHGs), snoRNA host genes (SNHGs), and other lncRNAs host genes can be distinguished based on sequence and structure features. A positive answer would imply a correlation between host genes and their payload. While the three classes can be distinguished reliably when the classifier is allowed to extract features from the payloads, this is no longer the case when only sequence and structure of parts of the host gene distal from the snoRNAs or miRNA payload is used for classification. Our data indicate that the functions of MIRHGs and SNHGs are largely independent of the functions of their payloads. Furthermore, there is no evidence that the MIRHGs and SNHGs form coherent classes of long non-coding RNAs distinguished by features other than their payloads.

1Circular RNAs have garnered considerable interest, as they have been implicated in numerous biological processes and diseases. Through their stability, they are often considered promising biomarker candidates or therapeutic targets. Due to the lack of a poly(A) tail, circRNAs are best detected in total RNA-seq data after depleting ribosomal RNA. However, we observe that the application of circRNA detection in the vastly more ubiquitous poly(A)-enriched RNA-seq data still occurs. In this study, we systematically compare the detection of circRNAs in two matched poly(A) and ribosomal RNA-depleted data sets. Our results indicate that the comparably few circRNAs detected in poly(A) data are likely false positives. In addition, we demonstrate that the quality of sample processing, as measured by the fraction of ribosomal reads, significantly affects the sensitivity of circRNA detection, leading to a bias in downstream analysis. Our findings establish best practices for circRNA research: total RNA sequencing with effective rRNA depletion is the preferred approach for accurate circRNA profiling, whereas poly(A)-enriched data are unsuitable for comprehensive detection. Employing multiple circRNA detection tools and prioritizing back-splice junctions identified by several algorithms enhances confidence in the selection of candidates. These recommendations, validated across diverse datasets and tissue types, provide generalizable principles for robust circRNA analysis. Key PointsO_LIRibosomal RNA contamination substantially impairs the accuracy of circRNA detection. This technical confounding factor has thus far received limited attention in the field. C_LIO_LITool agreement for circRNA calls is moderate in total RNA-seq but essentially absent in poly(A)-enriched RNA-seq data, underscoring the importance of using multiple tools for circRNA detection. C_LIO_LIBack-splice junctions detected in poly(A)-enriched RNA-seq data are predominantly tool-specific artifacts rather than genuine circRNAs, challenging the validity of circRNA identification in poly(A)-enriched datasets. C_LI

In eukaryotes, splice sites define the introns of pre-mRNAs and must be recognized and excised with nucleotide precision by the spliceosome to make the correct mRNA product. In one of the earliest steps of spliceosome assembly, the U1 small nuclear ribonucleoprotein (snRNP) recognizes the 5 splice site (5 SS) through a combination of base pairing, protein-RNA contacts, and interactions with other splicing factors. Previous studies investigating the mechanisms of 5 SS recognition have largely been done in vivo or in cellular extracts where the U1/5 SS interaction is difficult to deconvolute from the effects of trans-acting factors or RNA structure. In this work we used co-localization single-molecule spectroscopy (CoSMoS) to elucidate the pathway of 5 SS selection by purified yeast U1 snRNP. We determined that U1 reversibly selects 5 SS in a sequence-dependent, two-step mechanism. A kinetic selection scheme enforces pairing at particular positions rather than overall duplex stability to achieve long-lived U1 binding. Our results provide a kinetic basis for how U1 may rapidly surveil nascent transcripts for 5 SS and preferentially accumulate at these sequences rather than on close cognates. IMPACT STATEMENTThe yeast U1 snRNP recognizes multiple features of target RNAs to reversibly identify splicing-competent 5 splice sites.

U6 small nuclear (sn)RNA is the shortest and most conserved snRNA in the spliceosome and forms a substantial portion of its active site. Unlike the other four spliceosomal snRNAs, which are synthesized by RNA polymerase (RNAP) II, U6 is made by RNAP III. To determine if some aspect of U6 function is incompatible with synthesis by RNAP II, we created a U6 snRNA gene with RNAP II promoter and terminator sequences. This "U6-II" gene is functional as the sole source of U6 snRNA in yeast, but its transcript is much less stable than U6 snRNA made by RNAP III. Addition of the U4 snRNA Sm protein binding site to U6-II increased its stability and led to formation of U6-II*Sm complexes. We conclude that synthesis of U6 snRNA by RNAP III is not required for its function and that U6 snRNPs containing the Sm complex can form in vivo. The ability to synthesize U6 snRNA with RNAP II relaxes sequence restraints imposed by intragenic RNAP III promoter and terminator elements and allows facile control of U6 levels via regulators of RNAP II transcription.

Like-SM proteins (Lsm) assemble into heptameric complexes that are conserved in eukaryotes. The Lsm2-8 complex is involved in the nuclear maturation of spliceosomal U6 snRNA, whereas the Lsm1-7/Pat1 complex associates with mRNA decapping complexes in the cytoplasm. A proposed role of Lsm1-7 is to recruit the decapping machinery to unstable mRNA that are rapidly deadenylated. However, the impact of deadenylation on RNA stability has been challenged by recent studies in yeast and other organisms. To investigate the dynamics of the Lsm1-7 in recruiting the decapping enzyme Dcp2 we used stable isotope labeling with aminoacids in cell culture (SILAC) combined with affinity purifications and mass spectrometry for Lsm1 and Dcp1. These experiments identified a slow dynamics of protein exchange between Dcp2 or Pby1 when bound by Dcp1 and a similarly slow exchange between the Lsm components of the Lsm1-7 complex, with faster exchange rates for other components of these complexes. To evaluate the potential role of Lsm1 in the degradation of unstable transcripts, we investigated the effects on mRNA of a rapid depletion of Lsm1 in an inducible degron system. Lsm1 depletion led to an increase in the abundance of transcripts that have been previously identified as stablised in the absence of LSM1. However, depletion of Lsm1 also led to a modest increase in the levels of nonsense-mediated mRNA decay (NMD) substrates, similar to the expected results of a minor decapping defect. Altogether, our results suggest that Lsm1-7 is required for the normal function of the decapping complex on specific transcripts, including NMD substrates, although its impact on RNA degradation, in particular for unstable mRNA, is very limited.

Cellular processes require precise and specific gene regulation, in which continuous mRNA degradation is a major element. The mRNA degradation mechanisms should be able to degrade a wide range of different RNA substrates with high efficiency, but should at the same time be limited, to avoid killing the cell by elimination of all cellular RNA. RNase Y is a major endoribonuclease found in most Firmicutes, including Bacillus subtilis and Staphylococcus aureus. However, the molecular interactions that direct RNase Y to cleave the correct RNA molecules at the correct position remain unknown. In this work we have identified transcripts that are homologs in S. aureus and B. subtilis, and are RNase Y targets in both bacteria. Two such transcript pairs were used as models to show a functional overlap between the S. aureus and the B. subtilis RNase Y, which highlighted the importance of the nucleotide sequence of the RNA molecule itself in the RNase Y targeting process. Cleavage efficiency is driven by the primary nucleotide sequence immediately downstream of the cleavage site and base-pairing in a secondary structure a few nucleotides downstream. Cleavage positioning is roughly localised by the downstream secondary structure and fine-tuned by the nucleotide immediately upstream of the cleavage. The identified elements were sufficient for RNase Y-dependent cleavage, since the sequence elements from one of the model transcripts were able to convert an exogenous non-target transcript into a target for RNase Y. Author summaryIn order to correctly regulate the level of RNAs, bacteria require their RNA to be continuously synthesised and degraded. However, even related bacterial species can have different sets of ribonucleases, each with their own target criteria. Here we explore which sequence elements of an RNA are important for being targeted by the endoribonuclese RNase Y in the two bacteria, Staphylococcus aureus and Bacillus subtilis. We specifically examine the RNase Y dependent cleavage of two transcripts that have homologs in both bacteria. We identify a short single-stranded regions immediately downstream of the cleavage position can be modified to change the cleavage efficiency up to 20-fold. We furthermore discover that a secondary structure a few nucleotides downstream of the cleavage is required for cleavage and that the positioning of the cleavage can be modulated by moving this structure.

SINEUPs are antisense long non-coding RNAs that enhance translation of overlapping sense mRNAs through the activity of two domains: a SINEB2 sequence UP-regulating translation (Effector Domain, ED) and an antisense region providing target specificity (Binding Domain, BD). In this study, we demonstrate that the invSINEB2 sequence from the natural SINEUP AS Uchl1 RNA is an Internal Ribosomal Entry Site (IRES) when acting in cis and that known viral and cellular IRES sequences can act as Effector Domain in synthetic SINEUPs. To identify natural IRES-containing, non-coding RNAs with SINEUP-like activity, we focused on circular RNAs showing that the non-coding circ5533, transcribed from the c-myc locus, enhances endogenous protein expression of its target PX Domain Containing Serine/Threonine Kinase Like (Pxk) by increasing mRNA association to polysomes. In summary, this study shows that natural and synthetic SINEUPs include linear and circular transcripts with an embedded IRES sequence as ED.

The identification of RNAs that are recognized by RNA-binding proteins (RNA-BPs) using techniques such as "Crosslinking and Immunoprecipitation" (CLIP) has revolutionized the genome-wide discovery of RNA-BP RNA targets. Among the different versions of CLIP that have been developed, the use of photoactivable nucleoside analogs incorporated into cellular RNA has resulted in high efficiency photoactivable ribonucleoside-enhanced CLIP (PAR-CLIP). Nonetheless, PAR-CLIP has not yet been applied in prokaryotes. To determine if PAR-CLIP can be used in prokaryotes, we determined suitable conditions for the incorporation of 4-thiouridine (4SU), a photoactivable nucleoside, into E. coli RNA, and for the isolation of crosslinked RNA. Applying this technique to Hfq, a well-characterized regulator of small RNA (sRNA)-messenger RNA (mRNA) interactions, we showed that PAR-CLIP identified most of the known sRNA targets of Hfq, as well as functionally relevant sites of Hfq-mRNA interactions at nucleotide resolution. Based on our findings, PAR-CLIP represents an improved method to identify both the RNAs and the specific regulatory sites that are recognized by RNA-BPs in prokaryotes.

Yeast RPL22A and RPL22B genes form an intergenic regulatory loop modulating the ratio of paralogous transcripts in response to changing levels of proteins. Gabunilas and Chanfreau (Gabunilas and Chanfreau, PLoS Genet 12, e1005999, 2016) and our group (Abrhamova et al., PLoS ONE 13, e0190685, 2018) described that Rpl22 proteins bound to the divergent introns of RPL22 paralogs and inhibited splicing in dosage dependent manner. Here, we continued to study the splicing regulation in more detail and designed constructs for in vivo analyses of splicing efficiency. We also tested Rpl22 binding to RPL22B intron in three-hybrid system. We were able to confirm the findings reported originally by Gabunilas and Chanfreau on the importance of a stem loop structure within the RPL22B intron. Mutations which lowered the stability of the structure abolished Rpl22-mediated inhibition. In contrast, we were not able to confirm the sequence specificity with respect to either Rpl22 binding or splicing inhibition within this region, which they reported. We contradict their results that the RNA internal loop of RPL22Bi (nt 178CCCU181 and 221UGAA224) is crucial for mediating the Rpl22 effects. We assume that this discrepancy reflects the difference in constructs, as the reporters used by Gabunilas and Chanfreau lacked the alternative 5 splice site as well as surrounding exons. Our own comparison confirms that deleting the sequence spanning alternative 5 splice site lowers splicing efficiency, hinting to possible disturbances of the regulatory mechanism. We argue that the structural context of the regulatory element may reach across the intron or into the surrounding sequences, similarly to what was found previously for other genes, such as RPL30. Apparently, more detailed analyses are needed to discern this intriguing example of splicing regulation.

Nonsense mutations are often associated with reduced mRNA levels, as premature translation termination can lead to the activation of nonsense-mediated mRNA decay (NMD). To examine how positional context influences these outcomes, we introduced premature translation termination codons (PTCs) at 15 locations within the coding region of a GFP reporter gene in Schizosaccharomyces pombe. PTCs in the first third of the coding region (codons 1-88) consistently led to reduced mRNA levels. In contrast, most downstream PTCs (codons 108-231) showed modest or minimal reductions, and several were associated with increased mRNA levels relative to the PTC-less control transcript. Measurement of transcript stability for one such variant indicated that the increased abundance was not attributable to decreased turnover. Deletion of UPF1 in wild-type cells elevated the levels of transcripts that were reduced and, unexpectedly, further increased the abundance of transcripts that exceeded the control level. In spliced versions of these constructs, downstream PTCs generally reduced mRNA levels regardless of exon junction position; additionally, for some early PTCs, splicing appeared to suppress rather than enhance mRNA reduction. Overall, these observations indicate that an unexpected consequence of nonsense mutations can be increased mRNA levels. These findings may aid in the interpretation of the effects of nonsense mutations on mRNA abundance beyond the predictions of current NMD models and may also help in the design of eukaryotic gene-expression constructs.

RNA-protein interactions (RPIs) are crucial for accurately operating various processes in and between organisms across kingdoms of life. Mutual detection of RPI partner molecules depends on distinct sequential, structural, or thermodynamic features, which can be determined via experimental and bioinformatic methods. Still, the underlying molecular mechanisms of many RPIs are poorly understood. It is further hypothesized that many RPIs are not even described yet. Computational RPI prediction is continuously challenged by the lack of data and detailed research of very specific examples. With the discovery of novel RPI complexes in all kingdoms of life, adaptations of existing RPI prediction methods are necessary. Continuously improving computational RPI prediction is key in advancing the understanding of RPIs in detail and supplementing experimental RPI determination. The growing amount of data covering more species and detailed mechanisms support the accuracy of prediction tools, which in turn support specific experimental research on RPIs. Here, we give an overview of RPI prediction tools that do not use high-throughput data as the users input. We review the tools according to their input, usability, and output. We then apply the tools to known RPI examples across different kingdoms of life. Our comparison shows that the investigated prediction tools do not favor a certain species and equip the user with results varying in degree of information, from an overall RPI score to detailed interacting residues. Furthermore, we provide a guide tree to assist users which RPI prediction tool is appropriate for their available input data and desired output. Contactsarah.krautwurst@uni-jena.de

i-Motifs are non-canonical nucleic acid secondary structures formed in sequences rich in cytosine. Previous work has shown that DNA i-motifs may form at neutral pH and provided evidence to suggest they influence biological functions. RNA i-motifs are less stable than DNA i-motifs, so more questions surround the biological relevance of these structures in RNA. Using biophysical methods, we found that increasing cytosine tract lengths resulted in increased thermal stability but not pH stability. In ensemble solution experiments RNA i-motifs appear globally unfolded at neutral pH. However, single molecule experiments revealed that 1% of RNA i-motifs remain folded in solution. This has implications for the potential of formation of RNA i-motifs in cells.

The Arabidopsis thaliana La1 (AtLa1) protein is a member of the genuine La family of RNA biogenesis proteins, which are structurally similar to the La-resembling protein 7 (LARP7) family. LARP7 proteins participate in the biogenesis of the telomerase ribonucleoprotein complex in model systems, but are absent in plants. We show that AtLa1 binds to telomerase RNA in a manner reminiscent of the Tetrahymena LARP7 protein p65. Classical in vitro methods and microscale thermophoresis (MST) were used to specify the molecular structures involved in this multi-surface interaction. AtLa1 also enhances the binding of TR to the telomerase reverse transcriptase RNA binding domain. We therefore propose that biogenesis of telomerase RNA in plants and ciliates is achieved by a similar pathway, differing in the employment of genuine La or LARP7-like proteins, respectively. We also report that the domain of unknown function (DUF3223, DeCL) found in the AtLa1 protein binding partner, Domino, is an RNA binding domain with modest TR-binding capacity. This domain is also found in plant and ciliate proteins, including plant polymerases IV/V and the Tetrahymena La protein Mlp1. Together, these suggest that RNA biogenesis pathways in plants and ciliates have a conserved evolutionary relationship, with parallels between their La proteins.

Messenger RNA uridylation is pervasive and conserved among eukaryotes, but the consequences of this modification for mRNA fate are still under debate. Utilising a simple model organism to study uridylation may facilitate efforts to understand the cellular function of this process. Here we demonstrate that uridylation can be detected using simple bioinformatics approach. We utilise it to unravel widespread transcript uridylation in fission yeast and demonstrate the contribution of both Cid1 and Cid16, the only two annotated terminal uridyltransferases (TUT-ases) in this yeast. To detect uridylation in transcriptome data, we used a RNA-sequencing (RNA-seq) library preparation protocol involving initial linker ligation to fragmented RNA. We next explored the data to detect uridylation marks. Our analysis shows that uridylation in yeast is pervasive, similarly to the ones in multicellular organisms. Importantly, our results confirm the role of the cytoplasmic uridyltransferase Cid1 as the primary uridylation catalyst. However, we also observed an auxiliary role of the second uridyltransferase, Cid16. Thus both fission yeast uridyltransferases are involved in mRNA uridylation. Intriguingly, we found no physiological phenotype of the single and double deletion mutants of cid1 and cid16 and only limited impact of uridylation on steady-state mRNA levels. Our work establishes fission yeast as a potent model to study uridylation in a simple eukaryote, and we demonstrate that it is possible to detect uridylation marks in RNA-seq data without the need for specific methodologies.

Live imaging of RNA molecules constitutes an invaluable means to track the dynamics of mRNAs, but live imaging in Caenorhabditis elegans has been difficult to achieve. Endogenous transcripts have been observed in nuclei, but endogenous mRNAs have not been detected in the cytoplasm, and functional mRNAs have not been generated. Here, we have adapted live imaging methods to visualize mRNA in embryonic epithelial cells. We have tagged endogenous transcripts with MS2 hairpins in the 3 Untranslated Region (UTR) and visualized them after adjusting MS2 Coat Protein (MCP) expression. A reduced number of these transcripts accumulate in the cytoplasm, leading to loss-of-function phenotypes. In addition, mRNAs for dlg-1 fail to associate with the adherens junction, as observed for the endogenous mRNA. These defects are reversed by inactivating the nonsense-mediated decay pathway. RNA accumulates in the cytoplasm, dlg-1 associates with the adherens junction, and mutant phenotypes are rescued. These data suggest that MS2 repeats can induce the degradation of endogenous targets and alter the cytoplasmic distribution. Although our focus is RNAs expressed in epithelial cells during morphogenesis, this method can likely be applied to other cell types and stages. Summary statementAn adapted MS2-MCP method to tag endogenous transcripts in C. elegans embryos for live imaging without affecting mRNA stability.