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Introns are a prevalent feature of eukaryotic genomes, yet their origins and contributions to genome function and evolution remain mysterious. In budding yeast, repression of the highly transcribed intron-containing ribosomal protein genes (RPGs) globally increases splicing of non-RPG transcripts through reduced competition for the spliceosome. We show that under these “hungry spliceosome” conditions, splicing occurs at more than 150 previously unannotated locations we call protointrons that do not overlap known introns. Protointrons use a less constrained set of splice sites and branchpoints than standard introns, including in one case AT-AC in place of GT-AG. Protointrons are not conserved in all closely related species, suggesting that most are not under positive selection and are fated to disappear. Some are found in non-coding RNAs (e. g. CUTs and SUTs), where they may contribute to the creation of new genes. Others are found across boundaries between noncoding and coding sequences, or within coding sequences, where they offer pathways to the creation of new protein variants, or new regulatory controls for existing genes. We define protointrons as (1) nonconserved intron-like sequences that are (2) infrequently spliced, and importantly (3) are not currently understood to contribute to gene expression or regulation in the way that standard introns function. A very few protointrons in S. cerevisiae challenge this classification by their increased splicing frequency and potential function, consistent with the proposed evolutionary process of “intronization”, whereby new standard introns are created. This snapshot of intron evolution highlights the important role of the spliceosome in the expansion of transcribed genomic sequence space, providing a pathway for the rare events that may lead to the birth of new eukaryotic genes and the refinement of existing gene function., Author summary The protein coding information in eukaryotic genes is broken by intervening sequences called introns that are removed from RNA during transcription by a large protein-RNA complex called the spliceosome. Where introns come from and how the spliceosome contributes to genome evolution are open questions. In this study, we find more than 150 new places in the yeast genome that are recognized by the spliceosome and spliced out as introns. Since they appear to have arisen very recently in evolution by sequence drift and do not appear to contribute to gene expression or its regulation, we call these protointrons. Protointrons are found in both protein-coding and non-coding RNAs and are not efficiently removed by the splicing machinery. Although most protointrons are not conserved and will likely disappear as evolution proceeds, a few are spliced more efficiently, and are located where they might begin to play functional roles in gene expression, as predicted by the proposed process of intronization. The challenge now is to understand how spontaneously appearing splicing events like protointrons might contribute to the creation of new genes, new genetic controls, and new protein isoforms as genomes evolve.

Introns are a prevalent feature of eukaryotic genomes, yet their origins and contributions to genome function and evolution remain mysterious. In budding yeast, repression of the highly transcribed intron-containing ribosomal protein genes (RPGs) globally increases splicing of non-RPG transcripts through reduced competition for the spliceosome. We show that under these “hungry spliceosome” conditions, splicing occurs at more than 150 previously unannotated locations we call protointrons that do not overlap known introns. Protointrons use a less constrained set of splice sites and branchpoints than standard introns, including in one case AT-AC in place of GT-AG. Protointrons are not conserved in all closely related species, suggesting that most are not under selection. Some are found in non-coding RNAs (e. g. CUTs and SUTs), where they may contribute to the creation of new genes. Others are found across boundaries between noncoding and coding sequences, or within coding sequences, where they offer pathways to the creation of new protein variants, or new regulatory controls for existing genes. We define protointrons as (1) nonconserved intron-like sequences that are (2) infrequently spliced, and importantly (3) are not currently understood to contribute to gene expression or regulation in the way that standard introns function. A very few protointrons inS. cerevisiaechallenge this classification by their increased splicing frequency and potential function, consistent with the proposed evolutionary process of “intronization”, whereby new standard introns are created. This snapshot of intron evolution highlights the important role of the spliceosome in the expansion of transcribed genomic sequence space, providing a pathway for the rare events that may lead to the birth of new eukaryotic genes and the refinement of existing gene function.Author SummaryThe protein coding information in eukaryotic genes is broken by intervening sequences called introns that are removed from RNA during transcription by a large protein-RNA complex called the spliceosome. Where introns come from and how the spliceosome contributes to genome evolution are open questions. In this study, we find more than 150 new places in the yeast genome that are recognized by the spliceosome and spliced out as introns. Since they appear to have arisen very recently in evolution by sequence drift and do not appear to contribute to gene expression or its regulation, we call these protointrons. Protointrons are found in both protein-coding and non-coding RNAs and are not efficiently removed by the splicing machinery. Although most protointrons are not conserved, a few are spliced more efficiently, and are located where they might begin to play functional roles in gene expression, as predicted by the proposed process of intronization. The challenge now is to understand how spontaneously appearing splicing events like protointrons might contribute to the creation of new genes, new genetic controls, and new protein isoforms as genomes evolve.

Small RNAs can be engineered to target and eliminate expression of disease-causing genes or infectious viruses, resulting in the preclinical and clinical development of RNA interference (RNAi) therapeutics using these small RNAs. To ensure the success of RNAi therapeutics, small hairpin RNAs (shRNAs) must co-opt sufficient quantities of the endogenous microRNA machinery to elicit efficient gene knockdown without impeding normal cellular function. We previously observed liver toxicity-including hepatocyte turnover, loss of gene repression and lethality-in mice receiving high doses of a recombinant adeno-associated virus (rAAV) vector expressing shRNAs (rAAV-shRNAs); however the mechanism by which toxicity ensues has not been elucidated. Using rAAV-shRNAs we have now determined that hepatotoxicity arises when exogenous shRNAs exceed 12% of the total amount of liver microRNAs. After this threshold was surpassed, shRNAs specifically reduced the initially synthesized 22-nucleotide isoform of microRNA (miR)-122-5p without substantially affecting other microRNAs, resulting in functional de-repression of miR-122 target mRNAs. Delivery of a rAAV-shRNA vector expressing mature miR-122-5p could circumvent toxicity, despite the exogenous shRNA accounting for 70% of microRNAs. Toxicity was also not observed in Mir122-knockout mice regardless of the level or sequence of the shRNA. Our study establishes limits to the microRNA machinery that is available for therapeutic siRNAs and suggests new paradigms for the role of miR-122 in liver homeostasis in mice.

SUMMARYAll living things experience entropy, manifested as a loss of inherited genetic and epigenetic information over time. As budding yeast cells age, epigenetic changes result in a loss of cell identity and sterility, both hallmarks of yeast aging. In mammals, epigenetic information is also lost over time, but what causes it to be lost and whether it is a cause or a consequence of aging is not known. Here we show that the transient induction of genomic instability, in the form of a low number of non-mutagenic DNA breaks, accelerates many of the chromatin and tissue changes seen during aging, including the erosion of the epigenetic landscape, a loss of cellular identity, advancement of the DNA methylation clock and cellular senescence. These data support a model in which a loss of epigenetic information is a cause of aging in mammals.One Sentence SummaryThe act of repairing DNA breaks induces chromatin reorganization and a loss of cell identity that may contribute to mammalian aging

To ensure success of RNA interference (RNAi) therapeutics, small hairpin RNAs (shRNAs) must co-opt sufficient quantities of the endogenous microRNA machinery to elicit efficient gene knockdown without impeding normal cellular function or causing liver toxicity. Using several recombinant adeno-associated viral (rAAV) vectors expressing shRNAs followed by small RNA sequencing, we determined that hepatic toxicity arises when exogenous shRNA levels exceed 12% of liver microRNAs. High shRNA expression specifically reduced miR-122-5p without affecting any other microRNAs ultimately resulting in functional de-repression of miR-122 target mRNAs. Furthermore, we found that only one isoform of miR-122-5p, 22 nucleotides in length, is displaced in toxic liver samples and that this isoform is the first to be synthesized from miR-122. A causative link between miR-122 reduction and toxicity was established when delivery of an AAV-shRNA expressing miR-122-5p could circumvent toxicity despite reaching 70% of microRNA reads. Consistent with these results, toxicity was not observed in miR-122 knockout mice -which in part adapt to an absence of miR-122 reduction - regardless of the level or sequence of shRNA. Together these results establish the limit to expendable miRNA/RNAi machinery and providing new paradigms for the role of miR-122 in liver homeostasis.

During meiosis in yeast, global splicing efficiency increases and then decreases. Here we provide evidence that splicing improves due to reduced competition for the splicing machinery. The timing of this regulation corresponds to repression and reactivation of ribosomal protein genes (RPGs) during meiosis. In vegetative cells, RPG repression by rapamycin treatment also increases splicing efficiency. Downregulation of the RPG-dedicated transcription factor gene IFH1 genetically suppresses two spliceosome mutations, prp11-1 and prp4-1, and globally restores splicing efficiency in prp4-1 cells. We conclude that the splicing apparatus is limiting and that pre-messenger RNAs compete. Splicing efficiency of a pre-mRNA therefore depends not just on its own concentration and affinity for limiting splicing factor(s), but also on those of competing pre-mRNAs. Competition between RNAs for limiting processing factors appears to be a general condition in eukaryotes for a variety of posttranscriptional control mechanisms including microRNA (miRNA) repression, polyadenylation, and splicing. © 2013 Elsevier Inc.

Splicing regulatory networks are essential components of eukaryotic gene expression programs, yet little is known about how they are integrated with transcriptional regulatory networks into coherent gene expression programs. Here we define the MER1 splicing regulatory network and examine its role in the gene expression program during meiosis in budding yeast. Mer1p splicing factor promotes splicing of just four pre-mRNAs. All four Mer1p-responsive genes also require Nam8p for splicing activation by Mer1p; however, other genes require Nam8p but not Mer1p, exposing an overlapping meiotic splicing network controlled by Nam8p. MER1 mRNA and three of the four Mer1p substrate pre-mRNAs are induced by the transcriptional regulator Ume6p. This unusual arrangement delays expression of Mer1p-responsive genes relative to other genes under Ume6p control. Products of Mer1p-responsive genes are required for initiating and completing recombination and for activation of Ndt80p, the activator of the transcriptional network required for subsequent steps in the program. Thus, the MER1 splicing regulatory network mediates the dependent relationship between the UME6 and NDT80 transcriptional regulatory networks in the meiotic gene expression program. This study reveals how splicing regulatory networks can be interlaced with transcriptional regulatory networks in eukaryotic gene expression programs.