Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.07.02.662331

Analysis of a Rpb2 mutant in Schizosaccharomyces pombe reveals a non-canonical role for Elp1 in regulating RNAi-dependent heterochromatin assembly

Abstract

Heterochromatin is a repressive epigenetic state that suppresses transcription and safeguards genomic integrity. However, the full mechanism of how it is regulated remains elusive. Here, we focus on a previously described Pol II variant called rpb2-N44Y, which has a single substitution mutation within the Rpb2 subunit of Pol II that reduces RNAi-dependent heterochromatin. Through CRISPR-mediated site-directed mutagenesis, we find that rpb2-N44Y is a gain-of-function mutation. Furthermore, the heterochromatin defects of the rpb2-N44Y mutant requires a subunit of the Elongator complex called Elongator Protein 1 (Elp1), a protein that canonically promotes in mcm5s2U34 tRNA modifications. Intriguingly, we find that loss of Elp1, but not of other Elongator subunits such as Elp3, can robustly suppress heterochromatin defects in the rpb2-N44Y mutant. Elp1 acts independently of the mcm5s2 U34 tRNA modification to suppress RNAi-dependent heterochromatin at the pericentromere and the levels of small interfering RNAs (siRNAs) at affected heterochromatin. Overall, our study reveals two distinct Rpb2-centric pathways, via RNAi or Elp1, that can positively or negatively regulate heterochromatin, respectively. Furthermore, our findings reveal the first evidence of a chromatin function for Elp1 that is distinct from its canonical role in tRNA modifications. This work expands our understanding of how Elp1 can influence chromatin biology. Article summaryRNAi-dependent heterochromatin plays a key role in silencing gene expression from fission yeast to animals. However, it remains unclear what are all the factors that regulate this heterochromatin type. Here, the authors performed genetic interaction analyses to identify the conserved elp1 gene as having the potential to regulate RNAi-dependent heterochromatin. Furthermore, the authors devised a separation-of-function mutant to find that this chromatin function of elp1 is distinct from its canonical role in tRNA modifications. These findings expand our knowledge about the human disease-relevant elp1 gene beyond its well-known roles in the Elongator complex and in tRNA modifications.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Nirmal, M. B., Pearce, M. E., Liu, C. T., Finkel, J. M., Darrow, K. S., Vo, T. V.. 2025-07-05. Analysis of a Rpb2 mutant in Schizosaccharomyces pombe reveals a non-canonical role for Elp1 in regulating RNAi-dependent heterochromatin assembly. https://doi.org/10.1101/2025.07.02.662331

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Generation of a transgenic cephalopod

Coleoid cephalopods (cuttlefish, octopus, and squid) are marine mollusks with elaborate nervous systems that support a diverse repertoire of complex behaviors. These include the neural control of the color, pattern, and texture of the skin, facilitating both adaptive camouflage and innate patterning that may reflect internal state. The development of transgenic cephalopods expressing fluorescent proteins, optogenetic actuators, and reporters of neural activity would contribute a new and important technology to cephalopod biology. The generation of transgenic cephalopods, however, has remained a major challenge. Here, we report the development of stable transgenic dwarf cuttlefish (Ascarosepion bandense) expressing ubiquitous nuclear-localized mScarlet, a red fluorescent protein. We evaluated multiple strategies for transgenesis, and established cuttlefish lines using both CRISPR and the transposons Sleeping Beauty and Minos. The stable expression of transgenes enabled live imaging of cell dynamics during embryonic development. The Minos transposon emerged as the most efficient transgenesis strategy and is adaptable to promoters and transgenes of choice. These strategies now enable the generation of diverse genetic tools for mechanistic studies of cephalopod biology.

genetics↗

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗