bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.01.24.634581

Genome-wide exploration of the transcriptional regulatory landscape in the early-diverging fungus R. microsporus reveals pervasive DNA methyl adenine regulatory network

Abstract

Genetic regulation mechanisms rely on complex transcriptional networks that are often difficult to decipher. The study of transcription factor (TF) binding sites and their targets has traditionally faced scalability challenges, hindering comprehensive cistrome analyses. However, the development of the DNA affinity purification and sequencing (DAP-seq) technique has allowed unprecedented large-scale studies at genome-wide level of TF binding with high reproducibility. In this study, we apply this technique to the human opportunistic pathogen R. microsporus, a mucoralean fungus belonging to the understudied group of early-diverging fungi (EDF). We characterize genome-wide binding sites of 58 TFs encoded by genes regulated through adenine methylation and representing major TF families, representing the most extensive DAP-seq study in filamentous fungi. This analysis reveals their binding profiles and recognized sequences, expanding and diversifying the catalog of known fungal motifs. By integrating this data with DNA 6-methyladenine profiling, we uncover the extensive direct and indirect impact of this epigenetic modification on the regulation of gene expression. Furthermore, the generated data facilitates the identification and functional characterization of TFs involved in biologically relevant processes, such as zinc metabolism and light response, serving as a proof of concept for the utility of the DAP-seq data. These findings not only enhance our understanding of regulatory mechanisms in R. microsporus but also provide broader insights into gene regulation across the fungal kingdom.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lax, C., Baumgart, L. A., Tahiri, G., Nicolas-Munoz, N., Zhang, Y., Blaby, I. K., O'Malley, R. C., Ng, V., Navarro, E., Grigoriev, I. V., Nicolas, F. E., Garre, V.. 2025-01-27. Genome-wide exploration of the transcriptional regulatory landscape in the early-diverging fungus R. microsporus reveals pervasive DNA methyl adenine regulatory network. https://doi.org/10.1101/2025.01.24.634581

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↗