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PubMed2026

cPRC1.2 and CTCF-mediated transition from poised to active chromatin loops at bivalent genes.

Polycomb Repressive Complex 1 (PRC1) and CCCTC-binding factor (CTCF) are critical regulators of 3D chromatin architecture that influence cellular transcriptional programs. Although the role of CTCF in chromatin organization is well-known, the involvement of PRC1 is less understood. In this study, we identify an unexpected role for the canonical Pcgf2-containing PRC1 complex (cPRC1.2) in activating bivalent genes. Hi-C revealed that cPRC1.2 forms chromatin loops at bivalent promoters, rendering them poised for activation. Pcgf2 deletion disrupts cPRC1.2 loops and impairs the transcriptional induction of crucial target genes necessary for neuronal differentiation. Furthermore, we identify CTCF enrichment at cPRC1.2 loop anchors and at Polycomb group (PcG) bodies, suggesting that PRC1 and CTCF cooperatively regulate chromatin loops. Through virtual 4C and other genomic analyses, we discover that establishing neuronal progenitor cell (NPC) identity involves a switch from cPRC1.2-mediated chromatin loops to CTCF-mediated active loops. Our results suggest a novel mechanism by which pre-formed PRC1 loops at lineage-specific genes maintain a poised state for subsequent CTCF-mediated active loops and gene activation in cell fate transitions.

CCCTC-Binding Factor↗
PubMed2024

PRC1 and CTCF-Mediated Transition from Poised to Active Chromatin Loops Drives Bivalent Gene Activation.

Polycomb Repressive Complex 1 (PRC1) and CCCTC-binding factor (CTCF) are critical regulators of 3D chromatin architecture that influence cellular transcriptional programs. Spatial chromatin structures comprise conserved compartments, topologically associating domains (TADs), and dynamic, cell-type-specific chromatin loops. Although the role of CTCF in chromatin organization is well-known, the involvement of PRC1 is less understood. In this study, we identified an unexpected, essential role for the canonical Pcgf2-containing PRC1 complex (cPRC1.2), a known transcriptional repressor, in activating bivalent genes during differentiation. Our Hi-C analysis revealed that cPRC1.2 forms chromatin loops at bivalent promoters, rendering them silent yet poised for activation. Using mouse embryonic stem cells (ESCs) with CRISPR/Cas9-mediated gene editing, we found that the loss of Pcgf2, though not affecting the global level of H2AK119ub1, disrupts these cPRC1.2 loops in ESCs and impairs the transcriptional induction of crucial target genes necessary for neuronal differentiation. Furthermore, we identified CTCF enrichment at cPRC1.2 loop anchors and at Polycomb group (PcG) bodies, nuclear foci with concentrated PRC1 and its tethered chromatin domains, suggesting that PRC1 and CTCF cooperatively shape chromatin loop structures. Through virtual 4C and other genomic analyses, we discovered that establishing neuronal progenitor cell (NPC) identity involves a switch from cPRC1.2-mediated chromatin loops to CTCF-mediated active loops, enabling the expression of critical lineage-specific factors. This study uncovers a novel mechanism by which pre-formed PRC1 and CTCF loops at lineage-specific genes maintain a poised state for subsequent gene activation, advancing our understanding of the role of chromatin architecture in controlling cell fate transitions.

Journal Article↗
PubMed2025

Nucleosome stability safeguards cell identity, stress resilience and healthy aging.

Nucleosomes are the minimal repeating units of chromatin. Their dynamic assembly and disassembly underpins chromatin organization and genome regulation. However, it remains unclear how intrinsic nucleosome stability contributes to higher-level yet fundamental cellular and organismal properties-such as preservation of cell identity, lineage specification, stress resilience and ultimately healthy aging. To address this, we tested the impact of decreased intrinsic nucleosome stability across multiple cell, tissue and organismal models by introducing histone mutants that weaken histone-histone interactions. While nucleosome instability did not broadly alter global chromatin accessibility, DNA damage, cell proliferation or viability, it impaired lineage-specific gene expression programs, altered lineage specification and activated intrinsic inflammatory and stress pathways in a manner reminiscent of aging in mouse tissues and human cells. Consistently, nucleosome instability accelerated the onset of age-associated transcriptional alterations and functional decline in Caenorhabditis elegans and Drosophila melanogaster, and reduced cellular resilience to exogenous perturbations-including environmental, epigenetic and mitotic stress-in human cells and Saccharomyces cerevisiae. These cross-species findings identify nucleosome stability as an evolutionarily conserved epigenetic safeguard that preserves cell identity and stress resilience and supports organismal function and healthy aging.

Journal Article↗
PubMed2026

Integrated histone and proteome analyses reveal convergent and distinct hepatotoxic mechanisms of tenuazonic acid and deoxynivalenol.

Mycotoxins are widespread dietary contaminants whose health impacts are expected to intensify under climate change. Although their mechanisms of toxicity remain incompletely understood, epigenetic dysregulation has been increasingly implicated. Here, mass spectrometry-based multi-omics was used to profile histone post-translational modifications and proteome dynamics in HepG2 cells exposed to seven mycotoxin conditions. Time-resolved analyses identified tenuazonic acid as the dominant cellular disruptor, inducing alterations in H3K27 and H1 variants, and revealing a previously unrecognized oxidative modification of the H1.0 N-terminal methionine (H1.0N-term0AcM0Ox) that retains the protein's N-terminal acetylation. An Alternaria toxin mixture induced similar H1 responses, largely driven by tenuazonic acid, while deoxynivalenol produced convergent chromatin and proteomic alterations. Proteomic remodeling was characterized by increased protein translation, reduced mitochondrial complex IV expression, and impaired cholesterol biosynthesis, whereas sterigmatocystin activated DNA replication and repair pathways. Together, these findings demonstrate that mycotoxins disrupt chromatin organization, protein synthesis, and lipid metabolism, providing toxicological insight into hepatocellular dysfunction. These findings warrant further validation and mechanistic investigation in future hypothesis-driven studies of mycotoxin exposure.

Trichothecenes↗
PubMed2026

MacroH2A2-Enriched Domains Are Largely Stable Across the Cell Cycle but Focally Displaced at Mitotic Regulatory Elements.

The macroH2A variants mH2A1 and mH2A2 are structurally similar but not identical. Our previous study demonstrated that mH2A1 is reloaded during cell-cycle progression, but whether mH2A2 follows similar dynamics has remained unclear. Here, we used native ChIP-seq in synchronized Huh-7 cells to profile both variants at G1/S and G2/M. Although mH2A1- and mH2A2-enriched domains overlapped extensively, mH2A2 domains were largely stable across the cell cycle, in sharp contrast to the dynamic reloading of mH2A1. Only a small subset of mH2A2 domains showed phase-specific deposition or displacement. Among these, G1/S-unique mH2A2 domains were preferentially located in the active A compartment and coincided with reduced chromatin accessibility at binding sites for cell-cycle regulators. These G1/S-unique domains co-localize with genes involved in mitotic progression within the same A compartment, suggesting potential regulatory roles in both chromatin organization and transcriptional regulation. These findings refine the classical view of macroH2A variants as static repressive marks: mH2A2 is not entirely static, but its cell-cycle dynamics are far more restricted than those of its paralog mH2A1, occurring only at a small subset of genomic loci, with a regulatory logic distinct from that of mH2A1.

Histones↗
PubMed2026

Mutation accumulation in a hybrid parthenogenetic vertebrate.

Asexual lineages are thought to experience elevated extinction rates compared with sexual species, yet direct evidence for the underlying genetic causes remains scarce. Muller's ratchet predicts that the absence of recombination in asexual organisms facilitates the accumulation of deleterious mutations, thereby reducing long-term fitness. Here, we test this hypothesis in the hybrid-origin, parthenogenetic whiptail lizard Aspidoscelis tesselatus by integrating short-read RNAseq and long-read IsoSeq data from both the asexual lineage and its parental sexual species. We reconstructed phased transcripts for A. tesselatus to quantify mutation accumulation relative to the parental sexual species. Comparative analyses revealed elevated ω ratios in both parental genomic complements (subgenomes) of the parthenogenetic lineage, consistent with accelerated accumulation of nonsynonymous mutations. Structural variant analyses identified multiple indels in expressed transcripts predicted to disrupt protein domains. Functional annotation indicated that genes affected by both single-nucleotide variants and indels were enriched for roles in chromatin organization, apoptosis regulation, and transcriptional control. While both parental subgenomes showed similar evolutionary patterns, the maternal complement exhibited more structural and missense mutations than the paternal complement. Together, these results provide evidence that mutations accumulate in asexual A. tesselatus in genes involved in core cellular functions, supporting theoretical predictions that Muller's ratchet contributes to mutation accumulation in asexual lineages.

Animals↗
PubMed2026

The Rise of Plant Pan-Genomes: From Genome Variation to Predictive Breeding.

Plant pan-genomics is entering a new phase beyond genome variation discovery, requiring a shift from cataloguing genomic diversity toward understanding how variation generates biological function and breeding value. Here, we propose that the future of plant pan-genomics will be shaped by three conceptual transitions. First, structural variation (SV), presence-absence variation (PAV), and haplotype diversity should be interpreted not merely as genomic differences, but as regulatory components that influence gene networks, chromatin organization, and complex traits. Second, the expansion from species-level pan-genomes to genus-level super pan-genomes provides an evolutionary framework for uncovering adaptive genetic modules preserved in wild relatives and overlooked during domestication. Third, integrating pan-genomes with pan-omics, three-dimensional genome analyses, and artificial intelligence will enable the transformation of genomic variation into predictive models for crop improvement. We further propose that the ultimate value of pan-genomes lies not in generating increasingly complete genome collections, but in establishing a mechanistic bridge between genome diversity, biological function, and breeding decisions. This transition will move crop improvement from empirical selection toward rational genome design, where evolutionary diversity can be systematically interpreted, predicted, and engineered.

Journal Article↗
PubMed2025

EBV Latency Programs: Molecular and Epigenetic Regulation and Its Role in Disease Pathogenesis.

Epstein-Barr virus (EBV) asymptomatically infects over 95% of the global population, and poses a great threat to human health. This review summarizes the complex mechanisms underlying EBV latency programs and their roles in both viral persistence and disease development. We comprehensively analyze the four distinct latency programs (0, I, II, and III) and their associated gene expression patterns, with particular emphasis on the key viral proteins, the Epstein-Barr virus nuclear antigen EBNA1, EBNA2, EBNA3A/B/C, LMP1, and LMP2A/B. The review explores how these latency programs contribute to various EBV-associated malignancies and autoimmune conditions, including Burkitt lymphoma, Hodgkin lymphoma, nasopharyngeal carcinoma, and multiple sclerosis. We detail the multilayered regulation of EBV latency, encompassing epigenetic modifications, chromatin organization, and long-range genomic interactions. Recent advances in understanding the molecular mechanisms of EBV latency maintenance and the virus's interaction with host cellular machinery provide new insights into potential therapeutic approaches for EBV-associated diseases.

Humans↗
PubMed2025

Unraveling Plant Nuclear Envelope Composition Using Proximity Labeling Proteomics.

The nuclear envelope (NE) defines the eukaryotic cell and functions in a myriad of fundamental cellular processes including but not limited to signal transduction, lipid metabolism, chromatin organization, and nucleocytoplasmic transportation. Although the general structure of the NE is well-conserved across eukaryotic kingdoms, its composition and functions vary substantially between species and remain largely unknown in plants. In this chapter, we describe a proximity-labeling-based proteomic approach to profile novel NE components in the model organism Arabidopsis. This method is generally suitable for the identification of protein components in subcellular compartments or protein complexes that are poorly accessible to traditional mass spectrometry approaches and can be easily applied to other plant species. In addition to giving a step-by-step detailed description of the proximity labeling proteomics procedure in plant samples, we also provide guidelines on the appropriate use of controls and statistical analysis to achieve a highly specific selection of probed candidates.

Proteomics↗
PubMed2026

Participation of the purinergic P2X7 receptor in molecular complexes in the nucleus of human chondrocytes.

In addition to the purinergic receptor P2X7R's known activity as a sensor of damage-associated molecular patterns (DAMPs), evidences support its role in maintaining tissue homeostasis. Its presence in cellular compartments other than its usual transmembrane localization suggests its involvement in specific signaling pathways. This study aimed to analyze P2X7R in the nucleus of human chondrocytes and search for potential interacting partners. Through co-immunoprecipitation and proximity ligation assay we discovered that, independent of extracellular ATP levels, P2X7R is abundantly present in both the nuclear membrane and in the nucleoplasm, where it is found in close proximity to lamin A/C (a component of the nuclear lamina), emerin (a protein involved in the assembly and disassembly of the nuclear envelope), and SUN2 (an inner nuclear membrane protein that facilitates the transmission of mechanical forces). Furthermore, chromatin immunoprecipitation revealed the participation of P2X7R in molecular complexes located in the promoter of specific genes including Sox9, TRPS1, FOXO3a, integrin β2 and connective tissue growth factor. Overall, this evidence reveals for the first time novel partners of P2X7R that place it in an intricate network that influences nuclear structure, mechanosensitivity, chromatin organization, and gene expression. Specifically, on the one hand, a close association between P2X7R and nuclear proteins participating in the LINC (Linker of Nucleoskeleton and Cytoskeleton) complex (lamin A/C, emerin, and SUN2) places it among the factors involved in mechanosignaling and the maintenance of nuclear integrity; on the other, its recruitment to specific gene promoters suggests that it may act as a transcription regulator.

Humans↗
PubMed2026

Integrative quantum and systems biology of cancer: From molecular fluctuations to ecological outcomes.

This review treats cancer as a multiscale adaptive system, asks what the framework must predict to be worth adopting, and separates at each scale what the evidence establishes from what is proposed. It is an expert narrative synthesis, not a systematic review, and states the limits of that design. Proton transfer and tautomeric shifts contribute to spontaneous mispairing but do not license claims of directed or non-random mutation: replication timing, three-dimensional chromatin organization, sequence context and known mutagenic processes explain most mutational heterogeneity, leaving any quantum contribution as a residual against that baseline. The Waddington quasi-potential is bounded: outside detailed balance the dynamics are not gradient-derivable and require a probability-flux term. Hysteresis, rate-limited bimodality and return to state after perturbation distinguish an attractor from a transcriptomic cluster. Single-cell karyotype and live-imaging evidence supports whole-genome doubling as an unstable intermediate of heterogeneous origin and context-dependent consequence, not a uniform adaptive strategy. Systems and synthetic biology, virtual cells and digital twins are assessed against benchmarks, not promise. Tissue-scale ecology is reported with the spatial measurements now quantifying it, including evidence that stromal niche construction is not uniformly tumor-supporting. RNA modification is a layer in its own right, showing that the interpretation of a regulatory signal, not its magnitude, is biologically decisive. A dedicated section states the framework's commitments, the observable and evidence at each scale, and what would falsify them, asking what this adds to somatic mutation theory with clonal evolution and plasticity.

Neoplasms↗
PubMed2026

Genome-wide chromatin recording resolves dynamic cell state changes.

Understanding how the chromatin state of a cell influences its future behavior is a major challenge throughout biology. However, most chromatin profiling methods are limited to endpoint assays. Here, we present LagTag, a method for recovery of earlier and endpoint chromatin states in the same mammalian cells. In this approach, transient activity of bacterial adenine methyltransferase fusions records the DNA-binding profiles of chromatin-associated proteins of interest at earlier time points. Subsequent tagmentation and sequencing recover the earlier chromatin profile from adenine methylation profiles, alongside endpoint profiles of endogenous chromatin-associated proteins. We verified that LagTag profiles aligned with those from established methods in mouse and human cells. We then applied LagTag to record and recover dynamic chromatin state transitions during mouse embryonic stem cell differentiation, capturing transcriptional signatures from pre- and post-differentiation time points within the same cell population. LagTag thus provides a foundation for temporally resolved chromatin profiling. A record of this paper's transparent peer review process is included in the supplemental information.

chromatin organization↗
PubMed2026

Micropeptides encoded by lncRNAs associated with cancer progression reveal novel immunogenic epitopes.

MOTIVATION: Long non-coding RNAs (lncRNAs) regulate gene expression, chromatin organization, and cellular signaling. Recent studies indicate that ∼20% of the ∼36 000 human lncRNA genes harbor small open reading frames (sORFs) capable of producing micropeptides (MPs), whose functions remain largely unknown. Whether these peptides contribute to the cancer immunopeptidome is largely unexplored. RESULTS: We systematically analyzed lncRNAs with strong experimental and computational evidence of MP-encoding potential (∼13% of the initial MP collection). Using The Cancer Genome Atlas (TCGA), we identified 2606 high-confidence lncRNA-derived MPs encoded by 647 genes across 16 cancer types. We then focused on 501 MPs from 124 lncRNA genes whose expression changes significantly across tumor stages and metastatic transitions, representing cancer transitional lncRNAs (Tr-lncRNAs). Dipeptide composition and conservation analyses showed that these MPs differ from a size-matched human coding proteome, supporting their potential as neoantigens. All possible 9-mer peptides were evaluated for predicted binding to prevalent European HLA class I alleles. Approximately 60% of Tr-lncRNA genes and 184 (37%) of derived peptides exhibited strong predicted HLA binding. Peptides from XIST, PCAT7, PVT1, HAND2-AS1 showed broad HLA coverage. Notably, TTN-AS1, encoded an MP (79 aa) generated 33 predicted distinct epitopes spanning all 27 HLA alleles. Our analysis identifies lncRNA-derived MPs as a previously underexplored source of potential cancer neoantigens, highlighting their promise as biomarkers and targets for immunotherapy. AVAILABILITY: Data, code and supplementary materials are available in https://doi.org/10.5281/zenodo.20167452 and GitHub: https://github.com/stavzok1/lncrna_peptide_analysis.

Humans↗
PubMed2026

DBP-CanPred: a machine learning model for predicting cancer-causing mutations in DNA-binding proteins.

INTRODUCTION: The fundamental cellular processes, including transcriptional regulation, chromatin organization, and genome maintenance, are regulated by DNA-binding proteins (DBPs). Mutations in DBPs can alter protein-DNA interactions, leading to tumor development. However, identifying such driver mutations remains a major challenge due to limitations of experimental approaches. METHODS: We have trained a machine learning model, DBP-CanPred, to identify driver mutations in DBPs. We used the sequence-derived evolutionary features, as well as structure-based features such as mutation-perturbed structural descriptors. RESULTS: We evaluated DBP-CanPred using a curated test set, achieving an AU-ROC of 0.86 and a balanced accuracy of 0.79. Further analysis based on substitution-type showed consistent performance across different categories, especially higher performance on charged residues. In addition, we applied the model on an independent dataset and identified potential driver mutations with high confidence scores. DISCUSSION: The study contributes to understanding mutation patterns in DNA-binding proteins and supports variant interpretation in cancer research.

DNA-binding proteins↗
PubMed2026

Epigenetic profiling of circulating cell-free DNA for early detection and minimal residual disease assessment in lung cancer: a focus on DNA methylation.

Lung Cancer (LC) continues to be the biggest cause of cancer-related deaths around the world, mostly because of delayed diagnosis. Even if tissue biopsies and circulating tumor DNA (ctDNA) tests have revolutionized clinical management of LC patients, their effectiveness is restricted in settings with lower tumor burden, molecular heterogeneity, and bias in sampling approaches. In this scenario, the epigenetic profiling of cell-free DNA (cfDNA) stands out as a promising, less invasive approach, accurately detect cancer traces. Evidence from stage I-II disease and CT-detected pulmonary nodules supports the diagnostic potential of cfDNA methylation, although further validation in prospective screening cohorts remains necessary. Beyond genomic alterations, cfDNA epigenetic changes, including DNA methylation, chromatin organization, nucleosome positioning, and fragmentation patterns, reflect multi-dimensional complexity of tumor biology. These properties convey both the functional status and the origin of the circulating DNA fragments, accelerating for tumor integrating genomic analysis. Within this group, DNA methylation is the biologically robust and clinically well-established epigenetic marker, as alterations in methylation linked to cancer often occur in the early stages of tumorigenesis and are commonly found across different cancer cell types. Here, we explored the biological and clinical relevance of the epigenetic landscape of cfDNA in LC patients, particularly focusing on DNA methylation-based biomarkers and their evolving applications towards early diagnosis and post-surgical monitoring of minimal residual disease (MRD). We aimed to comprehensively overview analytical approaches for cfDNA methylation analysis, including targeted and genome-wide profiling strategies, and discuss their integration with machine learning (ML) and multi-omics frameworks in order to improve diagnostic performance and clinical applicability in LC management.

DNA methylation↗
PubMed2026

One chromatin, many structures: From ensemble contact maps to single-cell 3D organization.

Understanding how chromatin folds in three dimensions remains challenging because most experimental assays capture low-dimensional projections of an underlying, highly heterogeneous polymer. Here, we present an ensemble-based interpretive framework built on the previously introduced Self-Returning Excluded Volume (SR-EV) model, a minimal generator of chromatin conformations using a nucleosome-indexed coarse-grained representation based on stochastic return rules and excluded-volume geometry. Despite its simplicity, SR-EV recapitulates key experimental signatures across scales: heterogeneous nanoscale packing domains resembling ChromEMT and ChromSTEM observations, sparse and highly variable single-configuration contact patterns analogous to single-cell chromosome conformation capture (Hi-C), and robust ensemble-level contact enrichment consistent with topologically associating domains (TADs). In this framework, Hi-C loop and TAD signatures are interpreted as ensemble-level statistical enrichments rather than invariant features of single-cell conformations. SR-EV is explicitly designed to generate large ensembles of complete three-dimensional chromatin configurations that can be projected consistently onto two-dimensional contact maps and one-dimensional genomic profiles. By introducing architectural-protein effects only through ensemble selection rather than explicit forces, SR-EV supports a separation between intrinsic polymer geometry and regulatory bias and suggests that TAD-like features can emerge as statistical enrichments rather than deterministic three-dimensional structures. Coordination number and probe-based accessibility computed directly from SR-EV provide a unified link between three-dimensional packing, two-dimensional contact maps, and one-dimensional genomic profiles. The main contribution of this work is to show, within a single coarse-grained framework, how these multimodal observables arise as linked projections of the same heterogeneous chromatin ensemble through averaging and conditional sampling. Together, these results establish SR-EV as a minimal and geometrically grounded mesoscale reference framework for interpreting how heterogeneous chromatin ensembles give rise to multimodal experimental observables while remaining consistent with the fact that chromatin organization is realized in individual cells.

Chromatin↗
PubMed2026

A Translocation within the Ogataea Species Complex Alters Local Subtelomeric Chromatin while Maintaining Overall Genome Organization.

Eukaryotic genomic DNA is packaged in the nucleus as chromatin - a DNA-protein aggregate regulating genome function, including transcription. Chromatin is classified as either active euchromatin or silent heterochromatin, with each marked by distinct histone post-translational modifications (PTMs). Chromatin composition also mediates genome organization, including how heterochromatin aggregates at the nuclear periphery while euchromatin localizes to the nucleus center. In fungi, heterochromatic loci cluster, including independent centromere and telomere clusters that form the Rabl chromosome conformation. However, it is unknown if chromatin composition and genome organization are conserved in closely related fungi, and how they are impacted by large-scale chromosomal rearrangements. Here, we examined differences in histone PTM deposition, gene expression, and genome organization in two yeast species from the order Pichiales, which diverged from the common ancestor shared with Saccharomyces cerevisiae more than 200 million years ago. We focused on Ogataea polymorpha, which is used for industrial protein production, and Ogataea haglerorum, an isolate of which harbors a translocation between chromosomes 1 and 6. We show that the enrichment of three activating PTMs - the trimethylation of lysine 4 of histone H3 (H3K4me3) and the acetylation of lysine 9 of histone H3 (H3K9ac) or lysine 16 of histone H4 (H4K16ac) - are similar genome-wide yet individual gene orthologs have distinct chromatin and expression patterns. While both Ogataea genomes organize into a Rabl conformation, the O. haglerorum translocation alters subtelomeric chromatin composition and expression of genes affected by the translocation. Our work highlights the genome function differences that occur on a microevolutionary scale.

Ogataea↗
PubMed2026

A translocation within the Ogataea species complex alters local subtelomeric chromatin while maintaining overall genome organization.

Eukaryotic genomic DNA is packaged in the nucleus as chromatin-a DNA-protein aggregate regulating genome function, including transcription. Chromatin is classified as either active euchromatin or silent heterochromatin, with each marked by distinct histone post-translational modifications (PTMs). Chromatin composition also mediates genome organization, including how heterochromatin aggregates at the nuclear periphery while euchromatin localizes to the nucleus center. In fungi, heterochromatic loci cluster, including independent centromere and telomere clusters that form the Rabl chromosome conformation. However, it is unknown if chromatin composition and genome organization are conserved in closely related fungi, and how these features are impacted by large-scale chromosomal rearrangements. Here, we examined differences in histone PTM deposition, gene expression, and genome organization in 2 yeast species from the order Pichiales, which diverged from the common ancestor shared with Saccharomyces cerevisiae more than 200 million years ago. We focused on Ogataea polymorpha, which is used for industrial protein production, and Ogataea haglerorum, an isolate of which harbors a translocation between chromosomes 1 and 6. We show that the enrichment of 3 activating PTMs-the trimethylation of lysine 4 of histone H3 (H3K4me3) and the acetylation of lysine 9 of histone H3 (H3K9ac) or lysine 16 of histone H4 (H4K16ac)-are similar genome-wide, yet gene orthologs have distinct chromatin and expression patterns. While both Ogataea genomes organize into a Rabl conformation, the O. haglerorum translocation alters subtelomeric chromatin composition and expression of genes affected by the translocation. Our work highlights the genome function differences that occur on a microevolutionary scale.

Genome, Fungal↗