Biology subjects

Yoshino, S.

Publications and source records attributed to Yoshino, S..

3 recordsLinked to original sources

bioRxiv2025

Candidatus Rickettsia mendelii has the smallest and most ancestral-like genome in the genus Rickettsia

Rickettsia species, which constitute obligate intracellular bacteria adapted to a host-dependent lifestyle, have traditionally been classified into four phylogenetic groups. However, the available genomes are biased toward the Typhus and Spotted Fever groups, with early-diverging Ancestral group (AG) lineages being underrepresented. Here, we isolated six Candidatus Rickettsia mendelii strains from Ixodes turdus ticks in Japan. We obtained their whole-genome sequences, including one closed genome, and found that they form a distinct lineage in the AG and have the smallest genome among the known rickettsial species. Gene tree-aware reconstruction of evolutionary events using amalgamated likelihood estimation revealed that the last common ancestor of Rickettsia had a smaller gene family size than modern species do, and Ca. R. mendelii retains the most similar genomic content to this ancestral state. Various patterns of gene gain and loss among Rickettsia lineages were also suggested, highlighting their divergent evolutionary trajectories. These findings increase our understanding of Rickettsia genome evolution.

microbiology↗

bioRxiv2025

RNA Dynamics Regulate Transcriptional Condensate Vivacity to Drive Gene Coordination

Transcriptional condensates (TCs), enriched with Mediator, orchestrate super-enhancer (SE)-driven gene expression critical for cell identity. However, how their dynamic physical properties shape transcriptional activities remains unclear. Here, we reveal a previously unknown regulatory axis wherein dynamic features of enhancer RNA (eRNA), transcribed but rapidly degraded by the RNA exosome, maintain optimal TC fluidity and stability. Depletion of RNA exosome disrupts TC integrity, altering Mediator and Pol II colocalization, in embryonic stem cells. This TC perturbation attenuates proper transcriptional regulator loading and pause-release regulation, enhances transcriptional noise, and diminishes coordinated eRNA-mRNA expression for SE-associated genes. Multi-omics analyses, live-cell imaging, and computational modeling collectively demonstrate that RNA turnover modulates TC vivacity, facilitating widespread chromatin contacts between SE-containing active A compartments and coordinated transcriptional bursts across SE-associated genes. Our findings establish RNA-dependent condensate dynamics as an essential quality-control mechanism that fine-tunes global transcriptional coordination, maintaining cellular homeostasis and cell identity. HighlightsO_LIRNA exosome is required for the homeostasis of transcriptional condensates (TCs) C_LIO_LIRNA synthesis and decay optimize the fluidity and dynamic properties of TCs C_LIO_LITCs maintain the transcriptional consistency of super-enhancer (SE) genes C_LIO_LITCs support contacts of SE-containing A compartments for coordinated transcription C_LI

molecular biology↗

bioRxiv2024

Predicted constrained accessible regions mark regulatory elements and causal variants

Open chromatin regions (OCRs) define cell-type-specific regulatory elements across the genome, yet their functional significance varies, making it challenging to pinpoint biologically essential regions. Here, we introduce CAMBUS (Chromatin Accessibility Mutation Burden Score), a machine-learning framework that identifies active and evolutionarily constrained OCRs by leveraging surrounding DNA sequences. Applying CAMBUS to 29 immune cell types, we identified 66,043 constrained OCRs, which were substantially enriched in the known constraint genome (odds ratio=11.45 (95% confidence interval 9.33-14.05), P=4.7 x 10-68), while 90% of these OCRs were not prioritized by existing constraint metrics. These OCRs were highly enriched for known enhancers and super-enhancers, independent of known epigenetic markers and annotated regions, and overlapped with regulatory elements implicated in immune-mediated diseases and experimentally validated functional variants, including rare variants, particularly in leukocyte-related traits. Furthermore, CAMBUS revealed cell-type-specific transcriptional regulatory landscapes, linking genetic constraint with gene regulation in immune cells and identifying plausible connections between 1,533 causal variants and 70 complex traits. By defining biologically constrained regulatory elements at high resolution, CAMBUS provides a framework for understanding the selective pressures shaping the non-coding genome and its role in human health and disease.

genetics↗