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Unlabelled: Ciliates are a model lineage for studies of genome architecture given their unusual genome structures. All ciliates have both somatic macronuclei (MAC) and germline micronuclei (MIC), both of which develop from a zygotic nucleus following sex (i.e., conjugation). Nuclear developmental stages are not well documented among non-model ciliates, including (class Phyllopharyngea), the focus of our work. Here, we characterize nuclear architecture and genome dynamics in by combining 4',6-diamidino-2-phenylindole (DAPI) staining and fluorescence hybridization (FISH) techniques with confocal microscopy. We developed a telomere probe for staining, which alongside DAPI allows for the identification of fragmented somatic chromosomes among the total DNA in the nuclei. We quantify both total DNA and telomere-bound signals from more than 250 nuclei sampled from 116 individual cells, and analyze changes in DNA content and nuclear architecture across 's nuclear life cycle. Specifically, we find that MAC developmental stages in the ciliate are different from those reported from other ciliate species. These data provide insights into nuclear dynamics during development and enrich our understanding of genome evolution in non-model ciliates.
Importance: Ciliates are a clade of diverse single-celled eukaryotic microorganisms that contain at least one somatic macronucleus (MAC) and germline micronucleus (MIC) within each cell/organism. Ciliates rely on complex genome rearrangements to generate somatic genomes from a zygotic nucleus. However, the development of somatic nuclei has only been documented for a few model ciliate genera, including , , and . Here, we study the MAC developmental process in the non-model ciliate, . We analyze both total DNA and the generation of gene-sized somatic chromosomes using a laser scanning confocal microscope to describe 's nuclear life cycle. We show that DNA content changes dramatically during their life cycle and in a manner that differs from previous studies on model ciliates. Our study expands knowledge of genome dynamics in ciliates and among eukaryotes more broadly.
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http://dx.doi.org/10.1128/msphere.00075-25 | DOI Listing |
Nat Commun
September 2025
Life-Like Materials and Systems, University of Mainz, Mainz, Germany.
Nuclear biomolecular condensates are essential sub-compartments within the cell nucleus and play key roles in transcription and RNA processing. Bottom-up construction of nuclear architectures in synthetic settings is non-trivial but vital for understanding the mechanisms of condensates in real cellular systems. Here, we present a facile and versatile synthetic DNA protonucleus (PN) platform that facilitates localized transcription of branched RNA motifs with kissing loops (KLs) for subsequent condensation into complex condensate architectures.
View Article and Find Full Text PDFCharged hadron elliptic anisotropies (v_{2}) are presented over a wide transverse momentum (p_{T}) range for proton-lead (pPb) and lead-lead (PbPb) collisions at nucleon-nucleon center-of-mass energies of 8.16 and 5.02 TeV, respectively.
View Article and Find Full Text PDFMol Biol Cell
September 2025
Department of Life Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.
The ESCRT machinery mediates membrane remodeling in fundamental cellular processes including cytokinesis, endosomal sorting, nuclear envelope reformation, and membrane repair. Membrane constriction and scission is driven by the filament-forming ESCRT-III complex and the AAA-ATPase VPS4. While ESCRT-III-driven membrane scission is generally established, the mechanisms governing the assembly and coordination of its twelve mammalian isoforms in cells remain poorly understood.
View Article and Find Full Text PDFJ Chem Theory Comput
September 2025
Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China.
Coarse-grained (CG) lipid models enable efficient simulations of large-scale membrane events. However, achieving both speed and atomic-level accuracy remains challenging. Graph neural networks (GNNs) trained on all-atom (AA) simulations can serve as CG force fields, which have demonstrated success in CG simulations of proteins.
View Article and Find Full Text PDFG3 (Bethesda)
September 2025
INRAE, UR629 URFM, Ecologie des Forêts Méditerranéennes, Site Agroparc, Domaine Saint Paul, F-84914 Avignon Cedex 9, France.
Symphonia globulifera (Clusiaceae) has emerged as a model organism in tropical forest ecology and evolution due to its significant ecological role and complex biogeographical history. Originating from Africa, this species has independently colonized Caribbean, Central and South America three times, becoming a key component of tropical ecosystems across these regions. Despite the ecological importance of S.
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