Biology subjects

Yoshida, R.

Publications and source records attributed to Yoshida, R..

10 recordsLinked to original sources

bioRxiv2026

A conserved oscillatory system that positions the divisome in Archaea

Precise placement of the cell division machinery is essential for cell division in most organisms, yet the mechanisms responsible for this process vary substantially across the domains of life. In Eukaryotes, cell division is primarily driven by ESCRT-based systems, while many Bacteria rely on the Min system to ensure accurate positioning of the division septum. By contrast, the mechanisms by which Archaea spatially regulate divisome assembly remain largely unknown. Here, we identify a three-protein system, which we term divisome positioning proteins A, B and C (DipA, DipB and DipC) that is essential for correct divisome positioning in Haloferax volcanii. Deletion of any dip gene results in mislocalization of cell division proteins and the formation of abundant minicells, similar to Min defects in bacteria. Furthermore, we show that all three Dip proteins undergo pole-to-pole oscillation, and that DipB and DipC assemble into ring-like structures at midcell. Biochemical analyses demonstrate that DipA is a membrane binding GTPase whose association with the membrane is disrupted by DipB. Notably, Dip homologues are widely conserved across diverse archaeal lineages that employ FtsZ-based division, indicating that the Dip system is a broadly distributed key regulator of FtsZ-based cell division in Archaea. Despite its striking functional similarities to the bacterial Min system, the Dip system is entirely unrelated at the sequence level, representing a compelling example of convergent evolution of oscillatory spatial regulators in distinct domains of life.

microbiology↗

bioRxiv2026

Establishing genetically controlled, closed 1 colonies of an ascidian

Recent technological advances have made many "non-model" organisms accessible for experimental studies. However, reference inbred strains were not necessarily available, especially in marine invertebrates, and genetic background of organisms used for experiments are often non-uniform. This situation potentially affects experimental reproducibility. Although ascidians, Ciona intestinalis (type A, or C. robusta), are a widely used marine animal for many areas of experimental biology including developmental studies, no reference strains have been obtained despite extensive efforts. As an alternative way to improve reproducibility, we have established and maintained ascidian colonies through intra-population breeding every year from 2016 to 2020, and monitored genomic variants of these colonies. This method does not reduce genetic variations but instead manages and monitors genetic variations in the colonies, providing an easy and cost-effective way of increasing experimental reproducibility. Furthermore, we recently upgraded these genetically isolated, closed colonies that were re-established every year, and have maintained them for more than three years only through intra-population breeding and occasional back-cross using cryopreserved sperm. Genetic variants that we revealed using 3.7 tera-bases of sequence data will help to design future experiments in this species. Our data also show that two wild-populations, which were used to establish the colonies, have maintained distinct genetic backgrounds, although their habitats are directly linked to the Pacific Ocean and only 170 km apart. More importantly, genetic information regarding these colonies will undoubtedly improve experimental reproducibility and traceability, and our method will provide a realistic solution for performing reproducible experiments using non-model organisms.

developmental biology↗

bioRxiv2025

Epigenetic-metabolic axis in the temporal scaling of mammalian cortical neurogenesis across species

Developmental timescales vary widely across species, with mammalian cortical neurogenesis ranging from just days to several months. Given the conserved laminar architecture and regulatory gene expression sequences, the underlying molecular mechanisms controlling neurogenesis rate remain unknown. Using mouse, ferret, and human models, we combined comparative transcriptomics with mathematical modelling to identify conditions that scale temporal gene expression programs during neurogenesis. We show that H3K27me3-mediated repression is critical for maintaining species-specific neurogenesis timescales, and its ablation scales down neurogenesis duration. Furthermore, we identified the tricarboxylic-acid (TCA)-cycle metabolite -ketoglutarate as a modulator of developmental timing via H3K27me3 demethylation. Together, our findings link epigenetic and metabolic states to the control of species-specific developmental timescales and, ultimately, brain size.

developmental biology↗

bioRxiv2025

Dynamic DnaA-DnaB interactions at oriC coordinate the loading and coupled translocation of two DnaB helicases for bidirectional replication

Bidirectional replication is a conserved principle requiring the coordinated loading and activation of two replicative helicases at the origin. In Escherichia coli, the initiator protein DnaA constructs a higher-order initiation complex at the origin oriC which locally unwinds the DNA, and recruits DnaB helicase-DnaC loader complexes to the unwound region. We previously demonstrated that the two DnaA subcomplexes formed on oriC bind a specific DNA strand of the unwound origin, and tether individual DnaB-DnaC complexes via stable interactions between DnaA domain I and DnaB. A low-affinity DnaA-DnaB interaction mediated by DnaA domain III His136 is essential for DnaB-dependent origin unwinding. Here, we identified DnaB Thr86 as the critical residue mediating this low-affinity interaction. Structural modelling suggests that Thr86 is surface-exposed near the DNA entry site of DnaB. Functional analyses revealed that DnaB Thr86 was specifically required for DnaB loading onto the DnaA-bound strand of the unwound oriC. Furthermore, this strand-specific DnaB loading was required for enabling translocation of the opposing DnaB helicase loaded on the DnaA-free strand. Our findings define a novel regulatory mechanism of strand-specific helicase loading, mediated by the low-affinity DnaA-DnaB interactions, which ensures the coordinated loading and translocation of DnaB helicases for bidirectional replication from oriC.

molecular biology↗

bioRxiv2025

A neural circuit targeting technique for investigating functional input-output organization in the nervous system

Neurons communicate information across circuits and the function of cells in these circuits is determined by both the afferent inputs they receive and the efferent outputs they send to other brain regions1,2. To study the activity and function of specific neuronal populations, transneuronal anterograde3 and retrograde4-6 viral approaches have been employed to define neural circuit elements by inputs or outputs, respectively. However, what is missing is a way to study the function of neurons based on both their inputs and outputs. Applying a combination of multiple recombinases and transneuronal anterograde/retrograde viruses, we developed a technique called input-output Projection-based INtersectional Circuit-tagging Enabled by Recombinases (PINCER) to target specific neuronal cell types and investigate functional input-output organization in neural circuits. We show the logic and application of this technique with in vivo calcium imaging and optogenetic approaches to reveal the distinct functions and neural dynamics of connectivity defined neuronal populations in the amygdala for emotional processing. Specifically, PINCER allowed the parsing of valence and salience functions of the amygdala to reveal an input-output cell type selectively mediating aversive memory formation. This technique allows neuroscientists to identify novel subclasses of cells based on their combinatorial input-output anatomical connectivity, providing a tool for fine dissection of the functional properties of neural circuits.

neuroscience↗

bioRxiv2024

Primosomal protein PriC rescues replication initiation stress by bypassing the DnaA-DnaB interaction step for DnaB helicase loading at oriC

In Escherichia coli, replisome and replication fork assembly is initiated by DnaB helicase loading at the chromosomal origin oriC via its interactions with the DnaA initiator and the DnaC helicase loader. Upon replication fork arrest, the replisome including DnaB dissociates from the stalled fork. Replication fork progression is rescued by primosomal protein PriA- or PriC-dependent pathway in which PriA and PriC promote reloading of DnaB in different mechanisms. However, the mechanism responsible for rescue of blocked replication initiation at oriC remains unclear. Here, we found that PriC rescued blocked replication initiation in cells expressing an initiation-specific DnaC mutant, in mutant cells defective in DnaA-DnaB interactions, and in cells containing truncated oriC sequence variants. PriC rescued DnaB loading at oriC even in the absence of Rep helicase, a stimulator of the PriC-dependent replication fork restart pathway. These and results of in vitro reconstituted assays concordantly suggest that this initiation-specific rescue mechanism provides a bypass of the DnaA-DnaB interaction for DnaB loading by PriC-promoted loading of DnaB to the unwound oriC region. These findings expand understanding of mechanisms sustaining the robustness of replication initiation and specific roles for PriC in the genome maintenance.

microbiology↗

bioRxiv2024

CD34-positive monocytes are highly susceptible to HIV-1

HIV-1 persists in cellular reservoirs despite effective combined antiretroviral therapy (cART). CD4+ T cells are a well-known reservoir, but there is evidence suggesting that myeloid cells, including circulating monocytes, are also a clinically relevant reservoir. However, it is not fully understood which subsets of monocytes are preferentially infected in vivo. Here, we show that a monocyte fraction expressing a stem cell marker CD34 is more susceptible to HIV-1 infection than the CD34-negative major subset. In cART-untreated viremic individuals, the CD34+ fraction increased in the percentage in total monocytes, and harbored higher copies of proviral DNA than the major subset. Consistent with this, the CD34+ fraction expressed HIV-1 receptors CD4 and CCR5 at higher levels and HIV-1 restriction factors MX2 and SAMHD1 at lower levels. Interestingly, proviral DNA was still detectable in the CD34+ fraction of cART-treated virologically suppressed individuals. CD34+ monocytes were also present in lymph nodes, and expressed CD4 and CCR5 at higher levels than the major subset, as observed in peripheral blood. Moreover, CD34+ monocytes present in peripheral blood and lymph nodes highly expressed CCR7 and sphingosine-1-phosphate receptor 1 (S1PR1), critical regulators of in vivo cellular trafficking. Collectively, our findings raise the new possibility that lymph node CD34+ monocytes, which originate from the circulation, are infected with HIV-1 owing to their high susceptibility to HIV-1, and return to circulation, which explains the detection of proviral DNA in peripheral CD34+ monocytes even after long-term cART.

immunology↗

bioRxiv2022

Deducing ensemble dynamics and information flow from the whole-brain imaging data

Recent development of large-scale activity imaging of neuronal ensembles provides opportunities for understanding how activity patterns are generated in the brain and how information is transmitted between neurons or neuronal ensembles. However, methodologies for extracting the component properties that generate overall dynamics are still limited. In this study, the results of time-lapse 3D imaging (4D imaging) of head neurons of the nematode C. elegans were analyzed by hitherto unemployed methodologies. By combining time-delay embedding with independent component analysis, the whole-brain activities were decomposed to a small number of component dynamics. Results from multiple samples, where different subsets of neurons were observed, were further combined by matrix factorization, revealing common dynamics from neuronal activities that are apparently divergent across sampled animals. By this analysis, we could identify components that show common relationships across different samples and those that show relationships distinct between individual samples. We also constructed a network model building on time-lagged prediction models of synaptic communications. This was achieved by dimension reduction of 4D imaging data using the general framework gKDR (gradient kernel dimension reduction). The model is able to decompose basal dynamics of the network. We further extended the model by incorporating probabilistic distribution, resulting in models that we call gKDR-GMM and gKDR-GP. The models capture the overall relationships of neural activities and reproduce the stochastic but coordinated dynamics in the neural network simulation. By virtual manipulation of individual neurons and synaptic contacts in this model, information flow could be estimated from whole-brain imaging results.

neuroscience↗

bioRxiv2019

An annotation dataset facilitates automatic annotation of whole-brain activity imaging of C. elegans

Annotation of cell identity is an essential process in neuroscience that allows for comparing neural activities across different animals. In C. elegans, although unique identities have been assigned to all neurons, the number of annotatable neurons in an intact animal is limited in practice and comprehensive methods for cell annotation are required. Here we propose an efficient annotation method that can be integrated with the whole-brain imaging technique. We systematically identified neurons in the head region of 311 adult worms using 35 cell-specific promoters and created a dataset of the expression patterns and the positions of the neurons. The large positional variations illustrated the difficulty of the annotation task. We investigated multiple combinations of cell-specific promoters to tackle this problem. We also developed an automatic annotation method with human interaction functionality that facilitates annotation for whole-brain imaging.

neuroscience↗

bioRxiv2017

An ensemble learning approach to auto-annotation for whole-brain C. elegans imaging

Shifting from individual neuron analysis to whole-brain neural network analysis opens up new research opportunities for Caenorhabditis elegans (C. elegans). An automated data processing pipeline, including neuron detection, segmentation, tracking and annotation, will significantly improve the efficiency of analyzing whole-brain C. elegans imaging. The resulting large data sets may motivate new scientific discovery by exploiting many promising analysis tools for big data. In this study, we focus on the development of an automated annotation procedure. With only around 180 neurons in the central nervous system of a C. elegans, the annotation of each individual neuron still remains a major challenge because of the high density in space, similarity in neuron shape, unpredictable distortion of the worms head during motion, intrinsic variations during worm development, etc. We use an ensemble learning approach to achieve around 25% error for a test based on real experimental data. Also, we demonstrate the importance of exploring extra source of information for annotation other than the neuron positions.

bioinformatics↗