Biology subjects

Urayama, S.-i.

Publications and source records attributed to Urayama, S.-i..

11 recordsLinked to original sources

bioRxiv2026

Adolescent prodromal phenotypes of psychiatric disorders: insights from a novel DISC1-perturbed monkey model

Neurodevelopmental deficits frequently lead to mild but significant adolescent social and cognitive changes, representing prodromal manifestations of adult-onset psychiatric disorders in a cross-disease manner. Although experimental medicine utilizes animal models to address the mechanisms, rodent brains lack critical structures for human higher brain functions such as the dorsolateral prefrontal cortex. To fill this translational gap, we generated monkeys with an impaired DISC1 gene locus, targeting the multifunctional protein essential for neurodevelopment and involved in transdiagnostic mental health risks. Here we analyze the F0 animals by minimizing mosaicism. At ages equivalent to human adolescence, these monkeys exhibited blunted responsiveness to social stimuli and increased internal drives, mirroring altered social behaviors in the prodromal stage in humans. Resting-state functional MRI data indicated disrupted global functional connectivity and reorganization of network topology, marked by a shift in the dominance of brain hubs from prefrontal regions to sensory areas. This primate model provides a unique platform for studying psychiatric disorders, such as schizophrenia, across the developmental trajectory.

neuroscience↗

bioRxiv2025

Effects of Postmortem Intervals on Quantitative MRI in Unfixed and Fixed Swine Brain: Implications for Ex Vivo MRI Applications

PurposeThe postmortem interval (PMI) alters tissue properties that shape quantitative MRI (qMRI) signals. We systematically investigated the effects of PMI on relaxation times, depending on tissue characteristics, in both unfixed and fixed pig brains. MethodsTwelve pig brains (n = 12) were scanned in both unfixed and fixed states at three PMI windows ({approx}12, 24, 48 h). Quantitative T1, T2, and T2* maps were acquired with identical protocols at controlled room temperature ([~]24 {degrees}C). We assessed the PMI effects on relaxation times in the gray matter (GM) and the white matter (WM) at both group and sample levels, while fixation-induced effects and inter-sample variability were evaluated using pairwise rank correlation and coefficient of variation (CV) visualization. ResultsIn unfixed tissues, T1 significantly differed among PMI groups in GM (p = 0.0141) and WM (p = 0.0315) in the early window ([≤] 24 h). In the same window, PMI-T1 correlations were observed in both GM (r = 0.921, p = 0.007) and WM (r = 0.876, p = 0.013). T2 showed no group differences but exhibited an inverse correlation with PMI in WM (r = -0.849, p = 0.015). No significant PMI-T2* relationships were detected (all p > 0.05). At later PMI (20-50 h), PMI-qMRI correlations diminished. Fixation processes altered all qMRI parameters. Notably, the PMI effects on T1 in the unfixed brains were preserved even after fixation at an ordinal level, although fixation introduced substantial inter-sample variability. ConclusionsPMI exerts the most robust effects on T1. Fixation has a significant impact on qMRI values, mitigating the apparent PMI effect and increasing the inter-sample variability. However, it is still possible to retrieve the PMI effects from fixed brain at the level of rank order, providing practical guidance for further ex vivo qMRI studies on PMI.

bioengineering↗

bioRxiv2025

Identification of Obelisk-like covalently closed circular RNA replicon in hot springs by double-stranded RNA sequencing and expansion of the diversity of the Obelisk superfamily

Extensive metatranscriptome mining has recently vastly expanded the range of covalently closed circular (ccc) RNA replicons. A notable group of such replicons are Obelisks, cccRNAs of about 1 kilobase (kb) encoding a protein with a unique fold, Oblin-1, and detected in a broad variety of metatranscriptomes, in particular, those from the human gastrointestinal tract. We adopted Fragmented and primer-Ligated DsRNA Sequencing (FLDS) method to selectively sequence double-stranded (ds) RNAs, the replicative intermediates of RNA replicons, and to identify cccRNAs among the resulting sequences. From these data, we selected cccRNAs with predicted extensive intramolecular base-pairing, a hallmark of viroid-like elements. ch We employed FLDS to explore metatranscriptomes from acidic hot springs in Japan and discovered a distinct family of Obelisks probably associated with thermoacidophilic bacteria (Hot spring Obelisks, HsObs). The proteins encoded by HsObs, HsOblins, show no significant sequence similarity to previously identified Oblin-1 proteins, but are predicted to adopt a closely similar structure. A comprehensive search of metagenomes for Oblin-1 and HsOblin homologs substantially expanded this family of Obelisk-encoded proteins revealing several distinct subfamilies that share the same core fold. A cccRNA encoding an HsOblin homolog was also detected in a Yellowstone hot spring metatranscriptome. Apart from Oblin-1, some subfamilies of Obelisks were predicted to encode additional small proteins with simple alpha-helical folds.

microbiology↗

bioRxiv2025

"Paraxenoviridae", a putative family of ubiquitous marine bacteriophages with double-stranded RNA genomes

Fragmented and primer Ligated DsRNA Sequencing (FLDS) was used to reconstruct five complete, bisegmented RNA genomes of paraxenoviruses, a group of viruses that was previously identified in the ocean and that based on the analysis of partial genomes was proposed to represent a putative new phylum within the kingdom Orthornavirae of the realm Riboviria. Phylogenetic analysis of the RNA-directed RNA polymerases of paraxenoviruses demonstrated their affinity with the ribovirus order Durnavirales within the class Duplopiviricetes of the phylum Pisuviricota. The order Durnavirales includes families Cystoviridae that consists of well-characterized dsRNA bacteriophages and less thoroughly studied Picobirnaviridae that are also suspected to infect bacteria. Consistently, modeling and analysis of the structure of the predicted capsid protein (CP) of several paraxenoviruses revealed similarity to picobirnavirus CP although the paraxenovirus CP is much larger and contains unique structural elaborations. Taken together, these affinities suggest that paraxenoviruses represent a distinct family within Durnavirales, which we provisionally name "Paraxenoviridae". Both genomic segments in Picobirnaviridae and "Paraxenoviridae" encompass multiple open reading frames, each preceded by a typical bacterial ribosome-binding site, strongly suggesting that these families consist of bacterial viruses. Search for homologs of paraxenovirus genes shows widespread distribution of this virus group in the global ocean, suggesting a potential important contribution to marine microbial ecosystems. Our findings further expand the diversity and ecological role of the bacterial RNA virome, reveal extensive structural variability of RNA viral capsid proteins, and demonstrate the common ancestry of several distinct families of bacterial viruses with dsRNA genomes.

microbiology↗

bioRxiv2023

Distinct groups of RNA viruses associated with thermoacidophilic bacteria

Recent massive metatranscriptome mining substantially expanded the diversity of the bacterial RNA virome, suggesting that additional groups of riboviruses infecting bacterial hosts remain to be discovered. We employed full length double-stranded (ds) RNA sequencing for identification of riboviruses associated with microbial consortia dominated by bacteria and archaea in acidic hot springs in Japan. Whole sequences of two groups of multisegmented riboviruses genomes were obtained. One group, which we denoted hot spring riboviruses (HsRV), consists of unusual viruses with distinct RNA-dependent RNA polymerases (RdRPs) that seem to be intermediates between typical ribovirus RdRPs and viral reverse transcriptases. We also identified viruses encoding HsRV-like RdRPs in moderate aquatic environments, including marine water, river sediments and salt marsh, indicating that this previously overlooked ribovirus group is not restricted to the extreme ecosystem. The HsRV-like viruses are candidates for a distinct phylum or even kingdom within the viral realm Riboviria. The second group, denoted hot spring partiti-like viruses (HsPV), is a distinct branch within the family Partitiviridae. All genome segments in both these groups of viruses display the organization typical of bacterial riboviruses, where multiple open reading frames encoding individual proteins are preceded by ribosome-binding sites. Together with the identification in bacteria-dominated habitats, this genome architecture indicates that riboviruses of these distinct groups infect thermoacidophilic bacterial hosts.

microbiology↗

bioRxiv2022

NeoRdRp: A comprehensive dataset for identifying RNA-dependent RNA polymerase of various RNA viruses from metatranscriptomic data

RNA viruses are distributed throughout various environments, and most RNA viruses have recently been identified by metatranscriptome sequencing. However, due to the high nucleotide diversity of RNA viruses, it is still challenging to identify novel RNA viruses from metatranscriptome data. To overcome this issue, we created a dataset of RNA-dependent RNA polymerase (RdRp) domains that are essential for all RNA viruses belonging to Orthornavirae. Genes with RdRp domains from various RNA viruses were clustered based on their amino acid sequence similarity. For each cluster, a multiple sequence alignment was generated, and a hidden Markov model (HMM) profile was created if the number of sequences was greater than three. We further refined the 426 HMM profiles by detecting the RefSeq RNA virus sequences and subsequently combined the hit sequences with the RdRp domains. As a result, a total of 1,182 HMM profiles were generated from 12,502 RdRp domain sequences, and the dataset was named NeoRdRp. Almost all NeoRdRp HMM profiles successfully detected RdRp domains, specifically in the UniProt dataset. Furthermore, we compared the NeoRdRp dataset with two previously reported methods for RNA virus detection using metatranscriptome sequencing data. Our methods successfully identified most of the RNA viruses in the datasets; however, some RNA viruses were not detected, as in the cases of the other two methods. The NeoRdRp can be repeatedly improved by adding new RdRp sequences and is applicable as a system for detecting various RNA viruses from diverse metatranscriptome data.

microbiology↗

bioRxiv2021

Intimate genetic relationships and fungicide resistance in multiple strains of human pathogenic fungus Aspergillus fumigatus isolated from a plant bulb

Fungal infections are increasingly dangerous because of environmentally-dispersed resistance to antifungal drugs. Azoles are commonly used antifungal drugs, but they are also used as fungicides in agriculture, which may enable enrichment of azole-resistant strains of the human pathogen Aspergillus fumigatus in the environment. Understanding of environmental dissemination and enrichment of genetic variation associated with azole resistance in A. fumigatus is required to suppress resistant strains. Here, we focused on eight strains of azole-resistant A. fumigatus isolated from a single tulip bulb for sale in Japan. This set includes strains with TR34/L98H/T289A/I364V/G448S and TR46/Y121F/T289A/S363P/I364V/G448S mutations in the cyp51A gene, which showed higher tolerance to several azoles than strains harboring TR46/Y121F/T289A mutation. The strains were typed by microsatellite typing, single nucleotide polymorphism profiles, and mitochondrial and nuclear genome analyses. The strains grouped differently using each typing method, suggesting historical genetic recombination among the strains. Our data also revealed that some strains isolated from the tulip bulb showed tolerance to other classes of fungicide, such as QoI and carbendazim, followed by related amino acid alterations in the target proteins. Considering spatial-temporal factors, plant bulbs are an excellent environmental niche for fungal strains to encounter partners, and to obtain and spread resistance-associated mutations.

microbiology↗

bioRxiv2020

Discovery of divided RdRp sequences and a hitherto unknown genomic complexity in fungal viruses

By identifying variations in viral RNA genomes, cutting-edge metagenome technology has potential to reshape current concepts about the evolution of RNA viruses. This technology, however, cannot process low-homology genomic regions properly, leaving the true diversity of RNA viruses unappreciated. To overcome this technological limitation we applied an advanced method, Fragmented and Primer-Ligated Double-stranded (ds) RNA Sequencing (FLDS), to screen RNA viruses from 155 fungal isolates, which allowed us to obtain complete viral genomes in a homology-independent manner. We created a high-quality catalog of 19 RNA viruses (12 viral species) that infect Aspergillus isolates. Among them, nine viruses were not detectable by the conventional methodology involving agarose gel electrophoresis of dsRNA, a hallmark of RNA virus infections. Segmented genome structures were determined in 42% of the viruses. Some RNA viruses had novel genome architectures; one contained a dual methyltransferase domain and another had a separated RNA-dependent RNA polymerase (RdRp) gene. A virus from a different fungal taxon (Pyricularia) had an RdRp sequence that was separated on different segments, suggesting that a divided RdRp is widely present among fungal viruses, despite the belief that all RNA viruses encode RdRp as a single gene. These findings illustrate the previously hidden diversity and evolution of RNA viruses, and prompt reconsideration of the structural plasticity of RdRp. By highlighting the limitations of conventional surveillance methods for RNA viruses, we showcase the potential of FLDS technology to broaden current knowledge about these viruses. Author SummaryThe development of RNA-seq technology has facilitated the discovery of RNA viruses in all types of biological samples. However, it is technically difficult to detect highly novel viruses using RNA-seq. We successfully reconstructed the genomes of multiple novel fungal RNA viruses by screening host fungi using a new technology, FLDS. Surprisingly, we identified two viral species whose RNA-dependent RNA polymerase (RdRp) proteins were separately encoded on different genome segments, overturning the commonly accepted view of the positional unity of RdRp proteins in viral genomes. This new perspective on divided RdRp proteins should hasten the discovery of viruses with unique RdRp structures that have been overlooked, and further advance current knowledge and understanding of the diversity and evolution of RNA viruses.

microbiology↗

bioRxiv2020

Comparative genome and transcriptome analyses revealing interspecies variations in the expression of fungal biosynthetic gene clusters

Filamentous fungi produce various bioactive compounds that are biosynthesized by a set of proteins encoded in biosynthetic gene clusters (BGCs). For an unknown reason, large parts of the BGCs are transcriptionally silent under laboratory conditions, which has hampered the discovery of novel fungal compounds. The transcriptional regulation of fungal secondary metabolism is not fully understood from an evolutionary viewpoint. To address this issue, we conducted comparative genomic and transcriptomic analyses using five closely related species of the Aspergillus section Fumigati: Aspergillus fumigatus, Aspergillus lentulus, Aspergillus udagawae, Aspergillus pseudoviridinutans, and Neosartorya fischeri. From their genomes, 298 secondary metabolite (SM) core genes were identified, with 27.4% to 41.5% being unique to a species. Compared with the species-specific genes, a set of section-conserved SM core genes was expressed at a higher rate and greater magnitude, suggesting that their expression tendency is correlated with the BGC distribution pattern. However, the section-conserved BGCs showed diverse expression patterns across the Fumigati species. Thus, not all common BGCs across species appear to be regulated in an identical manner. A consensus motif was sought in the promoter region of each gene in the 15 section-conserved BGCs among the Fumigati species. A conserved motif was detected in only two BGCs including the gli cluster. The comparative transcriptomic and in silico analyses provided insights into how the fungal SM gene cluster diversified at a transcriptional level, in addition to genomic rearrangements and cluster gains and losses. This information increases our understanding of the evolutionary processes associated with fungal secondary metabolism. Author summaryFilamentous fungi provide a wide variety of bioactive compounds that contribute to public health. The ability of filamentous fungi to produce bioactive compounds has been underestimated, and fungal resources can be developed into new drugs. However, most biosynthetic genes encoding bioactive compounds are not expressed under laboratory conditions, which hampers the use of fungi in drug discovery. The mechanisms underlying silent metabolite production are poorly understood. Here, we attempted to show the diversity in fungal transcriptional regulation from an evolutionary viewpoint. To meet this goal, the secondary metabolisms, at genomic and transcriptomic levels, of the most phylogenetically closely related species in Aspergillus section Fumigati were compared. The conserved biosynthetic gene clusters across five Aspergillus species were identified. The expression levels of the well-conserved gene clusters tended to be more active than the species-specific, which were not well-conserved, gene clusters. Despite highly conserved genetic properties across the species, the expression patterns of the well-conserved gene clusters were diverse. These findings suggest an evolutionary diversification at the transcriptional level, in addition to genomic rearrangements and gains and losses, of the biosynthetic gene clusters. This study provides a foundation for understanding fungal secondary metabolism and the potential to produce diverse fungal-based chemicals.

genomics↗

bioRxiv2019

Bottleneck Size-Dependent Changes in the Genetic Diversity and Specific Growth Rate of a Rotavirus A Strain

RNA viruses form a dynamic distribution of mutant swarm (termed \"quasispecies\") due to the accumulation of mutations in the viral genome. The genetic diversity of a viral population is affected by several factors, including a bottleneck effect. Human-to-human transmission ex-emplifies a bottleneck effect in that only part of a viral population can reach the next susceptible hosts. In the present study, the rhesus rotavirus (RRV) strain of Rotavirus A was serially passaged five times at a multiplicity of infection (MOI) of 0.1 or 0.001 in duplicate (the 1st and 2nd lineages), and three phenotypes (infectious titer, cell binding ability and specific growth rate) were used to evaluate the impact of a bottleneck effect on the RRV population. The specific growth rate values of lineages passaged under the stronger bottleneck (MOI of 0.001) were higher after five passages. The nucleotide diversity also increased, which indicated that the mutant swarms of the lineages under the stronger bottleneck effect were expanded through the serial passages. The random distribution of synonymous and non-synonymous substitutions on rotaviral genome segments indicated that almost all mutations were selectively neutral. Simple simulations revealed that the presence of minor mutants could influence the specific growth rate of a population in a mutant frequency-dependent manner. These results indicate that a stronger bottleneck effect can create more sequence spaces for minor mutants originally existing in a hidden layer of mutant swarm.\n\nIMPORTANCEIn this study, we investigated a bottleneck effect on an RRV population, which may drastically impact a viral population structure. RRV populations were serially passaged under two levels of a bottleneck effect, which exemplified a human-to-human transmission. As a result, the genetic diversity and specific growth rate of RRV populations increased under the stronger bottleneck effect, which implied that a bottleneck could create a new sequence space in a population for minor mutants originally existing in a hidden layer of a mutant swarm of the double-stranded RNA virus. The results of this study suggest that the genetic drift caused by a bottleneck in a human-to-human transmission explains the random appearance of new genetic lineages causing viral outbreaks, which can be expected by the molecular epidemiology using next generation sequencing in which the viral genetic diversity within a viral population is investigated.

microbiology↗

bioRxiv2018

Overlapping but asymmetrical relationships between schizophrenia and autism revealed by brain connectivity

(Abstract included 248 words)Although the relationship between schizophrenia spectrum disorder (SSD) and autism spectrum disorder (ASD) has long been debated, it has not yet been fully elucidated. To address this issue, we took advantage of dual (ASD and SSD) classifiers that discriminate patients from their controls based on resting state brain functional connectivity. An SSD classifier using sophisticated machine-learning algorithms that automatically selected SSD- specific functional connections was applied to Japanese datasets including adult patients with SSD in a chronic stage. We demonstrated good performance of the SSD classification for independent validation cohorts. The generalizability was tested by USA and European cohorts in a chronic stage, and one USA cohort including first episode schizophrenia. The specificity was tested by two adult Japanese cohorts of ASD and major depressive disorder, and one European cohort of attention-deficit hyperactivity disorder. The weighted linear summation of the classifiers functional connections constituted the biological dimensions representing neural liability to the disorders. Our previously developed robust ASD classifier constituted the ASD dimension. Distributions of individuals with SSD, ASD and healthy controls were examined on the SSD and ASD biological dimensions. The SSD and ASD populations exhibited overlapping but asymmetrical patterns on the two biological dimensions. That is, the SSD population showed increased liability on the ASD dimension, but not vice versa. Furthermore, the two dimensions were correlated within the ASD population but not the SSD population. Using the two biological dimensions based on resting-state functional connectivity enabled us to quantify and visualize the relationships between SSD and ASD.

neuroscience↗