Biology subjects

Yura, K.

Publications and source records attributed to Yura, K..

11 recordsLinked to original sources

bioRxiv2026

Non-linear growth models combined with survival rates identify the optimal rearing temperature and harvest timing in edible crickets, Gryllus bimaculatus and Teleogryllus occipitalis

Crickets are gaining attention as sustainable protein sources because of their high nutritional value and low environmental impact. Growth models are essential tools for optimising production by predicting growth characteristics. However, previous studies have not compared multiple non-linear growth models for crickets or explicitly considered environmental factors. We analysed the growth patterns of the two-spotted cricket (Gryllus bimaculatus) and the Asian cricket (Teleogryllus occipitalis) at multiple temperatures (25.0, 27.5, 30.0, 32.5 and 35.0 {degrees}C) using three non-linear models (Gompertz model, logistic model, and von Bertalanffy model) and combined the predicted body mass with observed survival rates to predict the optimal harvest time and temperature. All three models fitted the data well (R2 [≥] 0.97 in both species). The asymptotic body mass was highest at 30.0 {degrees}C, and the growth rate constant increased with temperature, reaching its maximum at 35.0 {degrees}C except for the logistic model in G. bimaculatus (32.5 {degrees}C). In addition, the predicted value of harvest, calculated by combining predicted body mass and observed survival probability, was highest at 30.0 {degrees}C in both species, reaching 13.82 kg/m3 at 38 days in G. bimaculatus and 7.12 kg/m3 at 62 days in T. occipitalis. These results suggest that 30.0 {degrees}C is the most suitable constant-temperature condition for maximising predicted productivity, although the optimal harvest timing differs between species.

physiology↗

bioRxiv2026

Repetitive sequence material shapes the earliest stages of de novo gene evolution in insects

A fundamental unresolved question in molecular evolution is how novel genes arise from noncoding DNA and become fixed within stable gene repertoires. Here, we performed comparative genomic analyses across evolutionary timescales in insects using chromosome-scale genome assemblies of two cricket species, Teleogryllus occipitalis and Tarbinskiellus portentosus. Using conservative criteria, we identified 41 de novo gene candidates derived from intergenic regions in the Te. occipitalis lineage. These genes are simple and compact, exhibit hallmarks of evolutionarily young genes, and frequently contain fragments of transposable elements and simple sequence repeats. Across insects, such repetitive sequence fragments show positional homology but lack sequence conservation in older genes, suggesting that they serve as sequence material for gene emergence during early stages of gene evolution. In contrast, insertions after gene establishment are strongly constrained. We propose a model in which stages of gene evolution are characterized by shifts in selective pressure on the incorporation of sequence material.

evolutionary biology↗

bioRxiv2026

Age-associated erosion of organ-specific endothelial programs compromises tissue function and resilience

Endothelial cells (ECs) express organ-specific gene programs supporting tissue homeostasis and resilience. However, the mechanisms by which aging reshapes these organ-specific endothelial programs and how the resulting changes affect tissue homeostasis, resilience, and disease susceptibility remain largely unknown. Herein, we performed single-cell RNA sequencing of ECs harvested from five organs across the lifespan and found that aging progressively erodes organ-specific endothelial programs while inducing shared interferon-responsive and antigen-presentation programs across organs. Although vascular subtype identity and conserved capillary subset identity were mostly preserved, these organ-specific transcriptional programs were broadly attenuated with aging, indicating erosion of organ-specific endothelial identity to be a fundamental feature of endothelial aging. Importantly, these alterations were associated with declines in specialized EC functions, including alveolar barrier maintenance in the lung, scavenging activity in the liver, angiogenic capacity in the heart, and homeostatic programs in the kidneys and the brain, suggesting that age-related EC alterations compromise tissue homeostasis and resilience in multiple organs. Furthermore, we established a single-cell aging index for alveolar capillary ECs in mice and humans, revealing stress-associated endothelial activation to potentially be an intermediate state linking functional deterioration to cellular senescence, and also demonstrating marked heterogeneity in aging states even among ECs from animals of the same chronological age. Notably, alveolar capillary ECs exhibited progressive functional decline before reaching a senescent-like state, suggesting endothelial dysfunction to precede overt cellular senescence as the organism ages. Collectively, our findings establish progressive erosion of organ-specific endothelial programs as a central feature of vascular aging and provide a conceptual framework for elucidating how endothelial aging contributes to tissue dysfunction and reduced resilience across organs.

physiology↗

bioRxiv2025

Chromosome-scale genome assembly and annotation of the two-spotted cricket Gryllus bimaculatus (Orthoptera: Gryllidae)

The two-spotted cricket, Gryllus bimaculatus, is a key hemimetabolous model organism for developmental biology, neuroscience, and regeneration. The existing reference genome is, however, highly fragmented into 47,877 scaffolds, hampering chromosome-scale analyses for these fields. Here, we report a high-quality, chromosome-scale genome assembly for the white-eyed mutant strain of this cricket, generated using a combination of Nanopore and PacBio HiFi long reads, integrated with Hi-C data. The final 1.62 Gbp assembly achieves a scaffold N50 of 107.4 Mbp, a significant improvement in contiguity over the previous 6.3 Mbp N50. We anchored 94.45% of the assembly into 15 pseudomolecules, consistent with the known karyotype (n = 15). The genome completeness (BUSCO v6.0.0 insecta_odb12) reached 98.1%. We also updated the annotation, identifying 14,964 protein-coding genes. This gene set shows markedly improved completeness (BUSCO v6.0.0 insecta_odb12: 95.7%) compared with the previous annotation (81.2%) and successfully recovers all nine essential neuropeptide genes previously reported as missing from the draft assembly. This chromosome-scale genomic resource provides an essential foundation for comparative and functional genomics in G. bimaculatus.

genomics↗

bioRxiv2025

Temporal orchestration of transcriptional and epigenomic programming underlying maternal embryonic diapause in a cricket model

Maternal perception of environmental conditions can direct offspring developmental trajectories, providing adaptive flexibility across taxa. In the band-legged ground cricket Dianemobius nigrofasciatus, maternal exposure to short days induces embryonic diapause at the cellular blastoderm stage in offspring. Here, we investigate molecular mechanisms underlying this transgenerational adaptation through genome assembly (1.45 Gbp) and time-series transcriptomic analyses of diapause and non-diapause eggs from 12 to 72 hours post-oviposition. Despite morphological similarity, diapause-destined eggs show early upregulation of ATP-dependent chromatin remodeling genes at 24 hours. ATAC-seq reveals reduced chromatin accessibility at neural and cell cycle-related genes. Time-series clustering identifies precocious shifts in RNA processing machinery (peaking at 24 versus 40 hours in non-diapause eggs), followed by metabolic regulation toward amino acid catabolism and gluconeogenesis sustaining long-term survival during developmental arrest. Our findings reveal diapause as actively coordinated molecular programming involving epigenetic, transcriptional, and metabolic remodeling, providing insights into transgenerational environmental adaptation.

developmental biology↗

bioRxiv2024

Plant Cleavage Factor I complex is essential for precise cleavage and polyadenylation site determination

Cleavage factor I (CFI) is a four-subunit protein complex of the pre-mRNA 3 end processing machinery in eukaryotes. In Arabidopsis, AtCFI25a, AtCFI25b, AtCFI59, and AtCFI68 have been identified as potential components of AtCFI, in silico. Here, we show that the AtCFI25a, AtCFI59, and AtCFI68 proteins each pulled down all components of the CFI, confirming that these subunits form the plant CFI complex. Furthermore, either AtCFI59 or AtCFI68 was essential for nuclear localization of the smallest subunit, AtCFI25a. Mutants with single loss-of-function for AtCFI59 or AtCFI68 showed no obvious morphological defects compared to wild-type plants, while the double mutant displayed pleiotropic morphological defects, identical to those previously reported for AtCFI25a loss-of-function plants. Moreover, these morphological defects correlated with alterations in the usage of 3 UTR cleavage and polyadenylation sites. atcfi25a, atcfi25a atcfi25b and atcfi59 atcfi68 double mutants showed widespread changes in the choice of cleavage and polyadenylation sites. In most cases, more proximal cleavage and polyadenylation sites were used, leading to shorter 3 UTRs. In particular, genes involved in light intensity, light harvesting, photosynthesis and cold responses showed significant dependence on AtCFI function. Furthermore, transcripts coding for AtCFI subunits showed altered 3 end processing in these mutants, suggesting self-regulation function of AtCFI in plants.

molecular biology↗

bioRxiv2022

ADAMTS2 regulates radial neuronal migration by activating TGF-β signaling at the subplate layer of the developing neocortex

During the development of the mammalian brain, neocortical structures are formed by the sequential radial migration of newborn excitatory neurons. The early migrating neurons exhibit a multipolar shape, but they undergo a multipolar-to-bipolar transition at the subplate (SP) layer, where extracellular matrix (ECM) components are abundantly expressed. In this study, we revealed that the TGF-{beta} signaling-related ECM proteins, such as latent TGF-{beta}-binding protein 1 (LTBP1) and fibrillin 2, and TGF-{beta} receptor II (TGF-{beta}RII) and its downstream effector, p-smad2/3, are selectively expressed at the SP layer, suggesting that TGF-{beta} is sequestered in a latent form by forming complexes with these ECM components and then its signaling is activated by ECM remodeling. We found that the migrating multipolar neurons transiently express a disintegrin and metalloproteinase with thrombospondin motif 2 (ADAMTS2), an ECM metalloproteinase, just below the SP layer. Knockdown and knockout of Adamts2 suppressed the multipolar-to-bipolar transition of migrating neurons, and therefore, disturbed radial migration. Similar phenotypes were observed by the perturbation of TGF-{beta} signaling in the migrating neurons. Time-lapse luminescence imaging of TGF-{beta} signaling indicated that ADAMTS2 activates this signaling pathway in the migrating neurons during the multipolar-to-bipolar transition at the SP layer. These results suggest that the ADAMTS2 secreted by the migrating multipolar neurons activates TGF-{beta} signaling by ECM remodeling of the SP layer, leading to the multipolar-to-bipolar transition. We propose that the SP layer plays an essential role in the radial neuronal migration as a signaling center of the developing neocortex. SIGNIFICANCEThe neocortex is formed by the sequential radial migration of newborn neurons, which undergo a multipolar-to-bipolar transition at the subplate (SP) layer. The extracellular matrix (ECM) is abundantly expressed in the SP layer. However, the roles of the ECM in the SP layer have been unclear. We found that migrating neurons transiently express a disintegrin and a metalloproteinase with thrombospondin motif 2 (ADAMTS2), an ECM metalloproteinase, just below the SP layer. We show that ADAMTS2 secreted by multipolar migrating neurons activates TGF-{beta} signaling through remodeling of the ECM in the SP layer, leading to the multipolar-to-bipolar transition. Thus, the SP layer plays an essential role in radial migration as a signaling center of the developing neocortex

neuroscience↗

bioRxiv2022

Targeted single-cell genomics reveals novel host adaptation strategies of the symbiotic bacteria Endozoicomonas in Acropora tenuis coral

Endozoicomonas bacteria symbiose with various marine organisms and are known to be beneficial for coral health. However, genome analysis of coral-associated Endozoicomonas has been limited owing to the difficulty in cultivation and metagenomic approach by contamination of host-derived sequences. In this study, we applied a novel single-cell genomics technique using droplet microfluidics to obtain single-cell amplified genome (SAGs) for coral-associated Endozoicomonas spp. genome. We obtained seven novel Endozoicomonas genomes from Acropora tenuis coral. These genomes revealed that Endozoicomonas bacteria played host-associated functions in host corals and had undergone independent host-adaptive evolution in different clades. These adaptive evolutions were mediated by host-derived eukaryotic-like genes, some of which were speculated to influence host immune mechanisms. These genes are speculated to enhance coral tolerance to environmental stresses. This study suggests the possibility of host adaptation of Endozoicomonas spp. in symbiosis with corals and their contribution to coral bleaching tolerance.

microbiology↗

bioRxiv2021

Multi-omics analysis reveals cross-organism interactions in coral holobiont

Corals create an ecosystem, called a holobiont, with intracellular algae (zooxanthellae) and resident bacteria. Zooxanthellae and some bacteria play major roles in the physiological properties of the coral host. However, because of the difficulties in experimental verification of cross-organism interactions, the mechanisms underpinning these interactions are largely unknown. To address this, we here generated and then analyzed multi-omics datasets for corals, zooxanthellae, and bacteria collected at Okinawa, Japan, from November 2014 to September 2016. Using cross-organism co-expression analysis, we successfully characterized the host-alga relationship in the coral holobiont. Specifically, we observed that the coral host dominates the zooxanthellae. The multi-omics analysis also suggested that infection with coral-associated bacteria Endozoicomonas likely involves coral-like ephrin ligands, triggering an immune response of the coral host. This study highlights the potential of the multi-omics approach to elucidate coral-microbe interactions.

systems biology↗

bioRxiv2021

Single-cell metabolite detection and genomics reveals uncultivated talented producer

The production of bioactive metabolites is increasingly recognized as an important function of host-associated bacteria. An example is defensive symbiosis that might account for much of the chemical richness of marine invertebrates including sponges (Porifera), one of the oldest metazoans. However, as most complex microbiomes remain largely uncultivated and lack reference genomes, unequivocally linking metabolic functions to a cellular source is a challenge. Here we report an analysis pipeline of microfluidic encapsulation, Raman microscopy, and integrated digital genomics (MERMAID) for an efficient identification of uncultivated producers. We applied this method to the chemically rich bacteriosponge Theonella swinhoei, previously shown to contain Entotheonella symbionts providing most of its bioactive substances except for the antifungal aurantosides that lacked biosynthetic gene candidates in the metagenome. Raman-guided single-bacterial analysis and sequencing revealed a cryptic, distinct multiproducer, Candidatus Poriflexus aureus from a new Chloroflexi lineage. Its exceptionally large genome contains numerous biosynthetic loci and suggested an even higher chemical richness of this sponge than previously appreciated. This study highlights the importance of complementary technologies to uncover microbiome functions, reveals remarkable parallels between distantly related symbionts of the same host, and adds functional support for diverse chemically prolific lineages being present in microbial dark matter. Significance StatementThe production of bioactive metabolites is increasingly recognized as an important function of host-associated bacteria. However, the acquisition of integrated genomic and metabolic data from uncultivated environmental bacteria is still challenging. In this work, we explored the combination of Raman microscopy and single-cell sequencing to localize chemical features to a specific bacterium in an uncultivated microbiome, and we specified the bacteria in the uncultured lineage as a producer of aurantoside, an antifungal natural product, from a chemically and microbially complex sponge. This study offers a new methodology as well as insights into chemical functions of uncultivated life.

microbiology↗

bioRxiv2020

Exploration of natural red-shifted rhodopsins using a machine learning-based Bayesian experimental design

Microbial rhodopsins are photoreceptive membrane proteins utilized as molecular tools in optogenetics. In this paper, a machine learning (ML)-based model was constructed to approximate the relationship between amino acid sequences and absorption wavelengths using ~800 rhodopsins with known absorption wavelengths. This ML-based model was specifically designed for screening rhodopsins that are red-shifted from representative rhodopsins in the same subfamily. Among 5,558 candidate rhodopsins suggested by a protein BLAST search of several protein databases, 40 were selected by the ML-based model. The wavelengths of these 40 selected candidates were experimentally investigated, and 32 (80%) showed red-shift gains. In addition, four showed red-shift gains > 20 nm, and two were found to have desirable ion-transporting properties, indicating that they were potentially useful in optogenetics. These findings suggest that an ML-based model can reduce the cost for exploring new functional proteins.

biochemistry↗