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Kawamoto, S.

Publications and source records attributed to Kawamoto, S..

6 recordsLinked to original sources

Chromosome-scale genomes of two wild flowering cherrys (Cerasus itosakura and C. jamasakura) provide insights into structural evolution in Prunus

Flowering cherries (genus Cerasus) are iconic trees in Japan, celebrated for their cultural and ecological significance. Despite their prominence, high-quality genomic resources for wild Cerasus species have been limited. Here, we report chromosome-level genome assemblies of two representative Japanese cherries: Cerasus itosakura, a progenitor of the widely cultivated C. xyedoensis Somei-yoshino, and Cerasus jamasakura, a traditional popular wild species endemic to Japan. Using deep PacBio long-read and Illumina short-read sequencing, combined with reference-guided scaffolding based on near-complete C. speciosa genome, we generated assemblies of 259.1 Mbp (C. itosakura) and 312.6 Mbp (C. jamasakura), with both >98% BUSCO completeness. Consistent with their natural histories, C. itosakura showed low heterozygosity, while C. jamasakura displayed high genomic diversity. Comparative genomic analyses revealed structural variations, including large chromosomal inversions. Notably, the availability of both the previously published C. speciosa genome and our new C. itosakura genome enabled the reconstruction of proxy haplotypes for both parental lineages of Somei-yoshino. Comparison with the phased genome of Somei-yoshino revealed genomic discrepancies, suggesting that the cultivar may have arisen from genetically distinct or admixed individuals, and may also reflect intraspecific diversity. Our results offer genomic foundations for evolutionary and breeding studies in Cerasus and Prunus.

genomics↗

Empowering medaka fish biology with versatile genomic resources in MedakaBase

Medaka, a group of small, mostly freshwater fishes in the teleost order Beloniformes, includes the rice fish Oryzias latipes, which is a prominent model organism for diverse biological fields. Chromosome-scale genome sequences of the Hd-rR strain of this species were obtained in 2007, and its improved version has facilitated various genome-wide studies. However, despite its widespread utility, omics data for O. latipes are dispersed across various public databases and lack a centralized platform. To address this, the medaka section of the National Bioresource Project (NBRP) of Japan established a genome informatics team in 2022 tasked with providing versatile in silico solutions for bench biologists. This initiative led to the launch of MedakaBase (https://medakabase.nbrp.jp), a web server that enables gene-oriented analysis including exhaustive sequence similarity searches. MedakaBase also provides genome-wide browsing of diverse datasets, including tissue-specific transcriptomes and intraspecific genomic variations, integrated with gene models from different sources. Additionally, the platform offers gene models optimized for single-cell transcriptome analysis, which often requires coverage of the 3' untranslated region (UTR) of transcripts. Currently, MedakaBase provides genome-wide data for seven Oryzias species, including original data for O. mekongensis and O. luzonensis produced by the NBRP team. This article outlines technical details behind the data provided by MedakaBase.

genomics↗

Shaving black fur uncovers hidden issues in p16-3MR mice

The p16-3MR mouse model has previously been reported to effectively visualize and eliminate senescent cells in vivo. However, we now report significant issues with this model. Noninvasive bioluminescence imaging without shaving the black fur detected almost no luminescence signals, but they became visible after shaving. However, these signals were very faint and attributed to the auto-luminescence of coelenterazine-h, rather than reporter gene expression. Further experiments showed no significant bioluminescent changes with aging, doxorubicin treatment, or during wound healing, contradicting earlier reports. Comparative analysis between p16-3MR mice from different sources revealed no differences, suggesting functional issues with Renilla luciferase (Rluc) and herpes simplex virus 1 thymidine kinase (HSV-TK) expression in this mouse model. Our findings underscore the necessity of using white-furred mice or ensuring proper fur shaving for accurate in vivo bioluminescence imaging. We recommend the reevaluation of previously published studies that used p16-3MR mice without proper controls to ensure data accuracy. These results provide critical insights for researchers using p16-3MR mice in senescence studies.

molecular biology↗

Decoding the Centromeric Region with a Near Complete Genome Assembly of the Oshima Cherry Cerasus speciosa

The Oshima cherry (Cerasus speciosa), which is endemic to Japan, has significant cultural and horticultural value. In this study, we present a near complete telomere-to-telomere genome assembly for C. speciosa, derived from the old growth "Sakurakkabu" tree on Izu Oshima Island. Using Illumina short-read, PacBio long-read, and Hi-C sequencing, we constructed a 269.3 Mbp genome assembly with a contig N50 of 32.0 Mbp. We examined the distribution of repetitive sequences in the assembled genome and identified regions that appeared to be centromeric. Detailed structural analysis of these putative centromeric regions revealed that the centromeric regions of C. speciosa comprised repetitive sequences with monomer lengths of 166 or 167 bp. Comparative genomic analysis with Prunus sensu lato genome revealed structural variations and conserved syntenic regions. This high-quality reference genome provides a crucial tool for studying the genetic diversity and evolutionary history of Cerasus species, facilitating advancements in horticultural research and the preservation of this iconic species.

genomics↗

The SPICA Coarse-Grained Force Field for Proteins and Peptides

A coarse-grained (CG) model for peptides and proteins was developed as an extension of the SPICA (Surface Property fItting Coarse grAined) force field (FF). The model was designed to examine membrane proteins that are fully compatible with the lipid membranes of the SPICA FF. A preliminary version of this protein model was created using thermodynamic properties, including the surface tension and density in the SPICA (formerly called SDK) FF. In this study, we improved the CG protein model to facilitate molecular dynamics (MD) simulation with a reproduction of multiple properties from both experiments and all-atom (AA) simulations. The side chain analogs reproduced the transfer free energy profiles across the lipid membrane and demonstrated reasonable dimerization free energies in water compared to those from AA-MD. A series of peptides/proteins adsorbed or penetrated into the membrane simulated by the CG-MD correctly predicted the penetration depths and tilt angles of peripheral and transmembrane peptides/proteins comparable to those in the orientation of protein in membrane (OPM) database. In addition, the dimerization free energies of several transmembrane helices within a lipid bilayer were comparable to those from experimental estimation. Application studies on a series of membrane protein assemblies, scramblases, and poliovirus capsids demonstrated a good performance of the SPICA FF.

biophysics↗

Larger organ size caused by obesity is a mechanism for higher cancer risk.

Obesity increases significantly cancer risk in various organs. Although this has been recognized for decades, the mechanism through which this happens has never been explained. Here, we show that obese people (BMI [&ge;]30) have on average 55% (95%CI: 46%-66%), 68% (95%CI: 59%-76%), and 39% (95%CI: 29%-49%) larger kidneys, liver, and pancreas, respectively. We also find a significant linear relationship between the increase in organ volume and the increase in cancer risk (P-value<10-12). These results provide a mechanism explaining why obese individuals have higher cancer risk in several organs: the larger the organ volume the more cells at risk of becoming cancerous. These findings are important for a better understanding of the effects that obesity has on cancer risk and, more generally, for the development of better preventive strategies to limit the mortality caused by obesity.

cancer biology↗