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Biology subjects

Komiya, K.

Publications and source records attributed to Komiya, K..

2 recordsLinked to original sources

Nationwide multi-omics profiling of Japanese jack mackerel reveals geographic gut microbiome structuring despite host panmixia

Host genetic markers often fail to resolve regional origins in highly connected or panmictic marine species. The Japanese jack mackerel, Trachurus japonicus, is a commercially important fishery species around Japan that shows little or no detectable population structure. Here, we used nationwide multi-omics profiling to compare host genomic variation and gut microbiome composition in wild T. japonicus collected from coastal regions across Japan. We generated MIG-seq data for 43 individuals and 16S rRNA gene profiles for 24 individuals; after quality filtering, 19 individuals remained for matched host-microbiome comparison. Genome-wide host SNP analyses showed weak or absent geographic population structure, consistent with previous evidence of panmixia in Japanese waters. In contrast, gut microbiome composition showed geographic structuring based on Bray-Curtis dissimilarity and PERMANOVA, and this pattern was not explained by proximity to river mouths or host-related variables. Locality- or individual-associated bacterial lineages contributed to the observed differences in the microbiome, while chloroplast-associated and Cyanobacteria-assigned ASVs suggested recent dietary or environmental input. These results indicate that gut microbiome can show regional biological variation not apparent from host genetic markers alone. Our study provides a proof-of-concept example of integrating host genomics and gut microbiome profiling to evaluate regional characteristics and origins in highly connected marine animals.

microbiology↗

A Novel MiRNA Detection System Combining TWJ-SDA,Multistep L-TEAM, and CRISPR-Cas3

MicroRNAs (miRNAs) serve critical regulatory roles in gene expression and are valuable biomarkers for early disease detection. However, their inherent low concentration in biological fluids poses significant detection challenges. Although traditional methods like real-time quantitative PCR (RT-qPCR) are highly sensitive, they require thermal cycling, limiting their application in point-of-care testing (POCT). Here, we present an isothermal amplification-based miRNA detection system integrating Three-Way Junction (TWJ) formation, Multistep Low-Temperature Amplification (L-TEAM), and CRISPR-Cas3-mediated signal amplification. The integration of the Multistep L-TEAM with the TWJ method achieves high sensitivity, detecting miRNA at concentrations as low as 10 femtomolar within 50 minutes, and effectively distinguishes single-nucleotide mismatches. When CRISPR-Cas3-mediated reaction was integrated, it still proved effective for confirming the presence of the target, but its quantitative reliability requires further optimization. We developed a predictive model using machine learning to facilitate rational optimization of experimental conditions through contribution analysis and to establish a methodology for designing more favorable sequences. The modular nature of our method permits adaptation to diverse miRNA targets without modifications to the fundamental amplification mechanism.

molecular biology↗