Masayuki Ushio

This study uses empirical dynamic modeling to analyze chlorophyll-a dynamics in Hong Kong waters, identifying key environmental factors and their impact on forecasting accuracy.

The paper identifies dynamic response traits as a novel trait predicting species redistribution under climate change using marine fish data and nonlinear time-series analysis.

This study shows that microbiome-host interactions in Drosophila create a trade-off between sleep quality and lifespan through specific bacterial metabolites and host responses.

This study detects Indo-Pacific finless porpoise eDNA in Hong Kong waters using qPCR and metabarcoding, showing comparable detection rates and potential for cetacean monitoring.

The paper compares ecological communities in rice paddy fields under conventional and no-fertilizer farming practices, finding that microbial and plant taxa abundances influence rice growth and yield differences.

This study develops a qPCR assay to detect Indo-Pacific humpback dolphin eDNA in Hong Kong waters, revealing their presence in specific coastal regions.

The paper develops and validates μCeta, a cetacean-specific primer set for eDNA metabarcoding that minimizes non-target vertebrate amplification, successfully detecting Indo-Pacific humpback dolphin eDNA in Hong Kong waters.

This study demonstrates that eDNA analysis can accurately detect haplotypes in wild fish populations, comparable to traditional capture-based methods.

This study evaluates methods to reduce false positive haplotypes in eDNA sequencing data by combining denoising and low detection rate filtering.

The paper detects terrestrial mammals using eDNA from forest pond water, identifying species like deer and raccoon through metabarcoding.