Kozo Watanabe

This study investigates the transfer and persistence of the blaOXA-72 gene from Acinetobacter pittii to Acinetobacter baumannii, finding that conjugation efficiency depends on temperature and antibiotic exposure, with limited gene persistence.

This study optimizes an RT-PCR assay to detect Japanese encephalitis virus in mosquitoes from Laguna, Philippines, finding no detectable JEV genetic material in tested samples.

This study shows that a non-retroviral EVE suppresses viral replication in mosquitoes across life stages and generations but does not affect survival or reproduction.

The paper uses haplotype-level metabarcoding to explore how species occurrence relates to genetic diversity and structure in aquatic insect communities across a catchment.

This study analyzes mobile genetic elements in Acinetobacter isolates to understand how they facilitate antimicrobial resistance gene dissemination across different environments.

This study uses ddRAD-Seq to analyze genetic variation in Aedes aegypti populations across Metropolitan Manila, finding non-neutral SNPs associated with landscape and climate variables and contrasting spatial divergence between sexes.

This study examines Rickettsia infection rates in Ixodid ticks along an altitudinal gradient, finding significant genetic differentiation and spatially heterogeneous infection rates in I. ovatus.

This study compares the population genetic structure of two tick species in Japan, finding significant genetic variation in I. ovatus but not H. flava, supporting the hypothesis that host mobility affects tick genetic structure.

This study examines how a primary road affects the genetic structure and gene flow of Aedes aegypti mosquitoes at a fine spatial scale, finding significant genetic differentiation across the road.

The paper examines gene expression changes in seven stonefly species across a latitudinal gradient, finding species-specific and shared adaptive responses to environmental conditions.

The paper analyzes the genetic structure of coconut scale insect populations in the Philippines, finding two genetically distinct outbreak groups with no recent gene flow between them.

The paper identifies genome-wide SNPs associated with local adaptation in seven stonefly species across Japan's latitudinal gradient, highlighting environmental drivers like precipitation and altitude.

This study uses machine learning to detect adaptive divergence in Ephemera strigata populations, finding higher resolution in Random Forest compared to traditional methods and identifying altitudinal adaptation.