Hisashi Endo

The paper uses metatranscriptomic data to show that a single parmalean species can express both silicified (S-type) and flagellated (F-type) morphotypes, with distinct environmental triggers and distribution patterns.

The paper tracks genetic structure and transcription of Heterosigma akashiwo virus during a host bloom, revealing rapid diversification driven by host selection and pre-existing variants.

The paper identifies deep-sea-specific giant viruses with persistent activity and characterizes their unique gene functions adapted to aphotic environments.

This study uses rRNA profiling to analyze cell lysis dynamics of marine microeukaryotes, finding higher lysis rates in the mesopelagic zone than in the epipelagic layer.

This study examines the metabolic activity of protists in sinking and suspended marine particles, revealing taxon-specific metabolic reprogramming and the role of specific protists and viruses in organic carbon export.

This study investigates how temperature influences the biogeography of marine giant viruses infecting Micromonas, using modeling and observational data to show temperature drives viral distribution and population dynamics.

This study analyzes giant virus dynamics using metagenomic data, revealing year-round recovery and distinct population dynamics linked to microdiversity and niche breadth.

The paper investigates viral horizontal gene transfer (vHGT) among nucleocytoviruses and finds it accounts for 28% to 42% of gene gain events in each viral order.

This study analyzes the global distribution and diversity of Parmales using DNA metabarcoding data, revealing low abundance and diversity with clade-specific ecological adaptations.

This study characterizes sinking and suspended microeukaryotic communities in Oyashio waters using 18S rDNA metabarcoding, revealing depth-related differences and functional roles in the biological carbon pump.

The paper investigates the association between microbial eukaryote and Imitervirales communities in the Pacific Arctic Ocean, finding strong correlations between eukaryotic and viral communities despite oligotrophic conditions.

KofamKOALA assigns KEGG Orthologs to protein sequences using profile HMMs and adaptive thresholds, achieving comparable accuracy to existing tools while being faster.