Hiroyuki Ogata

The paper identifies a new viral order, Skiavirales, in marine protists through long-read sequencing and shows gene exchange between viruses and host genomes.

The paper identifies viral carbohydrate-active genes across diverse viral lineages using a hierarchical orthology framework and reveals their evolutionary and functional diversity.

This study identifies biogeographic patterns of freshwater giant viruses using MAGs from deep lakes, revealing cosmopolitan and restricted species, and factors influencing their distribution.

This study identifies a 180-kbp genomic region horizontally transferred among pandoraviruses, contributing to their genomic expansion and evolution.

This study develops a reverse-genetics system for a virophage to investigate gene functions and their role in modulating giant virus replication.

The paper shows how mimiviruses create a subcellular environment to overcome codon-tRNA mismatch by localizing viral mRNAs and proteins at the periphery of a viral factory.

DeepKOALA is a deep learning framework for KEGG Orthology assignment that improves speed and accuracy over traditional methods and existing tools.

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 develops a method to generate a recombinant mimivirus by directly transfecting a PCR amplicon into host cells, bypassing the need for plasmid construction.

The paper identifies and analyzes endogenous dsDNA viral elements across eukaryotic genomes, revealing their distribution and associations with specific host lineages and viral taxa.

This study analyzes diatom diversity and abundance in the global ocean using Tara Oceans data, identifying key environmental drivers and community patterns.

This study shows Sputnik virophage alters APMV gene expression timing, prolonging early and delaying late gene expression, without significantly affecting amoeba gene expression.

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.

This study uses long-read metagenomics to reconstruct giant virus genomes from a freshwater lake, revealing new species and ecological roles in different water depths.

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.