A team led by JGI scientists has overhauled the perception of inovirus diversity. Using machine learning, they identified more than 10,000 inovirus-like sequences compared to the 56 previously known genomes of these filamentous viruses. The results revealed inoviruses are in every major microbial habitat -- including soil, water, and humans -- around the world.