Major New Microbial Groups Expand Diversity and Alter our Understanding of the Tree of Life.

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Evolution of resilience in protein interactomes across the tree of life (2018, background): “T enormous diversity of life shows a fundamental ability of organisms to adapt their phenotypes to changing environments (1).”
Evaluating Protein Transfer Learning with TAPE (2019, background): “Finding new superfamilies with the same fold is a challenging task, requiring sequencing in extreme environments as is often done in metagenomics [59].”
Robust taxonomic classification of uncharted microbial sequences and bins with CAT and BAT (2019, unknown): “As long as sequence space is incompletely explored and reference databases represent a biased view of the tree of life [1, 3], algorithms designed to address the abundant uncharted microbial sequences will be needed to make sense of the microbial world.”
CheckM2: a rapid, scalable and accurate tool for assessing microbial genome quality using machine learning (2022, background): “Their high diversity, unusual biology, absence of key genes and often small genomes make predicting their genome quality particularly challenging 16–18 .”
Linking metagenomics to aquatic microbial ecology and biogeochemical cycles (2019, background): “The Asgard harbormany genes previously thought to be unique to eukaryotes and their discovery has necessitated nothing less than a restructuring of the universal tree of life (Spang et al. 2015; Castelle and Banfield 2018).”