Thijs J. G. Ettema

This study identifies 908 new isomorphic eukaryotic signature proteins in Asgard archaea, suggesting their ancestor was more complex than previously thought.

This study expands the diversity of Asgardarchaeota, revealing metabolic features suggesting aerobic respiration in the Asgard-eukaryotic ancestor.

The paper identifies tubulins in Asgard archaea and shows they form mini-microtubules with eukaryotic-like properties, suggesting an archaeal origin for microtubules.

The paper proposes a roadmap for fair reuse of public microbiome data by introducing a Data Reuse Information tag (DRI) to facilitate communication between data creators and consumers.

This study investigates DnaA titration on the E. coli chromosome and shows it controls free DnaA levels in a growth rate-dependent manner, preventing re-initiation during slow growth.

WitChi detects and prunes compositional bias in phylogenomic alignments using chi-squared testing, improving phylogenetic accuracy in large datasets.

This study resolves the phylogenetic position of Njordarchaeales and Panguiarchaeales, placing them as a new class Njordarchaeia within Asgard archaea and identifying Panguiarchaeum as a metabolically reduced, potentially symbiotic lineage.

This study shows that archaea can synthesize fatty acids using a newly identified pathway and enzyme complex, providing insights into their evolutionary lipid composition.

PhyloMagnet screens meta-omics datasets for taxa and genes of interest using gene-centric assembly and phylogenetic placement, achieving high accuracy in taxonomic identification.

This study modifies the Smart-seq2 protocol to improve single-cell transcriptomics for protists, finding that freeze-thaw cycles enhance transcript recovery.

The paper compares single-amplified genomes and metagenome-assembled genomes from uncultivated prokaryotes, finding high similarity between them and highlighting their complementary strengths.

The paper uses RNA sequencing to analyze gene expression in Stentor cell fragments during regeneration, identifying key genes and processes involved in regenerating different cellular structures.