Cell Biology


Publications
86

SeqCode: a nomenclatural code for prokaryotes described from sequence data

Citation
Hedlund et al. (2022). Nature Microbiology
Names
Kryptonium mobile Kryptoniaceae Kryptoniia Kryptoniales
Abstract
AbstractMost prokaryotes are not available as pure cultures and therefore ineligible for naming under the rules and recommendations of the International Code of Nomenclature of Prokaryotes (ICNP). Here we summarize the development of the SeqCode, a code of nomenclature under which genome sequences serve as nomenclatural types. This code enables valid publication of names of prokaryotes based upon isolate genome, metagenome-assembled genome or single-amplified genome sequences. Otherwise, it is s

Mutual Exclusion of Methanobrevibacter Species in the Human Gut Microbiota Facilitates Directed Cultivation of a Candidatus Methanobrevibacter Intestini Representative

Citation
Low et al. (2022). Microbiology Spectrum 10 (4)
Names
“Methanobrevibacter intestini” Methanobrevibacter
Abstract
Methanogens are important hydrogen consumers in the gut and are associated with differing host health. Here, we determine the prevalence and abundance of archaeal species in the guts of a multi-ethnic cohort of healthy Singapore residents.

A closed Candidatus Odinarchaeum chromosome exposes Asgard archaeal viruses

Citation
Tamarit et al. (2022). Nature Microbiology 7 (7)
Names
Ca. Odinarchaeum yellowstonii
Abstract
AbstractAsgard archaea have recently been identified as the closest archaeal relatives of eukaryotes. Their ecology, and particularly their virome, remain enigmatic. We reassembled and closed the chromosome of Candidatus Odinarchaeum yellowstonii LCB_4, through long-range PCR, revealing CRISPR spacers targeting viral contigs. We found related viruses in the genomes of diverse prokaryotes from geothermal environments, including other Asgard archaea. These viruses open research avenues into the ec

A catalogue of 1,167 genomes from the human gut archaeome

Citation
Chibani et al. (2021). Nature Microbiology 7 (1)
Names
“Methanobrevibacter intestini” “Methanarcanum hacksteinii” “Methanoprimaticola hominis” “Methanoprimaticola” “Methanarcanum”
Abstract
AbstractThe human gut microbiome plays an important role in health, but its archaeal diversity remains largely unexplored. In the present study, we report the analysis of 1,167 nonredundant archaeal genomes (608 high-quality genomes) recovered from human gastrointestinal tract, sampled across 24 countries and rural and urban populations. We identified previously undescribed taxa including 3 genera, 15 species and 52 strains. Based on distinct genomic features, we justify the split of theMethanob

Genomic insights into diverse bacterial taxa that degrade extracellular DNA in marine sediments

Citation
Wasmund et al. (2021). Nature Microbiology 6 (7)
Names
“Izemoplasma acidinucleici” Ca. Izemoplasma Ca. Izemoplasmatales
Abstract
AbstractExtracellular DNA is a major macromolecule in global element cycles, and is a particularly crucial phosphorus, nitrogen and carbon source for microorganisms in the seafloor. Nevertheless, the identities, ecophysiology and genetic features of DNA-foraging microorganisms in marine sediments are largely unknown. Here, we combined microcosm experiments, DNA stable isotope probing (SIP), single-cell SIP using nano-scale secondary isotope mass spectrometry (NanoSIMS) and genome-centric metagen

Multidomain ribosomal protein trees and the planctobacterial origin of neomura (eukaryotes, archaebacteria)

Citation
Cavalier-Smith, Chao (2020). Protoplasma 257 (3)
Names
“Mariprofundia”
Abstract
AbstractPalaeontologically, eubacteria are > 3× older than neomura (eukaryotes, archaebacteria). Cell biology contrasts ancestral eubacterial murein peptidoglycan walls and derived neomuran N-linked glycoprotein coats/walls. Misinterpreting long stems connecting clade neomura to eubacteria on ribosomal sequence trees (plus misinterpreted protein paralogue trees) obscured this historical pattern. Universal multiprotein ribosomal protein (RP) trees, more accurate than rRNA trees, are taxonomica