EMD-16479

Tomography
EMD-16479 Deposition: 20/01/2023
Map released: 05/04/2023
Last modified: 13/12/2023
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EMD-16479

Cryo-electron tomogram of a Roseburia intestinalis DSM 14610 cell.

EMD-16479

Tomography
EMD-16479 Deposition: 20/01/2023
Map released: 05/04/2023
Last modified: 13/12/2023
Overview Sample Experiment Validation Volume Browser Additional data Links
Sample Organism: Roseburia intestinalis L1-82
Sample: Roseburia intestinalis DSM 14610

Deposition Authors: Wimmer BH , Medalia O
Phylogenetic diversity of core rumen microbiota as described by cryo-ET.
Wimmer BH , Morais S , Zalk R , Mizrahi I , Medalia O
(2023) Microlife , 4 , uqad010 - uqad010
PUBMED: 37223726
DOI: doi:10.1093/femsml/uqad010
ISSN: 2633-6693
Abstract:
Microbial taxonomy is critical for describing ecosystem composition, yet the link between taxonomy and properties of microbes, such as their cellular architecture, remains poorly defined. We hypothesized that the cellular architecture represents microbial niche adaptation. We used cryo-electron microscopy and tomography to analyze microbial morphology in order to associate cellular architecture with phylogeny and genomic contents. As a model system, we chose the core rumen microbiome and imaged a large isolate collection covering 90% of its richness at the order level. Based on quantifications of several morphological features, we found that the visual similarity of microbiota is significantly related to their phylogenetic distance. Up to the Family level, closely related microbes have similar cellular architectures, which are highly correlated with genome similarity. However, in more distantly related bacteria, the correlation both with taxonomy and genome similarity is lost. This is the first comprehensive study of microbial cellular architecture and our results highlight that structure remains an important parameter in classification of microorganisms, along with functional parameters such as metabolomics. Furthermore, the high-quality images presented in this study represent a reference database for the identification of bacteria in anaerobic ecosystems.