ArticlemBio2026
Spatial-temporal genome analysis and its application for the prediction of functional systems in bacteria and archaea.
Article in mBio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Acquisition and erosion of toxin-antitoxin systems in bacterial chromosomes.Molecular biology and evolution · 2026Article
- In search of phage tail-like particles: nature's versatile nanomachines.Nature reviews. Microbiology · 2026Article
- Ribosomal RNA cleavage by the previously unidentified RelS-RelI toxin-antitoxin system controls growth of Mycobacterium tuberculosis.Nucleic acids research · 2026Article
- RiPP recognition elements evolved to prevent pathway interference through leader peptide discrimination.Nature communications · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolution of prokaryotic genomes is highly dynamic, including extensive gene gain via horizontal gene transfer and gene loss, as well as different types of genome rearrangements. Most quantitative analyses of prokaryotic genome evolution are based on single-gene events, although the distribution of genes is known to be non-random at the scales of operons and various genomic islands. Here, we present a spatial-temporal phylogenomic approach for detecting arrays of genes that are likely to have been acquired as a single block. It is shown that the acquisition of multi-gene blocks makes a major contribution to prokaryotic genome evolution and that these blocks consist primarily of co-directed, functionally coherent genes. A detailed analysis of the spatial-temporal data for the genomes of multiple groups of bacteria and archaea shows that the larger blocks of co-acquired genes represent primarily mobile genetic elements (MGEs), in many cases not identified previously. For example, this includes a new group of pleolipoviruses in Haloarchaea and a group of MGEs specific for
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.