ArticlePLoS genetics2006
Who ate whom? Adaptive Helicobacter genomic changes that accompanied a host jump from early humans to large felines.
Article in PLoS genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.
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Who cites it
97 citing papers in PubMed, 170 citations in OpenAlex.
- Helicobacter pylori genomic microevolution during naturally occurring transmission between adults.PloS one · 2013Trial
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- Vacuolating Cytotoxin A (VacA) and Extracellular Vesicles inIranian journal of pathology · 2025Review
- Prophage dynamics in gastric and enterohepatic environments: unraveling ecological barriers and adaptive transitions.ISME communications · 2025Article
- Cultivation and molecular characterization of viable Helicobacter pylori from the root canal of 170 deciduous teeth of children.Cell communication and signaling : CCS · 2024Article
- An ancient ecospecies of Helicobacter pylori.Nature · 2024Article
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- Pathogenomics of Helicobacter pylori.Current topics in microbiology and immunology · 2023Review
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- A Tripartite Efflux System Affects Flagellum Stability inInternational journal of molecular sciences · 2022Article
- THE EXPOSOME IN HUMAN EVOLUTION: FROM DUST TO DIESEL.The Quarterly review of biology · 2019Article
- Understanding the emergence of bacterial pathogens in novel hosts.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Analysis of genetic recombination and the pan-genome of a highly recombinogenic bacteriophage species.Microbial genomics · 2019Article
- Living in Cold Blood:Frontiers in microbiology · 2019Review
- Macroevolution of gastric Helicobacter species unveils interspecies admixture and time of divergence.The ISME journal · 2018Article
- The Helicobacter pylori cell shape promoting protein Csd5 interacts with the cell wall, MurF, and the bacterial cytoskeleton.Molecular microbiology · 2018Article
- Factors influencing bacterial microbiome composition in a wild non-human primate community in Taï National Park, Côte d'Ivoire.The ISME journal · 2018Article
- Relating Phage Genomes toInternational journal of molecular sciences · 2018Review
37 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Helicobacter pylori infection of humans is so old that its population genetic structure reflects that of ancient human migrations. A closely related species, Helicobacter acinonychis, is specific for large felines, including cheetahs, lions, and tigers, whereas hosts more closely related to humans harbor more distantly related Helicobacter species. This observation suggests a jump between host species. But who ate whom and when did it happen? In order to resolve this question, we determined the genomic sequence of H. acinonychis strain Sheeba and compared it to genomes from H. pylori. The conserved core genes between the genomes are so similar that the host jump probably occurred within the last 200,000 (range 50,000-400,000) years. However, the Sheeba genome also possesses unique features that indicate the direction of the host jump, namely from early humans to cats. Sheeba possesses an unusually large number of highly fragmented genes, many encoding outer membrane proteins, which may have been destroyed in order to bypass deleterious responses from the feline host immune system. In addition, the few Sheeba-specific genes that were found include a cluster of genes encoding sialylation of the bacterial cell surface carbohydrates, which were imported by horizontal genetic exchange and might also help to evade host immune defenses. These results provide a genomic basis for elucidating molecular events that allow bacteria to adapt to novel animal hosts.
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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.