ArticleCell host & microbe2021
Systematic reconstruction of an effector-gene network reveals determinants of Salmonella cellular and tissue tropism.
Article in Cell host & microbe, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
30 citing papers in PubMed, 37 citations in OpenAlex.
- The Manipulation of Host Cells byInternational journal of molecular sciences · 2026Review
- Design of a live-attenuated bacterial vaccine using effector network engineering.Nature communications · 2026Article
- Provision of preferred nutrients to macrophages promotes Salmonella intracellular replication without relying on Type III secretion systems.PLoS pathogens · 2026Article
- [3 + 2] Cycloadditions of Tertiary AmineACS organic & inorganic Au · 2026Article
- From gene-for-gene to NLRome-for-effectorome: decoding the dynamic interplay between phytopathogenic effector networks and plant immune systems.FEMS microbiology reviews · 2026Review
- Molecular strategies ofFrontiers in cellular and infection microbiology · 2026Review
- The accessory type III secretion system effectors collectively shape intestinal inflammatory infection outcomes.Gut microbes · 2025Article
- TTSS-2 virulence drives inflammatory destruction of the gut epithelial barrier and modulates inflammatory response profiles in the Salmonella-infected mouse gut.PLoS pathogens · 2025Article
- Salmonella multimutants enable efficient identification of SPI-2 effector protein function in gut inflammation and systemic colonization.Nature communications · 2025Article
- Single-cell analysis of genetically minimized Salmonella reveals effector gene cooperation in vivo.Nature microbiology · 2025Article
- Proximity labelling reveals VPS13C as a regulator of Salmonella-containing vacuole fission.PLoS pathogens · 2025Article
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- Mechanisms conferring multi-layered protection against intestinal Salmonella Typhimurium infection.FEMS microbiology reviews · 2025Review
- Antagonistic Effects of Actin-Specific Toxins onBiomolecules · 2024Article
- Antagonistic effects of actin-specific toxins onbioRxiv : the preprint server for biology · 2024Article
- Exploiting bacterial effector proteins to uncover evolutionarily conserved antiviral host machinery.PLoS pathogens · 2024Article
- Functional Divergence of the ParalogInternational journal of molecular sciences · 2024Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
The minimal genetic requirements for microbes to survive within multiorganism communities, including host-pathogen interactions, remain poorly understood. Here, we combined targeted gene mutagenesis with phenotype-guided genetic reassembly to identify a cooperative network of SPI-2 T3SS effector genes that are sufficient for Salmonella Typhimurium (STm) to cause disease in a natural host organism. Five SPI-2 effector genes support pathogen survival within the host cell cytoplasm by coordinating bacterial replication with Salmonella-containing vacuole (SCV) division. Unexpectedly, this minimal genetic repertoire does not support STm systemic infection of mice. In vivo screening revealed a second effector-gene network, encoded by the spv operon, that expands the life cycle of STm from growth in cells to deep-tissue colonization in a murine model of typhoid fever. Comparison between Salmonella infection models suggests how cooperation between effector genes drives tissue tropism in a pathogen group.
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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.