2022
DOI: 10.1016/j.tim.2021.10.007
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The type III secretion system effector network hypothesis

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Cited by 46 publications
(20 citation statements)
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“…Numerous Gram-negative bacteria are reported to infect host cells that are dependent on the type III secretion system ( Ruano-Gallego et al, 2021 ; Sanchez-Garrido et al, 2021 ). This system is associated with bacterial invasion and intracellular growth, thereby affecting the efficiency of bacterial clearance and initial transient localization ( Kang et al, 2022 ).…”
Section: Resultsmentioning
confidence: 99%
“…Numerous Gram-negative bacteria are reported to infect host cells that are dependent on the type III secretion system ( Ruano-Gallego et al, 2021 ; Sanchez-Garrido et al, 2021 ). This system is associated with bacterial invasion and intracellular growth, thereby affecting the efficiency of bacterial clearance and initial transient localization ( Kang et al, 2022 ).…”
Section: Resultsmentioning
confidence: 99%
“…By native delivery of a tagged T3E upon infection, for example, the EH-PPI network exploited by the T3E could be investigated at different timepoints and/or in different hosts. As effectors seem to function in tightly connected networks, information on their potential cooperativity in the plant cell could also improve our understanding of bacterial pathogen-mediated disease development in plants ( Sanchez-Garrido et al, 2021 ). Finally, collaborative efforts of the scientific community will allow the full functional description of the effectome and help understand the disease in general.…”
Section: Discussionmentioning
confidence: 99%
“…As single T3E mutants rarely show an altered phenotype, T3Es have been hypothesized to form a robust interconnected network, in which the effectors can be seen as nodes and the interaction between the effectors or their cellular partners as edges, providing the bacterium with a certain flexibility ( Sanchez-Garrido et al, 2021 ). However, this network robustness is limited, because individual effectors can become essential when part of the network is perturbed ( Ruano-Gallego et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…In this review, we discussed previously reported besides more recently developed state-of-the-art methods for elucidating (real-time) bacterial effector secretion, and elaborated on their latest advances and shortcomings. Implementation of these methods will enlighten an effector's mode of action by providing knowledge of timing of effector secretion, quantities of secreted effector, order of effector secretion and context-dependent effector network dynamics [110,111]. Integrating these data with for example effector-host protein interaction data or effector expression data (e.g., dual RNA-seq data) will eventually enable us to shed better lights on bacterial effector biology, potentially leading to the development of new therapeutics [112].…”
Section: Discussionmentioning
confidence: 99%