TY - JOUR
T1 - Type III secretion system effectors form robust and flexible intracellular virulence networks
AU - Ruano-Gallego, David
AU - Sanchez-Garrido, Julia
AU - Kozik, Zuzanna
AU - Núñez-Berrueco, Elena
AU - Cepeda-Molero, Massiel
AU - Mullineaux-Sanders, Caroline
AU - Clark, Jasmine Naemi Baghshomali
AU - Slater, Sabrina L.
AU - Wagner, Naama
AU - Glegola-Madejska, Izabela
AU - Roumeliotis, Theodoros I.
AU - Pupko, Tal
AU - Fernández, Luis Ángel
AU - Rodríguez-Patón, Alfonso
AU - Choudhary, Jyoti S.
AU - Frankel, Gad
N1 - Publisher Copyright: © 2021 American Association for the Advancement of Science. All rights reserved.
PY - 2021/3/12
Y1 - 2021/3/12
N2 - Infections with many Gram-negative pathogens, including Escherichia coli, Salmonella, Shigella, and Yersinia, rely on type III secretion system (T3SS) effectors. We hypothesized that while hijacking processes within mammalian cells, the effectors operate as a robust network that can tolerate substantial contractions. This was tested in vivo using the mouse pathogen Citrobacter rodentium (encoding 31 effectors). Sequential gene deletions showed that effector essentiality for infection was context dependent and that the network could tolerate 60% contraction while maintaining pathogenicity. Despite inducing very different colonic cytokine profiles (e.g., interleukin-22, interleukin-17, interferon-g, or granulocyte-macrophage colony-stimulating factor), different networks induced protective immunity. Using data from >100 distinct mutant combinations, we built and trained a machine learning model able to predict colonization outcomes, which were confirmed experimentally. Furthermore, reproducing the human-restricted enteropathogenic E. coli effector repertoire in C. rodentium was not sufficient for efficient colonization, which implicates effector networks in host adaptation. These results unveil the extreme robustness of both T3SS effector networks and host responses.
AB - Infections with many Gram-negative pathogens, including Escherichia coli, Salmonella, Shigella, and Yersinia, rely on type III secretion system (T3SS) effectors. We hypothesized that while hijacking processes within mammalian cells, the effectors operate as a robust network that can tolerate substantial contractions. This was tested in vivo using the mouse pathogen Citrobacter rodentium (encoding 31 effectors). Sequential gene deletions showed that effector essentiality for infection was context dependent and that the network could tolerate 60% contraction while maintaining pathogenicity. Despite inducing very different colonic cytokine profiles (e.g., interleukin-22, interleukin-17, interferon-g, or granulocyte-macrophage colony-stimulating factor), different networks induced protective immunity. Using data from >100 distinct mutant combinations, we built and trained a machine learning model able to predict colonization outcomes, which were confirmed experimentally. Furthermore, reproducing the human-restricted enteropathogenic E. coli effector repertoire in C. rodentium was not sufficient for efficient colonization, which implicates effector networks in host adaptation. These results unveil the extreme robustness of both T3SS effector networks and host responses.
UR - http://www.scopus.com/inward/record.url?scp=85102558319&partnerID=8YFLogxK
U2 - 10.1126/science.abc9531
DO - 10.1126/science.abc9531
M3 - مقالة
C2 - 33707240
SN - 0036-8075
VL - 371
JO - Science
JF - Science
IS - 6534
M1 - eabc9531
ER -