The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Modelling within-Host Spatiotemporal Dynamics of Invasive Bacterial Disease
Open accessAbstract
Mechanistic determinants of bacterial growth, death, and spread within mammalian hosts cannot be fully resolved studying a single bacterial population. They are also currently poorly understood. Here, we report on the application of sophisticated experimental approaches to map spatiotemporal population dynamics of bacteria during an infection. We analyzed heterogeneous traits of simultaneous infections with tagged Salmonella enterica populations (wild-type isogenic tagged strains [WITS]) in wild-type and gene-targeted mice. WITS are phenotypically identical but can be distinguished and enumerated by quantitative PCR, making it possible, using probabilistic models, to estimate bacterial death rate based on the disappearance of strains through time. This multidisciplinary approach allowed us to establish the timing, relative occurrence, and immune control of key infection parameters in a true host-pathogen combination. Our analyses support a model in which shortly after infection, concomitant death and rapid bacterial replication lead to the establishment of independent bacterial subpopulations in different organs, a process controlled by host antimicrobial mechanisms. Later, decreased microbial mortality leads to an exponential increase in the number of bacteria that spread locally, with subsequent mixing of bacteria between organs via bacteraemia and further stochastic selection. This approach provides us with an unprecedented outlook on the pathogenesis of S. enterica infections, illustrating the complex spatial and stochastic effects that drive an infectious disease. The application of the novel method that we present in appropriate and diverse host-pathogen combinations, together with modelling of the data that result, will facilitate a comprehensive view of the spatial and stochastic nature of within-host dynamics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products
Datsenko, K. A., & Wanner, B. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120163297 · Cited by 14,782
High efficiency transformation of E.coli by high voltage electroporation
Dower, W. J., Miller, J. F., & Ragsdale, C. W. (1988) · Nucleic Acids Research · doi:10.1093/nar/16.13.6127 · Cited by 2,809
Aromatic-dependent Salmonella typhimurium are non-virulent and effective as live vaccines
Hoiseth, S. K., & Stocker, B. A. D. (1981) · Nature · doi:10.1038/291238a0 · Cited by 2,078
An efficient recombination system for chromosome engineering in Escherichia coli
Yu, D., Ellis, H. M., Lee, E.-C., Jenkins, N. A., Copeland, N. G., & Court, D. L. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.100127597 · Cited by 1,688
Unifying the Epidemiological and Evolutionary Dynamics of Pathogens
Grenfell, B. T., Pybus, O. G., Gog, J. R., Wood, J. L. N., Daly, J. M., Mumford, J. A., & Holmes, E. C. (2004) · Science · doi:10.1126/science.1090727 · Cited by 1,385
Simultaneous Identification of Bacterial Virulence Genes by Negative Selection
Hensel, M., Shea, J. E., Gleeson, C., Jones, M. D., Dalton, E., & Holden, D. W. (1995) · Science · doi:10.1126/science.7618105 · Cited by 1,198
Rapid modification of bacterial artificial chromosomes by ET- recombination
Muyrers, J. (1999) · Nucleic Acids Research · doi:10.1093/nar/27.6.1555 · Cited by 532
Vazquez-Torres, A., Jones-Carson, J., Mastroeni, P., Ischiropoulos, H., & Fang, F. C. (2000) · The Journal of Experimental Medicine · doi:10.1084/jem.192.2.227 · Cited by 530
Self-citationRichter-Dahlfors, A., Buchan, A. M. J., & Finlay, B. B. (1997) · The Journal of Experimental Medicine · doi:10.1084/jem.186.4.569 · Cited by 502
Mastroeni, P., Vazquez-Torres, A., Fang, F. C., Xu, Y., Khan, S., Hormaeche, C. E., & Dougan, G. (2000) · The Journal of Experimental Medicine · doi:10.1084/jem.192.2.237 · Cited by 399
Self-citationImprovement of pCVD442, a suicide plasmid for gene allele exchange in bacteria
Philippe, N., Alcaraz, J.-P., Coursange, E., Geiselmann, J., & Schneider, D. (2004) · Plasmid · doi:10.1016/j.plasmid.2004.02.003 · Cited by 369
Hautefort, I., Proença, M. J., & Hinton, J. C. D. (2003) · Applied and Environmental Microbiology · doi:10.1128/aem.69.12.7480-7491.2003 · Cited by 247
Quantitative analysis of gene expression with an improved green fluorescent protein
Scholz, O., Thiel, A., Hillen, W., & Niederweis, M. (2000) · European Journal of Biochemistry · doi:10.1046/j.1432-1327.2000.01170.x · Cited by 201
Sacristán, S., Malpica, J. M., Fraile, A., & García‐Arenal, F. (2003) · Journal of Virology · doi:10.1128/jvi.77.18.9906-9911.2003 · Cited by 164
Yersinia pseudotuberculosis disseminates directly from a replicating bacterial pool in the intestine
Barnes, P. D., Bergman, M. A., Mecsas, J., & Isberg, R. R. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20060905 · Cited by 163
Dynamics of bacterial growth and distribution within the liver duringSalmonellainfection
Sheppard, M., Webb, C. R., Heath, F., Mallows, V., Emilianus, R., Maskell, D. J., & Mastroeni, P. (2003) · Cellular Microbiology · doi:10.1046/j.1462-5822.2003.00296.x · Cited by 143
Self-citationWhy We Don't Get Sick: The Within-Host Population Dynamics of Bacterial Infections
Levin, B. R., & Antia, R. (2001) · Science · doi:10.1126/science.1058879 · Cited by 103
Dunlap, N. E., Benjamin, W. H., McCall, R. D., Tilden, A. B., & Briles, D. E. (1991) · Microbial Pathogenesis · doi:10.1016/0882-4010(91)90013-z · Cited by 97
Intracellular Demography and the Dynamics of Salmonella enterica Infections
Brown, S. P., Cornell, S. J., Sheppard, M., Grant, A. J., Maskell, D. J., Grenfell, B. T., & Mastroeni, P. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040349 · Cited by 75
Self-citationMaskell, D. J., Hormaeche, C. E., Harrington, K. A., Joysey, H. S., & Liew, F. Y. (1987) · Microbial Pathogenesis · doi:10.1016/0882-4010(87)90127-6 · Cited by 64
Self-citationA ‘safe-site’ for Salmonella typhimurium is within splenic polymorphonuclear cells
Dunlap, N. E., Benjamin, W. H., Berry, A., Eldridge, J. H., & Briles, D. E. (1992) · Microbial Pathogenesis · doi:10.1016/0882-4010(92)90019-k · Cited by 57
Mo, E., Peters, S. E., Willers, C., Maskell, D. J., & Charles, I. G. (2006) · Microbial Pathogenesis · doi:10.1016/j.micpath.2006.07.004 · Cited by 54
Self-citationWhite, J. K., Mastroeni, P., Popoff, J.-F., Evans, C. A., & Blackwell, J. M. (2004) · Journal of Leukocyte Biology · doi:10.1189/jlb.0904546 · Cited by 51
Self-citationIndependent-Action and Birth-Death Models in Experimental Microbiology
Shortley, G. H., & Wilkins, J. R. (1965) · Bacteriological Reviews · doi:10.1128/br.29.1.102-141.1965 · Cited by 51
Questions about the behaviour of bacterial pathogens in vivo
Smith, H. C. (2000) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2000.0597 · Cited by 46
Cited by
Targeting virulence: can we make evolution-proof drugs?
Allen, R. C., Popat, R., Diggle, S. P., & Brown, S. P. (2014) · Nature Reviews Microbiology · doi:10.1038/nrmicro3232 · Cited by 532
High-avidity IgA protects the intestine by enchaining growing bacteria
Moor, K., Diard, M., Sellin, M. E., Felmy, B., Wotzka, S. Y., Toska, A., Bakkeren, E., Arnoldini, M., Bansept, F., Co, A. D., et al. (2017) · Nature · doi:10.1038/nature22058 · Cited by 420
The Role of Macrophages in Staphylococcus aureus Infection
Pidwill, G. R., Gibson, J. F., Cole, J., Renshaw, S. A., & Foster, S. J. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2020.620339 · Cited by 341
Burton, N. A., Schürmann, N., Casse, O., Steeb, A. K., Claudi, B., Zankl, J., Schmidt, A., & Bumann, D. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2013.12.006 · Cited by 175
Host resistance factor SLC11A1 restricts Salmonella growth through magnesium deprivation
Cunrath, O., & Bumann, D. (2019) · Science · doi:10.1126/science.aax7898 · Cited by 177
Metadata
- Authors
- Grant, A. J., Restif, O., McKinley, T. J., Sheppard, M., Maskell, D. J., & Mastroeni, P.
- Venue
- PLoS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2008-04-08
- Volume
- 6
- Issue
- 4
- Pages
- e74
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W1995143038
- Cited by
- 259
- References
- 25
- FWCI
- 13.74
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
