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The Infectious Dose Shapes Vibrio cholerae Within-Host Dynamics
During infection, the rates of pathogen replication, death, and migration affect disease progression, dissemination, transmission, and resistance evolution. Here, we follow the population dynamics of Vibrio cholerae in a mouse model by labeling individual bacteria with one of >500 unique, fitness...
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Published in: | mSystems 2021-12, Vol.6 (6), p.e0065921-e0065921 |
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description | During infection, the rates of pathogen replication, death, and migration affect disease progression, dissemination, transmission, and resistance evolution. Here, we follow the population dynamics of Vibrio cholerae in a mouse model by labeling individual bacteria with one of >500 unique, fitness-neutral genomic tags. Using the changes in tag frequencies and CFU numbers, we inform a mathematical model that describes the within-host spatiotemporal bacterial dynamics. This allows us to disentangle growth, death, forward, and retrograde migration rates continuously during infection. Our model has robust predictive power across various experimental setups. The population dynamics of V. cholerae shows substantial spatiotemporal heterogeneity in replication, death, and migration. Importantly, we find that the niche available to V. cholerae in the host increases with inoculum size, suggesting cooperative effects during infection. Therefore, it is not enough to consider just the likelihood of exposure (50% infectious dose) but rather the magnitude of exposure to predict outbreaks.
Determining the rates of bacterial migration, replication, and death during infection is important for understanding how infections progress. Separately measuring these rates is often difficult in systems where multiple processes happen simultaneously. Here, we use next-generation sequencing to measure V. cholerae migration, replication, death, and niche size along the mouse gastrointestinal tract. We show that the small intestine of the mouse is a heterogeneous environment, and the population dynamic characteristics change substantially between adjacent gut sections. Our approach also allows us to characterize the effect of inoculum size on these processes. We find that the niche size in mice increases with the infectious dose, hinting at cooperative effects in larger inocula. The dose-response relationship between inoculum size and final pathogen burden is important for the infected individual and is thought to influence the progression of V. cholerae epidemics. |
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Determining the rates of bacterial migration, replication, and death during infection is important for understanding how infections progress. Separately measuring these rates is often difficult in systems where multiple processes happen simultaneously. Here, we use next-generation sequencing to measure V. cholerae migration, replication, death, and niche size along the mouse gastrointestinal tract. We show that the small intestine of the mouse is a heterogeneous environment, and the population dynamic characteristics change substantially between adjacent gut sections. Our approach also allows us to characterize the effect of inoculum size on these processes. We find that the niche size in mice increases with the infectious dose, hinting at cooperative effects in larger inocula. The dose-response relationship between inoculum size and final pathogen burden is important for the infected individual and is thought to influence the progression of V. cholerae epidemics.</description><identifier>ISSN: 2379-5077</identifier><identifier>EISSN: 2379-5077</identifier><identifier>DOI: 10.1128/mSystems.00659-21</identifier><identifier>PMID: 34874769</identifier><language>eng</language><publisher>United States: American Society for Microbiology</publisher><subject>Bacteria ; Bacterial infections ; Computational Biology ; Death ; Disease transmission ; dose response ; founder population size ; Gastrointestinal tract ; Genomes ; Infections ; Inoculum ; Mathematical models ; Microscopy ; moment closure ; Next-generation sequencing ; particle swarm optimization ; Pathogens ; Population ; Population dynamics ; Replication ; Research Article ; Small intestine ; stochastic spatiotemporal population dynamics ; Vibrio cholerae</subject><ispartof>mSystems, 2021-12, Vol.6 (6), p.e0065921-e0065921</ispartof><rights>Copyright © 2021 Gillman et al.</rights><rights>Copyright © 2021 Gillman et al. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>info:eu-repo/semantics/openAccess</rights><rights>Copyright © 2021 Gillman et al. 2021 Gillman et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a556t-263ee20f549be3260978a08cf5d66567b9d6da051c72c5278f6d23d63886c6333</citedby><cites>FETCH-LOGICAL-a556t-263ee20f549be3260978a08cf5d66567b9d6da051c72c5278f6d23d63886c6333</cites><orcidid>0000-0002-4041-6989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2622983796?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2622983796?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3186,25752,26566,27923,27924,37011,37012,38515,43894,44589,52750,52751,52752,53790,53792,74183,74897</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34874769$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Bucci, Vanni</contributor><creatorcontrib>Gillman, Aaron Nicholas</creatorcontrib><creatorcontrib>Mahmutovic, Anel</creatorcontrib><creatorcontrib>Abel Zur Wiesch, Pia</creatorcontrib><creatorcontrib>Abel, Sören</creatorcontrib><title>The Infectious Dose Shapes Vibrio cholerae Within-Host Dynamics</title><title>mSystems</title><addtitle>mSystems</addtitle><addtitle>mSystems</addtitle><description>During infection, the rates of pathogen replication, death, and migration affect disease progression, dissemination, transmission, and resistance evolution. Here, we follow the population dynamics of Vibrio cholerae in a mouse model by labeling individual bacteria with one of >500 unique, fitness-neutral genomic tags. Using the changes in tag frequencies and CFU numbers, we inform a mathematical model that describes the within-host spatiotemporal bacterial dynamics. This allows us to disentangle growth, death, forward, and retrograde migration rates continuously during infection. Our model has robust predictive power across various experimental setups. The population dynamics of V. cholerae shows substantial spatiotemporal heterogeneity in replication, death, and migration. Importantly, we find that the niche available to V. cholerae in the host increases with inoculum size, suggesting cooperative effects during infection. Therefore, it is not enough to consider just the likelihood of exposure (50% infectious dose) but rather the magnitude of exposure to predict outbreaks.
Determining the rates of bacterial migration, replication, and death during infection is important for understanding how infections progress. Separately measuring these rates is often difficult in systems where multiple processes happen simultaneously. Here, we use next-generation sequencing to measure V. cholerae migration, replication, death, and niche size along the mouse gastrointestinal tract. We show that the small intestine of the mouse is a heterogeneous environment, and the population dynamic characteristics change substantially between adjacent gut sections. Our approach also allows us to characterize the effect of inoculum size on these processes. We find that the niche size in mice increases with the infectious dose, hinting at cooperative effects in larger inocula. The dose-response relationship between inoculum size and final pathogen burden is important for the infected individual and is thought to influence the progression of V. cholerae epidemics.</description><subject>Bacteria</subject><subject>Bacterial infections</subject><subject>Computational Biology</subject><subject>Death</subject><subject>Disease transmission</subject><subject>dose response</subject><subject>founder population size</subject><subject>Gastrointestinal tract</subject><subject>Genomes</subject><subject>Infections</subject><subject>Inoculum</subject><subject>Mathematical models</subject><subject>Microscopy</subject><subject>moment closure</subject><subject>Next-generation sequencing</subject><subject>particle swarm optimization</subject><subject>Pathogens</subject><subject>Population</subject><subject>Population dynamics</subject><subject>Replication</subject><subject>Research Article</subject><subject>Small intestine</subject><subject>stochastic spatiotemporal population dynamics</subject><subject>Vibrio cholerae</subject><issn>2379-5077</issn><issn>2379-5077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>3HK</sourceid><sourceid>DOA</sourceid><recordid>eNp9kktv1DAUhSMEolXpD2ADkdiwyeBH_MgGVLVAR6rEogWW1o1903iUxIOdQZp_j6fTKS0LNrZlH3_HOj5F8ZqSBaVMfxivt2nGMS0IkaKpGH1WHDOumkoQpZ4_Wh8VpymtCCFUckVZ87I44rVWtZLNcfHppsdyOXVoZx82qbwICcvrHtaYyh--jT6Utg8DRsDyp597P1WXIc3lxXaC0dv0qnjRwZDw9H4-Kb5_-Xxzflldffu6PD-7qkAIOVdMckRGOlE3LXImSaM0EG074aQUUrWNkw6IoFYxK5jSnXSMO8m1llZyzk-K5Z7rAqzMOvoR4tYE8OZuI8RbA3H2dkCjwAogztVcQW0ZA6CAeWydVZA9MuvjnrXetCM6i9McYXgCfXoy-d7cht9GS0GJrjPg7R5go0-zn8wUIhhKCFcmxy5lVry_t4jh1wbTbEafLA4DTJhjNjkBTTlVnGbpu3-kq7CJUw4zqxhrdP7HHZAeLENKEbuH51Jidn0whz6Yuz4YtiMv9ncgjewv9X8X3jwO5sHiUBf-BwWpv88</recordid><startdate>20211221</startdate><enddate>20211221</enddate><creator>Gillman, Aaron Nicholas</creator><creator>Mahmutovic, Anel</creator><creator>Abel Zur Wiesch, Pia</creator><creator>Abel, Sören</creator><general>American Society for Microbiology</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>3HK</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-4041-6989</orcidid></search><sort><creationdate>20211221</creationdate><title>The Infectious Dose Shapes Vibrio cholerae Within-Host Dynamics</title><author>Gillman, Aaron Nicholas ; 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Here, we follow the population dynamics of Vibrio cholerae in a mouse model by labeling individual bacteria with one of >500 unique, fitness-neutral genomic tags. Using the changes in tag frequencies and CFU numbers, we inform a mathematical model that describes the within-host spatiotemporal bacterial dynamics. This allows us to disentangle growth, death, forward, and retrograde migration rates continuously during infection. Our model has robust predictive power across various experimental setups. The population dynamics of V. cholerae shows substantial spatiotemporal heterogeneity in replication, death, and migration. Importantly, we find that the niche available to V. cholerae in the host increases with inoculum size, suggesting cooperative effects during infection. Therefore, it is not enough to consider just the likelihood of exposure (50% infectious dose) but rather the magnitude of exposure to predict outbreaks.
Determining the rates of bacterial migration, replication, and death during infection is important for understanding how infections progress. Separately measuring these rates is often difficult in systems where multiple processes happen simultaneously. Here, we use next-generation sequencing to measure V. cholerae migration, replication, death, and niche size along the mouse gastrointestinal tract. We show that the small intestine of the mouse is a heterogeneous environment, and the population dynamic characteristics change substantially between adjacent gut sections. Our approach also allows us to characterize the effect of inoculum size on these processes. We find that the niche size in mice increases with the infectious dose, hinting at cooperative effects in larger inocula. The dose-response relationship between inoculum size and final pathogen burden is important for the infected individual and is thought to influence the progression of V. cholerae epidemics.</abstract><cop>United States</cop><pub>American Society for Microbiology</pub><pmid>34874769</pmid><doi>10.1128/mSystems.00659-21</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-4041-6989</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bacteria Bacterial infections Computational Biology Death Disease transmission dose response founder population size Gastrointestinal tract Genomes Infections Inoculum Mathematical models Microscopy moment closure Next-generation sequencing particle swarm optimization Pathogens Population Population dynamics Replication Research Article Small intestine stochastic spatiotemporal population dynamics Vibrio cholerae |
title | The Infectious Dose Shapes Vibrio cholerae Within-Host Dynamics |
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