Dynamics model analysis of bacteriophage infection of bacteria
Abstract A bacteriophage (in short, phage) is a virus that can infect and replicate within bacteria. Assuming that uninfected and infected bacteria are capable of reproducing with logistic law, we investigate a model of bacteriophage infection that resembles simple SI-models widely used in epidemiol...
Guardado en:
Autores principales: | , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
SpringerOpen
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a416e9aef0ea4fe78b73da6c04cdc3de |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:a416e9aef0ea4fe78b73da6c04cdc3de |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:a416e9aef0ea4fe78b73da6c04cdc3de2021-11-14T12:10:28ZDynamics model analysis of bacteriophage infection of bacteria10.1186/s13662-021-03466-x1687-1847https://doaj.org/article/a416e9aef0ea4fe78b73da6c04cdc3de2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13662-021-03466-xhttps://doaj.org/toc/1687-1847Abstract A bacteriophage (in short, phage) is a virus that can infect and replicate within bacteria. Assuming that uninfected and infected bacteria are capable of reproducing with logistic law, we investigate a model of bacteriophage infection that resembles simple SI-models widely used in epidemiology. The dynamics of host-parasite co-extinctions may exhibit four scenarios: hosts and parasites go extinct, parasites go extinct, hosts go extinct, and hosts and parasites coexist. By using the Jacobian matrix and Bendixson–Dulac theory, local and global stability analysis of uninfected and infected steady states is provided; the basic reproduction number of the model is given; general results are supported by numerical simulations. We show that bacteriophages can reduce a host density. This provides a theoretical framework for studying the problem of whether phages can effectively prevent, control, and treat infectious diseases.Xiaoping LiRong HuangMinyuan HeSpringerOpenarticleBacteriophageVirusStabilityNumerical simulationMathematicsQA1-939ENAdvances in Difference Equations, Vol 2021, Iss 1, Pp 1-11 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Bacteriophage Virus Stability Numerical simulation Mathematics QA1-939 |
spellingShingle |
Bacteriophage Virus Stability Numerical simulation Mathematics QA1-939 Xiaoping Li Rong Huang Minyuan He Dynamics model analysis of bacteriophage infection of bacteria |
description |
Abstract A bacteriophage (in short, phage) is a virus that can infect and replicate within bacteria. Assuming that uninfected and infected bacteria are capable of reproducing with logistic law, we investigate a model of bacteriophage infection that resembles simple SI-models widely used in epidemiology. The dynamics of host-parasite co-extinctions may exhibit four scenarios: hosts and parasites go extinct, parasites go extinct, hosts go extinct, and hosts and parasites coexist. By using the Jacobian matrix and Bendixson–Dulac theory, local and global stability analysis of uninfected and infected steady states is provided; the basic reproduction number of the model is given; general results are supported by numerical simulations. We show that bacteriophages can reduce a host density. This provides a theoretical framework for studying the problem of whether phages can effectively prevent, control, and treat infectious diseases. |
format |
article |
author |
Xiaoping Li Rong Huang Minyuan He |
author_facet |
Xiaoping Li Rong Huang Minyuan He |
author_sort |
Xiaoping Li |
title |
Dynamics model analysis of bacteriophage infection of bacteria |
title_short |
Dynamics model analysis of bacteriophage infection of bacteria |
title_full |
Dynamics model analysis of bacteriophage infection of bacteria |
title_fullStr |
Dynamics model analysis of bacteriophage infection of bacteria |
title_full_unstemmed |
Dynamics model analysis of bacteriophage infection of bacteria |
title_sort |
dynamics model analysis of bacteriophage infection of bacteria |
publisher |
SpringerOpen |
publishDate |
2021 |
url |
https://doaj.org/article/a416e9aef0ea4fe78b73da6c04cdc3de |
work_keys_str_mv |
AT xiaopingli dynamicsmodelanalysisofbacteriophageinfectionofbacteria AT ronghuang dynamicsmodelanalysisofbacteriophageinfectionofbacteria AT minyuanhe dynamicsmodelanalysisofbacteriophageinfectionofbacteria |
_version_ |
1718429421611778048 |