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Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch
We apply mathematical modelling to explore bacteria-phage interaction mediated by condition-dependent lysogeny, where the type of the phage infection cycle (lytic or lysogenic) is determined by the ambient temperature. In a natural environment, daily and seasonal variations of the temperature cause...
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Published in: | Scientific reports 2021-02, Vol.11 (1), p.4382-4382, Article 4382 |
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description | We apply mathematical modelling to explore bacteria-phage interaction mediated by condition-dependent lysogeny, where the type of the phage infection cycle (lytic or lysogenic) is determined by the ambient temperature. In a natural environment, daily and seasonal variations of the temperature cause a frequent switch between the two infection scenarios, making the bacteria-phage interaction with condition-dependent lysogeny highly complex. As a case study, we explore the natural control of the pathogenic bacteria
Burkholderia pseudomallei
by its dominant phage.
B. pseudomallei
is the causative agent of melioidosis, which is among the most fatal diseases in Southeast Asia and across the world. We assess the spatial aspect of
B. pseudomallei
-phage interactions in soil, which has been so far overlooked in the literature, using the reaction-diffusion PDE-based framework with external forcing through daily and seasonal parameter variation. Through extensive computer simulations for realistic biological parameters, we obtain results suggesting that phages may regulate
B. pseudomallei
numbers across seasons in endemic areas, and that the abundance of highly pathogenic phage-free bacteria shows a clear annual cycle. The model predicts particularly dangerous soil layers characterised by high pathogen densities. Our findings can potentially help refine melioidosis prevention and monitoring practices. |
doi_str_mv | 10.1038/s41598-021-83773-1 |
format | article |
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Burkholderia pseudomallei
by its dominant phage.
B. pseudomallei
is the causative agent of melioidosis, which is among the most fatal diseases in Southeast Asia and across the world. We assess the spatial aspect of
B. pseudomallei
-phage interactions in soil, which has been so far overlooked in the literature, using the reaction-diffusion PDE-based framework with external forcing through daily and seasonal parameter variation. Through extensive computer simulations for realistic biological parameters, we obtain results suggesting that phages may regulate
B. pseudomallei
numbers across seasons in endemic areas, and that the abundance of highly pathogenic phage-free bacteria shows a clear annual cycle. The model predicts particularly dangerous soil layers characterised by high pathogen densities. Our findings can potentially help refine melioidosis prevention and monitoring practices.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-021-83773-1</identifier><identifier>PMID: 33623124</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/158 ; 631/181 ; 631/326 ; 639/705 ; 639/705/1041 ; 639/705/1042 ; Ambient temperature ; Bacteria ; Humanities and Social Sciences ; Life cycles ; Lysogeny ; Mathematical models ; Melioidosis ; multidisciplinary ; Natural environment ; Phages ; Science ; Science (multidisciplinary) ; Seasonal variations</subject><ispartof>Scientific reports, 2021-02, Vol.11 (1), p.4382-4382, Article 4382</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c577t-324e950181fadb67633cb77f23aaa34236f30a3db7e5083d2c3b99cbaf173be73</citedby><cites>FETCH-LOGICAL-c577t-324e950181fadb67633cb77f23aaa34236f30a3db7e5083d2c3b99cbaf173be73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2492469386/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2492469386?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25731,27901,27902,36989,36990,44566,53766,53768,74869</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33623124$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Egilmez, Halil I.</creatorcontrib><creatorcontrib>Morozov, Andrew Yu</creatorcontrib><creatorcontrib>Galyov, Edouard E.</creatorcontrib><title>Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>We apply mathematical modelling to explore bacteria-phage interaction mediated by condition-dependent lysogeny, where the type of the phage infection cycle (lytic or lysogenic) is determined by the ambient temperature. In a natural environment, daily and seasonal variations of the temperature cause a frequent switch between the two infection scenarios, making the bacteria-phage interaction with condition-dependent lysogeny highly complex. As a case study, we explore the natural control of the pathogenic bacteria
Burkholderia pseudomallei
by its dominant phage.
B. pseudomallei
is the causative agent of melioidosis, which is among the most fatal diseases in Southeast Asia and across the world. We assess the spatial aspect of
B. pseudomallei
-phage interactions in soil, which has been so far overlooked in the literature, using the reaction-diffusion PDE-based framework with external forcing through daily and seasonal parameter variation. Through extensive computer simulations for realistic biological parameters, we obtain results suggesting that phages may regulate
B. pseudomallei
numbers across seasons in endemic areas, and that the abundance of highly pathogenic phage-free bacteria shows a clear annual cycle. The model predicts particularly dangerous soil layers characterised by high pathogen densities. Our findings can potentially help refine melioidosis prevention and monitoring practices.</description><subject>631/158</subject><subject>631/181</subject><subject>631/326</subject><subject>639/705</subject><subject>639/705/1041</subject><subject>639/705/1042</subject><subject>Ambient temperature</subject><subject>Bacteria</subject><subject>Humanities and Social Sciences</subject><subject>Life cycles</subject><subject>Lysogeny</subject><subject>Mathematical models</subject><subject>Melioidosis</subject><subject>multidisciplinary</subject><subject>Natural environment</subject><subject>Phages</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Seasonal variations</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9ks1u1DAQgCMEolXpC3BAlrhwCfgvsX1BQhU_lYq4wNmynUniVdYOtpeyL8Ez4-2W0nIgF8eebz7b42ma5wS_JpjJN5mTTskWU9JKJgRryaPmlGLetZRR-vje_0lznvMG16-jihP1tDlhrKeMUH7a_PocB1gWHyZUZkB5NcXHAts1JrMgF7frAj992aM4Ih8KJOMqEDKyUK4BAqoJc5wgeIdsjUHyBpkwIIPW2UyArn2Z6-SgrMlll6AdYIUwQCho8SMgt3dL3bmCbn7WPBnNkuH8djxrvn14__XiU3v15ePlxbur1nVClJZRDqrDRJLRDLYXPWPOCjFSZoxhnLJ-ZNiwwQrosGQDdcwq5awZiWAWBDtrLo_eIZqNXpPfmrTX0Xh9sxDTpE0qvh5MW0kFpngcVW-54oMUshYPU86lwsK66np7dK07u4XB1YvV2j2QPowEP-sp_tBCYSq7rgpe3QpS_L6DXPTWZ1dfxQSIu6wpVwzXh2aqoi__QTdxl0It1YGivFdM9pWiR8qlmHOC8e4wBOtD9-hj9-gq1Tfdo0lNenH_Gncpf3qlAuwI5BoKE6S_e_9H-xvUVtJm</recordid><startdate>20210223</startdate><enddate>20210223</enddate><creator>Egilmez, Halil I.</creator><creator>Morozov, Andrew Yu</creator><creator>Galyov, Edouard E.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><general>Nature Portfolio</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</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>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210223</creationdate><title>Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch</title><author>Egilmez, Halil I. ; Morozov, Andrew Yu ; Galyov, Edouard E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c577t-324e950181fadb67633cb77f23aaa34236f30a3db7e5083d2c3b99cbaf173be73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>631/158</topic><topic>631/181</topic><topic>631/326</topic><topic>639/705</topic><topic>639/705/1041</topic><topic>639/705/1042</topic><topic>Ambient temperature</topic><topic>Bacteria</topic><topic>Humanities and Social Sciences</topic><topic>Life cycles</topic><topic>Lysogeny</topic><topic>Mathematical models</topic><topic>Melioidosis</topic><topic>multidisciplinary</topic><topic>Natural environment</topic><topic>Phages</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Seasonal variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Egilmez, Halil I.</creatorcontrib><creatorcontrib>Morozov, Andrew Yu</creatorcontrib><creatorcontrib>Galyov, Edouard E.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Biological Sciences</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Egilmez, Halil I.</au><au>Morozov, Andrew Yu</au><au>Galyov, Edouard E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2021-02-23</date><risdate>2021</risdate><volume>11</volume><issue>1</issue><spage>4382</spage><epage>4382</epage><pages>4382-4382</pages><artnum>4382</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>We apply mathematical modelling to explore bacteria-phage interaction mediated by condition-dependent lysogeny, where the type of the phage infection cycle (lytic or lysogenic) is determined by the ambient temperature. In a natural environment, daily and seasonal variations of the temperature cause a frequent switch between the two infection scenarios, making the bacteria-phage interaction with condition-dependent lysogeny highly complex. As a case study, we explore the natural control of the pathogenic bacteria
Burkholderia pseudomallei
by its dominant phage.
B. pseudomallei
is the causative agent of melioidosis, which is among the most fatal diseases in Southeast Asia and across the world. We assess the spatial aspect of
B. pseudomallei
-phage interactions in soil, which has been so far overlooked in the literature, using the reaction-diffusion PDE-based framework with external forcing through daily and seasonal parameter variation. Through extensive computer simulations for realistic biological parameters, we obtain results suggesting that phages may regulate
B. pseudomallei
numbers across seasons in endemic areas, and that the abundance of highly pathogenic phage-free bacteria shows a clear annual cycle. The model predicts particularly dangerous soil layers characterised by high pathogen densities. Our findings can potentially help refine melioidosis prevention and monitoring practices.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33623124</pmid><doi>10.1038/s41598-021-83773-1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/158 631/181 631/326 639/705 639/705/1041 639/705/1042 Ambient temperature Bacteria Humanities and Social Sciences Life cycles Lysogeny Mathematical models Melioidosis multidisciplinary Natural environment Phages Science Science (multidisciplinary) Seasonal variations |
title | Modelling the spatiotemporal complexity of interactions between pathogenic bacteria and a phage with a temperature-dependent life cycle switch |
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