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10.1111/ele.13250 http://scihub22266oqcxt.onion/10.1111/ele.13250 30861289!7163671!30861289     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ecol+Lett 2019 ; 22 (6): 904-913 Nephropedia Template TP {{tp|p=30861289|t=2019. Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions |pdf=|usr=}}{{30861289}} gab.com Text Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions JO: Ecol Lett http://www.kidney.de/pget.php?&tw=1&pmid=30861289 #FOAvip Pathogens are embedded in a complex network of microparasites that can collectively or individually alter disease dynamics and outcomes. Endemic pathogens that infect an individual in the first years of life, for example, can either facilitate or compete with subsequent pathogens thereby exacerbating or ameliorating morbidity and mortality. Pathogen associations are ubiquitous but poorly understood, particularly in wild populations. We report here on 10 years of serological and molecular data in African lions, leveraging comprehensive demographic and behavioural data to test if endemic pathogens shape subsequent infection by epidemic pathogens. We combine network and community ecology approaches to assess broad network structure and characterise associations between pathogens across spatial and temporal scales. We found significant non-random structure in the lion-pathogen co-occurrence network and identified both positive and negative associations between endemic and epidemic pathogens. Our results provide novel insights on the complex associations underlying pathogen co-occurrence networks. Twit Text FOAVip Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions ????Ecol Lett http://www.kidney.de/pget.php?&tw=1&pmid=30861289 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30861289 #FOAvip English Wikipedia <ref>{{Cite pmid|30861289}}</ref> Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions #MMPMID30861289 Fountain-Jones NM; Packer C; Jacquot M; Blanchet FG; Terio K; Craft ME Ecol Lett 2019[Jun]; 22 (6): 904-913 PMID30861289show ga Pathogens are embedded in a complex network of microparasites that can collectively or individually alter disease dynamics and outcomes. Endemic pathogens that infect an individual in the first years of life, for example, can either facilitate or compete with subsequent pathogens thereby exacerbating or ameliorating morbidity and mortality. Pathogen associations are ubiquitous but poorly understood, particularly in wild populations. We report here on 10 years of serological and molecular data in African lions, leveraging comprehensive demographic and behavioural data to test if endemic pathogens shape subsequent infection by epidemic pathogens. We combine network and community ecology approaches to assess broad network structure and characterise associations between pathogens across spatial and temporal scales. We found significant non-random structure in the lion-pathogen co-occurrence network and identified both positive and negative associations between endemic and epidemic pathogens. Our results provide novel insights on the complex associations underlying pathogen co-occurrence networks. |*Lions/microbiology/parasitology[MESH] |Animals[MESH]Endemic infection can shape exposure to novel pathogens: Pathogen co-o(epmc).pdf DeepDyve Pubget Overpricing