FN Archimer Export Format
PT J
TI Endemic infection can shape exposure to novel pathogens: Pathogen co-occurrence networks in the Serengeti lions
BT 
AF FOUNTAIN-JONES, Nicholas M.
   PACKER, Craig
   JACQUOT, Maude
   BLANCHET, F. Guillaume
   TERIO, Karen
   CRAFT, Meggan E.
AS 1:1;2:2;3:3;4:4;5:5;6:1;
FF 1:;2:;3:;4:;5:;6:;
C1 Univ Minnesota, Dept Vet Populat Med, 1365 Gortner Ave, St Paul, MN 55108 ,USA.
   Univ Minnesota, Dept Ecol Evolut & Behav, St Paul, MN 55408 ,USA.
   INRA, EPIA, UMR346, Epidemiol Malad Anim & Zoonot, F-63122 St Genes Champanelle, France.
   Univ Sherbrooke, Dept Biol, 2500 Blvd Univ, Sherbrooke, PQ J1K 2R1, Canada.
   Univ Illinois, Zool Pathol Program, Urbana, IL 61801 ,USA.
C2 UNIV MINNESOTA, USA
   UNIV MINNESOTA, USA
   INRAE, FRANCE
   UNIV SHERBROOKE, CANADA
   UNIV ILLINOIS, USA
IF 8.665
TC 12
UR https://archimer.ifremer.fr/doc/00667/77883/88227.pdf
LA English
DT Article
DE ;Babesia;calicivirus;canine distemper virus;co-infection;community assembly;coronavirus;feline immunodeficiency virus;parvovirus
AB 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. 
PY 2019
PD JUL
SO Ecology Letters
SN 1461-023X
PU Wiley
VL 22
IS 6
UT 000475698000002
BP 904
EP 913
DI 10.1111/ele.13250
ID 77883
ER

EF