FN Archimer Export Format PT J TI Determinants of haemosporidian single- and co-infection risks in western palearctic birds BT AF Pigeault, Romain Chevalier, Mathieu Cozzarolo, Camille-Sophie Baur, Molly Arlettaz, Mathilde Cibois, Alice Keiser, André Guisan, Antoine Christe, Philippe Glaizot, Olivier AS 1:1,2;2:1,3;3:1,4;4:1;5:1;6:5;7:6;8:1;9:1;10:1,6; FF 1:;2:PDG-ODE-DYNECO-LEBCO;3:;4:;5:;6:;7:;8:;9:;10:; C1 Department of Ecology and Evolution, CH-1015 Lausanne, Switzerland Laboratoire EBI, Equipe EES, UMR CNRS 7267, 86000 Poitiers, France Ifremer, Centre de Bretagne, DYNECO-LEBCO, CS 10070, 29280 Plouzané, France Biogéosciences, UMR 6282, CNRS, université Bourgogne Franche-Comté, 6 boulevard Gabriel, 21000 Dijon, France Natural History Museum of Geneva, C.P. 6434, CH-1211 Genève 6, Switzerland Musée cantonal de zoologie, CH-1014 Lausanne, Switzerland C2 UNIV LAUSANNE, SWITZERLAND CNRS, FRANCE IFREMER, FRANCE UNIV BOURGOGNE FRANCHE COMTE, FRANCE NHM, SWITZERLAND MUSEE CANTONAL ZOOLOGIE, SWITZERLAND SI BREST SE PDG-ODE-DYNECO-LEBCO IN WOS Ifremer UPR copubli-france copubli-univ-france copubli-int-hors-europe IF 4 TC 4 UR https://archimer.ifremer.fr/doc/00786/89846/95308.pdf https://archimer.ifremer.fr/doc/00786/89846/95309.docx https://archimer.ifremer.fr/doc/00786/89846/95310.docx https://archimer.ifremer.fr/doc/00786/89846/95311.docx LA English DT Article DE ;Bayesian inference;Climatic niche;Co-infection;Geographic range;Haemoproteus;Leucocytozoon;Phylogenetic signal;Plasmodium AB Understanding the drivers of infection risk helps us to detect the most at-risk species in a community and identify species whose intrinsic characteristics could act as potential reservoirs of pathogens. This knowledge is crucial if we are to predict the emergence and evolution of infectious diseases. To date, most studies have only focused on infections caused by a single parasite, leaving out co-infections. Yet, co-infections are of paramount importance in understanding the ecology and evolution of host-parasite interactions due to the wide range of effects they can have on host fitness and on the evolutionary trajectories of parasites. Here, we used a multinomial Bayesian phylogenetic modelling framework to explore the extent to which bird ecology and phylogeny impact the probability of being infected by one genus (hereafter single infection) or by multiple genera (hereafter co-infection) of haemosporidian parasites. We show that while nesting and migration behaviours influenced both the probability of being single- and co-infected, species position along the slow-fast life-history continuum and geographic range size were only pertinent in explaining variation in co-infection risk. We also found evidence for a phylogenetic conservatism regarding both single- and co-infections, indicating that phylogenetically related bird species tend to have similar infection patterns. This phylogenetic signal was four times stronger for co-infections than for single infections, suggesting that co-infections may act as a stronger selective pressure than single infections. Overall, our study underscores the combined influence of hosts’ evolutionary history and attributes in determining infection risk in avian host communities. These results also suggest that co-infection risk might be under stronger deterministic control than single infection risk, potentially paving the way toward a better understanding of the emergence and evolution of infectious diseases. PY 2022 PD AUG SO International Journal For Parasitology SN 0020-7519 PU Elsevier BV VL 52 IS 9 UT 000864690200004 BP 617 EP 627 DI 10.1016/j.ijpara.2022.05.002 ID 89846 ER EF