title: The games plant viruses play.
abstract: Mixed virus infections in plants are common in nature. The outcome of such virus-virus interactions ranges from cooperation and coexistence (synergism) to mutual exclusion (antagonism). A priori, the outcome of mixed infections is hard to predict. To date, the analyses of plant virus mixed infections were limited to reports of emerging symptoms and/or to qualitative, at best quantitative, descriptions of the accumulation of both viruses. Here, we show that evolutionary game theory provides an adequate theoretical framework to analyze mixed viral infections and to predict the long-term evolution of the mixed populations.
authors: Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Campus UPV CPI 8E, Ingeniero Fausto Elio s/n, València 46022, Spain; The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA. Electronic address: sfelena@ibmcp.upv.es.
authors: Santiago F
authors: SF
authors: Elena
authors: Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Campus UPV CPI 8E, Ingeniero Fausto Elio s/n, València 46022, Spain.
authors: Guillermo P
authors: GP
authors: Bernet
authors: Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Campus UPV CPI 8E, Ingeniero Fausto Elio s/n, València 46022, Spain.
authors: José L
authors: JL
authors: Carrasco
mesh_terms: D005075:Biological Evolution; D060085:Coinfection / Q000821:virology*; D056265:Microbial Interactions; D015233:Models, Statistical; D010935:Plant Diseases / Q000821:virology*; D010942:Plant Viruses / Q000502:physiology*; D010944:Plants / Q000821:virology*