What Evolutionary Biologists Can Learn from Artificial Life

dc.centroE.T.S.I. Informáticaen_US
dc.contributor.authorElena Fito, Santiago
dc.date.accessioned2019-04-11T10:55:22Z
dc.date.available2019-04-11T10:55:22Z
dc.date.created2019-04-10
dc.date.issued2019-04-11
dc.departamentoLenguajes y Ciencias de la Computación
dc.description.abstractBig questions in Evolutionary Biology and experimental limitations - The evolution of complex traits. - The role of neutral variation in adaptive evolution. - Selection for fitness vs selection for robustness. - The topography of adaptive landscapes and the evolution of landscapes. - Eco-evolutionary dynamics: how evolution changes ecology and how ecology modulates evolution. - Evolution of phenotype-genotype maps. - The evolution of genetic systems (sex, speciation, genome architecture). The advantages of microbial Experimental Evolution - They are easy to propagate and enumerate. - They reproduce quickly, which allows experiments to run for many generations. - They allow large populations in small spaces, which facilitates experimental replication. -They can be stored in suspended animation and later revived, which allows the direct comparison of ancestral and evolved types. -Many microbes reproduce asexually and the resulting clonality enhances the precision of experimental replication. -Asexuality also maintains linkage between a genetic marker and the genomic background into which it is placed, which facilitates fitness measurements. -It is easy to manipulate environmental variables, such as resources, as well as the genetic composition of founding populations. - There are abundant molecular and genomic data for many species, as well as techniques for their precise genetic analysis and manipulation.en_US
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. BitLab (http://www.bitlab-es.com) Universidad de Málagaen_US
dc.identifier.urihttps://hdl.handle.net/10630/17522
dc.language.isospaen_US
dc.relation.eventdate10/4/2019en_US
dc.relation.eventplaceMálaga, Españaen_US
dc.relation.eventtitleConferenciaen_US
dc.rights.accessRightsopen accessen_US
dc.subjectBiologíaen_US
dc.subjectEvoluciónen_US
dc.subjectBioinformáticaen_US
dc.subject.otherEvolutionaryen_US
dc.subject.otherBiologyen_US
dc.subject.otherBioinformaticsen_US
dc.titleWhat Evolutionary Biologists Can Learn from Artificial Lifeen_US
dc.typeconference outputen_US
dspace.entity.typePublication

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