title: Storytelling and story testing in domestication.
abstract: The domestication of plants and animals marks one of the most significant transitions in human, and indeed global, history. Traditionally, study of the domestication process was the exclusive domain of archaeologists and agricultural scientists; today it is an increasingly multidisciplinary enterprise that has come to involve the skills of evolutionary biologists and geneticists. Although the application of new information sources and methodologies has dramatically transformed our ability to study and understand domestication, it has also generated increasingly large and complex datasets, the interpretation of which is not straightforward. In particular, challenges of equifinality, evolutionary variance, and emergence of unexpected or counter-intuitive patterns all face researchers attempting to infer past processes directly from patterns in data. We argue that explicit modeling approaches, drawing upon emerging methodologies in statistics and population genetics, provide a powerful means of addressing these limitations. Modeling also offers an approach to analyzing datasets that avoids conclusions steered by implicit biases, and makes possible the formal integration of different data types. Here we outline some of the modeling approaches most relevant to current problems in domestication research, and demonstrate the ways in which simulation modeling is beginning to reshape our understanding of the domestication process.
authors.affiliation: Research Department of Genetics, Evolution, and Environment and University College London Genetics Institute, University College London, London WC1E 6BT, United Kingdom.
authors.forename: Pascale
authors.initials: P
authors.lastname: Gerbault
authors.forename: Robin G
authors.initials: RG
authors.lastname: Allaby
authors.forename: Nicole
authors.initials: N
authors.lastname: Boivin
authors.forename: Anna
authors.initials: A
authors.lastname: Rudzinski
authors.forename: Ilaria M
authors.initials: IM
authors.lastname: Grimaldi
authors.forename: J Chris
authors.initials: JC
authors.lastname: Pires
authors.forename: Cynthia
authors.initials: C
authors.lastname: Climer Vigueira
authors.forename: Keith
authors.initials: K
authors.lastname: Dobney
authors.forename: Kristen J
authors.initials: KJ
authors.lastname: Gremillion
authors.forename: Loukas
authors.initials: L
authors.lastname: Barton
authors.forename: Manuel
authors.initials: M
authors.lastname: Arroyo-Kalin
authors.forename: Michael D
authors.initials: MD
authors.lastname: Purugganan
authors.forename: Rafael
authors.initials: R
authors.lastname: Rubio de Casas
authors.forename: Ruth
authors.initials: R
authors.lastname: Bollongino
authors.forename: Joachim
authors.initials: J
authors.lastname: Burger
authors.forename: Dorian Q
authors.initials: DQ
authors.lastname: Fuller
authors.forename: Daniel G
authors.initials: DG
authors.lastname: Bradley
authors.forename: David J
authors.initials: DJ
authors.lastname: Balding
authors.forename: Peter J
authors.initials: PJ
authors.lastname: Richerson
authors.forename: M Thomas P
authors.initials: MT
authors.lastname: Gilbert
authors.forename: Greger
authors.initials: G
authors.lastname: Larson
authors.forename: Mark G
authors.initials: MG
authors.lastname: Thomas
mesh_terms: D000818:Animals; D000829:Animals, Domestic / Q000254:growth & development*; D018556:Crops, Agricultural / Q000254:growth & development*; D006801:Humans; D006824:Hybridization, Genetic; D008954:Models, Biological; D033262:Narration
keywords: Neolithic; agriculture; evolution; inference; model
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