Loog, L; Thomas, MG; Barnett, R; Allen, R; Sykes, N; Paxinos, PD; Lebrasseur, O; ... Eriksson, A; + view all Loog, L; Thomas, MG; Barnett, R; Allen, R; Sykes, N; Paxinos, PD; Lebrasseur, O; Dobney, K; Peters, J; Manica, A; Larson, G; Eriksson, A; - view fewer (2017) Inferring allele frequency trajectories from ancient DNA indicates that selection on a chicken gene coincided with changes in medieval husbandry practices. Molecular Biology and Evolution , 34 (8) pp. 1981-1990. 10.1093/molbev/msx142.

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Abstract

Ancient DNA provides an opportunity to infer the drivers of natural selection by linking allele frequency changes to temporal shifts in environment or cultural practices. However, analyses have often been hampered by uneven sampling and uncertainties in sample dating, as well as being confounded by demographic processes. Here we present a Bayesian statistical framework for quantifying the timing and strength of selection using ancient DNA that explicitly addresses these challenges. We applied this method to time series data for two loci: TSHR and BCDO2, both argued to have undergone strong and recent selection in domestic chickens. The derived variant in TSHR, associated with reduced aggression to conspecifics and faster onset of egg laying, shows strong selection beginning around 1,100 years ago, coincident with archaeological evidence for intensified chicken production and documented changes in egg and chicken consumption. To our knowledge, this is the first example of pre-industrial domesticate trait selection in response to a historically attested cultural shift in food preference. For BCDO2, we find support for selection, but demonstrate that the recent rise in allele frequency could also have been driven by gene flow from imported Asian chickens during more recent breed formations. Our findings highlight that traits found ubiquitously in modern domestic species may not necessarily have originated during the early stages of domestication. In addition our results demonstrate the importance of precise estimation of allele frequency trajectories through time for understanding the drivers of selection.

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