Inferring Allele Frequency Trajectories from Ancient DNA Indicates That Selection on a Chicken Gene Coincided with Changes in Medieval Husbandry Practices
نویسندگان
چکیده
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 hypothesised 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 preindustrial 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.
منابع مشابه
A Novel Spectral Method for Inferring General Diploid Selection from Time Series Genetic Data.
The increased availability of time series genetic variation data from experimental evolution studies and ancient DNA samples has created new opportunities to identify genomic regions under selective pressure and to estimate their associated fitness parameters. However, it is a challenging problem to compute the likelihood of non-neutral models for the population allele frequency dynamics, given...
متن کاملGrowth Hormone Gene Polymorphism in Two Iranian Native Fowls (Short Communication)
Biochemical polymorphism study is a method of determination of genetic variation. This variability could be a basis for selection and subsequent genetic improvement in farm animals. The polymorphism in the intron 1 of chicken growth hormone (cGH) gene was investigated in the Iranian native fowls by using polymerase chain reaction (PCR)-restriction fragment length polymorphism (RFLP) method. The...
متن کاملMaternal Betaine Homocysteine Methyltransferase Gene Polymorphism as a Risk Factor for Trisomy
Disorder in re-methylation process of homocysteine to methionine due to mutation in betaine homocysteine methyltransferase enzyme (BHMT) coding gene, leads to decrease in S-adenosyl methionine (SAM) synthesis which takes part in DNA methylation as a methyl donor. As a result, it can promote hypo-methylation of DNA, chromosome instability, and chromosome missegregation, which in turn is one of t...
متن کاملEvaluation of Genetic Variability in a Breeder Flock of Native Chicken Based on Randomly Amplified Polymorphic DNA Markers
A study was undertaken to evaluate the genetic variation in the 10th generation of a breeder flock of native breed selected for high egg and meat production in native fowls breeding station, Mazandaran, Iran. Venous blood samples were collected from 100 birds of both sexes. The RAPD-PCR technique was applied to generate a DNA fingerprint of individuals. Initially, a total of 20 ten-nucleotide a...
متن کاملBayesian Inference of Natural Selection from Allele Frequency Time Series.
The advent of accessible ancient DNA technology now allows the direct ascertainment of allele frequencies in ancestral populations, thereby enabling the use of allele frequency time series to detect and estimate natural selection. Such direct observations of allele frequency dynamics are expected to be more powerful than inferences made using patterns of linked neutral variation obtained from m...
متن کامل