title: Comparison of SNPs and microsatellites for assessing the genetic structure of chicken populations.
abstract: Many studies in human genetics compare informativeness of single-nucleotide polymorphisms (SNPs) and microsatellites (single sequence repeats; SSR) in genome scans, but it is difficult to transfer the results directly to livestock because of different population structures. The aim of this study was to determine the number of SNPs needed to obtain the same differentiation power as with a given standard set of microsatellites. Eight chicken breeds were genotyped for 29 SSRs and 9216 SNPs. After filtering, only 2931 SNPs remained. The differentiation power was evaluated using two methods: partitioning of the Euclidean distance matrix based on a principal component analysis (PCA) and a Bayesian model-based clustering approach. Generally, with PCA-based partitioning, 70 SNPs provide a comparable resolution to 29 SSRs. In model-based clustering, the similarity coefficient showed significantly higher values between repeated runs for SNPs compared to SSRs. For the membership coefficients, reflecting the proportion to which a fraction segment of the genome belongs to the ith cluster, the highest values were obtained for 29 SSRs and 100 SNPs respectively. With a low number of loci (29 SSRs or ≤100 SNPs), neither marker types could detect the admixture in the Gödöllö Nhx population. Using more than 250 SNPs allowed a more detailed insight into the genetic architecture. Thus, the admixed population could be detected. It is concluded that breed differentiation studies will substantially gain power even with moderate numbers of SNPs.
authors.affiliation: Animal Breeding and Genetics Group, Department of Animal Sciences, Georg-August University, Göttingen, Germany. cgaerke@uni-goettingen.de
authors.forename: C
authors.initials: C
authors.lastname: Gärke
authors.forename: F
authors.initials: F
authors.lastname: Ytournel
authors.forename: B
authors.initials: B
authors.lastname: Bed'hom
authors.forename: I
authors.initials: I
authors.lastname: Gut
authors.forename: M
authors.initials: M
authors.lastname: Lathrop
authors.forename: S
authors.initials: S
authors.lastname: Weigend
authors.forename: H
authors.initials: H
authors.lastname: Simianer
mesh_terms: D000818:Animals; D001947:Breeding; D002645:Chickens / Q000235:genetics*; D002875:Chromosomes / Q000235:genetics*; D016000:Cluster Analysis; D056426:Genetic Loci; D005819:Genetic Markers; D005828:Genetics, Population; D005838:Genotype; D018895:Microsatellite Repeats; D020641:Polymorphism, Single Nucleotide; D011157:Population Dynamics; D025341:Principal Component Analysis
chemical_list: D005819:Genetic Markers