An assessment of population structure in eight breeds of cattle using a whole genome SNP panel.
BACKGROUND
Analyses of population structure and breed diversity have provided insight into the origin and evolution of cattle. Previously, these studies have used a low density of microsatellite markers, however, with the large number of single nucleotide polymorphism markers that are now available, it is possible to perform genome wide population genetic analyses in cattle. In this study, we used a high-density panel of SNP markers to examine population structure and diversity among eight cattle breeds sampled from Bos indicus and Bos taurus.


RESULTS
Two thousand six hundred and forty one single nucleotide polymorphisms (SNPs) spanning all of the bovine autosomal genome were genotyped in Angus, Brahman, Charolais, Dutch Black and White Dairy, Holstein, Japanese Black, Limousin and Nelore cattle. Population structure was examined using the linkage model in the program STRUCTURE and Fst estimates were used to construct a neighbor-joining tree to represent the phylogenetic relationship among these breeds.


CONCLUSIONS
The whole-genome SNP panel identified several levels of population substructure in the set of examined cattle breeds. The greatest level of genetic differentiation was detected between the Bos taurus and Bos indicus breeds. When the Bos indicus breeds were excluded from the analysis, genetic differences among beef versus dairy and European versus Asian breeds were detected among the Bos taurus breeds. Exploration of the number of SNP loci required to differentiate between breeds showed that for 100 SNP loci, individuals could only be correctly clustered into breeds 50% of the time, thus a large number of SNP markers are required to replace the 30 microsatellite markers that are currently commonly used in genetic diversity studies.
McKay
Stephanie D
SD
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada. mckaysd@missouri.edu
Schnabel
Robert D
RD
Murdoch
Brenda M
BM
Matukumalli
Lakshmi K
LK
Aerts
Jan
J
Coppieters
Wouter
W
Crews
Denny
D
Dias Neto
Emmanuel
E
Gill
Clare A
CA
Gao
Chuan
C
Mannen
Hideyuki
H
Wang
Zhiquan
Z
Van Tassell
Curt P
CP
Williams
John L
JL
Taylor
Jeremy F
JF
Moore
Stephen S
SS
D000704:Analysis of Variance; D000818:Animals; D002417:Cattle / Q000235:genetics*; D003433:Crosses, Genetic; D005819:Genetic Markers; D005828:Genetics, Population; D016678:Genome / Q000235:genetics*; D005838:Genotype; D010802:Phylogeny; D020641:Polymorphism, Single Nucleotide
D005819:Genetic Markers