A genealogical survey of Australian registered dog breeds

Shariflou, M. R.; James, J. W.; Nicholas, F. W.; Wade, Claire M.

doi:10.1016/j.tvjl.2011.06.020

Cited by 44 publications

(79 citation statements)

References 12 publications

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“…For dog, previous studies [10,24-26] applied inbreeding approaches to compute N e , with average values close to 100 (ranging from 17 to 1090), which is in agreement with our results.…”

Section: Discussionsupporting

confidence: 92%

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Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse

et al. 2013

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BackgroundEffective population sizes of 140 populations (including 60 dog breeds, 40 sheep breeds, 20 cattle breeds and 20 horse breeds) were computed using pedigree information and six different computation methods. Simple demographical information (number of breeding males and females), variance of progeny size, or evolution of identity by descent probabilities based on coancestry or inbreeding were used as well as identity by descent rate between two successive generations or individual identity by descent rate.ResultsDepending on breed and method, effective population sizes ranged from 15 to 133 056, computation method and interaction between computation method and species showing a significant effect on effective population size (P < 0.0001). On average, methods based on number of breeding males and females and variance of progeny size produced larger values (4425 and 356, respectively), than those based on identity by descent probabilities (average values between 93 and 203). Since breeding practices and genetic substructure within dog breeds increased inbreeding, methods taking into account the evolution of inbreeding produced lower effective population sizes than those taking into account evolution of coancestry. The correlation level between the simplest method (number of breeding males and females, requiring no genealogical information) and the most sophisticated one ranged from 0.44 to 0.60 according to species.ConclusionsWhen choosing a method to compute effective population size, particular attention should be paid to the species and the specific genetic structure of the population studied.

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“…For dog, previous studies [10,24-26] applied inbreeding approaches to compute N e , with average values close to 100 (ranging from 17 to 1090), which is in agreement with our results.…”

Section: Discussionsupporting

confidence: 92%

“…We would also like to underline that the Pearson correlations between EqG and IBD estimators were moderate, indicating that the regression suggested by Nagy et al [26] between pedigree knowledge and IBD is not straightforward.…”

Section: Discussionmentioning

confidence: 94%

Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse

et al. 2013

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“…), while it was much lower in Australia (0.048%, N e = 1090) (Shariflou et al . ) and even negative in Finland (Maki et al . ).…”

Section: Discussionmentioning

confidence: 99%

Genetic management of Dutch golden retriever dogs with a simulation tool

Windig

Oldenbroek

2015

J Animal Breeding Genetics

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Excessive inbreeding rates and small effective population sizes are an important problem in many populations of dogs. Proper genetic management of these populations can decrease the problem, and several measures are available. However, the effectiveness of these measures is not clear beforehand. Therefore, a simulation model was developed to test measures that aim to decrease the rate of inbreeding. The simulation program was used to evaluate inbreeding restriction measures in the Dutch golden retriever dog population. This population consisted of approximately 600 dams and 150 sires that produce 300 litters each year. The five most popular sires sire approximately 25% of the litters in a year. Simulations show that the small number of popular sires and their high contribution to the next generation are the main determinants of the inbreeding rates. Restricting breeding to animals with a low average relatedness to all other animals in the population was the most effective measure and decreased the rate of inbreeding per generation from 0.41 to 0.12%. Minimizing co-ancestry of parents was not effective in the long run, but decreased variation in inbreeding rates. Restricting the number of litters per sire generally decreased the generation interval because sires were replaced more quickly, once they met their restriction. In some instances, this lead to an increase in inbreeding rates because the next generations were more related. The simulation tool proved to be a powerful and educational tool for deciding which breeding restrictions to apply, and can be effective in different breeds and species as well.

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“…Assuming the mutation is relatively neutral with respect to reproductive fitness, and has not been actively selected for as a correlated trait by breeders, we can also estimate mutation age based on the mutation frequency. We used effective population sizes of 50 and 100 animals, based on those estimated for Terrier breeds in Australia [19]. Under the same expansion estimates, we obtain estimates of 10 generations (25% expansion) and 24 generations (10% expansion).…”

Section: Estimation Of the Age Of The Adamts17 Snpmentioning

confidence: 99%

Primary Lens Luxation in Australian Tenterfield and Miniature Bull Terriers is Due to An Old ADAMTS17 Mutation and is an Additive Trait

Gharahkhani¹

2012

TOGENJ

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Primary Lens Luxation (PLL) is an inherited disease common in Terrier breeds. A truncating mutation in the ADAMTS17 orthologue on CFA03 is reported to cause PLL in 17 breeds, mostly Terriers. This study investigated the mode of inheritance and penetrance of PLL, age of the ADAMTS17 mutation, and other possible causes of PLL in Australian Tenterfield Terriers and Miniature Bull Terriers. The ADAMTS17 mutation and 30 nearby microsatellites on CFA03 were genotyped in 66 Australian Tenterfield Terriers, and 74 Miniature Bull Terriers. Lifetime risk of developing clinical PLL in homozygote and heterozygous animals, penetrance of PLL in general population, and recurrence risk of the disease for offspring and siblings of an index case was estimated. The effect of the ADAMTS17 mutation on the risk of PLL was dose and age dependent, and best fitted an additive model. Primary lens luxation was fully penetrant in homozygotes over 6 years and incompletely penetrant with a significant risk of PLL in heterozygote animals. Microsatellite haplotype testing estimated the mutation to be an old mutation, consistent with its appearance on several different background haplotypes and suggesting it entered the tested Tenterfield Terrier population at least three times, and the tested Miniature Bull Terrier population once. Finite polygenic model and survival analyses suggested that the ADAMTS17 mutation is the main cause of PLL in these breeds, and if the PLL phenotype is controlled by factors other than this mutation, such as a second locus or an environmental effect, the effect is much less than that of this disease associated SNP.

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A genealogical survey of Australian registered dog breeds

Cited by 44 publications

References 12 publications

Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse

Methods to estimate effective population size using pedigree data: Examples in dog, sheep, cattle and horse

Genetic management of Dutch golden retriever dogs with a simulation tool

Primary Lens Luxation in Australian Tenterfield and Miniature Bull Terriers is Due to An Old ADAMTS17 Mutation and is an Additive Trait

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