| Literature DB >> 26401334 |
Elizabeth R Arnott1, Lincoln Peek1, Jonathan B Early1, Annie Y H Pan1, Bianca Haase1, Tracy Chew1, Paul D McGreevy1, Claire M Wade1.
Abstract
BACKGROUND: Working dog handlers and breeders have strong opinions on characteristics that are desirable in the breeds that they use to handle stock. Most of these characteristics are related to conformation or behaviour. This study explored whether the genetics underlying desirable working behaviour traits might be identified by selective sweep analysis; a method that identifies long regions of strong homozygosity combined with allelic divergence from a comparison group. For this analysis, we compared genomic haplotype architecture in two breeds derived from common founder stock but subjected to divergent selective pressures. The breeds studied were the Australian Kelpie, which is registered with the Australian National Kennel Council, and the Australian Working Kelpie, which is registered with the Working Kelpie Council.Entities:
Keywords: Behaviour; Kelpie; Selective sweep
Year: 2015 PMID: 26401334 PMCID: PMC4579362 DOI: 10.1186/s40575-015-0017-6
Source DB: PubMed Journal: Canine Genet Epidemiol ISSN: 2052-6687
Figure 1Australian Working Kelpie (photo credit: Jonathan Early).
Figure 2Australian Kelpie (photo credit: Jenny Bayliss Photography).
Regions identified in the primary analysis for differential selective sweep including 12 Australian Kelpie and 12 Australian Working Kelpie dogs that were then assessed for validation in a further 10 AK and 28 AWK individuals
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| AWK | 3 | 26000000 | 64 | 0.012 | 0.176 | 0.164 | 0.027* | 0.187 | 0.16 |
| 3 | 27000000 | 79 | 0.012 | 0.194 | 0.181 | 0.031* | 0.187 | 0.156 | |
| 3 | 29000000 | 70 | 0.009 | 0.178 | 0.169 | 0.015* | 0.151 | 0.135 | |
| 3 | 30000000 | 66 | 0.008 | 0.161 | 0.153 | 0.082 | 0.178 | 0.096 | |
| 10 | 47000000 | 72 | 0.048 | 0.169 | 0.121 | 0.101 | 0.173 | 0.071 | |
| 11 | 2000000 | 40 | 0.016 | 0.184 | 0.169 | 0.022 | 0 | 0.022 | |
| 11 | 17000000 | 83 | 0.05 | 0.179 | 0.13 | 0.148 | 0.182 | 0.034 | |
| 11 | 36000000 | 71 | 0.041 | 0.186 | 0.144 | 0.062 | 0.118 | 0.056 | |
| 15 | 46000000 | 72 | 0.031 | 0.195 | 0.164 | 0.106 | 0.21 | 0.104 | |
| 24 | 46000000 | 88 | 0.025 | 0.16 | 0.136 | 0.052 | 0.153 | 0.1 | |
| 30 | 1000000 | 82 | 0.011 | 0.13 | 0.119 | 0.014 | 0.085 | 0.071 | |
| 30 | 5000000 | 41 | 0.046 | 0.162 | 0.116 | 0.092 | 0.022 | 0.069 | |
| 39 | 102000000 | 47 | 0.026 | 0.153 | 0.127 | 0.213 | 0.23 | 0.017 | |
| AK | 8 | 64000000 | 81 | 0.166 | 0.049 | 0.118 | 0.189 | 0.049* | 0.141 |
| 8 | 65000000 | 75 | 0.165 | 0.042 | 0.123 | 0.221 | 0.040* | 0.182 | |
| 8 | 67000000 | 71 | 0.13 | 0.008 | 0.122 | 0.131 | 0.004* | 0.126 | |
| 30 | 23000000 | 87 | 0.193 | 0.029 | 0.164 | 0.178 | 0.016* | 0.162 | |
| 39 | 16000000 | 42 | 0.208 | 0.048 | 0.161 | 0.057 | 0.075 | 0.018 | |
†Australian Working Kelpie.
‡Australian Kelpie.
£minor allele frequency (maf).
*supported in expanded analysis.
Positional candidate genes for behaviour and morphology phenotypes according to the mouse genome browser
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| chr3:26-30 Mb | chr13:91.8-95.7 Mb | AWK† | Homer1, Arsb, Lhfpl2, Ap3b1,Crhbp, F2rl1 | Msh3, Homer1, Ap3b1,F2rl1 | Arsb, Ap3b1 | Arsb, F2rl1 |
| chr8:64-68 Mb | chr12:105-109 Mb | AK‡ | Dicer1, Bdkrb2,Bdkrb1, Bcl11b | Dicer1, Bdkrb2,Bdkrb1, Bcl11b | Dicer1, Ak7, Bcl11b | Dicer1, Bdkrb2, Bcl11b |
| chr30:23-24 Mb | chr9:70.5-71.5 Mb | AK‡ | - | - | Adam10, Aldh1a2 | Adam10, Aldh1a2 |
†Australian Working Kelpie.
‡Australian Kelpie.