Table 1. Regions under selection in the sheep genome.
Region | Chr | Position (Mb) | Peak SNP (F ST) | Top SNP | Genes | Candidates |
1 | 2 | 55.25–56.98 | s20468 (0.471) | 1 | 47 | NPR2 |
2 | 2 | 111.72–112.11 | s29378 (0.426) | 2 | 5 | |
3 | 2 | 246.07–246.46 | s01865 (0.427) | 1 | 8 | CHRNG |
4 | 3 | 141.36–141.61 | OAR3_141586525 (0.421) | 1 | 14 | HOX gene cluster |
5 | 3 | 164.38–165.45 | OAR3_165009241 (0.502) | 2 | 4 | HMGA2, MSRB3 |
6 | 5 | 105.87–105.93 | s36709 (0.427) | 1 | 1 | |
7 | 6 | 40.21–42.53 | OAR6_40277406 (0.421) | 1 | 18 | ABCG2, PDK2 |
8 | 6 | 76.38–76.86 | OAR6_76473607 (0.499) | 1 | 3 | KIT |
9 | 6 | 103.41–103.99 | s21552 (0.419) | 1 | 7 | FGF5 |
10 | 7 | 49.12–49.22 | s69881 (0.441) | 1 | 1 | |
11 | 7 | 97.3–97.72 | OAR7_97378846 (0.452) | 1 | 5 | TSHR |
12 | 8 | 34.2–35.35 | s20065 (0.428) | 1 | 6 | BVES |
13 | 8 | 67.47–67.84 | OAR8_67529714 (0.436) | 1 | 3 | |
14 | 10 | 29.27–29.98 | OAR10_29511510 (0.682) | 6 | 3 | RXFP2 |
15 | 10 | 30.6–30.79 | s68983 (0.535) | 3 | 2 | |
16 | 11 | 18.57–19 | OAR11_18701428 (0.535) | 4 | 4 | NF1 |
17 | 13 | 25.27–25.57 | s71551 (0.534) | 1 | 1 | |
18 | 13 | 51.54–52.64 | OAR13_51852034 (0.459) | 1 | 1 | BMP2 |
19 | 13 | 67.07–68.54 | s51670 (0.664) | 2 | 16 | ASIP |
20 | 13 | 84.89–84.98 | s54638 (0.439) | 1 | 1 | NFATC2 |
21 | 16 | 41.74–42.43 | OAR16_41943180 (0.422) | 1 | 3 | PRLR |
22 | 17 | 64.75–64.89 | s41543 (0.419) | 1 | 0 | |
23 | 18 | 19.65–20.23 | s31152 (0.423) | 1 | 3 | ABHD2 |
24 | 18 | 40.36–40.58 | s45597 (0.433) | 1 | 2 | FOXG1 |
25 | 19 | 7.41–7.6 | s38567 (0.434) | 1 | 3 | GLB1 |
26 | 19 | 33.09–33.61 | OAR19_33278780 (0.483) | 1 | 1 | MITF |
27 | 19 | 55.99–56.25 | s18532 (0.472) | 1 | 2 | CCR2 |
28 | 20 | 18.06–18.36 | OAR20_18263165 (0.43) | 1 | 4 | VEGFA |
29 | 21 | 45.19–45.58 | s11631 (0.492) | 2 | 6 | OR2AG1 |
30 | 25 | 6.82–7.61 | s03686 (0.573) | 3 | 4 | |
31 | 25 | 29.03–29.19 | s10489 (0.464) | 1 | 3 | CDH23 |
A total of 31 genomic regions contained the top 0.1% of SNP ranked using global F ST (47 SNP). The top 5% of SNP were used to define the boundaries of each region using a stepping approach (see Materials and Methods). The number of genes and number of top SNP (0.1%) are given for each region along with candidates for selection.