| Reference |
Population or breed
(number of individuals) |
Objectives |
Methods and softwares applied(1)
|
|
Fariello et al. (2013)
|
Sheep HapMap |
To validate the hapFLK method to detect selective sweeps |
hapFLK, FLK, FST, and hapFST
|
|
Fariello et al. (2014)
|
Sheep HapMap |
To confirm the selective sweeps found by FST and identify new ones |
hapFLK and FLK |
|
Gutiérrez-Gil et al. (2014)
|
Sheep HapMap (5 milk breeds and 5 non-milk breeds) |
To identify selective sweeps related to milk production |
Pairwise FST, observed heterozygosity, and regression analysis to detect asymptotic patterns of heterozygosity |
|
Grasso et al. (2014)
|
Merino (110), Corriedale (108), and Creola (10) |
To identify genetic diversity within and between three sheep breeds |
fastStructure, PCA, and FST
|
|
Lv et al. (2014)
|
32 autochthonous breeds (1.224) |
To characterize genetic effects of climatic adaptation, identifying related selective sweeps |
Arlequin, PLINK, MatSAM, LFMM, SmartPCA, fastStructure, and Sweep |
|
McRae et al. (2014)
|
Romney (180) and Perendale (149) |
To identify selective sweeps, within and between two breeds, related to resistance or susceptibility to gastrointestinal nematodes |
FST, Peddrift, fastPHASE, EHH (Sweep v1.1), XP-EHH, and iHS (Pritchard) |
|
Moioli et al. (2013)
|
Altamurana (100) |
To identify regions that affect milk production |
Random animal effect and Fisher’s exact test (SAS, (SAS Institute, Inc., Cary, NC, USA) |
|
Moioli et al. (2016)
|
Sarda breed (100) |
To identify candidate genes for immune response and relationship with paratuberculosis resistance |
Effect of allelic substitution (SAS Institute, Inc., Cary, NC, USA) |
|
Moradi et al. (2012)
|
Zel (47) and Lori-Bakhtiari (47) breeds, as well as Sheep HapMap (7 breeds) |
To perform selective sweeps between fat and thin-tail Iranian breeds and to compare divergent breeds for this trait in Sheep HapMap |
PCA using the R software, FST, homozygosity, and fastPHASE |
|
Zhu et al. (2015)
|
German Mutton (89), Dorper (47), and Sunit (12) |
To identify selective sweeps in chromosome X in three sheep breeds |
PLINK, Beagle, iHS, and FST
|
|
Randhawa et al. (2014)
|
37 pooled breeds (1,489) and 36 horned breeds (1,290); 3 double-muscle breeds (149) and 71 normal muscle breeds (2,654) |
37 pooled breeds (1,489) and 36 horned breeds (1,290); 3 double-muscle breeds (149) and 71 normal muscle breeds (2,654) |
FST, XP-EHH, DAF, and CSS |
|
Wang et al. (2015)
|
White Dorper (100), fat-tailed Chinese Mongolian (61), and German Mutton Merino (161) |
White Dorper (100), fat-tailed Chinese Mongolian (61), and German Mutton Merino (161) |
PCA, pairwise FST, LSBL, and di
|
|
Wei et al. (2015)
|
10 Chinese breeds (140) |
10 Chinese breeds (140) |
PCA, fastStructure, neighbor-joining-tree, di, Rsb, pairwise FST (Genepop), and fastPHASE |
|
Gorkhali et al. (2016)
|
24 sheep from each of the following 4 Nepalese breeds: Bhyanglung, Baruwal, Kage, and Lampuchhre |
24 sheep from each of the following four Nepalese breeds: Bhyanglung, Baruwal, Kage, and Lampuchhre |
PCA, pairwise FST, and di
|
|
Yang et al. (2016) |
77 Chinese native sheep from 21 representative breeds |
77 Chinese native sheep from 21 representative breeds |
Runs of homozygosity, FST, XP-EHH, and LFMM |
|
Manunza et al. (2016)
|
370 animals from 11 Spanish breeds |
370 animals from 11 Spanish breeds |
FST-outlier approach in the BayeScan software, hapFLK, and FLK |
|
Liu et al. (2016)
|
8 sheep populations with 20 individuals from each one |
8 sheep populations with 20 individuals from each one |
HP and FST
|
|
Zhao et al. (2016)
|
Sunite (66), German Mutton (159), and Dorper (93) |
Sunite (66), German Mutton (159), and Dorper (93) |
REHH and XP-EHH |
|
Wei et al. (2016)
|
Hu (12), Tong (15), large-tailed Han (15), Lop (15), Tibetan (14), Sichuan (14), and Nagqu (37) |
To study the adaptive evolution of high-altitude sheep by analyzing seven breeds |
FST and XP-EHH |
|
Purfield et al. (2017)
|
Belclare (658), Beltex (64), Charollais (665), Suffolk (784), Texel (489), and Vendeen (629) |
To quantify the genetic diversity in six commercial sheep breeds with the aim of identifying genomic regions that have been subjected to selection |
Runs of homozygosity, FST, and hapFLK |
|
Gouveia et al. (2017)
|
Brazilian Creole (22), Morada Nova (22), and Santa Inês (45) |
To identify genomic regions that may have been under selection and, therefore, may explain ecological and production differences among three Brazilian locally adapted sheep breeds |
FST, Rsb, and iHS |
|
Yuan et al. (2017)
|
Hu (12), Tong (15), large-tailed Han (15), Lop (15), Tibetan (14), Sichuan (14), and Nagqu (37) |
To identify genes associated with tail fat deposition in Chinese populations |
FST and hapFLK |
Detection and evaluation of selection signatures in sheep
Thumbnail
