Fig. 4.
Enrichment of outgroup affinity in African cattle genomic segments divergent from the simple admixture model. We identified genomic segments in African cattle divergent from Model I (Muturu + Sahiwal) by taking top 1% genomic segments with the highest f2-statistics between African cattle and the Muturu + Sahiwal model. We took 3 different size bins for nonoverlapping windows (1, 10, and 50 kb) and chose 4 African cattle breeds with sufficient sample size for the analyses: Butana (East, n = 20), Kenana (East, n = 13), Baoule (West, n = 7), and N’Dama Gambia (West, n = 13). Subsequently, we calculated f4-statistics of the form f4(African buffalo, X; Muturu + Sahiwal, African cattle) for a chosen set of 9 outgroups (indicines and noncattle Bovini species) using the top 1% genomic segments as well as the whole genome. The horizontal bars represent ±3 standard error measures estimated by 5-cM block jackknifing.

Enrichment of outgroup affinity in African cattle genomic segments divergent from the simple admixture model. We identified genomic segments in African cattle divergent from Model I (Muturu + Sahiwal) by taking top 1% genomic segments with the highest f2-statistics between African cattle and the Muturu + Sahiwal model. We took 3 different size bins for nonoverlapping windows (1, 10, and 50 kb) and chose 4 African cattle breeds with sufficient sample size for the analyses: Butana (East, n = 20), Kenana (East, n = 13), Baoule (West, n = 7), and N’Dama Gambia (West, n = 13). Subsequently, we calculated f4-statistics of the form f4(African buffalo, X; Muturu + Sahiwal, African cattle) for a chosen set of 9 outgroups (indicines and noncattle Bovini species) using the top 1% genomic segments as well as the whole genome. The horizontal bars represent ±3 standard error measures estimated by 5-cM block jackknifing.

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