2023
DOI: 10.1186/s12864-023-09679-6
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Genome-wide landscape of runs of homozygosity and differentiation across Egyptian goat breeds

Ahmed M. Sallam,
Henry Reyer,
Klaus Wimmers
et al.

Abstract: Understanding the genomic features of livestock is essential for successful breeding programs and conservation. This information is scarce for local goat breeds in Egypt. In the current study, genomic regions with selection signatures were identified as well as runs of homozygosity (ROH), genomic inbreeding coefficients (FROH) and fixation index (FST) were detected in Egyptian Nubian, Damascus, Barki and Boer goat breeds. A total of 46,268 SNP markers and 337 animals were available for the genomic analyses. On… Show more

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Cited by 9 publications
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“…These studies emphasize the differences in genetic diversity across various breeds and point out the considerable inbreeding present in some breeds [ 13 , 24 , 25 ]. Compared to microarray methods, the whole-genome resequencing method offers a more comprehensive detection of genetic variations, providing deeper insight into the genetic landscape [ 26 , 27 , 28 ]. Furthermore, the iHS analysis applied to whole-genome resequencing and SNP microarray data have proven effective in identifying genomic regions under positive selection in goats; this approach facilitated the identification of genes associated with key traits such as productivity, disease resistance, and climate adaptability [ 4 , 29 , 30 ].…”
Section: Introductionmentioning
confidence: 99%
“…These studies emphasize the differences in genetic diversity across various breeds and point out the considerable inbreeding present in some breeds [ 13 , 24 , 25 ]. Compared to microarray methods, the whole-genome resequencing method offers a more comprehensive detection of genetic variations, providing deeper insight into the genetic landscape [ 26 , 27 , 28 ]. Furthermore, the iHS analysis applied to whole-genome resequencing and SNP microarray data have proven effective in identifying genomic regions under positive selection in goats; this approach facilitated the identification of genes associated with key traits such as productivity, disease resistance, and climate adaptability [ 4 , 29 , 30 ].…”
Section: Introductionmentioning
confidence: 99%