Citation: Genetics Selection Evolution 2018 50:61
Goat ADAPTmap Project
The ADAPT project aims to coordinate genomic research on the rich diversity of goat breeds across the globe. This collection is a selection of studies working on this project.
-
-
Genome-wide patterns of homozygosity provide clues about the population history and adaptation of goats
Patterns of homozygosity can be influenced by several factors, such as demography, recombination, and selection. Using the goat SNP50 BeadChip, we genotyped 3171 goats belonging to 117 populations with a world...
Citation: Genetics Selection Evolution 2018 50:59
-
Genome-wide SNP profiling of worldwide goat populations reveals strong partitioning of diversity and highlights post-domestication migration routes
Goat populations that are characterized within the AdaptMap project cover a large part of the worldwide distribution of this species and provide the opportunity to assess their diversity at a global scale. We ...
Citation: Genetics Selection Evolution 2018 50:58
-
Signatures of selection and environmental adaptation across the goat genome post-domestication
Since goat was domesticated 10,000 years ago, many factors have contributed to the differentiation of goat breeds and these are classified mainly into two types: (i) adaptation to different breeding systems an...
Citation: Genetics Selection Evolution 2018 50:57
-
Patterns of homozygosity in insular and continental goat breeds
Genetic isolation of breeds may result in a significant loss of diversity and have consequences on health and performance. In this study, we examined the effect of geographic isolation on caprine genetic diver...
Citation: Genetics Selection Evolution 2018 50:56
-
Functional SNP panel for parentage assessment and assignment in worldwide goat breeds
International standard panels of single nucleotide polymorphisms (SNPs) have replaced microsatellites in several species for parentage assessment and assignment (PA) purposes. However, such a resource is still...
Citation: Genetics Selection Evolution 2018 50:55