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This paper represents the fundamental report of the survey of genome-wide changes of four Chinese indigenous donkey breeds, Dezhou (DZ), Guangling (GL), North China (NC), and Shandong Little donkey (SDL), and the findings will prove usefully for identification of biomarkers that perhaps predict or characterize the growth and coat color patterns. Three genomic regions in CYP3A12, TUBGCP5, and GSTA1 genes, were identified as putative selective sweeps in all researched donkey populations. The loci of candidate genes that may have contributed to the phenotypes in body size (ACSL4, MSI2, ADRA1B, and CDKL5) and coat color patterns (KITLG and TBX3) in donkey populations would be found in underlying strong selection signatures when compared between large and small donkey types, and between different coat colors. The results of the phylogenetic analysis, FST, and principal component analysis (PCA) supported that each population cannot clearly deviate from each other, showing no obvious population structure. We can conclude from the population history that the formation processes between DZS and NC, GL, and SDL are completely different. The genetic variants discovered here provide a rich resource to help identify potential genomic markers and their associated molecular mechanisms that impact economically important traits for Chinese donkey breeding programs. [ABSTRACT FROM AUTHOR]

Background: Wulong geese (Anser cygnoides orientalis) are known for their excellent egg-laying performance. However, they show considerable population differences in egg-laying behavior. This study combined genome-wide selection signal analysis with transcriptome analysis (RNA-seq) to identify the genes related to high egg production in Wulong geese. Results: A total of 132 selected genomic regions were screened using genome-wide selection signal analysis, and 130 genes related to high egg production were annotated in these regions. These selected genes were enriched in pathways related to egg production, including oocyte meiosis, the estrogen signaling pathway, the oxytocin signaling pathway, and progesterone-mediated oocyte maturation. Furthermore, a total of 890 differentially expressed genes (DEGs), including 340 up-regulated and 550 down-regulated genes, were identified by RNA-seq. Two genes — GCG and FAP — were common to the list of selected genes and DEGs. A non-synonymous single nucleotide polymorphism was identified in an exon of FAP. Conclusions: Based on genome-wide selection signal analysis and transcriptome data, GCG and FAP were identified as candidate genes associated with high egg production in Wulong geese. These findings could promote the breeding of Wulong geese with high egg production abilities and provide a theoretical basis for exploring the mechanisms of reproductive regulation in poultry. [ABSTRACT FROM AUTHOR]