Bioinformatics Analysis of Four Gallinacin Genes for Immunity Traits in Chickens | ||
| Annals of Agricultural Science, Moshtohor | ||
| Article 5, Volume 59, Issue 5, 2021, Pages 37-50 PDF (1.24 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/assjm.2021.183357 | ||
| Authors | ||
| Medhat Saleh* 1; Maher Khalil* 2; Mahmoud Iraqi* 1; A. Camarda* 3 | ||
| 1Department of Animal Production, Faculty of Agriculture at Moshtohor, Benha University, 13736, Egypt | ||
| 2Faculty of Agriculture at Moshtohor, Benha University | ||
| 3Avian Pathology Section, Department of Veterinary Medicine, University of Bari, 70010 Valenzano - Bari, Italy | ||
| Abstract | ||
| Four candidate gallinacin polymorphic genes were sequenced in one direction from Fayoumi (F), Rhode Island Red (R) and their crosses (½R½F and ½F½R). Pairwise bioinformatics sequencing of GAL genes of the parents relative to F1 generation was identified. Bioinformatics analyses of GAL genes showed many sequence variations. The pairwise sequence alignment between F and ½F½R were identified, being 17 SNPs with identity ratio of 97% for GAL 2 gene, many SNPs and gaps with low identity ratio of 50% for GAL 3 gene, ten SNPs with identity ratio of 98% for GAL 4 gene and 18 SNPs with identity ratio of 97% for GAL 5 gene. Between F and ½R½F there were 11 SNPs with identity ratio of 98% for GAL 2 gene, 15 SNPs with identity ratio of 98% for GAL 3 gene, 20 SNPs with identity ratio of 96% for GAL 4 gene and many SNPs with low identity ratio of 50% for GAL 5 gene. Between R and ½F½R, the sequence in GAL 2 gene were 12 SNPs with identity ratio of 98%, 38 SNPs with identity ratio of 94% in GAL 3 gene, many SNPs and gaps with low identity ratio of 50% in GAL 4 gene and 37 SNP with identity ratio of 90% in GAL 5 gene. The sequence between R and ½R½F being 21 SNPs with identity ratio of 96% for GAL 2 gene and many SNPs and gaps with low identity ratio of 50% for GAL 3 gene. The gene SNP-trait associations are not identical among all genes in the gallinacins cluster.Bioinformatics analyses of GAL genes showed many sequence variations and mutations in intronic regions. The SNPs identified in gallinacin genes could be used in marker assisted selection in breeding program to enhance immune responses to Salmonella disease in chickens. | ||
| Keywords | ||
| Chickens; Bioinformatics; Gallinacin genes; Salmonella; Immune response | ||
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