Rabbit Anti-Human SCG5 (a.a. 1-100) Polyclonal antibody

Because of variable inconvenient living conditions in some places around the world, it is difficult to collect reliable physiological data for ostriches. Therefore, this study aims to provide a comprehensive in silico insight for the nature of polymorphism of important genetic loci that are related to physiological and reproductive traits. Sixty-nine mature ostriches ranging over half of Iraq were screened. Six exonic genetic loci, including cytochrome c oxidase I (COX1), cytochrome b (CYTB), secretogranin V (SCG5), feather keratin 2-like (FK2), prolactin (PRL) and placenta growth factor (PGF) were genotyped by PCR-single stranded conformation polymorphism (SSCP). Thirty-six novel SNPs, including seventeen nonsynonymous (ns) SNPs, were observed. Several computational software programs were utilized to assess the extent of the nsSNPs on their corresponding proteins structure, function and stability. The results showed several deleterious functional and stability changes in almost all the proteins studied. The total severity of each missense mutation was evaluated and compared with other nsSNPs accumulatively. It is evident from the extensive cumulative in silico computation that both p.E34D and p.E6OK in PGF have the highest deleterious effect. The cumulative predictions from the present study are an impressive guide for the genotypes of African ostriches, which bypassed the expensive protocols for wet laboratory screening, to identify the effects of variants. To the best of our knowledge, this is the first investigation of its kind on the analyses and prediction outcome of missense mutations in African ostrich populations. The highly deleterious nsSNPs in the placenta growth factor are possible adaptive mutations which might be associated with adaptation in extreme and new environments. The flow and protocol of the computational predictions can be extended for various wild animals to identify the molecular nature of adaptations.

The Goto-Kakizaki (GK) rat, which has been developed by repeated inbreeding of glucose-intolerant Wistar rats, is the most widely studied rat model for Type 2 diabetes (T2D). However, the detailed genetic background of T2D phenotype in GK rats is still largely unknown. We report a survey of T2D susceptible variations based on high-quality whole genome sequencing of GK and Wistar rats, which have generated a list of GK-specific variations (228 structural variations, 2660 CNV amplification and 2834 CNV deletion, 1796 protein affecting SNVs or indels) by comparative genome analysis and identified 192 potential T2D-associated genes. The genes with variants are further refined with prior knowledge and public resource including variant polymorphism of rat strains, protein-protein interactions and differential gene expression. Finally we have identified 15 genetic mutant genes which include seven known T2D related genes (Tnfrsf1b, Scg5, Fgb, Sell, Dpp4, Icam1, and Pkd2l1) and eight high-confidence new candidate genes (Ldlr, Ccl2, Erbb3, Akr1b1, Pik3c2a, Cd5, Eef2k, and Cpd). Our result reveals that the T2D phenotype may be caused by the accumulation of multiple variations in GK rat, and that the mutated genes may affect biological functions including adipocytokine signaling, glycerolipid metabolism, PPAR signaling, T cell receptor signaling and insulin signaling pathways. We present the genomic difference between two closely related rat strains (GK and Wistar) and narrow down the scope of susceptible loci. It also requires further experimental study to understand and validate the relationship between our candidate variants and T2D phenotype. Our findings highlight the importance of sequenced-based comparative genomics for investigating disease susceptibility loci in inbreeding animal models.