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In the present study, Porcine 60K SNP genotype data from 69 Landlly pigs were used to explore Copy Number Variations (CNVs) across the autosomes. A total of 386 CNVs were identified using Hidden Markov Model (HMM) in PennCNV software, which were subsequently aggregated to 115 CNV regions (CNVRs). Among the total detected CNVRs, 58 gain, 49 were loss type while remaining 8 events were both gain and loss types. Identified CNVRs covered 12.5 Mb (0.55%) of Sus scrofa reference 11.1 genome. Comparison of our results with previous investigations on pigs revealed that approximately 75% CNVRs were novel, which may be due to differences in genetic background, environment and implementation of artificial selection in Landlly pigs. Functional annotation and pathway analysis showed the significant enrichment of 267 well-annotated Sus scrofa genes in CNVRs. These genes were involved in different biological functions like sensory perception, meat quality traits, back fat thickness and immunity. Additionally, KIT and FUT1 were two major genes detected on CNVR in our population. This investigation provided a comprehensive overview of CNV distribution in the Indian porcine genome for the first time, which may be useful for further investigating the association of important quantitative traits in Landlly pigs. 115 CNVRs were identified in 69 Landlly pig population. Approximately 75% detected CNVRs were novel for Landlly population. Significant enrichment of 267 well-annotated Sus scrofa genes observed in these CNVRs. These genes were involved in different biological functions like sensory perception, meat quality traits, back fat thickness and immunity. Comprehensive CNV map in the Indian porcine genome developed for the first time. [ABSTRACT FROM AUTHOR]

This study aimed to explore the association of single nucleotide polymorphisms (SNPs) in CD209 gene with the occurrence of bovine paratuberculosis (PTB) disease caused by Mycobacterium avium subspecies paratuberculosis (MAP) in Indian cattle. A total of 213 animals were preliminarily selected on the basis of physical body condition score, which was then screened by a panel of diagnostic tests viz. Johnin, ELISA, fecal microscopy, and fecal culture, for the establishment of a case–control resource population. A total of four SNPs viz. rs208222804, rs211654540, rs208814257, and rs210748127 in CD209 gene were genotyped by PCR-RFLP. All SNPs, except rs210748127, were polymorphic in our population. Genotypic–phenotypic associations were assessed by the PROCLOGISTIC procedure of SAS 9.3. The SNP rs208814257 yielded three genotypes viz. CC, CG, and GG, which were significantly (p < 0.05) different in case as compared to the control population. The odds of CC and CG in comparison to GG genotype were 1.21 and 0.40, respectively. The CG genotype was significantly higher in control population, indicating that this genotype may provide resistance against PTB in our resource population. Upon validation in an independent, larger test population and following biological characterization, SNP rs208814257 can be incorporated in marker panel for selection of animals with greater resistance to MAP infection. [ABSTRACT FROM AUTHOR]