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Multi-omics Approaches for Comprehensive Analysis and Understanding of the Immune Response in the Miniature Pig Breed

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Journal PLoS One
Date 2022 May 19
PMID 35587479
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Abstract

The porcine immune system has an important role in pre-clinical studies together with understanding the biological response mechanisms before entering into clinical trials. The size distribution of the Korean minipig is an important feature that make this breed ideal for biomedical research and safe practice in post clinical studies. The extremely tiny (ET) minipig serves as an excellent model for various biomedical research studies, but the comparatively frail and vulnerable immune response to the environment over its Large (L) size minipig breed leads to additional after born care. To overcome this pitfall, comparative analysis of the genomic regions under selection in the L type breed could provide a better understanding at the molecular level and lead to the development of an enhanced variety of ET type minipig. In this study, we utilized whole genome sequencing (WGS) to identify traces of artificial selection and integrated them with transcriptome data generated from blood samples to find strongly selected and differentially expressed genes of interest. We identified a total of 35 common genes among which 7 were differentially expressed and showed selective sweep in the L type over the ET type minipig breed. The stabilization of these genes were further confirmed using nucleotide diversity analysis, and these genes could serve as potential biomarkers for the development of a better variety of ET type pig breed.

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References
1.
Zimring J, Hudson K . Cellular immune responses in red blood cell alloimmunization. Hematology Am Soc Hematol Educ Program. 2016; 2016(1):452-456. PMC: 6142485. DOI: 10.1182/asheducation-2016.1.452. View

2.
McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A . The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010; 20(9):1297-303. PMC: 2928508. DOI: 10.1101/gr.107524.110. View

3.
Rubic-Schneider T, Christen B, Brees D, Kammuller M . Minipigs in Translational Immunosafety Sciences: A Perspective. Toxicol Pathol. 2016; 44(3):315-24. DOI: 10.1177/0192623315621628. View

4.
Danecek P, Auton A, Abecasis G, Albers C, Banks E, DePristo M . The variant call format and VCFtools. Bioinformatics. 2011; 27(15):2156-8. PMC: 3137218. DOI: 10.1093/bioinformatics/btr330. View

5.
Regenberg A, Mathews D, Blass D, Bok H, Coyle J, Duggan P . The role of animal models in evaluating reasonable safety and efficacy for human trials of cell-based interventions for neurologic conditions. J Cereb Blood Flow Metab. 2008; 29(1):1-9. PMC: 2682696. DOI: 10.1038/jcbfm.2008.98. View