Genome analysis of Yucatan miniature pigs to assess their potential as biomedical model animals
2
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer’s disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.
Abstract
Objective: Pigs share many physiological, anatomical and genomic similarities with humans, which make them suitable models for biomedical researches. Understanding the genetic status of Yucatan miniature pigs (YMPs) and their association with human diseases will help to assess their potential as biomedical model animals. This study was performed to identify non-synonymous single nucleotide polymorphisms (nsSNPs) in selective sweep regions of the genome of YMPs and present the genetic nsSNP distributions that are potentially associated with disease occurrence in humans. Methods: nsSNPs in whole genome resequencing data from 12 YMPs were identified and annotated to predict their possible effects on protein function. Sorting intolerant from tolerant (SIFT) and polymorphism phenotyping v2 analyses were used, and gene ontology (GO) network and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed. Results: The results showed that 8,462 genes, encompassing 72,067 nsSNPs were identified, and 118 nsSNPs in 46 genes were predicted as deleterious. GO network analysis classified 13 genes into 5 GO terms (p<0.05) that were associated with kidney development and metabolic processes. Seven genes encompassing nsSNPs were classified into the term associated with Alzheimer’s disease by referencing the genetic association database. The KEGG pathway analysis identified only one significantly enriched pathway (p<0.05), hsa04080: Neuroactive ligand-receptor interaction, among the transcripts. Conclusion: The number of deleterious nsSNPs in YMPs was identified and then these variants-containing genes in YMPs data were adopted as the putative human diseases-related genes. The results revealed that many genes encompassing nsSNPs in YMPs were related to the various human genes which are potentially associated with kidney development and metabolic processes as well as human disease occurrence.
참고문헌 (29)
- Wernersson R, "Pigs in sequence space: a 0.66 X coverage pig genome survey based on shotgun sequencing", BMC Genomics, 6, pp.70~ (2005)
- Kim H, "Exploring the genetic signature of body size in Yucatan miniature pig", PLoS One, 10, pp.e0121732~ (2015)
- Panepinto L, "The Yucatan miniature pig : characterization and utilization in biomedical research", Lab Anim Sci, 36, pp.344~347 (1986)
- Smith DM, "DNA sequence based typing of swine leukocyte antigens in Yucatan miniature pigs", Xenotransplantation, 12, pp.481~488 (2005)
- Groenen MA, "Analyses of pig genomes provide insight into porcine demography and evolution", Nature, 491, pp.393~398 (2012)
- Radivojac P, "Identification, analysis, and prediction of protein ubiquitination sites", Proteins, 78, pp.365~380 (2010)
- Azad AK, "Innate immune gene polymorphisms in tuberculosis", Infect Immun, 80, pp.3343~3359 (2012)[DOI]
- Netea MG, "Genetic variation in Toll-like receptors and disease susceptibility", Nat Immunol, 13, pp.535~542 (2012)
- Noreen M, "Association of TLR1, TLR2, TLR4, TLR6, and TIRAP polymorphisms with disease susceptibility", Immunol Res, 62, pp.234~252 (2015)
- Ghosh M, "An integrated in silico approach for functional and structural impact of non-synonymous SNPs in the MYH1 gene in Jeju Native Pigs", BMC Genet, 17, pp.35~ (2016)
- Bolger AM, "Trimmomatic : a flexible trimmer for Illumina sequence data", Bioinformatics, 30, pp.2114~2120 (2014)
- Langmead B, "Fast gapped-read alignment with Bowtie 2", Nat Methods, 9, pp.357~359 (2012)
- Li H, "The Sequence Alignment", Map format and SAMtools, 2009, pp.25, 2078~2079
- McKenna A, "The Genome Analysis Toolkit : a MapReduce framework for analyzing next-generation DNA sequencing data", Genome Res, 20, pp.1297~1303 (2010)
- Ng PC, "SIFT : Predicting amino acid changes that affect protein function", Nucleic Acids Res, 31, pp.3812~3814 (2003)
- Adzhubei I, "Predicting functional effect of human missense mutations using PolyPhen-2", Curr Protoc Hum Genet, 76(1) (2013)
- Cingolani P, "A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff : SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3", Fly(Austin), 6, pp.80~92 (2012)
- Shultz LD, "Humanized mice in translational biomedical research", Nat Rev Immunol, 7, pp.118~130 (2007)
- Hunter KW, "Mouse models of cancer: does the strain matter?", Nat Rev Cancer, 12, pp.144~149 (2012)
- Babiak J, "Lipoproteins and atherosclerosis", Baillieres Clin Endocrinol Metab, 1, pp.515~550 (1987)
- Burnett JR, "Common and rare gene variants affecting plasma LDL cholesterol", Clin Biochem Rev, 29, pp.11~26 (2008)
- Xi S, "A minipig model of high‐fat", high‐sucrose diet‐induced diabetes and atherosclerosis, 2004, pp.85, 223~231
- Dixon JL, "Dyslipidemia and vascular dysfunction in diabetic pigs fed an atherogenic diet", Arterioscler Thromb Vasc Biol, 19, pp.2981~2992 (1999)
- Johansen T, "The Obese Göttingen minipig as a model of the metabolic syndrome : dietary effects on obesity, insulin sensitivity, and growth hormone profile", Comp Med, 51, pp.150~155 (2001)
- Hardy J, "The amyloid hypothesis of Alzheimer's disease : progress and problems on the road to therapeutics", Science, 297, pp.353~356 (2002)
- Takeuchi A, "Age-related amyloid β deposition in transgenic mice overexpressing both Alzheimer mutant presenilin 1 and amyloid β precursor protein Swedish mutant is not associated with global neuronal loss", Am J Pathol, 157, pp.331~339 (2000)
- Kragh PM, "Hemizygous minipigs produced by random gene insertion and handmade cloning express the Alzheimer’s disease-causing dominant mutation APPsw", Transgenic Res, 18, pp.545~558 (2009)
- Beck M, "Guinea pigs as a nontransgenic model for APP processing in vitro and in vivo", Neurochem Res, 28, pp.637~644 (2003)
- Prather RS, "Genetically modified pigs for medicine and agriculture", Biotechnol Genet Eng Rev, 25, pp.245~265 (2008)
