Methylation Genome-Wide Profiling in Lowly and Highly Efficient Somatic Cell Nuclear Transfer in Pigs

Author:

Grzybek Maciej1ORCID,Flisikowski Krzysztof2ORCID,Giles Tom34,Dyjak Marta5,Ploski Rafal6,Gasperowicz Piotr6,Emes Richard D.34ORCID,Lisowski Pawel7

Affiliation:

1. Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, Powstania Styczniowego 9B, 81-429 Gdynia, Poland

2. Chair of Livestock Biotechnology, Technische Universität München, Liesel-Beckmann Str. 1, D-85354 Freising, Germany

3. School of Veterinary Medicine and Science, Sutton Bonington Campus, University of Nottingham, Leicestershire LE12 5RD, UK

4. Advanced Data Analysis Centre, University of Nottingham, Nottingham NG7 2RD, UK

5. Department of Animal Behavior, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzebiec, 36A Postepu Street, 05-552 Magdalenka, Poland

6. Department of Medical Genetics, Medical University of Warsaw, 3c Pawińskiego Street, 02-106 Warsaw, Poland

7. Department of Molecular Biology, Institute of Genetics and Animal Breeding, Polish Academy of Sciences, Jastrzebiec, 36A Postepu Street, 05-552 Magdalenka, Poland

Abstract

Swine is a common model organism for biomedical research. Epigenetic reprogramming in somatic cell nuclear transfer (SCNT) embryos does not fully recapitulate the natural DNA demethylation events at fertilisation. This study aimed to conduct genome-wide methylation profiling to detect differentially methylated regions (DMRs) responsible for epigenetic differences in stem cells that displayed high and low efficiency of SCNT and to elucidate the low efficiency of cloning rate in pigs. Adipose tissue mesenchymal stem cells (AMSC)s lines were isolated from adipose tissue of adult male pigs (n = 20; high-efficiency cells = 10; and low-efficiency cells = 10). Reduced representation bisulfite sequencing (RRBS) was performed on an Illumina HiSeq1500. Paired-end reads were filtered to remove the adapter contamination, and low-quality reads using TrimGalore! Filtered reads were mapped to the reference genome using Bismark. MethylKit was used to identify differentially methylated regions (DMRs) (bases and tiles), showing statistically significant differential methylation between high and low-efficiency AMSCs. Hierarchical cluster analysis according to methylation patterns clearly defined groups with low and high cloning efficiency. We report 3704 bases with statistically significant differences in methylation and 10062 tiles with statistically significant differences in methylation. Most differentially methylated sites are intergenic 62%, 31% are intronic, 4% are in exons, and 4% in promoters. Moreover, 37% of differentially methylated sites are located in known CpG islands (CGIs), and 4% in CpG island shores (CGSs).

Funder

National Center for Science, Poland PRELUDIUM

National Center for Science, Poland SONATA

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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