Details

Autor(en) / Beteiligte

• Lee, Ja-Rang
• Hong, Chang Pyo
• Moon, Jae-Woo
• Jung, Yi-Deun
• Kim, Dae-Soo
• Kim, Tae-Hyung
• Gim, Jeong-An
• Bae, Jin-Han
• Choi, Yuri
• Eo, Jungwoo
• Kwon, Yun-Jeong
• Song, Sanghoon
• Ko, Junsu
• Yang, Young Mok
• Lee, Hak-Kyo
• Park, Kyung-Do
• Ahn, Kung
• Do, Kyoung-Tag
• Ha, Hong-Seok
• Han, Kyudong
• Yi, Joo Mi
• Cha, Hee-Jae
• Cho, Byung-Wook
• Bhak, Jong
• Kim, Heui-Soo

Titel

Genome-wide analysis of DNA methylation patterns in horse

Ist Teil von

• BMC genomics, 2014-07, Vol.15 (1), p.598-598, Article 598

Ort / Verlag

England: BioMed Central Ltd

Erscheinungsjahr

2014

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• DNA methylation is an epigenetic regulatory mechanism that plays an essential role in mediating biological processes and determining phenotypic plasticity in organisms. Although the horse reference genome and whole transcriptome data are publically available the global DNA methylation data are yet to be known. We report the first genome-wide DNA methylation characteristics data from skeletal muscle, heart, lung, and cerebrum tissues of thoroughbred (TH) and Jeju (JH) horses, an indigenous Korea breed, respectively by methyl-DNA immunoprecipitation sequencing. The analysis of the DNA methylation patterns indicated that the average methylation density was the lowest in the promoter region, while the density in the coding DNA sequence region was the highest. Among repeat elements, a relatively high density of methylation was observed in long interspersed nuclear elements compared to short interspersed nuclear elements or long terminal repeat elements. We also successfully identified differential methylated regions through a comparative analysis of corresponding tissues from TH and JH, indicating that the gene body regions showed a high methylation density. We provide report the first DNA methylation landscape and differentially methylated genomic regions (DMRs) of thoroughbred and Jeju horses, providing comprehensive DMRs maps of the DNA methylome. These data are invaluable resource to better understanding of epigenetics in the horse providing information for the further biological function analyses.