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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Animal Genomics and Improvement Laboratory » Research » Publications at this Location » Publication #328024

Title: Reduced representation bisulphite sequencing of the ten bovine somatic tissues reveals DNA methylation patterns

item ZHOU, YANG - Northwest Agricultural & Forestry University
item XU, LINGYANG - University Of Maryland
item HAY, EL HAMIDI ABDEL - Collaborator
item Bickhart, Derek
item SONSTEGARD, TAD - Former ARS Employee
item Van Tassell, Curtis - Curt
item CHEN, HONG - Northwest Agricultural & Forestry University
item Liu, Ge - George

Submitted to: BARC Poster Day
Publication Type: Abstract Only
Publication Acceptance Date: 4/27/2016
Publication Date: 4/27/2016
Citation: Zhou, Y., Xu, L., Hay, E., Bickhart, D.M., Sonstegard, T., Van Tassell, C.P., Chen, H., Liu, G. 2016. Reduced representation bisulphite sequencing of the ten bovine somatic tissues reveals DNA methylation patterns [abstract]. In: Proceedings of 2016 BARC Poster Day, April 27, 2016, Beltsville, Maryland. P63.

Interpretive Summary:

Technical Abstract: As a major component epigenetics, DNA methylation has been proved that widely functions in individual development and various diseases. It has been well studied in model organisms and human but includes limited data for the economic animals. Using reduced representation bisulphite sequencing (RRBS), we obtained single-base-resolution maps of bovine DNA methylation from ten diverse somatic tissues. In total, we evaluated 1,868,049 cytosines in the CG-enriched regions. The methylation contexts (CGs and non-CGs) of cattle showed similar methylation patterns to other species while we found slightly low methylation level (29.87% to 38.06%) in cattle. The non-CG methylation can be detected but their methylation levels in somatic tissues were significantly lower than in the pluripotent cells. To study the potential function of the methylation, we detected 10,794 differently methylated cytosines (DMCs, and 611 of them were in the non-CG context) and 836 differentially methylated CpG islands (DMIs). Further analyses in the same samples revealed many DMCs (including non-CGs) and DMIs, which were highly correlated with the expression of genes involved in tissue development. In summary, our study provided a baseline dataset and essential information for DNA methylation profiles in cattle.