MethylRAD: a simple and scalable method for genome-wide DNA methylation profiling using methylation-dependent restriction enzymes

Author:

Wang Shi12,Lv Jia1,Zhang Lingling1,Dou Jinzhuang1,Sun Yan1,Li Xue1,Fu Xiaoteng1,Dou Huaiqian1,Mao Junxia1,Hu Xiaoli12,Bao Zhenmin12

Affiliation:

1. Ministry of Education Key Laboratory of Marine Genetics and Breeding, College of Marine Life Sciences, Ocean University of China, Qingdao, People's Republic of China

2. Qingdao National Laboratory for Marine Science and Technology, Qingdao, People's Republic of China

Abstract

Characterization of dynamic DNA methylomes in diverse phylogenetic groups has attracted growing interest for a better understanding of the evolution of DNA methylation as well as its function and biological significance in eukaryotes. Sequencing-based methods are promising in fulfilling this task. However, none of the currently available methods offers the ‘perfect solution’, and they have limitations that prevent their application in the less studied phylogenetic groups. The recently discovered Mrr-like enzymes are appealing for new method development, owing to their ability to collect 32-bp methylated DNA fragments from the whole genome for high-throughput sequencing. Here, we have developed a simple and scalable DNA methylation profiling method (called MethylRAD) using Mrr-like enzymes. MethylRAD allows for de novo (reference-free) methylation analysis, extremely low DNA input (e.g. 1 ng) and adjustment of tag density, all of which are still unattainable for most widely used methylation profiling methods such as RRBS and MeDIP. We performed extensive analyses to validate the power and accuracy of our method in both model (plant Arabidopsis thaliana ) and non-model (scallop Patinopecten yessoensis ) species. We further demonstrated its great utility in identification of a gene ( LPCAT1 ) that is potentially crucial for carotenoid accumulation in scallop adductor muscle. MethylRAD has several advantages over existing tools and fills a void in the current epigenomic toolkit by providing a universal tool that can be used for diverse research applications, e.g. from model to non-model species, from ordinary to precious samples and from small to large genomes, but at an affordable cost.

Funder

Fok Ying-Tong Education Foundation

National High Technology Research and Development Program of China

Natural Science Foundation for Distinguished Young Scholars of Shandong Province

National Natural Science Foundation of China

Publisher

The Royal Society

Subject

General Biochemistry, Genetics and Molecular Biology,Immunology,General Neuroscience

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