Chwialkowska Karolina, Korotko Urszula, Kosinska Joanna, Szarejko Iwona, Kwasniewski Miroslaw
Centre for Bioinformatics and Data Analysis, Medical University of Bialystok, Bialystok, Poland.
Department of Genetics, University of Silesia in Katowice, Katowice, Poland.
Front Plant Sci. 2017 Nov 30;8:2056. doi: 10.3389/fpls.2017.02056. eCollection 2017.
Epigenetic mechanisms, including histone modifications and DNA methylation, mutually regulate chromatin structure, maintain genome integrity, and affect gene expression and transposon mobility. Variations in DNA methylation within plant populations, as well as methylation in response to internal and external factors, are of increasing interest, especially in the crop research field. Methylation Sensitive Amplification Polymorphism (MSAP) is one of the most commonly used methods for assessing DNA methylation changes in plants. This method involves gel-based visualization of PCR fragments from selectively amplified DNA that are cleaved using methylation-sensitive restriction enzymes. In this study, we developed and validated a new method based on the conventional MSAP approach called Methylation Sensitive Amplification Polymorphism Sequencing (MSAP-Seq). We improved the MSAP-based approach by replacing the conventional separation of amplicons on polyacrylamide gels with direct, high-throughput sequencing using Next Generation Sequencing (NGS) and automated data analysis. MSAP-Seq allows for global sequence-based identification of changes in DNA methylation. This technique was validated in . However, MSAP-Seq can be straightforwardly implemented in different plant species, including crops with large, complex and highly repetitive genomes. The incorporation of high-throughput sequencing into MSAP-Seq enables parallel and direct analysis of DNA methylation in hundreds of thousands of sites across the genome. MSAP-Seq provides direct genomic localization of changes and enables quantitative evaluation. We have shown that the MSAP-Seq method specifically targets gene-containing regions and that a single analysis can cover three-quarters of all genes in large genomes. Moreover, MSAP-Seq's simplicity, cost effectiveness, and high-multiplexing capability make this method highly affordable. Therefore, MSAP-Seq can be used for DNA methylation analysis in crop plants with large and complex genomes.
表观遗传机制,包括组蛋白修饰和DNA甲基化,相互调节染色质结构,维持基因组完整性,并影响基因表达和转座子移动性。植物群体中DNA甲基化的变异,以及对内部和外部因素作出响应的甲基化,越来越受到关注,尤其是在作物研究领域。甲基化敏感扩增多态性(MSAP)是评估植物DNA甲基化变化最常用的方法之一。该方法涉及对使用甲基化敏感限制酶切割的选择性扩增DNA的PCR片段进行基于凝胶的可视化。在本研究中,我们开发并验证了一种基于传统MSAP方法的新方法,称为甲基化敏感扩增多态性测序(MSAP-Seq)。我们改进了基于MSAP的方法,用下一代测序(NGS)的直接高通量测序和自动化数据分析取代了在聚丙烯酰胺凝胶上对扩增子的传统分离。MSAP-Seq允许基于全局序列识别DNA甲基化的变化。该技术在……中得到了验证。然而,MSAP-Seq可以直接应用于不同的植物物种,包括具有庞大、复杂和高度重复基因组的作物。将高通量测序纳入MSAP-Seq能够对基因组中数十万个位点的DNA甲基化进行平行和直接分析。MSAP-Seq提供了变化的直接基因组定位,并能够进行定量评估。我们已经表明,MSAP-Seq方法专门针对含基因区域,并且一次分析可以覆盖大基因组中四分之三的所有基因。此外,MSAP-Seq的简单性、成本效益和高多重能力使该方法具有很高的可承受性。因此,MSAP-Seq可用于具有庞大和复杂基因组的作物植物的DNA甲基化分析。