4.6 Article

Inference of DNA methylation patterns in molluscs

出版社

ROYAL SOC
DOI: 10.1098/rstb.2020.0166

关键词

CpG observed; expected distribution; DNA methylation; DNA methyltransferase; epigenetics; molluscs

类别

资金

  1. Deutsche Forschungsgemeinschaft

向作者/读者索取更多资源

Mollusca is the second largest and most diverse phylum in the animal kingdom, exhibiting a variety of DNA methylation patterns across its classes. While substantial levels of DNA methylation are generally present in molluscs, certain groups show reductions in levels, and some classes lack components of the DNMT toolkit.
Mollusca are the second largest and arguably most diverse phylum of the animal kingdom. This is in sharp contrast to our very limited knowledge concerning epigenetic mechanisms including DNA methylation in this invertebrate group. Here, we inferred DNA methylation patterns by analysing the normalized dinucleotide CG content in protein-coding sequences and identified DNA methyltransferases (DNMT1 and 3) in published transcriptomes and genomes of 140 species across all eight classes of molluscs. Given the evolutionary age and morphological diversity of molluscs, we expected to find evidence for diverse methylation patterns. Our inferences suggest that molluscs possess substantial levels of DNA methylation in gene bodies as a rule. Yet, we found deviations from this general picture with regard to (i) the CpG observed/expected distributions indicating a reduction in DNA methylation in certain groups and (ii) the completeness of the DNMT toolkit. Reductions were evident in Caudofoveata, Solenogastres, Polyplacophora, Monoplacophora, as well as Scaphopoda. Heterobranchia and Oegopsida were remarkable as they lacked DNMT3, usually responsible for de novo methylation, yet showed signs of DNA methylation. Our survey may serve as guidance for direct empirical analyses of DNA methylation in molluscs. This article is part of the Theo Murphy meeting issue 'Molluscan genomics: broad insights and future directions for a neglected phylum'.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据