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  5. MET18 Connects the Cytosolic Iron-Sulfur Cluster Assembly Pathway to Active DNA Demethylation in Arabidopsis

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Article
en
2015

MET18 Connects the Cytosolic Iron-Sulfur Cluster Assembly Pathway to Active DNA Demethylation in Arabidopsis

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en
2015
Vol 11 (10)
Vol. 11
DOI: 10.1371/journal.pgen.1005559

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Jian Kang Zhu
Jian Kang Zhu

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Cheng‐Guo Duan
Xingang Wang
Kai Tang
+9 more

Abstract

DNA demethylation mediated by the DNA glycosylase ROS1 helps determine genomic DNA methylation patterns and protects active genes from being silenced. However, little is known about the mechanism of regulation of ROS1 enzymatic activity. Using a forward genetic screen, we identified an anti-silencing (ASI) factor, ASI3, the dysfunction of which causes transgene promoter hyper-methylation and silencing. Map-based cloning identified ASI3 as MET18, a component of the cytosolic iron-sulfur cluster assembly (CIA) pathway. Mutation in MET18 leads to hyper-methylation at thousands of genomic loci, the majority of which overlap with hypermethylated loci identified in ros1 and ros1dml2dml3 mutants. Affinity purification followed by mass spectrometry indicated that ROS1 physically associates with MET18 and other CIA components. Yeast two-hybrid and split luciferase assays showed that ROS1 can directly interact with MET18 and another CIA component, AE7. Site-directed mutagenesis of ROS1 indicated that the conserved iron-sulfur motif is indispensable for ROS1 enzymatic activity. Our results suggest that ROS1-mediated active DNA demethylation requires MET18-dependent transfer of the iron-sulfur cluster, highlighting an important role of the CIA pathway in epigenetic regulation.

How to cite this publication

Cheng‐Guo Duan, Xingang Wang, Kai Tang, Huiming Zhang, Satendra K. Mangrauthia, Mingguang Lei, Chuan‐Chih Hsu, Yueh‐Ju Hou, Chunguo Wang, Yan Li, W. Andy Tao, Jian Kang Zhu (2015). MET18 Connects the Cytosolic Iron-Sulfur Cluster Assembly Pathway to Active DNA Demethylation in Arabidopsis. , 11(10), DOI: https://doi.org/10.1371/journal.pgen.1005559.

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Publication Details

Type

Article

Year

2015

Authors

12

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1371/journal.pgen.1005559

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