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Harnessing Current Knowledge of DNA N6-Methyladenosine From Model Plants for Non-model Crops

Overview
Journal Front Genet
Date 2021 May 17
PMID 33995495
Citations 9
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Abstract

Epigenetic modifications alter the gene activity and function by causing change in the chromosomal architecture through DNA methylation/demethylation, or histone modifications without causing any change in DNA sequence. In plants, DNA cytosine methylation (5mC) is vital for various pathways such as, gene regulation, transposon suppression, DNA repair, replication, transcription, and recombination. Thanks to recent advances in high throughput sequencing (HTS) technologies for epigenomic "Big Data" generation, accumulated studies have revealed the occurrence of another novel DNA methylation mark, N6-methyladenosine (6mA), which is highly present on gene bodies mainly activates gene expression in model plants such as eudicot Arabidopsis () and monocot rice (). However, in non-model crops, the occurrence and importance of 6mA remains largely less known, with only limited reports in few species, such as (wild strawberry), and soybean (). Given the aforementioned vital roles of 6mA in plants, hereinafter, we summarize the latest advances of DNA 6mA modification, and investigate the historical, known and vital functions of 6mA in plants. We also consider advanced artificial-intelligence biotechnologies that improve extraction and prediction of 6mA concepts. In this Review, we discuss the potential challenges that may hinder exploitation of 6mA, and give future goals of 6mA from model plants to non-model crops.

Citing Articles

Symmetric and asymmetric DNA N6-adenine methylation regulates different biological responses in Mucorales.

Lax C, Mondo S, Osorio-Concepcion M, Muszewska A, Corrochano-Luque M, Gutierrez G Nat Commun. 2024; 15(1):6066.

PMID: 39025853 PMC: 11258239. DOI: 10.1038/s41467-024-50365-2.


CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction.

Tsukiyama S, Hasan M, Kurata H Comput Struct Biotechnol J. 2023; 21:644-654.

PMID: 36659917 PMC: 9826936. DOI: 10.1016/j.csbj.2022.12.043.


Distribution Pattern of N6-Methyladenine DNA Modification in the Seashore Paspalum () Genome.

Hao J, Xing J, Hu X, Wang Z, Tang M, Liao L Front Plant Sci. 2022; 13:922152.

PMID: 35873961 PMC: 9302377. DOI: 10.3389/fpls.2022.922152.


DNA N6-Methyladenine Modification in Eukaryotic Genome.

Li H, Zhang N, Wang Y, Xia S, Zhu Y, Xing C Front Genet. 2022; 13:914404.

PMID: 35812743 PMC: 9263368. DOI: 10.3389/fgene.2022.914404.


Same modification, different location: the mythical role of N-adenine methylation in plant genomes.

Jimenez-Ramirez I, Pijeira-Fernandez G, Moreno-Calix D, De-la-Pena C Planta. 2022; 256(1):9.

PMID: 35696004 DOI: 10.1007/s00425-022-03926-y.


References
1.
Zhang Q, Liang Z, Cui X, Ji C, Li Y, Zhang P . N-Methyladenine DNA Methylation in Japonica and Indica Rice Genomes and Its Association with Gene Expression, Plant Development, and Stress Responses. Mol Plant. 2018; 11(12):1492-1508. DOI: 10.1016/j.molp.2018.11.005. View

2.
Liu Z, Dong W, Jiang W, He Z . csDMA: an improved bioinformatics tool for identifying DNA 6 mA modifications via Chou's 5-step rule. Sci Rep. 2019; 9(1):13109. PMC: 6739324. DOI: 10.1038/s41598-019-49430-4. View

3.
Lv H, Dao F, Guan Z, Zhang D, Tan J, Zhang Y . iDNA6mA-Rice: A Computational Tool for Detecting N6-Methyladenine Sites in Rice. Front Genet. 2019; 10:793. PMC: 6746913. DOI: 10.3389/fgene.2019.00793. View

4.
Chen W, Lv H, Nie F, Lin H . i6mA-Pred: identifying DNA N6-methyladenine sites in the rice genome. Bioinformatics. 2019; 35(16):2796-2800. DOI: 10.1093/bioinformatics/btz015. View

5.
Zhou C, Wang C, Liu H, Zhou Q, Liu Q, Guo Y . Identification and analysis of adenine N-methylation sites in the rice genome. Nat Plants. 2018; 4(8):554-563. DOI: 10.1038/s41477-018-0214-x. View