4.6 Review

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

Journal

FRONTIERS IN GENETICS
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fgene.2021.668317

Keywords

epigenetic modification; DNA methylation; N6-methyladenosine; gene expression; artificial intelligence; deep learning

Funding

  1. Special Project of Science and Technology Innovation Plan of Shaanxi Academy of Forestry [SXLK2020-0212]
  2. National Key Research and Development Program of China [2019YFD1000600]

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Studies have shown that DNA 6mA modification plays a significant role in plants, particularly activating gene expression in model plants. However, the occurrence and importance of 6mA in non-model crops remain less understood, presenting an area for further research.
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 (Arabidopsis thaliana) and monocot rice (Oryza sativa). However, in non-model crops, the occurrence and importance of 6mA remains largely less known, with only limited reports in few species, such as Rosaceae (wild strawberry), and soybean (Glycine max). 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.

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