Screening of Candidate Chemical Regulators for the m <sup>6</sup> A Writer MTA in Arabidopsis

Background: The MTA gene encodes a core component of m6A methyltransferase complex, which plays a crucial role in the post-transcriptional modification of RNA that influences many vital processes in plants. However, due to the constraint of embryonic lethality in MTA knockout mutation, the molecular function of MTA gene has yet to be comprehensively investigated. Objective: The aim of this study is to investigate the expression and regulation of MTA in Arabidopsis. Methods: A large-scale transcriptome and genome analysis were carried out for the expression and nsSNP (non-synonymous Single Nucleotide Polymorphism) studies. Structured-based virtual screening, molecular dynamics simulation, binding free energy calculation and m6A modification level assay were employed to mine and validate MTA regulators from COCONUT natural product database. Results: Tissue-specific expression and stress-responsive expression patterns of MTA were observed in Arabidopsis. nsSNPs from the 1,001 Arabidopsis project were not detected in the binding site of the methyl-donor substrate S-adenosylmethionine (SAM) in MTA. 10 small molecules were identified as potential regulators, among which CNP0251613 (adenosine diphosphate glucose, ADPG) was selected and validated to decrease m6A levels at 10 μM vs. the control in Arabidopsis. Conclusion: Our results provide a new insight and chemical entity into the in-depth study of RNA m6A writer MTA in plants.

Authors

Institutions

Publication Details

Journal
Current Bioinformatics
Published
2025-01-09
DOI
https://doi.org/10.2174/0115748936324036241016070320
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Screening of Candidate Chemical Regulators for the m 6 A Writer MTA in Arabidopsis

Zenglin Li, Chuang Ma, C. Jia, Shiheng Tao et al.
Current Bioinformatics
RNA modifications and cancer
article

Screening of Candidate Chemical Regulators for the m 6 A Writer MTA in Arabidopsis

Zenglin Li, Chuang Ma, C. Jia, Shiheng Tao, Jiyuan Liu, Cuixia Tan, Jing Yang, Beilei Lei, Xiaomin Wei, Pengjun Ding
article en

Abstract

Background: The MTA gene encodes a core component of m6A methyltransferase complex, which plays a crucial role in the post-transcriptional modification of RNA that influences many vital processes in plants. However, due to the constraint of embryonic lethality in MTA knockout mutation, the molecular function of MTA gene has yet to be comprehensively investigated. Objective: The aim of this study is to investigate the expression and regulation of MTA in Arabidopsis. Methods: A large-scale transcriptome and genome analysis were carried out for the expression and nsSNP (non-synonymous Single Nucleotide Polymorphism) studies. Structured-based virtual screening, molecular dynamics simulation, binding free energy calculation and m6A modification level assay were employed to mine and validate MTA regulators from COCONUT natural product database. Results: Tissue-specific expression and stress-responsive expression patterns of MTA were observed in Arabidopsis. nsSNPs from the 1,001 Arabidopsis project were not detected in the binding site of the methyl-donor substrate S-adenosylmethionine (SAM) in MTA. 10 small molecules were identified as potential regulators, among which CNP0251613 (adenosine diphosphate glucose, ADPG) was selected and validated to decrease m6A levels at 10 μM vs. the control in Arabidopsis. Conclusion: Our results provide a new insight and chemical entity into the in-depth study of RNA m6A writer MTA in plants.

Current BioinformaticsVol. 21(1)
Northwest University (CN), North West Agriculture and Forestry University (CN), Ministry of Agriculture (CZ), Ministry of Agriculture (TN), Northwest A&F University (CN)
Openalex Percentile: Top 100%
RNA modifications and cancer
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.