{"doi":"10.1073/pnas.2411100121","title":"m <sup>6</sup> A modification plays an integral role in mRNA stability and translation during pattern-triggered immunity","abstract":"Plants employ distinct mechanisms to respond to environmental changes. Modification of mRNA by N 6 -methyladenosine (m 6 A), known to affect the fate of mRNA, may be one such mechanism to reprogram mRNA processing and translatability upon stress. However, it is difficult to distinguish a direct role from a pleiotropic effect for this modification due to its prevalence in RNA. Through characterization of the transient knockdown-mutants of m 6 A writer components and mutants of specific m 6 A readers, we demonstrate the essential role that m 6 A plays in basal resistance and pattern-triggered immunity (PTI). A global m 6 A profiling of mock and PTI-induced Arabidopsis plants as well as formaldehyde fixation and cross-linking immunoprecipitation-sequencing of the m 6 A reader, EVOLUTIONARILY CONSERVED C-TERMINAL REGION2 (ECT2) showed that while dynamic changes in m 6 A modification and binding by ECT2 were detected upon PTI induction, most of the m 6 A sites and their association with ECT2 remained static. Interestingly, RNA degradation assay identified a dual role of m 6 A in stabilizing the overall transcriptome while facilitating rapid turnover of immune-induced mRNAs during PTI. Moreover, polysome profiling showed that m 6 A enhances immune-associated translation by binding to the ECT2/3/4 readers. We propose that m 6 A plays a positive role in plant immunity by destabilizing defense mRNAs while enhancing their translation efficiency to create a transient surge in the production of defense proteins.","journal":"Proceedings of the National Academy of Sciences","year":2024,"id":421665,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":29,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9548,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1037609,"name":"George H. Greene","orcid":null,"position":1,"is_corresponding":false},{"id":1037610,"name":"Jonathan Motley","orcid":null,"position":2,"is_corresponding":false},{"id":1171822,"name":"Musoki Mwimba","orcid":null,"position":3,"is_corresponding":false},{"id":264154,"name":"Guan‐Zheng Luo","orcid":"0000-0002-6797-9319","position":4,"is_corresponding":false},{"id":1037154,"name":"Guoyong Xu","orcid":"0000-0003-2406-9443","position":5,"is_corresponding":false},{"id":1171564,"name":"Sargis Karapetyan","orcid":"0000-0003-0020-310X","position":6,"is_corresponding":false},{"id":1033090,"name":"Yezi Xiang","orcid":"0000-0002-7773-2483","position":7,"is_corresponding":false},{"id":109073,"name":"Chang Liu","orcid":"0000-0001-5219-1089","position":8,"is_corresponding":false},{"id":21408,"name":"Chuan He","orcid":"0000-0003-4319-7424","position":9,"is_corresponding":false},{"id":65941,"name":"Xinnian Dong","orcid":"0000-0002-1120-0951","position":10,"is_corresponding":false},{"id":230756,"name":"Tianyuan Chen","orcid":"0000-0003-3159-4342","position":0,"is_corresponding":true}],"reference_count":54,"raw_metadata":null,"created_at":"2026-07-19T01:57:41.370244Z","pmid":"39116132","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}