Intragenic methylation repatterning is associated with alternative splicing and unique epigenetic phenotypes
Hafner, A.; Kundariya, H.; Sanchez, R.; Nair, A. U.; Mackenzie, S. A.
Show abstract
The role of intragenic cytosine methylation in shaping phenotypes has been contentious. Recent studies show association between stress and alternative splicing of transcripts, but without functional genome-wide or single-position analysis. We utilized the msh1 experimental system in Arabidopsis as a model of reproducible epigenetic states with stress-responsive phenotypes, including commitment to heritable memory for at least seven generations. We mapped the methylome to single-cytosine resolution with signal-detection, verified by machine learning. Differentially methylated genes were overlapped with msh1-derived transcript isoforms to show that different patterns of exonic methylation led to different levels of isoform expression. Alternatively spliced and differentially methylated genes were enriched in key regulators of growth and development and spliceosome components. Genes targeted for differential methylation also contained a known CTT motif. These results demonstrate a direct relationship in plants between environmentally responsive differential methylation and alternative splicing behavior leading to phenotype changes.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- MaizeCODE reveals bi-directionally expressed enhancers that harbor molecular signatures of maize domestication. 98%
- The 3D architecture of the pepper (Capsicum annum) genome and its relationship to function and evolution 97%
- START domains generate paralog-specific regulons from a single network architecture 97%
Similar papers in this journal
Similar papers in this journal
- CREaTor: zero-shot cis-regulatory pattern modeling with attention mechanisms 96%
- Enhancer plasticity in endometrial tumorigenesis demarcates non-coding somatic mutations and 3D-genome alterations boosting the oncogenic driver ESR1 95%
- False gene and chromosome losses affected by assembly and sequence errors 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.