No evidence of functional co-adaptation between clustered microRNAs
Marco, A.
Show abstract
A significant fraction of microRNA loci are organized in genomic clusters. The origin and evolutionary dynamics of these clusters have been extensively studied, although different authors have come to different conclusions. In a recent paper, it has been suggested that microRNAs in the same clusters evolve to target overlapping sets of genes. The authors interpret this as functional co- adaptation between clustered microRNAs. Here I reanalyze their results and I show that the observed overlap is mostly due to two factors: similarity between two seed sequences of a pair of clustered microRNAs, and the expected high number of common targets between pairs of microRNAs that have a large number of targets each. After correcting for these factors, I observed that clustered microRNAs from different microRNA families do not share more targets than expected by chance. During an exchange of correspondence and manuscripts, the authors of the original report acknowledged that the permutation methods they performed was not the method they described in their original paper. Here I show that the new permutation test proposed is biased and leads to systematic errors of the first kind, which will explain why the p-values reported were extremely (and unrealistically) low. I also discuss how to investigate the evolutionary dynamics of clustered microRNAs and their targets. In conclusion, there is no evidence of widespread functional co-adaptation between clustered microRNAs.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evolutionary Inference Predicts Novel ACE2 Protein Interactions Relevant to COVID-19 Pathologies 90%
- A comprehensive algorithmic dissection yields biomarker discovery and insights into the discrete stage-wise progression of colorectal cancer 89%
- False discovery rate control: Moving beyond the Benjamini-Hochberg method 89%
Similar papers in this journal
- Dynamical gene regulatory networks are tuned by transcriptionalautoregulation with microRNA feedback. 95%
- A role for circular code properties in translation 92%
- The developmental transcriptome of Parhyale hawaiensis: microRNAs and mRNAs show different expression dynamics during the maternal-zygotic transition 92%
Similar papers in this journal
Similar papers in this journal
- The Translation Machinery Is Immune from miRNA Perturbations: A Cell-Based Probabilistic Approach 92%
- Identifying promoter sequence architectures via a chunking-based algorithm using non-negative matrix factorisation 92%
- RNA covariation at helix-level resolution for the identification of evolutionarily conserved RNA structure 91%
"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.