bioRxivJClub
Why don't transcription factors exploit inter-nucleotide correlations in binding motifs? Evolution of information encoding strategies on DNA
bioRxiv · · Preprint · Open access
Mekasha, Mascolo + 1 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Single locus information (SI) encoding in TF-DNA binding motifs is intrinsically more robust to mutation than correlation-based multi-locus encodings, biasing evolution toward SI.
- Why it matters: The field lacks an explanation for why transcription factors largely ignore nucleotide correlations despite motifs being able to store information through position dependencies.
- What they did: The authors combine analytical derivations, numerical methods, and evolutionary simulations to compare SI versus correlation-based encodings under selection in functional transcriptional regulatory networks.
- The result: SI is linked to a smoother affinity landscape and greater evolvability of regulatory interactions, and a similar SI bias appears in the genetic code, implying a general information-storage strategy under mutational noise.
The findingWhy it mattersWhat they didThe result
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