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Published on: April 21, 2023
Entangled and non-modular enhancer sequences producing independent spatial activities
Mariam Museridze1,2, Stefano Ceolin1, Bettina Mühling1
1Ludwig-Maximilians Universität München, Fakultät für Biologie, Biozentrum, Planegg-Martinsried, Germany.
Transcriptional enhancers, thought to be modular, often have overlapping sequences. Specific "enhancer cores" within these entangled regions drive distinct regulatory activities, impacting evolutionary studies.
Area of Science:
- Developmental Biology
- Evolutionary Genetics
- Molecular Biology
Background:
- Transcriptional enhancers are regulatory DNA sequences controlling gene expression.
- Enhancer modularity, the ability to drive discrete expression patterns, is key to understanding morphological evolution.
- Current assays often focus on spatial patterns, potentially underestimating the full regulatory sequence required.
Purpose of the Study:
- To investigate the sequence overlap and regulatory information distribution of the five classically modular enhancers of the yellow gene in Drosophila.
- To determine if discrete regulatory activities of entangled enhancers are governed by specific sequence elements.
- To re-evaluate the definition and properties of enhancers in the context of regulatory evolution.
Main Methods:
- Analysis of sequence overlap among five yellow gene enhancers in Drosophila.
- Functional assays to assess the regulatory information distribution within these enhancers.
- Identification of potential "enhancer cores" responsible for specific activities.
Main Results:
- The five yellow gene enhancers, previously considered modular, exhibit extensive sequence overlap.
- Regulatory information is broadly distributed across these entangled enhancer sequences.
- Specific DNA segments, termed "enhancer cores," were identified as nucleating independent regulatory activities.
Conclusions:
- The concept of strict enhancer modularity may need revision due to sequence entanglement.
- Enhancer cores provide a new perspective on how discrete regulatory functions arise from complex regulatory regions.
- These findings have significant implications for understanding the mechanisms of regulatory evolution and morphological change.
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