A functional selection model explains evolutionary robustness despite plasticity in regulatory networks
Open accessAbstract
Evolutionary rewiring of regulatory networks is an important source of diversity among species. Previous evidence suggested substantial divergence of regulatory networks across species. However, systematically assessing the extent of this plasticity and its functional implications has been challenging due to limited experimental data and the noisy nature of computational predictions. Here, we introduce a novel approach to study cis-regulatory evolution, and use it to trace the regulatory history of 88 DNA motifs of transcription factors across 23 Ascomycota fungi. While motifs are conserved, we find a pervasive gain and loss in the regulation of their target genes. Despite this turnover, the biological processes associated with a motif are generally conserved. We explain these trends using a model with a strong selection to conserve the overall function of a transcription factor, and a much weaker selection over the specific genes it targets. The model also accounts for the turnover of bound targets measured experimentally across species in yeasts and mammals. Thus, selective pressures on regulatory networks mostly tolerate local rewiring, and may allow for subtle fine-tuning of gene regulation during evolution.
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Evolution of genetic signaling and regulatory systems usually proceeds through gene duplication and loss with neofunctionalization and subfunctionalization leading to functional changes.
“Evolution of genetic signaling and regulatory systems usually proceeds through gene duplication and loss with concomitant processes of neofunctionalization and subfunctionalization leading to functional changes”
From Mitochondrial retrograde control of transcription evolves with respiratory stress, metabolic adaptation, and virulence in budding yeasts (2026) · cites this paper as Habib et al. 2012
The Introduction reports widespread gain and loss of regulatory target genes, and Results (‘Innovations through expansion and switch of functions’; page unavailable) says this sometimes expands or switches a motif’s function. The paper does not describe gene duplication with neofunctionalization and subfunctionalization as the usual route of regulatory evolution; it instead says the associated biological processes are typically conserved. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe evolutionary scenario is consistent with a model proposing strong selection of the conservation of the overall function of a transcription control pathway with weaker selection on the specific genes it targets.
“Such an evolutionary scenario is consistent with a model proposing strong selection of the conservation of the overall function of a transcription control pathway with a weaker selection on the specific genes it targets that was previously proposed in Ascomycota (Habib et al. 2012).”
From Mitochondrial retrograde control of transcription evolves with respiratory stress, metabolic adaptation, and virulence in budding yeasts (2026) · cites this paper as Habib et al. 2012
Enhancer conservation is typically modular, commonly preserving the sets of binding sites for the required transcription factors, but often not their exact sequence and orientation.
“Instead, enhancer conservation is typically “modular”, commonly preserving the sets of binding sites for the required TFs, but often not their exact sequence and orientation [101–109].”
From Transcriptional enhancers and their communication with gene promoters (2021) · cites this paper as [105]
The Results section on functional conservation of regulatory DNA motifs describes conserved motif–function associations, while the Discussion describes turnover of target genes within functional modules. Neither passage addresses whether individual enhancers preserve sets of transcription-factor binding sites while their exact sequences and orientations change; searches for enhancer conservation, binding-site sequence, and orientation did not establish that claim. (LLM, conf=0.73)
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- Authors
- Habib, N., Wapinski, I., Margalit, H., Regev, A., & Friedman, N.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Broad Institute (US)
- Corresponding author
- Margalit, Hanah
- Regev, Aviv
- Friedman, Nir
- Venue
- Molecular Systems Biology
- Published
- 2012-10-23
- Volume
- 8
- Issue
- 1
- Pages
- 619-619
- ISSN
- 1744-4292 (ISSN-L)
- PMC
- PMC3501536
- OpenAlex
- W2142265915
- Cited by
- 50
- References
- 76
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 4 · 2016: 4 · 2015: 9 · 2014: 8 · 2013: 7 · 2012: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Systems Biology (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Funders
- Howard Hughes Medical Institute
- Alfred P. Sloan Foundation
- Damon Runyon Cancer Research Foundation
- National Institutes of Health (5r01ca119176-10, NIH-R01, 2R01CA119176-01)
- National Cancer Institute (R01 2R01CA119176-01, DP1CA174427, R01-CA119176)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- cis-regulatory evolution
- MeSH terms
- Animals, Ascomycota, Base Sequence, DNA, Fungal, Fungal Proteins, Mammals, Models, Genetic, Molecular Sequence Data, Phylogeny, Protein Binding, Regulatory Sequences, Nucleic Acid, Selection, Genetic, Species Specificity, Transcription Factors, Conserved Sequence, Evolution, Molecular, Gene Regulatory Networks, Nucleotide Motifs
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