Epigenetic variation is being integrated into our understanding of adaptation, yet we lack models on how epigenetic mutations affect evolution that includes de novo genetic change. We model the effects of epigenetic mutations on the dynamics and endpoints of adaptive walks-a process where a series of beneficial mutations move a population towards a fitness optimum. We use an individual-based model of an asexual population, where mutational effects are drawn from Fisher's geometric model. We find cases where epigenetic mutations speed adaptation or result in populations with higher fitness. However, we also find cases where they slow adaptation or result in populations with lower fitness. The effect of epigenetic mutations on adaptive walks depends crucially on their stability and fitness effects relative to genetic mutations, with small-effect epigenetic mutations generally speeding adaptation, and epigenetic mutations with the same fitness effects as genetic mutations slowing adaptation. Our work reveals a complex relationship between epigenetic mutations and natural selection and highlights the need for empirical data.
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http://dx.doi.org/10.1111/mec.13296 | DOI Listing |
Nat Commun
January 2025
Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Planegg-Martinsried, Germany.
The evolutionary impact of epigenetic variation depends on its transgenerational stability and source - whether genetically determined, environmentally induced, or due to spontaneous, genotype-independent mutations. Here, we evaluate current approaches for investigating an independent role of epigenetics in evolution, pinpointing methodological challenges. We further identify opportunities arising from integrating epigenetic data with population genetic analyses in natural populations.
View Article and Find Full Text PDFCell Death Discov
January 2025
Cutaneous Biology Research Center, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, 02129, USA.
Ankyloblepharon-Ectodermal Defects-Cleft Lip/Palate (AEC) syndrome is a rare genetic disorder caused by mutations in the TP63 gene, which encodes a transcription factor essential for epidermal gene expression. A key feature of AEC syndrome is chronic skin erosion, for which no effective treatment currently exists. Our previous studies demonstrated that mutations associated with AEC syndrome lead to p63 protein misfolding and aggregation, exerting a dominant-negative effect.
View Article and Find Full Text PDFSemin Cancer Biol
January 2025
Biomedical Research Center, Slovak Academy of Sciences, Dubravska Cesta 9, 84505 Bratislava, Slovakia. Electronic address:
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by late detection and poor prognosis. Recent research highlights the pivotal role of epigenetic alter- ations in driving PDAC development and progression. These changes, in conjunction with genetic mutations, contribute to the intricate molecular landscape of the disease.
View Article and Find Full Text PDFJ Biol Chem
January 2025
Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, Quebec H3A 1A3, Canada; Department of Medicine, McGill University, Montreal, Quebec H3A 1A3, Canada; Department of Biochemistry, McGill University, Montreal, Quebec H3A 1A3, Canada; McGill University Health Center, Montreal, Quebec H3A 1A3, Canada. Electronic address:
Site-directed mutagenesis is a fundamental tool indispensable for protein and plasmid engineering. An important technological question is how to achieve the efficiency at the ideal level of 100%. Based on complementary primer pairs, the QuickChange method has been widely used, but it requires significant improvements due to its low efficiency and frequent unwanted mutations.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Second Department of Oncology, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, China.
Introduction: We conducted a panoramic analysis of GBN5 expression and prognosis in 33 cancers, aiming to deepen the systematic understanding of GBN5 in cancer.
Materials And Methods: We employed a multi-omics approach, including transcriptomic, genomic, proteomic, single-cell cytomic, spatial transcriptomic, and genomic data, to explore the prognostic value and potential oncogenic mechanisms of GBN5 across pan-cancers from multiple perspectives.
Results: We found that GBN5 was differentially expressed in multiple tumors and showed early diagnostic value.
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