How a protein's function influences the shape of its fitness landscape, smooth or rugged, is a fundamental question in evolutionary biochemistry. Smooth landscapes arise when incremental mutational steps lead to a progressive change in function, as commonly seen in enzymes and binding proteins. On the other hand, rugged landscapes are poorly understood because of the inherent unpredictability of how sequence changes affect function. Here, we experimentally characterize the entire sequence phylogeny, comprising 1,158 extant and ancestral sequences, of the DNA-binding domain (DBD) of the LacI/GalR transcriptional repressor family. Our analysis revealed an extremely rugged landscape with rapid switching of specificity, even between adjacent nodes. Further, the ruggedness arises due to the necessity of the repressor to simultaneously evolve specificity for asymmetric operators and disfavors potentially adverse regulatory crosstalk. Our study provides fundamental insight into evolutionary, molecular, and biophysical rules of genetic regulation through the lens of fitness landscapes.
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http://dx.doi.org/10.1016/j.cels.2024.03.002 | DOI Listing |
Expert Opin Biol Ther
January 2025
Department of Malignant Hematology, Moffitt Cancer Center, Tampa, USA.
Introduction: CAR-T therapy has transformed the treatment landscape for relapsed/refractory diffuse large B-cell lymphomas (DLBCL).
Areas Covered: This article reviews the existing evidence for using CAR-T therapy as a second-line treatment. Two major phase 3 trials, ZUMA-7 and TRANSFORM, have shown that axi-cel and liso-cel, respectively, offer superior outcomes compared to historical standard chemoimmunotherapy and consolidation with autologous hematopoietic stem cell transplantation (auto-HCT).
Mol Biol Evol
January 2025
Institut de Biologie, École Normale Supérieure, CNRS UMR 8197, Inserm U1024, PSL Research University, Paris, F-75005, France.
Modifiers of recombination rates have been described but the selective pressures acting on them and their effect on adaptation to novel environments remain unclear. We performed experimental evolution in the nematode Caenorhabditis elegans using alternative rec-1 alleles modifying the position of meiotic crossovers along chromosomes without detectable direct fitness effects. We show that adaptation to a novel environment is impaired by the allele that decreases recombination rates in the genomic regions containing fitness variation.
View Article and Find Full Text PDFPLoS Genet
December 2024
Laboratory of Genetics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
Advances in DNA sequencing technology and computation now enable genome-wide scans for natural selection to be conducted on unprecedented scales. By examining patterns of sequence variation among individuals, biologists are identifying genes and variants that affect fitness. Despite this progress, most population genetic methods for characterizing selection assume that variants mutate in a simple manner and at a low rate.
View Article and Find Full Text PDFPLoS Comput Biol
January 2025
Microsoft Research, Cambridge, Massachusetts, United States of America.
Machine learning sequence-function models for proteins could enable significant advances in protein engineering, especially when paired with state-of-the-art methods to select new sequences for property optimization and/or model improvement. Such methods (Bayesian optimization and active learning) require calibrated estimations of model uncertainty. While studies have benchmarked a variety of deep learning uncertainty quantification (UQ) methods on standard and molecular machine-learning datasets, it is not clear if these results extend to protein datasets.
View Article and Find Full Text PDFNat Genet
January 2025
Institute of Molecular Oncology, Philipps-University, Marburg, Germany.
The mutational landscape of TP53, a tumor suppressor mutated in about half of all cancers, includes over 2,000 known missense mutations. To fully leverage TP53 mutation status for personalized medicine, a thorough understanding of the functional diversity of these mutations is essential. We conducted a deep mutational scan using saturation genome editing with CRISPR-mediated homology-directed repair to engineer 9,225 TP53 variants in cancer cells.
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