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Reconstructing evolutionary adaptive paths (REAP) is a low-throughput technique used to design protein libraries that can be assayed for specific properties such as catalytic function or thermostability. This approach takes advantage of natural selection by using theoretical ancestral proteins as the foundation for library variants. REAP gives rise to smaller libraries but with a higher ratio of viable proteins than other high-throughput techniques. REAP uses analyses of ancestral sequences and signatures of functional divergence to modify extant protein sequences. This allows the experimenter to statistically evaluate which amino acid mutations in which sites within the protein are most likely to produce functional proteins having varied phenotypes.
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http://dx.doi.org/10.1007/978-1-4939-1053-3_24 | DOI Listing |
Mol Ecol
September 2025
Department of Botany, Faculty of Science, Charles University, Prague, Czech Republic.
Determining species boundaries is key for appropriately assessing biodiversity. However, the continuity of the speciation process makes delimiting species a difficult task, especially for recently diverged taxa. Furthermore, past introgression may leave traces that result in reticulate evolutionary patterns, challenging the estimation of species relationships.
View Article and Find Full Text PDFNew Phytol
September 2025
Laboratory of Tree Ring Research, University of Arizona, Tucson, AZ, 85721, USA.
Trees harbor large stores of nonstructural carbohydrates, some of which are quite old (> 10 yr), yet we know little of how these older stores may be used for woody growth. Crucially, the use of old carbohydrates during cellulose biosynthesis could confound climate reconstructions that rely on tree ring stable isotope ratios. We analyzed tree-ring cellulose ΔC and δC in earlywood of two pine species from montane forests in western North America using tree rings produced during the radiocarbon bomb pulse (1966-1980).
View Article and Find Full Text PDFGenetics
September 2025
Institute of Ecology and Evolution, School of Biological Sciences, The University of Edinburgh, Edinburgh, EH9 3FL, United Kingdom.
Recent advances in methods to infer and analyse ancestral recombination graphs (ARGs) are providing powerful new insights in evolutionary biology and beyond. Existing inference approaches tend to be designed for use with fully-phased datasets, and some rely on model assumptions about demography and recombination rate. Here I describe a simple model-free approach for genealogical inference along the genome from unphased genotype data called Sequential Tree Inference by Collecting Compatible Sites (sticcs).
View Article and Find Full Text PDFBrief Bioinform
September 2025
Beijing Institute of Mathematical Sciences and Applications (BIMSA), Beijing 101408, P. R. China.
With the rapid development of genomic sequencing technologies, there is an increasing demand for efficient and accurate sequence analysis methods. However, existing methods face challenges in handling long, variable-length sequences and large-scale datasets. To address these issues, we propose a novel encoding method-Energy Entropy Vector (EEV).
View Article and Find Full Text PDFMol Phylogenet Evol
September 2025
School of Ecology and Environmental Science, Yunnan Key Laboratory of Plant Reproductive Adaptation and Evolutionary Ecology and Institute of Biodiversity, School of Life Sciences, Yunnan University, Kunming 650504 Yunnan, China. Electronic address:
The advent of high-throughput genomic sequencing has provided unprecedented access to genome-scale data. This deluge of data has yielded new insights into phylogenetic relationships across the tree of life. However, incongruent results arising from different data partitions or from the use of different analyses have often been overlooked or insufficiently explored.
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