The Molecular Diversity of Adaptive Convergence

By O. Tenaillon, Alejandra Rodríguez-Verdugo, R. Gaut, Pamela McDonald, A. F. Bennett, Anthony D. Long, Brandon S. Gaut. Science, 2012

761 citations recorded by the source corpus.

Subfields: Ecology, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d69303806f18fcf9ab60bba0ffd85e1d78cb883e

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In Ecology

Bernhard O. Palsson

In Genetics

In Molecular Biology

Citations in the corpus

Scalable, continuous evolution of genes at mutation rates above genomic error thresholds (2018, methodology): “For highly error-prone TP-DNAP1s obtained from later rounds of 527 screening, fewer replicates (3-16) were used to achieve similar precision(37).”
Genetic Draft, Selective Interference, and Population Genetics of Rapid Adaptation (2013, background): “…100 E. coli populations for heat tolerance has shown that there are 1000s of sites available for adaptive substitutions, that there is extensive parallelism among lines in the genes and pathways bearing mutations, and that mutations frequently interact epistatically (Tenaillon et al., 2012).”
Phylogenetic trees do not reliably predict feature diversity (2014, background): “…including the following: homoplasy is prevalent for much of the tree of life (Lankester, 1870; Sanderson & Donoghue, 1996; Wake et al., 2011; Tenaillon et al., 2012); deep nodes in phylogenies are difficult to resolve with morphological data (Olmstead et al., 2001; Bremer et al., 2002;…”
Constraint-based models predict metabolic and associated cellular functions (2014, background): “Although other temperature-dependent parameters, such as cellular composition, were not considered 93 , the predicted growth-limiting enzymes significantly overlapped with mutated genes from a previous study 94 on adaptive evolution of E. coli to higher temperatures.”
Predicting evolution (2017, background): “They can be tracked by observations of genetic convergence: in parallel-evolving populations, mutations frequently affect the same genes, operons, or larger functional units 27,41,42 .”
Adaptive laboratory evolution – principles and applications for biotechnology (2013, background): “From these data it can be concluded that: (a) long-term adaptation leads to both largescale transcriptional de-regulation and optimization of terminal nodes (fine-tuning of the expression levels of individual genes), (b) although parallelism is often observed in replicate cultures or even among diff”