Journal ArticleDOI
Empirical fitness landscapes and the predictability of evolution
TLDR
This work reviews recent empirical and theoretical developments of the genotype–fitness map, identifies methodological issues and organizing principles, and discusses possibilities to develop more realistic fitness landscape models.Abstract:
A central topic in biology concerns how genotypes determine phenotypes and functions of organisms that affect their evolutionary fitness. This Review discusses recent advances in the development of empirical fitness landscapes and their contribution to theoretical analyses of the predictability of evolution. The genotype–fitness map (that is, the fitness landscape) is a key determinant of evolution, yet it has mostly been used as a superficial metaphor because we know little about its structure. This is now changing, as real fitness landscapes are being analysed by constructing genotypes with all possible combinations of small sets of mutations observed in phylogenies or in evolution experiments. In turn, these first glimpses of empirical fitness landscapes inspire theoretical analyses of the predictability of evolution. Here, we review these recent empirical and theoretical developments, identify methodological issues and organizing principles, and discuss possibilities to develop more realistic fitness landscape models.read more
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Dissertation
Forecasting evolution of bacteria in a specialization context : a functionnal approach combining modeling, in vitro experiments and genomic analysis
TL;DR: In this article, the authors propose an approach to predict the evolution of trajectoires evolutives, i.e., trajectoire evoluttives that are modified by organisms to adapt to changes in the environment.
Journal ArticleDOI
Using evolutionary functional–structural plant modelling to understand the effect of climate change on plant communities
Posted ContentDOI
Chromosomal barcoding of E. coli populations reveals lineage diversity dynamics at high resolution
Jesse Lerner,Michael Manhart,Weronika Jasinska,Louis Gauthier,Adrian W.R. Serohijos,Shimon Bershtein +5 more
TL;DR: A chromosomal barcoding technique that allows simultaneous tracking of ∼450,000 distinct lineages in E. coli and an analysis of individual lineage trajectories suggest how standing genetic variation and new mutations may contribute to adaptation to sub-inhibitory antibiotic levels.
Posted ContentDOI
A Driven Disordered Systems Approach to Biological Evolution in Changing Environments
TL;DR: In this article, a particular model of antibiotic resistance evolution in bacteria is studied, where the antibiotic concentration is an environmental parameter and the fitness landscapes incorporate tradeoffs between adaptation to low and high antibiotic concentration.
Journal ArticleDOI
Host-parasite coevolution promotes innovation through deformations in fitness landscapes
TL;DR: In this paper , the fitness landscape of a virus, bacteriophage λ, as it coevolved with its host, the bacterium Escherichia coli, was measured using high-throughput gene editing-phenotyping technology (MAGE-Seq).
References
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Journal ArticleDOI
Evolution in Mendelian Populations.
TL;DR: Page 108, last line of text, for "P/P″" read "P′/ P″."
Journal ArticleDOI
Evolution in Mendelian populations
TL;DR: The frequency of a given gene in a population may be modified by a number of conditions including recurrent mutation to and from it, migration, selection of various sorts and, far from least in importance, were chance variation.
Book
Wonderful Life: The Burgess Shale and the Nature of History
TL;DR: In this article, the authors explore what the Burgess Shale tells us about evolution and the nature of history and find that it holds the remains of an ancient sea where dozens of strange creatures lived.
Journal ArticleDOI
Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems.
TL;DR: There is a renewed appreciation both for the importance of studying gene interactions and for addressing these questions in a unified, quantitative manner with the advent of high-throughput functional genomics.