Genome dynamics during experimental evolution

By Jeffrey E. Barrick, Richard E. Lenski. Nature reviews genetics, 2013

641 citations recorded by the source corpus.

Evolutionary changes in organismal traits may occur either gradually or suddenly. However, until recently, there has been little direct information about how phenotypic changes are related to the rate and the nature of the underlying genotypic changes. Technological advances that facilitate whole-genome and whole-population sequencing, coupled with experiments that 'watch' evolution in action, have brought new precision to and insights into studies of mutation rates and genome evolution. In this Review, we discuss the evolutionary forces and ecological processes that govern genome dynamics in various laboratory systems in the context of relevant population genetic theory, and we relate these findings to evolution in natural populations.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/b05b537ef5c5e5c319aec7bf15b9182374b58a0a

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Citations in the corpus

Constraints Evolve: Context Dependency of Gene Effects Allows Evolution of Pleiotropy (2015, background): “Much insightful experimental evolutionary work on pleiotropy has been performed on various microorganisms and viruses (Barrick & Lenski 2013, Burch & Chao 2000, Turner & Chao 1999, Wiser et al. 2013).”
Inexpensive Multiplexed Library Preparation for Megabase-Sized Genomes (2015, positive): “Sequencing has become an indispensible tool in modern microbiology, dramatically changing the resolution and speed of studies of biodiversity [1], evolution [2-6], and molecular biology [7], and improving pathogen surveillance [8] and clinical diagnostics [9,10].”
The emergence of adaptive laboratory evolution as an efficient tool for biological discovery and industrial biotechnology (2019, background): “industrial biotechnology and can be investigated with ALE, including systems biology, 3 evolutionary modeling, and genome dynamics (Barrick and Lenski, 2013).”
Predicting evolution (2017, background): “This is a common feature of microbial populations 4,27,37–40 , where repeatable changes occur in regulatory or metabolic pathways.”