Universität zu Köln

Laessig, Michael, Mustonen, Ville ORCID: 0000-0002-7270-1792 and Walczak, Aleksandra M. (2017). Predicting evolution. Nat. Ecol. Evol., 1 (3). LONDON: NATURE PUBLISHING GROUP. ISSN 2397-334X

Full text not available from this repository.

Abstract

The face of evolutionary biology is changing: from reconstructing and analysing the past to predicting future evolutionary processes. Recent developments include prediction of reproducible patterns in parallel evolution experiments, forecasting the future of individual populations using data from their past, and controlled manipulation of evolutionary dynamics. Here we undertake a synthesis of central concepts for evolutionary predictions, based on examples of microbial and viral systems, cancer cell populations, and immune receptor repertoires. These systems have strikingly similar evolutionary dynamics driven by the competition of clades within a population. These dynamics are the basis for models that predict the evolution of clade frequencies, as well as broad genetic and phenotypic changes. Moreover, there are strong links between prediction and control, which are important for interventions such as vaccine or therapy design. All of these are key elements of what may become a predictive theory of evolution.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Laessig, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED Mustonen, Ville UNSPECIFIED orcid.org/0000-0002-7270-1792 UNSPECIFIED Walczak, Aleksandra M. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-239253
DOI:	10.1038/s41559-017-0077
Journal or Publication Title:	Nat. Ecol. Evol.
Volume:	1
Number:	3
Date:	2017
Publisher:	NATURE PUBLISHING GROUP
Place of Publication:	LONDON
ISSN:	2397-334X
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Physics > Institut für Biologische Physik
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language EMPIRICAL FITNESS LANDSCAPES; FACTOR-BINDING-SITES; ANTIBIOTIC-RESISTANCE; DRUG-RESISTANCE; BENEFICIAL MUTATIONS; POPULATION-GENETICS; CLONAL INTERFERENCE; ADAPTIVE EVOLUTION; GENOME EVOLUTION; T-CELLS Multiple languages Ecology; Evolutionary Biology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/23925