title: Systems-biology approaches for predicting genomic evolution.
abstract: Is evolution predictable at the molecular level? The ambitious goal to answer this question requires an understanding of the mutational effects that govern the complex relationship between genotype and phenotype. In practice, it involves integrating systems-biology modelling, microbial laboratory evolution experiments and large-scale mutational analyses - a feat that is made possible by the recent availability of the necessary computational tools and experimental techniques. This Review investigates recent progresses in mapping evolutionary trajectories and discusses the degree to which these predictions are realistic.
authors.affiliation: Synthetic and Systems Biology Unit, Institute of Biochemistry, Biological Research Center, Temesvári krt. 62, H-6726 Szeged, Hungary.
authors.forename: Balázs
authors.initials: B
authors.lastname: Papp
authors.forename: Richard A
authors.initials: RA
authors.lastname: Notebaart
authors.forename: Csaba
authors.initials: C
authors.lastname: Pál
mesh_terms: D000220:Adaptation, Biological / Q000235:genetics; D004843:Epistasis, Genetic; D019143:Evolution, Molecular; D020440:Gene Duplication; D016678:Genome; D005838:Genotype; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D010641:Phenotype; D049490:Systems Biology / Q000379:methods*