Bram van Dijk
Utrecht University
19 Papers
71 Citations
Bram van Dijk is an academic researcher from Utrecht University. The author has contributed to research in topics: Population & Horizontal gene transfer. The author has an hindex of 3, co-authored 13 publications. Previous affiliations of Bram van Dijk include Max Planck Society.
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Papers
Towards evolutionary predictions: Current promises and challenges
Meike T. Wortel,Deepa Agashe,Susan F. Bailey,Claudia Bank,Karen Bisschop,Thomas Blankers,Johannes Cairns,Enrico Sandro Colizzi,Davide Cusseddu,Michael M. Desai,Bram van Dijk,Martijn Egas,Jacintha Ellers,Astrid T. Groot,David G. Heckel,Marcelle Johnson,Ken Kraaijeveld,Joachim Krug,Liedewij Laan,Michael Lässig,Peter Lind,Jeroen Meijer,Luke M. Noble,Samir Okasha,Paul B. Rainey,Daniel E. Rozen,Shraddha Shitut,Sander J. Tans,Olivier Tenaillon,Henrique Teotónio,J. Arjan G. M. de Visser,Marcel E. Visser,Renske M. A. Vroomans,Gijsbert D. A. Werner,Bregje Wertheim,Pleuni S. Pennings +35 more
TL;DR: A review of methods and data in different research fields by showing the breadth of situations in which evolutionary predictions are made can be found in this article , where the authors describe how diverse evolutionary predictions share a common structure described by the predictive scope, time scale and precision.
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Transposable elements promote the evolution of genome streamlining.
TL;DR: Eukaryotes and prokaryotes have distinct genome architectures, with marked differences in genome size, the ratio of coding/non-coding DNA, and the abundance of transposable elements (TEs) as discussed by the authors.
22
Slightly beneficial genes are retained by bacteria evolving DNA uptake despite selfish elements.
TL;DR: Modelling uses modelling to study how HGT of slightly beneficial genes impacts growth rates of bacterial populations, and if bacterial collectives can evolve to take up DNA despite selfish elements.
20
In Silico Gene-Level Evolution Explains Microbial Population Diversity through Differential Gene Mobility
Bram van Dijk,Paulien Hogeweg +1 more
TL;DR: In contrast to ascribing the diversification and evolution of microbial communities to clonal dynamics, it is shown that multilevel evolution can elegantly explain the observed phylogenetic structure and ecosystem diversity.
18
Trusting the hand that feeds: microbes evolve to anticipate a serial transfer protocol as individuals or collectives
TL;DR: All in silico evolved Virtual Microbe “wild types” (WTs) adapt to a serial transfer protocol to investigate generic evolutionary adaptations, and how these adaptations can be manifested by a variety of different mechanisms are studied.