Gene regulatory networks evolve through rewiring of individual components-that is, through changes in regulatory connections. However, the mechanistic basis of regulatory rewiring is poorly understood. Using a canonical gene regulatory system, we quantify the properties of transcription factors that determine the evolutionary potential for rewiring of regulatory connections: robustness, tunability and evolvability. In vivo repression measurements of two repressors at mutated operator sites reveal their contrasting evolutionary potential: while robustness and evolvability were positively correlated, both were in trade-off with tunability. Epistatic interactions between adjacent operators alleviated this trade-off. A thermodynamic model explains how the differences in robustness, tunability and evolvability arise from biophysical characteristics of repressor-DNA binding. The model also uncovers that the energy matrix, which describes how mutations affect repressor-DNA binding, encodes crucial information about the evolutionary potential of a repressor. The biophysical determinants of evolutionary potential for regulatory rewiring constitute a mechanistic framework for understanding network evolution.
机构:
Queen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, EnglandQueen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, England
Puthiyaveetil, Sujith
Ibrahim, Iskander M.
论文数: 0引用数: 0
h-index: 0
机构:
Queen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, EnglandQueen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, England
Ibrahim, Iskander M.
Allen, John F.
论文数: 0引用数: 0
h-index: 0
机构:
Queen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, England
UCL, Res Dept Genet Evolut & Environm, London WC1E 6BT, EnglandQueen Mary Univ London, Sch Biol & Chem Sci, London E1 4NS, England
机构:
Chinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
Natl Plant Gene Res Ctr, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
Wang, Li
Wang, Fang-Fang
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
Natl Plant Gene Res Ctr, Beijing 100101, Peoples R China
Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
Wang, Fang-Fang
Qian, Wei
论文数: 0引用数: 0
h-index: 0
机构:
Chinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
Natl Plant Gene Res Ctr, Beijing 100101, Peoples R ChinaChinese Acad Sci, Inst Microbiol, State Key Lab Plant Genom, Beijing 100101, Peoples R China