title: Uncovering the mechanisms of Caenorhabditis elegans ageing from global quantification of the underlying landscape.
abstract: Recent studies on Caenorhabditis elegans reveal that gene manipulations can extend its lifespan several fold. However, how the genes work together to determine longevity is still an open question. Here we construct a gene regulatory network for worm ageing and quantify its underlying potential and flux landscape. We found ageing and rejuvenation states can emerge as basins of attraction at certain gene expression levels. The system state can switch from one attractor to another driven by the intrinsic or external perturbations through genetics or the environment. Furthermore, we simulated gene silencing experiments and found that the silencing of longevity-promoting or lifespan-limiting genes leads to ageing or rejuvenation domination, respectively. This indicates that the difference in depths between ageing and the rejuvenation attractor is highly correlated with worm longevity. We further uncovered some key genes and regulations which have a strong influence on landscape basin stability. A dynamic landscape model is proposed to describe the whole process of ageing: the ageing attractor dominates when senescence progresses. We also uncovered the oscillation dynamics, and a similar behaviour was observed in the long-lived creature Turritopsis dohrnii Our landscape theory provides a global and physical approach to explore the underlying mechanisms of ageing.
authors.affiliation: State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, People's Republic of China.
authors.forename: Lei
authors.identifier: 0000-0001-9296-7750
authors.initials: L
authors.lastname: Zhao
authors.affiliation: State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, People's Republic of China jin.wang.1@stonybrook.edu.|Department of Chemistry and Physics, State University of New York at Stony Brook, Stony Brook, NY 11790, USA.
authors.forename: Jin
authors.initials: J
authors.lastname: Wang
mesh_terms: D000375:Aging / Q000502:physiology*; D000818:Animals; D017173:Caenorhabditis elegans / Q000502:physiology*; D005786:Gene Expression Regulation / Q000502:physiology*
keywords: ageing; gene regulatory network; landscape; rejuvenation