title: Evolution of bet-hedging mechanisms in cell cycle and embryo development stimulated by weak linkage of stochastic processes.
abstract: Our current understanding of the origin and evolution of the cell cycle is largely filled with gaps and unresolved questions. Numerous similarities between the processes comprising the cell cycle in distant organisms from the Pro- and Eukaryota kingdoms provide some clues about the course that evolution has taken. Contemporary Prokaryotes and Eukaryotes regulate their cell cycles in a quite similar way, using a master oscillator that regulates cell division. Despite this striking similarity, they use entirely different molecules for this purpose. The necessity to keep the master oscillator intact for the survival of every cell/organism allows evolutionary changes in only the secondary mechanisms and processes of the cell cycle. This is especially clear in oocytes and embryos, which have a direct impact on the reproductive success of an adult organism. Here, we present examples of cues driving such mild evolutionary changes of certain aspects of cell cycle progression in oocytes and early embryos. We suggest that weak linkages between core processes that rely on randomness (stochasticity) have led to the evolution of strategies increasing fitness similar to bet-hedging, a stochastic-based survival strategy of risk minimization widely implemented by populations of bacteria, yeast, arthropods, and birds. Stochastic diversification of phenotypes by isogenic cells increases their fitness in unpredictable environments and improves their survival rate upon exposure to stress, a trait beneficial in evading antibiotic treatment by bacteria or withstanding chemotherapy by cancer cells. The evolution of bet-hedging has been observed experimentally for bacteria and attributed to specific molecular mechanisms involved in this strategy. In this chapter, we set out to answer whether similar strategies could have evolved at the level of oocytes and embryos. We indicate possible evolutionary cues capable of realizing bet-hedging-like mechanisms.
authors.affiliation: Systems Biology Ireland, University College Dublin, Belfield, Dublin 4, Ireland.
authors.forename: Maciej
authors.initials: M
authors.lastname: Dobrzyński
authors.forename: Piotr
authors.initials: P
authors.lastname: Bernatowicz
authors.forename: Malgorzata
authors.initials: M
authors.lastname: Kloc
authors.forename: Jacek Z
authors.initials: JZ
authors.lastname: Kubiak
mesh_terms: D000818:Animals; D005075:Biological Evolution; D002453:Cell Cycle / Q000235:genetics / Q000502:physiology*; D047108:Embryonic Development / Q000235:genetics / Q000502:physiology*; D018507:Gene Expression Regulation, Developmental / Q000502:physiology; D006801:Humans; D012306:Risk; D013269:Stochastic Processes