Effect of the intensity of stochastic disturbance on temporal diversity patterns—A simulation study in evolutionary time scale

2006 ◽  
Vol 196 (1-2) ◽  
pp. 103-115 ◽  
Author(s):  
Katsuhiko Yoshida
1981 ◽  
Vol 59 ◽  
pp. 465-468
Author(s):  
C. Doom ◽  
J.P. De Grève

AbstractThe remaining core hydrogen burning lifetime after a case B of mass exchange is computed for the mass gaining component in massive close binaries. Effects of stellar wind mass loss and mass loss during Roche Lobe OverFlow (RLOF) are included. Consequences for the evolutionary scenario are discussed.


1995 ◽  
Vol 2 (2) ◽  
pp. 179-197 ◽  
Author(s):  
Henrik Hautop Lund ◽  
Domenico Parisi

Populations of simple artificial organisms modeled as neural networks evolve a preference for one particular food type in an environment that contains more than one food type if the quantity of energy extracted from each food type is allowed to coevolve with the behavioral preference (evolvable fitness formula). If, after the emergence of the food preference, the preferred food gradually disappears from the environment at the evolutionary time scale, the evolved specialist strategy is maintained until the preferred food type has completely disappeared. Then a new specialist strategy suddenly emerges with a preference for another food type present in the environment. The appearance of the new strategy takes very few generations, in fact much fewer than in a population starting from zero (random initial population) in the same environment. This, together with the fact that the population with an evolutionary past is more efficient than the population starting from zero, suggests that the former population is preadapted to the changed environment. An analysis of the activation values of the hidden units indicates that the new food preference can be an “exaptation,” that is, a new adaptation based on a structure that has previously emerged for adaptively neutral reasons.


2008 ◽  
Vol 14 (1) ◽  
pp. 149-156 ◽  
Author(s):  
Carole Knibbe ◽  
Jean-Michel Fayard ◽  
Guillaume Beslon

Systems biology invites us to consider the dynamic interactions between the components of a living cell. Here, by evolving artificial organisms whose genomes encode protein networks, we show that a coupling emerges at the evolutionary time scale between the protein network and the structure of the genome. Gene order is more stable when the protein network is more densely connected, which most likely results from a long-term selection for mutational robustness. Understanding evolving organisms thus requires a systemic approach, taking into account the functional interactions between gene products, but also the global relationships between the genome and the proteome at the evolutionary time scale.


PLoS ONE ◽  
2011 ◽  
Vol 6 (5) ◽  
pp. e19193 ◽  
Author(s):  
Pierre Lefeuvre ◽  
Gordon W. Harkins ◽  
Jean-Michel Lett ◽  
Rob W. Briddon ◽  
Mark W. Chase ◽  
...  

2013 ◽  
Vol 14 ◽  
pp. 265-274 ◽  
Author(s):  
Igor V. Babkin ◽  
Alexander I. Tyumentsev ◽  
Artem Yu. Tikunov ◽  
Alexander M. Kurilshikov ◽  
Elena I. Ryabchikova ◽  
...  

1993 ◽  
Vol 155 ◽  
pp. 367-367
Author(s):  
M. Kato ◽  
I. Hachisu

Using the OPAL opacity, we have calculated the post-AGB evolutions of low mass stars. It is newly found that optically thick wind occurs for Mcore > 0.55M⊙ and the evolutionary time scale is drastically shortened.


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