scholarly journals Long‐term evolutionary conflict, Sisyphean arms races, and power in Fisher's geometric model

2019 ◽  
Vol 9 (19) ◽  
pp. 11243-11253
Author(s):  
Trey J. Scott ◽  
David C. Queller
Elements ◽  
2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Allyson Tank

Restriction factors are implemented in long-term evolutionary "arms races," in which viral antagonists drive the evolution of host proteins, and vice versa. Consequently, restriction factors are remarkably variable, displaying polymorphism within species and divergence between species as a result of positive selection. This paper investigates diversity in the APOBEC3F (A3F) restriction factors of Old World primates in order to determine whether they display evidence of involvement in an evolutionary "arms race." We speculated that genetic variability in A3F could reflect evolutionary conflict with the VIF proteins of primate lentiviruses, which are known to enhance viral replication by binding and degrading host A3 proteins. A3Fs of several Old World primate species were genotyped, and the sequences revealed both intra-spcies diversity and inter-species divergence. Representative rhesus macaque (<em>macaca mulatta</em>) sequences were cloned and tested for sensitivity to VIFs from various simin immunodeficiency viruses (SIVs). Evolution of A3F in the rhesus lineage is not due to selection by SIVs, but may reflect antagonism by another retrovirus.


2019 ◽  
Vol 116 (19) ◽  
pp. 9463-9468 ◽  
Author(s):  
Katherine S. Geist ◽  
Joan E. Strassmann ◽  
David C. Queller

Evolutionary conflict can drive rapid adaptive evolution, sometimes called an arms race, because each party needs to respond continually to the adaptations of the other. Evidence for such arms races can sometimes be seen in morphology, in behavior, or in the genes underlying sexual interactions of host−pathogen interactions, but is rarely predicted a priori. Kin selection theory predicts that conflicts of interest should usually be reduced but not eliminated among genetic relatives, but there is little evidence as to whether conflict within families can drive rapid adaptation. Here we test multiple predictions about how conflict over the amount of resources an offspring receives from its parent would drive rapid molecular evolution in seed tissues of the flowering plant Arabidopsis. As predicted, there is more adaptive evolution in genes expressed in Arabidopsis seeds than in other specialized organs, more in endosperms and maternal tissues than in embryos, and more in the specific subtissues involved in nutrient transfer. In the absence of credible alternative hypotheses, these results suggest that kin selection and conflict are important in plants, that the conflict includes not just the mother and offspring but also the triploid endosperm, and that, despite the conflict-reducing role of kinship, family members can engage in slow but steady tortoise-like arms races.


2016 ◽  
Vol 113 (8) ◽  
pp. E978-E986 ◽  
Author(s):  
Tanya M. Pennell ◽  
Freek J. H. de Haas ◽  
Edward H. Morrow ◽  
G. Sander van Doorn

Evolutionary conflict between the sexes can induce arms races in which males evolve traits that are detrimental to the fitness of their female partners, and vice versa. This interlocus sexual conflict (IRSC) has been proposed as a cause of perpetual intersexual antagonistic coevolution with wide-ranging evolutionary consequences. However, theory suggests that the scope for perpetual coevolution is limited, if traits involved in IRSC are subject to pleiotropic constraints. Here, we consider a biologically plausible form of pleiotropy that has hitherto been ignored in treatments of IRSC and arrive at drastically different conclusions. Our analysis is based on a quantitative genetic model of sexual conflict, in which genes controlling IRSC traits have side effects in the other sex, due to incompletely sex-limited gene expression. As a result, the genes are exposed to intralocus sexual conflict (IASC), a tug-of-war between opposing male- and female-specific selection pressures. We find that the interaction between the two forms of sexual conflict has contrasting effects on antagonistic coevolution: Pleiotropic constraints stabilize the dynamics of arms races if the mating traits are close to evolutionary equilibrium but can prevent populations from ever reaching such a state. Instead, the sexes are drawn into a continuous cycle of arms races, causing the buildup of IASC, alternated by phases of IASC resolution that trigger the next arms race. These results encourage an integrative perspective on the biology of sexual conflict and generally caution against relying exclusively on equilibrium stability analysis.


Author(s):  
David C. Queller ◽  
Joan E. Strassmann

Evolutionary conflict occurs when two parties can each affect a joint phenotype, but they gain from pushing it in opposite directions. Conflicts occur across many biological levels and domains but share many features. They are a major source of biological maladaptation. They affect biological diversity, often increasing it, at almost every level. Because opponents create selection that can be strong, persistent, and malevolent, conflict often leads to accelerated evolution and arms races. Conflicts might even drive the majority of adaptation, with pathogens leading the way as selective forces. The evolution of conflicts is complex, with outcomes determined partly by the relative evolvability of each party and partly by the kinds of power that each evolves. Power is a central issue in biology. In addition to physical strength and weapons, it includes strength from numbers and complexity; abilities to bind and block; advantageous timing; and abilities to acquire, use, and distort information.


2017 ◽  
Author(s):  
Kyle Harrington ◽  
Jordan Pollack

AbstractThe escalation of complexity is a commonly cited benefit of coevolutionary systems, but computational simulations generally fail to demonstrate this capacity to a satisfactory degree. We draw on a macroevolutionary theory of escalation to develop a set of criteria for coevolutionary systems to exhibit escalation of strategic complexity. By expanding on a previously developed model of the evolution of memory length for cooperative strategies by Kristian Lindgren, we resolve previously observed limitations to the escalation of memory length. We present long-term coevolutionary simulations showing that larger population sizes tend to support greater escalation of complexity than smaller population sizes. Additionally, escalation is sensitive to perturbation during transitions of complexity. In whole, a long-standing counter-argument to the ubiquitous nature of coevolution is resolved, suggesting that the escalation of coevolutionary arms races can be harnessed by computational simulations.


Author(s):  
Jianzhong Yin ◽  
Zengchao Wang ◽  
Junchen Xu ◽  
Zhiyuan Han ◽  
Guoshan Xie

Abstract The coke drum is subjected to a combination of thermal-mechanical loads during operation, so its safety and reliability must be considered in actual production. In each production cycle, the thermal stress generated by temperature fluctuations in the coke drum is the main cause of structural failure. Based on this, a long-term service carbon steel coke drum was used as the research object and a method was proposed to evaluate the universality of the bulged coke drums in this paper. The details are as follows: firstly, the deformed coke drum was processed into a finite element geometric model by internal laser scanning detection. Then, the thermal mechanical coupled finite element analysis was performed on the two regions with large deformation based on the dynamic thermal boundary method. Next, the stresses and strains of the perfect geometry were analyzed and compared. Finally, the stress and strain distribution levels of different bulging patterns are obtained. These results indicate that the maximum stress and the maximum strain of the deformed region were increased by 35% and 77%, respectively, compared with the perfect geometry. Therefore, when evaluating the remaining life of the coke drums, bulges must be taken into account. Furthermore, this method proposed in this paper can provide guidance and reference for the life assessment of coke drums.


2010 ◽  
Vol 102-104 ◽  
pp. 436-440 ◽  
Author(s):  
Chang He Li ◽  
Zan Fang ◽  
Yi Cui ◽  
Y.C. Ding

Additive processes can be defined as layered manufacturing, based on the dispersed/accumulated principle, Layered manufacturing is directly transforming 3D CAD models to real objects, the reverse engineering of mechanism can be applied to layered manufacturing for production complex geometries for long-term consistency, and the analysis demonstrates the application of the reverse engineering fulfills the segments of design, production, inspection, test. The most notable advantage is the combination of digital technology and geometric model rebuilding technology.


2019 ◽  
Vol 25 (1) ◽  
pp. 22-32 ◽  
Author(s):  
Kyle Harrington ◽  
Jordan Pollack

The escalation of complexity is a commonly cited benefit of coevolutionary systems, but computational simulations generally fail to demonstrate this capacity to a satisfactory degree. We draw on a macroevolutionary theory of escalation to develop a set of criteria for coevolutionary systems to exhibit escalation of strategic complexity. By expanding on a previously developed model of the evolution of memory length for cooperative strategies by Kristian Lindgren, we resolve previously observed limitations on the escalation of memory length by extending operators of evolutionary variation. We present long-term coevolutionary simulations showing that larger population sizes tend to support greater escalation of complexity than smaller ones do. Additionally, we investigate the sensitivity of escalation during transitions of complexity. The Lindgren model has often been used to argue that the escalation of competitive coevolution has intrinsic limitations. Our simulations show that coevolutionary arms races can continue to escalate in computational simulations given sufficient population sizes.


Author(s):  
Bruce Walsh ◽  
Michael Lynch

One model for long-term evolution is an adaptive walk, a series of fixations of mutations that moves the trait mean toward some optimal value. The foundation for this idea traces back to Fisher's geometric model, which showed that mutations of large effect are favored when a trait is far from its optimal, while smaller effects are favored as it approaches the optimal value. Under fairly general conditions, this results in a roughly exponential distribution of fixed adaptive effects. An alternative to trait-based walks are walks in fitness space, motivated by considering a series of mutations to improve the fitness of a particular sequence. In such settings, extreme value theory also suggests a roughly exponential distribution, now of fitness (instead of trait) effects, for mutations fixed during the walk. Much of this theory offers at least partial experimental testing, and this chapter describes not only the theory, but also some of the empirical work testing the models.


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