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The evolution of mutation rate in finite asexual populations.

In this article, we model analytically the evolution of mutation rate in asexual organisms. Three selective forces are present. First, everything else being equal, individuals with higher mutation rate have a larger fitness, thanks to the energy and time saved by not replicating DNA accurately. Second, as a flip side, the genome of these individuals is replicated with errors that may negatively affect fitness. Third, and conversely, replication errors have a potential benefit if beneficial mutations are to be generated. Our model describes the fate of modifiers of mutation rate under the three forces and allows us to predict the long-term evolutionary trajectory of mutation rate. We obtain three major results. First, in asexuals, the needs for both adaptation and genome preservation are not evolutionary forces that can stabilize mutation rate at an intermediate optimum. When adaptation has a significant role, it primarily destabilizes mutation rate and yields the emergence of strong-effect mutators. Second, in contrast to what is usually believed, the appearance of modifiers with large mutation rate is more likely when the fitness cost of each deleterious mutation is weak, because the cost of replication errors is then paid after a delay. Third, in small populations, and even if adaptations are needed, mutation rate is always blocked at the minimum attainable level, because the rate of adaptation is too slow to play a significant role. Only populations whose size is above a critical mass see their mutation rate affected by the need for adaptation.

Adaptation, Physiological↗

Deterministic and stochastic regimes of asexual evolution on rugged fitness landscapes.

We study the adaptation dynamics of an initially maladapted asexual population with genotypes represented by binary sequences of length L. The population evolves in a maximally rugged fitness landscape with a large number of local optima. We find that whether the evolutionary trajectory is deterministic or stochastic depends on the effective mutational distance d(eff) up to which the population can spread in genotype space. For d(eff) = L, the deterministic quasi-species theory operates while for d(eff) < 1, the evolution is completely stochastic. Between these two limiting cases, the dynamics are described by a local quasi-species theory below a crossover time T(x) while above T(x) the population gets trapped at a local fitness peak and manages to find a better peak via either stochastic tunneling or double mutations. In the stochastic regime d(eff) < 1, we identify two subregimes associated with clonal interference and uphill adaptive walks, respectively. We argue that our findings are relevant to the interpretation of evolution experiments with microbial populations.

Adaptation, Biological↗

The effect of selection in retrospect on lifetime production efficiency in sheep.

Within 32 crossbred group-management system-birth year subgroups, "selection in retrospect" was practiced based upon several ewe lamb traits, singly or in combination, to assess what the effect of such selection would have been on ewe lifetime production efficiency. Ewes were from two birth years, eight crossbred groups and two management systems. Ewe's type of birth, date of birth, actual and adjusted weaning weight (WWt and AWWt), postweaning weight (PWWt) and first yr gross income (FGROS) were the ewe lamb traits involved in the single trait paper selection schemes. Only the ewe lamb weights (WWt, AWWt and PWWt) caused a significant increase in the production efficiency of selected populations over those of the corresponding unselected populations. When postweaning weight was used jointly with the ewe's type of birth in an independent culling level selection scheme, both the group composed of heavier multiple-born ewes and the group composed primarily of single-born ewes were more productive than the group composed of lighter weight multiple-born ewes. Backward selection of the elite ewes having the best production efficiency also showed that the heavier the ewe lamb, the more efficient she was expected to be. Examination of ewes surviving the entire duration of the experiment failed to identify any early life trait that predicted longevity. Furthermore, surviving ewes were equally variable in their early life traits to the populations at large. Longevity, however, was positively related to lifetime efficiency.

Animal Husbandry↗