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Joanna Masel

Publications and source records attributed to Joanna Masel.

9 recordsLinked to original sources

The loss of adaptive plasticity during long periods of environmental stasis.

Adaptive plasticity allows populations to adjust rapidly to environmental change. If this is useful only rarely, plasticity may undergo mutational degradation and be lost from a population. We consider a population of constant size N undergoing loss of plasticity at functional mutation rate m and with selective advantage s associated with loss. Environmental change events occur at rate theta per generation, killing all individuals that lack plasticity. The expected time until loss of plasticity in a fluctuating environment is always at least tau, the expected time until loss of plasticity in a static environment. When mN > 1 and N theta >> 1, we find that plasticity will be maintained for an average of at least 10(8) generations in a single population, provided tau > 18/theta. In a metapopulation, plasticity is retained under the more lenient condition tau > 1.3/theta, irrespective of mN, for a modest number of demes. We calculate both exact and approximate solutions for tau and find that it is linearly dependent only on the logarithm of N, and so, surprisingly, both the population size and the number of demes in the metapopulation make little difference to the retention of plasticity. Instead, tau is dominated by the term 1/(m+s/2).

Adaptation, Biological↗

Mutations leading to loss of sporulation ability in Bacillus subtilis are sufficiently frequent to favor genetic canalization.

We measured the rate of mutations impairing sporulation ability in Bacillus subtilis as 0.003 in a mutator population, following 6000 generations of strong selection for sporulation that have previously been described. This means that the product of the population size and the functional mutation rate is approximately 10(5), well within the parameter range for which genetic canalization of sporulation ability is expected.

Bacillus subtilis↗

The conversion of 3' UTRs into coding regions.

A possible origin of novel coding sequences is the removal of stop codons, leading to the inclusion of 3' untranslated regions (3' UTRs) within genes. We classified changes in the position of stop codons in closely related Saccharomyces species and in a mouse/rat comparison as either additions to or subtractions from coding regions. In both cases, the position of stop codons is highly labile, with more subtractions than additions found. The subtraction bias may be balanced by the input of new coding regions through gene duplication. Saccharomyces shows less stop codon lability than rodents, probably due to greater selective constraint. A higher proportion of 3' UTR incorporation events preserve frame in Saccharomyces. This higher proportion is consistent with the action of the [PSI(+)] prion as an evolutionary capacitor to facilitate 3' UTR incorporation in yeast.

3' Untranslated Regions↗

The population genetics of phenotypic deterioration in experimental populations of Bacillus subtilis.

Although many examples of trait loss exist in nature, the underlying population genetic mechanism responsible for the loss is usually unknown. Selective or neutral processes can result in the deterioration of a trait, and often one of these is inferred based on indirect evidence. Furthermore, selective pressures that are unique to particular environments and the effect these might have on the population genetic cause of trait loss are not well understood. Here we describe an experimental evolution system where two different environments were used for addressing the population genetic cause of trait loss throughout evolutionary time. We found that growth in minimal medium (i.e., prototrophy) was lost in all populations regardless of the experimental environment and that the pattern of trait loss in one environment was due to selection, whereas in the other environment the cause remains inconclusive.

Bacillus subtilis↗

Cryptic genetic variation is enriched for potential adaptations.

Cryptic genetic variation accumulates under weakened selection and has been proposed as a source of evolutionary innovations. Weakened selection may, however, also lead to the accumulation of strongly deleterious or lethal alleles, swamping the effect of any potentially adaptive alleles when they are revealed. Here I model variation that is partially shielded from selection, assuming that unconditionally deleterious variation is more strongly deleterious than variation that is potentially adaptive in a future environment. I find that cryptic genetic variation can be substantially enriched for potential adaptations under a broad range of realistic parameter values, including those applicable to alternative splices and readthrough products generated by the yeast prion [PSI+]. This enrichment is dramatically stronger when multiple simultaneous changes are required to generate a potentially adaptive phenotype. Cryptic genetic variation is likely to be an effective source of useful adaptations at a time of environmental change, relative to an equivalent source of variation that has not spent time in a hidden state.

Adaptation, Physiological↗

Evolutionary capacitance may be favored by natural selection.

Evolutionary capacitors phenotypically reveal a stock of cryptic genetic variation in a reversible fashion. The sudden and reversible revelation of a range of variation is fundamentally different from the gradual introduction of variation by mutation. Here I study the invasion dynamics of modifiers of revelation. A modifier with the optimal rate of revelation mopt has a higher probability of invading any other population than of being counterinvaded. mopt varies with the population size N and the rate theta at which environmental change makes revelation adaptive. For small populations less than a minimum cutoff Nmin, all revelation is selected against. Nmin is typically quite small and increases only weakly, with theta-1/2. For large populations with N>1/theta, mopt is approximately 1/N. Selection for the optimum is highly effective and increases in effectiveness with larger N>>1/theta. For intermediate values of N, mopt is typically a little less than theta and is only weakly favored over less frequent revelation. The model is analogous to a two-locus model for the evolution of a mutator allele. It is a fully stochastic model and so is able to show that selection for revelation can be strong enough to overcome random drift.

Adaptation, Biological↗

Efficient inhibition of prion replication by PrP-Fc(2) suggests that the prion is a PrP(Sc) oligomer.

Soluble dimeric prion protein (PrP-Fc(2)) binds to the disease-associated prion protein PrP(Sc), and inhibits prion replication when expressed in transgenic mice. Prion inhibition is effective even if PrP-Fc(2) is expressed at low levels, suggesting that its affinity for PrP(Sc) is higher than that of monomeric PrP(C). Here, we model prion accumulation as an exponential replication cycle of prion elongation and breakage. The exponential growth rate corresponding to this cycle is reflected in the incubation period of the disease. We use a mathematical model to calculate the exponential growth rate, and fit the model to in vivo data on prion incubation times corresponding to different levels of PrP(C) and PrP-Fc(2). We find an excellent fit of the model to the data. Surprisingly, targeting of PrP(Sc) can be effective at concentrations of PrP-Fc(2) lower than that of PrP(C), even if PrP-Fc(2) and PrP(C) have the same affinity for PrP(Sc). The best fit of our model to data predicts that the replicative prion consists of PrP(Sc) oligomers with a mean size of four to 15 units.

Animals↗

Prion kinetics.

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Algorithms↗

The evolution of the evolvability properties of the yeast prion [PSI+].

Saccharomyces cerevisiae's ability to form the prion [PSI+] may increase the rate of evolvability, defined as the rate of appearance of heritable and potentially adaptive phenotypic variants. The increase in evolvability occurs when the appearance of the prion causes read-through translation and reveals hidden variation in untranslated regions. Eventually the portion of the phenotypic variation that is adaptive loses its dependence on the revealing mechanism. The mechanism is reversible, so the restoration of normal translation termination conceals the revealed deleterious variation, leaving the yeast without a permanent handicap. Given that the ability to form [PSI+] is known to be fixed and conserved in yeast, we construct a mathematical model to calculate whether this ability is more likely to have become fixed due to chance alone or due to its evolvability characteristics. We find that evolvability is a more likely explanation, as long as environmental change makes partial read-through of stop codons adaptive at a frequency of at least once every million years.

Adaptation, Biological↗