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Exact(6)

In conclusion we have shown that there is a very wide variation in mtDNA mutation load with a number of different techniques.

That being said, an increased mutation load with age in the male germ line is unlikely to explain the PAC effect on the offspring's LTL.

Indeed, sex differences in the impact of mutation have been shown to potentially shape the deleterious mutation load, with important consequences.

The extreme variation in mutation load suggests either an mtDNA genetic bottleneck during embryogenesis during the formation of satellite cells, or random drift of mutation load with time.

Importantly, single-fiber analysis in all patients, with the exception of patients 1 and 6 for whom orientated muscle blocks were not available, demonstrated a statistically significant segregation of mutation load with biochemical deficiency (Fig. 3).

PGD for mtDNA mutations can only be offered reliably when certain criteria are fulfilled: a close correlation between the mutation load and disease severity is a first requirement; second, there should be no change in mutation load with time; and third, mutant mtDNA should be uniformly distributed over all blastomeres of the cleavage-stage embryo [ 17].

Similar(54)

This difference in the rate of antigenic evolution likely stems more from the stark ecological differences between the two hosts, rather than from differences in their deleterious mutation loads, with escape from humoral immunity being a less important evolutionary driver of HA in short-lived hosts than in humans.

An important caveat to this is that if the mutation load increases with mutation rate, with an associated increase in genetic drift during bottleneck transmission, a mutator strategy would carry a profound cost, both for individual populations and descendant lineages in separate hosts [ 48].

This is because the deleterious mutation load associated with a mutator quickly reaches a mutation recombination equilibrium rather than building up to the much larger mutation selection equilibrium.

By comparing female preference functions based on male age (Fig. 1A, B) with how relative male gamete mutation load changes with male age (Fig. 1C, D), it becomes clear that females generally prefer males with the lowest relative gamete mutation load and avoid males with the highest relative gamete mutation load.

When mutation probability was a linear function of male age, female preference functions did not differ between simulations with a constant mutation rate and those with a low mutation rate (Fig. 1A), because gamete mutation load changed with male age similarly in both cases (Fig. 1C).

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