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My view (simply my attempt to make head or tail of all this, not a prescription for changes) is that UPI, random segregation and bottlenecks all increase the variance between oocytes, and restrict the variance between mitochondria within the same oocyte (i.e. increase clonality).
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Partial repression could lower the incidence of new mtDNA mutations, enabling selection to operate more effectively (by lowering heteroplasmy, so increasing the variance between mtDNA in oocytes) at certain time points only.
In this setting, increasing the variance in infection between mating groups will necessarily be disadvantageous for the spread of infection, because it is associated with a more homogeneous infection within demes and hence a reduced frequency of incompatible matings.
It is clear that bottlenecks can decrease only the probability of a soft sweep in our model relative to the probability in the constant population-size scenario, as they systematically remove variation from the population by increasing the variance in allele frequencies between generations.
It is noted that the efficiency of the separation (& material identification) is also improved by increasing the variance of horizontal velocity, ΔvT, between the two materials, which directly increases the ΔxT between the materials.
It is expected that the use of double haploid sib test populations increases the accuracy of genomic selection for any candidate population because use of double haploids achieves a more accurate estimation of the SNP effects in the test population by increasing the variance of the genomic relationships between the test and candidate population.
Our simulations also show that linkage increases the variance of the estimator due to correlations between linked sites.
According to simulations, the likelihood tends to increase until the true K is reached, and then levels off (often still slightly increasing) and the variance between runs increases [ 13].
This level describes the variance between-persons.
However, it has been observed that once the real K is reached the likelihood at larger K levels off or continues increasing slightly, and the variance between runs increases [ 23].
The purpose of DA is to increase the similarity between-group relative to the within-group variance.
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Justyna Jupowicz-Kozak
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