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While some may acknowledge that decentralized thinking does not play an important role in further understanding evolutionary concepts, we argue that understanding the idea that mutations are stochastic in nature is essential to grasping how evolution works.
Most contemporary molecular geneticists are New Darwinists and hold that gene mutations are stochastic in nature.
In any case, since mutations are stochastic events, mtDNA heteroplasmy tends to increase with age.
Mutations are stochastic, so the rates at which any given DNA site is created or ablated by mutation should be equivalent.
Taken together, these data suggest that mtDNA D-loop mutations are stochastic events that may not significantly influence the biology of HNSCC and supports the hypothesis that mtDNA mutations in cancer represent bystander genotoxic damage as a consequence of tumour development and progression.
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Although the order of gene mutations is stochastic, multiplicity can be used to separate the general progression of these mutations, given sufficient granularity of tumor tissue and genomic measurements.
As drift and mutation are stochastic processes, their effects will, on average, cause populations to diverge genetically, and the generation-to-generation response to directional selection will be contingent on existing genetic variation.
TE-generated mutations are essentially stochastic in nature, and many of them will have negative impact on survival.
Mutations in normal tissue are stochastic, vary widely among cells and are therefore difficult to detect using standard methods because each change is so rare.
Cellular heterogeneity can also result from processes that are stochastic including mutations, unequal partitioning of less abundant proteins (Elowitz et al., 2002), or alterations in gene expression as a result of phase variation (Henderson et al., 1999).
This is analogous to the phenomenon shown in Figure 2 figure supplement 1D, whereby the higher the mutation rate, the less apparent are stochastic effects.
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