Ai Feedback
Exact(6)
The most commonly proposed model for microsatellite mutation is strand slippage during DNA synthesis (Levinson and Gutman 1987).
We chose the two-phase mutation model (TPM) in this analysis, since it has been described as the most appropriate model for microsatellite loci [ 35, 36].
Mutation models used for analyses were a stepwise mutation model for microsatellite loci and the HKY model for the cytb fragment.
We applied a Brownian motion approximation to the stepwise mutation model for microsatellite data and performed a Bayesian inference search strategy using a constant mutation rate and an exponentially distributed prior.
Small mutations such as these are reminiscent of the stepwise model for microsatellite expansion (Nag, 2003) though the evidence suggests that virtually all CEB1 germline mutations are initiated by recombinogenic events occurring during gametogenesis (Buard et al, 1998, 2000) and not as a result of DNA replication slippage.
We used the stepwise mutation model for microsatellite markers and applied a MCMC approach, where we calculated 10 short chains (500 used trees out of sampled 10,000) and 3 long chains (5,000 used trees out of sampled 100,000).
Similar(54)
The general mutation model for microsatellites, which includes both stepwise and infinite-allele modes of mutation, was used.
The diploid population size was set to 1000, the mutation rate adjusted to get θ values of 1, 4, 12, and 40, and simulations were performed according to the Single Step Mutation model for microsatellites (SSM model, eqn 1).
We chose uniform priors U[300, 30 000] for N S, U[2, 500] for all N Fi and U[1, 5] for D B. Prior information regarding the mutation rate and model for microsatellites was the same as in the previous example.
Thus, field monitoring, the best models for microsatellite mutation, and the presence of private alleles in all populations (rare alleles are the first that disappear after a bottleneck), indicate that if any size reduction has occurred, it was not recently.
Because bottlenecks can create false positive outliers, both fiber and linseed groups were analyzed with BOTTLENECK v.1.2.02 assuming the two-phase mutation model proposed for microsatellite data [ 38].
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com