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The most appropriate locus specific marker competent to divulge the variation among the species and genotypes was determined by principle component analysis (PCA).
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This study was planned to assess the discriminatory power of each mycobacterial interspersed repetitive unit (MIRU -variable nuMIRU -variablepeats (Vnumberocus and evaluatandem most apprepeatse combination of MIRU-VNTR locusfor moleculandevaluatelogical stheies on Sika Deer in China.
In practice a combination of some of rare variant aggregation methods with the CMC method might be the most appropriate for many risk loci.
This study was therefore developed to determine the MIRU-VNTR loci most appropriate to use for typing MTBC organisms isolated from Sika deer in China.
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].
For each of the AHE loci and TM loci, we first calculated the most appropriate models of sequence evolution for each locus using MrAIC [ 47] choosing the model with the best AIC score amongst 24 possible models (GTR, SYM, HKY, K2P, F81, and JC69, with and without I and Γ parameters).
We determined the most appropriate partitioning strategy for each locus using Bayes factors [ 61].
Thus rbcL with its proven ease of amplification with broadly applicable primers across land plants and its proven ability to identify taxa at the level of genus and family make it the most appropriate choice for a two-locus barcode coupled with trnH-psbA.
Of the loci tested, the four highly discriminative loci and eight moderately discriminative loci proved to be most appropriate for first line typing of M. bovis from Sika Deer, with the same resolving ability as all 22 loci (H = 0.897).
For this reason, methods based on topological changes and insensitive to branch lengths seem most appropriate for the purpose of defining loci for later use by a species tree/gene tree reconciliation method.
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