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These 36 specimens were chosen among those with the least missing data, eliminating the most closely related individuals and equilibrating their geographic representation.
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Evolutionary distances were computed using the JTT matrix-based method with all positions containing alignment gaps and missing data eliminated in pair-wise sequence comparisons.
Neighbour joining trees were constructed in MEGA 4 using the maximum composite likelihood method, with all positions containing gaps and missing data eliminated from the dataset.
Because list wise deletion of missing data eliminated many respondents subgroup analysis was not possible.
For nucleotide alignments trees were constructed based on the Maximum Likelihood method (Tamura-Nei model [ 38]) with gaps and missing data eliminated and bootstrapped with 1000 repetitions.
All positions containing gaps and missing data were eliminated.
All positions containing gaps and missing data were eliminated from the dataset (complete deletion option).
All positions containing gaps and missing data were eliminated from the data set.
All positions containing gaps or missing data were eliminated from the dataset (Complete deletion option).
Gaps and missing data were eliminated only from pairwise sequence comparisons (Pairwise deletion option).
All positions containing gaps and missing data were eliminated The analysis involved 327 amino acid sequences.
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