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Phylogeny-trait analysis for Asian dataset 1.

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NIAID Data Ecosystem2026-03-07 收录
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https://figshare.com/articles/dataset/_Phylogeny_trait_analysis_for_Asian_dataset_1_/167661
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Table shows estimated geographic structure of RABVs using the Bayesian Tip-Significance testing (BaTS) software tool for Asian dataset 1 based on the estimated tree shown in figure 1a. Countries are assigned to the following states according to their geographic regions. A: Kazakhstan, Mongolia, Russia; B: South Korea; C: China; D: Japan; E: Afghanistan, India, Nepal, Pakistan, Sri Lanka; F: Cambodia, Laos, Myanmar, Thailand, Viet Nam; G: Philippines. Strength of geographical association for these locations across the entire tree is estimated by calculating the association index (AI) and the parsimony score (PS). Low AI and PS values correspond to strong phylogeny-trait associations. The correlation for each specific location is estimated by calculating the associated maximum monophyletic clade size (MC); larger MC values indicate stronger phylogeny-trait associations. The low AI and PS statistics indicate the isolates are mostly clustered according to their geographic origin. The large MC values (compared to the null value) indicate all the defined geographic regions exhibit population subdivision with the exception of region D (Japan) which indicates gene flow from other regions. See Materials and Methods for details.
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2013-01-31
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