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• W2019395722 abstract "We investigated the utility of indel data for genealogical and population genetic analyses using the Tpi intron of the leaf mining moth Acrocercops transecta (Insecta: Lepidoptera). Genealogical analyses revealed that indel data were less homoplasious than DNA sequence data and that indel data contained a sufficient signal to provide a high resolution tree that was highly congruent with the tree estimated from DNA sequences. Although some conflicts were identified in the distributions of multi-residue indels, such conflicts were especially useful for the unambiguous detection of recombinations. For the first time, we adopted a Bayesian clustering method for indel characters to infer genetic structure of the moth. We concluded that indel characters have the potential to be a powerful tool in the analysis of population genetics and population structure as well as in the detection of gene flow." @default.
• W2019395722 created "2016-06-24" @default.
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• W2019395722 creator A5084209066 @default.
• W2019395722 date "2011-05-01" @default.
• W2019395722 modified "2023-09-24" @default.
• W2019395722 title "The utility of indels in population genetics: The Tpi intron for host race genealogy of Acrocercops transecta (Insecta: Lepidoptera)" @default.
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• W2019395722 doi "https://doi.org/10.1016/j.ympev.2011.03.006" @default.
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