| Literature DB >> 21397705 |
Issei Ohshima1, Kazunori Yoshizawa.
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.Entities:
Mesh:
Year: 2011 PMID: 21397705 DOI: 10.1016/j.ympev.2011.03.006
Source DB: PubMed Journal: Mol Phylogenet Evol ISSN: 1055-7903 Impact factor: 4.286