JOURNAL ARTICLE
Lineage diversity in a widely distributed New World passerine bird, the House Wren.
Published In: Ornithology (Oxford University Press), 2023, v. 140, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Klicka, John; Epperly, Kevin; Smith, Brian Tilston; Spellman, Garth M.; Chaves, Jaime A.; Escalante, Patricia; Witt, Christopher C.; Canales-del-Castillo, Ricardo; Zink, Robert M. 3 of 3
Abstract
This article focuses on the evolutionary lineage diversity within the House Wren complex (Troglodytes aedon and allies), the most widely distributed New World passerine bird. Using extensive sampling across its range, the study analyzed mitochondrial DNA (mtDNA) and genome-wide single nucleotide polymorphisms (SNPs) obtained via restriction site-associated DNA sequencing (RADseq) to assess phylogeographic structure and taxonomic relationships. Results revealed deep genetic differentiation with several discordances between mtDNA and nuclear SNP phylogenies, including paraphyly of eastern and western T. aedon in mtDNA but monophyly in RADseq data, likely due to factors such as sex-biased dispersal, incomplete lineage sorting, or selection on mtDNA. The RADseq data support recognition of distinct evolutionary lineages corresponding to eastern and western T. aedon, T. a. brunneicollis, T. a. musculus, and island taxa (e.g., T. a. beani, T. sissonii, T. tanneri), highlighting complex diversification and introgression patterns across North, Central, and South America and the Caribbean.
Additional Information
- Source:Ornithology (Oxford University Press). 2023/07, Vol. 140, Issue 3, p1
- Document Type:Article
- Subject Area:Geography and Cartography
- Publication Date:2023
- ISSN:2732-4613
- DOI:10.1093/ornithology/ukad018
- Accession Number:164987926
- Copyright Statement:Copyright of Ornithology (Oxford University Press) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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