JOURNAL ARTICLE

River Drainage Reorganization and Reticulate Evolution in the Two-Lined Salamander (Eurycea bislineata) Species Complex.

  • Published In: Systematic Biology, 2024, v. 73, n. 1. P. 26 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Pierson, Todd W; Kozak, Kenneth H; Glenn, Travis C; Fitzpatrick, Benjamin M 3 of 3

Abstract

This article focuses on the complex reticulate evolutionary history of the two-lined salamander (Eurycea bislineata) species complex in the eastern United States, highlighting how river drainage reorganization has influenced patterns of vicariance, dispersal, secondary contact, and introgression. Using genome-scale triple-enzyme restriction site-associated DNA sequencing (3RAD) data from over 100 individuals across major mitochondrial DNA (mtDNA) lineages, the study reveals discordance among morphological, mitochondrial, and nuclear datasets is best explained by hybridization and gene flow rather than a strictly bifurcating evolutionary tree. The findings emphasize that current taxonomy inadequately reflects species boundaries due to reticulate evolution, and future systematic revisions should incorporate genomic data, phenotypic reassessment, and focus on contact zones and reproductive isolation. Additionally, the study situates these evolutionary patterns within the dynamic and sometimes contentious paleodrainage history of the Appalachian region, underscoring the broader significance of accounting for introgression in phylogeographic and taxonomic research.

Additional Information

  • Source:Systematic Biology. 2024/01, Vol. 73, Issue 1, p26
  • Document Type:Article
  • Subject Area:Zoology
  • Publication Date:2024
  • ISSN:1063-5157
  • DOI:10.1093/sysbio/syad064
  • Accession Number:177485678
  • Copyright Statement:Copyright of Systematic Biology 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.