JOURNAL ARTICLE

Reconciling zoogeography and genetics: Origins of deepwater Cisco Coregonus artedi (sensu lato) in the Great Lakes.

  • Published In: Transactions of the American Fisheries Society, 2024, v. 153, n. 1. P. 23 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Eshenroder, Randy L.; Breckenridge, Andy J.; Jacobson, Peter C. 3 of 3

Abstract

This article focuses on the evolutionary history and survival of deepwater Cisco (Coregonus artedi sensu lato) during the Wisconsin Glaciation, proposing that deepwater Cisco genomes persisted through introgression with shallow-water Cisco around 65,000 years ago (65 ka), with expression of these introgressed genomic fragments occurring after the last ice retreat approximately 15 ka. The authors argue that deepwater Cisco were unlikely to survive glacial advances in their specialized habitats and instead survived via hybridization with shallow-water forms, which were better suited to refugial environments. Phylogeographic and genomic evidence supports multiple refugia in Mississippi River tributaries and secondary contacts facilitating introgression, shaping the current distribution and diversity of Cisco. This hypothesis contrasts with alternatives suggesting either preglacial survival of deepwater Cisco or purely postglacial divergence without introgression, and it has implications for conservation and restoration efforts by highlighting hybridized populations as a natural component of Cisco biology.

Additional Information

  • Source:Transactions of the American Fisheries Society. 2024/01, Vol. 153, Issue 1, p23
  • Document Type:Article
  • Subject Area:Earth and Atmospheric Sciences
  • Publication Date:2024
  • ISSN:0002-8487
  • DOI:10.1002/tafs.10444
  • Accession Number:174713540
  • Copyright Statement:Copyright of Transactions of the American Fisheries Society 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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