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First published in Transactions of the American Fisheries Society, v154 i1 (Jan 2025) published by Oxford University Press. DOI: https://doi.org/10.1093/tafafs/vnae002

Document Type

Article

Publication Version

Published Version

Keywords

Bluegil, fisheries induced evolution, population genetics, SNPs, time lag

Journal/Book/Conference Title

Transactions of the American Fisheries Society

Volume

154

Issue

1

First Page

50

Last Page

59

Abstract

Objective: Bluegill Lepomis macrochirus support recreational fisheries throughout much of their geographic distribution. One characteristic of the species is for males to exhibit alternative reproductive tactics to maximize production of progeny. These divergent strategies coupled with size-selective harvest by anglers create the potential for fisheries-induced evolution (FIE). As such, we sought to characterize genetic diversity of five fished and five unfished Bluegill populations to test for the occurrence of FIE. Methods: Fin clips from 100 Bluegill across 10 populations in southeast Kansas were collected to examine genetic diversity and test for the occurrence of FIE associated with long-term selective harvest. Individuals were genotyped using genome-wide single-nucleotide polymorphism data via restriction site-associated DNA sequencing. Population genetic analyses were performed on three data sets: all individuals, females only, and males only. Results: Genomic analyses from 92 Bluegill across the 10 populations demonstrated consistent observed heterozygosity across populations that was less than expected heterozygosity. As such, there was low genetic differentiation among populations, with over 94% of genetic difference explained by individuals within populations and no evidence of selection. Cluster analysis supported these findings of genetic overlap among populations by grouping individuals into one to three distinct genetic populations. Conclusions: We found no evidence of FIE in either fished or unfished Bluegill populations. Rather, there was little genetic variation among the study populations except for one population. Combining controlled experiments with recent advances in describing the Bluegill genome would be useful for identifying the presence or absence of FIE in exploited Bluegill populations.

Department

Department of Biology

Original Publication Date

3-18-2025

Object Description

1 PDF File

DOI of published version

10.1093/tafafs/vnae002

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Copyright

©2025 The Author(s)

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Language

en

File Format

application/pdf

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