JOURNAL ARTICLE

Are we there yet? Inter- and intraspecific approaches to evaluating phenotypic optima in a range expanding East African fish, Enteromius apleurogramma (Cyprinidae).

  • Published In: Biological Journal of the Linnean Society, 2023, v. 140, n. 2. P. 296 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hunt, David A G A; Hendry, Andrew P; Chapman, Lauren J 3 of 3

Abstract

This article investigates how the range expansion of the freshwater cyprinid fish Enteromius apleurogramma in Uganda, East Africa, driven by climate warming, is influenced by and influences adaptation to dissolved oxygen (DO) gradients, particularly hypoxia. By comparing gill traits and geometric morphometric proxies of gill size in E. apleurogramma from both historical and newly colonized ranges, and referencing both conspecific parapatric populations and sympatric heterospecific populations of Enteromius neumayeri, the study finds that range-expanding populations exhibit intermediate gill morphologies consistent with partial adaptation to hypoxic conditions. The research demonstrates that opercular area can serve as a reliable proxy for gill size and that both interspecific and intraspecific comparisons provide useful reference points for assessing adaptation targets. These findings highlight rapid phenotypic shifts likely driven by a combination of phenotypic plasticity and early-stage genetic adaptation during range expansion into novel low-oxygen habitats.

Additional Information

  • Source:Biological Journal of the Linnean Society. 2023/10, Vol. 140, Issue 2, p296
  • Document Type:Article
  • Subject Area:Zoology
  • Publication Date:2023
  • ISSN:0024-4066
  • DOI:10.1093/biolinnean/blad059
  • Accession Number:172759107
  • Copyright Statement:Copyright of Biological Journal of the Linnean 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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