Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species

Evolutionary Applications

Emma F. Young⁴  Mark Belchier⁴  Lorenz Hauser¹  Gavin J. Horsburgh²  Michael P. Meredith⁴  Eugene J. Murphy⁴  Sonia Pascoal³  Jennifer Rock²  Niklas Tysklind³ 

[1] School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA;NERC Biomolecular Analysis Facility, Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK;School of Biological Sciences, Bangor University, Bangor, Gwynedd, UK;British Antarctic Survey, Cambridge, UK

关键词: Champsocephalus gunnari;    connectivity;    Individual‐based Modelling;    Notothenia rossii;    ocean circulation;    planktonic dispersal;    population genetics;    Scotia Sea;   

DOI  :  10.1111/eva.12259

来源: Wiley

【 摘 要 】

Abstract

Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a ‘seascape genetics’ approach, by combining oceanographic modelling and microsatellite analyses, to understand the dominant influences on the population genetic structure of two Antarctic fishes with contrasting life histories, Champsocephalus gunnari and Notothenia rossii. The close accord between the model projections and empirical genetic structure demonstrated that passive dispersal during the planktonic early life stages is the dominant influence on patterns and extent of genetic structuring in both species. The shorter planktonic phase of C. gunnari restricts direct transport of larvae between distant populations, leading to stronger regional differentiation. By contrast, geographic distance did not affect differentiation in N. rossii, whose longer larval period promotes long-distance dispersal. Interannual variability in oceanographic flows strongly influenced the projected genetic structure, suggesting that shifts in circulation patterns due to climate change are likely to impact future genetic connectivity and opportunities for local adaptation, resilience and recovery from perturbations. Further development of realistic climate models is required to fully assess such potential impacts.

【 授权许可】

CC BY   
© 2015 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.

Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.