Population genetics provides new insights into biomarker prevalence in dab ( Limanda limanda L.): a key marine biomonitoring species

Tysklind, Niklas, Taylor, Martin I. ORCID: https://orcid.org/0000-0002-3858-0712, Lyons, Brett P., Goodsir, Freya, Mccarthy, Ian D. and Carvalho, Gary R. (2013) Population genetics provides new insights into biomarker prevalence in dab ( Limanda limanda L.): a key marine biomonitoring species. Evolutionary Applications, 6 (6). pp. 891-909. ISSN 1752-4563

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Bioindicators are species for which some quantifiable aspect of its biology, a biomarker, is assumed to be sensitive to ecosystem health. However, there is frequently a lack of information on the underlying genetic and environmental drivers shaping the spatiotemporal variance in prevalence of the biomarkers employed. Here, we explore the relative role of potential variables influencing the spatiotemporal prevalence of biomarkers in dab, Limanda limanda, a species used as a bioindicator of marine contaminants. Firstly, the spatiotemporal genetic structure of dab around UK waters (39 samples across 15 sites for four years: 2005–2008) is evaluated with 16 microsatellites. Two temporally stable groups are identified corresponding to the North and Irish Seas (average between basin inline image = 0.007; inline image = 0.022). Secondly, we examine the association between biomarker prevalence and several variables, including genetic structuring, age and contaminant exposure. Genetic structure had significant interactive effects, together with age and some contaminants, in the prevalence of some of the biomarkers considered, namely hyperpigmentation and liver lesions. The integration of these data sets enhanced our understanding of the relationship between biomarker prevalence, exposure to contaminants and population-specific response, thereby yielding more informative predictive models of response and prospects for environmental remediation.

Item Type: Article
Uncontrolled Keywords: biomonitoring,disease biology,ecotoxicology,fish,microsatellite,population genetics,random forest,temporal genetic stability,sdg 14 - life below water ,/dk/atira/pure/sustainabledevelopmentgoals/life_below_water
Faculty \ School: Faculty of Science > School of Biological Sciences
UEA Research Groups: Faculty of Science > Research Groups > Organisms and the Environment
Depositing User: Pure Connector
Date Deposited: 02 Dec 2013 12:10
Last Modified: 17 May 2023 00:59
URI: https://ueaeprints.uea.ac.uk/id/eprint/45050
DOI: 10.1111/eva.2013.6.issue-6

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