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Pedigree-free quantitative genetic approach provides evidence for heritability of movement tactics in wild roe deer.
- Source :
-
Journal of evolutionary biology [J Evol Biol] 2020 May; Vol. 33 (5), pp. 595-607. Date of Electronic Publication: 2020 Feb 07. - Publication Year :
- 2020
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Abstract
- Assessing the evolutionary potential of animal populations in the wild is crucial to understanding how they may respond to selection mediated by rapid environmental change (e.g. habitat loss and fragmentation). A growing number of studies have investigated the adaptive role of behaviour, but assessments of its genetic basis in a natural setting remain scarce. We combined intensive biologging technology with genome-wide data and a pedigree-free quantitative genetic approach to quantify repeatability, heritability and evolvability for a suite of behaviours related to the risk avoidance-resource acquisition trade-off in a wild roe deer (Capreolus capreolus) population inhabiting a heterogeneous, human-dominated landscape. These traits, linked to the stress response, movement and space-use behaviour, were all moderately to highly repeatable. Furthermore, the repeatable among-individual component of variation in these traits was partly due to additive genetic variance, with heritability estimates ranging from 0.21 ± 0.08 to 0.70 ± 0.11 and evolvability ranging from 1.1% to 4.3%. Changes in the trait mean can therefore occur under hypothetical directional selection over just a few generations. To the best of our knowledge, this is the first empirical demonstration of additive genetic variation in space-use behaviour in a free-ranging population based on genomic relatedness data. We conclude that wild animal populations may have the potential to adjust their spatial behaviour to human-driven environmental modifications through microevolutionary change.<br /> (© 2020 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2020 European Society For Evolutionary Biology.)
Details
- Language :
- English
- ISSN :
- 1420-9101
- Volume :
- 33
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Journal of evolutionary biology
- Publication Type :
- Academic Journal
- Accession number :
- 31985133
- Full Text :
- https://doi.org/10.1111/jeb.13594