Harnessing genomics for delineating conservation units

By W. Funk, John K. McKay, Paul A Hohenlohe, F. Allendorf. Trends in Ecology & Evolution, 2012

993 citations recorded by the source corpus.

Genomic data have the potential to revolutionize the delineation of conservation units (CUs) by allowing the detection of adaptive genetic variation, which is otherwise difficult for rare, endangered species. In contrast to previous recommendations, we propose that the use of neutral versus adaptive markers should not be viewed as alternatives. Rather, neutral and adaptive markers provide different types of information that should be combined to make optimal management decisions. Genetic patterns at neutral markers reflect the interaction of gene flow and genetic drift that affects genome-wide variation within and among populations. This population genetic structure is what natural selection operates on to cause adaptive divergence. Here, we provide a new framework to integrate data on neutral and adaptive markers to protect biodiversity.

Subfields: Ecological Modeling, Ecology, Genetics

View Paper: https://www.semanticscholar.org/paper/350ae39eba65953b6d67252eb8acb773337c6753

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Citations in the corpus

Conserving potential coral reef refuges at high latitudes (2014, background): “As warming continues, the resultant changes in community structure of subtropical reefs may be more pronounced as subtropical endemics may decline, more tropical species become established and more abundant by dispersing poleward (Riegl & Piller, 2003; Greenstein & Pandolfi, 2008; Funk et al., 2012)”
Are we working towards global research priorities for management and conservation of sea turtles (2016, background): “One of the advantages of these genome-wide data, compared to traditional markers, possibly relies on the chance to identify traces of selection shaping population genetic differentiation (Funk et al. 2012).”
Genetic diversity targets and indicators in the CBD post-2020 Global Biodiversity Framework must be improved (2020, background): “Population genomic analyses or phenotypic/ functional trait variation can be used to delineate populations (Funk et al., 2012).”
Finding the Genomic Basis of Local Adaptation: Pitfalls, Practical Solutions, and Future Directions (2016, positive): “…in agriculture, forestry, and ﬁ sheries and can improve management decisions for threatened species by predicting the performance of a genotype in a new en-* vironment (Funk et al. 2012; Aitken and Whitlock 2013; Li et al. 2014; Yoder et al. 2014; Lasky et al. 2015; Hamilton and Miller 2016).”
Hybridization and the species problem in conservation (2015, background): “6.2 Finer scale approaches A great deal of discussion has been devoted to defin- ing and conserving particular sub-groups within taxonomic species (e.g., Waples 1991; Moritz 1994; Crandall et al., 2000; Frankham et al., 2012; Funk et al., 2012; Allendorf et al., 2013).”
Genetic factors in threatened species recovery plans on three continents (2016, background): “However, in recent decades, theoretical and technological advances have greatly improved and broadened the application of genetics to conservation issues (Allendorf et al. 2010; Funk et al. 2012; Harrisson et al. 2014).”
Genetic Diversity and Conservation Units: Dealing With the Species-Population Continuum in the Age of Genomics (2018, background): “In the same way as population genomics provides far greater precision in the identification of ESUs by utilizing both neutral and adaptive loci it also provides a means for utilizing large numbers of neutral loci to more readily delimit Management Units (MUs) as demographically independent units cha”
Remarkably low genetic diversity and strong population structure in common bottlenose dolphins (Tursiops truncatus) from coastal waters of the Southwestern Atlantic Ocean (2014, background): “…isolated populations with unique genealogical and adaptive legacy—and Management Units (MUs)—demographically distinct populations that should be managed separately to ensure the viability of the larger metapopulation (see Funk et al. 2012 for definitions and a recent perspective on ESUs and MUs).”
Effective monitoring of freshwater fish (2019, background): “, 2018), and help evaluate management units for fisheries or conservation (Funk et al., 2012).”