title: Characterising functionally important and ecologically meaningful genetic diversity using a candidate gene approach.
abstract: Over the past two decades the fields of molecular ecology and population genetics have been dominated by the use of putatively neutral DNA markers, primarily to resolve spatio-temporal patterns of genetic variation to inform our understanding of population structure, gene flow and pedigree. Recent emphasis in comparative functional genomics, however, has fuelled a resurgence of interest in functionally important genetic variation that underpins phenotypic traits of adaptive or ecological significance. It may prove a major challenge to transfer genomics information from classical model species to examine functional diversity in non-model species in natural populations, but already multiple gene-targeted candidate loci with major effect on phenotype and fitness have been identified. Here we briefly describe some of the research strategies used for isolating and characterising functional genetic diversity at candidate gene-targeted loci, and illustrate the efficacy of some of these approaches using our own studies on red grouse (Lagopus lagopus scoticus). We then review how candidate gene markers have been used to: (1) quantify genetic diversity among populations to identify those depauperate in genetic diversity and requiring specific management action; (2) identify the strength and mode of selection operating on individuals within natural populations; and (3) understand direct mechanistic links between allelic variation at single genes and variance in individual fitness.
authors.affiliation: Institute of Biological and Environmental Sciences, University of Aberdeen, Zoology Building, Tillydrone Avenue, Aberdeen AB24 2TZ, UK. s.piertney@abdn.ac.uk
authors.forename: Stuart B
authors.initials: SB
authors.lastname: Piertney
authors.forename: Lucy M I
authors.initials: LM
authors.lastname: Webster
mesh_terms: D000818:Animals; D004463:Ecology; D046094:Galliformes / Q000235:genetics; D005787:Gene Frequency; D049810:Genetic Speciation; D014644:Genetic Variation; D005828:Genetics, Population; D023281:Genomics / Q000379:methods*