Ontogenetic patterns in heritable variation for body size: using random regression models in a wild ungulate population

Body size is an important determinant of fitness in many organisms. While size will typically change over the lifetime of an individual, heritable components of phenotypic variance may also show ontogenetic variation. We estimated genetic (additive and maternal) and environmental covariance structures for a size trait (June weight) measured over the first 5 years of life in a natural population of bighorn sheep Ovis canadensis. We also assessed the utility of random regression models for estimating these structures. Additive genetic variance was found for June weight, with heritability increasing over ontogeny because of declining environmental variance. This pattern, mirrored at the phenotypic level, likely reflects viability selection acting on early size traits. Maternal genetic effects were significant at ages 0 and 1, having important evolutionary implications for early weight, but declined with age being negligible by age 2. Strong positive genetic correlations between age-specific traits suggest that selection on June weight at any age will likely induce positively correlated responses across ontogeny. Random regression modeling yielded similar results to traditional methods. However, by facilitating more efficient data use where phenotypic sampling is incomplete, random regression should allow better estimation of genetic (co)variances for size and growth traits in natural populations.     

Evolutionary rebound from selective harvesting

Size-selective harvesting favours reduced investment in growth and earlier age at reproduction. A recent study by Edeline and colleagues has shown that trait dynamics of Lake Windermere pike reflect the interplay of 50 years of harvest and natural selection. Growth and investment in early reproduction decreased under harvesting, and then recovered when fishing pressures declined. This is the first study to use contrasting temporal patterns of natural and harvest selection pressures to account for observed trait changes.     

Detecting the signature of selection on immune genes in highly structured populations of wild sheep (Ovis dalli)

The confounding effects of population structure complicate efforts to identify regions of the genome under the influence of selection in natural populations. Here we test for evidence of selection in three genes involved in vertebrate immune function - the major histocompatibility complex (MHC), interferon gamma (IFNG) and natural resistance associated macrophage polymorphism (NRAMP) - in highly structured populations of wild thinhorn sheep (Ovis dalli). We examined patterns of variation at microsatellite loci linked to these gene regions and at the DNA sequence level. Simple Watterson's tests indicated balancing selection at all three gene regions. However, evidence for selection was confounded by population structure, as the Watterson's test statistics from linked markers were not outside of the range of values from unlinked and presumably neutral microsatellites. The translated coding sequences of thinhorn IFNG and NRAMP are fixed and identical to those of domestic sheep (Ovis aries). In contrast, the thinhorn MHC DRB locus shows significant evidence of overdominance through both an excess of nonsynonymous substitution and trans-species polymorphism. The failure to detect balancing selection at microsatellite loci linked to the MHC is likely the result of recombination between the markers and expressed gene regions.     

Past bottlenecks and current population fragmentation of endangered huemul deer (<Emphasis Type="Italic">Hippocamelus bisulcus</Emphasis>): implications for preservation of genetic diversity

Small populations in fragmented habitats can lose genetic variation through drift and inbreeding. The huemul (Hippocamelus bisulcus) is an endangered deer endemic to the southern Andes of Chile and Argentina. Huemul numbers have declined by 99% and its distribution by 50% since European settlement. The total population is estimated at less than 2,000 individuals and is highly fragmented. At one isolated population in Chilean Patagonia we sampled 56 individuals between 2005 and 2007 and genotyped them at 14 microsatellite loci. Despite low genetic variability (average 2.071 alleles/locus and average H _O of 0.341), a low inbreeding coefficient (F _IS) of 0.009 suggests nearly random mating. Population genetic bottleneck tests suggest both historical and contemporary reductions in population size. Simulations indicated that the population must be maintained at 75% of the current size of 120 individuals to maintain 90% of its current genetic diversity over the next 100 years. Potential management strategies to maintain genetic variability and limit future inbreeding include the conservation and establishment of habitat corridors to facilitate gene flow and the enlargement of protected areas to increase effective population size.     

A standard set of polymorphic microsatellites for threatened mountain ungulates (Caprini,Artiodactyla)

Nearly 70% of the world's mountain ungulate taxa are endangered. The availability of a standard set of DNA markers for forensic and molecular ecology studies would help to establish conservation programs and detect poaching activities of these endangered taxa. We tested 60 published microsatellite primer pairs from bovids (cattle, sheep and goat) on 49 individuals from 11 taxa including six wild goat‐like species (Capra spp.), three divergent wild sheep (Ovis spp.), and two chamois (Rupicapra spp.) species. Approximately 30 microsatellites amplified a microsatellite‐like PCR product in all three genera, and with the exception of ILST097, nearly all the loci were polymorphic within most of the 11 species.