Editorial 2012

A test for within-lake niche differentiation in the nine-spined sticklebacks (Pungitius pungitius)

Specialization for the use of different resources can lead to ecological speciation. Accordingly, there are numerous examples of ecologically specialized pairs of fish "species" in postglacial lakes. Using a polymorphic panel of single nucleotide variants, we tested for genetic footprints of within-lake population stratification in nine-spined sticklebacks (Pungitius pungitius) collected from three habitats (viz. littoral, benthic, and pelagic) within a northern Swedish lake. Analyses of admixture, population structure, and relatedness all supported the conclusion that the fish from this lake form a single interbreeding unit.

The number of markers and samples needed for detecting bottlenecks under realistic scenarios, with and without recovery: a simulation-based study

Detecting bottlenecks is a common task in molecular ecology. While several bottleneck detection method sexist, evaluations of their power have focused only on severe bottlenecks (e.g. to Ne ~10). As a component of a recent review, Peery et al. (2012) analysed the power of two approaches, the M-ratio and heterozygote excess tests, to detect moderate bottlenecks (e.g. to Ne ~100),which is realistic for many conservation situations. In this Comment, we address three important points relevant to but not considered in Peery et al. Under moderate bottleneck scenarios, we test the (i) relative advantage of sampling more markers vs. more individuals, (ii) potential power to detect the bottleneck when utilizing dozens of microsatellites (a realistic possibility for contemporary studies) and (iii) reduction in power when post bottle neck recovery has occurred. For the realistic situations examined,we show that (i) doubling the number of loci shows equal or better power than tripling the number of individuals,(ii) increasing the number of markers (up to 100) results in continued additive gains in power, and (iii)recovery after a moderate amount of time or gradual change in size reduces power, by up to one-half. Our results provide a practical supplement to Peery et al. and encourage the continued use of bottleneck detection methods in the genomic age, but also emphasize that the power under different sampling schemes should be estimated,using simulation modelling, as a routine component of molecular ecology studies.

Characterization of comparative genome-derived simple sequence repeats for acanthopterygian fishes

Simple sequence repeats (SSRs) have become one of the most popular molecular markers for population genetic studies. The application of SSR markers has often been limited to source species because SSR loci are too labile to be maintained in even closely related species. However, a few extremely conserved SSR loci have been reported. Here, we tested for the presence of conserved SSR loci in acanthopterygian fishes, which include over 14 000 species, by comparing the genome sequences of four acanthopterygian fishes. We also examined the comparative genome-derived SSRs (CG-SSRs) for their transferability across acanthopterygian fishes and their applicability to population genetic analysis. Forty-six SSR loci with conserved flanking regions were detected and examined for their transferability among seven nonacanthopterygian and 27 acanthopterygian fishes. The PCR amplification success rate in nonacanthopterygian fishes was low, ranging from 2.2% to 21.7%, except for Lophius litulon (Lophiiformes; 80.4%). Conversely, the rate in most acanthopterygian fishes exceeded 70.0%. Sequencing of these 46 loci revealed the presence of SSRs suitable for scoring while fragment analysis of 20 loci revealed polymorphisms in most of the acanthopterygian fishes. Population genetic analysis of Cottus pollux (Scorpaeniformes) and Sphaeramia orbicularis (Perciformes) using CG-SSRs showed that these populations did not deviate from linkage equilibrium or Hardy-Weinberg equilibrium. Furthermore, almost no loci showed evidence of null alleles, suggesting that CG-SSRs have strong resolving power for population genetic analysis. Our findings will facilitate the use of these markers in species in which markers remain to be identified.

Bayesian parentage analysis with systematic accountability of genotyping error, missing data and false matching

MOTIVATION

The goal of any parentage analysis is to identify as many parent-offspring relationships as possible, while minimizing incorrect assignments. Existing methods can achieve these ends, but they require additional information in the form of demographic data, thousands of markers and/or estimates of genotyping error rates. For many non-model systems, it is simply not practical, cost-effective or logistically feasible to obtain this information. Here, we develop a Bayesian parentage method that only requires the sampled genotypes to account for genotyping error, missing data and false matches.

RESULTS

Extensive testing with microsatellite and SNP datasets reveals that our Bayesian parentage method reliably controls for the number of false assignments, irrespective of the genotyping error rate. When the number of loci is limiting, our approach maximizes the number of correct assignments by accounting for the frequencies of shared alleles. Comparisons with exclusion and likelihood-based methods on an empirical salmon dataset revealed that our Bayesian method had the highest ratio of correct to incorrect assignments.

Triangulating the genetic basis of adaptation to multifarious selection

Understanding how natural populations adapt to their local environments is a major research theme for ecological genomics. This endeavour begins by sleuthing for shared genetic similarities among unrelated natural populations sharing adaptive traits to documented selective pressures. When the selective pressures have low dimensionality, and the genetic response is localized to a few genes of major effect, this detective work is relatively straightforward. However, in the real world, populations face a complex mixture of selective pressures and many adaptive responses are the result of changes in quantitative traits that have a polygenic genetic basis. This complex relationship between environment and adaptation presents a significant challenge. How can we begin to identify drivers of adaptation in natural settings? In this issue of Molecular Ecology, Orsini et al. (2012) take advantage of the biological attributes of the freshwater microcrustacean Daphnia (Fig. 1) to disentangle multidimensional selection's signature on the genome of populations that have repeatedly evolved adaptive responses to isolated selective pressures including predation, parasitism and anthropogenic changes in land use. Orsini et al. (2012) leverage a powerful combination of spatially structured populations in a geographic mosaic of environmental stressors, the historical archive of past genotypes preserved in lake-bottom sediments and selection experiments to identify sets of candidate genomic regions associated with adaptation in response to these three environmental stressors. This study provides a template for future investigation in ecological genomics, combining multiple experimental approaches with the genomic investigation of a well-studied ecological model species.