More precisely biased: increasing the number of markers is not a silver bullet in genetic bottleneck testing

Informing conservation strategies with museum genomics: Long-term effects of past anthropogenic persecution on the elusive European wildcat

Like many carnivore species, European wildcats (Felis silvestris) have suffered severe anthropogenic population declines in the past, resulting in a strong population bottleneck at the beginning of the 20th century. In Germany, the species has managed to survive its near extinction in small isolated areas and is currently recolonizing former habitats owing to legal protection and concerted conservation efforts. Here, we SNP-genotyped and mtDNA-sequenced 56 historical and 650 contemporary samples to assess the impact of massive persecution on genetic diversity, population structure, and hybridization dynamics of wildcats. Spatiotemporal analyses suggest that the presumed postglacial differentiation between two genetically distinct metapopulations in Germany is in fact the result of the anthropogenic bottleneck followed by re-expansion from few secluded refugia. We found that, despite the bottleneck, populations experienced no severe genetic erosion, nor suffered from elevated inbreeding or showed signs of increased hybridization with domestic cats. Our findings have significant implications for current wildcat conservation strategies, as the data analyses show that the two presently recognized wildcat population clusters should be treated as a single conservation unit. Although current populations appear under no imminent threat from genetic factors, fostering connectivity through the implementation of forest corridors will facilitate the preservation of genetic diversity and promote long-term viability. The present study documents how museum collections can be used as essential resource for assessing long-term anthropogenic effects on natural populations, for example, regarding population structure and the delineation of appropriate conservation units, potentially informing todays' species conservation.

Pattern of genetic structure of the common stream fish, Neolissochilus soroides (Pisces: Cyprinidae), addresses the importance of protected areas in eastern Thailand

The well-known presence of mahseers, Neolissochilus soroides (Cyprinidae), in forested streams in eastern Thailand has attracted many visitors to protected areas for several decades. Because of its historical high abundance, this species was never considered of conservation concern. In this study, the authors revealed that mahseers are very limited to upstream areas in mountains facing the Gulf of Thailand and are now solely confined to habitats within protected areas. The fish were sampled below seven waterfalls in four national parks. All individuals were analysed using a fragment of the mitochondrial DNA cytochrome b gene and eight nuclear microsatellite DNA loci to uncover spatial genetic patterns. Cytochrome b data showed very low genetic diversity but indicated strong genetic differentiation between the most distant Klong Kaeo (KK) population and the other populations. The more variable microsatellite DNA markers showed moderate level of genetic diversity compared to other mahseers but revealed limited gene flow among all locations (overall F_ST  = 0.25, P < 0.05). In addition, significant correlation was found between genetic and geographic distances (P < 0.05). Genetic bottleneck analyses provided an insight into evolutionary history in N. soroides that may have experienced past reduction in population size. As eastern Thailand is a relatively heavily populated region, habitat modification in lowland areas is inevitable, and it will have consequences for species that prefer fast-flowing and clear water. Protected areas therefore provide valuable sanctuaries for N. soroides in headwater streams.

Origin and expansion of the mosquito Aedes aegypti in Madeira Island (Portugal)

Historically known as the yellow fever mosquito, Aedes aegypti invaded Madeira Island in 2005 and was the vector of the island’s first dengue outbreak in 2012. We have studied genetic variation at 16 microsatellites and two mitochondrial DNA genes in temporal samples of Madeira Island, in order to assess the origin of the invasion and the population structure of this mosquito vector. Our results indicated at least two independent colonization events occurred on the island, both having a South American source population. In both scenarios, Venezuela was the most probable origin of these introductions, a result that is in accordance with the socioeconomic relations between this country and Madeira Island. Once introduced, Ae. aegypti has rapidly expanded along the southern coast of the island and reached a maximum effective population size (N_e) in 2012, coincident with the dengue epidemic. After the outbreak, there was a 10-fold reduction in N_e estimates, possibly reflecting the impact of community-based vector control measures implemented during the outbreak. These findings have implications for mosquito surveillance not only for Madeira Island, but also for other European regions where Aedes mosquitoes are expanding.

Challenges in analysis and interpretation of microsatellite data for population genetic studies

Advancing technologies have facilitated the ever-widening application of genetic markers such as microsatellites into new systems and research questions in biology. In light of the data and experience accumulated from several years of using microsatellites, we present here a literature review that synthesizes the limitations of microsatellites in population genetic studies. With a focus on population structure, we review the widely used fixation (F ST) statistics and Bayesian clustering algorithms and find that the former can be confusing and problematic for microsatellites and that the latter may be confounded by complex population models and lack power in certain cases. Clustering, multivariate analyses, and diversity-based statistics are increasingly being applied to infer population structure, but in some instances these methods lack formalization with microsatellites. Migration-specific methods perform well only under narrow constraints. We also examine the use of microsatellites for inferring effective population size, changes in population size, and deeper demographic history, and find that these methods are untested and/or highly context-dependent. Overall, each method possesses important weaknesses for use with microsatellites, and there are significant constraints on inferences commonly made using microsatellite markers in the areas of population structure, admixture, and effective population size. To ameliorate and better understand these constraints, researchers are encouraged to analyze simulated datasets both prior to and following data collection and analysis, the latter of which is formalized within the approximate Bayesian computation framework. We also examine trends in the literature and show that microsatellites continue to be widely used, especially in non-human subject areas. This review assists with study design and molecular marker selection, facilitates sound interpretation of microsatellite data while fostering respect for their practical limitations, and identifies lessons that could be applied toward emerging markers and high-throughput technologies in population genetics.