Integrating landscape genomics and spatially explicit approaches to detect loci under selection in clinal populations

Uncovering the genetic basis of adaptation hinges on the ability to detect loci under selection. However, population genomics outlier approaches to detect selected loci may be inappropriate for clinal populations or those with unclear population structure because they require that individuals be clustered into populations. An alternate approach, landscape genomics, uses individual-based approaches to detect loci under selection and reveal potential environmental drivers of selection. We tested four landscape genomics methods on a simulated clinal population to determine their effectiveness at identifying a locus under varying selection strengths along an environmental gradient. We found all methods produced very low type I error rates across all selection strengths, but elevated type II error rates under ‘weak’ selection. We then applied these methods to an AFLP genome scan of an alpine plant, Campanula barbata, and identified five highly supported candidate loci associated with precipitation variables. These loci also showed spatial autocorrelation and cline patterns indicative of selection along a precipitation gradient. Our results suggest that landscape genomics in combination with other spatial analyses provides a powerful approach for identifying loci potentially under selection and explaining spatially complex interactions between species and their environment

Global urban environmental change drives adaptation in white clover.

Urbanization transforms environments in ways that alter biological evolution. We examined whether urban environmental change drives parallel evolution by sampling 110,019 white clover plants from 6169 populations in 160 cities globally. Plants were assayed for a Mendelian antiherbivore defense that also affects tolerance to abiotic stressors. Urban-rural gradients were associated with the evolution of clines in defense in 47% of cities throughout the world. Variation in the strength of clines was explained by environmental changes in drought stress and vegetation cover that varied among cities. Sequencing 2074 genomes from 26 cities revealed that the evolution of urban-rural clines was best explained by adaptive evolution, but the degree of parallel adaptation varied among cities. Our results demonstrate that urbanization leads to adaptation at a global scale

Global urban environmental change drives adaptation in white clover

Urbanization transforms environments in ways that alter biological evolution. We examined whether urban environmental change drives parallel evolution by sampling 110,019 white clover plants from 6169 populations in 160 cities globally. Plants were assayed for a Mendelian antiherbivore defense that also affects tolerance to abiotic stressors. Urban-rural gradients were associated with the evolution of clines in defense in 47% of cities throughout the world. Variation in the strength of clines was explained by environmental changes in drought stress and vegetation cover that varied among cities. Sequencing 2074 genomes from 26 cities revealed that the evolution of urban-rural clines was best explained by adaptive evolution, but the degree of parallel adaptation varied among cities. Our results demonstrate that urbanization leads to adaptation at a global scale

Data from: The influence of range-wide plant genetic variation on soil invertebrate communities

Plant genetic variation can have far-reaching effects on associated communities and ecosystems. Heritable variation in ecologically relevant plant traits is often non-randomly distributed across a species’ range and can exhibit geographic clines. In the event of range expansions and migration, previously unfamiliar genotypes may have large impacts on resident communities and ecosystems due to the introduction of novel and heritable phenotypic variation. Here we test the hypothesis that geographic origin of a focal plant genotype has effects on belowground invertebrate communities using a common garden field experiment. We sampled soil invertebrates from 103 Oenothera biennis genotypes, which were collected from across the species’ range and planted into a common garden field experiment at the northern range limit. We enumerated 24,000 individuals from 190 morphospecies and found that the diversity, abundance, and composition of soil invertebrate communities varied greatly among plant genotypes. Despite strong effects of plant genotype, we found few genetic correlations between plant traits and soil invertebrate community variables. However, herbivore damage was strongly related to variation in the soil invertebrate community. Geographic origin of plant genotypes had at most a weak effect on belowground communities. We speculate that predicting the extended effects of population movement on associated communities will require detailed knowledge of the trait variation occurring within focal species across particular environmental gradients