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Gompert, Z.

Publications and source records attributed to Gompert, Z..

23 records · Page 2Linked to original sources

Recent hybrids recapitulate ancient hybrid outcomes

Genomic outcomes of hybridization depend on selection and recombination in hybrids. Whether these processes have similar effects on hybrid genome composition in contemporary hybrid zones versus ancient hybrid lineages is unknown. Here we show that patterns of introgression in a contemporary hybrid zone in Lycaeides butterflies predict patterns of ancestry in geographically adjacent, older hybrid populations. We find a particularly striking lack of ancestry from one of the hybridizing taxa, Lycaeides melissa, on the Z chromosome in both the old and contemporary hybrids. The same pattern of reduced L. melissa ancestry on the Z chromosome is seen in two other ancient hybrid lineages. More generally, we find that patterns of ancestry in old or ancient hybrids are remarkably predictable from contemporary hybrids, which suggests selection and recombination affect hybrid genomes in a similar way across disparate time scales and during distinct stages of speciation and species breakdown.

evolutionary biology↗

Genomic evidence of genetic variation with pleiotropic effects on caterpillar fitness and plant traits in a model legume

Plant-insect interactions are ubiquitous, and have been studied intensely because of their relevance to damage and pollination in agricultural plants, and to the ecology and evolution of biodiversity. Variation within species can affect the outcome of these interactions, such as whether an insect successfully develops on a plant species. Whereas specific genes and chemicals that mediate these interactions have been identified, studies of genome-or metabolome-wide intraspecific variation might be necessary to better explain patterns of host-plant use and adaptation often observed in the wild. Here, we present such a study. Specifically, we assess the consequences of genome-wide genetic variation in the model plant Medicago truncatula for Lycaeides melissa caterpillar growth and survival (i.e., larval performance). Using a rearing experiment and a whole-genome SNP data set (>5 million SNPs), we show that polygenic variation in M. truncatula explains 9-41% of the observed variation in caterpillar growth and survival. We detect genetic correlations among caterpillar performance and other plant traits, such as structural defenses and some anonymous chemical features; these genetic correlations demonstrate that multiple M. truncatula alleles have pleiotropic effects on plant traits and caterpillar growth or survival (or that there is substantial linkage disequilibrium among loci affecting these traits). We further show that a moderate proportion of the genetic effect of M. truncatula alleles on L. melissa performance can be explained by the effect of these alleles on the plant traits we measured, especially leaf toughness. Taken together, our results show that intraspecific genetic variation in M. truncatula has a substantial effect on the successful development of L. melissa caterpillars (i.e., on a plant-insect interaction), and further point toward traits mediating this genetic effect.

evolutionary biology↗

Caterpillars on a phytochemical landscape

Modern metabolomic approaches that generate more comprehensive phytochemical profiles than were previously available are providing new opportunities for understanding plant-animal interactions. Specifically, we can characterize the phytochemical landscape by asking how a larger number of individual compounds affect herbivores and how compounds covary among plants. Here we use the recent colonization of alfalfa (Medicago sativa) by the Melissa blue butterfly (Lycaeides melissa) to quantify plant metabolites and the performance of caterpillars as affected by both individual compounds and suites of covarying phytochemicals. We find that survival, development time and adult weight are all associated with variation in nutrition and toxicity, including biomolecules associated with plant cell function as well as putative anti-herbivore action. The plant-insect interface is complex, with clusters of covarying compounds in many cases encompassing divergent effects on different aspects of caterpillar performance. Individual compounds with the strongest associations are largely specialized metabolites, including alkaloids, phenolic glycosides and saponins. The saponins are represented in our data by more than 25 individual compounds with beneficial and detrimental effects on L. melissa caterpillars, which highlights the value of metabolomic data as opposed to approaches that rely on total concentrations within broad defensive classes.

ecology↗

Dynamics of genomic change during evolutionary rescue in the seed beetle Callosobruchus maculatus

Rapid adaptation can be necessary to prevent extinction when populations are exposed to extremely marginal or stressful environments. Factors that affect the likelihood of evolutionary rescue from extinction have been identified, but much less is known about the evolutionary dynamics and genomic basis of successful evolutionary rescue, particularly in multicellular organisms. We conducted an evolve and resequence experiment to investigate the dynamics and repeatability of evolutionary rescue at the genetic level in the cowpea seed beetle, Callosobruchus maculatus, when it is experimentally shifted to a stressful host plant, lentil (Lens culinaris). Low survival (~ 1%) at the onset of the experiment caused population decline. But adaptive evolution quickly rescued the population with survival rates climbing to 69% by the F5 generation and 90% by the F10 generation. Population genomic data showed that rescue likely was caused by rapid evolutionary change at multiple loci, with many alleles fixing or nearly fixing within five generations of selection on lentil. By comparing estimates of selection across five lentil-adapted C. maculatus populations (two new sublines and three long-established lines), we found that adaptation to lentil involves a mixture of parallel and idiosyncratic evolutionary changes. Parallelism was particularly pronounced in sublines that were formed after the parent line had passed through an initial bottleneck. Overall, our results suggest that evolutionary rescue in this system is driven by very strong selection on a modest number of loci, and these results provide empirical evidence that ecological dynamics during evolutionary rescue cause distinct evolutionary trajectories and genomic signatures relative to adaptation in less stressful environments.\n\nImpact StatementEvolutionary adaptation is an ongoing process in most populations, but when populations occupy particularly stressful or marginal environments, adaptation can be necessary to prevent extinction. Adaptation that reverses demographic decline and allows for population persistence is termed evolutionary rescue. Evolutionary rescue can prevent species loss from climate change or other environmental stresses, but it can also thwart attempts to control or eradicate agricultural pests and pathogens. Many factors affect the likelihood of evolutionary rescue, but little is known about the underlying evolutionary dynamics, particularly molecular evolutionary changes in multicellular organisms. Here we use a powerful combination of experimental evolution and genomics to track the evolutionary dynamics and genomic outcomes of evolutionary rescue. We focus on the seed beetle Callosobruchus maculatus, which is both an agricultural pest and a convenient model system. We specifically examine how this species is able to persist on a novel and very poor crop host, lentil.\n\nWe show that evolution in an experimental seed beetle populations increases survival on lentil from ~1% to >80% in fewer than a dozen generations. This rapid adaptive evolutionary change at the trait (i.e., phenotypic) level was associated with equally rapid evolution at the molecular level, with some gene variants (i.e., alleles) showing frequency shifts of around 30% in a single generation. In contrast to most other experimental evolution studies in multicellular organisms (particularly Drosophila fruit flies), we find that gene variants at multiple loci rapidly fix, that is, reach a frequency of 100%, during adaptation to lentil. Our results suggest that the dynamics and genetics of adaptation to severe conditions could be distinct from adaptation under more benign conditions. By comparing outcomes of adaptation across multiple lines and sublines, we show that repeated rapid adaptation at the trait level does not necessarily involve the same evolutionary changes at the molecular level. This limited parallelism was likely driven by extreme population bottlenecks caused by low survival in the early generations on lentil. Indeed, evolutionary changes in sublines formed after recovery from a common bottleneck were highly parallel. This coupling of demographic (i.e., ecological) and evolutionary changes during evolutionary rescue may therefore limit the predictability of evolution. Because colonization of novel environments may often occur after a bottleneck, our results could be of general significance for understanding patterns of parallel (and non-parallel) evolutionary change in nature.

evolutionary biology↗

The predictability of genomic changes underlying a recent host shift in Melissa blue butterflies

Despite accumulating evidence that evolution can be predictable, studies quantifying the predictability of evolution remain rare. Here, we measured the predictability of genome-wide evolutionary changes associated with a recent host shift in the Melissa blue butterfly (Lycaeides melissa). We asked whether and to what extent genome-wide patterns of evolutionary change in nature could be predicted (1) by comparisons among instances of repeated evolution, and (2) from SNP x performance associations in a lab experiment. We delineated the genetic loci (SNPs) most strongly associated with host use in two L. melissa lineages that colonized alfalfa. Whereas most SNPs were strongly associated with host use in none or one of these lineages, we detected a ~two-fold excess of SNPs associated with host use in both lineages. Similarly, we found that host-associated SNPs in nature could also be partially predicted from SNP x performance (survival and weight) associations in a lab rearing experiment. But the extent of overlap, and thus degree of predictability, was somewhat reduced. Although we were able to predict (to a modest extent) the SNPs most strongly associated with host use in nature (in terms of parallelism and from the experiment), we had little to no ability to predict the direction of evolutionary change during the colonization of alfalfa. Our results show that different aspects of evolution associated with recent adaptation can be more or less predictable, and highlight how stochastic and deterministic processes interact to drive patterns of genome-wide evolutionary change.

evolutionary biology↗