Quantitative trait loci mapping reveals an oligogenic architecture of a rapidly adapting trait during the European invasion of common ragweed

Biological invasions offer a unique opportunity to investigate evolution over contemporary timescales. Rapid adaptation to local climates during range expansion can be a major determinant of invasion success, yet fundamental questions remain about its genetic basis. This study sought to investigate the genetic basis of climate adaptation in invasive common ragweed (Ambrosia artemisiifolia). Flowering time adaptation is key to this annual species' invasion success, so much so that it has evolved repeated latitudinal clines in size and phenology across its native and introduced ranges despite high gene flow among populations. Here, we produced a high-density linkage map (4493 SNPs) and paired this with phenotypic data from an F2 mapping population (n = 336) to identify one major and two minor quantitative trait loci (QTL) underlying flowering time and height differentiation in this species. Within each QTL interval, several candidate flowering time genes were also identified. Notably, the major flowering time QTL detected in this study was found to overlap with a previously identified haploblock (putative inversion). Multiple genetic maps of this region identified evidence of suppressed recombination in specific genotypes, consistent with inversions. These discoveries support the expectation that a concentrated genetic architecture with fewer, larger, and more tightly linked alleles should underlie rapid local adaptation during invasion, particularly when divergently adapting populations experience high levels of gene flow

Structural Variants and Selective Sweep Foci Contribute to Insecticide Resistance in the Drosophila Genetic Reference Panel

Patterns of nucleotide polymorphism within populations of Drosophila melanogaster suggest that insecticides have been the selective agents driving the strongest recent bouts of positive selection. However, there is a need to explicitly link selective sweeps to the particular insecticide phenotypes that could plausibly account for the drastic selective responses that are observed in these non-target insects. Here, we screen the Drosophila Genetic Reference Panel with two common insecticides; malathion (an organophosphate) and permethrin (a pyrethroid). Genome-wide association studies map survival on malathion to the two of the largest sweeps in the D. melanogaster genome; Ace and Cyp6g1 Malathion survivorship also correlates with lines which have high levels of Cyp12d1, Jheh1 and Jheh2 transcript abundance. Permethrin phenotypes map to the largest cluster of P450 genes in the Drosophila genome, however in contrast to a selective sweep driven by insecticide use, the derived allele seems to be associated with susceptibility. These results underscore previous findings that highlight the importance of structural variation to insecticide phenotypes: Cyp6g1 exhibits copy number variation and transposable element insertions, Cyp12d1 is tandemly duplicated, the Jheh loci are associated with a Bari1 transposable element insertion, and a Cyp6a17 deletion is associated with susceptibility

Uncovering the genomic basis of an extraordinary plant invasion

Invasive species are a key driver of the global biodiversity crisis, but the drivers of invasiveness, including the role of pathogens, remain debated. We investigated the genomic basis of invasiveness in Ambrosia artemisiifolia (common ragweed), introduced to Europe in the late 19th century, by resequencing 655 ragweed genomes, including 308 herbarium specimens collected up to 190 years ago. In invasive European populations, we found selection signatures in defense genes and lower prevalence of disease-inducing plant pathogens. Together with temporal changes in population structure associated with introgression from closely related Ambrosia species, escape from specific microbial enemies likely favored the plant's remarkable success as an invasive species.Peer reviewe

Genomic Tools in Biological Invasions: Current State and Future Frontiers

Human activities are accelerating rates of biological invasions and climate-driven range expansions globally, yet we understand little of how genomic processes facilitate the invasion process. Although most of the literature has focused on underlying phenotypic correlates of invasiveness, advances in genomic technologies are showing a strong link between genomic variation and invasion success. Here, we consider the ability of genomic tools and technologies to (i) inform mechanistic understanding of biological invasions and (ii) solve real-world issues in predicting and managing biological invasions. For both, we examine the current state of the field and discuss how genomics can be leveraged in the future. In addition, we make recommendations pertinent to broader research issues, such as data sovereignty, metadata standards, collaboration, and science communication best practices that will require concerted efforts from the global invasion genomics community

The quantitative genetics of insecticide resistance in Drosophila melanogaster

© 2019 Paul BattlayWhile understanding insecticide resistance in Drosophila melanogaster is informative for controlling pest insects that threaten agricultural yields and vector deadly diseases, it also serves as a powerful model of microevolution which can be interrogated with an exceptionally powerful genetic toolkit. The Drosophila Genetic Reference Panel (DGRP) provides the opportunity to study population-genetic signatures of natural selection in individuals that can be repeatedly measured for a range of phenotypes. In this work, genomic and transcriptomic data from the DGRP are compared with phenotypes from nine insecticidal compounds against the background of genome-wide signals of selection. The two most prominent signatures of selection in the population are attributable to insecticides from a single, widely-used chemical class, the organophosphates. Evidence suggests that insecticide-based selection is limited to these two loci, however the genetic bases of insecticide phenotypes appear to be complex. Insecticide-associated variation includes both structural effects through amino acid substitution and chimeric gene formation, and regulatory effects on transcript abundance by cis- and trans-acting factors. Resistance mechanisms exhibiting pleiotropic effects on insecticides from different chemical classes is found to be rare; one such case is correlated with constitutive, modular regulation of oxidative stress-related transcripts, the genetic basis of which is mapped to multiple trans-acting factors. Comparisons of the results from the DGRP with diverse population genomics data suggests that the outcomes of these analyses are applicable to populations of D. melanogaster worldwide

Genomic and transcriptomic associations identify a new insecticide resistance phenotype for the selective sweep at the Cyp6g1 locus of Drosophila melanogaster

Scans of the Drosophila melanogaster genome have identified organophosphate resistance loci among those with the most pronounced signature of positive selection. In this study, the molecular basis of resistance to the organophosphate insecticide azinphos-methyl was investigated using the Drosophila Genetic Reference Panel, and genome-wide association. Recently released full transcriptome data were used to extend the utility of the Drosophila Genetic Reference Panel resource beyond traditional genome-wide association studies to allow systems genetics analyses of phenotypes. We found that both genomic and transcriptomic associations independently identified Cyp6g1, a gene involved in resistance to DDT and neonicotinoid insecticides, as the top candidate for azinphos-methyl resistance. This was verified by transgenically overexpressing Cyp6g1 using natural regulatory elements from a resistant allele, resulting in a 6.5-fold increase in resistance. We also identified four novel candidate genes associated with azinphos-methyl resistance, all of which are involved in either regulation of fat storage, or nervous system development. In Cyp6g1, we find a demonstrable resistance locus, a verification that transcriptome data can be used to identify variants associated with insecticide resistance, and an overlap between peaks of a genome-wide association study, and a genome-wide selective sweep analysis.Paul Battlay, Joshua M. Schmidt, Alexandre Fournier-Level, and Charles Robi

Cis- and trans-acting variants contribute to survivorship in a naive Drosophila melanogaster population exposed to ryanoid insecticides

Insecticide resistance is a paradigm of microevolution, and insecticides are responsible for the strongest cases of recent selection in the genome of Drosophila melanogaster Here we use a naïve population and a novel insecticide class to examine the ab initio genetic architecture of a potential selective response. Genome-wide association studies (GWAS) of chlorantraniliprole susceptibility reveal variation in a gene of major effect, Stretchin Myosin light chain kinase (Strn-Mlck), which we validate with linkage mapping and transgenic manipulation of gene expression. We propose that allelic variation in Strn-Mlck alters sensitivity to the calcium depletion attributable to chlorantraniliprole's mode of action. GWAS also reveal a network of genes involved in neuromuscular biology. In contrast, phenotype to transcriptome associations identify differences in constitutive levels of multiple transcripts regulated by cnc, the homolog of mammalian Nrf2. This suggests that genetic variation acts in trans to regulate multiple metabolic enzymes in this pathway. The most outstanding association is with the transcription level of Cyp12d1 which is also affected in cis by copy number variation. Transgenic overexpression of Cyp12d1 reduces susceptibility to both chlorantraniliprole and the closely related insecticide cyantraniliprole. This systems genetics study reveals multiple allelic variants segregating at intermediate frequency in a population that is completely naïve to this new insecticide chemistry and it foreshadows a selective response among natural populations to these chemicals

The molecular evolution of cytochrome P450 genes within and between Drosophila species

We map 114 gene gains and 74 gene losses in the P450 gene family across the phylogeny of 12 Drosophila species by examining the congruence of gene trees and species trees. Although the number of P450 genes varies from 74 to 94 in the species examined, we infer that there were at least 77 P450 genes in the ancestral Drosophila genome. One of the most striking observations in the data set is the elevated loss of P450 genes in the Drosophila sechellia lineage. The gain and loss events are not evenly distributed among the P450 genes—with 30 genes showing no gene gains or losses whereas others show as many as 20 copy number changes among the species examined. The P450 gene clades showing the fewest number of gene gain and loss events tend to be those evolving with the most purifying selection acting on the protein sequences, although there are exceptions, such as the rapid rate of amino acid replacement observed in the single copy phantom (Cyp306a1) gene. Within D. melanogaster, we observe gene copy number polymorphism in ten P450 genes including multiple cases of interparalog chimeras. Nonallelic homologous recombination (NAHR) has been associated with deleterious mutations in humans, but here we provide a second possible example of an NAHR event in insect P450s being adaptive. Specifically, we find that a polymorphic Cyp12a4/Cyp12a5 chimera correlates with resistance to an insecticide. Although we observe such interparalog exchange in our within-species data sets, we have little evidence of it between species, raising the possibility that such events may occur more frequently than appreciated but are masked by subsequent sequence change