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Martin, M. D.

Publications and source records attributed to Martin, M. D..

At least 19 recordsLinked to original sources

Historical genomes reveal scale-dependent predictability of climate adaptation

Predicting evolution remains a central challenge in biology. Contemporary spatial patterns are increasingly used as space-for-time proxies to forecast evolutionary responses to environmental change, yet the reliability of such predictions--and whether it varies among biological scales--remains unclear. Using historical and contemporary genomes of the invasive weed Ambrosia artemisiifolia--spanning the species' native range, invasions on two continents and nearly two centuries--we show that genomically predicted flowering-time clines remained stable in the native range while introduced populations re-evolved them. Haploblocks--likely structural variants--were likewise temporally stable in the native range, and two showed striking parallel evolution across all three ranges. Climate-associated SNPs with the strongest contemporary clines showed the greatest temporal change, with limited and variable parallelism among introduced ranges. Together, these results suggest adaptive evolution is partly predictable even when individual genomic trajectories remain flexible and contingent, with predictability emerging most clearly at the level of polygenic traits and large structural variants.

evolutionary biology↗

Museum specimens reveal evolutionary drivers and functions of oral microbiome in mammals

The microbiomes of wild animals, despite being integral to host survival, remain largely unexplored, particularly beyond the gut. Here, using > 450 museum-preserved dental calculus samples from 34 ecologically and phylogenetically diverse mammalian species, most of them previously unstudied, we determine the main drivers of oral microbiome evolution. We show that, similar to the gut, the oral microbiome is shaped by host ecology, particularly diet, and to a lesser extent host phylogenetic relationships. It may contribute to host adaptation, by synthesising essential micronutrients and degrading potentially harmful compounds. We also find that some oral microorganisms consistently associated with mammals throughout over evolutionary time scales and provide evidence for a likely oral origin of some rumen taxa. Together our findings demonstrate the importance of this mostly overlooked microbial community for mammalian biology.

evolutionary biology↗

Range-wide phylogeography, population genomics, and demography of three widespread Ara macaws (Psittacidae)

Macaws of the genus Ara comprise eight extant species distributed throughout the Neotropics. Among them, four have broad geographic ranges, yet little is known about the evolutionary history and demographic processes that shaped their genomic variation and present-day distributions. This is particularly relevant because, although these wide-ranging macaws are classified as Least Concern by the IUCN, many of their populations are declining due to habitat fragmentation, illegal trade, and climate change. Here, we used nuclear and mitochondrial genomic data to characterize the evolutionary relationships, population structure, genetic diversity, and demographic histories of three widely distributed species (A. ararauna, A. chloropterus, and A. severus) across their geographic distributions. We identified two main populations within Ara severus, and this species showed the highest heterozygosity levels among the three species. In A. ararauna and A. chloropterus, we observed four main genetic clusters corresponding to two populations in the Amazon rainforest biome and and two populations in the Cerrado savanna biome. Cerrado populations in both species exhibited markedly reduced heterozygosity and elevated inbreeding relative to Amazonian populations, consistent with smaller effective population sizes and increased isolation. Genome-wide scans suggested that genetic drift and divergent demographic histories played a predominant role in driving the strong differentiation between Amazon and Cerrado in these two species. Nevertheless, we detected two candidate genes, NALCN and RBBP6, with convergent selection signals across A. ararauna and A. chloropterus, suggesting possible local adaptation to the Cerrado biome.

evolutionary biology↗

Selection shapes the evolution of genome size in a globally invasive plant

O_LIBiological invasions provide powerful natural experiments for understanding how genome architecture responds to novel climatic environments. Transposable elements (TEs) can rapidly restructure genomes, yet their role in adaptive genome size evolution during invasion remains poorly understood. C_LIO_LIHere, we examined genome size and TE abundance in 439 individuals of globally invasive common ragweed (Ambrosia artemisiifolia L.) across native (North American) and invasive (European, Australian) ranges. By integrating whole-genome resequencing, flow cytometry, and trait versus genetic differentiation comparison (QST-FST), we tested whether genome size evolution is shaped by selection, climate, and life-history traits. C_LIO_LIGenome size was significantly larger in Australian genotypes, driven by increased TE and rRNA (ribosomal RNA) abundance. Crucially, trait versus genetic differentiation comparison provided evidence of divergent selection on genome size in North American and European populations, but not in Australia. Genome size was correlated with mean annual temperature (MAT) across all ranges, linking genomic traits to environmental variables. C_LIO_LIGenome size evolution during invasion can be rapid, adaptive, and range-specific, with TE-driven genome expansion emerging as a potential genomic response to the demographic and environmental pressures accompanying colonization of novel environments. C_LI

evolutionary biology↗

Phylogenomics and biogeography of the parrot genus Pyrrhura with implications for systematics and conservation

The genus Pyrrhura (Psittacidae: Arini) is one of the most diverse groups of Neotropical parrots. Its species are charismatic, widely kept as pets, and frequently bred outside their native ranges. Yet, nearly half are currently listed as threatened by the IUCN within their natural distributions. Conservation assessments and population estimates often depend on the validity of accepted taxonomic boundaries. However, despite previous systematic efforts, the evolutionary relationships among and within many Pyrrhura species remain poorly resolved, largely due to a recent and rapid radiation. Here, we generated whole-genome sequences for all currently recognized Pyrrhura species, including multiple intraspecific taxa, to reconstruct a robust nuclear phylogeny under the multi-species coalescent model, alongside the most comprehensive mitogenome-based phylogeny of the genus to date. Although both phylogenies supported the monophyly of most currently accepted species, we identified several instances of mito-nuclear discordance, particularly involving the placement of early-diverging lineages, which are best explained by incomplete lineage sorting and historical gene flow. Additionally, we detected three distinct captive lineages that do not cluster with any known wild populations, suggesting substantial overlooked genetic diversity in the worlds captive populations. Ancestral range reconstructions indicate multiple and relatively recent colonization events into the northern and central Andes, likely associated with the uplift of the Andes and the emergence of new ecological niches. Together, our results reveal a complex evolutionary history in Pyrrhura, shaped by rapid radiations, incomplete lineage sorting, and gene flow. We show that integrating nuclear and mitochondrial data with broad geographic and taxonomic sampling, including captive individuals, can uncover overlooked genetic diversity and help to resolve long-standing systematic uncertainties. Finally, we show that several topological discrepancies among previous studies can be attributed to differences in sampling strategies, particularly within the most polytypic Pyrrhura species.

evolutionary biology↗

Pleistocene reindeer dental calculus as a source for ancient oral and digestive flora

Dental calculus offers an extraordinary window into the past, preserving a rich archive of genetic material that can unlock new insights into ancient ecosystems. By capturing traces of oral microbiomes, dietary components, and even gut microbes regurgitated by ruminants, dental calculus provides an extraordinary window into the past to reconstruct ecological interactions and past environmental conditions. Here, we harness the power of ancient metagenomics to explore the oral microbiome, digestive microbiomes and diet of Pleistocene reindeer (Rangifer tarandus) from archaeological sites in France, a region that once served as a glacial refugium before reindeer disappeared from the area. We used shotgun metagenomic sequencing to assemble microbial genomes (MAGs) and classify microbial and dietary reads from dental calculus of 19 ancient reindeer (ca. 12,000 - 23,000 years BP) and 27 modern and historical (1861 - 1958 CE) Scandinavian reindeer. Notably, six bacterial taxa associated with the rumen microbiome were consistently detected across both ancient and modern samples, offering a rare glimpse into the continuity of digestive adaptations over thousands of years. Our recovery of oral microbial and putative dietary plant DNA suggest adaptive capability. Our results suggest a spatio-temporal turnover in oral microbiome and putative dietary plant DNA, which might be explained by ecological differences between Pleistocene France and contemporary Scandinavia. As soft tissue preservation is rare in ancient remains, dental calculus emerges as an exciting and powerful tool for reconstructing the environmental and ecological histories of both past and extinct populations.

evolutionary biology↗

Haplotype-resolved chromosome-level genome assemblies of four Diamesa species reveal the genetic basis of cold tolerance and high-altitude adaptations in arctic chironomids

Arctic and alpine insects face extreme environmental stressors, yet the genomic basis of their adaptation remains poorly understood. Here, we present the first haplotype-resolved, chromosome-level genomes for four species of Diamesa (Diptera: Chironomidae), a genus of cold-adapted midges inhabiting glacial and high-altitude freshwater ecosystems. Using PacBio HiFi sequencing and Hi-C scaffolding, we assembled high-quality genomes with chromosome-level resolution and high k-mer completeness. Phylogenomic analyses support Diamesinae as sister to other Chironomidae except Podonominae, and genomic comparisons provide evidence for introgression between the evolutionary distinct D. hyperborea and D. tonsa. Comparative genomic analyses across 20 Diptera species revealed significant gene family contractions in Diamesa associated with oxygen transport and metabolism, suggesting adaptations to high-altitude, low-oxygen environments. Conversely, expansions were detected in histone-related and Toll-like receptor gene families, likely enhancing chromatin remodeling and immune regulation under cold stress. A single gene family encoding glucose dehydrogenase was significantly expanded across all cold-adapted species studied, implicating its role in cryoprotectant synthesis and oxidative stress mitigation. Notably, Diamesa species exhibit the largest gene family contraction at any node, with minimal overlap in expansions with other cold-adapted Diptera, indicating lineage-specific adaptation. Our findings support the hypothesis that genome size condensation and selective gene family changes underpin survival in cold environments. These genome assemblies represent a valuable resource for investigating adaptation, speciation, and conservation in cold-specialist insects. Future work integrating gene expression and population genomics will further illuminate the evolutionary resilience of Diamesa in a warming world.

genomics↗

Sedimentary ancient DNA metagenomic analysis provides new insights into farming in central Norway from the Bronze Age to late Medieval period

Sedimentary ancient DNA (sedaDNA) has been proposed as a key methodology for reconstructing paleoclimates and biodiversity over time. To a lesser extent, it has been explored as a complementary tool for reconstructing human-driven local environmental changes over time, such as those explored in open air archaeological sites. Our study employs a sedaDNA metagenomic approach to investigate land use and environmental change at the archaeological site of Torg[a]rdsletta in central Norway, spanning from the Bronze Age through the Medieval period. Stratigraphic sediment samples reveal temporal shifts in plant, animal and microbial communities, reflecting evolving human practices and climatic conditions. Progression through the layers indicate signs or land clearance, cultivation and animal husbandry in the region. Notably, a significant reduction in microbial and plant diversity during periods of climatic upheaval--such as the AD 536-540 volcanic event--correlates with landscape and societal adjustments. The findings demonstrate that sedaDNA complements traditional proxies, providing high-resolution insights into past land use, environmental interactions, and societal organization. The successful extraction of ancient genetic material underscores sedaDNAs potential to reconstruct dynamic prehistoric landscapes and anthropogenic impacts, offering further potential for understanding long-term human-environment relationships in Scandinavia.

genomics↗

Rapid parallel adaptation in distinct invasions of Ambrosia artemisiifolia is driven by large-effect structural variants

When introduced to multiple distinct ranges, invasive species provide a compelling natural experiment for understanding the repeatability of adaptation. Ambrosia artemisiifolia is an invasive, noxious weed and chief cause of hay fever. Leveraging over 400 whole-genome sequences spanning the native range in North America and two invasions in Europe and Australia, we inferred demographically distinct invasion histories on each continent. Despite substantial differences in genetic source and effective population size changes during introduction, scans of both local climate adaptation and divergence from the native range revealed genomic signatures of parallel adaptation between invasions. Disproportionately represented among these parallel signatures are 37 large haploblocks - indicators of structural variation - that cover almost 20% of the genome and exist as standing genetic variation in the native range. Many of these haploblocks are associated with traits important for adaptation to local climate, like size and the timing of flowering, and have rapidly reformed native range clines in invasive ranges. Others show extreme frequency divergence between ranges, consistent with a response to divergent selection on different continents. Our results demonstrate the key role of large-effect standing variants in rapid adaptation during range expansion, a pattern that is robust to diverse invasion histories.

genomics↗

Rapid loss of genetic variation and increased inbreeding in small and isolated populations of Norwegian wild reindeer

Wildlife responses to habitat loss and fragmentation are a central concern in the management and conservation of biodiversity. Small and isolated populations are vulnerable, both due to demographic and genetic mechanisms, which are often linked. Thus, understanding how (changes in) genetic diversity, effective population sizes, and levels of inbreeding relate to population size and degree of isolation is key for developing effective conservation strategies. High-density Single Nucleotide Polymorphism (SNP) arrays represent an increasingly cost-efficient tool to achieve the data needed for such analysis. Here, we present the development of a novel 625k SNP array for reindeer Rangifer tarandus and apply this array to assess conservation genetic issues across thirteen Norwegian wild reindeer populations of varying size, isolation, and genetic origin (i.e., semi-domesticated reindeer origin or a mix of wild reindeer and semi-domesticated reindeer origins). Many of these populations are currently completely isolated, with no gene flow from other populations. We genotyped n = 510 individuals sampled by hunters and found that variation in population size across the populations largely predicted their (recent loss of) genetic variation (observed heterozygosity, Ho), as well as effective population size (Ne) and (change in) level of recent inbreeding. For the smallest and most isolated populations, with total population sizes of <50-100 individuals and a high and increasing level of recent inbreeding, estimated loss of genetic variation was as high as 3-10% over the time span of a generation or less, and estimated Ne was as low as six individuals. With the current level of isolation and associated lack of gene flow, and considering their already low genetic diversity, these populations are hardly viable - neither demographically nor genetically - in the long term. These results have direct relevance for the management of Norwegian wild reindeer, recently red-listed as Near Threatened. Yet, these genetic challenges, characterizing many of the small wild reindeer populations in Norway, have been largely ignored by management thus far. Mitigation efforts such as reducing barriers would introduce substantial conservation dilemma due to the aim of avoiding further spread of chronic wasting disease (CWD), as well as potential further domestic introgression into populations with genetically wild reindeer (or mixed) origin. Nevertheless, our cost-efficient and high-density SNP array especially designed for reindeer and caribou offers a powerful genetic tool to include in future monitoring, providing important contributions to management and conservation decisions.

genetics↗

Copy number variation contributes to parallel local adaptation in an invasive plant

Adaptation is a critical determinant of the diversification, persistence, and geographic range limits of species. Yet the genetic basis of adaptation is often unknown and potentially underpinned by a wide range of mutational types - from single nucleotide changes to large-scale alterations of chromosome structure. Copy number variation (CNV) is thought to be an important source of adaptive genetic variation, as indicated by decades of candidate gene studies that point to CNVs underlying rapid adaptation to strong selective pressures. Nevertheless, population- genomic studies of CNVs face unique logistical challenges not encountered by other forms of genetic variation. Consequently, few studies have systematically investigated the contributions of CNVs to adaptation at a genome-wide scale. We present a genome-wide analysis of CNV contributing to the adaptation of an invasive weed, Ambrosia artemisiifolia - the first such study in an invasive pest. CNVs show clear signatures of parallel local adaptation between North American (native) and European (invaded) ranges, implying widespread reuse of CNVs during adaptation to shared heterogeneous patterns of selection. We used a local principal component analysis to genotype CNV regions in whole-genome sequences of samples collected over the last two centuries. We identified 16 large CNV regions of up to 11.85 megabases in length, six of which show signals of rapid evolutionary change, with pronounced frequency shifts between historic and modern populations. Our results provide compelling genome-wide evidence that copy number variation underlies rapid adaptation over contemporary timescales of natural populations. Significance StatementUsing a population-genomic approach, we identified copy number variants - stretches of DNA that can be either present, absent, or in multiple copies - displaying parallel signatures of local adaptation across the native and introduced ranges of the invasive weed Ambrosia artemisiifolia. We further identified 16 large copy number variants, some associated with ecologically important traits including sex allocation and height, that show strong signatures of selection over space, along with dramatic temporal changes over the past several decades. These results highlight the importance of an often-overlooked form of genomic variation in both local adaptation and rapid adaptation of invasive species.

evolutionary biology↗

Multiple, single trait GWAS and supervised machine learning reveal the genetic architecture of Fraxinus excelsior tolerance to ash dieback in Europe

Common ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungus Hymenoscyphus fraxineus, causing ash dieback at epidemic levels throughout Europe. Previous studies have found significant genetic variation among clones in ash dieback susceptibility and that host phenology, such as autumn yellowing, is correlated with susceptibility of ash trees to H. fraxineus; however, the genomic basis of ash dieback tolerance in F. excelsior remains poorly understood. Here, we integrate quantitative genetics and genome-wide association analyses with machine learning to reveal the genetic architecture of ash dieback tolerance and its relationship to phenological traits in F. excelsior populations in six European countries (Austria, Denmark, Germany, Ireland, Lithuania, Sweden). We use whole-genome sequencing of 486 F. excelsior genotypes to confirm the genotypic correlation between crown damage caused by ash dieback and intensity of autumn leaf yellowing within multiple sampling sites. Although, our results suggest that the examined traits are polygenic, a relatively small number of single nucleotide polymorphisms (SNPs) explained a large proportion of the variation in both disease tolerance and autumn leaf yellowing. We could explain up to 63% (based on 9155 unlinked SNPs) of variation in individual response to ash dieback crown damage and up to 72% (based on 3740 unlinked SNPs) of variation in autumn yellowing. We identified eight SNPs encoding non-synonymous substitutions, of which those with the highest predictive power were located within genes related to plant defence (pattern triggered immunity, pathogen detection) and phenology (regulation of flowering and seed maturation, auxin transport). Overall, our results provide insights of a multifaceted defence response, according to which a combination of direct defence mechanisms and phenological avoidance of pathogen spread constitute tolerance to ash dieback.

plant biology↗

A paleogenomic investigation of overharvest implications in an endemic wild reindeer subspecies

Overharvest can severely reduce the abundance and distribution of a species and thereby impact its genetic diversity and threaten its future viability. Overharvest remains an ongoing issue for Arctic mammals, which due to climate change now also confront one of the fastest changing environments on Earth. The high-Arctic Svalbard reindeer (Rangifer tarandus platyrhynchus), endemic to Svalbard, experienced a harvest-induced demographic bottleneck that occurred during the 17-20th century. Here we investigate changes in genetic diversity, population structure and gene-specific differentiation during and after this overharvesting event. Using whole-genome shotgun sequencing, we generated the first ancient nuclear (n = 11) and mitochondrial (n = 18) genomes from Svalbard reindeer (up to 4000 BP) and integrated these data with a large collection of modern genome sequences (n = 90), to infer temporal changes. We show that hunting resulted in major genetic changes and restructuring in reindeer populations. Near-extirpation and 400 years of genetic drift have altered the allele frequencies of important genes contributing to diverse biological functions. Median heterozygosity was reduced by 23%, while the mitochondrial genetic diversity was reduced only to a limited extent, likely due to low pre-harvest diversity and a complex post-harvest recolonization process. Such genomic erosion and genetic isolation of populations due to past anthropogenic disturbance will likely play a major role in metapopulation dynamics (i.e., extirpation, recolonization) under further climate change. Our results from a high-arctic case study therefore emphasize the need to understand the long- term interplay of past, current, and future stressors in wildlife conservation.

genomics↗

Host-gut microbiota interactions shape parasite infections in farmed Atlantic salmon

Animals and their associated microbiota share long evolutionary histories. Both host genotype and associated microbiota influence phenotypes such as growth and disease resilience. We applied a hologenomic approach to explore the relationship between host and microbiota in shaping lifetime growth and parasitic cestode infection in farmed Atlantic salmon. Genomes, transcriptomes, metabolomes and metagenomes were generated from the guts of 460 harvest-aged salmon, 82% of which were naturally infected with an intestinal cestode. One salmonid-specific Mycoplasma dominated the gut microbiota of uninfected salmon. However, the microbiota was perturbed in smaller, parasitised fish, with increased abundance of Vibrionaceae and other Mycoplasma species previously linked to the cestode microbiota. The cestode-associated Mycoplasma carry more virulence-associated genes than the salmonid Mycoplasma. Colonisation by one cestode-associated Mycoplasma was associated with a region of the salmon genome encoding several long noncoding RNA genes previously associated with host control of intestinal microbiota. Integrating the multiple omic datasets revealed coordinated changes in the salmon gut transcriptome and metabolome that correlated with shifts in the microbiota of smaller, parasitised fish. Our results suggest that cestode infections introduce new microbes and trigger host responses, altering the gut microbiota with increases in potentially pathogenic microbes. Establishment of these microbes is partially shaped by the genetic background of the host. Our study highlights the value of a hologenomic approach for gaining an in-depth understanding of trilateral interactions among host, microbiota and parasite.

systems biology↗

Contrasting genomic consequences of anthropogenic reintroduction and natural recolonisation in high-arctic wild reindeer

Anthropogenic reintroduction can supplement natural recolonisation in reestablishing a species distribution and abundance. However, both reintroductions and recolonisations can give rise to population bottlenecks that reduce genetic diversity and increase inbreeding, potentially causing accumulation of genetic load and reduced fitness. Most current populations of the endemic high-arctic Svalbard reindeer (Rangifer tarandus platyrhynchus) originate from recent reintroductions or recolonisations following regional extirpations due to past overharvesting. We investigated and compared the genomic consequences of these two paths to reestablishment using whole-genome shotgun sequencing of 100 Svalbard reindeer across their range. We found little admixture between reintroduced and natural populations. Two reintroduced populations, each founded by 12 individuals around four decades (i.e. 8 reindeer generations) ago, formed two distinct genetic clusters. Compared to the source population, these populations showed only small decreases in genome-wide heterozygosity and increases in inbreeding and lengths of runs of homozygosity. In contrast, the two naturally recolonised populations without admixture possessed much lower heterozygosity, higher inbreeding, and longer runs of homozygosity, possibly caused by serial population bottlenecks and/or fewer or more genetically related founders than in the reintroduction events. Naturally recolonised populations can thus be more vulnerable to the accumulation of genetic load than reintroduced populations. This suggests that in some organisms even small-scale reintroduction programs based on genetically diverse source populations can be more effective than natural recolonisation in establishing genetically diverse populations. These findings warrant particular attention in the conservation and management of populations and species threatened by habitat fragmentation and loss.

genomics↗

Museomic approaches to genotype historic Cinchona barks

Over the last few centuries, millions of plant specimens have been collected and stored within herbaria and biocultural collections. They therefore represent a considerable resource for a broad range of scientific uses. However, collections degrade over time, and it is therefore increasingly difficult to characterise their genetic signatures. Here, we genotyped highly degraded Cinchona barks and leaves from herbaria using two separate high-throughput sequencing methods (HtS) and compared their performance. We subsequently genotyped specimens using genome skimming, the most commonly performed high-throughput sequencing (HtS) technique. We additionally used a recently developed capture bait set (Angiosperm353) for a target enrichment approach. Specifically, phylogenomic analyses of modern leaf and historical barks of Cinchona were performed, including 23 historical barks and six fresh leaf specimens. We found that samples degraded over time, which directly reduced the quantity and quality of the data produced by both methodologies (in terms of reads mapped to the references). However, we found that both approaches generated enough data to infer phylogenetic relationships, even between highly degraded specimens that are over 230 years old. However, the target capture kit produced data for target nuclear loci and also chloroplast data, which allowed for phylogenies to be inferred from both genomes, whereas it was only possible to use chloroplast data using genome skimming. We therefore find the Angiosperms353 target capture kit a powerful alternative to genome skimming, which can be used to obtain more information from herbarium specimens, and ultimately additional cultural benefits.

genomics↗

Large haploblocks underlie rapid adaptation in an invasive weed

Adaptation is the central feature and leading explanation for the evolutionary diversification of life. Adaptation is also notoriously difficult to study in nature, owing to its complexity and logistically prohibitive timescale. We leverage extensive contemporary and historical collections of Ambrosia artemisiifolia--an aggressively invasive weed and primary cause of pollen-induced hayfever--to track the phenotypic and genetic causes of recent local adaptation across its native and invasive ranges in North America and Europe, respectively. Large haploblocks-- indicative of chromosomal inversions--contain a disproportionate share (26%) of genomic regions conferring parallel adaptation to local climates between ranges, are associated with rapidly adapting traits, and exhibit dramatic frequency shifts over space and time. These results highlight the importance of large-effect standing variants in rapid adaptation, which have been critical to A. artemisiifolias global spread across vast climatic gradients.

evolutionary biology↗

Uncovering the hologenomic basis of an extraordinary plant invasion

While invasive species are a key driver of the global biodiversity crisis, the drivers of invasiveness remain debated. To investigate the genomic basis of invasiveness in plants, we use the invasive weed Ambrosia artemisiifolia, introduced to Europe in the late 19th century, resequencing 655 ragweed genomes, including 308 herbarium specimens collected up to 190 years ago. In introduced European populations, we report selection signatures in defense genes and lower prevalence of particular plant pathogens in the invasive range. Together with temporal changes in population structure associated with introgression from closely related Ambrosia species, escape from microbial enemies likely favoured the plants remarkable success as an invasive species. One-Sentence SummaryThe invasive success of European ragweed was facilitated by release from enemy microbes and inter-species hybridization.

genomics↗