Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.10.11.757921

Asymmetric inter-kingdom gene transfer and a horizontal transposon invasion in a powdery mildew fungus

Abstract

Horizontal DNA transfer can introduce new genetic material into eukaryotic genomes, but how often recent transfers occur between multicellular lineages and what happens to transferred DNA after integration remain poorly understood. Plants and fungi provide a powerful system to address these questions because of their long-standing and intimate ecological associations. Here, we performed an annotation-independent, bidirectional whole-genome screen across 418 plant and 1,081 fungal genomes and identified 22 high-confidence recent horizontal transfer events. Twenty-one involved fungal DNA acquired by plants and were concentrated in bryophytes and Pooideae grasses, revealing pronounced directional and phylogenetic biases. The evolutionary fate of transferred DNA differed across recipient lineages. In Pooideae, fungal-derived genes underwent duplication, structural remodeling and expression divergence, and showed copy-number variation within species. In Marchantia polymorpha, transferred genes remained mostly single-copy but displayed presence-absence variation and ongoing loss among subspecies and natural accessions. In the opposite direction, we identified a plant-derived DNA transposon integrated into the genome of the tomato powdery mildew fungus Pseudoidium neolycopersici. Following transfer, this element remained active and generated a derived family of miniature inverted-repeat transposable elements that expanded to 172 copies. Recent detectable DNA transfer between plants and fungi is therefore uncommon and strongly asymmetric, but transferred sequences can remain highly dynamic after integration. Their subsequent loss, duplication, structural and regulatory diversification, or transposon-driven amplification links rare cross-kingdom acquisition events to ongoing genome variation and diversification.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Mariault, L., Lasserre, E., Qian, J., Hwang, J.-H., Kim, K. D., Gibert, A., Kusch, S., Panstruga, R., El Baidouri, M.. 2026-10-16. Asymmetric inter-kingdom gene transfer and a horizontal transposon invasion in a powdery mildew fungus. https://doi.org/10.64898/2026.10.11.757921

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Experimental evolution unveils a role for structural variants and sex-specificity in the genetic architecture of lifespan

Insights into the genetic basis of lifespan evolution can link evolutionary theory with an understanding of health, disease and adaptation. We leverage the power of >200 generations of experimental evolution in a seed beetle to unveil the genomic architecture of lifespan evolution. Replicated populations evolved under regimes favoring either a short or long life, resulting in a near doubling of lifespan. Whole genome re-sequencing revealed that short- and long-lived lines were strongly differentiated (global FST = 0.41) and more than 700 genes showed consistent signs of divergent selection. Remarkably, short- and long-lived lines were consistently divergent in a large number of regions harboring copy-number variants (CNVs), involving >600 genes. The evolution of a long life involved many distinct biological processes, such as DNA fidelity, mitotic integrity, reproduction, metabolism, immunity and stress response. A pedigree-based genome scan for quantitative trait loci (QTLs) uncovered several QTLs with large effects on lifespan, but the genetic basis of a long life was dominated by a very large number of regions with medium and small effects. The genome-wide spatial association with QTL effects was, if anything, stronger for CNVs than for sequence variants. The genetic effects of QTLs on lifespan were positively correlated overall between the sexes, but four regions showed pronounced sex-differences. Our results show that structural variants play a significant role in the evolution of an extended lifespan and the highly polygenic genomic architecture is to some extent sex-specific, consistent with differences in physiology and life history tradeoffs between the sexes.

evolutionary biology↗

Genome-wide fluctuating selection under demographic cycling in Icelandic rock ptarmigan

Understanding how natural populations adapt to continuously shifting environments is central to evolutionary biology. Multi-annual population cycles impose temporally varying selective pressures, yet disentangling the resulting genomic signals from those of sustained directional selection and genetic drift has been challenging due to a lack of high-resolution temporal data. Here we investigate the genomic consequences of demographic cycling in a population of rock ptarmigan (Lagopus muta) from northeastern Iceland. We analyzed whole-genome sequences from 91 individuals sampled over an 11-year period, encompassing two population peaks (2010 and 2018) and two troughs (2007 and 2013). Testing allele frequency change at each SNP against a null model of drift and sampling, we identified candidate loci and grouped them by correlation of their temporal trajectories. Cluster trajectories fluctuated through time, and two were closely correlated with the regional census, one significantly tracking the demographic cycle, while a smaller set changed monotonically in a manner consistent with sustained directional selection. Each cluster contained loci distributed across many chromosomes, indicative of genome-wide responses to selection. The most strongly fluctuating loci overlapped candidate genes of possible functional relevance, most notably CTNNA2 (Catenin Alpha-2), which is associated with startle response and anxiety-like behaviors and may relate to predator avoidance. Our findings indicate that fluctuating selection comprises much of the temporal genomic response in this natural population, and suggest that multi-annual demographic cycles can drive rapid and widespread allele frequency change, highlighting the value of temporal genomics for clarifying the interplay between demography and natural selection in wild populations.

evolutionary biology↗

How many mutations does it take to evolve a new function?

Biochemical and genetic networks in cells evolve to produce new functions. Evolution is guided by the genotype to phenotype map which describes how mutations at the molecular scale lead to changes in network function at the cellular scale. The number of genotypes is astronomically large which makes these maps very high dimensional. In this context, the simple question: How many mutations does it take to evolve a new function?, is usually hard to answer. Here we consider this question in the context of a simple Boolean-network model of a genotype-phenotype map. The nodes and edges of the Boolean network represent the genotype while the Boolean function the network computes is the phenotype. The network evolves by rewiring of its edges, while keeping the number of nodes fixed. We compute the number of mutations needed to achieve a new Boolean function as a function of the number of nodes in the network. We show that the number of mutations scales with the number of nodes of the network as a power-law with an exponent determined by local geometrical features of the genotype-phenotype map. Our theoretical study emphasizes the role of the genotype-phenotype map in determining the time to evolve a new function.

evolutionary biology↗