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Ras genes are important oncogenes that are frequently mutated in cancer. Human oncogenic variants exhibit functional distinctions in terms of their representation in different cancer types, impact on cellular targets and sensitivity to pharmacological treatments. However, how these distinct variants influence and respond to the cellular networks in which they are embedded is poorly understood. To identify novel participants in the complex interplay between Ras genotype and cell interaction networks in vivo, we have developed and tested an experimental framework using a simple vulva-development assay in the nematode C. elegans. Using this system, we evaluated a set of Ras oncogenic substitution changes at G12, G13 and Q61. We found that these variants fall into distinct groups based on phenotypic differences, sensitivity to gene dosage and inhibition of the downstream kinase MEK and their response to genetic modulators that influence Ras activity in a non-autonomous manner. Together, our results demonstrated that oncogenic C. elegans Ras variants exhibit clear distinctions in how they interface with the vulva-development network and showed that extracellular modulators yield variant-restricted effects in vivo.

Gene duplication is an important substrate for the evolution of new gene functions, but the impacts of gene duplicates on their own activities and on the developmental networks in which they act are poorly understood. Here, we use a natural experiment of lin-12/Notchgene duplication within the nematode genus Caenorhabditis, combined with characterization of loss- and gain-of-function mutations, to uncover functional distinctions between the duplicate genes in 1 species (Caenorhabditis briggsae) and their single-copy ortholog in Caenorhabditis elegans. First, using improved genomic sequence and gene model characterization, we confirm that the C. briggsaegenome includes 2 complete lin-12genes, whereas most other genes encoding proteins that participate in the LIN-12signaling pathway retain a one-to-one orthology with C. elegans. We use CRISPR-mediated genome editing to introduce alleles predicted to cause gain-of-function (gf) or loss-of-function (lf) into each C. briggsaegene and find that the gfmutations uncover functional distinctions not apparent from the lfalleles. Specifically, Cbr-lin-12.1(gf), but not Cbr-lin-12.2(gf), causes developmental defects similar to those observed in Cel-lin-12(gf). In contrast to Cel-lin-12(gf), however, the Cbr-lin-12.1(gf)alleles do not cause dominant phenotypes as compared to the wild type, and the mutant phenotype is observed only when 2 gfalleles are present. Our results demonstrate that gene duplicates can exhibit differential capacities to compensate for each other and to interfere with normal development, and uncover coincident gene duplication and evolution of developmental sensitivity to LIN-12/Notch activity.

Pathogen invasion leads to fast, local-to-systemic signal transduction that initiates plant defense responses. Despite tremendous progress in past decades, aspects of this process remain unknown, such as which cell types respond first and how signals are transferred among cell types. Here, we used single-cell RNA-seq of >50 000 single cells to document the gene expression landscape in leaves of woodland strawberry during infection by Botrytis cinereaand identify major cell types. We constructed a single-cell atlas and characterized the distinct gene expression patterns of hydathode, epidermal, and mesophyll cells during the incubation period of B. cinereainfection. Pseudotime trajectory analysis revealed signals of the transition from normal functioning to defense response in epidermal and mesophyll cells upon B. cinereainfection. Genes related to disease resistance showed different expression patterns among cell types: disease resistance-related genes and genes encoding transcription factors were highly expressed in individual cell types and interacted to trigger plant systemic immunity to B. cinerea. This is the first report to document the single-cell transcriptional landscape of the plant pathogenic invasion process; it provides new insights into the holistic dynamics of host–pathogen interactions and can guide the identification of genes and the formulation of strategies for resistant cultivar development.