Project description:Intergenerational inheritance (Inter-I) of phenotypic characteristics has been demonstrated in plants and invertebrates, with epigenetic modifications playing a role in the inheritance of a variety of features such as appearance1, adaptation to stress, or resistance to infections. Here we provide evidence of Inter-I of transcriptional and epigenetic signatures of trained immunity to the progeny of mice that survived a sublethal systemic Candida albicans infection. Intergenerational trained mice (F1) presented with significant cellular, developmental, transcriptional, and epigenetic changes within the bone marrow resident myeloid effector and progenitor cell compartment. These alterations led to an enhanced responsiveness to in vivo endotoxin challenge and Escherichia coli infection, providing the offspring with protection against heterologous infections. These results argue for the contribution of Lamarckian evolutionary processes to protect against infections in vertebrates.
Project description:While RNA interference (RNAi) functions as a potent antiviral innate immune response in plants and invertebrates, mammalian somatic cells appear incapable of mounting an RNAi response and few small interfering RNAs (siRNAs) can be detected. To examine why siRNA production is inefficient, we have generated double knockout human cells lacking both Dicer and PKR. Using these cells, which tolerate dsRNA expression, we show that mutant forms of human Dicer lacking the amino-terminal helicase domain can process dsRNAs to produce high levels of siRNAs that are readily detectable by Northern blot and that can effectively and specifically inhibit the expression of cognate mRNAs. However, even these more active Dicer mutants produce only modest levels of viral siRNAs in infected cells that are insufficient to inhibit viral replication. We conclude that the production of siRNAs from viral dsRNAs is likely inefficient due to the poor accessibility of viral dsRNAs to Dicer.
Project description:Targeted genomic enrichment followed by next-generation sequencing dramatically increased the efficiency of mutation discovery in human genomes. Here we demonstrate that these techniques also revolutionize traditional genetic approaches in model systems. We developed a two-step protocol utilizing a traditional bulk-segregant analysis (BSA) approach for positional cloning mutants in phenotype-driven forward genetic screens. First, BSA pools are 'light' sequenced for rough mapping, followed by targeted enrichment and deep-sequencing of the mutant BSA pool for the linked genomic region to fine-map and discover candidate mutations. We applied this method successfully to three Arabidopsis mutants and show that it can be scaled by multiplexing. Similarly, we applied these techniques to a gene-driven reverse genetics method (chemical driven target-selected mutagenesis or TILLING) that is used for generating gene knockouts in a wide range of organisms, including plants, invertebrates and vertebrates. We developed an efficient multiplexed genomic enrichment protocol for pre-barcoded samples. As a proof-of-principle, 770 genes were screened for induced mutations in 30 rats, which identified all but one known variants (30) as well as a large series of novel knockout and missense alleles. Mutations were retrieved at the expected frequency with a the false-positive rate of less than 1 in 6 million basepairs, which is much lower as compared to traditional mutation discovery approaches. Both methods are largely independent of the genome size due to the targeted enrichment and can thus be applied to any genetic model system of interest. Targeted genomic enrichment followed by next-generation sequencing dramatically increased the efficiency of mutation discovery in human genomes. Here we demonstrate that these techniques also revolutionize traditional genetic approaches in model systems. We developed a two-step protocol utilizing a traditional bulk-segregant analysis (BSA) approach for positional cloning mutants in phenotype-driven forward genetic screens. First, BSA pools are 'light' sequenced for rough mapping, followed by targeted enrichment and deep-sequencing of the mutant BSA pool for the linked genomic region to fine-map and discover candidate mutations. We applied this method successfully to three Arabidopsis mutants and show that it can be scaled by multiplexing. Similarly, we applied these techniques to a gene-driven reverse genetics method (chemical driven target-selected mutagenesis or TILLING) that is used for generating gene knockouts in a wide range of organisms, including plants, invertebrates and vertebrates. We developed an efficient multiplexed genomic enrichment protocol for pre-barcoded samples. As a proof-of-principle, 770 genes were screened for induced mutations in 30 rats, which identified all but one known variants (30) as well as a large series of novel knockout and missense alleles. Mutations were retrieved at the expected frequency with a the false-positive rate of less than 1 in 6 million basepairs, which is much lower as compared to traditional mutation discovery approaches. Both methods are largely independent of the genome size due to the targeted enrichment and can thus be applied to any genetic model system of interest.