bioRxiv Science⌕ Search

bioRxiv · 10.1101/326769

Deficiency for Piwi results in transmission of a heritable stress that promotes longevity via DAF-16/Foxo

Abstract

The C. elegans Argonaute protein PRG-1/Piwi and associated piRNAs protect metazoan genomes by silencing transposons and other types of foreign DNA. As prg-1 mutants are propagated, their fertility deteriorates prior to the onset of a reproductive arrest phenotype that resembles a starvation-induced stress response. We found that late-generation prg-1 mutants with substantially reduced fertility were long-lived, whereas early- or mid-generation prg-1 mutants had normal lifespans. Loss of the stress response transcription factor DAF-16 caused mid- or late-generation prg-1 mutants to live very short lives, whereas overexpression of DAF-16 enabled both mid- and late-generation prg-1 mutants to live long. Cytoplasmic P-bodies that respond to stress increased in long-lived late-generation prg-1 mutants and were transmitted to F1 but not F2 cross-progeny. Moreover, moderate levels of heritable stress shorten late-generation prg-1 mutant longevity when DAF-16 or P bodies are deficient. Together, these results suggest that the longevity of late-generation prg-1 mutants is a hormetic stress response. However, dauer larvae that occur in response to stress were not observed in late-generation prg-1 mutants. Small germ cell nucleoli that depended on germline DAF-16 were present in late-generation prg-1 mutants but were not necessary for their longevity. We propose that prg-1 mutant germ cells transmit a form of heritable stress, high levels of which promote longevity and strongly reduce fertility. The heritable stress transmitted by PRG-1/Piwi mutant germ cells may be generally relevant to epigenetic inheritance of longevity. Core message of paperprg-1/Piwi mutants with strongly reduced fertility live long and longevity is transmitted for one generation to F1 cross progeny. Stress granules are increased and germ cell nucleoli are small for long-lived Piwi mutants and their F1 progeny. Loss of daf-16 stress response transcription factor or dcap-1 P body protein causes very short life for worms when prg-1 mutant fertility is moderately reduced, whereas moderate fertility is sufficient to extend lifespan when somatic DAF-16 is overexpressed. We propose that prg-1 mutant germ cells transmit a heritable epigenetic factor that is stressful and elicits two hormetic stress responses: reproductive arrest and longevity.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Heestand, B., Simon, M., Frenk, S., Ahmed, S.. 2018-05-19. Deficiency for Piwi results in transmission of a heritable stress that promotes longevity via DAF-16/Foxo. https://doi.org/10.1101/326769

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

KEEP EXPLORING

Related preprints

Cellular context shapes the transcriptomic impact of somatic variants

Somatic SNVs are commonly prioritized by recurrence or sequence annotation, leaving the molecular consequences of private variants unresolved. We developed PrismSNV and Ligo-Seq, a single-cell full-length transcriptome sequencing platform, to quantify transcriptomic displacement associated with within-cell SNV-state toggling. Across 26 samples from three cancer types, more than 60% of candidate SNVs showed significant cell-type-specific displacement with over 30% variation in magnitude. Sequence-based deleteriousness was poorly aligned with cellular displacement, and fewer than 3% of top-displacement SNVs across six tumor types were catalogued in ClinVar. Displacement was strongest in transcriptionally plastic, less differentiated states. Analysis of 655,349 CD4+ T-cell transcriptomes further showed that SNV-gene associations changed in magnitude and sometimes direction during activation. Lack of recurrence or clinical annotation does not imply transcriptomic inertness; variant impact is shaped by cellular context rather than sequence alone, establishing the variant-cell pair as a critical unit for interpreting somatic variation.

genetics↗

Genetic and Epigenetic Landscape of Self-Identified Hispanics/Latino in All Of Us

Human genetic studies still underrepresent many populations, limiting discovery and interpretation of medically relevant variation. Extensive admixture in self-identified Hispanic/Latino populations increases the need for representative reference data and ancestry-aware interpretation of medically relevant variation. We used long-read sequencing to analyze genetic variation, ancestry, and DNA methylation in 1,490 self-identified Hispanic/Latino participants from the All of Us Research Program. We identified 10 million novel variants and more than 100 candidate phenotype associations, with fine-mapping prioritizing structural variants over nearby single-nucleotide variants in more than half. We linked 3,329 tandem repeats to DNA methylation, resolved widespread allele-specific methylation, and identified ancestry-linked regulation across paralogous genes. These results reveal previously inaccessible genetic and regulatory variation and show the value of long-read sequencing for diverse populations.

genetics↗

The genetic architecture of human DNA methylome variation

Population DNA methylome analyses remain largely confined to reference-defined genomic space despite extensive human genetic diversity. A central challenge is therefore to define comparable methylation phenotypes across diverse genomes and map the genetic architecture of methylome variation. Here, using 460 haplotypes from the Human Pangenome Reference Consortium Release 2, we develop two complementary pangenome-based frameworks: one compares methylation within homologous regions while retaining haplotype-specific structural configuration and CpG content; the other represents CpG island (CGI) variation at homologous loci as sequence-resolved alleles. We identified 47,039 CGI alleles, including 8,040 absent from CHM13; 62% were attributable to structural variants and 31% to small variants. Through local genealogies, we reconstructed CGI gain, loss and turnover, revealing how present-day methylation differences align with CGI evolutionary trajectories. We found that genome-wide, methylation variability was buffered against genetic diversity across more than 90% of the genome, with exceptions at extreme nucleotide diversity and locally around structural variants. Our methylation framework enabled population-scale allele-aware methylation quantitative trait locus (mQTL) mapping into non-reference and structurally complex sequence, where mQTL-associated intervals were enriched. mQTLs linked methylation to transcriptomic phenotypes, population differentiation and complex traits, supporting 8% of population differentially methylated regions and colocalizing with more than half of genome-wide association study loci. Together, our study redefines human methylome analysis and our findings reveal a genome-wide architecture of genetic-epigenetic coupling, reshaping how methylation variation is interpreted across human development and disease.

genetics↗