bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.05.18.541360

Expression, not sequence, distinguishes miR-238 from its miR-239ab sister miRNAs in promoting longevity in Caenorhabditis elegans

Abstract

MicroRNAs (miRNAs) regulate gene expression by base-pairing to target sequences in messenger RNAs (mRNAs) and recruiting factors that induce translational repression and mRNA decay. In animals, nucleotides 2-8 at the 5 end of the miRNA, called the seed region, are often necessary and sometimes sufficient for functional target interactions. MiRNAs that contain identical seed sequences are grouped into families where individual members have the potential to share targets and act redundantly. A rare exception seemed to be the miR-238/239ab family in Caenorhabditis elegans, as previous work indicated that loss of miR-238 reduced lifespan while deletion of the miR-239ab locus resulted in enhanced longevity and thermal stress resistance. Here, we re-examined these potentially opposing roles using new strains that individually disrupt each miRNA sister. We confirmed that loss of miR-238 is associated with a shortened lifespan but could detect no longevity or stress phenotypes in animals lacking miR-239a or miR-239b, individually or in combination. Additionally, dozens of genes were mis-regulated in miR-238 mutants but almost no gene expression changes were detected in either miR-239a or miR-239b mutants compared to wild type animals. We present evidence that the lack of redundancy between miR-238 and miR-239ab is independent of their sequence differences; miR-239a or miR-239b could substitute for the longevity role of miR-238 when expressed from the miR-238 locus. Altogether, these studies disqualify miR-239ab as negative regulators of aging and demonstrate that expression, not sequence, dictates the specific role of miR-238 in promoting longevity. Author SummaryMicroRNAs (miRNAs) are tiny non-coding RNAs that function in diverse biological pathways. To exert their regulatory influence, miRNAs bind to specific target RNAs through partial base-pairing. A critical aspect of this miRNA-target engagement is the seed sequence, nucleotides 2-8 of the miRNA. MiRNAs that share seed sequences are grouped into families and presumed to have similar functions. Yet, other factors, such as non-seed sequences in the miRNA and its expression level, can also contribute to target regulation and result in distinct roles for miRNAs within a family. To better understand how miRNA family members can have specific functions, we focused on miR-238 and its sisters, miR-239a and miR-239b, because these miRNAs had previously been reported to play opposing longevity roles in the nematode C. elegans. Using new genetic tools, we found that loss of miR-238 alone leads to the misregulation of many genes and a reduced lifespan. However, the lack of miR-239a, miR-239b, or both sisters had almost no effect on gene expression or longevity compared to wild type animals. Strikingly, though, miR-239a or miR-239b could substitute for the aging role of miR-238 when expressed from the miR-238 locus. Thus, expression, not sequence, is the predominant distinguishing feature of mir-238 that bestows upon it a role in aging not shared with the other family members.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Chipman, L. B., Luc, S., Nicastro, I. A., Hulahan, J. J., Dann, D. C., Bodas, D. M., Pasquinelli, A. E.. 2023-05-22. Expression, not sequence, distinguishes miR-238 from its miR-239ab sister miRNAs in promoting longevity in Caenorhabditis elegans. https://doi.org/10.1101/2023.05.18.541360

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

KEEP EXPLORING

Related preprints

Genetic ancestry influences the relative expression of ancestral haplotypes within admixed individuals

Allele-specific expression (ASE) reflects differences between the two haplotypes a person carries, but most ASE studies have been done in European-descent samples. Admixed individuals carry haplotypes from different ancestral backgrounds within the same cell, which allows ancestry effects on regulation to be measured directly. We integrated phased whole-blood RNA-seq with local ancestry inference in 779 participants from the MAGENTA cohort, including non-Hispanic White, African American, Caribbean Hispanic, and Peruvian individuals. Higher West African (YRI) ancestry proportion was associated with more ASE-positive genes per person, and the association remained after adjusting for age, sex, Alzheimer's disease status, APOE genotype, and the number of heterozygous genes. Peruvian ancestry showed no significant association. A gene-level test of imbalance across population groups found 2,053 of 15,008 genes with significant differences, including the major histocompatibility complex in all four groups. A genome-wide scan of 2,213 1 Mb windows compared people carrying two haplotypes of different ancestries with those carrying two of the same ancestry. It identified 52 non-redundant loci that replicated across all four population groups, containing 201, 60, and 110 ancestry-associated genes under the CEU, YRI, and PEL reference baselines. A haplotype-resolved directional analysis showed no genome-wide advantage for either ancestry. It found locus-specific dominance at 11 loci, and only chr8:2-3 Mb (CSMD1) showed the same direction in more than one population group. Genetic ancestry therefore shapes allelic regulation at global, gene, and locus scales.

genetics↗

Assembly-independent measurement of human Yq12 heterochromatin reveals population-scale variation and Yq12-derived RNA in testis

Despite advances in long-read sequencing and telomere-to-telomere assembly, population-scale analysis of large satellite arrays remains challenging. Human Yq12 is a megabase-scale heterochromatic region composed primarily of DYZ1/HSat3A6 and DYZ2/HSat1B repeats, whose near-equal proportions are maintained despite extensive variation in total array length. Here, using complete Y-chromosome assemblies, we developed k-mer-based tools to estimate Yq12 size directly from short- and long-read sequencing data without requiring sample-specific complete assemblies. Across 1,597 males from the 1000 Genomes Project, Yq12 length ranged from ~1 to 52 Mb (mean 26.5 Mb) and varied substantially within and between Y haplogroups. Phylogenetic analyses supported long-term constraint of total Yq12 length near an equilibrium of 26 Mb and strongly coupled evolution of DYZ1 and DYZ2 around near-parity composition. In 303 father-son pairs, fathers had longer estimated Yq12 regions in 70.6% of pairs, while sons more often showed DYZ1:DYZ2 ratios closer to 1:1. Testis Iso-Seq identified transcripts containing DYZ1 and DYZ2 satellite sequences, while single-cell RNA-seq revealed their expression in haploid spermatids. These results establish a scalable framework for studying Yq12 population variation, intergenerational dynamics, and transcription, providing new opportunities to investigate how extreme satellite-array variation relates to Y-chromosome evolution and male germ-cell biology.

genetics↗

Continuous ancestry profiles from genomes and genealogies

Using a single population label to represent an individual's ancestry may offer convenience, but ancestry is multidimensional, continuous, and reflects contributions from multiple ancestral sources. Here, we demonstrate empirically that ancestry profiles outperform categorical ancestry labels in capturing this complexity. Relatedness among 28,332 genotyped individuals was measured using haplotype painting and ordination and was regressed on regional ancestry proportions from the deep genealogies available for one-third of the cohort. When tested on participants in a validation set, predicted profiles placed 78% of documented ancestry in the correct region, against 48% for the training set average. Giving each participant a single regional label placed only 32% of their documented ancestry correctly, and a perfect classifier naming each person's largest documented region would reach only 38%, because most individuals carry ancestry from several regions. Thus, the continuous profile captures substantially more ancestry than any classification, providing support for representing ancestry as a continuum rather than a label.

genetics↗