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Undefined epigenetic programs act to probabilistically silence individual autosomal alleles, generating unique individuals, even from genetic clones. This random monoallelic expression can explain variation in traits and diseases that differences in genes and environments cannot. Here, we developed the nematode Caenorhabditis elegans to study monoallelic expression in whole tissues, and defined a developmental genetic regulation pathway. We found maternal H3K9 histone methyltransferase (HMT) SET-25/SUV39/G9a works with HPL-2/HP1 and LIN-61/L3MBTL2 to randomly silence alleles in the intestinal progenitor E-cell of 8-cell embryos to cause monoallelic expression. SET-25 was antagonized by another maternal H3K9 HMT, MET-2/SETDB1, which works with LIN-65/ATF7IP and ARLE-14/ARL14EP to prevent monoallelic expression. The HMT catalytic SET domains of both MET-2 and SET-25 were required for regulating monoallelic expression. Our data support a model wherein SET-25 and MET-2 regulate histones during development to generate patterns of somatic monoallelic expression that are persistent but not heritable. Random monoallelic expression affects everything from the penetrance of genetic disease to immune cell function. Here, the authors found that epigenetic monoallelic expression is regulated in early embryos by two conserved maternal histone methyltransferases.

Monoallelic expression (MAE) or extreme allele bias can account for incomplete penetrance, missing heritability and non-Mendelian diseases. In cancer, MAE is associated with shorter patient survival times and higher tumor grade. Prior studies showed that stochastic MAE is caused by stochastic epigenetic silencing, in a gene and tissue-specific manner. Here, we used C. elegans to study stochastic MAE in vivo. We found allele bias/MAE to be widespread within C. elegans tissues, presenting as a continuum from fully biallelic to MAE. We discovered that the presence of introns within alleles robustly decreases MAE. We determined that introns control MAE at distinct loci, in distinct cell types, with distinct promoters, and within distinct coding sequences, using a 5’-intron position-dependent mechanism. Bioinformatic analysis showed human intronless genes are significantly enriched for MAE. Our experimental evidence demonstrates a role for introns in regulating MAE, possibly explaining why some mutations within introns result in disease. Stochastic autosomal allele expression bias has been widely documented, yet the mechanisms behind this consequential phenomenon remain poorly understood. Here the authors show that the presence of introns greatly restricts monoallelic expression in a C. elegans model.

Mitochondrial dysfunction can increase oxidative stress and extend lifespan in Caenorhabditis elegans. Homeostatic mechanisms exist to cope with disruptions to mitochondrial function that promote cellular health and organismal longevity. Previously, we determined that decreased expression of the cytosolic pentose phosphate pathway (PPP) enzyme transaldolase activates the mitochondrial unfolded protein response (UPRmt) and extends lifespan. Here we report that transaldolase (tald-1) deficiency impairs mitochondrial function in vivo, as evidenced by altered mitochondrial morphology, decreased respiration, and increased cellular H2O2 levels. Lifespan extension from knockdown of tald-1 is associated with an oxidative stress response involving p38 and c-Jun N-terminal kinase (JNK) MAPKs and a starvation-like response regulated by the transcription factor EB (TFEB) homolog HLH-30. The latter response promotes autophagy and increases expression of the flavin-containing monooxygenase 2 (fmo-2). We conclude that cytosolic redox established through the PPP is a key regulator of mitochondrial function and defines a new mechanism for mitochondrial regulation of longevity.

In multicellular organisms such as Caenorhabditis elegans, differences in complex phenotypes such as lifespan correlate with the level of expression of particular engineered reporter genes. In single celled organisms, quantitative understanding of responses to extracellular signals and of cell-to-cell variation in responses has depended on precise measurement of reporter gene expression. Here, we developed microscope-based methods to quantify reporter gene expression in cells of Caenorhabditis elegans with low measurement error. We then quantified expression in strains that carried different configurations of Phsp-16.2-fluorescent-protein reporters, in whole animals, and in all 20 cells of the intestine tissue, which is responsible for most of the fluorescent signal. Some animals bore more recently developed single copy Phsp-16.2 reporters integrated at defined chromosomal sites, others, \"classical\" multicopy reporter gene arrays integrated at random sites. At the level of whole animals, variation in gene expression was similar: strains with single copy reporters showed the same amount of animal-to-animal variation as strains with multicopy reporters. At the level of cells, in animals with single copy reporters, the pattern of expression in cells within the tissue was highly stereotyped. In animals with multicopy reporters, the cell-specific expression pattern was also stereotyped, but distinct, and somewhat more variable. Our methods are rapid and gentle enough to allow quantification of expression in the same cells of an animal at different times during adult life. They should allow investigators to use changes in reporter expression in single cells in tissues as quantitative phenotypes, and link those to molecular differences. Moreover, by diminishing measurement error, they should make possible dissection of the causes of the remaining, real, variation in expression. Understanding such variation should help reveal its contribution to differences in complex phenotypic outcomes in multicellular organisms.

Slowing aging can reduce the risk of chronic diseases. In particular, eliminating senescent cells is a promising approach to slow aging. Previous studies found that both cells from older animals and senescent cells have noisy gene expression. Here, we performed a large-scale single-cell RNA-sequencing time course to understand how transcriptional heterogeneity develops among senescent cells. We found that cells experiencing senescence-inducing oxidative stress rapidly adopt one of two major transcriptional states. One senescent cell state is associated with stress response, and the other is associated with tissue remodeling. We did not observe increased stochastic gene expression. This data is consistent with the idea that reproducible, limited, distinct, and coherent transcriptional states exist in senescent cell populations. These physiologically distinct senescent cell subtypes may each affect the aging process in unique ways and constitute a source of heterogeneity in aging.

Oxygen deprivation has a role in the pathology of many human diseases. Thus it is of interest in understanding the genetic and cellular responses to hypoxia or anoxia in oxygen-deprivation-tolerant organisms such as Caenorhabditis elegans. In C. elegans the DAF-2/DAF-16 pathway, an IGF-1/insulin-like signaling pathway, is involved with dauer formation, longevity, and stress resistance. In this report we compared the response of wild-type and daf-2(e1370) animals to anoxia. Unlike wild-type animals, the daf-2(e1370) animals have an enhanced anoxia-survival phenotype in that they survive long-term anoxia and high-temperature anoxia, do not accumulate significant tissue damage in either of these conditions, and are motile after 24 hr of anoxia. RNA interference was used to screen DAF-16-regulated genes that suppress the daf-2(e1370)-enhanced anoxia-survival phenotype. We identified gpd-2 and gpd-3, two nearly identical genes in an operon that encode the glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase. We found that not only is the daf-2(e1370)-enhanced anoxia phenotype dependent upon gpd-2 and gpd-3, but also the motility of animals exposed to brief periods of anoxia is prematurely arrested in gpd-2/3(RNAi) and daf-2(e1370);gpd-2/3(RNAi) animals. These data suggest that gpd-2 and gpd-3 may serve a protective role in tissue exposed to oxygen deprivation.

There is tremendous variation in biological traits, and much of it is not accounted for by variation in DNA sequence, including human diseases and lifespan. Emerging evidence points to differences in the execution of the genetic program as a key source of variation, be it stochastic variation or programmed variation. Here we discuss variation in gene expression as an intrinsic property and how it could contribute to variation in traits, including the rate of aging. The review is divided into sections describing the historical context and evidence to date for nongenetic variation, the different approaches that may be used to detect nongenetic variation, and recent findings showing that the amount of variation in gene expression can be both genetically programmed and epigenetically controlled. Finally, we present evidence that changes in cell-to-cell variation in gene expression emerge as part of the aging process and may be linked to disease vulnerability as a function of age. These emerging concepts are likely to be important across the spectrum of biomedical research and may well underpin what we understand as biological aging.

Undefined epigenetic programs act to probabilistically silence individual autosomal alleles, generating unique individuals, even from genetic clones. This sort of random monoallelic expression can explain variation in traits and diseases that differences in genes and environments cannot. Here, we developed the nematode to study monoallelic expression in whole tissues, and defined a developmental genetic regulation pathway. We found maternal H3K9 histone methyltransferase (HMT) SET-25/SUV39/G9a works with HPL-2/HP1 and LIN-61/L3MBTL2 to randomly silence alleles in the intestinal progenitor E-cell of 8-cell embryos to cause monoallelic expression. SET-25 was antagonized by another maternal H3K9 HMT, MET-2/SETDB1, which works with LIN-65/ATF7ZIP and ARLE-14/ARL14EP to prevent monoallelic expression. The HMT-catalytic SET domains of both MET-2 and SET-25 were required for regulating monoallelic expression. Our data support a model wherein SET-25 and MET-2 regulate histones during development to generate patterns of somatic monoallelic expression that are persistent but not heritable.

Differences in gene sequence and gene expression underlie variation in traits. However, even monozygotic twins do not express their genes in the same way, develop divergence in traits, and succumb to distinct chronic diseases. During development, epigenetic silencing programs cause diversity in allele expression, resulting in differences in traits and chronic disease risk. To quantify human autosomal allele expression between individuals, we analyzed human allele-specific expression data from the GTEx project. For hundreds of genes, some individuals will express the gene biallelically, while many others may only express one allele or extreme bias towards one allele. We found gene-specific patterns of interindividual variation in allele bias. We found that some individuals have more genome-wide monoallelic/biased expression than others. Individuals also had distinct combinations of allele expression bias. These differences can underlie variation in traits, idiopathic or incompletely penetrant traits/diseases, and chronic diseases. Allele-specific expression can affect cancer, immune response, and genetic disease. This work reveals 1) gene-specific multimodal patterns of interindividual variation in allele bias, 2) that individuals can maintain bias across tissues, and 3) that different individuals have distinct combinations of silenced alleles. These different patterns and the weighted classifications demonstrate how allele bias manifests between individuals; there are individuals and tissues with more biased/non-Mendelian expression and some tissues have more age-related changes in which alleles are silenced.

As people age, the risk of cardiovascular disease, diabetes, cancer and Alzheimer disease increases, making age itself the greatest risk factor many human diseases. Thus, understanding aging can have profound consequences for human health. One striking feature of the aging process is the accumulation of senescent cells with age. When cells become damaged, they can enter into a state of senescence, a permanent cell cycle exit associated with secretion of inflammatory cytokines. In mouse models of aging, the destruction of senescent cells with senolytic drugs delays age-associated decline and extends healthy lifespan. Yet, despite wealth of accumulated knowledge, we do not entirely understand the biology of senescent cells. Prior work has shown that senescence is associated with increased variation in gene expression, suggesting there may be distinct transcriptional signatures of senescence. Understanding the different transcriptional physiological states of senescent cells should allow us to better treat them with cell-type-specific senolytic drugs. Here, we performed a large scale single cell RNA-sequencing time series of experiments to understand the how the transcriptional heterogeneity develops among senescent cell types. Our approach allowed us to observe and classify the different transcriptional signatures of senescent cells as they emerged through time. We found that upon entering oxidative stress-induced senescence, fractions of cells were reproducibly adopting two distinct transcriptional states. One transcriptional state is associated with stress response and the other is associated with tissue remodeling. Our data suggest that combinations of senolytic drugs may more effectively eliminate senescent cells by targeting physiologically distinct sub-populations. Competing Interest Statement The authors have declared no competing interest.